How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Boundary-integral equations and Galerkin BEM — Examples
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Absolute Continuity and the Sharp Fundamental Theorem of Calculus
- Areas of Elementary Plane Figures
- Banach Valued Integration and the Radon Nikodym Property
- Bessel-Potential Completions and Real-Order Sobolev Spaces
- Binary Operations, Monoids, Groups and Subgroups
- Boundary-integral equations and Galerkin BEM
- Bounded Linear Operators and Quotient Spaces
- Bounded Variation and the Riemann–Stieltjes Integral
- Compactness
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Complex Coordinate and Path Transport
- Complex Differentiability and the Cauchy–Riemann Equations
- Complex Lp Spaces and Test-Function Conventions
- Complex Norms and Realification
- Complexification, Realification and Real Structures
- Connectedness
- 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
- Convexity
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Countability Axioms and Cardinal Functions
- Darboux, L'Hôpital, and Taylor's Theorem
- Density Separability and Convolution in Lᵖ
- Determinants of Matrices over a Commutative Ring
- Differentiation of Monotone Functions and the Vitali Covering Theorem
- Discrete de Rham complexes and edge-element foundations
- Distributions Test Functions and Differentiation
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Dual Spaces Adjoint Operators and Annihilators
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Euclidean Surface Measure, Divergence, and Green Identities
- Fast multipole expansions and error
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Finite Probability and the Probabilistic Method
- Finite-element meshes and interpolation
- Foundations of the Real Numbers for Analysis
- Fourier Multipliers and Sobolev Characterisations
- Fourier Transform Convolution and Approximate Identities
- Fubini and Change of Variables
- Fundamental Trigonometric Identities
- Gaussian Elimination, Elementary Matrices and Reduced Row Echelon Form
- Gaussian quadrature
- Group Actions, Orbits, Stabilisers and Cayley's Theorem
- Hausdorff via the Diagonal
- Hilbert Space Geometry and Riesz Representation
- 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
- Lax--Milgram and Weak Elliptic Solutions
- 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
- Measurable Functions and Simple Approximation
- Measures and Their Basic Properties
- Metric Spaces
- Mixed Partials, Taylor Formulae, and Extrema
- Modes of Convergence Egorov and Lusin
- Monotone Functions, Discontinuities, and Continuity Sets
- Monotone Hamilton–Jacobi–Bellman schemes and policy iteration
- 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
- Orthonormal Bases, Parseval and Fourier Series
- Outer Measure and the Caratheodory Extension Theorem
- Outward rounded interval and ball arithmetic
- Partitions of Unity and Paracompactness
- Pointwise Extended-Real Function Products
- Polynomial interpolation and remainder
- 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
- Signed and Complex Measures Hahn and Jordan
- Simple Field Extensions and the Construction of the Complex Numbers
- Sine, Cosine, and the Definition of Pi
- Singular and infinite interval quadrature
- Smooth Approximation and Sobolev Extension
- Smooth Manifolds and Smooth Maps
- Smooth Partitions of Unity and Exhaustions
- Sobolev Poincare and Morrey Inequalities
- Subspaces, Products, and Quotients
- Suprema and Infima
- Symmetric Groups, Cycle Decomposition and the Sign Homomorphism
- Tangent Cotangent and the Differential
- Tempered Distributions and the Fourier Transform
- The Analytic Hahn Banach Theorem
- The Cantor Set, Baire Category, and Measure Zero in ℝ
- The Complex Exponential and Euler's Formula
- The Derivative and the Mean Value Theorems
- The Determinant of a Linear Operator, Cofactors and Cramer's Rule
- 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 Radon Nikodym Theorem and Lebesgue Decomposition
- 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
- Urysohn's Lemma and the Tietze Extension Theorem
- Variational crimes and Strang lemmas
- Vector Spaces, Linear Subspaces, Span and Direct Sums
- Weak Derivatives and Sobolev Spaces
2 · Summary
Worked examples
These examples check the kernel normalization, orientation, regularity limits, separate two-dimensional scaling convention, and the role of a certified matrix defect.
- A constant density on the sphere gives a constant trace evaluates the three-dimensional Newton single layer for constant density on a sphere. Its interior and exterior formulas are and , so the trace is and the outward conormal jump is .
- A unit sphere checks both layer jump signs evaluates both layers on the unit sphere. It checks the interior-minus-exterior conventions and , including the common double-layer conormal.
- A reentrant polyhedral edge has an H1 harmonic singularity uses in a reentrant wedge. The exponent lies between and , giving finite energy but a non-square-integrable second derivative near the edge.
- The logarithmic single layer on a circle changes by a scale term of rank at most one checks the separate two-dimensional logarithmic convention: scaling adds a constant-mode term proportional to total charge and scales capacity by the length factor.
- A two-by-two inexact assembly ledger solves a rational system and compares its exact and perturbed solutions. It illustrates how an already certified matrix defect enters the transfer bound; it does not claim the example matrix came from a surface mesh.
3 · Logical flowchart
4 · Definitions, theorems and proofs
None yet.
5 · Examples, counterexamples and false statements
A constant density on the sphere gives a constant trace
Example
For , let and take density . The classical Newton single-layer potential is It is continuous on with trace . With outward radial normal, the interior and exterior normal derivatives at the sphere are and , respectively, so their difference is , the density.
Facts & Assumptions
Given: The Newton kernel of The three-dimensional Laplace Newton kernel, a radius , and the sphere .
The three-dimensional layer kernel is normalized as (The three-dimensional Laplace Newton kernel).
