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Record Nr. |
UNINA9910437916603321 |
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Autore |
Leoncini Xavier |
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Titolo |
From Hamiltonian chaos to complex systems : a nonlinear physics approach / / Xavier Leoncini |
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Pubbl/distr/stampa |
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New York, : Springer, 2013 |
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ISBN |
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Edizione |
[1st ed. 2013.] |
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Descrizione fisica |
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1 online resource (335 p.) |
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Collana |
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Nonlinear systems and complexity |
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Disciplina |
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Soggetti |
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Statistical physics |
Hamiltonian systems |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Describing Plasma dynamics with finite dimensional Hamiltonian systems -- Some experiments with soap films and soap bubbles -- Transport properties in a model of supersolid -- Directed transport in a spatially periodic potential under periodic non-biased forcing -- Nonlinear propagation of a driven electron plasma wave and self-organization of stimulated Raman scattering -- Stochastic patterns formation and diffusion -- Propagation of information on undirected dependency graphs and related inverse problem for road traffic inference -- Stochastic solutions of nonlinear pde's: McKean versus superprocesses -- Challenges and Recent Advances in Heat Transport Modelling for ITER -- Front propagation manifolds in advection-reaction-diffusion processes -- Stress defocusing in elastic sheets by anisotropic compaction -- Weak chaos, infinite ergodic theory, and anomalous diffusion -- Finite time dynamics -- Dynamics of a model of red blood cell and implication to rheology. |
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Sommario/riassunto |
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From Hamiltonian Chaos to Complex Systems: A Nonlinear Physics Approach collects contributions on recent developments in non-linear dynamics and statistical physics with an emphasis on complex systems. This book provides a wide range of state-of-the-art research in these fields. The unifying aspect of this book is a demonstration of how similar tools coming from dynamical systems, nonlinear physics, and statistical dynamics can lead to a large panorama of research in various fields of physics and beyond, most notably with the perspective |
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