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.
The heat kernel on and its causal extension
Definition
Let and . The heat kernel on is the function
where is the Euclidean square of The Euclidean inner product on and is the real exponential function of The real exponential function and the number by a power series. For fixed the map is a composite of the quadratic form with the exponential and a scalar multiple, so it is in the sense of maps and multi-index derivative notation in Euclidean space by The exponential function is smooth and and Euclidean maps are closed under componentwise algebra and composition, and it is strictly positive by The exponential is positive and satisfies . The spatial Laplacian entering the heat equation is that of The Laplacian of a function and of a vector field.
The causal extension of the heat kernel is for and for ; the displayed formula is not evaluated at as a function value. The normalisation is fixed by the unit-mass identity proved for the kernel on this page, and the causal extension is used only as a locally integrable function or, after embedding, as a distribution.
Depends on
- The exponential is positive and satisfies $\exp(-x)=1/\exp(x)$
- $C^k$ maps and multi-index derivative notation in Euclidean space
- The Euclidean inner product $\langle x,y\rangle = \sum_{k<n} x_k y_k$ on $\mathbb{R}^n$
- The Laplacian of a $C^2$ function and of a $C^2$ vector field
- The real exponential function and the number $e$ by a power series
- $C^k$ Euclidean maps are closed under componentwise algebra and composition
- The exponential function is smooth and $(\exp)'=\exp$
Used by
- Infinite propagation speed for nonnegative heat data Corollary
- The heat equation has no finite propagation speed Counterexample
- 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
- 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
- First and second Gaussian heat-kernel moments Lemma
- Normalisation, parabolic scaling, heat equation and derivative bounds for the heat kernel Lemma
- The heat kernel semigroup identity Γₜ*Γₛ=Γₜ₊ₛ Lemma
- Diffusivity, rescaling, and the heat kernel compared with the Poisson kernels Remark
- Spatial analyticity of heat flow at positive time Theorem
- The causal heat kernel is the fundamental solution of the heat operator Theorem
Dependency tree · two levels
41 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)
- 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)
- Victor Ivrii, Partial Differential Equations (University of Toronto, 2018, CC BY-SA) (standard reference, not scraped)