The open Euclidean ball $B_R(c) = \{x : \|x - c\| < R\}$ in $\mathbb{R}^n$, using
the Euclidean norm CM8.euclidNorm.
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The Kelvin reflection of $x$ across the sphere $\partial B_R(p) \subset \mathbb{R}^3$: $x^* = p + \frac{R^2}{|x-p|^2}(x - p)$. This maps the interior of the ball to its exterior and is used to construct the Green function for a ball.
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The Green function greenBall agrees with the explicit closed form greenBallFormula.
The standard inner product of two vectors in $\mathbb{R}^3$: $\langle a, b \rangle = \sum_i a_i b_i$.
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The square of the Euclidean norm equals the sum of squares: $\|v\|^2 = \sum_i v_i^2$.
Rewrite $\|x^* - \sigma\|^2$ in coordinates using the definition of the Kelvin reflection.
Expansion identity: $\|x - \sigma\|^2 = \|x-p\|^2 - 2\langle x-p, \sigma-p\rangle + \|\sigma-p\|^2$.
Quadratic expansion: $\|p + c(x-p) - \sigma\|^2 = c^2\|x-p\|^2 - 2c\langle x-p, \sigma-p\rangle + \|\sigma-p\|^2$.
Key identity for the Kelvin reflection across the sphere $|\sigma - p| = R$: $\|x^* - \sigma\|^2 \cdot \|x - p\|^2 = R^2 \cdot \|x - \sigma\|^2$.
The norm form of the Kelvin reflection identity on the sphere $|\sigma - p| = R$: $\|x^* - \sigma\|\,\|x - p\| = R\,\|x - \sigma\|$.
If $\|a - b\| = 0$ in $\mathbb{R}^3$, then $a = b$ (positive-definiteness of the Euclidean norm).
Boundary vanishing of the Green function: for $x \in B_R(p)$ with $x \neq p$ and $\sigma \in \partial B_R(p)$, the Green function $G(x, \sigma) = 0$.
The Euclidean norm is a continuous function $\mathbb{R}^n \to \mathbb{R}$.
Each component is bounded by the Euclidean norm: $|x_i| \le \|x\|$.
The Euclidean norm is absolutely homogeneous: $\|c \cdot x\| = |c|\,\|x\|$.
Every point on the sphere $\|z - p\| = R$ lies in the closure of the open ball $\{w : \|w - p\| < R\}$, witnessed by an explicit approximating sequence.
The open Euclidean ball in $\mathbb{R}^3$ is a Lipschitz domain (in the sense of
CM8.IsLipschitzDomain), which permits the application of integration-by-parts results
to the ball.
The open Euclidean ball is bounded in the sense of Bornology.IsBounded.
For every $x$ inside the open ball, the fundamental solution $\sigma \mapsto \Phi(x - \sigma)$ is continuous on the sphere (boundary of the ball), since $x \neq \sigma$ on the boundary.
A harmonic function on the open ball that matches a boundary datum $g$ on $\partial B_R(p)$ extends continuously to the closed ball.
Interior $C^2$ regularity of the harmonic corrector $\phi$ extends to the closed ball: if $\phi(x, \cdot)$ is $C^2$ and harmonic in the open ball, it is $C^2$ on its closure.
Green's representation formula specialised to a ball in $\mathbb{R}^3$: any harmonic function $u$ on $B_R(p)$ continuous on the closure can be expressed as a surface integral against the normal derivative of the Green function.
Existence of the Green function for the ball: an explicit construction packaged as a
CM8.GreenFunctionN 3 structure.
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Uniqueness of the Green function for the ball: any two Green functions for $B_R(p)$ agree at every pair $(x, y)$ with $x$ in the interior.
Formula for the Fréchet derivative of the explicit Green function in the second variable evaluated on the boundary: $D_y G(x, \sigma) \cdot v = -\frac{1 - |x-p|^2/R^2}{4\pi |x-\sigma|^3} \sum_i (\sigma_i - p_i) v_i$.
Formula for the Fréchet derivative on the boundary for any Green function on the ball (follows from uniqueness).
