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Chaos [[electronic resource] ] : from simple models to complex systems / / Massimo Cencini, Fabio Cecconi, Angelo Vulpiani
| Chaos [[electronic resource] ] : from simple models to complex systems / / Massimo Cencini, Fabio Cecconi, Angelo Vulpiani |
| Autore | Cencini Massimo |
| Pubbl/distr/stampa | Hackensack, N.J., : World Scientific, c2010 |
| Descrizione fisica | 1 online resource (482 p.) |
| Disciplina | 515.39 |
| Altri autori (Persone) |
CecconiFabio
VulpianiA |
| Collana | Series on advances in statistical mechanics |
| Soggetto topico |
Chaotic behavior in systems
Dynamics |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-282-75833-0
9786612758331 981-4277-66-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Contents; Preface; Introduction; Historical note; Overview of the book; Hints on how to use/read this book; Introduction to Dynamical Systems and Chaos; 1. First Encounter with Chaos; 1.1 Prologue; 1.2 The nonlinear pendulum; 1.3 The damped nonlinear pendulum; 1.4 The vertically driven and damped nonlinear pendulum; 1.5 What about the predictability of pendulum evolution?; 1.6 Epilogue; 2. The Language of Dynamical Systems; 2.1 Ordinary Differential Equations (ODE); 2.1.1 Conservative and dissipative dynamical systems; BoxB. 1 Hamiltonian dynamics
A: Symplectic structure and Canonical Transformations B: Integrable systems and Action-Angle variables; 2.1.2 PoincaréMap; 2.2 Discrete time dynamical systems: maps; 2.2.1 Two dimensional maps; 2.2.1.1 The Hénon Map; 2.2.1.2 Two-dimensional symplectic maps; 2.3 The role of dimension; 2.4 Stability theory; 2.4.1 Classification of fixed points and linear stability analysis; BoxB. 2 A remark on the linear stability of symplectic maps; 2.4.2 Nonlinear stability; 2.4.2.1 Limit cycles; 2.4.2.2 Lyapunov Theorem; 2.5 Exercises; 3. Examples of Chaotic Behaviors; 3.1 The logisticmap BoxB. 3 Topological conjugacy 3.2 The Lorenzmodel; BoxB. 4 Derivation of the Lorenz model; 3.3 The Hénon-Heiles system; 3.4 What did we learn and what will we learn?; BoxB. 5 Correlation functions; 3.5 Closing remark; 3.6 Exercises; 4. Probabilistic Approach to Chaos; 4.1 An informal probabilistic approach; 4.2 Time evolution of the probability density; BoxB. 6 Markov Processes; A: Finite states Markov Chains; B: Continuous Markov processes; C: Dynamical systems with additive noise; 4.3 Ergodicity; 4.3.1 An historical interlude on ergodic theory; BoxB. 7 Poincaré recurrence theorem 4.3.2 Abstract formulation of the Ergodic theory 4.4 Mixing; 4.5 Markov chains and chaoticmaps; 4.6 Natural measure; 4.7 Exercises; 5. Characterization of Chaotic Dynamical Systems; 5.1 Strange attractors; 5.2 Fractals and multifractals; 5.2.1 Box counting dimension; 5.2.2 The stretching and folding mechanism; 5.2.3 Multifractals; BoxB. 8 Brief excursion on Large Deviation Theory; 5.2.4 Grassberger-Procaccia algorithm; 5.3 Characteristic Lyapunov exponents; BoxB. 9 Algorithm for computing Lyapunov Spectrum; 5.3.1 Oseledec theorem and the law of large numbers 5.3.2 Remarks on the Lyapunov exponents 5.3.2.1 Lyapunov exponents are topological invariant; 5.3.2.2 Relationship between Lyapunov exponents of flows and Poincaré maps; 5.3.3 Fluctuation statistics of finite time Lyapunov exponents; 5.3.4 Lyapunov dimension; BoxB. 10 Mathematical chaos; A: Hyperbolic sets and Anosov systems; B: SRB measure; C: The Arnold cat map; 5.4 Exercises; 6. From Order to Chaos in Dissipative Systems; 6.1 The scenarios for the transition to turbulence; 6.1.1 Landau-Hopf; BoxB. 11 Hopf bifurcation; BoxB. 12 The Van der Pol oscillator and the averaging technique 6.1.2 Ruelle-Takens |