The usual radius- sphere parametrization has area density on , ; its omitted poles and meridian have zero parameter contribution. Taking gives in the axisymmetric integral. (Surface area and scalar surface integrals on a regular patch, The derivatives of sine and cosine are cosine and minus sine, The second fundamental theorem: if is differentiable on with and is integrable, then )
Proof
For , spherical coordinates centered on the axis through give If this equals , and if it equals ; at the same convergent improper integral gives , and at the constant kernel times the parametrized area gives .
Differentiating the two radial formulas gives for and for . Their boundary limits are and , so . This direct smooth-sphere calculation checks the kernel normalization and jump orientation independently of the polyhedral theorem.
A unit sphere checks both layer jump signs
Example
On the unit sphere with outward normal, let both layer densities be the constant . The single layer has boundary trace and conormal jump . The double-layer kernel has potential in the unit ball and outside; hence . Its common normal derivative is zero. Thus these conventions agree with and .
Facts & Assumptions
Given: The Newton kernel and its fundamental-solution identity, a unit sphere with outward normal, and constant density .
The kernel is (The three-dimensional Laplace Newton kernel).
For density one on a radius- sphere, for and for ; at the trace is and the interior/exterior normal derivatives are and (A constant density on the sphere gives a constant trace).
Differentiation under a compact parameter integral is valid when the integrand and its parameter derivative are continuous on a compact rectangle. Use it successively in the two sphere parameters with area density ; for fixed , choose in a small interval around one avoiding , so all kernel derivatives there are uniformly continuous and bounded. (Leibniz's rule on a compact rectangle: an interior parameter derivative with a continuous extension may be passed through a Riemann integral, Surface area and scalar surface integrals on a regular patch)
Proof
The single-layer trace and conormal sign are exactly [F2]. For the double layer put and . In sphere parameters , differentiating by [F3] gives : the kernel derivative is the outward source-normal derivative, and the second term differentiates area density.
For fixed and sufficiently near one, [F2] gives , so . For fixed it gives , so . At the two potentials are constant on their respective sides; therefore their trace jump is and both normal derivatives are zero. This proves both signs without adding a divergence-theorem axiom to the classical example.
The logarithmic single layer on a circle changes by a scale term of rank at most one
Example
Let be the unit circle, let , and scale the curve to . For a smooth density on , set . Then In particular, the change in the layer trace depends only on the total charge, so it has rank at most one (rank zero for and rank one otherwise). For on and , the total charge is one and the trace changes by .
Facts & Assumptions
Given: The logarithmic capacity and layer conventions of Logarithmic capacity and the two-dimensional Laplace layer kernel, a circle, and a smooth density.
Under dilation by , capacity scales by and the logarithmic single-layer trace gains times the total charge (Logarithmic capacity and single-layer scaling under homothety).
Proof
The circle is compact. Since on it, every probability energy is at least . Normalized arclength has finite energy: writing and gives , whose logarithmic singularity is integrable because . Thus is finite and . Apply [F1] with and to obtain both scaling identities in the Example. The functional has one-dimensional range, and its output is a constant function, so the trace correction is rank at most one. Its scalar factor vanishes precisely at ; otherwise the constant density gives a nonzero correction, proving rank one.
For on the unit circle, . Substituting into the correction gives . Any zero-total-charge density has no scale correction by the same formula.
A reentrant polyhedral edge has an H1 harmonic singularity
Example
At a straight reentrant edge with cross-sectional opening angle , put and in local cylindrical coordinates define Then is harmonic in the wedge, has zero trace on its two planar side faces, belongs to locally up to the edge, and does not belong to in any neighborhood of the edge.
Facts & Assumptions
Given: A reentrant polyhedral edge in the sense of Lipschitz polyhedral boundary, orientation, and trace spaces, with opening angle .
A polyhedral Lipschitz boundary is locally a finite union of planar faces meeting along edges (Lipschitz polyhedral boundary, orientation, and trace spaces).
In the transverse plane polar integration uses ; the unchanged polyhedral chart convention already assumes Countable Choice. One may apply it on and let for the nonnegative squared derivatives. (Polar coordinates decompose Lebesgue measure into r^{n-1} dr d sigma)
Proof
In polar coordinates the cross-sectional Laplacian is . For , the three terms sum to ; the derivative is zero. Also because . Thus it is harmonic with zero side trace in the local geometry [F1].
The squared transverse gradient is , so its local integral is a constant times for ; itself is also square integrable. On the other hand, is nonzero on a set of angles of positive measure, and its squared integral contains because . Hence locally but near the edge.
A two-by-two inexact assembly ledger
Example
Use Euclidean norm on and exact matrix/load Approximate it by The exact coercivity and continuity constants are and . The defect matrix is , so ; take the conservative certified , load defect , and . The perturbed solve is while . The transfer theorem gives the certified error ; the exact rational difference is also smaller than .
This is a finite algebraic error ledger illustrating how a certified assembly defect enters the perturbation theorem; it does not assert that this particular matrix is a panel matrix from a specified mesh.
Facts & Assumptions
Given: The exact two-dimensional bilinear form, its perturbed matrix, the Euclidean norm, and the transfer theorem.
If , a matrix defect and load defect give the stated Galerkin error bound (A certified matrix defect transfers to a Galerkin error bound).
Proof
The eigenvectors and of have eigenvalues and , respectively. Hence and , so , . The defect matrix is diagonal with entries , so ; alternatively . Thus is a certified Euclidean operator defect.
The determinant of is , and its inverse applied to gives . The exact inverse of gives . Their difference is , whose squared norm is because .
The discrete space here is the whole two-dimensional space, so the exact Galerkin best-approximation term vanishes; , , , and . Applying [F1] gives which agrees with the direct rational check in step 1.2.