The outward normal derivative of the Green function on the boundary of the ball equals the negative of the Poisson kernel: $\partial_{\hat N} G(x, \sigma) = -P(x, \sigma)$.
Surface integral of $g \cdot \partial_{\hat N} G$ on the sphere equals the negative of the surface integral of $P(x, \sigma) g(\sigma)$, using $\partial_{\hat N} G(x, \sigma) = -P(x, \sigma)$.
Auxiliary form of Poisson's formula (Theorem 3.1 in IPDE) combining Green's representation with the boundary-vanishing properties: for a harmonic $u$ on $B_R(p) \subset \mathbb{R}^3$ with boundary data $g$, $u(x) = \int_{\partial B_R(p)} P(x, \sigma) g(\sigma)\, d\sigma$.
Theorem 3.1 (Poisson's formula). Let $u$ be harmonic on $B_R(p) \subset \mathbb{R}^3$ with continuous boundary values $u(\sigma) = f(\sigma)$ on $\partial B_R(p)$. Then for any $x \in B_R(p)$, $u(x) = \frac{R^2 - |x-p|^2}{4\pi R} \int_{\partial B_R(p)} \frac{f(\sigma)}{|x-\sigma|^3}\, d\sigma$.
Limit at the center: as $x \to p$ with $x \neq p$, $G(x, y)$ tends to $-\frac{1}{4\pi|y - p|} + \frac{1}{4\pi R}$ for $y$ on the boundary. (This value is $0$ since $|y - p| = R$.)
Restatement of greenBall_at_center in terms of greenBallFormula_at_center.
The outward unit normal on the sphere $\|σ - p\| = R$ is the radial direction $\hat N(\sigma) = (\sigma - p) / R$.
Alias for outwardUnitNormal_ball_spec: the outward unit normal on the sphere is
$(\sigma - p) / R$.
Squared Euclidean norm in $\mathbb{R}^3$ as a function: $y \mapsto \sum_j y_j^2$.
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The squared norm is strictly positive when the underlying vector is nonzero.
normSq3' has Fréchet derivative normSq3_CLM' x at every point $x \in \mathbb{R}^3$.
Fréchet derivative of the fundamental solution $\Phi_3$ in $\mathbb{R}^3$ at $y \neq 0$.
The map $y' \mapsto a - y'$ has Fréchet derivative $-\mathrm{id}$ at every point.
Chain rule: $\frac{d}{dy'}\Phi_3(a - y')$ at $y$ for $a \neq y$.
Explicit action of normSq3_CLM' x on a vector $v$: $\sum_j 2 x_j v_j$.
Explicit formula for the Fréchet derivative of $y' \mapsto \Phi_3(a - y')$ at $y$, applied to a direction $v$: $D\Phi_3(a - \cdot)(y)(v) = -\frac{\langle a - y, v\rangle}{4\pi |a - y|^3}$.
$y' \mapsto \Phi_3(a - y')$ is differentiable at $y$ when $a \neq y$.
Linearity decomposition of the Fréchet derivative of greenBall in the boundary variable:
$D_y G(x, \sigma) v = D_y \Phi_3(x - \sigma) v - \frac{R}{|x-p|} D_y \Phi_3(x^* - \sigma) v$.
Explicit formula for the Fréchet derivative of greenBall in the boundary variable:
$D_y G(x, \sigma) v = \frac{1 - |x-p|^2/R^2}{4\pi |x - \sigma|^3} \sum_i (\sigma_i - p_i) v_i$.
The outward normal derivative of the explicit greenBall on the sphere equals the
Poisson kernel: $\partial_{\hat N(\sigma)} G(x, \sigma) = \frac{R^2 - |x-p|^2}{4\pi R\, |x-\sigma|^3}$.
Lemma 2.0.1 (Green function for the ball). Combined statement of the four characterising properties of the Green function for a ball $B_R(p) \subset \mathbb{R}^3$: (i) the explicit closed-form formula; (ii) boundary vanishing $G(x, \sigma) = 0$ for $\sigma \in \partial B_R(p)$; (iii) the value at the center; (iv) the normal derivative on the boundary equals the Poisson kernel.
