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Kac return-time formula without invertibility
Statement
If preserves an ergodic probability measure and is measurable with , then . Equivalently, . The formula does not require invertibility.
Facts & Assumptions
Return-time tails are measurable. First-return time and induced map are measurable.
Avoiding a positive set forever is a null event. Positive sets sweep out ergodic probability systems.
Apply integral invariance to measurable indicators. Integral invariance under measure-preserving maps.
Increasing finite tail sums converge in integral. Monotone convergence for the integral.
Decreasing avoidance sets have limiting measure equal to their intersection. Continuity from above when one set has finite measure.
Proof
Given: If preserves an ergodic probability measure and is measurable with , then . Equivalently, . The formula does not require invertibility.
Put and for . Since , its disjoint split at E consists of and . Indicator invariance and finite additivity therefore give for . In particular at j=0 this is .
For , the simple function equals on E and zero elsewhere. Its integral telescopes to . The sets C_N decrease to points avoiding E at all nonnegative times, a null set by sweep-out. Since , continuity from above yields .
The tail sums increase pointwise to , including infinite return times. Monotone convergence gives . The complement of the infinitely returning core in E is measurable null, so its nonnegative integral is zero, even where . Restriction and normalization therefore give ; multiplying by the positive denominator reverses the equivalence.
Depends on
Used by
- Kac normalization needs ergodicity Counterexample
- Kac mean return to a half-circle under irrational rotation Example
Dependency tree · two levels
22 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
- Sarig Theorem 1.7(3), pp.28–29 (specialization f=1) (standard reference, not scraped)