| Record Nr. | UNINA-9910455859203321 |
Cencini Massimo
|
||
| Hackensack, N.J., : World Scientific, c2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Chaos [[electronic resource] ] : from simple models to complex systems / / Massimo Cencini, Fabio Cecconi, Angelo Vulpiani
| Chaos [[electronic resource] ] : from simple models to complex systems / / Massimo Cencini, Fabio Cecconi, Angelo Vulpiani |
| Autore | Cencini Massimo |
| Pubbl/distr/stampa | Hackensack, N.J., : World Scientific, c2010 |
| Descrizione fisica | 1 online resource (482 p.) |
| Disciplina | 515.39 |
| Altri autori (Persone) |
CecconiFabio
VulpianiA |
| Collana | Series on advances in statistical mechanics |
| Soggetto topico |
Chaotic behavior in systems
Dynamics |
| ISBN |
1-282-75833-0
9786612758331 981-4277-66-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Contents; Preface; Introduction; Historical note; Overview of the book; Hints on how to use/read this book; Introduction to Dynamical Systems and Chaos; 1. First Encounter with Chaos; 1.1 Prologue; 1.2 The nonlinear pendulum; 1.3 The damped nonlinear pendulum; 1.4 The vertically driven and damped nonlinear pendulum; 1.5 What about the predictability of pendulum evolution?; 1.6 Epilogue; 2. The Language of Dynamical Systems; 2.1 Ordinary Differential Equations (ODE); 2.1.1 Conservative and dissipative dynamical systems; BoxB. 1 Hamiltonian dynamics
A: Symplectic structure and Canonical Transformations B: Integrable systems and Action-Angle variables; 2.1.2 PoincaréMap; 2.2 Discrete time dynamical systems: maps; 2.2.1 Two dimensional maps; 2.2.1.1 The Hénon Map; 2.2.1.2 Two-dimensional symplectic maps; 2.3 The role of dimension; 2.4 Stability theory; 2.4.1 Classification of fixed points and linear stability analysis; BoxB. 2 A remark on the linear stability of symplectic maps; 2.4.2 Nonlinear stability; 2.4.2.1 Limit cycles; 2.4.2.2 Lyapunov Theorem; 2.5 Exercises; 3. Examples of Chaotic Behaviors; 3.1 The logisticmap BoxB. 3 Topological conjugacy 3.2 The Lorenzmodel; BoxB. 4 Derivation of the Lorenz model; 3.3 The Hénon-Heiles system; 3.4 What did we learn and what will we learn?; BoxB. 5 Correlation functions; 3.5 Closing remark; 3.6 Exercises; 4. Probabilistic Approach to Chaos; 4.1 An informal probabilistic approach; 4.2 Time evolution of the probability density; BoxB. 6 Markov Processes; A: Finite states Markov Chains; B: Continuous Markov processes; C: Dynamical systems with additive noise; 4.3 Ergodicity; 4.3.1 An historical interlude on ergodic theory; BoxB. 7 Poincaré recurrence theorem 4.3.2 Abstract formulation of the Ergodic theory 4.4 Mixing; 4.5 Markov chains and chaoticmaps; 4.6 Natural measure; 4.7 Exercises; 5. Characterization of Chaotic Dynamical Systems; 5.1 Strange attractors; 5.2 Fractals and multifractals; 5.2.1 Box counting dimension; 5.2.2 The stretching and folding mechanism; 5.2.3 Multifractals; BoxB. 8 Brief excursion on Large Deviation Theory; 5.2.4 Grassberger-Procaccia algorithm; 5.3 Characteristic Lyapunov exponents; BoxB. 9 Algorithm for computing Lyapunov Spectrum; 5.3.1 Oseledec theorem and the law of large numbers 5.3.2 Remarks on the Lyapunov exponents 5.3.2.1 Lyapunov exponents are topological invariant; 5.3.2.2 Relationship between Lyapunov exponents of flows and Poincaré maps; 5.3.3 Fluctuation statistics of finite time Lyapunov exponents; 5.3.4 Lyapunov dimension; BoxB. 10 Mathematical chaos; A: Hyperbolic sets and Anosov systems; B: SRB measure; C: The Arnold cat map; 5.4 Exercises; 6. From Order to Chaos in Dissipative Systems; 6.1 The scenarios for the transition to turbulence; 6.1.1 Landau-Hopf; BoxB. 11 Hopf bifurcation; BoxB. 12 The Van der Pol oscillator and the averaging technique 6.1.2 Ruelle-Takens |
