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One-dimensional Brownian motion is recurrent
Statement
Assume the Axiom of Choice and let be a standard Brownian motion Brownian motion. Use the everywhere-continuous, zero-start representative fixed in One-dimensional Brownian motion hits every point almost surely, retaining the notation . Then almost surely the set is unbounded for every nonempty open interval ; equivalently, almost surely the path visits every neighbourhood of every real point at arbitrarily large times.
Facts & Assumptions
Given: AC and a standard Brownian motion in the stated fixed everywhere-continuous, zero-start representative.
For this representative, one-dimensional Brownian motion hits every deterministic level almost surely: for every . One-dimensional Brownian motion hits every point almost surely
Future-path Markov: for each deterministic and each bounded Borel functional on continuous path space, almost surely, where is Wiener measure. Future-path Markov property Natural and usual augmented Brownian filtrations
Conditional-expectation versions are unique almost surely, so an event whose conditional probability given equals has probability one. Conditional expectation as an ae class Conditional expectation is unique almost surely
Countable intersections of probability-one events have probability one, by continuity from above of a probability measure based at a probability-one event. Basic identities for a probability measure
The rationals are dense in , so every nonempty open interval contains a rational point. The rationals embed densely in the reals
AC is the ambient assumption of the Brownian construction. The Axiom of Choice
Proof
Fix and define on continuous path space . This functional is Borel: its one-set is , and each displayed minimum is continuous for uniform convergence on (changing the path by at most changes the minimum by at most ). For every deterministic , [F1] applied under Wiener measure to the level gives .
Fix and let . Because the chosen representative is everywhere continuous, pointwise. Applying [F2] and step 1.1 at time therefore gives almost surely; by [F3] this forces . This conditions a fixed Borel future-path event and evaluates its kernel at the known state ; it does not apply [F1] directly to a random level.
For fixed the events all have probability one, so has probability one by [F4], and on the path visits the level at arbitrarily large times.
The intersection over the countable set of rationals again has probability one by [F4]; on , for every rational and every time bound the path visits at some larger time.
Let be a nonempty open interval. By [F5] choose a rational . On the probability-one event of step 4.1 the path visits , hence enters , at arbitrarily large times. Since every nonempty open interval arises in this way and does not depend on , almost surely the set is unbounded for every nonempty open interval .
The equivalent formulation follows: for a real point and , the interval is nonempty and open, so it is visited at arbitrarily large times almost surely. The case of the empty interval is excluded, singleton intervals are not claimed as infinitely visited except through the containing open intervals, and the conclusion is about the unboundedness of the visit set, not about any integrability of a hitting time; the first visit of a fixed level is the almost-sure finiteness proved in [F1]. AC is used only through [F6].
Source notes
On the source side, Sousi, Section 6.7, proves one-dimensional recurrence from the almost-sure finiteness of hitting times together with the restart argument, and Durrett, Section 7.4, records the same consequence. The statement here is the neighbourhood form actually consumed by the planar example on the companion page, which contrasts it with the polarity of single points in the plane.
Depends on
- Future-path Markov property
- One-dimensional Brownian motion hits every point almost surely
- Brownian motion
- Natural and usual augmented Brownian filtrations
- The rationals embed densely in the reals
- Basic identities for a probability measure
- Conditional expectation as an ae class
- Conditional expectation is unique almost surely
- The Axiom of Choice
Used by
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Sources
- Perla Sousi, Advanced Probability, Section 6.7 (standard reference, not scraped)
- Rick Durrett, Probability: Theory and Examples, fifth edition, Section 7.4 (standard reference, not scraped)