The Random $$(n-k)$$ ( n - k ) -Cycle to Transpositions Walk on the Symmetric Group

Alperen Y. Özdemir ()
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Alperen Y. Özdemir: University of Southern California

Journal of Theoretical Probability, 2019, vol. 32, issue 3, 1438-1460

Abstract: Abstract We study the rate of convergence of the Markov chain on $$S_n$$ S n which starts with a random $$(n-k)$$ ( n - k ) -cycle for a fixed $$k \ge 1$$ k ≥ 1 , followed by random transpositions. The convergence to the stationary distribution turns out to be of order n. We show that after $$cn + \frac{\ln k}{2}n$$ c n + ln k 2 n steps for $$c>0$$ c > 0 , the law of the Markov chain is close to the uniform distribution. The character of the defining representation is used as test function to obtain a lower bound for the total variation distance. We identify the asymptotic distribution of the test function given the law of the Markov chain for the $$(n-1)$$ ( n - 1 ) -cycle case. The upper bound relies on estimates for the difference of normalized characters.

Keywords: Markov chain; Convergence rate; Symmetric group; Defining representation; Asymptotic distribution; Murnaghan–Nakayama Rule; 60C05 (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1007/s10959-018-0826-0

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