Conceptio › Archive › arXiv (All)
arXiv (All) open access

Conditional Stable Laws and Rare-Event Limits for Absorbing Markov Chains

Cornudella, Bernat Bassols et al.
arXiv (All) · Papers
Open Source ↗Direct PDF ↓
60f05dynamical-systemsprobability
We establish conditional limit theorems, pointwise in the initial state, for absorbing Markov chains on a compact metric space $M$. We assume $L^1(M,ρ)$-continuous transition densities, irreducibility and aperiodicity. For the observable $f_β(x)=d_M(x,x_0)^{-β}$, with suitable $x_0$ satisfying $ρ(B_
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1037182
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive