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Normalisation, parabolic scaling, heat equation and derivative bounds for the heat kernel
Statement
Assume Countable Choice and let . For every : (i) and ; (ii) parabolic scaling: for every and ; (iii) is on and solves the heat equation there, ; (iv) for every multi-index there is with for all , ; in particular and is an approximate identity on .
Facts & Assumptions
Given: Countable Choice, , together with , a multi-index and wherever these appear.
Countable Choice is the hypothesis carried by the measure-theoretic and change-of-variables suppliers below (The Axiom of Countable Choice ()).
For and the heat kernel is , it is strictly positive, and its causal extension vanishes for (The heat kernel on and its causal extension).
Under , the Lebesgue measure is the completion of the product measure (The Euclidean Lebesgue measure is the completion of the product of the factor Lebesgue measures).
On completed sigma-finite product measure spaces, a nonnegative completed-product-measurable has measurable sections outside measurable null sets. Set the inner integrals to zero on those exceptional sets; the resulting measurable functions have integrals equal to (Tonelli and Fubini for the completed product, with only almost-everywhere section measurability). For the continuous Euclidean Gaussian integrands used here, every section is measurable, so the ordinary iterated integrals give the same value.
An invertible linear carries Lebesgue measurable sets to Lebesgue measurable sets and satisfies for every Lebesgue measurable (A linear map of sends Lebesgue measurable sets to Lebesgue measurable sets, with when is invertible and Lebesgue null when it is not).
For a diffeomorphism of open sets and every nonnegative Lebesgue measurable , (A C^1 diffeomorphism satisfies the change-of-variables formula for nonnegative Lebesgue measurable functions).
If almost everywhere and almost everywhere for a single integrable nonnegative , then (Dominated convergence).
For every and real , as (The exponential dominates every fixed nonnegative integer power at ).
If is differentiable at and is differentiable at , then (The chain rule, in one line from Carathéodory: if is differentiable at and is differentiable at , then is differentiable at with ).
Derivatives of sums, scalar multiples, products and quotients obey the sum, scalar, product and quotient rules (Sums, scalar multiples, products and quotients: , , , and when ).
Finite componentwise sums, products and scalar multiples of Euclidean maps are , and composites of composable Euclidean maps are , for every ( Euclidean maps are closed under componentwise algebra and composition).
The real exponential function is and for every (The exponential function is smooth and ).
An approximate identity on is a family with , with bounded independently of , and with as for every (An approximate identity on ).
Proof
Work under [A1] and fix . By [F1], . Let , an invertible linear self-map of with in the sense of [F5], and put ; since is a diffeomorphism and is nonnegative and measurable, [F6] applied with gives . By [F3] the Lebesgue integral over is the completed product integral, so Tonelli's theorem [F4] factorises by the one-dimensional Gaussian integral [F2]; hence , absolutely and as a nonnegative integral, and with the strict positivity recorded in [F1] this proves (i).
Scaling: for , [F1] gives , using and , which is (ii).
Smoothness: the map is a quotient of polynomials defined and smooth on the open set , the map is by [F12], and is a nonzero scalar multiple of , smooth for ; closure under products, scalar multiples and composition [F11] makes on .
Derivative bound at : by induction on we show that for a polynomial with . For , [F1] gives , and because is bounded and tends to at infinity. If the claim holds for , then differentiating once more in a coordinate multiplies by a linear polynomial (the derivative of plus ) and keeps the Gaussian factor, so the polynomial form is preserved; for the finiteness, each monomial of satisfies as by [F8] applied to the radial variable , and a continuous function on that tends to at infinity is bounded, so the supremum is finite. Hence for every .
Derivatives: differentiating the formula of [F1] in the coordinate with the one-variable chain and product rules [F9, F10] and [F12] gives and, differentiating once more, ; differentiating in gives . Summing the spatial identities over yields on , which together with step 1.3 is (iii).
Derivative bound at general : by step 1.2 applied with and with replaced by , for every and ; differentiating this identity times in , the chain rule [F9] contributes one factor for each spatial derivative, so , and step 1.4 yields , which is (iv) with .
Tail estimate: by step 1.2, ; applying the diffeomorphism substitution [F6] to gives for every . As the integrands are dominated by the fixed integrable function from step 1.1 and converge pointwise to at every , including , so dominated convergence [F7] gives ; with unit mass and positivity from step 1.1 and [F1], the three defining clauses of [F13] hold for the family , so is an approximate identity.
