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1. |
Record Nr. |
UNISALENTO991002251749707536 |
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Autore |
Demailly, Jean-Pierre |
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Titolo |
Transcendental methods in algebraic geometry [e-book] : lectures given at the 3rd session of the Centro Internazionale Matematico Estivo (C.I.M.E.) held in Cetraro, Italy, july 4–12, 1994 / by Jean-Pierre Demailly ... [et al.] ; edited by Fabrizio Catanese, Ciro Ciliberto |
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Pubbl/distr/stampa |
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ISBN |
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Descrizione fisica |
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1 online resource (vii, 258 p.) |
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Collana |
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Lecture Notes in Mathematics, 0075-8434 ; 1646 |
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Classificazione |
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AMS 14C30 |
AMS 14J29 |
AMS 32H02 |
AMS 32L07 |
AMS 81T13 |
AMS 53C55 |
AMS 57R55 |
AMS 32C10 |
AMS 32C17 |
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Altri autori (Persone) |
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Catanese, Fabrizio |
Ciliberto, Ciro |
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Disciplina |
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Soggetti |
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Mathematics |
Geometry, algebraic |
Differential equations, partial |
Global differential geometry |
Cell aggregation - Mathematics |
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Lingua di pubblicazione |
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Formato |
Risorsa elettronica |
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Livello bibliografico |
Monografia |
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2. |
Record Nr. |
UNINA9910960525703321 |
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Autore |
Mazo Robert M |
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Titolo |
Brownian motion : fluctuations, dynamics, and applications / / Robert M. Mazo |
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Pubbl/distr/stampa |
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Oxford, : Clarendon Press, 2002 |
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ISBN |
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9786611998790 |
9781281998798 |
1281998796 |
9780191565083 |
0191565083 |
9780199556441 |
019955644X |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (302 p.) |
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Collana |
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Oxford science publications |
International series of monographs on physics ; ; 112 |
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Disciplina |
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Soggetti |
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Brownian motion processes |
Markov processes |
Processos de moviment brownià |
Processos estocàstics |
Processos de Markov |
Mecànica estadística |
Difusió |
Polímers |
Fluctuacions (Física) |
Llibres electrònics |
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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 (p. 271-284) and index. |
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Nota di contenuto |
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Contents; 1 Historical Background; 1.1 Robert Brown; 1.2 Between Brown and Einstein; 1.3 Albert Einstein; 1.4 Marian von Smoluchowski; 1.5 Molecular Reality; 1.6 The Scope of this Book; 2 Probability Theory; 2.1 Probability; 2.2 Conditional Probability and Independence; 2.3 |
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Random Variables and Probability Distributions; 2.4 Expectations and Particular Distributions; 2.5 Characteristic Function; Sums of Random Variables; 2.6 Conclusion; 3 Stochastic Processes; 3.1 Stochastic Processes; 3.2 Distribution Functions; 3.3 Classification of Stochastic Processes; 3.4 The Fokker-Planck Equation |
3.5 Some Special Processes3.6 Calculus of Stochastic Processes; 3.7 Fourier Analysis of Random Processes; 3.8 White Noise; 3.9 Conclusion; 4 Einstein-Smoluchowski Theory; 4.1 What is Brownian Motion?; 4.2 Smoluchowski's Theory; 4.3 Smoluchowski Theory Continued; 4.4 Einstein's Theory; 4.5 Diffusion Coefficient and Friction Constant; 4.6 The Langevin Theory; 5 Stochastic Differential Equations and Integrals; 5.1 The Langevin Equation Revisited; 5.2 Stochastic Differential Equations; 5.3 Which Rule Should Be Used?; 5.4 Some Examples; 6 Functional Integrals; 6.1 Functional Integrals |
6.2 The Wiener Integral6.3 Wiener Measure; 6.4 The Feynman-Kac Formula; 6.5 Feynman Path Integrals; 6.6 Evaluation of Wiener Integrals; 6.7 Applications of Functional Integrals; 7 Some Important Special Cases; 7.1 Several Cases of Interest; 7.2 The Free Particle; 7.3 The Distribution of Displacements; 7.4 The Harmonically Bound Particle; 7.5 A Particle in a Constant Force Field; 7.6 The Uniaxial Rotor; 7.7 An Equation for the Distribution of Displacements; 7.8 Discussion; 8 The Smoluchowski Equation; 8.1 The Kramers-Klein Equation; 8.2 The Smoluchowski Equation |
8.3 Elimination of Fast Variables8.4 The Smoluchowski Equation Continued; 8.5 Passage over Potential Barriers; 8.6 Concluding Remarks; 9 Random Walk; 9.1 The Random Walk; 9.2 The One-Dimensional Pearson Walk; 9.3 The Biased Random Walk; 9.4 The Persistent Walk; 9.5 Boundaries and First Passage Times; 9.6 Random Remarks on Random Walks; 10 Statistical Mechanics; 10.1 Molecular Distribution Functions; 10.2 The Liouville Equation; 10.3 Projection Operators-The Zwanzig Equation; 10.4 Projection Operators-The Mori Equation; 10.5 Concluding Remarks |
11 Stochastic Equations from a Statistical Mechanical Viewpoint11.1 The Langevin Equation A Heuristic View; 11.2 The Fokker-Planck Equation-A Heuristic View; 11.3 What is Wrong with these Derivations?; 11.4 Eliminating Fast Processes; 11.5 The Distribution Function; 11.6 Discussion; 12 Two Exactly Treatable Models; 12.1 Two Illustrative Examples; 12.2 Brownian Motion in a Dilute Gas; 12.3 Discussion; 12.4 The Particle Bound to a Lattice; 12.5 The One-Dimensional Case; 12.6 Discussion; 13 Brownian Motion and Noise; 13.1 Limits on Measurement; 13.2 Oscillations of a Fiber |
13.3 A Pneumatic Example |
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Sommario/riassunto |
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Brownian motion- the incessant motion of small particles suspended in a fluid- is an important topic in statistical physics and physical chemistry. This book studies its origin in molecular scale fluctuations, its description in terms of random process theory and also in terms of statistical mechanics. - ;Brownian motion - the incessant motion of small particles suspended in a fluid - is an important topic in statistical physics and physical chemistry. This book studies its origin in molecular scale fluctuations, its description in terms of random process theory and also in terms of statistica |
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