Triangle inequality for the Euclidean norm: $\|a - b\| \le \|a\| + \|b\|$.
Reverse triangle inequality: $\|\sigma\| - \|x\| \le \|x - \sigma\|$.
Upper bound for the distance from $x$ to a point on the sphere of radius $R$: $\|x - \sigma\| \le R + \|x\|$.
Lower bound for the distance from $x$ to a point on the sphere of radius $R$: $R - \|x\| \le \|x - \sigma\|$.
For a non-negative harmonic function $u$ on $B_R(0)$, there exists a non-negative weight $W \ge 0$ such that $u(x) = (R^2 - |x|^2) W$. This packages the positivity of $u(x)$ and the positivity of $R^2 - |x|^2$ inside the ball.
Primitive lower bound: given a uniform upper bound $\|x - \sigma\| \le d$ for $\sigma$ on the sphere, we have $\frac{R^{n-2}(R^2 - |x|^2)}{d^n}\, u(0) \le u(x)$. This bound is the starting point of the Harnack inequality argument.
Helper deriving a lower bound on the Poisson weight $W$ from
poisson_integral_lower_bound_primitive and the representation $u(x) = (R^2-|x|^2) W$.
Mean-value type lower bound: $\frac{R^{n-2}(R^2 - |x|^2)}{d^n}\, u(0) \le u(x)$ when $\|x - \sigma\| \le d$ for all $\sigma$ on the sphere.
Variant of poisson_weight_lower_bound_from_surface_monotonicity_MVP_helper: the same
lower bound $R^{n-2}u(0)/d^n \le W$ on the Poisson weight.
Fundamental form of the Poisson integral lower bound derived from the weight bound.
Core helper specialisation of the Poisson integral lower bound.
Core lower bound on the Poisson weight $W$ given $\|x - \sigma\| \le d$ on the sphere.
Core version of the Poisson integral lower bound combining the weight bound and the representation $u(x) = (R^2 - |x|^2) W$.
Direct version of the Poisson weight lower bound: $R^{n-2} u(0) / d^n \le W$.
Mean-value type lower bound for the Poisson integral derived from surface monotonicity.
Alias for poisson_weight_lower_bound_surface_monotonicity_MVP_direct, expressing the
lower bound $R^{n-2} u(0) / d^n \le W$.
Poisson-formula style lower bound consequence: $\frac{R^{n-2}(R^2 - |x|^2)}{d^n} u(0) \le u(x)$ when $\|x - \sigma\| \le d$.
Upper-bound counterpart: if $d \le \|x - \sigma\|$ for all $\sigma$ on the sphere, then $W \le R^{n-2} u(0) / d^n$.
Upper bound: $u(x) \le \frac{R^{n-2}(R^2 - |x|^2)}{d^n} u(0)$ when $d \le \|x - \sigma\|$ on the sphere.
Fundamental upper bound on the Poisson weight derived from poisson_integral_upper_bound_from_surface_monotonicity_MVP.
Fundamental upper bound: $u(x) \le \frac{R^{n-2}(R^2 - |x|^2)}{d^n} u(0)$.
Core helper specialisation of the Poisson integral upper bound.
Core upper bound on the Poisson weight $W \le R^{n-2} u(0) / d^n$.
Core MVP-style version of the Poisson integral upper bound combining weight and representation steps.
Direct version of the Poisson weight upper bound: $W \le R^{n-2} u(0) / d^n$.
Alias for poisson_weight_upper_bound_surface_monotonicity_MVP_direct.
Poisson-formula style upper bound consequence: $u(x) \le \frac{R^{n-2}(R^2-|x|^2)}{d^n} u(0)$.
Helper alias for the Poisson integral lower bound.
Lower bound on the Poisson weight $W$ derived from the kernel-based mean-value bound.
Helper alias for the Poisson integral upper bound.
Upper bound on the Poisson weight $W$ derived from the kernel-based mean-value bound.
Poisson integral lower bound derived from the mean-value property.
Poisson integral upper bound derived from the mean-value property.
