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Related papers: Determinantal Formula for Generalized Riffle Shuff…

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This paper studies biased riffle shuffles, first defined by Diaconis, Fill, and Pitman. These shuffles generalize the well-studied Gilbert-Shannon-Reeds shuffle and convolve nicely. An upper bound is given for the time for these shuffles to…

Combinatorics · Mathematics 2007-05-23 Jason Fulman

We study the cutoff phenomenon for generalized riffle shuffles where, at each step, the deck of cards is cut into a random number of packs of multinomial sizes which are then riffled together.

Probability · Mathematics 2007-05-23 Guan-Yu Chen , Laurent Saloff-Coste

This paper studies statistics of riffle shuffles by relating them to random word statistics with the use of inverse shuffles. Asymptotic normality of the number of descents and inversions in riffle shuffles with convergence rates of order…

Combinatorics · Mathematics 2013-03-12 Umit Islak

We study how many riffle shuffles are required to mix n cards if only certain features of the deck are of interest, e.g. suits disregarded or only the colors of interest. For these features, the number of shuffles drops from 3/2 log_2(n) to…

Probability · Mathematics 2020-03-05 Sami Assaf , Persi Diaconis , K. Soundararajan

Type A affine shuffles are compared with riffle shuffles followed by a cut. Although these probability measures on the symmetric group S_n are different, they both satisfy a convolution property. Strong evidence is given that when the…

Combinatorics · Mathematics 2007-05-23 Jason Fulman

A Gilbert-Shannon-Reeds (GSR) shuffle is performed on a deck of $N$ cards by cutting the top $n\sim Bin(N,1/2)$ cards and interleaving the two resulting piles uniformly at random. The celebrated "Seven shuffles suffice" theorem of…

Probability · Mathematics 2025-10-28 Mark Sellke , Jialu Shi , Jiamin Wang

In this expository article, we highlight the direct connection between card shuffling and the functions known as $P$-partitions that come from algebraic combinatorics. While many (but not all) of the results we discuss are known, we give a…

Combinatorics · Mathematics 2021-04-28 Jason Fulman , T. Kyle Petersen

For positive integers $k$ and $n$, the shuffle group $G_{k,kn}$ is generated by the $k!$ permutations of a deck of $kn$ cards performed by cutting the deck into $k$ piles with $n$ cards in each pile, and then perfectly interleaving these…

Group Theory · Mathematics 2024-12-11 Binzhou Xia , Junyang Zhang , Zhishuo Zhang , Wenying Zhu

We introduce a new type of card shuffle called one-sided transpositions. At each step a card is chosen uniformly from the pack and then transposed with another card chosen uniformly from below it. This defines a random walk on the symmetric…

Probability · Mathematics 2020-06-23 Michael E. Bate , Stephen B. Connor , Oliver Matheau-Raven

We prove limit theorems for the number of fixed points, descents, and inversions of iterated random-to-top shuffles in two asymptotic regimes. Our proofs are analytic, and they utilize new combinatorial decompositions that represent each…

Probability · Mathematics 2026-04-10 Alexander Clay

Define a permutation to be any sequence of distinct positive integers. Given two permutations p and s on disjoint underlying sets, we denote by p sh s the set of shuffles of p and s (the set of all permutations obtained by interleaving the…

Combinatorics · Mathematics 2019-06-19 Duff Baker-Jarvis , Bruce Sagan

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 $1\leq i\leq n$. We call this the flip-transpose top with random shuffle on $B_n$. We find the spectrum…

Probability · Mathematics 2021-05-03 Subhajit Ghosh

Generalized splines on a graph $G$ with edge labels in a commutative ring $R$ are vertex labelings such that if two vertices share an edge in $G$, the difference between the vertex labels lies in the ideal generated by the edge label. When…

Commutative Algebra · Mathematics 2022-08-30 Lauren L. Rose , Kariane Calta

The Fisher-Yates shuffle is a well-known algorithm for shuffling a finite sequence, such that every permutation is equally likely. Despite its simplicity, it is prone to implementation errors that can introduce bias into the generated…

Cryptography and Security · Computer Science 2025-01-13 Stefan Zetzsche , Jean-Baptiste Tristan , Tancrede Lepoint , Mikael Mayer

We consider the totally asymmetric exclusion process on a ring in discrete time with the backward-ordered sequential update and particle-dependent hopping probabilities. Using a combinatorial treatment of the Bethe ansatz, we derive the…

Statistical Mechanics · Physics 2008-07-02 V. S. Poghosyan , V. B. Priezzhev

We study the Gilbert-Shannon-Reeds model for riffle shuffles and ask 'How many times must a deck of cards be shuffled for the deck to be in close to random order?'. In 1992, Bayer and Diaconis gave a solution which gives exact and…

Combinatorics · Mathematics 2009-05-29 Sami Assaf , Persi Diaconis , K. Soundararajan

Divide a deck of $kn$ cards into $k$ equal piles and place them from left to right. The standard shuffle $\sigma$ is performed by picking up the top cards one by one from left to right and repeating until all cards have been picked up. For…

Combinatorics · Mathematics 2023-07-28 Junyang Zhang

Consider an inhomogeneous multi-species TASEP with drift to the left, and define a height function which equals the maximum species number to the left of a lattice site. For each fixed time, the multi-point distributions of these height…

Probability · Mathematics 2020-12-17 Jeffrey Kuan

By a well-known result of Bayer and Diaconis, the maximum entropy model of the common riffle shuffle implies that the number of riffle shuffles necessary to mix a standard deck of 52 cards is either 7 or 11--with the former number applying…

Probability · Mathematics 2007-05-23 Mark Conger , D. Viswanath

The finite symmetric group S_n provides a natural domain for permutations, yet learning probability distributions on S_n is challenging due to its factorially growing size and discrete, non-Euclidean structure. Recent permutation diffusion…

Machine Learning · Computer Science 2026-03-19 Sizhuang He , Yangtian Zhang , Shiyang Zhang , David van Dijk
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