Probability theory and stochastic processes Markov processes Theorem
Pólya's recurrence theorem
Builds on Random walkRecurrence and transience of statesMarkov chain
Statement
Let and let be the simple random walk on with : its steps are independent and uniform on the vectors .
- If or , then .
- If , then .
Remarks
The walk is a Markov chain, and the origin is recurrent if and only if . For , , which behaves like . For , , which behaves like , so the sum still diverges. For general , is of order , and the sum converges for . In dimension , the probability of return is about . In dimensions and the walk returns infinitely often, and in dimension it satisfies almost surely.
Going deeper
For a student
The proof reduces recurrence to the divergence of the expected number of returns, which local limit estimates for settle. Another proof views the lattice as an electrical network: the walk is recurrent if and only if the effective resistance from the origin to infinity is infinite. The same dichotomy between and appears for Brownian motion, which is neighbourhood recurrent in the plane and transient in .
Reading path
To understand this page from the ground up, read these 4 pages in order. The foundations come first.
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- no evidence level
- Markov chain concept
- Random walk concept
- Recurrence and transience of states concept
- Pólya's recurrence theorem statement
Further reading
About this page
| Tag | BEQH6AZPYM |
|---|---|
| URI | m2://BEQH6AZPYM |
| Kind | statement, theorem |
| Writing | W0 stub |
| MSC | 60G50, 60J10 |
| Status | This copy of the site has no build data. Run m2 status BEQH6AZPYM. |
| About | Random walk, Recurrence and transience of states |
| Uses | Random walk, Recurrence and transience of states, Markov chain |
| Changed | 2 November 2026 |
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