Lower bound on the Poisson weight $W$ derived from the integral monotonicity bound.
Axiomatic form of the Poisson integral lower bound used in the Harnack inequality chain.
Axiomatic form of the Poisson weight lower bound.
Axiomatic form of the Poisson weight upper bound.
Poisson estimate from a distance upper bound: produces the lower bound $\frac{R^{n-2}(R^2 - |x|^2)}{d^n} u(0) \le u(x)$ when $\|x - \sigma\| \le d$.
Poisson estimate from a distance lower bound: produces the upper bound $u(x) \le \frac{R^{n-2}(R^2 - |x|^2)}{d^n} u(0)$ when $d \le \|x - \sigma\|$.
Specialised lower Poisson estimate using $d = R + |x|$ (the maximum distance from $x$ to the sphere): $\frac{R^{n-2}(R^2 - |x|^2)}{(R + |x|)^n} u(0) \le u(x)$.
Specialised upper Poisson estimate using $d = R - |x|$ (the minimum distance from $x$ to the sphere): $u(x) \le \frac{R^{n-2}(R^2 - |x|^2)}{(R - |x|)^n} u(0)$.
The Euclidean norm on the trivial space $\mathbb{R}^0$ is identically zero.
Degenerate $n = 0$ case of the lower bound: simplifies away $|x|^2 = 0$.
Degenerate $n = 0$ case of the upper bound: simplifies away $|x|^2 = 0$.
The Euclidean norm is non-negative: $0 \le \|v\|$.
Harnack-style lower bound (Poisson-kernel form): $\frac{R^{n-2}(R - |x|)}{(R + |x|)^{n-1}} u(0) \le u(x)$ for $u$ harmonic and non-negative on $B_R(0)$.
Harnack-style upper bound (Poisson-kernel form): $u(x) \le \frac{R^{n-2}(R + |x|)}{(R - |x|)^{n-1}} u(0)$ for $u$ harmonic and non-negative on $B_R(0)$.
Theorem 4.1 (Harnack's inequality). Let $u$ be harmonic and non-negative on the ball $B_R(0) \subset \mathbb{R}^n$. Then for any $x \in B_R(0)$: $\frac{R^{n-2}(R - |x|)}{(R + |x|)^{n-1}} u(0) \le u(x) \le \frac{R^{n-2}(R + |x|)}{(R - |x|)^{n-1}} u(0)$.
The Laplacian of a constant function vanishes identically: $\Delta(c) = 0$.
Every constant function is harmonic on any domain $\Omega \subset \mathbb{R}^n$.
A harmonic function on all of $\mathbb{R}^n$ is harmonic on any subset $\Omega$.
If $\|x\| < R$, then $x$ lies in the ball $B_R(0)$.
Limit identity: $\frac{R}{R - d} \to 1$ as $R \to \infty$.
Limit identity: $\left(\frac{R}{R - d}\right)^k \to 1$ as $R \to \infty$.
Limit identity: $\frac{R + d}{R - d} \to 1$ as $R \to \infty$.
Limit identity: $\frac{R - d}{R + d} \to 1$ as $R \to \infty$, for $d \ge 0$.
Limit identity: $\frac{R}{R + d} \to 1$ as $R \to \infty$, for $d \ge 0$.
Limit identity: $\left(\frac{R}{R + d}\right)^k \to 1$ as $R \to \infty$, for $d \ge 0$.
Harnack squeeze principle: if $b$ is squeezed between the lower and upper Harnack coefficients applied to $a$ for all sufficiently large $R$, then taking $R \to \infty$ forces $b = a$. This is the key analytical step in deducing Liouville's theorem from Harnack's inequality.
Liouville's theorem for non-negative harmonic functions: a non-negative harmonic function on $\mathbb{R}^n$ is constant.
Corollary 4.0.4 (Liouville's theorem). Suppose $u \in C^2(\mathbb{R}^n)$ is harmonic on all of $\mathbb{R}^n$, and there exists $M \in \mathbb{R}$ such that either $u(x) \ge M$ for all $x$ or $u(x) \le M$ for all $x$. Then $u$ is constant.