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The heat evolution of initial data
Definition
Assume Countable Choice, let and , and let be the heat kernel of The heat kernel on and its causal extension, with the function of unit norm supplied by Normalisation, parabolic scaling, heat equation and derivative bounds for the heat kernel. Convolution is that of Convolution of two functions on , and means the class space of The space as the quotient by null functions.
For and define to be the class of the function
By Young's convolution inequality Young's convolution inequality under Countable Choice applied with the exponent triple , which satisfies , this convolution is defined for almost every and belongs to with ; hence is a well-defined element of satisfying the contraction bound. For the integral converges absolutely for every because almost everywhere in , with , so it defines a bounded representative with .
The value depends only on the class of : if almost everywhere then the null set where they differ is carried by translation to a null set (Lebesgue outer measure, Lebesgue measurability and Lebesgue measure are unchanged by translation), so at every the two -integrands agree almost everywhere. Their absolute convergence holds at the same points, and wherever they converge the integrals agree by Two integrable functions are equal almost everywhere exactly when all of their indefinite integrals agree. Each is complex-linear on , by linearity of the integral of each representative.
Set , the identity operator on ; the singular kernel formula is never evaluated at .
Depends on
- Convolution of two functions on $\mathbb{R}^n$
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- The heat kernel on $\mathbb{R}^n$ and its causal extension
- The space $L^p(\mu)$ as the quotient by null functions
- Normalisation, parabolic scaling, heat equation and derivative bounds for the heat kernel
- Lebesgue outer measure, Lebesgue measurability and Lebesgue measure are unchanged by translation
- Two integrable functions are equal almost everywhere exactly when all of their indefinite integrals agree
- Young's convolution inequality under Countable Choice
Used by
- Infinite propagation speed for nonnegative heat data Corollary
- Mass conservation and positivity of the heat flow Corollary
- Monotonicity and Lᵖ contractivity of the heat flow Corollary
- The heat equation has no finite propagation speed Counterexample
- The heat flow need not converge in supremum norm Counterexample
- Gaussian data remain Gaussian under the heat flow 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
- Heat generator at zero on compactly supported smooth data Lemma
- Spatial and time derivatives pass through heat convolution for positive time Lemma
- Lᵖ to L^q smoothing estimate for the heat flow Theorem
- Spatial derivative estimates for the heat flow Theorem
- The heat Cauchy problem for bounded uniformly continuous data Theorem
- The heat Cauchy problem for Lᵖ data Theorem
Dependency tree · two levels
61 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- 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)