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Fundamental Solutions Newtonian Potentials and Green Functions
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Areas of Elementary Plane Figures
- Binary Operations, Monoids, Groups and Subgroups
- Compactness
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Connectedness
- Constant Rank, Submersions, Immersions and Regular Level Sets
- Construction of the Natural Numbers
- Construction of the Real Numbers via Cauchy Sequences
- Construction of the Real Numbers via Dedekind Cuts
- Continuity, IVT, EVT, and Uniform Continuity
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Countability Axioms and Cardinal Functions
- Density Separability and Convolution in Lᵖ
- Determinants of Matrices over a Commutative Ring
- Distributions Test Functions and Differentiation
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Euclidean Surface Measure, Divergence, and Green Identities
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Finite Probability and the Probabilistic Method
- Foundations of the Real Numbers for Analysis
- Fubini and Change of Variables
- Fundamental Trigonometric Identities
- Gaussian Elimination, Elementary Matrices and Reduced Row Echelon Form
- Group Actions, Orbits, Stabilisers and Cayley's Theorem
- Harmonic Functions and Mean Values in Rn
- Hausdorff via the Diagonal
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Improper and Parameter-Dependent Multiple Integrals
- Improper Integrals
- Inner Product Spaces, Gram-Schmidt, Projections and Adjoints
- Lebesgue Measure on Euclidean Space
- Limits of Real Functions
- limsup, liminf, and Subsequential Limits
- Linear Independence, Bases and Dimension
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Matrices, the Matrix of a Linear Map, and Change of Basis
- Maximum Principles Harnack and Liouville in Rn
- Measurable Functions and Simple Approximation
- Measures and Their Basic Properties
- Metric Spaces
- Mixed Partials, Taylor Formulae, and Extrema
- Monotone Functions, Discontinuities, and Continuity Sets
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Normal Subgroups and Quotient Groups
- Normed and Banach Spaces
- Norming and Separation under Hahn–Banach
- Order, Zorn's Lemma, and the Axiom of Choice
- Outer Measure and the Caratheodory Extension Theorem
- Polynomial Rings, the Division Algorithm and Roots
- Power Series and Real-Analytic Functions
- Product Measures and the Fubini Tonelli Theorems
- Properties of the Integral and the Working FTC
- Radon Measures and the Riesz Markov Kakutani Theorem
- Regular Surfaces and Surface Integrals
- Relations, Functions, and Quotients
- Rings, Subrings, Integral Domains and Fields
- Rⁿ as a Normed Space; Vector-Valued Functions
- Roots, Rational Powers, and Classical Inequalities
- Schwartz Space and the Plancherel Theorem
- Separation Axioms: the Hierarchy
- Sequences and Limits
- Sequences and Series of Functions; Uniform Convergence
- Series: Convergence and the Nonnegative Tests
- Sigma Algebras and Borel Sets
- Simple Field Extensions and the Construction of the Complex Numbers
- Sine, Cosine, and the Definition of Pi
- Smooth Partitions of Unity and Exhaustions
- Subspaces, Products, and Quotients
- Suprema and Infima
- Symmetric Groups, Cycle Decomposition and the Sign Homomorphism
- The Cantor Set, Baire Category, and Measure Zero in ℝ
- The Derivative and the Mean Value Theorems
- The Determinant of a Linear Operator, Cofactors and Cramer's Rule
- The Divergence Theorem and Classical Stokes
- The Exponential Function
- The Fundamental Theorems of Calculus
- The Inverse and Implicit Function Theorems
- The Inverse Function Theorem Completed
- The Lebesgue and Riemann Integrals Compared
- The Lebesgue Integral and the Convergence Theorems
- The Logarithm and General Powers
- The Lᵖ Spaces Holder Minkowski and Riesz Fischer
- The Maximal Function and Lebesgue Differentiation
- The Real Gamma and Beta Functions
- The Riemann Integral in Rᵐ and Jordan Content
- The Riemann Integral: Definition and Integrability
- The Topology of Euclidean Space
- The Total Derivative in ℝᵐ → ℝⁿ
- The ZFC Axioms and the Basic Set Constructions
- Topological Spaces and Continuity
- Topology of ℝ
- Triangularisation, Generalised Eigenspaces and Jordan Canonical Form
- Vector Spaces, Linear Subspaces, Span and Direct Sums
- Volumes of Elementary Solids and Solids of Revolution
2 · Summary
This page fixes the sign convention and the normalized kernel for , for , proves the distributional Dirac identity , and develops Newtonian potentials of compactly supported data: absolute convergence for bounded compact data, far-field decay, the distributional Poisson equation for compact data and the classical result for Hölder data. The Dirichlet Green function is then treated through uniqueness and positivity, symmetry in its two slots, the Poisson kernel , the Green representation formula for classical data, and the zero-Dirichlet and Dirichlet/Neumann uniqueness corollaries. The Laplace-kernel and Green-function results on this page assume ; the opening constant-coefficient fundamental-solution definition and the componentwise Neumann-uniqueness corollary also cover . The one-dimensional interval Green kernel is an analogue confined to the examples page.
All boundary-flux computations use the Euclidean surface measure, divergence theorem and Green identities of the surface-measure page, as recorded in the closing remark; the outward normal is used on the outer boundary and reversed on every excised inner sphere. Countable Choice () is stated and propagated by every item that invokes those measure, surface, divergence or Green interfaces, and no full Axiom of Choice is used. The Green representation theorem assumes a bounded domain carrying a Dirichlet Green function whose correctors satisfy ; no existence of Green functions is asserted, the Neumann compatibility equation is necessary only, and no weak-boundary, interior- or manifold-Stokes strengthening is claimed here.
3 · Logical flowchart
4 · Definitions, theorems and proofs
Fundamental solution of a constant-coefficient operator
Statement
For a constant-coefficient differential operator on , a distribution is a fundamental solution when . Its translate satisfies , with translation defined on test functions and no conjugation in the pairing.
Definition
The translation of a distribution by is the distribution defined by A fundamental solution of is a distribution such that . Here is a finite linear combination of distributional partial derivatives with constant scalar coefficients, and denotes the fixed derivative convention used to write that operator. The pairing is complex bilinear, so translation introduces no conjugation.
Facts & Assumptions
Given: , fixed , a test function , and a constant-coefficient operator that is a finite linear combination of distributional partial derivatives.
A distribution is a continuous complex-linear functional on test functions, and its pairing is linear in both arguments with no conjugation. (Distribution).
Distributional derivatives are defined by . (Distributional derivative).
Test-function translation is a continuous isomorphism between the corresponding LF test spaces. (Test function operations are continuous).
The Dirac distribution satisfies . (Dirac delta and its derivatives).
Proof
Define by the displayed pairing. By [F3], is a test function, and by [F1] composition with is a continuous complex-linear functional. Thus is a distribution; the formula is bilinear and uses no complex conjugation.
For every multi-index , use [F2] and then differentiate the translated test directly to obtain The equality follows because and is fixed.
By linearity of the distribution pairing, step 1.2 extends from each partial derivative to their finite constant-coefficient combination . Hence . If , [F4] makes the right side , so . This proves the translated point-source assertion.
The calculation also covers the zero operator: its premise cannot hold since evaluates a test with value at zero as . For the same multi-index computation applies unchanged; in the zero-dimensional formal case the only translation is by and the assertion is the premise itself. There are no spatial boundary endpoints on , and the proof uses only the fixed translation and finite algebra, not a choice axiom.
Source notes
Teschl §5.3 equations (5.19)–(5.21), printed p. 117; Hunter §2.6 point-source interpretation, printed pp. 33–34. The translation identity is derived from the distributional derivative definition and fixed test-function translation, with signs checked in the bilinear pairing convention.
Fundamental solution for the positive operator minus Laplacian
Statement
Assume Countable Choice and . With in the published chart/polar convention, set for and for , . Extend it as a locally integrable function at the pole. The one-dimensional analogue is ; the subsequent Green theory does not silently include it.
Definition
The kernel candidate for the operator is Its value at may be assigned arbitrarily; the resulting measurable function is interpreted through its locally integrable class. Here is the chart surface measure, which agrees with the polar measure . In dimension one put . This fixes the positive-minus-Laplacian sign convention; the later distributional theorem proves for .
Facts & Assumptions
Given: Assume , let , and use the published chart/polar convention for surface measure and Lebesgue polar coordinates. The one-dimensional profile is considered separately.
Countable Choice, written , says every sequence of nonempty sets has a choice function. (The Axiom of Countable Choice ()).
The chart surface measure agrees with the polar measure and satisfies . (Agreement with the existing polar sphere measure).
Every Euclidean ball of positive radius has positive finite Lebesgue measure under Countable Choice. (Euclidean balls have positive finite Lebesgue measure).
The unit ball volume is , hence in dimension two. (The closed form for the volume of the unit -ball).
For nonnegative Borel , polar integration gives . (Polar coordinates decompose Lebesgue measure into r^{n-1} dr d sigma).
A distribution is a fundamental solution of a constant-coefficient operator when . (Fundamental solution of a constant-coefficient operator).
A locally integrable function defines the regular functional . (Regular distribution from a locally integrable function).
Distributional second derivatives act by the signed test derivative formula. (Distributional derivative).
The Dirac distribution satisfies . (Dirac delta and its derivatives).
The Laplacian is the divergence of the gradient, with . (The Laplacian of a function and of a vector field).
Under Countable Choice, every singleton in is Lebesgue null. (A box with a degenerate side is Lebesgue null, and so is every coordinate hyperplane in ).
Proof
By [F1] and [F2], is finite and strictly positive. In dimension two, [F3] gives , so and the logarithmic coefficient in the Statement is exactly . The operator sign is using the definition [F9]. This uses the Countable Choice assumption [A1] through the measure convention.
In dimension one, , so is locally integrable. For a test , [F7] gives . The slopes of are to the left of zero and to the right; integrating by parts separately on the two half-lines, the compact-support endpoint terms vanish and , so the negative integral equals by [F8]. Thus and [F5] identifies it as the one-dimensional fundamental-solution analogue for .
Let . For , [F4] gives . For , using from step 1.1, it gives . The polar integration use [F4] also assumes [A1].
The formulas are continuous away from zero, so they are integrable on every compact set avoiding the pole. Step 2.1 proves integrability in a neighborhood of the pole; hence . By [F10], changing its value at the single point zero does not change its almost-everywhere class, and [F6] defines the corresponding regular functional.
The zero-dimensional case is outside the stated kernel and has no unit-sphere convention used here. The polar endpoint is included as an improper integral in step 2.1; away from zero the kernel is smooth. Countable Choice is used only through [F1], [F2], and [F4]; no full Axiom of Choice is used.
Source notes
Hunter §2.6 equations (2.12)–(2.13), printed p. 33; Teschl §5.3 equations (5.22)–(5.26), printed pp. 117–118. The one-dimensional formula is checked directly by its slope jump; for the distributional Dirac identity is proved later rather than assumed in this definition.
Distributional derivatives commute with test-function convolution
Statement
For a distribution on and a test function , every multi-index satisfies , as smooth functions on their common safe domain.
Facts & Assumptions
Given: , , and a multi-index . The convolution is bilinear and uses the test .
For and , is smooth on its open safe domain and there. (Convolution with a test function is smooth).
The convolution is wherever the translated test is supported in the distribution domain. (Convolution of a distribution with a test function).
Distributional differentiation satisfies . (Distributional derivative).
Proof
For , every translated compact support lies in , so the safe domain is all of . Also is a test function with support contained in . Thus all three convolutions are defined there by [F2].
By the smoothness and parameter-differentiation conclusion in [F1], differentiating the pairing in [F2] gives .
The signed derivative definition [F3] gives . Since , the two signs cancel and this equals the expression in step 1.2. Hence all three smooth functions agree on the safe domain.
The same calculation includes ; if or each side is zero; for it is the same one-variable derivative calculation, and formally for the only multi-index is zero and the identity is tautological. There are no spatial boundary endpoints on , and no choice is used.
Source notes
Hunter §§2.5–2.7, printed pp. 32–42. The exact identity is already a consequence of the published whole-domain convolution-smoothness theorem in the library; this item records the whole-space specialization and displays the signed derivative computation in the repository's bilinear convention.
Necessary compatibility for the classical Neumann Poisson problem
Statement
Assume is bounded with boundary, , , and outward normal derivative . Then .
Facts & Assumptions
Given: Assume . Let be a bounded domain in the published Euclidean surface convention, let , and let real with and . Complex-valued data are handled by real and imaginary parts.
Countable Choice, written , says every sequence of nonempty sets has a choice function. (The Axiom of Countable Choice ()).
For , a bounded domain and satisfy . (Divergence on a bounded C1 Euclidean domain).
The Laplacian is . (The Laplacian of a function and of a vector field).
The classical normal derivative is for the outward unit normal. (Classical normal derivative).
In this surface-integration convention a bounded domain is nonempty and has dimension . (Bounded C1 domains and their outward normals).
Proof
For real , the gradient field belongs to by the stated closure convention. By [F2], , and by [F3], at each boundary point.
Apply the divergence theorem [F1] to the field in step 1.1. It gives . This use of [F1] requires exactly the Countable Choice assumption [A1].
Since , negating the identity in step 2.1 yields . For complex-valued , apply this real calculation separately to real and imaginary parts.
If , the identity says the total outward Neumann flux is zero; if also , both sides vanish. The theorem applies on every boundary component with the outward orientation specified in [F3]. The domain class in [F4] excludes the empty set and dimensions zero or one. No converse or sufficiency for existence is asserted.
