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Special trees are exactly rationally special
Statement
For every set-theoretic tree , the following are equivalent:
- is a countable union of antichains;
- there is a map such that implies .
Thus the antichain-cover and strictly increasing rational-label conventions for a special tree agree. The equivalence includes empty and singleton trees and is provable in ZF.
Facts & Assumptions
Given: A set-theoretic tree .
A tree is special exactly when it is a countable union of antichains; a strictly increasing rational labeling implies specialness. Empty and singleton trees are special. Aronszajn, Suslin and special trees
A nonempty set is at most countable exactly when it is the range of a surjection from , and every subset of an at most countable set is at most countable. Finite, countably infinite, countable, uncountable, A nonempty set is at most countable iff it is a surjective image of , Every subset of an at most countable set is at most countable
Natural recursion and induction construct and verify finite lists and their length-by-length enumeration. The recursion theorem, The principle of mathematical induction
Every nonempty subset of has a least element. The well-ordering principle
Every at most countable linear order has a strictly order-preserving injection into . Every countable linear order embeds in the rationals
A linear order is a partial order in which every two elements are comparable. Partial order and partially ordered set
Proof
Assume first that is strictly increasing on comparable nodes. By [F1] it witnesses that is special, and the same fact gives a countable antichain cover. This also covers and a singleton.
Conversely suppose with every an antichain. Put ; [F4] makes this a function, its fibers are antichains, and they partition . For define by exactly when and some has . Thus for , so has finite support.
Let and lexicographically order distinct members at their least differing coordinate, with . The least coordinate exists by [F4], and the usual first-difference argument proves trichotomy and transitivity, so [F6] makes this a linear order. The set of all finite-support binary sequences has a specified surjective enumeration: list the finite binary words by increasing length and lexicographically within each finite block, using recursion and induction, and extend each word by zeros. Every finite-support sequence occurs, including the all-zero sequence from the empty word. Hence that set is at most countable by [F2], and so is its subset .
Fix and write and ; the antichain fibers give . At coordinate , . If then by its cutoff; if and , some has color , contradicting that is an antichain. Hence in either case. Let be the least coordinate where and differ; [F4] gives it and the coordinate just found gives . If and , some has color , while and would make , a contradiction. Therefore .
By [F5] choose a strict order embedding and define . If , step 2.1 says is lexicographically below , so . This proves the reverse implication; together with step 1.1 it proves the equivalence. All minima and enumerations used specified least or recursive rules, so no choice principle is used.
Remarks
- The required first-difference bound is , not in general . For example, if and there are no earlier colors, the first difference can occur at coordinate . The proof above supplies the missing derivation of in Monk's second case.
- Injectivity of is neither claimed nor needed: step 2.1 proves distinct codes precisely for comparable distinct nodes, which is exactly what the rational specialization requires.
Depends on
- Aronszajn, Suslin and special trees
- Partial order and partially ordered set
- Finite, countably infinite, countable, uncountable
- A nonempty set is at most countable iff it is a surjective image of $\mathbb{N}$
- Every subset of an at most countable set is at most countable
- The recursion theorem
- The principle of mathematical induction
- The well-ordering principle
- Every countable linear order embeds in the rationals
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
31 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
- Monk, Set theory following Jech, Proposition 9.37 and complete proof, printed pp. 86-87 (standard reference, not scraped)