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A quasi-isometric embedding with coarsely dense image has a quasi-inverse quasi-isometric embedding
Statement
Assume the Axiom of Choice (The Axiom of Choice).
A quasi-isometric embedding with coarsely dense image has a quasi-inverse quasi-isometric embedding.
Facts & Assumptions
Given: The hypotheses of the Statement, including the Axiom of Choice.
A subset is coarsely dense when every point of the space is within a fixed distance of it, and a quasi-isometry is a coarse Lipschitz map admitting a coarse Lipschitz quasi-inverse (Coarsely dense subsets, quasi-inverses and quasi-isometries).
A map is -coarse Lipschitz when , and an -quasi-isometric embedding when in addition (Coarse Lipschitz maps and quasi-isometric embeddings).
Two maps into a metric space are at bounded distance when the distance between their values is bounded uniformly (Bounded distance between two maps into a metric space).
Every family of nonempty sets has a choice function >. (The Axiom of Choice).
Proof
Let be an -quasi-isometric embedding whose image is -coarsely dense. By the definition of coarse density, for every the set is nonempty, so the Axiom of Choice gives a map with for every .
For , the upper inequality for gives so . Likewise is at most , so is a quasi-isometric embedding.
By step 1.1 the composite is at bounded distance at most from . Also so for every ; hence is at bounded distance from . Therefore is a coarse Lipschitz quasi-inverse of .
Depends on
Used by
Dependency tree · two levels
8 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- C. Loh, Geometric Group Theory: An Introduction (2015 course version), 264 pp. (standard reference, not scraped)
- C. Drutu and M. Kapovich, Geometric Group Theory (with an appendix by B. Nica), 837 pp. (standard reference, not scraped)