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|a 9783030021078
|9 978-3-030-02107-8
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|a 10.1007/978-3-030-02107-8
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|a Jeffrey, Mike R.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Hidden Dynamics
|h [electronic resource] :
|b The Mathematics of Switches, Decisions and Other Discontinuous Behaviour /
|c by Mike R. Jeffrey.
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|a 1st ed. 2018.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2018.
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|a XVIII, 521 p. 286 illus., 75 illus. in color.
|b online resource.
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|a text
|b txt
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|a computer
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|b PDF
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|a Preface -- Chapter Outline -- Chapter 1- Origins of Discontinuity -- Chapter 2- One switch in the Plane: A Primer -- Chapter 3- The Vector Field: Multipliers & Combinations -- Chapter 4- The Flow: Types of Solution -- Chapter 5- The Vector Field Canopy -- Chapter 6- Tangencies: The Shape of the Discontinuity Surface -- Chapter 7- Layer Analysis -- Chapter 8- Linear Switching (Local Theory) -- Chapter 9- Nonlinear Switching (Local Theory) -- Chapter 10- Breaking Determinacy -- Chapter11- Global Bifurcations & Explosions -- Chapter 12- Asymptotics of Switching: Smoothing & Other Perturbations -- Chapter 13- Four Obsessions of the Two-Fold Singularity -- Chapter 14- Applications from Physics, Biology, and Climate -- Appendix A- Discontinuity as an Asymptotic Phenomenon - Examples -- Appendix B- A Few Words from Filippov & Others, Moscow 1960 -- Exercises -- Bibliography -- Glossary.
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|a The dream of mathematical modeling is of systems evolving in a continuous, deterministic, predictable way. Unfortunately continuity is lost whenever the `rules of the game' change, whether a change of behavioural regime, or a change of physical properties. From biological mitosis to seizures. From rattling machine parts to earthquakes. From individual decisions to economic crashes. Where discontinuities occur, determinacy is inevitably lost. Typically the physical laws of such change are poorly understood, and too ill-defined for standard mathematics. Discontinuities offer a way to make the bounds of scientific knowledge a part of the model, to analyse a system with detail and rigour, yet still leave room for uncertainty. This is done without recourse to stochastic modeling, instead retaining determinacy as far as possible, and focussing on the geometry of the many outcomes that become possible when it breaks down. In this book the foundations of `piecewise-smooth dynamics' theory are rejuvenated, given new life through the lens of modern nonlinear dynamics and asymptotics. Numerous examples and exercises lead the reader through from basic to advanced analytical methods, particularly new tools for studying stability and bifurcations. The book is aimed at scientists and engineers from any background with a basic grounding in calculus and linear algebra. It seeks to provide an invaluable resource for modeling discontinuous systems, but also to empower the reader to develop their own novel models and discover as yet unknown phenomena.
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|a Dynamics.
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|a Ergodic theory.
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|a Dynamical Systems and Ergodic Theory.
|0 http://scigraph.springernature.com/things/product-market-codes/M1204X
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9783030021061
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|i Printed edition:
|z 9783030021085
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|u https://doi.org/10.1007/978-3-030-02107-8
|z Full Text via HEAL-Link
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|a ZDB-2-SMA
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|a Mathematics and Statistics (Springer-11649)
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