Papers
Topics
Authors
Recent
AI Research Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 81 tok/s
Gemini 2.5 Pro 42 tok/s Pro
GPT-5 Medium 23 tok/s Pro
GPT-5 High 20 tok/s Pro
GPT-4o 103 tok/s Pro
Kimi K2 188 tok/s Pro
GPT OSS 120B 454 tok/s Pro
Claude Sonnet 4 38 tok/s Pro
2000 character limit reached

On the spectral radius of the $(L,κ)$-lazy Markov chain (2303.01270v1)

Published 2 Mar 2023 in math.PR

Abstract: We consider an $(L,\kappa)$-lazy operation on an irreducible Markov transition probability $P$ with state space $S$ where $L \subset S$ and $\kappa\in[0,1)$. For each $x \in L$ and $y\in S$, this $(L,\kappa)$-operation replaces $P(x,y)$, the transition probability from $x$ to $y$, by $\kappa 1_{{x=y}} + (1-\kappa)P(x,y)$. We are interested in how $L$ and $\kappa$ influence the spectral radius $\rhoL_\kappa$ of this new transition probability. We first show that $\rhoL_\kappa$ is non-decreasing and continuous in $\kappa$. We then show that: (1) If $L$ is nonempty and finite, then $P$ being rho-transient is equivalent to that the growth of $\displaystyle (\rhoL_\kappa)_{\kappa\in[0,1)}$ exhibits a phase transition: There exists a critical value $\kappa_c(L) \in (0,1)$ such that $\kappa \mapsto \rhoL_\kappa$ is a constant on $[0,\kappa_c(L)]$ and increases strictly on $[\kappa_c(L),1)$; (2) For every $\kappa\in(0,1)$, if $S\setminus L$ is nonempty and finite, then $\rhoL_\kappa=\rhoS_\kappa$ if and only if $P$ is not strictly rho-recurrent.

Summary

We haven't generated a summary for this paper yet.

Lightbulb On Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

Authors (2)

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.