Source notes
Hunter §1.12, Theorem 1.46, printed pp. 17–18, gives the divergence formula; Hunter §2.5, Theorem 2.23, printed p. 32, gives the same flux identity as the first Green formula with the constant test function. The negative sign comes only from .
Puncturing a connected open subset of preserves path-connectedness for
Statement
Let , let be nonempty, open and connected, and let . Then is a nonempty, open, connected, path-connected set.
Facts & Assumptions
Given: The objects and hypotheses in the statement, with Euclidean balls and spheres as in Euclidean spheres and closed balls as subspaces of .
A connected open subset of is polygonally connected, and a polygonal path has finitely many affine pieces (For an open subset of , connectedness, path-connectedness and polygonal connectedness are equivalent, Polygonal paths and polygonally connected subsets of ).
For , the unit sphere is path-connected (For , the sphere is path-connected and connected). Translation and positive scaling take a path on the unit sphere continuously to a path on any sphere ; indeed for .
A path is a continuous map from , and finitely many continuous pieces that agree at their shared endpoints paste to a continuous path (Paths, path-connected spaces and path components, Continuity may be checked on any open cover, and on any finite closed cover; composites of continuous maps are continuous).
Every path-connected space is connected (Every path-connected space is connected, and every path component lies inside a component).
Proof
Fix . If , the constant path at lies in the punctured set. Otherwise [F1] gives a polygonal path from to . Choose small enough that and . If avoids , it already gives the required path.
Suppose meets . The preimage is a finite union of closed intervals: on each of the finitely many affine pieces in [F1], the preimage of the convex closed ball is a closed interval, possibly empty or a point. Its connected components are therefore finitely many closed intervals . Since the endpoints lie outside the closed ball, each component is contained in , and continuity and maximality give . If , that component is a single sphere point and cannot contain .
For each component with , use [F2] to choose a continuous path on from to , reparameterized on . Replace on those finitely many intervals by these sphere paths and retain it on the intervening closed intervals. The pieces agree at every endpoint, so [F3] gives a continuous path . Every replacement lies on a sphere of positive radius and hence misses ; the retained portions lie outside the closed ball, apart from singleton components already on the sphere. Some component has positive length because meets the interior point . Thus avoids and joins to . This also covers any zero-length polygonal pieces and tangencies to the sphere.
The construction proves path-connectedness, including equal endpoints by the constant path in step 1.1. The set is open: for each in , openness of gives a ball about contained in , and shrinking its radius below makes it avoid . It is nonempty because a ball about contains for some sufficiently small , where . By [F4] it is connected. The proof covers zero-length polygonal pieces, tangent singleton components and the case ; no infinite family of detours or iff claim is used. [F3, F4, given, step 1.1, step 3.1, algebra, cases, discharge-construct] \square
Source notes
This is an elementary local supplier proved from the cited path-connectedness, polygonal-path and finite-pasting interfaces. The underlying path-connectedness facts are treated in the cited topology references; the finite detour construction is given here in full. No external PDE or potential-theory result is used.
Classical Neumann solutions differ by componentwise constants
Statement
Assume when . Assume , , is a bounded domain with finitely many connected components. If solve the same Poisson equation and have the same outward normal derivative on , then is constant on each connected component. In particular it is constant when is connected.
Facts & Assumptions
Given: Assume . The set is a bounded open set with finitely many connected components, each a bounded domain; have equal Laplacians and equal outward normal derivatives.
Countable Choice, written , says that every sequence of nonempty sets has a choice function. (The Axiom of Countable Choice ()).
For , real and on a bounded domain, the first Green identity is . (First Green identity).
The classical normal derivative is , with the continuous interior gradient and the outward unit normal. (Classical normal derivative).
For a differentiable map on a nonempty connected open Euclidean set, zero derivative is equivalent to constancy. (A differentiable map on a connected open Euclidean set has zero derivative exactly when it is constant).
If a real function is continuous on and differentiable on , then for some . (The mean value theorem, as the case of Cauchy's: for continuous on with and differentiable on there is with ).
A subset of is connected exactly when it is order-convex. (A subset of is connected if and only if it is order-convex, that is, an interval).
Sums and scalar multiples of differentiable maps have the corresponding sum and scalar-multiple derivatives. (Sums and scalar multiples of totally differentiable maps are totally differentiable with the expected derivatives).
For a scalar function, the Laplacian is the trace of the derivative of its gradient. (The Laplacian of a function and of a vector field).
Proof
First take real-valued functions and put . By [F6], ; taking traces and using [F7] gives on every component. By [F2] and the same derivative linearity, on its boundary. For complex-valued functions, apply this real argument separately to their real and imaginary parts.
Suppose and fix a connected component . Apply [F1] with on . The volume integrand is and the boundary integrand is , so . Continuity of forces throughout : if it were nonzero at one point, it would be bounded away from zero on a small ball of positive measure. By [F3], is constant on . The invocation of [F1] uses precisely the Countable Choice assumption [A1].
Suppose . By [F5], each connected component is an interval; boundedness makes it an interval with finite endpoints . The equation in step 1.1 is . For any in , the mean value theorem [F4] applied to on gives , so is constant on . Its continuous trace at the right endpoint is zero because the outward normal there is and . Thus on , and [F3] gives that is constant there.
The components are handled independently, so their constants need not agree. If there is only one component, the conclusion is one constant on all of ; zero difference is included. In dimensions at least two, the only use of is through [F1] under [A1]; the interval proof in dimension one uses no choice.
Source notes
Hunter §2.5, Theorem 2.23, equations (2.10)–(2.11), printed p. 32. The energy argument is the Neumann uniqueness corollary of that identity; the one-dimensional case is derived directly to respect the cited theorem's stated hypothesis.
Local integrability of the Laplace fundamental kernel
Statement
Assume Countable Choice and . The normalized Laplace kernel is locally integrable on : its singularity is for and for . It therefore defines a regular distribution.
Facts & Assumptions
Given: Assume and let . Write in the chart/polar convention and take the normalized kernel from Fundamental solution for the positive operator minus Laplacian.
Countable Choice, written , says every sequence of nonempty sets has a choice function. (The Axiom of Countable Choice ()).
For , ; for , , for . (Fundamental solution for the positive operator minus Laplacian).
Polar integration gives the integral of a nonnegative Borel function as the radial integral against . (Polar coordinates decompose Lebesgue measure into r^{n-1} dr d sigma).
The chart surface measure equals the polar measure and . (Agreement with the existing polar sphere measure).
Every Euclidean ball of positive radius has positive finite Lebesgue measure. (Euclidean balls have positive finite Lebesgue measure).
The nonnegative integral is monotone under pointwise order. (Monotonicity and nonnegative homogeneity of the nonnegative integral).
Every compact subset of a metric space is closed and bounded. (A compact subset of a metric space is closed and bounded).
Every Borel subset of is Lebesgue measurable under Countable Choice. (Assuming countable choice, every Borel subset of is Lebesgue measurable).
A locally integrable function defines the regular functional , which depends only on its almost-everywhere class. (Regular distribution from a locally integrable function).
Under Countable Choice, the regular-functional map from modulo almost-everywhere equality takes values in . (Locally integrable functions embed in distributions).
Under Countable Choice, every singleton in is Lebesgue null. (Every at most countable subset of is Lebesgue null; in particular ).
The kernel's value at zero may be assigned arbitrarily; the resulting measurable function is interpreted through its locally integrable class. (Fundamental solution for the positive operator minus Laplacian).
Proof
By [F3] and [F4], is positive and finite in every stated dimension.
For and any , assign the finite value to the kernel at the pole as permitted by [F11]; then is Borel. Apply [F2] and use [F1] and from [F3] to obtain
For and any , again assign as permitted by [F11]. By [F1]–[F3] and step 1.1, If , the radial integral is ; if , splitting at gives . Both values are finite, including at , and the prefactor is finite by step 1.1.
Let be compact. By [F6], is closed and bounded, hence Borel and Lebesgue measurable by [F7]; boundedness and the Euclidean triangle inequality give a centered ball containing . By [F5] and steps 2.1–2.2, (and the empty has integral zero). Since [F1] and [F11] make measurable, this is by [F8]'s definition.
The regular functional in [F8] is therefore well-defined; [F9], under [A1], proves it is a distribution. The pole value changes only a singleton, which is null by [F10], and the radial integrals prove finiteness at the improper endpoint and every finite outer radius . The claim assumes ; it makes no global-integrability assertion at , and Countable Choice is used only through the named polar, surface-measure, ball-measure, Borel-measurability, singleton-null, and embedding interfaces, not full AC.
Source notes
Hunter §2.6.1, printed p.33, states local integrability of the normalized fundamental solution after giving its radial formula; the same passage notes that second derivatives, with size , are not locally integrable. Teschl §5.3 equations (5.25)–(5.26), printed pp.117–118, likewise records and the different behavior of its second derivatives. The present proof computes the kernel's radial integrals rather than using the source's stated conclusion. The preceding kernel definition also contains this local integrability calculation because it must make the kernel extension meaningful before the current dependency level; this lemma retains its separate promised result and supplies the explicit distribution interface.
The Laplace fundamental solution is harmonic off its pole
Statement
Assume Countable Choice and . The displayed is smooth on and satisfies there; for every pole , is harmonic on .
Facts & Assumptions
Given: , , and the kernel with the normalization fixed in Fundamental solution for the positive operator minus Laplacian.
Countable Choice, written , is the assumption retained from the kernel convention (The Axiom of Countable Choice ()). The differentiation argument below does not use choice.
For , away from zero; for , (Fundamental solution for the positive operator minus Laplacian).
A scalar function is when all iterated coordinate derivatives through order exist and are continuous ( maps and multi-index derivative notation in Euclidean space).
A Euclidean map is when each component is ( Euclidean maps and diffeomorphisms).
Finite sums and products and compositions of Euclidean maps are ( Euclidean maps are closed under componentwise algebra and composition).
The total chain rule gives (The chain rule for total derivatives: ).
A total derivative's matrix gives the coordinate partial derivatives (A total derivative computes every directional derivative, and its matrix is the Jacobian).
For , for every real (Continuity and derivatives of positive-base real powers).
Sums, products and scalar multiples obey the derivative rules (Sums, scalar multiples, products and quotients: , , , and when ).
The Laplacian is the sum of the pure second coordinate partials (The Laplacian of a function and of a vector field).
A function whose Laplacian vanishes is harmonic (The Laplacian of a function and of a vector field).
Induction on the natural numbers proves a property once its base case and successor step hold (The principle of mathematical induction).
Proof
For any real , induction on using [F12] and [F7] gives on , where and . Each derivative is continuous by the real-power continuity in [F7], so is smooth under [F2]. Also by [F8]; applying the same derivative calculation to shows every higher derivative of exists and is continuous. Thus both radial profiles used in [F1] are smooth for .
On , put . Its coordinate functions and their finite sums and products are smooth by direct coordinate differentiation and [F2]–[F4]. Since on , the radius is smooth there by [F7], step 1.1, and closure under composition [F4]. Composing with the power profile for or the logarithm profile for proves that is smooth on .
For a smooth radial profile and , the chain rule [F5] and partial-derivative formula [F6] give . Differentiating again by the chain and product rules [F5], [F7] and [F9] gives . Summing over and using and the Laplacian definition [F10] yields . The calculation is on , where all derivatives used exist by steps 1.1 and 2.1.
If , set . Then and by [F7] and [F9], so step 3.1 gives . If , set . Then by [F8]–[F9] and by applying [F7] to ; hence . These cases exhaust .
For fixed , translation has affine coordinate functions, so direct differentiation gives its identity derivative and zero higher derivatives. The chain rule [F5] therefore gives whenever . The translated function is smooth there by [F4], hence is harmonic by [F11]. The assumption in [A1] is carried from the kernel convention but is not used in these pointwise derivative calculations.
Newtonian potential of compactly supported data
Statement
Assume Countable Choice and . For a measurable compactly supported , define at each where the integral is absolutely finite. Whenever this integral is finite almost everywhere, also denotes its almost-everywhere class. The following items establish everywhere convergence for bounded compact data and almost-everywhere convergence for compact data; the definition itself makes no unconditional convergence claim.
Definition
Let For , the pointwise value is the displayed Lebesgue integral. If has full Lebesgue measure, the phrase “almost-everywhere class of ” means the equivalence class under equality outside a Lebesgue null set; one may assign arbitrary values on to obtain a representative on all of . The potential is not asserted to be defined at points outside unless a representative extension is explicitly being used.
Facts & Assumptions
Given: Assume , let , and let be a finite-valued, Lebesgue-measurable, compactly supported scalar function. Complex-valued data are handled by their real and imaginary parts.
Countable Choice, written , says every sequence of nonempty sets has a choice function. (The Axiom of Countable Choice ()).
The kernel is given away from zero by the power formula when and by the logarithmic formula when . (Fundamental solution for the positive operator minus Laplacian).
The kernel's value at zero may be assigned arbitrarily; its locally integrable class is unchanged by that point assignment. (Fundamental solution for the positive operator minus Laplacian).
Lebesgue measurability on is the completion of the Borel Lebesgue measure. ( is exactly the completion of the restriction of to the Borel sets).
Under Countable Choice, a function measurable for a completed measure is almost everywhere equal to a function measurable for the original -algebra. (A function measurable for a completion is almost everywhere equal to one measurable for the original sigma-algebra).
For a nonnegative product-measurable function on a product of -finite measure spaces, its section-integral functions are measurable. (Tonelli's theorem for nonnegative measurable functions on a sigma-finite product).
