Mathematics of Politics

Regular price €94.99
A01=Daniel H. Ullman
A01=E. Arthur Robinson
Adams's Method
Adams’s Method
Apportionment Method
Arrow impossibility theorem
Author_Daniel H. Ullman
Author_E. Arthur Robinson
Banzhaf Power
Bismarck Sea
Borda Count
Borda Count Method
Category1=Non-Fiction
Category=JP
Category=NL-JP
Category=NL-PB
Category=PBW
congressional seat allocation
cooperative decision models
COP=United States
Decision Making
Divisor Method
Electoral College
eq_bestseller
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Format=BB
game theory analysis
Hamilton's Method
Hamilton’s Method
Hare Method
Hill's Method
Hill’s Method
HMM=229
IMPN=Productivity Press
ISBN13=9781498798860
Jefferson's Method
Jefferson’s Method
Jr.
Lower Quota
mathematical models of electoral systems
Mathematical reasoning
Monotonicity Criterion
Nash Equilibria
PA=Available
Pareto Criterion
PD=20161114
Political conflict
Politics
POP=Portland
Population Monotone
Preference Ballot
Price=€50 to €100
PS=Active
PUB=Taylor & Francis Inc
Quota Rule
Quota Violation
Saddle Point
Social Choice Function
Standard Divisor
Standard Quota
Subject=Mathematics
Subject=Politics & Government
Voting
Webster's Method
Webster’s Method
weighted voting systems
WG=771
WMM=152
zero-sum strategies

Product details

  • ISBN 9781498798860
  • Weight: 1700g
  • Dimensions: 152 x 229mm
  • Publication Date: 16 Nov 2016
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: Portland, US
  • Product Form: Hardback
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It is because mathematics is often misunderstood, it is commonly

believed it has nothing to say about politics. The high school

experience with mathematics, for so many the lasting impression

of the subject, suggests that mathematics is the study of numbers,

operations, formulas, and manipulations of symbols. Those

believing this is the extent of mathematics might conclude

mathematics has no relevance to politics. This book counters this impression.

The second edition of this popular book focuses on mathematical reasoning

about politics. In the search for ideal ways to make certain kinds

of decisions, a lot of wasted effort can be averted if mathematics can determine that

finding such an ideal is actually impossible in the first place.

In the first three parts of this book, we address the following three

political questions:

(1) Is there a good way to choose winners of elections?

(2) Is there a good way to apportion congressional seats?

(3) Is there a good way to make decisions in situations of conflict and

uncertainty?

In the fourth and final part of this book, we examine the Electoral

College system that is used in the United States to select a president.

There we bring together ideas that are introduced in each of the three

earlier parts of the book.

E. Arthur Robinson, Jr. is a Professor of Mathematics a Professor of mathematics at the George Washington University, where he has been since 1987. Like his coauthor, he was once the department chair. His current research is primarily in the area of dynamical systems theory and discrete geometry. Besides teaching the Mathematics and Politics course, he is teaching a course on Math and Art for the students of the Corcoran School the Arts and Design. Daniel H. Ullman is a Professor of Mathematics at the George Washington University, where he has been since 1985. He holds a Ph.D. from Berkeley and an A.B. from Harvard. He served as chair of the department of mathematics at GW from 2001 to 2006, as the American Mathematical Society Congressional Fellow from 2006 to 2007, and as Associate Dean for Undergraduate Studies in the arts and sciences at GW from 2011 to 2015. He has been an Associate Editor of the American Mathematical Monthly since 1997. He enjoys playing piano, soccer, and Scrabble.