Solutions Manual for Discrete Mathematics 5th Edition by John A. Dossey |All Chapters

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INSTRUCTOR’S
SOLUTIONS MANUAL
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DISCRETE MATHEMATICS
FIFTH EDITION
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John A. Dossey
Illinois State University
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Albert D. Otto
Illinois State University

Lawrence E. Spence
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Illinois State University
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Charles Vanden Eynden
Illinois State University
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Provided by Pearson Addison-Wesley from electronic files supplied by the author.
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Copyright © 2006 Pearson Education, Inc.
Publishing as Pearson Addison-Wesley, 75 Arlington Street, Boston, MA 02116.

All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or trans-
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mitted, in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, with-
out the prior written permission of the publisher. Printed in the United States of America.

ISBN 0-321-30516-7
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1 2 3 4 5 6 XXX 08 07 06 05
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Contents
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1 An Introduction to Combinatorial Problems and Techniques 1

1.1 The Time to Complete a Project . . . . . . . . . . . . . . . . . . . . . . . . . 1
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1.2 A Matching Problem . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4
1.3 A Knapsack Problem . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4
1.4 Algorithms and Their Efficiency . . . . . . . . . . . . . . . . . . . . . . . . . 4
Supplementary Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
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2 Sets, Relations, and Functions 6

2.1 Set Operations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6
2.2 Equivalence Relations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7
2.3 Partial Ordering Relations . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8
2.4 Functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10
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2.5 Mathematical Induction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
2.6 Applications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
Supplementary Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12
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3 Coding Theory 14
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3.1 Congruence . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14
3.2 The Euclidean Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15
3.3 The RSA Method . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
3.4 Error-Detecting and Error-Correcting Codes . . . . . . . . . . . . . . . . . . 17
3.5 Matrix Codes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18
3.6 Matrix Codes That Correct All Single-Digit Errors . . . . . . . . . . . . . . . 19
Supplementary Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20
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Table of Contents


4 Graphs 22
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4.1 Graphs and Their Representations . . . . . . . . . . . . . . . . . . . . . . . . 22
4.2 Paths and Circuits . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24
4.3 Shortest Paths and Distance . . . . . . . . . . . . . . . . . . . . . . . . . . . 27
4.4 Coloring a Graph . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28
4.5 Directed Graphs and Multigraphs . . . . . . . . . . . . . . . . . . . . . . . . 30
Supplementary Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34
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5 Trees 36

5.1 Properties of Trees . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36
5.2 Spanning Trees . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38
5.3 Depth-First Search . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40
5.4 Rooted Trees . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42
5.5 Binary Trees and Traversals . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46
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5.6 Optimal Binary Trees and Binary Search Trees . . . . . . . . . . . . . . . . . 51
Supplementary Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60


6 Matching 63
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6.1 Systems of Distinct Representatives . . . . . . . . . . . . . . . . . . . . . . . 63
6.2 Matchings in Graphs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63
6.3 A Matching Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66
6.4 Applications of the Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . 66
6.5 The Hungarian Method . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67
Supplementary Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67
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7 Network Flows 68
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7.1 Flows and Cuts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68
7.2 A Flow Augmentation Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . 70
7.3 The Max-Flow Min-Cut Theorem . . . . . . . . . . . . . . . . . . . . . . . . 73
7.4 Flows and Matchings . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74
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Supplementary Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75
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