Lebesgue measure on is -finite and finite on bounded sets. (Lebesgue measure is sigma-finite, and every metrically bounded subset of has finite outer measure).
Under Countable Choice, every at most countable subset of , including a singleton, is Lebesgue null. (Every at most countable subset of is Lebesgue null; in particular ).
If and are Borel representatives, then is Borel on . (Borel representatives make the convolution integrand Borel measurable).
Proof
On the formulas in [F1] are continuous, so assigning the finite value at the closed singleton gives a Borel representative of the kernel.
By [F3] and [F4], using [A1], choose a Borel representative equal to almost everywhere; in the complex-valued case apply [F4] to the real and imaginary parts. Since is finite-valued, the Borel set where the resulting extended-real representative is infinite is contained in its null exceptional set; reset it to zero there, which keeps it Borel and equal to almost everywhere and gives a finite-valued representative. For each fixed , changing to changes the integrand only on the fixed null exceptional set. Changing the assigned kernel value at zero, arbitrary by [F2], changes the integrand only at , a null singleton by [F7]. Thus both choices preserve the Lebesgue integral, including whether its absolute value is finite.
The function is Borel on by [F8]. By [F6] both Lebesgue measure spaces are -finite, so [F5] shows that is measurable. Applying [F5] to the positive and negative parts of the real and imaginary parts of also makes their section integrals measurable.
The set is measurable. On , all four section integrals from step 2.1 are finite, and their signed combination is , so is measurable on its pointwise domain. If has full measure, extending by zero on gives a measurable representative on ; any other extension is equal to it almost everywhere and hence represents the same class. No finiteness claim is made at points outside .
If , then and . The pole assignment and the finite/infinite boundary of the defining integral are handled in steps 1.2–3.1. This definition assumes ; it uses Countable Choice only for the Borel representative and the stated measure interfaces, and no full Axiom of Choice.
Source notes
Hunter §2.7, equation (2.24), printed p.36, names the integral the Newtonian potential after proving its smooth compact-data convolution result; the displayed definition itself is not an almost-everywhere convergence theorem. Teschl §5.3, equation (5.21), printed p.117, gives the same integral formula while expressly treating the initial distributional computation as heuristic at that point. Schmidt §2.11, printed p.70, defines the integral for and proves everywhere finiteness from . The present statement separates that convergence question: it defines the integral only where absolutely finite and justifies its measurable almost-everywhere class when that domain has full measure. The next items prove the promised stronger convergence claims for bounded and compact data.
The negative Laplacian of the fundamental solution is the unit Dirac distribution
Statement
Assume Countable Choice and let . The locally integrable kernel of Fundamental solution for the positive operator minus Laplacian defines a regular distribution and satisfies . For every , the regular distribution associated with satisfies .
Facts & Assumptions
Given: Assume , let , and use the normalized kernel and its locally integrable representative.
Countable Choice, written , says every sequence of nonempty sets has a choice function; it is assumed by the kernel, surface-integration and Green-identity interfaces used here. (The Axiom of Countable Choice ()).
The kernel is for and for away from the pole; its value at zero may be assigned arbitrarily. (Fundamental solution for the positive operator minus Laplacian).
The normalized kernel is locally integrable for . (Local integrability of the Laplace fundamental kernel).
Under Countable Choice, the regular-functional map embeds modulo almost-everywhere equality into . (Locally integrable functions embed in distributions).
Distributional derivatives satisfy . (Distributional derivative).
The Dirac distribution is . (Dirac delta and its derivatives).
For real on a bounded domain, the second Green identity is , with outward normals. (Second Green identity).
For every , is compact and has graph charts near each point: has continuous coordinate partials with sum and power rules for one-variable derivatives, so the continuous-partials theorem gives the total derivative ; at one has , so is surjective and is a regular value of , and the regular-level graph theorem gives the local charts of . (For , every Euclidean closed ball and every Euclidean sphere of positive radius is compact, A regular level set is locally a graph of dimension , Regular and critical points, regular and critical values, and level sets, Submersions and immersions between Euclidean open sets, The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case, If all partial derivatives exist on a neighbourhood and are continuous at a point, then the map is totally differentiable there with Jacobian derivative, For a natural the function is differentiable everywhere with derivative ; for it is the constant , with derivative ; for a natural the function is differentiable at every with derivative ; consequently every polynomial function is differentiable at every real, with the derivative computed term by term, Sums, scalar multiples, products and quotients: , , , and when , The Euclidean inner product on ).
For , set if and . Differentiation gives if and ; at , , the outward radial derivative is . (Fundamental solution for the positive operator minus Laplacian, Directional derivatives and partial derivatives of a map , The natural logarithm has derivative 1/x and equals the integral from 1 to x of 1/t, Continuity and derivatives of positive-base real powers).
If measurable functions converge almost everywhere and are dominated by one integrable function, their integrals converge. (Dominated convergence).
A test function is smooth and has compact support. (Test function space d of an open set).
For a test supported in a compact , its fixed-support derivative seminorms are finite; in particular its first and second derivatives are bounded. (Fixed support test function frechet space).
The Euclidean norm obeys the triangle and reverse triangle inequalities and is continuous. (The finite and reverse triangle inequalities for a norm; and for every norm on satisfies and is Lipschitz, hence continuous, for ).
A compact subset of is bounded. (A compact subset of a metric space is closed and bounded).
A bounded domain is a nonempty bounded open set whose boundary is locally a graph with the domain on one side; connectedness is not required. (Bounded C1 domains and their outward normals).
The kernel is smooth and harmonic away from its pole. (The Laplace fundamental solution is harmonic off its pole).
Translation of a distribution commutes with every constant-coefficient differential operator, and a fundamental solution translating gives . (Fundamental solution of a constant-coefficient operator).
Distributions are complex-linear functionals, with bilinear pairing and no conjugation. (Distribution).
Under Countable Choice, a singleton in is Lebesgue null. (A box with a degenerate side is Lebesgue null, and so is every coordinate hyperplane in ).
The regular distribution associated with a locally integrable function is defined by . (Regular distribution from a locally integrable function).
for the Euclidean metric. (Open ball, closed ball and sphere in a metric space, The Euclidean inner product on ).
Lebesgue measure is invariant under translations, including measurability of translates. (Lebesgue outer measure, Lebesgue measurability and Lebesgue measure are unchanged by translation).
Integrals of integrable functions are invariant under measure-preserving maps. (Integral invariance under measure-preserving maps).
The translate convention is . (Translation of a function on ).
The Laplacian is the sum of the pure second coordinate derivatives. (The Laplacian of a function and of a vector field).
A measurable map preserves measure when for every measurable set . (Measure-preserving transformations and systems).
Under [A1], surface integration is defined for nonnegative Borel functions on a compact embedded hypersurface; monotonicity and homogeneity of the nonnegative integral show that a bounded continuous function is surface-integrable whenever the surface has finite area, with . (Surface integration on compact C1 hypersurfaces, Monotonicity and nonnegative homogeneity of the nonnegative integral).
For every the sphere has surface measure : the unit sphere has measure in the kernel convention, scaling by multiplies surface measure by , and ; in dimension two because , so . Combined with the radial derivative [F8], the normalized outward flux on every centered sphere is . (Fundamental solution for the positive operator minus Laplacian, Agreement with the existing polar sphere measure, The closed form for the volume of the unit -ball, The real Gamma functional equation ).
Proof
First take a real-valued test function . If its support is empty then and the desired pairing identity is immediate. Otherwise [F10] and [F13] let us choose with . For put . A point with radius strictly between and has a whole small ball in this set by [F12]; radial perturbations at either boundary sphere show by [F20]–[F21]. The point lies in it and it is bounded by . Near an outer-sphere point the inner-radius constraint is inactive and the annulus is the inside of that sphere; near an inner-sphere point the outer-radius constraint is inactive and the annulus is the outside of that sphere. The graph charts [F7], with a coordinate reflection when needed, therefore show that the annulus lies locally on one side of each graph. Its outward normals are on and on for , since the annulus lies inside the outer sphere and outside the inner sphere. Thus [F14] makes a bounded domain; connectedness is not required.
Let , where is the finite fixed-support seminorm from [F11]; then bounds . Since the outer radial derivative [F8] is constant on , the flux identity [F28] gives , so the sphere area is if and if . By [F27], the bounded continuous inner-boundary integrand is integrable. For , its absolute integral is at most ; for it is at most . Both bounds tend to zero as .
On , [F8] gives the outward radial derivative , and step 1.1 gives the annulus normal , so . The flux identity [F28] gives . By [F10] and [F27], the restriction of is surface-integrable. Therefore is the normalized spherical average of . Its difference from is at most , which tends to zero by continuity at the origin.
By [F15], is on a neighborhood of and there; [F10] gives the same regularity for . Apply [F6] with and . The outer-boundary terms vanish because the support lies strictly inside . On the inner sphere the normal is outward from the annulus. Hence .
Let , where is the finite fixed-support seminorm from [F11]; then bounds . For any sequence with , after discarding finitely many terms we have . The measurable functions then tend to zero off the null singleton and are dominated by , which is integrable by [F2]. Thus [F9] gives ; as this holds for every such sequence, the limit as is zero. The omitted integral of is bounded by , hence tends to zero and .
Taking in step 2.2 and using steps 1.2, 2.1 and 2.3 yields ; the integral over equals the one over because vanishes off the support. By [F2], [F3] and [F19], is the regular distribution; [F4] and [F25] identify the left side with , and [F5] identifies the right side with .
For a complex-valued test, apply step 3.1 separately to its real and imaginary parts and combine by complex linearity from [F17]. The pairing is bilinear, with no conjugation, as required by the distribution convention. Hence the identity holds for every test and .
For any fixed and test , put . It is integrable because it is bounded by a constant times on , which lies in a ball by [F12]–[F13]; use [F2] and [F11]. By [F22] and [F26], preserves Lebesgue measure; [F23] therefore gives , that is, . Thus the translate of is the regular distribution associated with , with the sign convention [F24]. Translate the identity in step 4.1: [F16] says constant-coefficient derivatives commute with translation and translates to , so . The proof handles and separately, excludes the distinct one-dimensional analogue by , includes the zero test and empty support, and is unchanged by the arbitrary value assigned to because a singleton is null [F18]. The choice cost is exactly [A1], inherited through the named measure and surface Green interfaces; no full Axiom of Choice is used. The statement is not an iff.
Source notes
Hunter §2.5 Theorem 2.23 and its proof give the second Green identity used on the punctured annulus; §2.6.1 gives the radial kernel, derivative and unit flux, and §2.6.2 states the distributional point-source interpretation. Hunter states that last interpretation but does not prove the test-function identity in this passage; steps 1.1–5.1 supply the excision argument, signs and limiting estimates. Teschl §5.3 equations (5.20)–(5.26) supplies the translated fundamental-solution and normalization conventions. Schmidt §2.2 uses the opposite sign, so only its convention comparison is retained; no exercise-class flux assertion is treated as proof.
Bounded compact data give an everywhere finite Newtonian potential
Statement
Assume Countable Choice and let . Suppose the class has a finite-valued measurable representative with compact support . Then the Newtonian-potential integral for is absolutely finite at every , and is locally bounded. If is any finite-valued measurable representative with almost everywhere, then its integral is also absolutely finite at every and equals pointwise.
Facts & Assumptions
Given: Assume , let , and let be a finite-valued measurable representative of an class, with compact support .
Countable Choice, written , says every sequence of nonempty sets has a choice function. (The Axiom of Countable Choice ()).
An function is measurable and has finite essential supremum. (The space of essentially bounded measurable functions).
If its essential supremum is finite, then almost everywhere. (The essential supremum is attained as the least essential bound).
The positive-minus-Laplacian kernel is given by its radial power or logarithmic formula away from zero, and its value at zero may be assigned arbitrarily. (Fundamental solution for the positive operator minus Laplacian).
The Newtonian potential is the integral wherever it is absolutely finite. (Newtonian potential of compactly supported data).
The normalized kernel is locally integrable on . (Local integrability of the Laplace fundamental kernel).
Local integrability means that the absolute integral on every Euclidean ball of positive radius is finite. (A locally integrable function on ).
Under , a diffeomorphism satisfies the change-of-variables formula for nonnegative Lebesgue measurable functions. (A C^1 diffeomorphism satisfies the change-of-variables formula for nonnegative Lebesgue measurable functions).
Every compact subset of a metric space is closed and bounded. (A compact subset of a metric space is closed and bounded).
For , is a norm on , so it satisfies the triangle inequality. (The -norms for rational , and , Each is a norm on , and the induced metrics are exactly , and of the published metric-spaces page).
The determinant of a triangular matrix is the product of its diagonal entries. (The determinant of a triangular matrix is the product of its diagonal entries).
The nonnegative integral is monotone. (Monotonicity and nonnegative homogeneity of the nonnegative integral).
A nonnegative measurable function has zero integral over a measurable null set. (A nonnegative integral over a null set vanishes).
The integral over a measurable set is the integral after multiplying by its indicator. (Integral over a measurable subset).
The class is a vector space and its integral is linear. (The Lebesgue integral is linear on ).
A continuous map pulls back Borel sets to Borel sets. (A continuous map has Borel preimages of Borel sets).
Products, sums, differences and absolute values of measurable real-valued functions are measurable. (Arithmetic and lattice operations preserve measurability whenever they are defined).
A real measurable function is integrable exactly when its absolute value has finite integral, and its integral is the difference of the integrals of its positive and negative parts. (Integrable real and complex functions, and their integrals).
A diffeomorphism is a bijection between open sets whose map and inverse are . ( Euclidean maps and diffeomorphisms).