| Record Nr. | UNINA-9910780723103321 |
|
Cencini Massimo
|
||
| Hackensack, N.J., : World Scientific, c2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Chaos [[electronic resource] ] : from simple models to complex systems / / Massimo Cencini, Fabio Cecconi, Angelo Vulpiani
| Chaos [[electronic resource] ] : from simple models to complex systems / / Massimo Cencini, Fabio Cecconi, Angelo Vulpiani |
| Autore | Cencini Massimo |
| Pubbl/distr/stampa | Hackensack, N.J., : World Scientific, c2010 |
| Descrizione fisica | 1 online resource (482 p.) |
| Disciplina | 515.39 |
| Altri autori (Persone) |
CecconiFabio
VulpianiA |
| Collana | Series on advances in statistical mechanics |
| Soggetto topico |
Chaotic behavior in systems
Dynamics |
| ISBN |
1-282-75833-0
9786612758331 981-4277-66-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Contents; Preface; Introduction; Historical note; Overview of the book; Hints on how to use/read this book; Introduction to Dynamical Systems and Chaos; 1. First Encounter with Chaos; 1.1 Prologue; 1.2 The nonlinear pendulum; 1.3 The damped nonlinear pendulum; 1.4 The vertically driven and damped nonlinear pendulum; 1.5 What about the predictability of pendulum evolution?; 1.6 Epilogue; 2. The Language of Dynamical Systems; 2.1 Ordinary Differential Equations (ODE); 2.1.1 Conservative and dissipative dynamical systems; BoxB. 1 Hamiltonian dynamics
A: Symplectic structure and Canonical Transformations B: Integrable systems and Action-Angle variables; 2.1.2 PoincaréMap; 2.2 Discrete time dynamical systems: maps; 2.2.1 Two dimensional maps; 2.2.1.1 The Hénon Map; 2.2.1.2 Two-dimensional symplectic maps; 2.3 The role of dimension; 2.4 Stability theory; 2.4.1 Classification of fixed points and linear stability analysis; BoxB. 2 A remark on the linear stability of symplectic maps; 2.4.2 Nonlinear stability; 2.4.2.1 Limit cycles; 2.4.2.2 Lyapunov Theorem; 2.5 Exercises; 3. Examples of Chaotic Behaviors; 3.1 The logisticmap BoxB. 3 Topological conjugacy 3.2 The Lorenzmodel; BoxB. 4 Derivation of the Lorenz model; 3.3 The Hénon-Heiles system; 3.4 What did we learn and what will we learn?; BoxB. 5 Correlation functions; 3.5 Closing remark; 3.6 Exercises; 4. Probabilistic Approach to Chaos; 4.1 An informal probabilistic approach; 4.2 Time evolution of the probability density; BoxB. 6 Markov Processes; A: Finite states Markov Chains; B: Continuous Markov processes; C: Dynamical systems with additive noise; 4.3 Ergodicity; 4.3.1 An historical interlude on ergodic theory; BoxB. 7 Poincaré recurrence theorem 4.3.2 Abstract formulation of the Ergodic theory 4.4 Mixing; 4.5 Markov chains and chaoticmaps; 4.6 Natural measure; 4.7 Exercises; 5. Characterization of Chaotic Dynamical Systems; 5.1 Strange attractors; 5.2 Fractals and multifractals; 5.2.1 Box counting dimension; 5.2.2 The stretching and folding mechanism; 5.2.3 Multifractals; BoxB. 8 Brief excursion on Large Deviation Theory; 5.2.4 Grassberger-Procaccia algorithm; 5.3 Characteristic Lyapunov exponents; BoxB. 9 Algorithm for computing Lyapunov Spectrum; 5.3.1 Oseledec theorem and the law of large numbers 5.3.2 Remarks on the Lyapunov exponents 5.3.2.1 Lyapunov exponents are topological invariant; 5.3.2.2 Relationship between Lyapunov exponents of flows and Poincaré maps; 5.3.3 Fluctuation statistics of finite time Lyapunov exponents; 5.3.4 Lyapunov dimension; BoxB. 10 Mathematical chaos; A: Hyperbolic sets and Anosov systems; B: SRB measure; C: The Arnold cat map; 5.4 Exercises; 6. From Order to Chaos in Dissipative Systems; 6.1 The scenarios for the transition to turbulence; 6.1.1 Landau-Hopf; BoxB. 11 Hopf bifurcation; BoxB. 12 The Van der Pol oscillator and the averaging technique 6.1.2 Ruelle-Takens |
