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Comparison of Cutoffs Between Lazy Walks and Markovian Semigroups

Published online by Cambridge University Press:  30 January 2018

Guan-Yu Chen*
Affiliation:
National Chiao Tung University
Laurent Saloff-Coste*
Affiliation:
Cornell University
*
Postal address: Department of Applied Mathematics, National Chiao Tung University, Hsinchu 300, Taiwan. Email address: gychen@math.nctu.edu.tw
∗∗ Postal address: Malott Hall, Department of Mathematics, Cornell University, Ithaca, NY 14853-4201. Email address: lsc@math.cornell.edu
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Abstract

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We make a connection between the continuous time and lazy discrete time Markov chains through the comparison of cutoffs and mixing time in total variation distance. For illustration, we consider finite birth and death chains and provide a criterion on cutoffs using eigenvalues of the transition matrix.

Type
Research Article
Copyright
© Applied Probability Trust 

References

Aldous, D. and Diaconis, P. (1987). Strong uniform times and finite random walks. Adv. Appl. Math. 8, 6997.CrossRefGoogle Scholar
Aldous, D. and Fill, J. Reversible Markov Chains and Random Walks on Graphs. Available at http://www. stat.berkeley.edu/users/aldous/RWG/book.html.Google Scholar
Brown, M. and Shao, Y.-S. (1987). Identifying coefficients in the spectral representation for first passage time distributions. Prob. Eng. Inf. Sci. 1, 6974.CrossRefGoogle Scholar
Chen, G.-Y. (2006). The cutoff phenomenon for finite Markov chains. Doctoral Thesis, Cornell University.Google Scholar
Chen, G.-Y. and Saloff-Coste, L. (2008). The cutoff phenomenon for ergodic Markov processes. Electron. J. Prob. 13, 2678.CrossRefGoogle Scholar
Chen, G.-Y. and Saloff-Coste, L. (2013). On the mixing time and spectral gap for birth and death chains. ALEA Lat. Amer. J. Prob. Math. Statist. 10, 293321.Google Scholar
Diaconis, P. (1988). Group Representations in Probability and Statistics. Institute of Mathematical Statistics, Hayward, CA.CrossRefGoogle Scholar
Diaconis, P. (1996). The cutoff phenomenon in finite Markov chains. Proc. Nat. Acad. Sci. USA. 93, 16591664.CrossRefGoogle ScholarPubMed
Diaconis, P. and Saloff-Coste, L. (2006). Separation cut-offs for birth and death chains. Ann. Appl. Prob. 16, 20982122.CrossRefGoogle Scholar
Ding, J., Lubetzky, E. and Peres, Y. (2010). Total variation cutoff in birth-and-death chains. Prob. Theory Relat. Fields 146, 6185.CrossRefGoogle Scholar
Horn, R. A. and Johnson, C. R. (1990). Matrix Analysis. Cambridge University Press.Google Scholar
Levin, D. A., Peres, Y. and Wilmer, E. L. (2009). Markov Chains and Mixing Times. American Mathematical Society, Providence, RI.Google Scholar
Saloff-Coste, L. (1997). Lectures on finite Markov chains. In Lectures on Probability Theory and Statistics (St-Flour, 1996; Lecture Notes Math. 1665), Springer, Berlin, pp. 301413.CrossRefGoogle Scholar