Under , every Borel subset of is Lebesgue measurable. (Assuming countable choice, every Borel subset of is Lebesgue measurable).
Under , a diffeomorphism maps Lebesgue measurable sets to Lebesgue measurable sets. (A C^1 diffeomorphism maps Lebesgue measurable sets to Lebesgue measurable sets).
Almost-everywhere equality means equality off a measurable null set. (Measure-null sets and almost-everywhere statements relative to a measure).
The nonnegative integral is homogeneous for nonnegative scalars, including the zero scalar case. (Monotonicity and nonnegative homogeneity of the nonnegative integral).
For , the Euclidean norm and published metric satisfy . (Each is a norm on , and the induced metrics are exactly , and of the published metric-spaces page).
Proof
Put . By [F2] and [F22], there is a measurable null set outside which . Define . By [F16], is measurable, and everywhere; it vanishes outside . The set is closed and Borel by [F8]. If , then everywhere and the conclusion is immediate, so assume .
Fix a ball with . By [F8], choose and with . Put . For and , the norm triangle inequality [F9] applied to gives . By [F24] and the ball definition [F18], this yields . For a fixed , define . Directly, , , and by [F10]. Thus is a diffeomorphism by [F19]. Moreover, is Borel by [F15] and [F8].
Choose the finite pole value in [F3]. Since , [F21] shows that preimages under of Lebesgue measurable sets are Lebesgue measurable; hence is measurable. The set is Borel by step 1.2, so [F20] and [F16] make nonnegative Lebesgue measurable. Applying [F7] to and , with , gives because exactly when . By [F13], [F11] and step 1.2, where finiteness follows from [F5]–[F6]. This holds uniformly for .
Since vanishes off and , pointwise . The translated kernel and are measurable by step 2.1 and [F1, F16], so is measurable. Monotonicity [F11] and homogeneity [F23], together with step 2.1, show for every . By [F17], and with both terms finite and nonnegative, so . The bound is uniform on . Taking for each proves absolute finiteness everywhere and local boundedness.
Let be any finite-valued measurable representative with almost everywhere. By [F22] choose a measurable null set outside which , and put . For fixed , the integrands and agree off , so vanishes there. By [F13], using [F12]. Hence ; step 3.1 gives , and [F14] gives with . The measurability established in step 2.1 and [F16] justify the products and difference. Thus every such representative has the same pointwise potential value and absolute finiteness.
If , step 1.1 gives and step 4.1 gives zero potential for every representative. The case is excluded by the hypothesis . Countable Choice is used exactly through the kernel convention, local-integrability, Borel-measurability, measurable-set, and change-of-variables interfaces [F3–F7, F20–F21]; no full Axiom of Choice is used. There are no endpoint claims or biconditional cases.
Source notes
Schmidt §2.11, printed p.70, defines the Newton potential for and says the integral is finite because the fundamental solution lies in ; his kernel has the opposite sign to the present , which does not affect absolute convergence. The proof above derives the uniform bound and representative independence from the stated local-integrability and measure interfaces. Hunter §2.6.1, printed p.33, states local integrability of the normalized kernel, while §2.7 equation (2.24), printed p.36, names the integral the Newtonian potential after proving the smooth compact-data case. Hunter's passage does not itself prove the present everywhere-finite bounded-data claim; that part is established here.
Far-field asymptotics of compact-source Newtonian potentials
Statement
Assume the Axiom of Countable Choice and let . Fix , and let be Lebesgue measurable, integrable, and compactly supported, with , and zero outside the open Euclidean ball . Put and let be the sphere-area normalization in the definition of .
For every with , the Newtonian integral is absolutely finite. If , then
If , then
The constants are independent of the direction of . In particular, when these are the respective improved orders for and for .
Facts & Assumptions
Given: Assume , let , let , and let be Lebesgue measurable with and off .
The Axiom of Countable Choice, written , says every sequence of nonempty sets has a choice function. (The Axiom of Countable Choice ()).
The Euclidean norm satisfies the triangle inequality and hence the reverse triangle inequality. (Cauchy-Schwarz with its equality case, the triangle inequality for , the parallelogram law and polarisation, The Euclidean inner product on ).
Away from its pole the kernel is for and for ; the value at zero is assigned as in the kernel convention. (Fundamental solution for the positive operator minus Laplacian).
A real measurable function is integrable exactly when , and its integral is the difference of the finite integrals of its positive and negative parts. (Integrable real and complex functions, and their integrals).
The open ball is for . (Open ball, closed ball and sphere in a metric space).
The Borel sigma-algebra is generated by the open sets. (The Borel sigma-algebra of a topological space).
Every open ball of positive radius in a metric space is open. (Arbitrary unions and finite intersections of open sets are open, open balls are open and closed balls are closed).
Continuous maps have Borel preimages of Borel sets. (A continuous map has Borel preimages of Borel sets).
Under , every Borel subset of is Lebesgue measurable. (Assuming countable choice, every Borel subset of is Lebesgue measurable).
Sums, differences, products and absolute values of measurable real functions are measurable. (Arithmetic and lattice operations preserve measurability whenever they are defined).
The nonnegative integral is monotone and homogeneous for nonnegative scalars. (Monotonicity and nonnegative homogeneity of the nonnegative integral).
The integral is linear on . (The Lebesgue integral is linear on ).
For an integrable function, . (The modulus of an integral is bounded by the integral of the modulus).
If a real function is continuous on a closed interval and differentiable on its interior, the mean value theorem gives its difference as an interior derivative times the interval length. (The mean value theorem, as the case of Cauchy's: for continuous on with and differentiable on there is with ).
For , on , and is continuous there. (Continuity and derivatives of positive-base real powers).
Differentiability of a real function at every point of an open interval implies continuity there. (A function differentiable at is continuous at ).
The Newtonian potential is the pointwise integral wherever it is absolutely finite. (Newtonian potential of compactly supported data).
Proof
Fix with and , and set . By [F1], and . Every number between and is therefore greater than , so neither kernel evaluation below is at the pole.
For , write when and when . By [F2], [F13], and [F14], for and . These profiles are continuous on every closed interval in and differentiable in its interior; for the logarithm, continuity follows from [F15].
If , then . Otherwise apply [F12] between and ; the derivative bounds in step 1.2 and the lower bound in step 1.1 give , where for and . The same bound holds when .
For this fixed , is continuous on by step 1.1 and [F2], [F13]–[F15], and the Euclidean norm is continuous by [F1]. Extend this function by zero outside the open ball to obtain , and extend the same way to obtain . For any open , continuity makes each preimage inside relatively open and [F6] makes it Borel; since is open by [F17], this relative preimage is open in . The extension's preimage is that set, with adjoined when , so [F4], [F5], and [F17] show that and are Borel. Thus [F7] makes both functions Lebesgue measurable under [A1].
By [F8], and are measurable. Step 2.1 gives , while gives . Since , [F3] and [F9] make both products integrable. In particular the Newtonian integral is absolutely finite at , so [F16] defines .
Since vanishes outside , for every . Integrability from step 3.1 and [F10] give . By [F11], then the pointwise bound of step 3.1 and [F9], . Substituting the profiles [F2] yields the stated two estimates, with constants independent of the direction of .
If , the leading term in step 4.1 vanishes, giving the two improved orders; if , then and both bounds hold with equality. The assumptions and exclude dimensions zero and one and the endpoint . Countable Choice is used only through the kernel and potential conventions [F2], [F16] and the Borel-to-Lebesgue interface [F7]; no full Axiom of Choice is invoked.
Source notes
Hunter, §2.7 equation (2.24) and the following exterior-asymptotic passage, printed pp.36–37, defines the Newtonian potential and, for , rewrites it as the total-charge leading term times a kernel ratio, then uses dominated convergence to obtain the leading asymptotic. For Hunter states only that the potential generally grows logarithmically. That passage does not prove the explicit and remainders or the zero-mass improvements; steps 1.1–4.1 derive those quantitatively from the radial derivatives. Oh, §4.2 Theorem 4.4 and Corollary 4.7, printed pp.59–60, give the harmonic-derivative and growth-class context for applications of these estimates; they are not used to prove the far-field bounds here.
Newtonian potentials solve the distributional Poisson equation
Statement
Assume Countable Choice and . Let be compactly supported, meaning that it has a representative which vanishes outside a compact set. Then is finite almost everywhere, belongs to , and depends only on the equivalence class of . Its regular distribution satisfies The result includes data and compactly supported data for every . If almost everywhere outside a closed compact set , then is smooth and harmonic on .
Facts & Assumptions
Given: , , a compact set , and an equivalence class with a representative vanishing outside . Write for Lebesgue measure and for its restriction to .
Countable Choice, written , means every sequence of nonempty sets has a choice function. (The Axiom of Countable Choice ())
The kernel has the normalized power formula for and logarithmic formula for , with its pole value chosen finitely. Its class is locally integrable. (Fundamental solution for the positive operator minus Laplacian, Local integrability of the Laplace fundamental kernel)
Lebesgue measure is the completion of ; under , a completed-measurable function has a Borel representative equal to it almost everywhere. ( is exactly the completion of the restriction of to the Borel sets, The Borel sigma-algebra of a topological space, A function measurable for a completion is almost everywhere equal to one measurable for the original sigma-algebra)
Lebesgue measure is sigma-finite and finite on bounded sets; a compact set is closed and bounded. (Lebesgue measure is sigma-finite, and every metrically bounded subset of has finite outer measure, A compact subset of a metric space is closed and bounded, Open ball, closed ball and sphere in a metric space, as the set of functions , and , , are metrics on it)
Tonelli gives measurable section integrals for nonnegative product-measurable functions; Fubini exchanges the iterated integrals of an product function. (Tonelli's theorem for nonnegative measurable functions on a sigma-finite product, Fubini's theorem for L^1 functions on a sigma-finite product)
If preserves a measure, composition by preserves integrals; the Lebesgue translation is measure preserving. (Measure-preserving transformations and systems, Integral invariance under measure-preserving maps, Lebesgue outer measure, Lebesgue measurability and Lebesgue measure are unchanged by translation)
A test function is smooth with compact support; locally integrable functions define regular distributions, and Countable Choice gives the -to-distribution embedding. Distributional derivatives act on tests by the signed test derivative. (Test function space d of an open set, Regular distribution from a locally integrable function, Locally integrable functions embed in distributions, Distributional derivative)
The integral is monotone and obeys the integral triangle inequality; a compactly supported function is in by Hölder on its finite-measure support, including . (Monotonicity and nonnegative homogeneity of the nonnegative integral, The modulus of an integral is bounded by the integral of the modulus, Holder's inequality for integrals, including the endpoint cases, The function space for , The space of essentially bounded measurable functions, The space as the quotient by null functions)
Nonnegative integrals split over a measurable partition and vanish on a null set, singletons in are null, and the integral is linear on . (Measure-null sets and almost-everywhere statements relative to a measure, Integral over a measurable subset, Additivity of the nonnegative Lebesgue integral, A nonnegative integral over a null set vanishes, Integrable real and complex functions, and their integrals, Every at most countable subset of is Lebesgue null; in particular , The Lebesgue integral is linear on )
The kernel is smooth and harmonic away from its pole. Differentiation may be passed under an integral with a common integrable derivative bound, and dominated convergence gives continuity of the resulting derivative integrals. (The Laplace fundamental solution is harmonic off its pole, Differentiation under the integral sign, Dominated convergence)
In Euclidean space, compactness is equivalent to being closed and bounded, and a continuous real-valued function on a nonempty closed bounded set attains its extrema. The Euclidean norm is continuous. (For a nonempty subset of with , compactness, closedness and boundedness, pseudocompactness, and attainment of extrema by every continuous real-valued function are equivalent, The finite and reverse triangle inequalities for a norm; and for every norm on satisfies and is Lipschitz, hence continuous, for , The metric topology: a set is open when every one of its points has a ball around it inside the set; closed means open complement)
The point-source identity is for every . (The negative Laplacian of the fundamental solution is the unit Dirac distribution)
The Newton potential is the integral convolution at every point where the absolute integral is finite. (Newtonian potential of compactly supported data)
Bounded compactly supported data have an everywhere-finite potential, independent of their finite-valued representative. (Bounded compact data give an everywhere finite Newtonian potential)
For any measure and measurable sets , . In particular a countable union of measurable -null sets is null, since the right side is zero. (Finite and countable subadditivity of measures)
Arithmetic operations on measurable functions preserve measurability; continuous maps have Borel preimages. (Arithmetic and lattice operations preserve measurability whenever they are defined, A continuous map has Borel preimages of Borel sets)
Proof
Choose a finite-valued representative vanishing outside . By [F2] and [A1], apply the completed-measurable representative theorem separately to the real and imaginary parts of , reset any nonfinite exceptional values to zero, and combine them using [F16] to obtain a finite Borel representative equal to almost everywhere. Reset it to zero off and call it . Set ; its displayed radial formula is continuous away from the singleton pole, so it is Borel. By [F3], is Borel, hence product-measurable for . The open balls are Borel and exhaust ; they have finite -measure by [F4], so is sigma-finite.
For compactly supported data with , Hölder [F8] on the finite-measure set gives where . The case is immediate, and the endpoint uses the endpoint clause of [F8]; moreover the bounded-data result [F14] gives everywhere absolute convergence there. A continuous compactly supported is bounded on its compact support by [F11], whose measure is finite by [F4], so it too belongs to . This verifies the stated and full inclusions.
