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Unique ergodicity of simple symmetric random walks on the circle
Dynamical Systems · Submitted 4 Jan 2023
abstract compiled · 2026-09-23 · no language-model review
The authors' main claim In this note we present a new proof of latter result.
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The abstract, sentence by sentence
Fix an irrational number $\alpha$ and a smooth, positive, real function $\mathfrak{p}$ on the circle. If current position is $x\in \mathbb R/\mathbb Z$ then in the next step jump to $x+\alpha$ with probability $\mathfrak{p}(x)$ or to $x-\alpha$ with probability $1-\mathfrak{p}(x)$. In 1999 Sinai has proven that if $\mathfrak{p}$ is asymmetric (in certain sense) or $\alpha$ is Diophantine then the Markov process possesses a unique stationary distribution. Next year Conze and Guivarc'h showed the uniqueness of stationary distribution for an arbitrary irrational angle $\alpha$. In this note we present a new proof of latter result.
background contribution method result interpretation main claim
| # | sentence | role | the authors' own work | states the main conclusion | strength |
|---|---|---|---|---|---|
| s0 | Fix an irrational number $\alpha$ and a smooth, positive, real function $\mathfrak{p}$ on the circle. | background 0.78 | 0.19 | 0.02 | unclear 0.61 |
| s1 | If current position is $x\in \mathbb R/\mathbb Z$ then in the next step jump to $x+\alpha$ with probability $\mathfrak{p}(x)$ or to $x-\alpha$ with probability $1-\mathfrak{p}(x)$. | background 0.51 | 0.07 | 0.02 | asserted 0.95 |
| s2 | In 1999 Sinai has proven that if $\mathfrak{p}$ is asymmetric (in certain sense) or $\alpha$ is Diophantine then the Markov process possesses a unique stationary distribution. | background 1.00 | 0.02 | 0.05 | asserted 1.00 |
| s3 | Next year Conze and Guivarc'h showed the uniqueness of stationary distribution for an arbitrary irrational angle $\alpha$. | background 1.00 | 0.03 | 0.11 | asserted 1.00 |
| s4 | In this note we present a new proof of latter result. | contribution 1.00 | 0.91 | 0.31 | asserted 0.99 |
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Original abstract
Fix an irrational number $\alpha$ and a smooth, positive, real function $\mathfrak{p}$ on the circle. If current position is $x\in \mathbb R/\mathbb Z$ then in the next step jump to $x+\alpha$ with probability $\mathfrak{p}(x)$ or to $x-\alpha$ with probability $1-\mathfrak{p}(x)$. In 1999 Sinai has proven that if $\mathfrak{p}$ is asymmetric (in certain sense) or $\alpha$ is Diophantine then the Markov process possesses a unique stationary distribution. Next year Conze and Guivarc'h showed the uniqueness of stationary distribution for an arbitrary irrational angle $\alpha$. In this note we present a new proof of latter result.
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