| Record Nr. | UNINA-9910816631903321 |
|
Cencini Massimo
|
||
| Hackensack, N.J., : World Scientific, c2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Large Deviations in Physics [[electronic resource] ] : The Legacy of the Law of Large Numbers / / edited by Angelo Vulpiani, Fabio Cecconi, Massimo Cencini, Andrea Puglisi, Davide Vergni
| Large Deviations in Physics [[electronic resource] ] : The Legacy of the Law of Large Numbers / / edited by Angelo Vulpiani, Fabio Cecconi, Massimo Cencini, Andrea Puglisi, Davide Vergni |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (XIV, 314 p. 58 illus., 18 illus. in color.) |
| Disciplina | 530.0285 |
| Collana | Lecture Notes in Physics |
| Soggetto topico |
Mathematical physics
Mechanics Statistical physics Dynamical systems Applied mathematics Engineering mathematics Theoretical, Mathematical and Computational Physics Classical Mechanics Complex Systems Applications of Mathematics Statistical Physics and Dynamical Systems |
| ISBN | 3-642-54251-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Ergodicity – A Basic Concept -- Large Deviations in Statistical Mechanics: Rigorous and Non-Rigorous -- Large Deviation Techniques for Long-Range Interactions -- Fluctuation-Dissipation and Fluctuation Relations: From Equilibrium to Nonequilibrium Phenomena and Back -- Stochastic Fluctuations in Deterministic Systems -- Large Deviation and Disordered Systems -- Large Deviations in Turbulence -- Ergodicity Breaking Challenges Monte Carlo Methods -- Anomalous Diffusion: Deterministic and Stochastic Perspectives -- The Use of Fluctuation Relations for the Analysis of Free-Energy Landscapes. |
| Record Nr. | UNINA-9910132210203321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Large Deviations in Physics [[electronic resource] ] : The Legacy of the Law of Large Numbers / / edited by Angelo Vulpiani, Fabio Cecconi, Massimo Cencini, Andrea Puglisi, Davide Vergni
| Large Deviations in Physics [[electronic resource] ] : The Legacy of the Law of Large Numbers / / edited by Angelo Vulpiani, Fabio Cecconi, Massimo Cencini, Andrea Puglisi, Davide Vergni |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (XIV, 314 p. 58 illus., 18 illus. in color.) |
| Disciplina | 530.0285 |
| Collana | Lecture Notes in Physics |
| Soggetto topico |
Mathematical physics
Mechanics Statistical physics Dynamical systems Applied mathematics Engineering mathematics Theoretical, Mathematical and Computational Physics Classical Mechanics Complex Systems Applications of Mathematics Statistical Physics and Dynamical Systems |
| ISBN | 3-642-54251-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Ergodicity – A Basic Concept -- Large Deviations in Statistical Mechanics: Rigorous and Non-Rigorous -- Large Deviation Techniques for Long-Range Interactions -- Fluctuation-Dissipation and Fluctuation Relations: From Equilibrium to Nonequilibrium Phenomena and Back -- Stochastic Fluctuations in Deterministic Systems -- Large Deviation and Disordered Systems -- Large Deviations in Turbulence -- Ergodicity Breaking Challenges Monte Carlo Methods -- Anomalous Diffusion: Deterministic and Stochastic Perspectives -- The Use of Fluctuation Relations for the Analysis of Free-Energy Landscapes. |
| Record Nr. | UNISA-996217776803316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||