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DefinitionDefinition: AI-adaptedProof: Not applicablePipeline-generatedprecheck passverified 2026-10-22 (gpt-6.1-sol)
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Scalar distributions on smooth manifolds

Definition

In positive dimension use the Euclidean test-function spaces and their topology from the suppliers below. In dimension zero put R0={∗} and declare every complex-valued function on either open subset smooth. Define D({∗})=C by evaluation at ∗, with its usual absolute-value norm topology, and D(∅)={0} with its unique topology. Define D′(Ω) in this dimension as the continuous complex-linear dual of D(Ω): on {∗} its elements are exactly f↦cf(∗), c∈C, and on the empty set there is only zero. The unique zero-dimensional multi-index has order zero and its derivative is the identity; an empty determinant and the density symbol ∣dx1⋯dx0∣ both equal one.

Let M be a Hausdorff, second-countable smooth n-manifold without boundary. In a smooth chart x=(x1,…,xn), a smooth density is written ϕx(x)∣dx1⋯dxn∣. On a coordinate change y=ψ(x) its coefficient transforms by ϕy(y)=ϕx(ψ−1(y)) ∣det⁡Dψ−1(y)∣. A compactly supported smooth density is one whose support (the closure of the set where its coefficient is nonzero) is compact in M. For compact K⊂M, let DK(M;∣ΛnT∗M∣) be the complex vector space of smooth densities supported in K. For every chart x:U→Ω, compact L⊂U, and integer r≥0, give this space the seminorm px,L,r(ω)=max⁡∣α∣≤rsup⁡z∈x(L)∣∂αϕx(z)∣. An empty supremum is zero. These seminorms define the fixed-support locally convex topology. On the union D(M;∣ΛnT∗M∣)=⋃K compactDK(M;∣ΛnT∗M∣), take all seminorms whose restriction to every fixed-support space is continuous; their finite intersections of open seminorm balls and translates define the test-density topology. Thus it is the finest locally convex topology making every fixed-support inclusion continuous, as in the Euclidean test-function topology. This specifies the locally convex inductive limit without choosing an exhaustion.

A scalar distribution on M is a continuous complex-linear functional on this space, with bilinear pairing ⟨u,ω⟩. Write D′(M) for these distributions. The support of u is the complement of the union of open sets on which it annihilates every supported test density; E′(M) denotes those with compact support. For x:U→Ω, its coordinate representative is defined for f∈Cc∞(Ω) by ⟨ux,f⟩=⟨u,x∗(f∣dz1⋯dzn∣)~⟩, where the tilde extends the density by zero outside U. This extension is smooth because the support is compact in U. On each fixed support its derivatives in any other chart are bounded by finitely many derivatives of f, by the chain and product rules on compact sets; hence the extension map is continuous for the specified topologies and ux is a Euclidean distribution. In dimension zero derivatives have order zero and the density determinant is one. On a product manifold use the same definition with product densities. For a smooth diffeomorphism f:N→M, define f∗ω=(f−1)∗ω for test densities, using the displayed absolute-Jacobian rule. Define its distributional pullback by ⟨f∗u,ω⟩=⟨u,f∗ω⟩. Compact supports are mapped to compact supports, and the same compact derivative estimates prove continuity. This includes coordinate changes and interchange of factors of a product.

Depends on

Dependency tree · 2 levels

Sources