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.
Radial normalisation is continuous on
Statement
For , the map defined by is continuous.
Facts & Assumptions
Given: , the Euclidean norm, and a nonzero point .
The Euclidean norm is continuous and satisfies (The finite and reverse triangle inequalities for a norm; and for every norm on satisfies and is Lipschitz, hence continuous, for ).
Componentwise continuity gives continuity into (A vector-valued function has a limit, or is continuous, if and only if each of its components does; with the algebra of continuous vector-valued functions, Vector-valued functions , their limits and continuity, with the dictionary to the metric notions); and a map into a subspace is continuous exactly when its composite with the ambient inclusion is continuous, so a continuous map whose image lies in the subspace is continuous into it (Subspace topology: the traces of the open sets, its closed sets and its bases, the continuity of the inclusion, and the characteristic property of a map into a subspace).
The unit sphere is the set of vectors with Euclidean norm (Euclidean spheres and closed balls as subspaces of ).
Proof
Put . If , then [L1] gives .
For such , .
Step 1.2 gives the epsilon-delta condition at , so is continuous on the punctured space. Also , so its image lies in and [L2] gives continuity with that codomain.
Depends on
Vector-valued functions , their limits and continuity, with the dictionary to the metric notions
A vector-valued function has a limit, or is continuous, if and only if each of its components does; with the algebra of continuous vector-valued functions
The finite and reverse triangle inequalities for a norm; and for every norm on satisfies and is Lipschitz, hence continuous, for
Euclidean spheres and closed balls as subspaces of
Subspace topology: the traces of the open sets, its closed sets and its bases, the continuity of the inclusion, and the characteristic property of a map into a subspace