Alphabeta Math
DefinitionDefinition: Literature-sourcedProof: Not applicablePipeline-generatedjudge pass (gpt-6.1-sol)
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 Rn and its causal extension

Definition

Let n≥1 and t>0. The heat kernel on Rn is the function

Γ(x,t):=(4πt)−n/2exp⁡ ⁣(−∣x∣24t),x∈Rn,

where ∣x∣2=⟨x,x⟩ is the Euclidean square of The Euclidean inner product ⟨x,y⟩=∑k<nxkyk on Rn and exp⁡ is the real exponential function of The real exponential function and the number e by a power series. For fixed t>0 the map x↦Γ(x,t) is a composite of the quadratic form with the exponential and a scalar multiple, so it is C∞ in the sense of Ck maps and multi-index derivative notation in Euclidean space by The exponential function is smooth and (exp⁡)′=exp⁡ and Ck Euclidean maps are closed under componentwise algebra and composition, and it is strictly positive by The exponential is positive and satisfies exp⁡(−x)=1/exp⁡(x). The spatial Laplacian entering the heat equation is that of The Laplacian of a C2 function and of a C2 vector field.

The causal extension of the heat kernel is Γ(x,t) for t>0 and Γ(x,t):=0 for t≤0; the displayed formula is not evaluated at t=0 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

Used by

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