Atnaujinkite slapukų nuostatas

Polynomials, Dynamics, and Choice: The Price We Pay for Symmetry [Minkštas viršelis]

  • Formatas: Paperback / softback, 169 pages, aukštis x plotis: 234x156 mm, weight: 400 g, 18 Tables, black and white; 49 Line drawings, color; 9 Line drawings, black and white; 49 Illustrations, color; 9 Illustrations, black and white
  • Išleidimo metai: 23-Aug-2022
  • Leidėjas: Chapman & Hall/CRC
  • ISBN-10: 0367564939
  • ISBN-13: 9780367564933
Kitos knygos pagal šią temą:
  • Formatas: Paperback / softback, 169 pages, aukštis x plotis: 234x156 mm, weight: 400 g, 18 Tables, black and white; 49 Line drawings, color; 9 Line drawings, black and white; 49 Illustrations, color; 9 Illustrations, black and white
  • Išleidimo metai: 23-Aug-2022
  • Leidėjas: Chapman & Hall/CRC
  • ISBN-10: 0367564939
  • ISBN-13: 9780367564933
Kitos knygos pagal šią temą:
Working out solutions to polynomial equations is a mathematical problem that dates from antiquity. Galois developed a theory in which the obstacle to solving a polynomial equation is an associated collection of symmetries. Obtaining a root requires "breaking" that symmetry. When the degree of an equation is at least five, Galois Theory established that there is no formula for the solutions like those found in lower degree cases. However, this negative result doesn't mean that the practice of equation-solving ends. In a recent breakthrough, Doyle and McMullen devised a solution to the fifth-degree equation that uses geometry, algebra, and dynamics to exploit icosahedral symmetry.

Polynomials, Dynamics, and Choice: The Price We Pay for Symmetry is organized in two parts, the first of which develops an account of polynomial symmetry that relies on considerations of algebra and geometry. The second explores beyond polynomials to spaces consisting of choices ranging from mundane decisions to evolutionary algorithms that search for optimal outcomes. The two algorithms in Part I provide frameworks that capture structural issues that can arise in deliberative settings. While decision-making has been approached in mathematical terms, the novelty here is in the use of equation-solving algorithms to illuminate such problems.

Features











Treats the topicfamiliar to manyof solving polynomial equations in a way thats dramatically different from what they saw in school Accessible to a general audience with limited mathematical background Abundant diagrams and graphics.

Recenzijos

This book would make a good independent study text for an advanced undergraduate or could be used in an introduction to geometry or dynamics graduate course. Alternatively, a group of graduate students could work through the book as part of a reading group, seminar, or independent study, especially if they use the works cited to recreate the algorithms.

AMS Notices Bookshelf

List of Figures
xi
List of Tables
xiii
Preface: Motivation xv
Acknowledgments xix
Section I Polynomials: Symmetries and Solutions
Chapter 1 Solving Equations: A Fundamental Problem
3(10)
1.1 Polynomial Primer
3(3)
1.2 What Numbers Do We Use?
6(3)
1.3 Roots And Coefficients
9(4)
Chapter 2 What Is Symmetry?
13(24)
2.1 Mirrors And Reflections
13(3)
2.2 Mathematical Symmetry
16(1)
2.3 Exploring Geometric Symmetry
17(3)
2.4 Groups In The Abstract
20(2)
2.5 Posing And Solving Problems With Symmetry
22(3)
2.6 Structure In The Abstract
25(1)
2.7 A Look At Higher Dimensions
26(1)
2.8 What Is Geometry?
27(3)
2.9 Molecular Symmetry
30(1)
2.10 Conservation Laws
31(2)
2.11 Thermodynamic Systems
33(4)
Chapter 3 Geometry Of Choice: Symmetry's Cost
37(6)
3.1 Spaces Where The Roots Live
37(1)
3.2 Shuffling Roots And Solving Equations
38(5)
Chapter 4 Compute First, Then Choose
43(14)
4.1 Simplifying A Polynomial
43(5)
4.2 Solutions From A Formula And A Choice
48(3)
4.3 Reducing A Polynomial's Symmetry
51(3)
4.4 What Goes Wrong
54(3)
Chapter 5 Choose First, Then Compute
57(56)
5.1 A Line That Becomes A Sphere
57(2)
5.2 Symmetrical Structures
59(12)
5.3 Fundamentals Of Dynamics
71(13)
5.4 Dynamical Geometry And Symmetry
84(14)
5.5 Solving Equations By Iteration
98(15)
Section II Beyond Equations
Chapter 6 Interlude: Modeling Choice
113(2)
Chapter 7 Learning To Choose
115(14)
7.1 Making Rational Decisions
115(6)
7.2 The Heart Has Its Reasons
121(4)
7.3 Give Chance A Choice
125(4)
Chapter 8 Choosing To Learn
129(28)
8.1 A Crowd Decides
129(5)
8.2 When In Doubt, Simulate
134(6)
8.3 Give Choice A Chance
140(17)
Chapter 9 Conclusion: The Price We Pay For Symmetry
157(6)
9.1 Symmetry, More Or Less
157(1)
9.2 Choosing As Metaphor
158(2)
9.3 Random Choice Is Unavoidable
160(3)
Bibliography 163(4)
Index 167
Scott Crass is a professor of mathematics at California State University, Long Beach, where he created the Long Beach Project in Geometry and Symmetry. The projects centerpiece is The Geometry Studio, where students explore math in experimental and perceptual ways. Advised by Peter Doyle, his Ph.D. thesis at UCSD was Solving the Sextic by Iteration: A Complex Dynamical Approach. His research interests involve blending the algebra and geometry induced by finite group actions on complex spaces, in an effort to discover and study symmetrical structures and associated dynamical systems. A prominent feature of his work involves using maps with symmetry in order to construct elegant algorithms that home in on a polynomials roots.