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

  • Formatas: Hardback, 169 pages, aukštis x plotis: 234x156 mm, weight: 412 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: 036756520X
  • ISBN-13: 9780367565206
Kitos knygos pagal šią temą:
  • Formatas: Hardback, 169 pages, aukštis x plotis: 234x156 mm, weight: 412 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: 036756520X
  • ISBN-13: 9780367565206
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 equationsolving 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 topic-familiar to many-of solving polynomial equations in a way that's dramatically different from what they saw in school Accessible to a general audience with limited mathematical background Abundant diagrams and graphics"--

This book 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.



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 topic—familiar to many—of solving polynomial equations in a way that’s 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.