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Under Dependent Choice, every nonempty compact metric space is a continuous image of Cantor space
Statement
Assume Dependent Choice. Every nonempty compact metric space is the image of a continuous surjection from Cantor space .
Facts & Assumptions
Given: The objects, hypotheses, and choice principles stated above.
If is a nonempty compact metric space, there is a rooted levelled tree , finitely branching with every level finite and nonempty — so itself is infinite — and nonempty compact sets such that has one root with , every node has a finite nonempty set of children whose sets cover its set, every child set is contained in its parent set, and for after a harmless rescaling of the metric. (Under Dependent Choice, a compact metric space carries a finitely branching refining tree of covers of arbitrarily small diameter).
Let be a compact metric space (def-metric-compactness, def-metric-space). Then is totally bounded (def-totally-bounded) and complete (def-complete-metric-space). Both implications are theorems of ZF. Completeness is obtained here from the finite intersection characterisation (thm-compact-iff-finite-intersection-property) applied to the closures of the tails of a Cauchy sequence, and not from the extraction of a convergent subsequence, which would route the argument through sequential compactness. What matters for the ledger is that the route taken below selects nothing at all; the first remark below says why the other route was not taken. (A compact metric space is complete and totally bounded, and neither implication uses any choice principle).
Let be a metric space (def-metric-space). Call a sequence of subsets of a Cantor chain if every is nonempty, closed (def-metric-topology) and bounded, for every , and in (def-metric-bounded-diameter, def-real-limit). Then: 1. If is complete (def-complete-metric-space), every Cantor chain in has an intersection with exactly one element. 2. Conversely, if every Cantor chain in has nonempty intersection, then is complete. Boundedness of each is part of the definition of a Cantor chain because is defined for nonempty bounded sets only in this library (def-metric-bounded-diameter); it is not an extra hypothesis but the precondition for writing the diameter condition down. (In a complete metric space nested nonempty closed sets whose diameters tend to meet in exactly one point, and this property characterises completeness).
The product set. Let be a set and let be a set for each . The product is and we write , the -th coordinate of . Two elements of the product are equal exactly when they agree at every index, functions being equal when they have the same domain and the same values. For the -th projection is . The product topology on is the initial topology of the projections: the topology generated by the subbasis . Finite intersections of subbasic sets form a basis for it, and they are exactly the boxes with every open in and for all but finitely many . (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).
Throughout, a topology is as in def-topological-space, and finite, at most countable and uncountable are as in def-countable, so that "countable" always means "at most countable" and every finite set is countable. Let be a set. The six families below are topologies on ; that each really satisfies (T1), (T2) and (T3) is discharged in full after the list. Among those six is the discrete topology , in which every subset is open and hence every subset is also closed. (The discrete, indiscrete, cofinite, cocountable, particular-point and Sierpinski topologies).
Let be a set and let be a binary relation on . Call entire on when The Axiom of Dependent Choice, written , is the following statement. The statement is: for every nonempty set , every relation entire on , and every , there is a sequence with and for every . (The axiom of dependent choice: a relation in which every element is related to something admits an -indexed chain).
Proof
Use the finite rooted refining tree and choose a finite block of binary digits at each level that surjects onto every child set of every node at that level.
Successive blocks select a nested branch, and the complete compact intersection theorem gives its unique point.
The resulting map from Cantor space is continuous by the diameter bound and surjective by recursively selecting a child containing a prescribed point.
Keep nonemptiness explicit; no map from nonempty Cantor space can surject onto the empty space.
The preceding construction and implications establish the assertion.
Depends on
- Under Dependent Choice, a compact metric space carries a finitely branching refining tree of covers of arbitrarily small diameter
- A compact metric space is complete and totally bounded, and neither implication uses any choice principle
- In a complete metric space nested nonempty closed sets whose diameters tend to $0$ meet in exactly one point, and this property characterises completeness
- 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
- The discrete, indiscrete, cofinite, cocountable, particular-point and Sierpinski topologies
- The axiom of dependent choice: a relation in which every element is related to something admits an $\mathbb{N}$-indexed chain
Used by
Nothing in the library uses this result yet.
Dependency tree · next 3 levels
Direct dependencies and their dependencies through the next three levels: 113 results over 20 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
- David Marker, Descriptive Set Theory, §§1–2 (standard reference, not scraped)
- Michael Kunzinger, General Topology, §§11.3–11.4 (standard reference, not scraped)
- MFF General Topology course summary, §4.3 (standard reference, not scraped)
- Jesse Peterson, Real Analysis, §§3.6–3.7 (standard reference, not scraped)