Computing an expected hitting time for the 3-urn Ehrenfest model via electric networks

2017 ◽  
Vol 127 ◽  
pp. 42-48 ◽  
Author(s):  
Yung-Pin Chen ◽  
Isaac H. Goldstein ◽  
Eve D. Lathrop ◽  
Roger B. Nelsen
2012 ◽  
Vol 239-240 ◽  
pp. 1511-1515 ◽  
Author(s):  
Jing Jiang ◽  
Li Dong Meng ◽  
Xiu Mei Xu

The study on convergence of GA is always one of the most important theoretical issues. This paper analyses the sufficient condition which guarantees the convergence of GA. Via analyzing the convergence rate of GA, the average computational complexity can be implied and the optimization efficiency of GA can be judged. This paper proposes the approach to calculating the first expected hitting time and analyzes the bounds of the first hitting time of concrete GA using the proposed approach.


2008 ◽  
Vol 40 (4) ◽  
pp. 966-978
Author(s):  
Archis Ghate

We build a family of Markov chains on a sphere using distance-based long-range connection probabilities to model the decentralized message-passing problem that has recently gained significant attention in the small-world literature. Starting at an arbitrary source point on the sphere, the expected message delivery time to an arbitrary target on the sphere is characterized by a particular expected hitting time of our Markov chains. We prove that, within this family, there is a unique efficient Markov chain whose expected hitting time is polylogarithmic in the relative size of the sphere. For all other chains, this expected hitting time is at least polynomial. We conclude by defining two structural properties, called scale invariance and steady improvement, of the probability density function of long-range connections and prove that they are sufficient and necessary for efficient decentralized message delivery.


2017 ◽  
Vol 49 (12) ◽  
pp. 1112-1128 ◽  
Author(s):  
Jorge A. Sefair ◽  
J. Cole Smith ◽  
Miguel A. Acevedo ◽  
Robert J. Fletcher

2008 ◽  
Vol 40 (04) ◽  
pp. 966-978
Author(s):  
Archis Ghate

We build a family of Markov chains on a sphere using distance-based long-range connection probabilities to model the decentralized message-passing problem that has recently gained significant attention in the small-world literature. Starting at an arbitrary source point on the sphere, the expected message delivery time to an arbitrary target on the sphere is characterized by a particular expected hitting time of our Markov chains. We prove that, within this family, there is a unique efficient Markov chain whose expected hitting time is polylogarithmic in the relative size of the sphere. For all other chains, this expected hitting time is at least polynomial. We conclude by defining two structural properties, called scale invariance and steady improvement, of the probability density function of long-range connections and prove that they are sufficient and necessary for efficient decentralized message delivery.


2021 ◽  
Vol 11 (04) ◽  
pp. 472-476
Author(s):  
春雨 孙

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