Mathematics of Elections and Voting

Mathematics of Elections and Voting
W. D. Wallis, W. D. Wallis
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Last edited by MARC Bot
August 8, 2024 | History

Mathematics of Elections and Voting

The Mathematics of Elections and Voting  takes an in-depth look at the mathematics in the context of voting and electoral systems, with focus on simple ballots, complex elections, fairness, approval voting, ties, fair and unfair voting, and manipulation techniques. The exposition opens with a sketch of the mathematics behind the various methods used in conducting elections. The reader is lead to a comprehensive picture of the theoretical background of mathematics and elections through an analysis of Condorcet’s Principle and Arrow’s Theorem of conditions in electoral fairness. Further detailed discussion of various related topics include: methods of manipulating the outcome of an election, amendments, and voting on small committees. In recent years, electoral theory has been introduced into lower-level mathematics courses, as a way to illustrate the role of mathematics in our everyday life.  Few books have studied voting and elections from a more formal mathematical viewpoint.  This text will be useful to those who teach lower level courses or special topics courses and aims to inspire students to understand the more advanced mathematics of the topic. The exercises in this text are ideal for upper undergraduate and early graduate students, as well as those with a keen interest in the mathematics behind voting and elections.

Publish Date
Publisher
Springer
Language
English
Pages
96

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Edition Availability
Cover of: Mathematics of Elections and Voting
Mathematics of Elections and Voting
2014, Springer London, Limited
in English
Cover of: Mathematics of Elections and Voting
Mathematics of Elections and Voting
2014, Springer
in English

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Book Details


Classifications

Library of Congress
QA273.A1-274.9QA274-, QA273.A1-274.9, QA274-274.9

The Physical Object

Number of pages
96
Weight
1.963

Edition Identifiers

Open Library
OL34382925M
ISBN 13
9783319098098

Work Identifiers

Work ID
OL25622261W

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August 8, 2024 Edited by MARC Bot import existing book
October 2, 2021 Created by ImportBot import new book