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Harmonic Functions and Mean Values in Rn
1 · Prerequisites
- Areas of Elementary Plane Figures
- Binary Operations, Monoids, Groups and Subgroups
- Compactness
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- 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
- Darboux, L'Hôpital, and Taylor's Theorem
- Density Separability and Convolution in Lᵖ
- Determinants of Matrices over a Commutative Ring
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Foundations of the Real Numbers for Analysis
- Fubini and Change of Variables
- Gaussian Elimination, Elementary Matrices and Reduced Row Echelon Form
- Group Actions, Orbits, Stabilisers and Cayley's Theorem
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- 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
- 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
- Order, Zorn's Lemma, and the Axiom of Choice
- Outer Measure and the Caratheodory Extension Theorem
- Polynomial Rings, the Division Algorithm and Roots
- Product Measures and the Fubini Tonelli Theorems
- Properties of the Integral and the Working FTC
- 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
- Separation Axioms: the Hierarchy
- Sequences and Limits
- Series: Convergence and the Nonnegative Tests
- Sigma Algebras and Borel Sets
- Simple Field Extensions and the Construction of the Complex Numbers
- 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 Divergence Theorem and Classical Stokes
- The Inverse and Implicit Function Theorems
- The Inverse Function Theorem Completed
- The Lebesgue Integral and the Convergence Theorems
- The Maximal Function and Lebesgue Differentiation
- 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
- Vector Spaces, Linear Subspaces, Span and Direct Sums
2 · Summary
Local averages characterize harmonicity and lead, through mollification, to Weyl regularity on arbitrary open subsets of .
3 · Logical flowchart
4 · Definitions, theorems and proofs
Distributional harmonicity and Poisson's equation on an open subset of Rn
Definition
Let be an integer and let be open. Write for smooth real functions with compact support in . A distribution is a continuous linear functional . Here continuity means that whenever the supports of and lie in one compact subset of and every partial derivative of converges uniformly to the corresponding derivative of . Set For , is its regular distribution. We say is distributionally harmonic when . Given another distribution , we say that solves the distributional Poisson equation when that equality holds as distributions. These are distinct from the classical conditions on a function in The Laplacian of a function and of a vector field.
Spherical averages and local ball means in Rn
Definition
Let , let be open, and let be locally Lebesgue integrable. Assume also that is -integrable on whenever . Put . For and with , define The spherical (respectively ball) mean-value property says (respectively ) for every such ball. The polar formula Polar coordinates decompose Lebesgue measure into r^{n-1} dr d sigma makes the normalizations meaningful.
Sphere and ball measures scale in Rn
Statement
For and , and ; both factors are finite and positive.
Proof
Given: and .
The parametrization gives [given].
Applying Polar coordinates decompose Lebesgue measure into r^{n-1} dr d sigma to gives [given, algebra]. ∎
Radial derivative of a spherical average
Statement
If , , and , then .
Proof
Given: and .
Differentiation under the compact sphere integral gives [given].
Integrating from to , then using polar coordinates, yields [given].
Divide by from Sphere and ball measures scale in Rn [step 1.2]. ∎
Spherical mean-value property for harmonic functions
Statement
If and , then whenever .
Proof
Given: is classically harmonic and .
Radial derivative of a spherical average gives for [given].
Hence is constant, and continuity gives [given].
Its value at is therefore [step 1.2]. ∎
Ball mean-value property for harmonic functions
Statement
Under Spherical mean-value property for harmonic functions, for every .
Proof
Given: is harmonic and .
Polar coordinates express [given].
The spherical identity makes this [given, algebra].
Divide by the positive ball volume from Sphere and ball measures scale in Rn [step 1.2]. ∎
A radial mollifier family in Rn
Definition
A radial mollifier family is as in The mollifier family generated by a unit-mass smooth bump, where , , , , and . Thus .
Radial mollification fixes local mean-value functions
Statement
Let have the spherical mean-value property, and let be a radial mollifier family as in A radial mollifier family in Rn. Then whenever .
Proof
Given: has the local spherical mean-value property and .
Polar coordinates give [given].
Substitute and use to obtain [given]. ∎
Continuous ball-mean-value functions are harmonic
Statement
If has the ball mean-value property, then and .
Proof
Given: has the ball mean-value property.
Integrating the ball identity in radius gives the spherical identity; Radial mollification fixes local mean-value functions then gives on [given].
Thus is smooth locally. Taylor's formula Second-order Taylor expansion and rotational symmetry give [step 1.1].
The ball identity and division by force for every [step 2.1]. ∎
A pointwise local ball mean property is enough
Statement
If and every has with such that whenever and , then is harmonic.
Proof
Given: the displayed local ball-mean hypothesis.
Each satisfies Continuous ball-mean-value functions are harmonic [given].
Hence on these balls, which cover [given]. ∎
The distributional Laplacian commutes with local mollification
Statement
For , put and define on . Then there.
Proof
Given: .
The support margin makes a test function in [given].
Differentiating the kernel and using Distributional harmonicity and Poisson's equation on an open subset of Rn gives [step 1.1].
This is for all [step 2.1]. ∎
Weyl's lemma for the Laplacian
Statement
If and , there is a unique smooth harmonic with .
Proof
Given: on the open set .
The distributional Laplacian commutes with local mollification makes smooth and harmonic on [given].
Radial mean invariance and associativity of convolution show on every common shrunken domain that [step 1.1].
The nested-interior double-convolution equality makes the regularizations agree as their radii shrink; their common local value defines a smooth harmonic , and gives [step 2.1].
If , then almost everywhere; continuity makes everywhere [given]. ∎
Locally integrable weakly harmonic functions are smooth
Statement
If and , then almost everywhere for a unique smooth harmonic .
Proof
Given: and .
Weyl's lemma for the Laplacian supplies a smooth harmonic with [given].
Equality of regular distributions implies almost everywhere, and uniqueness is inherited [step 1.1]. ∎
Derivatives of harmonic functions are harmonic
Statement
Every partial derivative of a smooth harmonic function is smooth harmonic. If , every distributional derivative of is induced by the corresponding smooth harmonic derivative.
Proof
Given: .
Constant-coefficient derivatives commute, so [given].
For from Weyl's lemma for the Laplacian, the derivative definition gives [step 1.1]. ∎
Locally uniform limits of harmonic functions are harmonic
Statement
If harmonic converge locally uniformly on to , then is harmonic.
Proof
Given: uniformly on compact subsets of .
On every , Ball mean-value property for harmonic functions says [given].
Uniform convergence on permits passage to the integral, giving [given].
Continuous ball-mean-value functions are harmonic proves harmonic [step 1.2]. ∎
Plane harmonic theory remains owned by complex analysis
The real-variable results on this page include . The holomorphic disc Poisson kernel, Perron theory, and conformal invariance remain in the complex-analysis track; no plane-specific result is reproved here.
5 · Examples, counterexamples and false statements
None yet.