Steps 1.1, 1.2, 1.3, 2.1, 1.4, 2.2 and 2.3 prove (i) unit mass and positivity, (ii) parabolic scaling, (iii) smoothness and the heat equation, (iv) the derivative bounds with finite constants , and the unit norm together with the approximate-identity property of [F13]; this is the whole statement.
Depends on
- $C^k$ maps and multi-index derivative notation in Euclidean space
- $C^k$ Euclidean maps and diffeomorphisms
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- The heat kernel on $\mathbb{R}^n$ and its causal extension
- An $L^1$ approximate identity on $\mathbb{R}^n$
- Sums, scalar multiples, products and quotients: $(f+g)'(c) = f'(c) + g'(c)$, $(\alpha f)'(c) = \alpha f'(c)$, $(fg)'(c) = f'(c)g(c) + f(c)g'(c)$, and $(f/g)'(c) = \bigl(f'(c)g(c) - f(c)g'(c)\bigr)/g(c)^{2}$ when $g(c) \ne 0$
- A C^1 diffeomorphism satisfies the change-of-variables formula for nonnegative Lebesgue measurable functions
- The chain rule, in one line from Carathéodory: if $g$ is differentiable at $c$ and $f$ is differentiable at $g(c)$, then $f \circ g$ is differentiable at $c$ with $(f \circ g)'(c) = f'(g(c))\,g'(c)$
- $C^k$ Euclidean maps are closed under componentwise algebra and composition
- Clairaut--Schwarz theorem for continuous second partial derivatives
- The exponential function is smooth and $(\exp)'=\exp$
- Dominated convergence
- The Euclidean Lebesgue measure is the completion of the product of the factor Lebesgue measures
- The exponential dominates every fixed nonnegative integer power at $+\infty$
- The Gaussian integral $\int_{-\infty}^{\infty}e^{-x^2}\,dx=\sqrt{\pi}$
- A linear map $T$ of $\mathbb{R}^n$ sends Lebesgue measurable sets to Lebesgue measurable sets, with $\lambda_n(T[E])=|\det T|\,\lambda_n(E)$ when $T$ is invertible and $T[E]$ Lebesgue null when it is not
- Tonelli and Fubini for the completed product, with only almost-everywhere section measurability
Used by
- Infinite propagation speed for nonnegative heat data Corollary
- Mass conservation and positivity of the heat flow Corollary
- The heat flow need not converge in supremum norm Counterexample
- The heat evolution Hₜ of initial data Definition
- Gaussian data remain Gaussian under the heat flow Example
- Heat evolution of affine and quadratic polynomials Example
- The Fourier transform of the heat kernel Example
- The heat flow of an interval indicator is a difference of Gaussian tails Example
- The heat kernel is a self-similar solution with conserved unit mass Example
- The heat smoothing time exponent is forced by scaling Example
- First and second Gaussian heat-kernel moments Lemma
- Gaussian kernels form an approximate identity Lemma
- Heat generator at zero on compactly supported smooth data Lemma
- Spatial and time derivatives pass through heat convolution for positive time Lemma
- The heat kernel semigroup identity Γₜ*Γₛ=Γₜ₊ₛ Lemma
- Diffusivity, rescaling, and the heat kernel compared with the Poisson kernels Remark
- Lᵖ to L^q smoothing estimate for the heat flow Theorem
- Spatial derivative estimates for the heat flow Theorem
- The causal heat kernel is the fundamental solution of the heat operator Theorem
- The heat Cauchy problem for bounded uniformly continuous data Theorem
- The heat Cauchy problem for Lᵖ data Theorem
Dependency tree · two levels
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Sources
- Jared Speck, MIT 18.152 Introduction to Partial Differential Equations, Class Meeting #5: The Fundamental Solution for the Heat Equation (Fall 2011) (standard reference, not scraped)
- John K. Hunter, Notes on Partial Differential Equations (revised 18 June 2014, UC Davis) (standard reference, not scraped)
- Gerald Teschl, Partial Differential Equations: From Classical to Modern (2025 archived author manuscript, AMS Graduate Studies in Mathematics) (standard reference, not scraped)
- Victor Ivrii, Partial Differential Equations (University of Toronto, 2018, CC BY-SA) (standard reference, not scraped)