The compact set is closed and bounded, hence Borel, and has finite -measure by [F4]. If or , then vanishes off a null set, so [F9] gives with absolute convergence for every ; the class is zero. Assume henceforth and choose with .
If is any other finite-valued measurable representative of the same class, then for each fixed the functions and agree outside a null set; their absolute values are measurable by [F16]. For nonnegative measurable functions agreeing off a null set, split each integral over that set and its complement; [F9] shows the two extended absolute integrals agree. Thus absolute finiteness is equivalent for the two representatives. When finite, their difference is integrable with integral zero by [F9], so linearity gives equal potential values. The pole assignment also changes the integrand only on the null singleton . Therefore depends only on the class, with equality at every point where the integrals are defined.
Fix an integer and . For , the Euclidean triangle inequality gives . Translation by preserves Lebesgue integrals by [F6], so where finiteness follows from [F1] and the last inequality from [F8].
Let . If , then and the claim holds. Otherwise, since is closed, choose such that . For and , the triangle inequality and boundedness of give for some finite . Choose . Since , and the upper bound gives , so and is nonempty. The annulus is closed because the norm is continuous [F11] and is closed; it is bounded by , hence compact. Every continuous derivative is therefore bounded on [F11]. Thus for each multi-index there is with The majorant is integrable since almost everywhere and by [F2, F9]. Applying differentiation under the integral sign coordinate by coordinate on a small box about , and dominated convergence for continuity of each derivative, proves near . Since for by [F10], differentiating twice yields there. Therefore is smooth and harmonic on .
Apply Tonelli [F5] to the nonnegative Borel function . Using step 3.1 gives where the last equality uses [F2, F9] because almost everywhere and completes to . Thus the complex function is in for every .
Fubini [F5] on each such product shows that for almost every the section is absolutely integrable, and its integral is an function with integral of its absolute value at most the finite bound in step 4.1, by the integral triangle inequality [F8]. These section integrals agree with wherever absolutely finite by [F13]. The balls exhaust , so, writing for the measurable exceptional set in , [F15] gives . Thus is finite almost everywhere on all of ; assign it value zero on this null set. Each compact set lies in some by [F4], proving .
Let and choose with . The function is Borel by [F3]. The pullback of the Borel function by the first-coordinate projection is Borel: the preimage of a Borel set is , which belongs to the product sigma-algebra and hence to the Euclidean Borel sigma-algebra by [F3]. The test function is smooth, so is continuous; [F16] gives its Borel measurability. Thus is Borel by [F16]. Since is bounded and compactly supported, step 4.1 shows is integrable on the product. Fubini therefore gives The inner integral is by the translated point-source identity [F12]. Hence the right side is .
By [F7], step 6.1 is exactly for every test . The locally integrable embedding makes both sides distributions, so they are equal in .
The logarithmic kernel at and power kernel at are both covered by [F1], [F2] and [F12]; the distinct case is excluded by the statement. The zero source and empty or null support were handled in step 2.1; the Hölder endpoint cases are explicit in step 1.2. Countable Choice is used to obtain a Borel representative, and is inherited by the published kernel identity and distribution embedding [F2, F7, F12]. No full Axiom of Choice or later result is used; the statement is not an iff.
Source notes
Schmidt §2.11, Remark (3), printed pp.70–71, proves the very weak pairing identity for compactly supported data by Fubini and the point-source calculation. Schmidt uses the opposite kernel sign, so ; the formula becomes in the convention here. The argument above extends the source class to compactly supported by the local uniform kernel bound, Tonelli and Fubini.
Hunter §2.7, Theorem 2.25 and proof, printed pp.34–36 (PDF pp.39–41), proves the pointwise equation for smooth compactly supported data. It does not state the present theorem; its smooth-data proof is contextual only.
Teschl §5.3, equations (5.19)–(5.21) and Lemma 5.17, archived author manuscript printed pp.117–118, gives the convolution formula and proves harmonicity of integrals of harmonic kernels by Fubini and the mean-value property. The present off-support smoothness is derived from the local uniform derivative bound instead.
Hölder data give a classical Newtonian solution
Statement
Assume Countable Choice, let , and let satisfy . Let be continuous and compactly supported, with finite global Hölder seminorm This is the convention for here; the positive-base real power is as in Real powers for positive bases, with the zero-base positive-exponent convention. Put . Then the Newtonian integral from Newtonian potential of compactly supported data is absolutely finite for every , belongs to , and its second derivatives are locally -Hölder continuous. In particular , where this notation means that is and each second partial derivative has finite -Hölder seminorm on every compact set. Moreover, For every and every with , the absolutely convergent cancellation formula is For each compact , a constant depending only on , and bounds for and satisfies
Facts & Assumptions
Given: , , , and the continuous, compactly supported datum with finite global seminorm specified above.
The only choice assumption is Countable Choice, . It enters through the choice-qualified hypotheses of the kernel, polar and surface integration, divergence, compact-data potential, and distribution interfaces used below; no full Axiom of Choice is assumed or used. (The Axiom of Countable Choice ())
For the kernel profile is , and for it is ; the kernel is locally integrable and its value at the pole is immaterial. (Fundamental solution for the positive operator minus Laplacian)
For every real , on ; there; and as for . (Real powers for positive bases, with the zero-base positive-exponent convention, Continuity and derivatives of positive-base real powers, The natural logarithm has derivative 1/x and equals the integral from 1 to x of 1/t, The logarithm grows more slowly than every positive real power)
The chart sphere measure agrees with polar measure, is invariant under orthogonal maps, and scales by on radius- spheres. Polar integration uses . In dimension two, and . (Agreement with the existing polar sphere measure, Polar coordinates decompose Lebesgue measure into r^{n-1} dr d sigma, The closed form for the volume of the unit -ball, The real Gamma functional equation )
A smooth function equal to one on and supported in exists; its rescalings give smooth cutoffs vanishing on and equal to one outside , with first and second derivative bounds and . (A smooth bump between concentric Euclidean balls)
Differentiation under an integral is valid when the parameter derivative has a common integrable majorant. A uniform limit of one-variable derivatives, together with convergence at one point, identifies the derivative of the function limit; continuous partial derivatives give a continuously differentiable map. (Differentiation under the integral sign, If continuously differentiable functions converge at one point and their derivatives converge uniformly on a closed interval, then the functions converge uniformly to a differentiable function whose derivative is the derivative limit, If all partial derivatives exist on a neighbourhood and are continuous at a point, then the map is totally differentiable there with Jacobian derivative)
The divergence theorem applies to bounded Euclidean domains under . A sphere is a compact embedded hypersurface and its surface integral is the chart surface integral: for , whose continuous coordinate partials give the total derivative with on the sphere, so is a regular value and the regular-level graph theorem supplies the local charts. (Divergence on a bounded C1 Euclidean domain, Bounded C1 domains and their outward normals, Euclidean spheres and closed balls as subspaces of , A regular level set is locally a graph of dimension , Regular and critical points, regular and critical values, and level sets, Submersions and immersions between Euclidean open sets, The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case, If all partial derivatives exist on a neighbourhood and are continuous at a point, then the map is totally differentiable there with Jacobian derivative, For a natural the function is differentiable everywhere with derivative ; for it is the constant , with derivative ; for a natural the function is differentiable at every with derivative ; consequently every polynomial function is differentiable at every real, with the derivative computed term by term, Sums, scalar multiples, products and quotients: , , , and when , The Euclidean inner product on , Surface integration on compact C1 hypersurfaces)
A compactly supported continuous function is bounded. The nonnegative integral is monotone, and the absolute value of an integrable signed integral is bounded by the integral of the absolute value. (For a nonempty subset of with , compactness, closedness and boundedness, pseudocompactness, and attainment of extrema by every continuous real-valued function are equivalent, Monotonicity and nonnegative homogeneity of the nonnegative integral, The modulus of an integral is bounded by the integral of the modulus)
For the defining integral , under the Newtonian potential of compactly supported bounded data is everywhere absolutely finite and locally bounded. For compactly supported data its regular distribution solves . (Newtonian potential of compactly supported data, Bounded compact data give an everywhere finite Newtonian potential, Newtonian potentials solve the distributional Poisson equation)
For functions, classical derivatives agree with distributional derivatives under . The map from classes to distributions is injective. A nonempty Euclidean ball has positive Lebesgue measure. (Distributional differentiation is continuous and commutes, Locally integrable functions embed in distributions, Euclidean balls have positive finite Lebesgue measure)
The Laplacian of a function is the sum of its pure second partial derivatives; continuous mixed partials commute. (The Laplacian of a function and of a vector field, Directional derivatives and partial derivatives of a map , Continuous mixed partials of order are invariant under permutations)
The chain and product rules apply to the smooth radial kernel and its cutoff products. (The chain rule for total derivatives: , Sums, scalar multiples, products and quotients: , , , and when )
For a differentiable scalar function on a real interval, the mean value theorem bounds its increment by its derivative bound times the interval length. (The mean value theorem, as the case of Cauchy's: for continuous on with and differentiable on there is with )
Proof
Put . Differentiating the two profiles in [F1] using [F2] and [F11] gives, for every and all , A further differentiation and the displayed formulas give , , and . The trace of the Hessian formula is zero away from . Thus the same estimates hold in the logarithmic and power cases; in [F3] gives the needed .
By continuity and compact support, [F7] gives . The bounded-data potential lemma [F8] makes the integral for absolutely finite at every point and locally bounded, including when or its support is empty.
Choose the smooth bump from [F4] and set and , assigning . Then is smooth: it is zero near and equals the smooth kernel off . Its derivatives of orders one and two in the transition annulus are bounded by the product rule and [F4]. Define Differentiation under the integral sign [F5] applies on every compact -set: the support of is compact and, for fixed , the kernel derivatives are bounded on the corresponding difference set.
Orthogonal invariance in [F3] gives for by coordinate reflection. Coordinate permutations make all diagonal integrals equal, and makes each equal . Therefore, on the sphere centered at , where is its outward normal. This follows by substituting and the first formula of step 1.1. The same calculation in the variable gives .
The difference is supported in the kernel variable , so [F7] and polar integration [F3] give a uniform-in- bound , which tends to zero like for and for . Also is absolutely finite, since is locally integrable by step 1.1 and is bounded with compact support. From the product rule, the difference is bounded uniformly in by which tends to zero (the second term is when ). Thus and uniformly on compact sets. The limit is continuous as a locally uniform limit of continuous functions.
Fix a sequence , for example . Restrict to any closed coordinate segment inside an open box. For each real and imaginary component, [F5] and step 2.2 give convergence of the smooth restrictions at one point and uniform convergence of their derivatives in the chosen coordinate. Hence the uniform derivative limit theorem [F5], applied separately to both components, shows that the corresponding partial derivative of exists and equals . The continuous-partials theorem [F5], applied to the real two-component map , makes with .
Fix a compact box and choose so that for every , with a positive margin. For , differentiating and using off its support gives The second integral equals : change variables , apply the divergence theorem [F6] to the smooth field on , and use the last sphere integral in step 2.1, since near that boundary.
Set The singular integral is absolutely convergent: its absolute integrand is at most , whose polar radial integral at zero is a constant times . In the omitted inner ball , , so the error from replacing it by after multiplication by is at most On the transition annulus , the product rule, [F4], and the kernel estimates of step 1.1 bound the same error by Outside the kernels agree. The total error tends to zero by [F2], uniformly for . Therefore uniformly on . Each is continuous as this uniform limit.
Use the same sequence from step 3.1 and apply [F5]'s uniform derivative limit theorem separately to the real and imaginary components on coordinate segments in , now for and their -derivatives. Steps 2.2 and 4.1 supply the function and derivative limits, so . Apply the continuous-partials theorem [F5] to the real two-component map as in step 3.1 to obtain on the box and there; use mixed partial symmetry on the same two real components as in Continuous mixed partials of order are invariant under permutations. Since every point lies in such a box, this holds throughout . The radius was any sufficiently large containing radius. Comparing the expression for two such radii shows independence: their difference is the integral of over an annulus against the constant , and the divergence theorem turns it into the difference of the two outer sphere fluxes, both in the orientation. Thus the formula in the Statement holds for every whose centered ball contains the support.
We prove the local Hölder estimate. Take distinct in a compact box ; the case is trivial. Put and . Choose one radius so large that for every pair in , , the ball has positive distance from both poles to its boundary, and . For any bounded domain with , choose so small that and near . Since vanishes outside and is defined by convolution, where the last equality is the divergence theorem in and uses . By the inner-ball and transition-annulus estimates of step 4.1, the first integral tends to ; the boundary integral equals for these small . The left side tends to by steps 3.2 and 4.1. Thus We use this formula with the fixed domain for both and . Splitting the integral difference into and its complement, the inner part is at most On write the integrand difference as The mean-value theorem [F12] and bound the first term by . Its integral is bounded by , because . For the second term, apply the divergence theorem to the annulus ; the two boundary fluxes of are bounded by using and . Its contribution is at most . Finally, reflection through and the oddness of show , while the same outer-sphere bound gives . Hence . Together these bounds give The estimates use the real exponent strictly below in the convergent outer radial integral.
On a compact , choose so and lie in a fixed bounded ball. Then for all , the integrals for and are bounded by times the integrals of and over a fixed ball, which are finite by polar integration [F3]. The formula of step 4.1 bounds by Together with step 5.2 this is the displayed local estimate.
By compact support and continuity, is integrable, so [F8] applies and gives . Since , classical/distributional compatibility [F9] and the Laplacian convention [F10] give . Injectivity in [F9] makes this continuous difference zero almost everywhere. If it were nonzero at a point, continuity would make its modulus bounded below by a positive number on some nonempty ball, which has positive measure by [F9], a contradiction. Hence pointwise.
