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Let ${G_n}_{1}^{infty}$ be a sequence of non-trivial finite groups, and $widehat{G}_n$ denote the set of all non-isomorphic irreducible representations of $G_n$. In this paper, we study the properties of a random walk on the complete monomial group $G_nwr S_n$ generated by the elements of the form $(text{e},dots,text{e},g;text{id})$ and $(text{e},dots,text{e},g^{-1},text{e},dots,text{e},g;(i,n))$ for $gin G_n,;1leq i< n$. We call this the warp-transpose top with random shuffle on $G_nwr S_n$. We find the spectrum of the transition probability matrix for this shuffle. We prove that the mixing time for this shuffle is $Oleft(nlog n+frac{1}{2}nlog (|G_n|-1)right)$. We show that this shuffle presents $ell^2$-pre-cutoff at $nlog n+frac{1}{2}nlog (|G_n|-1)$. We also show that this shuffle exhibits $ell^2$-cutoff phenomenon with cutoff time $nlog n+frac{1}{2}nlog (|G_n|-1)$ if $|widehat{G}_n|=o(|G_n|^{delta}n^{2+delta})$ for all $delta>0$. We prove that this shuffle has total variation cutoff at $nlog n+frac{1}{2}nlog (|G_n|-1)$ if $|G_n|=o(n^{delta})$ for all $delta>0$.
We consider a random walk on the hyperoctahedral group $B_n$ generated by the signed permutations of the forms $(i,n)$ and $(-i,n)$ for $1leq ileq n$. We call this the flip-transpose top with random shuffle on $B_n$. We find the spectrum of the trans
In this paper, we investigate the properties of a random walk on the alternating group $A_n$ generated by $3$-cycles of the form $(i,n-1,n)$ and $(i,n,n-1)$. We call this the transpose top-$2$ with random shuffle. We find the spectrum of the transiti
This article generalizes the small noise cutoff phenomenon to the strong solutions of the stochastic heat equation and the damped stochastic wave equation over a bounded domain subject to additive and multiplicative Wiener and Levy noises in the Wass
We prove a conjecture raised by the work of Diaconis and Shahshahani (1981) about the mixing time of random walks on the permutation group induced by a given conjugacy class. To do this we exploit a connection with coalescence and fragmentation proce
Given a continuous time Markov Chain ${q(x,y)}$ on a finite set $S$, the associated noisy voter model is the continuous time Markov chain on ${0,1}^S$, which evolves in the following way: (1) for each two sites $x$ and $y$ in $S$, the state at site $