Solutions Manual 2nd Edition
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, COUNTING
Solutions Manual 2nd Edition
Koh Khee Meng
National University of Singapore, Singapore
Tay Eng Guan
Nanyang Technological University, Singapore
World Scientific
NE W J E RSE Y • L O NDO N • SI N GA P O RE • BE IJING • SHA NG HA I • HO N G K O NG • TAIPEI •
C HE NNAI
,Published by
World Scientific Publishing Co. Pte.
Ltd. 5 Toh Tuck Link, Singapore
596224
USA office: 27 Warren Street, Suite 401-402, Hackensack, NJ 07601
UK office: 57 Shelton Street, Covent Garden, London WC2H 9HE
Library of Congress Cataloging-in-Publication Data
Koh, K. M. (Khee Meng), 1944–
Counting : supplementary notes and solutions manual / Koh Khee Meng, Tay Eng
Guan.
p. cm.
Includes bibliographical references.
ISBN 981-256-915-4 (pbk: alk. paper)
1. Combinatorial analysis. 2. Counting. 3. Graph theory. I. Title. II. Tay, Eng Guan,
QA164 .K63 2002 Suppl.
511'.6--dc22 2006049623
British Library Cataloguing-in-Publication Data
A catalogue record for this book is available from the British Library.
Counting: Solutions Manual (2nd
Edition) ISBN: 978-981-4401-
94-4 (pbk)
Copyright © 2013 by World Scientific Publishing Co. Pte. Ltd.
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,Printed in Singapore.
, Preface
Combinatorics is a branch of mathematics dealing with discretely
structured problems. Its scope of study includes selections and
arrangements of objects with prescribed conditions, configurations
involving a set of nodes interconnected by edges (called graphs),
and designs of experimental schemes according to specified rules.
Combinatorial problems and their applications can be found not
only in various branches of mathematics, but also in other
disciplines such as engineering, computer science, operational
research, management sciences and the life sciences. Since
computers require discrete formu- lation of problems,
combinatorial techniques have become essential and powerful
tools for engineers and applied scientists, in particu- lar, in the
area of designing and analysing algorithms for various problems
which range from designing the itineraries for a shipping
company to sequencing the human genome in the life sciences.
The counting problem, which seeks to find out how many
arrange- ments there are in a particular situation, is one of the
basic problems in combinatorics. Counting is used in forensic
science to calculate the probability that a sample of biological
evidence found at the crime scene matches that of a particular
accused person. In Chemistry, Cayley used graphs to count the
number of isomers of saturated hydrocarbons, while Harary and
Read counted the number of cer- tain organic compounds built up
from benzene rings by representing them as configurations of
hexagons joined together along a common edge. In Genetics, by
counting all possibilities for a DNA chain made up of the four
bases, scientists arrive at an astoundingly large number and so are
able to understand the tremendous possible variation in genetic
makeup. Counting has been used as well to study the primary and
secondary structures of RNA.
,v
,vi Counting: Solutions Manual
This book is the essential companion to Counting (2nd Edi-
tion) (World Scientific, 2013), an introduction to combinatorics for
secondary to undergraduate students. The book gives solutions to
the exercises in Counting (2nd Edition). There is often more than
one method to solve a particular problem and the authors have
included alternative solutions whenever they are of interest.
Problems marked with (AIME) are from the American Invita-
tional Mathematics Examination. We would like to express our
grat- itude to Mathematical Association of America for allowing
us to include these problems in the book. Many thanks go to our
col- leagues, Dong Fengming, Ku Cheng Yeaw, Lee Tuo Yeong,
Ng Kah Loon, Toh Pee Choon, Toh Tin Lam and Katherine Goh
for reading through the draft and checking through the solutions
— any mistakes that remain are ours alone.
Koh Khee
Meng Tay Eng
Guan
September 2012
, Contents
Preface v
Notation and Abbreviation ix
Pólya’s Model of Problem Solving 1
1. The Addition Principle 7
2. The Multiplication Principle 15
3. Subsets and Arrangements 23
4. Applications 29
5. The Bijection Principle 41
6. Distribution of Balls into Boxes 51
7. More Applications of (BP) 55
8. Distribution of Distinct Objects into Distinct Boxes 65
9. Other Variations of the Distribution Problem 69
10. The Binomial Expansion 75
11. Some Useful Identities 81
12. Pascal’s Triangle 85
13. The Principle of Inclusion and Exclusion 91
14. General Statement of the Principle of Inclusion
and Exclusion 97
vii