If or , the integral and every term in the cancellation formula vanish. The proof covers by the logarithmic profile and by the power profile. Dimensions and are outside the theorem's explicit range; the estimates and Green normalization used here are stated for . The strict endpoint restrictions are used in local integrability of and convergence of . All radii and boxes are chosen individually from bounded sets; the only stated choice axiom is in [A1]. The result is one-way and asserts no converse. [A1, F1, F2, F3, step 1.1, step 1.2, step 4.1, step 5.2, step 6.2, cases]
Source notes
Hunter, Notes on Partial Differential Equations, §2.7 Theorem 2.26 and Corollary 2.27, printed pp.37–39, prove the cancellation identity for smooth compactly supported data; Theorem 2.28, printed pp.40–43, proves the Hessian Hölder estimate for smooth data and says a density extension is available. I read the full proofs. The density sentence does not itself prove the present pointwise regularity claim for arbitrary Hölder data, so the cutoff and uniform-limit steps above are supplied here.
Teschl, Partial Differential Equations: From Classical to Modern, §5.3 Theorem 5.19, printed pp.119–121, gives the same regularity strategy. Its proof says the two-dimensional adaptation is left as an exercise; I derived the logarithmic cutoff bounds explicitly in steps 2.2 and 3.2.
Schmidt, Partial Differential Equations I (2026), §2.11 regularity theorem (II), printed pp.74–77, states the conclusion and proves the cutoff, cancellation, and split-region seminorm estimates. I read the complete argument. Schmidt uses and in the present convention; this reverses both the correction sign and equation, giving and here. The displayed proof derives those signs from the local kernel and the centered-sphere boundary orientation, not by copying the opposite-sign formula.
Dirichlet Green function for minus Laplacian
Statement
Assume the Axiom of Countable Choice, written , and let . Let be a bounded domain, and use the kernel fixed by Fundamental solution for the positive operator minus Laplacian. A Dirichlet Green function for on is a function such that for each pole there is a harmonic function with For fixed , is harmonic away from , extends continuously to , and has zero boundary trace. Its locally integrable representative defines and satisfies The definition is conditional: it applies only when such a corrector exists for every pole ; it asserts no existence for every bounded domain. No boundary smoothness is required for this definition.
Facts & Assumptions
Given: , , a bounded domain , and a family of correctors with the stated harmonicity, continuity, and boundary values.
says every countable family of nonempty sets has a choice function (The Axiom of Countable Choice ()).
The normalized kernel is locally integrable and its value at its pole may be assigned arbitrarily (Fundamental solution for the positive operator minus Laplacian).
The kernel is smooth and harmonic away from its pole (The Laplace fundamental solution is harmonic off its pole).
For every , in under (The negative Laplacian of the fundamental solution is the unit Dirac distribution).
If , then its regular distribution satisfies for , under (Distributional differentiation is continuous and commutes).
A locally integrable function defines its regular functional by integration (Regular distribution from a locally integrable function).
Under Countable Choice, locally integrable functions embed as regular distributions in (Locally integrable functions embed in distributions).
The distributional Poisson equation is an equality of distributions on the open set (Distributional harmonicity and Poisson's equation on an open subset of Rn).
Proof
Fix . On , both and are harmonic by [F2] and the given corrector property, so their difference is harmonic there. Since is locally integrable by [F1] and has its regular distribution by [F4], their difference is locally integrable on ; choose any value at , which does not affect its almost-everywhere class or regular distribution.
Because is an interior point, some ball lies in , and hence every boundary point is distinct from . The function is continuous on by its smoothness away from the pole, and is continuous there by hypothesis. Thus their difference gives a continuous extension of to . On the two terms agree, so this extension has boundary value zero. No boundary chart or normal is involved.
Regard the locally integrable functions in step 1.1 as regular distributions using [F5]–[F6]. By [F4] and , on . The restriction of [F3] from to test functions in gives on . Linearity of the regular functional and of distributional differentiation, together with almost everywhere, therefore gives in the sense of [F7].
The argument includes both kernel cases already fixed by [F1], namely the logarithmic kernel when and the power kernel when ; and dimension zero are excluded by the stated hypothesis. It proves properties of a Green function only after the correctors are given and does not prove that correctors exist. Countable Choice is used through [F3], [F4], and [F6], exactly the named distributional embedding and classical-derivative interfaces; no full Axiom of Choice is used. There is no iff assertion. [A1, F1, F3, F4, F6, given, cases]
Source notes
Teschl §5.4, equations (5.33)–(5.34), defines the harmonic correction with boundary values equal to the fundamental solution and forms the Green function by subtraction; the surrounding text explicitly defines existence only when the harmonic Dirichlet problem is solvable for every pole. Schmidt §2.8, printed pp.44–45, defines the Green function through harmonic cancellation and zero boundary limits, then notes that the singularity has the same type as the fundamental solution. Schmidt uses and a nonpositive Green function; the convention here is obtained by and . The distributional point-source assertion here is proved from the already established kernel identity rather than inferred from a citation or from the word “Green function.”
A bounded-domain Dirichlet Green function is unique and positive
Statement
Assume Countable Choice and . Let be bounded, nonempty, open and connected, and suppose a Dirichlet Green function as in Dirichlet Green function for minus Laplacian exists. Then it is unique and for every distinct . No boundary differentiability is needed, and existence is not asserted.
Facts & Assumptions
Given: The objects and hypotheses in the statement, the kernel fixed by Fundamental solution for the positive operator minus Laplacian, and correctors supplied by the Green-function definition.
Countable Choice, written , is an assumption of the Green and kernel conventions used here (The Axiom of Countable Choice ()).
For each pole, the Green definition supplies a corrector with boundary values and away from the pole (Dirichlet Green function for minus Laplacian).
The kernel is for and for , with (Fundamental solution for the positive operator minus Laplacian).
A real function on a bounded open set that is continuous on its closure and has has its closure maximum on the boundary (Weak maximum principle for the laplacian).
If instead , its closure minimum is on the boundary (Weak minimum principle for the laplacian).
For every there is an integer with (For every in a complete ordered field there is a natural with ).
Positive reciprocals reverse strict order: implies (Inverses of positives are positive, and reciprocation reverses order).
The natural logarithm is strictly increasing and onto , and for (Order, continuity, range, and the product, quotient, and reciprocal laws for the natural logarithm).
Positive real powers obey the quotient and exponent laws (The exponent, product, quotient, and iterated-power laws for positive real bases and real exponents).
If , deleting one point from a nonempty connected open subset of leaves a nonempty, open, connected, path-connected set (Puncturing a connected open subset of preserves path-connectedness for ).
A harmonic function on a connected domain that attains a global maximum or minimum in the domain is constant (Strong maximum principle for harmonic functions).
For fixed , is harmonic away from , extends continuously to , and has zero boundary trace (Dirichlet Green function for minus Laplacian).
Mathematical induction applies to properties of natural numbers (The principle of mathematical induction).
The order on makes it a totally ordered field (The reals form a totally ordered field).
Positive elements of an ordered field are closed under multiplication; in particular, a product of nonnegative reals is nonnegative (Ordered field, The reals form a totally ordered field).
The Laplacian of a function is the sum of its pure second partial derivatives (The Laplacian of a function and of a vector field).
A function is harmonic exactly when its Laplacian is zero (The Laplacian of a function and of a vector field).
Total derivatives obey sum and scalar rules, and their coordinate partials are obtained by applying them to standard basis vectors; applying these facts twice gives linearity of each second partial of functions (Sums and scalar multiples of totally differentiable maps are totally differentiable with the expected derivatives, A total derivative computes every directional derivative, and its matrix is the Jacobian).
Proof
Suppose and are two Green functions with correctors and . For fixed , is , and [F15]–[F16] give , so it is harmonic by [F17]; it is continuous on and zero on . The weak maximum principle [F3] gives , and the weak minimum principle [F4] gives . Hence and for all . This holds for every pole, proving uniqueness.
Fix . Continuity of at gives and such that whenever ; shrink if needed so .
Suppose , put and . For , induction on for the property starts with equality at ; if it holds at , then and by [F13, F14], so it holds at . Thus [F12] gives . By [F8], . Given , [F5] with gives with ; [F6] then gives . Thus implies . This proves as for every .
Suppose and put . For any , surjectivity in [F7] gives with . Apply [F5] to and then [F6] to obtain an integer . Whenever , [F6] gives , so [F7] yields . Hence as in dimension two as well.
By steps 1.3 and 1.4, choose so that whenever . Then on that punctured closed ball. This is the local strict positivity near the pole.
Let with and choose . The set is bounded, open, and contains . A point outside has a neighborhood either contained in or disjoint from , so . By [F11], is harmonic on and continuous on . Its boundary values are zero on and positive on by step 2.1. The weak minimum principle [F4] therefore gives . Points with already have strict positivity by step 2.1, so throughout .
By [F9], is a connected open set. The Green function is harmonic there by [F11], so its negative is harmonic by [F15]–[F17]. Step 3.1 gives there. Assume it vanishes at some [assume-contra]. Then attains its global maximum at that interior point. By [F10] it is constant on the punctured domain, contradicting the strict positivity near from step 2.1. Therefore whenever [contradiction, discharge-contradiction].
The argument treats and all separately, excludes and dimension zero by the hypothesis, and makes no boundary smoothness or existence claim. Countable Choice is retained exactly because the preceding Green and kernel conventions assume it; the maximum principles and puncture argument add no choice principle, and the pointwise thresholds use only the Archimedean property. There is no iff assertion.
Source notes
Teschl §5.4 Theorem 5.21, printed p.124, establishes uniqueness for the classical Dirichlet problem. Lemma 5.23, printed pp.126–127, assumes a bounded connected domain, proves Green positivity by using the blow-up at the pole and a strong minimum principle, and notes that connectedness is required for positivity. The proof here derives the power/log blow-up and punctured-domain connectedness explicitly; it uses weak minimum on the bounded punctured domains and the strong maximum principle on .
Schmidt §2.8 remarks (2)–(3), printed pp.44–45, derives uniqueness from uniqueness of the harmonic corrector and the weak maximum principle, then derives nonpositivity under . Here , so that sign comparison supports nonnegativity only; strict positivity is proved above.
Symmetry of the Dirichlet Green function
Statement
Assume Countable Choice, written , and let . Let be a bounded domain carrying a Dirichlet Green function for . Suppose its designated harmonic correctors satisfy for every . Then
Facts & Assumptions
Given: Assume , , a bounded domain , the Green function defined by Dirichlet Green function for minus Laplacian, and the stated regularity of every corrector.
Countable Choice is the only choice assumption. The Green-kernel, surface-measure, and second Green identity conventions below assume it; all radius choices in the proof are pointwise. No full Axiom of Choice is used. (The Axiom of Countable Choice ())
For each pole , is harmonic away from , extends continuously to the boundary away from the pole, and has zero boundary trace. (Dirichlet Green function for minus Laplacian)
A harmonic function is with . (The Laplacian of a function and of a vector field)
The normalized kernel is smooth away from its pole. (The Laplace fundamental solution is harmonic off its pole)
For , ; for , , where . (Fundamental solution for the positive operator minus Laplacian)
On a bounded domain and real -closure functions, the second Green identity is with every normal outward from . (Second Green identity)
The sphere chart measure scales by and . (Agreement with the existing polar sphere measure)
A bounded domain is a nonempty bounded open set with locally graph boundary; connectedness is not required, and uses continuous extensions of derivatives through order two. (Bounded C1 domains and their outward normals)
The sphere is the level set of ; the coordinate partials are continuous, so the continuous-partials theorem gives , and at one has ; thus is a regular value, and positive-radius spheres are regular level sets and hence locally graphs by the regular-level graph theorem. (Euclidean spheres and closed balls as subspaces of , A regular level set is locally a graph of dimension , Regular and critical points, regular and critical values, and level sets, Submersions and immersions between Euclidean open sets, The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case, If all partial derivatives exist on a neighbourhood and are continuous at a point, then the map is totally differentiable there with Jacobian derivative, For a natural the function is differentiable everywhere with derivative ; for it is the constant , with derivative ; for a natural the function is differentiable at every with derivative ; consequently every polynomial function is differentiable at every real, with the derivative computed term by term, Sums, scalar multiples, products and quotients: , , , and when , The Euclidean inner product on )
Every positive-radius Euclidean sphere is compact. (For , every Euclidean closed ball and every Euclidean sphere of positive radius is compact)
The classical normal derivative is the gradient dotted with the outward unit normal. (Classical normal derivative)
Directional derivatives are derivatives of the line map . (Directional derivatives and partial derivatives of a map )
, using from the Gamma functional equation; hence . (The closed form for the volume of the unit -ball, The real Gamma functional equation )
For an integrable surface function, the modulus of its integral is at most the integral of its modulus; the nonnegative integral is monotone and homogeneous. (The modulus of an integral is bounded by the integral of the modulus, Monotonicity and nonnegative homogeneity of the nonnegative integral)
On a compact embedded hypersurface the chart formula defines surface integration and area. (Surface integration on compact C1 hypersurfaces)
Proof
Fix distinct . Openness gives radii with . For put . The balls are disjoint and lie strictly inside . The point lies in , so it is nonempty; it is bounded and open. Its boundary is the disjoint union of and the two spheres. The outer boundary remains locally a graph; each sphere is a regular level set and the positive separations prevent any boundary intersections. Thus is a bounded domain under [F5] even if it is disconnected. On either spherical boundary, with for its centre , the outward normal of is .
