2017/07/06 by Alperen Y. Özdemir, Özdemir, Alperen Y.
Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · #60C05 #Bayesian Methods and Mixture Models #FOS: Mathematics #Genome Rearrangement Algorithms #Probability (math.PR) #Stochastic processes and statistical mechanics
paper · pdf · doi:10.48550/arxiv.1707.01604
openalex publication_date 2017/07/06 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We study the rate of convergence of the Markov chain on Sn which starts with a random (n-k)-cycle for a fixed k ≥ 1, followed by random transpositions. The convergence to the stationary distribution turns out to be of order n. We show that after cn + (ln k)/(2)n steps for 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)-cycle case. The upper bound relies on estimates for the difference of normalized characters.