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.
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 and declare every complex-valued function on either open subset smooth. Define by evaluation at , with its usual absolute-value norm topology, and with its unique topology. Define in this dimension as the continuous complex-linear dual of : on its elements are exactly , , 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 both equal one.
Let be a Hausdorff, second-countable smooth -manifold without boundary. In a smooth chart , a smooth density is written . On a coordinate change its coefficient transforms by A compactly supported smooth density is one whose support (the closure of the set where its coefficient is nonzero) is compact in . For compact , let be the complex vector space of smooth densities supported in . For every chart , compact , and integer , give this space the seminorm An empty supremum is zero. These seminorms define the fixed-support locally convex topology. On the union , 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 is a continuous complex-linear functional on this space, with bilinear pairing . Write for these distributions. The support of is the complement of the union of open sets on which it annihilates every supported test density; denotes those with compact support. For , its coordinate representative is defined for by where the tilde extends the density by zero outside . This extension is smooth because the support is compact in . On each fixed support its derivatives in any other chart are bounded by finitely many derivatives of , by the chain and product rules on compact sets; hence the extension map is continuous for the specified topologies and 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 , define for test densities, using the displayed absolute-Jacobian rule. Define its distributional pullback by . 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.