中文
相关论文

相关论文: Geometric Bounds on the Fastest Mixing Markov Chai…

200 篇论文

Mixing of finite time-homogeneous Markov chains is well understood nowadays, with a rich set of techniques to estimate their mixing time. In this paper, we study the mixing time of random walks in dynamic random environments. To that end,…

概率论 · 数学 2023-09-27 Raphael Erb

In a series of recent works, Boyd, Diaconis, and their co-authors have introduced a semidefinite programming approach for computing the fastest mixing Markov chain on a graph of allowed transitions, given a target stationary distribution.…

概率论 · 数学 2011-09-07 S. Roch

We give a new rapid mixing result for a natural random walk on the independent sets of a graph $G$. We show that when $G$ has bounded treewidth, this random walk -- known as the Glauber dynamics for the hardcore model -- mixes rapidly for…

数据结构与算法 · 计算机科学 2023-10-03 David Eppstein , Daniel Frishberg

We study the mixing time of random graphs in the $d$-dimensional toric unit cube $[0,1]^d$ generated by the geographical threshold graph (GTG) model, a generalization of random geometric graphs (RGG). In a GTG, nodes are distributed in a…

概率论 · 数学 2011-09-21 Andrew Beveridge , Milan Bradonjić

The switch chain is a well-known Markov chain for sampling directed graphs with a given degree sequence. While not ergodic in general, we show that it is ergodic for regular degree sequences. We then prove that the switch chain is rapidly…

组合数学 · 数学 2011-10-17 Catherine Greenhill

We show how to exploit symmetries of a graph to efficiently compute the fastest mixing Markov chain on the graph (i.e., find the transition probabilities on the edges to minimize the second-largest eigenvalue modulus of the transition…

概率论 · 数学 2009-06-17 Stephen Boyd , Persi Diaconis , Pablo A. Parrilo , Lin Xiao

Given a graph $G$, the hard-core model defines a probability distribution over its independent sets, assigning to each set of size $k$ a probability of $\frac{\lambda^k}{Z}$, where $\lambda>0$ is a parameter known as the \emph{fugacity} and…

数据结构与算法 · 计算机科学 2025-11-24 Malory Marin

Since 1997 a considerable effort has been spent to study the mixing time of switch Markov chains on the realizations of graphic degree sequences of simple graphs. Several results were proved on rapidly mixing Markov chains on unconstrained,…

We introduce a Markov chain for sampling from the uniform distribution on a Riemannian manifold $\mathcal{M}$, which we call the $\textit{geodesic walk}$. We prove that the mixing time of this walk on any manifold with positive sectional…

概率论 · 数学 2017-11-28 Oren Mangoubi , Aaron Smith

A mixed graph $G$ is a graph that consists of both undirected and directed edges. An orientation of $G$ is formed by orienting all the undirected edges of $G$, i.e., converting each undirected edge $\{u,v\}$ into a directed edge that is…

数据结构与算法 · 计算机科学 2024-04-15 Loukas Georgiadis , Dionysios Kefallinos , Evangelos Kosinas

The mixer chain on a graph G is the following Markov chain. Place tiles on the vertices of G, each tile labeled by its corresponding vertex. A "mixer" moves randomly on the graph, at each step either moving to a randomly chosen neighbor, or…

概率论 · 数学 2009-01-13 Ariel Yadin

Given a discrete source distribution $\mu$ and discrete target distribution $\nu$ on a common finite state space $\mathcal{X}$, we are tasked with transporting $\mu$ to $\nu$ using a given discrete-time Markov chain $X$ with the quickest…

概率论 · 数学 2018-07-23 Michael C. H. Choi

Cheeger's inequality shows that any undirected graph $G$ with minimum nonzero normalized Laplacian eigenvalue $\lambda_G$ has a cut with conductance at most $O(\sqrt{\lambda_G})$. Qualitatively, Cheeger's inequality says that if the…

离散数学 · 计算机科学 2018-11-28 Aaron Schild

We introduce a unified operator-theoretic framework for analyzing mixing times of finite-state ergodic Markov chains that applies to both reversible and non-reversible dynamics. The central object in our analysis is the projected transition…

概率论 · 数学 2025-11-05 Muhammad Abdullah Naeem

A random walk is a basic stochastic process on graphs and a key primitive in the design of distributed algorithms. One of the most important features of random walks is that, under mild conditions, they converge to a stationary distribution…

概率论 · 数学 2020-06-19 Leran Cai , Thomas Sauerwald , Luca Zanetti

We study the mixing properties of the single-site Markov chain known as the Glauber dynamics for sampling $k$-colorings of a sparse random graph $G(n,d/n)$ for constant $d$. The best known rapid mixing results for general graphs are in…

离散数学 · 计算机科学 2017-07-13 Charilaos Efthymiou , Thomas P. Hayes , Daniel Stefankovic , Eric Vigoda

We give a new method for analysing the mixing time of a Markov chain using path coupling with stopping times. We apply this approach to two hypergraph problems. We show that the Glauber dynamics for independent sets in a hypergraph mixes…

概率论 · 数学 2007-05-23 Magnus Bordewich , Martin Dyer , Marek Karpinski

Quantum walks on graphs have been shown in certain cases to mix quadratically faster than their classical counterparts. Lifted Markov chains, consisting of a Markov chain on an extended state space which is projected back down to the…

量子物理 · 物理学 2018-03-22 Danial Dervovic

We provide a general framework for computing upper bounds on mixing times of finite Markov chains when its minimal ideal is left zero. Our analysis is based on combining results by Brown and Diaconis with our previous work on stationary…

概率论 · 数学 2023-01-04 John Rhodes , Anne Schilling

We show that a new probabilistic technique, recently introduced by the first author, yields the sharpest bounds obtained to date on mixing times of Markov chains in terms of isoperimetric properties of the state space (also known as…

概率论 · 数学 2007-05-23 Ben Morris , Yuval Peres
‹ 上一页 1 2 3 10 下一页 ›