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For continuous maps into a convex subset of , the straight-line formula defines a continuous homotopy
Statement
Let . A subset is called convex here when
If is a topological space and are continuous, where has the subspace topology from , then
is continuous.
Facts & Assumptions
Given: A natural , a convex subspace , a topological space , and continuous maps .
Convexity is the displayed condition in the Statement.
Product projections are continuous, and a map into a product is continuous exactly when all component maps are continuous (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 topology on agrees with its Euclidean metric topology for every (For the product topology on copies of the usual topology of is the metric topology of on , and hence also of and , so as a product and as a metric space are one space).
For maps from a metric space into , continuity is componentwise; sums and scalar multiples of continuous vector-valued maps and inner products of two such maps 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).
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).
A map is continuous exactly when preimages of open sets are open (For a map of spaces the following agree: continuity at every point, preimages of open sets open, preimages of closed sets closed, preimages of subbasic open sets open, and , condition (b)).
Proof
Addition and multiplication are continuous. Indeed the coordinate projections are continuous by [L1], and by [L2] may be read as continuous scalar functions on the Euclidean metric space . The identity map and the constant map are continuous, so [L3] makes their inner product continuous. The maps and are continuous by the componentwise part of [L3], and their inner product is continuous by its algebra part.
Consequently, if are continuous on an arbitrary topological space , then and are continuous: the pair is continuous by [L1] and [L2], and composing it with the two maps of step 1.1 is continuous because the preimage of an open set under a composite is an iterated preimage, which is open by [L5]. Constant functions and additive inverses are continuous by the same argument, using a constant component and the continuous scalar multiple supplied by [L3].
Let be the inclusion and put , . These ambient maps are continuous by [L4]. For , let and be the projections. Each scalar coordinate and is continuous: coordinate projections on are continuous by [L1] and [L2], and composites preserve continuity by the preimage calculation of step 2.1. The scalar map is continuous, also as a map into , by [L1] and [L4].
By step 2.1, for every the function is continuous on . Therefore the ambient map with these coordinates is continuous by [L1] and [L2].
Convexity [A1] gives for every . Since the composite of with the inclusion is , [L4] makes continuous into .
Remarks
The continuity argument uses only products, subspaces and ordinary Euclidean continuity. Convexity is used solely to ensure that the straight-line formula takes values in .
Depends on
- 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
- 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
- For a map of spaces the following agree: continuity at every point, preimages of open sets open, preimages of closed sets closed, preimages of subbasic open sets open, and $f(\overline{A}) \subseteq \overline{f(A)}$
- For $n \ge 1$ the product topology on $n$ copies of the usual topology of $\mathbb{R}$ is the metric topology of $d_\infty$ on $\mathbb{R}^n$, and hence also of $d_1$ and $d_2$, so $\mathbb{R}^n$ as a product and $\mathbb{R}^n$ as a metric space are one space
Used by
- For every space X, the cylinder X×[0,1] deformation retracts onto X×{0} Example
- The formula H(x,t)=(1-t)f(x)+tg(x) gives an explicit homotopy between maps into ℝⁿ Example
- Two paths with the same endpoints in a convex subset of ℝⁿ are path homotopic relative to their endpoints Example
- Any two continuous maps into a nonempty convex subset of ℝⁿ are homotopic by straight lines Theorem
- Every nonempty convex subset of ℝⁿ is simply connected Theorem
- Loop classes form the group π₁(X,x₀) under concatenation Theorem
Dependency tree · next 3 levels
Direct dependencies and their dependencies through the next three levels: 137 results over 24 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
- Algebraic Topology lecture notes (UC Riverside) (standard reference, not scraped)