On set and . By [F1] and [F14], both are harmonic there. Their correctors and the smooth-kernel fact [F15] show . Apply [F3]. The volume integral is zero; on both functions vanish, so the outer boundary integral is zero. Therefore , where and each normal is outward from .
By [F2] and [F9], for the radial derivative is when . For the same formula follows from [F9] and [F11]. The direction of the hole normal is by step 1.1, and [F7]–[F8] identify the normal derivative with differentiation in that direction. Thus on a hole sphere, . By [F4] and [F13], its sphere area is ; the singular normal derivative consequently has integral . The compact-sphere hypothesis for [F13] follows from [F16]. The corrector and its first derivatives are bounded near each pole by their continuity.
On , [F1] and [F14] make and continuous across , so uniformly there and is bounded. The singular profile and local boundedness of give for , and for . By [F12] and the sphere-area formula in [F4], , which is for and for . Also [F7]–[F8] and step 2.2 give . Since and are bounded near , [F12] and [F4] bound the corrector contribution by . The remaining term is the surface average of : its difference from is at most , which tends to zero by continuity and the area formula [F4]. Finally, for , [F10] with gives . Therefore .
At , the same estimates as in step 3.1 with the pole roles reversed give and . Hence .
Taking limits in the identity from step 2.1 using the two limits in steps 3.1 and 4.1 gives . The estimates cover the logarithmic case and the power cases ; the theorem excludes and the coincident poles because its Green function is defined only for distinct poles. Countable Choice is inherited through [A1] and the cited kernel and surface-measure conventions; radius choices are pointwise, and no full Axiom of Choice is used. There is no iff claim.
Source notes
Teschl §5.4, Lemma 5.23, printed pp.126–127, applies the second Green identity on a twice-punctured domain and takes the two sphere limits separately. Its kernel indexing is transposed relative to this pair, so the proof here uses and directly from the local Green definition and does not assume symmetry. Schmidt §2.8, symmetry remark (4), printed p.45, gives the two-pole calculation under regularity off the poles. Schmidt uses and a nonpositive Green function; the convention here is and . The signs above are independently checked from the local positive-minus-Laplacian kernel and the outward normals of the punctured domain.
Poisson kernel from a Dirichlet Green function
Definition
Assume the Axiom of Countable Choice, written , and let . Let be a bounded domain carrying a Dirichlet Green function for . For every pole , assume its designated corrector satisfies , as required by the Green-symmetry hypothesis.
For and , define the boundary-slot normal derivative by and define the Poisson kernel by Here is the positive-minus-Laplacian fundamental solution fixed in Dirichlet Green function for minus Laplacian, and is the published outward unit normal. The derivative in the boundary variable is the trace from interior points, not a derivative of a function initially defined on .
Facts & Assumptions
Given: , , the bounded domain , its Dirichlet Green function, and the correctors for every .
The Axiom of Countable Choice is written (The Axiom of Countable Choice ()). The Green definition, bounded-/surface convention, and Green-symmetry theorem carry this same assumption (Dirichlet Green function for minus Laplacian, Bounded C1 domains and their outward normals, Symmetry of the Dirichlet Green function). Here its substantive role is exactly the symmetry step 3.1, which identifies the slots; the collar geometry and normal-trace calculation require no further choice.
For each pole , for interior (Dirichlet Green function for minus Laplacian).
The Green-symmetry hypothesis requires for every pole (Symmetry of the Dirichlet Green function).
The normalized kernel is smooth away from its pole (The Laplace fundamental solution is harmonic off its pole).
Under the stated hypotheses, for all distinct interior points (Symmetry of the Dirichlet Green function).
A bounded domain is a bounded open set with locally graph boundary and its published outward unit normal (Bounded C1 domains and their outward normals).
A positive-radius Euclidean sphere is the level set of : the coordinate partials are continuous, so the total derivative is , and at every ; hence is a regular value of . (Euclidean spheres and closed balls as subspaces of , Regular and critical points, regular and critical values, and level sets, Submersions and immersions between Euclidean open sets, The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case, If all partial derivatives exist on a neighbourhood and are continuous at a point, then the map is totally differentiable there with Jacobian derivative, For a natural the function is differentiable everywhere with derivative ; for it is the constant , with derivative ; for a natural the function is differentiable at every with derivative ; consequently every polynomial function is differentiable at every real, with the derivative computed term by term, Sums, scalar multiples, products and quotients: , , , and when , The Euclidean inner product on ).
Regular level sets are locally graphs (A regular level set is locally a graph of dimension ).
For a function up to a bounded boundary, the classical normal derivative is its boundary gradient dotted with the outward unit normal (Classical normal derivative).
Verification
Fix . Openness gives with . Set . It is bounded and open, its boundary is the disjoint union of and , and the latter is a regular level set, hence locally a graph by [F6]–[F7]. The outer boundary retains the charts from [F5]. The point belongs to , so is nonempty; connectedness is not required in the bounded convention. Therefore is a bounded domain.
On , the formula [F1] expresses as . The closure of stays away from ; [F2] and the off-pole smoothness in [F3] therefore give a extension of this function to . In particular, its first derivative has a continuous boundary trace on the outer component .
For every interior , [F4] identifies with . Thus the first-variable derivative of the right-hand expression in [F1] gives the unique continuous trace of the derivative in the second variable of as approaches . The assumption [A1] is inherited from the Green definition and the bounded-/surface convention; its only substantive use here is [F4], through the Green-symmetry theorem, to identify the slots. The collar regularity is pointwise and choice-free. No full Axiom of Choice is used.
Restricting to meets the hypotheses of the published classical normal derivative in [F8]. On the outer boundary its outward normal is , since the excised sphere lies strictly inside . The formula in the Definition is therefore exactly the classical outward normal derivative trace, and it is independent of the chosen sufficiently small . The minus sign fixes the positive-kernel convention. No Sobolev trace or conormal derivative is asserted. [F5, F8, step 1.1, step 2.1, step 3.1, algebra]
Source notes
Teschl §5.4, equation (5.35), printed p. 125, defines the Poisson kernel as the negative outward normal derivative of the Green function in its second variable. Equation (5.34) expresses that Green function as the fundamental solution minus a harmonic corrector; the stated regularity makes the boundary trace used here classical. Schmidt §2.8, printed pp. 45–46, gives the Green-symmetry hypothesis and representation formula. Schmidt uses the opposite Laplacian/Green sign convention; translating to and the positive Green function yields the same negative-outward-derivative convention. These citations support the definition; the interior-slot trace is identified from the explicitly stated local symmetry hypothesis.
Green representation for classical Poisson data
Statement
Assume Countable Choice, let , and let be a bounded domain carrying a Dirichlet Green function for whose designated correctors satisfy for every pole ; let be the Poisson kernel. Then for every real and every , Both integrals are absolutely finite. Moreover on , and
Facts & Assumptions
Given: , , the bounded domain , its Dirichlet Green function with correctors , the real datum , and a point .
Countable Choice, written , says every sequence of nonempty sets has a choice function (The Axiom of Countable Choice ()). The Green, Poisson-kernel, surface and Green-identity conventions used below all carry this assumption, and no full Axiom of Choice is invoked.
The Green function satisfies for , is harmonic in away from its pole, extends continuously to with zero boundary trace, and its existence is conditional on the correctors (Dirichlet Green function for minus Laplacian).
Under the stated hypothesis for every pole, the Green function is symmetric: for all distinct (Symmetry of the Dirichlet Green function).
The kernel is for and for , off its pole; it is smooth and harmonic off the pole, and its value at the pole may be assigned arbitrarily (Fundamental solution for the positive operator minus Laplacian, The Laplace fundamental solution is harmonic off its pole).
On every bounded nonempty open set , a real with has its minimum on (Weak minimum principle for the laplacian). Connectedness is not required.
The Poisson kernel is defined by , where the boundary-slot normal derivative is the trace of as from inside (Poisson kernel from a Dirichlet Green function).
For a bounded domain with real , , all normals outward, including normals on holes (Second Green identity).
A bounded domain is a nonempty bounded open set whose boundary is locally, after a rigid change of coordinates, the graph of a function with the domain locally exactly the subgraph ; the outward unit normal is the transported , and means and its derivatives through order two extend continuously to the closure (Bounded C1 domains and their outward normals).
A positive-radius Euclidean sphere is a compact regular level set of : the coordinate partials are continuous, the total derivative is , and at every , so is a regular value and the sphere is locally a graph by the regular-level graph theorem (Euclidean spheres and closed balls as subspaces of , A regular level set is locally a graph of dimension , Regular and critical points, regular and critical values, and level sets, Submersions and immersions between Euclidean open sets, The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case, If all partial derivatives exist on a neighbourhood and are continuous at a point, then the map is totally differentiable there with Jacobian derivative, For a natural the function is differentiable everywhere with derivative ; for it is the constant , with derivative ; for a natural the function is differentiable at every with derivative ; consequently every polynomial function is differentiable at every real, with the derivative computed term by term, Sums, scalar multiples, products and quotients: , , , and when , The Euclidean inner product on ).
Chart surface measure on equals the polar measure and satisfies ; the chart surface measure of is (Agreement with the existing polar sphere measure).
On a compact embedded hypersurface the surface integral is defined by chart integration, constants have finite integral equal to the constant times the surface measure, and signed integrands with finite absolute integral are integrated through positive and negative parts (Surface integration on compact C1 hypersurfaces).
For the classical normal derivative is on , with the continuous interior gradient extension (Classical normal derivative); directional derivatives are (Directional derivatives and partial derivatives of a map ).
The chain rule and the partial-derivative formula compute derivatives of compositions; the derivative of and of the two kernel profiles are obtained from these and the real-power and logarithm derivative rules (The chain rule for total derivatives: , A total derivative computes every directional derivative, and its matrix is the Jacobian, Continuity and derivatives of positive-base real powers, The exponent, product, quotient, and iterated-power laws for positive real bases and real exponents).
The normalized kernel is locally integrable on : its absolute integral over every Euclidean ball is finite (Local integrability of the Laplace fundamental kernel, A locally integrable function on ); as (The logarithm grows more slowly than every positive real power).
Compact subsets of are closed and bounded, and continuous real functions on nonempty compact Euclidean sets are bounded (A compact subset of a metric space is closed and bounded, For a nonempty subset of with , compactness, closedness and boundedness, pseudocompactness, and attainment of extrema by every continuous real-valued function are equivalent); the absolute value of an integrable integral is bounded by the integral of the absolute value, the nonnegative integral is monotone, and the Lebesgue integral is linear on (The modulus of an integral is bounded by the integral of the modulus, Monotonicity and nonnegative homogeneity of the nonnegative integral, The Lebesgue integral is linear on , Integrable real and complex functions, and their integrals).
A continuous function on a closed interval that is differentiable inside has for some interior (The mean value theorem, as the case of Cauchy's: for continuous on with and differentiable on there is with ).
Dominated convergence applies to measurable functions converging almost everywhere under one integrable dominating function (Dominated convergence); under singletons in are Lebesgue null (Every at most countable subset of is Lebesgue null; in particular ).
Continuous maps pull back Borel sets to Borel sets; products, sums and absolute values of measurable functions are measurable; and every Borel subset of is Lebesgue measurable (A continuous map has Borel preimages of Borel sets, Arithmetic and lattice operations preserve measurability whenever they are defined, Assuming countable choice, every Borel subset of is Lebesgue measurable).
The Laplacian is (The Laplacian of a function and of a vector field).
Proof
Fix and choose with ; for put . Since , the set is open, bounded, contained in , and nonempty (any point at distance from lies in it), and its boundary is the disjoint union of and : every point of lies in the open set , so near such a point coincides with a ball minus the closed Euclidean ball, whose boundary is the regular level set of [F8], and near a point of it coincides with because the removed ball is at positive distance from that point. Hence is a bounded domain in the sense of [F7], with outward normal on and outward normal on , since moving from in direction enters the excluded ball while moving in direction leaves it.
Estimating on the small sphere: differentiating the two profiles of [F3] gives for , in both the power and the logarithmic case, because the radial profile with has for , and [F12]; consequently for . On this gives , while has modulus for and for [F3]; and for with by [F14]. The sphere has surface measure by [F9], and by [F14].
Absolute finiteness and measurability. The volume integrand is defined for and bounded in modulus by , and is locally integrable on the bounded set by [F13]; hence an integrable dominating function exists, and the integrand is Borel by [F1, F17] and . The boundary integrand is bounded in modulus by , a finite bound because is compact and at positive distance from [F3, F14]; the boundary has finite surface measure [F10], so the boundary integral is absolutely finite as well.
Nonnegativity of the Poisson kernel. First fix . By [F2], for we have . The corrector is bounded on by [F14], whereas tends to as by [F3]. Thus, for every sufficiently small as in step 1.1, on the inner sphere and is zero on by [F1]. It is harmonic on and continuous on by [F1]–[F3]. The weak minimum principle [F4], applicable to the bounded nonempty open set without a connectedness hypothesis, gives for every . Given any , choose such an ; hence throughout . Now fix and, for small , put . By the local subgraph property in [F7], for all sufficiently small , and for those ; define for such and . Symmetry and the corrector regularity give a expression for near by [F2, F3, F7]; the chain rule with the classical normal derivative [F5, F11, F12] gives . Since , its one-sided difference quotients are nonnegative, and so .
Apply the second Green identity [F6] on the bounded domain of step 1.1 to the real functions and , the latter being on by [F2, F3, F7] and harmonic on by [F1, F3, F18]. Both volume integrals are finite because and both functions are bounded on [F14], so On the trace by [F1], and the outward normal of there is by step 1.1, so the first boundary term vanishes and the second equals by [F5]. On the outward normal is by step 1.1, so the two boundary terms are and .
