SoftcoverISBN:  9781470463038 
Product Code:  MBK/146 
List Price:  $79.00 
MAA Member Price:  $71.10 
AMS Member Price:  $63.20 
Sale Price:  $47.40 
eBookISBN:  9781470472900 
Product Code:  MBK/146.E 
List Price:  $79.00 
MAA Member Price:  $71.10 
AMS Member Price:  $63.20 
Sale Price:  $47.40 
SoftcoverISBN:  9781470463038 
eBookISBN:  9781470472900 
Product Code:  MBK/146.B 
List Price:  $158.00$118.50 
MAA Member Price:  $142.20$106.65 
AMS Member Price:  $126.40$94.80 
Sale Price:  $94.80$71.10 
Softcover ISBN:  9781470463038 
Product Code:  MBK/146 
List Price:  $79.00 
MAA Member Price:  $71.10 
AMS Member Price:  $63.20 
Sale Price:  $47.40 
eBook ISBN:  9781470472900 
Product Code:  MBK/146.E 
List Price:  $79.00 
MAA Member Price:  $71.10 
AMS Member Price:  $63.20 
Sale Price:  $47.40 
Softcover ISBN:  9781470463038 
eBookISBN:  9781470472900 
Product Code:  MBK/146.B 
List Price:  $158.00$118.50 
MAA Member Price:  $142.20$106.65 
AMS Member Price:  $126.40$94.80 
Sale Price:  $94.80$71.10 

Book Details2023; 346 ppMSC: Primary 05; 60;
This book gives a lively development of the mathematics needed to answer the question, “How many times should a deck of cards be shuffled to mix it up?” The shuffles studied are the usual ones that real people use: riffle, overhand, and smooshing cards around on the table.
The mathematics ranges from probability (Markov chains) to combinatorics (symmetric function theory) to algebra (Hopf algebras). There are applications to magic tricks and gambling along with a careful comparison of the mathematics to the results of real people shuffling real cards. The book explores links between shuffling and higher mathematics—Lie theory, algebraic topology, the geometry of hyperplane arrangements, stochastic calculus, number theory, and more. It offers a useful springboard for seeing how probability theory is applied and leads to many corners of advanced mathematics.
The book can serve as a text for an upper division course in mathematics, statistics, or computer science departments and will be appreciated by graduate students and researchers in mathematics, statistics, and computer science, as well as magicians and people with a strong background in mathematics who are interested in games that use playing cards.ReadershipGraduate students and researchers interested in applications of mathematics to card shuffling.

Table of Contents

Chapters

Shuffling cards: An introduction

Practice and history of shuffling cards

Convergence rates for riffle shuffles

Features

Eigenvectors and Hopf algebras

Shuffling and carries

Different models for riffle shuffling

Move to front shuffling and variations

Shuffling and geometry

Shuffling and algebraic topology

Type B shuffles and shelf shuffling machines

Descent algebras, $P$partitions, and quasisymmetric functions

Overhand shuffling

“Smoosh” shuffle

How to shuffle perfectly (randomly)

Applications to magic tricks, traffic merging, and statistics

Shuffling and multiple zeta values


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This book gives a lively development of the mathematics needed to answer the question, “How many times should a deck of cards be shuffled to mix it up?” The shuffles studied are the usual ones that real people use: riffle, overhand, and smooshing cards around on the table.
The mathematics ranges from probability (Markov chains) to combinatorics (symmetric function theory) to algebra (Hopf algebras). There are applications to magic tricks and gambling along with a careful comparison of the mathematics to the results of real people shuffling real cards. The book explores links between shuffling and higher mathematics—Lie theory, algebraic topology, the geometry of hyperplane arrangements, stochastic calculus, number theory, and more. It offers a useful springboard for seeing how probability theory is applied and leads to many corners of advanced mathematics.
The book can serve as a text for an upper division course in mathematics, statistics, or computer science departments and will be appreciated by graduate students and researchers in mathematics, statistics, and computer science, as well as magicians and people with a strong background in mathematics who are interested in games that use playing cards.
Graduate students and researchers interested in applications of mathematics to card shuffling.

Chapters

Shuffling cards: An introduction

Practice and history of shuffling cards

Convergence rates for riffle shuffles

Features

Eigenvectors and Hopf algebras

Shuffling and carries

Different models for riffle shuffling

Move to front shuffling and variations

Shuffling and geometry

Shuffling and algebraic topology

Type B shuffles and shelf shuffling machines

Descent algebras, $P$partitions, and quasisymmetric functions

Overhand shuffling

“Smoosh” shuffle

How to shuffle perfectly (randomly)

Applications to magic tricks, traffic merging, and statistics

Shuffling and multiple zeta values