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.
For , the map is continuous on , starts at , ends at radial normalisation, fixes the unit sphere, and never reaches
Statement
For , put and define
Then is continuous, , , for , and .
Facts & Assumptions
Given: and .
Radial normalisation is continuous on (Radial normalisation is continuous on ).
Coordinate projections and the map into a product are continuous as stated by the product universal property (A map into a product is continuous iff each of its components is; the projections are continuous and open; and each projection is surjective when every factor is nonempty, which for an infinite index set uses the Axiom of Choice, The product set of functions choosing a point in each factor, the projections, the box topology, and the product topology as the initial topology of the projections; the empty product is a one-point space).
The Euclidean norm is continuous for the Euclidean metric and is positive away from , and the unit sphere consists of its norm-one points (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 ).
For maps on a subset of a metric space, sums, scalar multiples and pointwise products of continuous real-valued functions are continuous, and a vector-valued map is continuous exactly when its coordinate functions are continuous (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, clauses 1 and 3, the product being the case of the inner product); composites of continuous maps are continuous (Continuity may be checked on any open cover, and on any finite closed cover; composites of continuous maps are continuous); and is continuous on , this being clause 4 of (Sums, scalar multiples, products, absolute values, maxima, minima and quotients with nonvanishing denominator of continuous functions are continuous, as are constants, the identity and every polynomial function) with , numerator and denominator the identity.
A map into a subspace is continuous exactly when its composite with the ambient inclusion is continuous (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).
Proof
The scalar is positive, since , , and .
The coordinate projections on are continuous by [L2]. By [L3] the map is continuous on and never there, so composing it with gives a continuous by [L4]; hence is continuous, being built from continuous functions by sums, scalar multiples and products as in [L4], and each coordinate is continuous. Componentwise continuity in [L4] makes continuous as a map into .
Substituting and gives and . If , then and .
Since and , . Hence takes values in , and [L5] makes it continuous as a map .
These identities and step 2.1 prove the statement.
Depends on
- Radial normalisation $x\mapsto x/\lVert x\rVert_2$ is continuous on $\mathbb{R}^n\setminus\{0\}$
- A map into a product is continuous iff each of its components is; the projections are continuous and open; and each projection is surjective when every factor is nonempty, which for an infinite index set uses the Axiom of Choice
- 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 product set $\prod_{i \in I} X_i$ of functions choosing a point in each factor, the projections, the box topology, and the product topology as the initial topology of the projections; the empty product is a one-point space
- Euclidean spheres and closed balls as subspaces of $\mathbb{R}^n$
- The finite and reverse triangle inequalities for a norm; and for $n \ge 1$ every norm $N$ on $\mathbb{R}^n$ satisfies $N(x) \le C\lVert x\rVert_1$ and is Lipschitz, hence continuous, for $d_2$
- Sums, scalar multiples, products, absolute values, maxima, minima and quotients with nonvanishing denominator of continuous functions are continuous, as are constants, the identity and every polynomial function
- Continuity may be checked on any open cover, and on any finite closed cover; composites of continuous maps are continuous
- 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
Used by
Dependency tree · next 3 levels
Direct dependencies and their dependencies through the next three levels: 161 results over 28 levels. An arrow runs from a result to what uses it, and this result sits at the bottom with a heavier outline. Click the chart to enlarge it.
Sources
- Deformation retract (standard reference, not scraped)