Limits on the small sphere. First term: by steps 1.1 and 1.2, and on , so the triangle inequality for integrals [F14] and the surface measure of [F9] bound this term by for , and by for ; both tend to as , using from [F13]. Second term: by steps 1.1 and 1.2, on , so with ; hence . For the remaining piece, the mean value theorem [F15] applied along segments from to gives , so
The volume term converges. For each one has as soon as , so pointwise on , a set of full measure by [F16]; the dominating function is integrable by [F13, F14] and bounds every term. Step 1.3 supplies measurability, so [F16] gives ; the integral on the right is absolutely finite by step 1.3 and [F14].
Passing to the limit. Take a sequence with and use the identity of step 2.2 for each . Step 2.4 gives the limit of the left side, the boundary integral over is independent of , the first sphere term tends to and the second to by step 2.3. Therefore Rearranging and using yields the displayed representation formula, with both integrals absolutely finite by step 1.3. Since was arbitrary, the formula holds for every .
Substituting the constant function , which lies in with by [F18], the formula of step 3.1 collapses to , which is the asserted normalization; combined with step 2.1 this proves and unit boundary mass. The theorem makes no existence claim for Green functions, only uses the one supplied; the dimension is excluded by [F3] and no case of [F1] is left out. Countable Choice is inherited from the Green, Poisson-kernel, surface and Green-identity conventions cited in [F1], [F5], [F6] and [F9]; the excision, chain rule, mean value and limiting arguments above invoke no further choice. Complex-valued are handled by applying the real result to and ; the statement is formulated for real .
Source notes
Teschl §5.4, equations (5.35)–(5.37) and Lemma 5.22, printed pp.125–127, states with and treats the formal derivation as heuristic until the lemma, which assumes and applies the Gauss–Green theorem with ; the present statement uses the stricter classical hypothesis , which is exactly the case in which the traces and normal derivatives used in steps 2.1, 2.2 and 2.3 exist. Schmidt §2.8, printed pp.45–46, proves the representation theorem by the same punctured-domain argument under its own regularity hypotheses; Schmidt normalizes and uses a nonpositive Green function, so the translation is and , under which the two weight signs agree. The and bounds of step 2.3, the sign of the hole normal, the positivity argument of step 2.1 and the unit-mass conclusion of step 4.1 are proved here rather than quoted.
Zero-Dirichlet Green representation for Poisson data
Statement
Assume Countable Choice and the hypotheses and sign convention of Green representation for classical Poisson data: , a bounded domain carrying a Dirichlet Green function for whose correctors satisfy , and . If is real with on and then the integral being absolutely finite. No regularity beyond is assumed, and no existence of Green functions is claimed.
Facts & Assumptions
Given: , , the bounded domain , its Dirichlet Green function with correctors , and the real function with and .
Countable Choice, written , says every sequence of nonempty sets has a choice function (The Axiom of Countable Choice ()).
Under the stated hypotheses the Green representation formula holds for every , and both integrals are absolutely finite (Green representation for classical Poisson data).
The Green function is for , with the kernel normalized by , and the Poisson kernel is (Dirichlet Green function for minus Laplacian).
Surface integration on a compact embedded hypersurface is chart integration; signed integrands with finite absolute integral are integrated through their positive and negative parts, so an integrand that vanishes identically integrates to zero (Surface integration on compact C1 hypersurfaces).
The Laplacian is , and means pointwise (The Laplacian of a function and of a vector field).
Proof
Fix . The datum is real and up to the boundary, the correctors satisfy the regularity hypothesis, and ; so the representation formula [F1] applies at , and its second integral is the surface integral over the compact hypersurface of the product . The hypothesis means that the continuous trace of vanishes at every boundary point.
For every we have by hypothesis, hence . The boundary integrand is therefore the identically zero function on , and its surface integral vanishes; this uses only the chart definition and the signed-integral convention of [F3], with no appeal to the size of .
Substituting and the vanishing boundary integral of step 1.2 into the formula of step 1.1 gives for the fixed , and the absolute finiteness asserted there is exactly the absolute finiteness of this integral.
Since was arbitrary, the identity holds for every . If , then and on , and the formula returns for every , consistent with the statement; the zero and empty cases are covered by this same substitution. Countable Choice is inherited from the representation theorem and its Green, kernel and surface conventions; no new choice is used in steps 1.1–2.1. For complex-valued the real result applies to the real and imaginary parts, whose boundary traces also vanish; the statement is formulated for real .
Source notes
Hunter §§2.5–2.7, printed pp.32–42, constructs the Green function for the Laplacian and states the representation for zero boundary data as the classical motivation for the Green function, after the Green identities of §2.5. Teschl §§5.3–5.4, printed pp.117–129, defines the Green function by the harmonic correction and derives the representation formula for classical data. Neither reference is used here as a proof of the specialization: the corollary is the substitution into the already proved representation theorem, with the boundary term disposed of by the zero trace. The regularity hypotheses are those of Green representation for classical Poisson data and are not weakened; in particular no weak-boundary or -trace statement is made.
Uniqueness of classical Dirichlet and compatible Neumann solutions
Statement
Assume Countable Choice, let , and let be a bounded connected domain. Let be real.
- If in and on , then on . Thus a fixed source and a fixed Dirichlet trace determine at most one solution in ; when a Dirichlet Green function with the regularity of Green representation for classical Poisson data exists, that representation gives the same conclusion.
- If in and on for the outward normal , then is constant on ; conversely, adding any real constant to a solution preserves both data. Thus a fixed source and a fixed outward Neumann trace determine the solutions up to an additive constant.
- If solves in and on , then necessarily
Existence is not asserted: clause 3 is a necessary compatibility equation for the Neumann problem, and no uniqueness statement here produces a solution.
Facts & Assumptions
Given: , , the bounded connected domain , and real functions on which the Laplacian and outward normal derivative are taken.
Countable Choice, written , says every sequence of nonempty sets has a choice function (The Axiom of Countable Choice ()). It is inherited from the Green, surface, Green-identity and divergence conventions used below.
For with in and on , the two functions agree on ; the theorem needs only bounded nonempty open (Uniqueness for the classical dirichlet problem).
For real and , , with all integrals finite (First Green identity).
For a bounded domain and , , both integrals finite (Divergence on a bounded C1 Euclidean domain); the classical normal derivative is with the continuous interior trace of (Classical normal derivative), and surface integrals are chart integrals on the compact hypersurface (Surface integration on compact C1 hypersurfaces).
The Laplacian is , and defines harmonicity (The Laplacian of a function and of a vector field); total derivatives are linear, so the Laplacian and the gradient are linear on functions (Sums and scalar multiples of totally differentiable maps are totally differentiable with the expected derivatives).
Let be nonempty, open and connected and let be totally differentiable at every point. Then on if and only if is constant on (A differentiable map on a connected open Euclidean set has zero derivative exactly when it is constant).
A measurable has exactly when almost everywhere (A nonnegative measurable function has integral exactly when it vanishes almost everywhere); every ball of positive radius has positive finite Lebesgue measure (Euclidean balls have positive finite Lebesgue measure), and the nonnegative integral is monotone (Monotonicity and nonnegative homogeneity of the nonnegative integral).
A bounded domain carries its convention: a function is in particular , and functions restrict to functions that are continuous on (Bounded C1 domains and their outward normals).
Under the hypotheses of Green representation for classical Poisson data and with real, harmonic and vanishing on , the representation reduces to for every , where is the Dirichlet Green function with correctors (Zero-Dirichlet Green representation for Poisson data, Dirichlet Green function for minus Laplacian).
Proof
Put . By [F4, F7], is a real function and , so is harmonic; also . If on then on , and if on then, since by [F3, F4], also there. For every real constant , [F4] gives and , so a constant shift changes neither datum.
Suppose is real, and on . By [F7] the field lies in , so the divergence theorem [F3] applies to it: , the last step by [F3] and the definition of . Since pointwise, this is , that is, , the compatibility equation of clause 3.
Dirichlet uniqueness. Assume on , so that and has zero boundary trace by step 1.1. First route: the published uniqueness theorem [F1] applies to , which lie in by [F7] and have equal Laplacians and equal boundary values; hence on . Second route: if in addition a Dirichlet Green function with the regularity of [F8] exists, then all hypotheses of the zero-Dirichlet representation are met by , which is real, , harmonic and has zero trace; the representation gives for every , hence on and, by continuity [F7], on . Either route gives clause 1.
Neumann data determine exactly the affine family. Assume on . By step 1.1 the difference is real, harmonic and satisfies on , and by [F7]; so the first Green identity [F2] applies with both slots equal to : . The right side is because , and , so . The integrand is nonnegative with finite integral, so it vanishes almost everywhere by [F6]; if at some , continuity of would give a ball and a constant with on that ball, whence by monotonicity and the positive ball measure of [F6], a contradiction. Hence on the nonempty open connected set , and [F5] makes constant on ; by continuity [F7] that constant is the value on . Conversely, step 1.1 shows that has the same source and the same outward Neumann trace for every real , so the solution set is exactly the affine family whenever one solution exists.
The three clauses are independent statements: clause 1 uses only the Dirichlet data, clause 2 only the Neumann data, and clause 3 is the necessary equation of step 1.2. No existence is asserted, and no sufficiency of the compatibility equation is claimed; in particular the second clause says that the solution set is either empty or a full affine line in . The empty-support and zero-data cases are included: if and the traced data are zero, then is a solution and clauses 1–2 apply with no exception, while clause 3 reads . Countable Choice is inherited from the Green, surface, Green-identity and divergence conventions of [F1], [F2], [F3] and [F8]; the pointwise differentiation, energy and limiting arguments add no further choice. For complex-valued the argument applies to and separately, since the Laplacian and the normal derivative are real-linear and the Green identity used is stated for real functions; the statement is formulated for real data. Dimension is excluded by [F1] and [F3].
Source notes
Hunter §2.5 Theorem 2.24, printed p.32, proves the classical Dirichlet uniqueness by the maximum principle, and the surrounding Green-identity material supplies the energy argument for Neumann data. Teschl §5.4 Theorem 5.21, printed p.124, proves Dirichlet uniqueness, and equation (5.43), printed p.128, records the Neumann compatibility identity for the sign convention used here. Neither source is used as a proof of the statements below: clause 1 is proved both by the published uniqueness theorem and, when a Green function exists, by the representation of this pair; clause 2 is the energy argument of the first Green identity together with connectedness; and clause 3 is the divergence theorem applied to . The corollary deliberately asserts no Neumann existence, so compatibility is presented as necessary only.
The Green identities used here are Euclidean
The integration pair is the Euclidean one. Every boundary flux computed on this page uses the Euclidean surface measure, the divergence identity Divergence on a bounded C1 Euclidean domain for a bounded domain with the outward normal, its piecewise-boundary relative Divergence for finite piecewise C1 presentations, and the two-function identity Second Green identity. No step of any item on this page integrates a differential form, and no step uses a Stokes theorem for oriented manifolds.
Where the pair is actually used. The distributional computation The negative Laplacian of the fundamental solution is the unit Dirac distribution and the Green representation formula Green representation for classical Poisson data excise the pole from the domain and then apply the second Green identity on the resulting bounded domain; the singular flux of the kernel across the excised sphere is computed directly from the radial profile and the chart surface integral of Surface integration on compact C1 hypersurfaces. The Neumann compatibility identity and the boundary terms of the corollaries use the divergence theorem in the same way.
Outward normals on excised balls are reversed. On the outer boundary the normal is the outward unit normal of ; on an excised sphere the outward normal of the remaining domain points into the hole, that is, . Both cited items display this reversal, and the sign of every singular boundary term is read off from it. Nothing here depends on the orientation convention of a manifold boundary.
The later manifold Stokes theorem is context only. A general Stokes theorem for oriented manifolds is built later in this run, on a page that this pair does not require and that does not require this pair. It supplies no proof step, no hypothesis and no sign convention to any item here, and no statement proved here is claimed as a manifold statement. The orientation language of the Euclidean surface measure is self-contained at this point.
Choice. Every item that invokes the Euclidean integration pair states and inherits it through the measure, polar-surface, divergence and Green-identity conventions listed above; The Axiom of Countable Choice () is the only choice principle used on this page. No full Axiom of Choice and no incompatible-axiom branch occurs.
Source notes
Hunter, Notes on Partial Differential Equations (2014), §§1.11–1.12, printed pp.16–18, proves the divergence theorem by graph integration, and §2.5, printed p.32, derives the Green identities from it; the surface measure used there is the Euclidean chart measure. Teschl, Partial Differential Equations: From Classical to Modern (2025 archived author manuscript), §5.4 equations (5.31)–(5.36), printed pp.125–126, records the same Euclidean surface and Green identities in the sign convention used here. Neither reference is used as a proof of the statements above: this remark only fixes which earlier local results carry every flux computation on the page, and records that the manifold comparison is not one of them.
5 · Examples, counterexamples and false statements
None yet.
Sources
- Gerald Teschl, Partial Differential Equations: From Classical to Modern (2025 archived author manuscript)
- John K. Hunter, Notes on Partial Differential Equations (2014)
- Paul Bankston, Metric Topology: A First Course, Proposition 21.3
- N. P. Strickland, Algebraic Topology notes, Proposition 5.14
- Thomas Schmidt, Partial Differential Equations I (2026)
- Sung-Jin Oh, Math 222A: Partial Differential Equations (lecture notes)