
Stochastic Modelling and Applied Probability
Transition from Microscopic to Macroscopic Equations
By: Peter Kotelenez
Hardcover | 17 December 2007
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472 Pages
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| Introduction | p. 1 |
| From Microscopic Dynamics to Mesoscopic Kinematics | |
| Heuristics: Microscopic Model and Space-Time Scales | p. 9 |
| Deterministic Dynamics in a Lattice Model and a Mesoscopic (Stochastic) Limit | p. 15 |
| Proof of the Mesoscopic Limit Theorem | p. 31 |
| Mesoscopic A: Stochastic Ordinary Differential Equations | |
| Stochastic Ordinary Differential Equations: Existence, Uniqueness, and Flows Properties | p. 59 |
| Preliminaries | p. 59 |
| The Governing Stochastic Ordinary Differential Equations | p. 64 |
| Equivalence in Distribution and Flow Properties for SODEs | p. 73 |
| Examples | p. 78 |
| Qualitative Behavior of Correlated Brownian Motions | p. 85 |
| Uncorrelated and Correlated Brownian Motions | p. 85 |
| Shift and Rotational Invariance of w(dq, dt) | p. 92 |
| Separation and Magnitude of the Separation of Two Correlated Brownian Motions with Shift-Invariant and Frame-Indifferent Integral Kernels | p. 94 |
| Asymptotics of Two Correlated Brownian Motions with Shift-Invariant and Frame-Indifferent Integral Kernels | p. 105 |
| Decomposition of a Diffusion into the Flux and a Symmetric Diffusion | p. 110 |
| Local Behavior of Two Correlated Brownian Motions with Shift-Invariant and Frame-Indifferent Integral Kernels | p. 116 |
| Examples and Additional Remarks | p. 121 |
| Asymptotics of Two Correlated Brownian Motions with Shift-Invariant Integral Kernels | p. 128 |
| Proof of the Flow Property | p. 133 |
| Proof of Statement 3 of Theorem 4.5 | p. 133 |
| Smoothness of the Flow | p. 138 |
| Comments on SODEs: A Comparison with Other Approaches | p. 151 |
| Preliminaries and a Comparison with Kunita's Model | p. 151 |
| Examples of Correlation Functions | p. 156 |
| Mesoscopic B: Stochastic Partial Differential Equations | |
| Stochastic Partial Differential Equations: Finite Mass and Extensions | p. 163 |
| Preliminaries | p. 163 |
| A Priori Estimates | p. 171 |
| Noncoercive SPDEs | p. 174 |
| Coercive and Noncoercive SPDEs | p. 189 |
| General SPDEs | p. 197 |
| Semilinear Stochastic Partial Differential Equations in Stratonovich Form | p. 198 |
| Examples | p. 200 |
| Stochastic Partial Differential Equations: Infinite Mass | p. 203 |
| Noncoercive Quasilinear SPDEs for Infinite Mass Evolution | p. 203 |
| Noncoercive Semilinear SPDEs for Infinite Mass Evolution in Stratonovich Form | p. 219 |
| Stochastic Partial Differential Equations: Homogeneous and Isotropic Solutions | p. 221 |
| Proof of Smoothness, Integrability, and Ito's Formula | p. 229 |
| Basic Estimates and State Spaces | p. 229 |
| Proof of Smoothness of (8.25) and (8.73) | p. 246 |
| Proof of the Ito formula (8.42) | p. 269 |
| Proof of Uniqueness | p. 273 |
| Comments on Other Approaches to SPDEs | p. 291 |
| Classification | p. 291 |
| Linear SPDEs | p. 294 |
| Bilinear SPDEs | p. 297 |
| Semilinear SPDEs | p. 299 |
| Quasilinear SPDEs | p. 301 |
| Nonlinear SPDEs | p. 301 |
| Stochastic Wave Equations | p. 302 |
| Models | p. 302 |
| Nonlinear Filtering | p. 302 |
| SPDEs for Mass Distributions | p. 303 |
| Fluctuation Limits for Particles | p. 304 |
| SPDEs in Genetics | p. 305 |
| SPDEs in Neuroscience | p. 305 |
| SPDEs in Euclidean Field Theory | p. 306 |
| SPDEs in Fluid Mechanics | p. 306 |
| SPDEs in Surface Physics/Chemistry | p. 308 |
| SPDEs for Strings | p. 308 |
| Books on SPDEs | p. 308 |
| Macroscopic: Deterministic Partial Differential Equations | |
| Partial Differential Equations as a Macroscopic Limit | p. 313 |
| Limiting Equations and Hypotheses | p. 313 |
| The Macroscopic Limit for d [greater than or equal] 2 | p. 316 |
| Examples | p. 327 |
| A Remark on d = 1 | p. 330 |
| Convergence of Stochastic Transport Equations to Macroscopic Parabolic Equations | p. 331 |
| General Appendix | |
| Appendix | p. 335 |
| Analysis | p. 335 |
| Metric Spaces: Extension by Continuity, Contraction Mappings, and Uniform Boundedness | p. 335 |
| Some Classical Inequalities | p. 336 |
| The Schwarz Space | p. 340 |
| Metrics on Spaces of Measures | p. 348 |
| Riemann Stieltjes Integrals | p. 357 |
| The Skorokhod Space D([0, [infinity]); B) | p. 359 |
| Stochastics | p. 362 |
| Relative Compactness and Weak Convergence | p. 362 |
| Regular and Cylindrical Hilbert Space-Valued Brownian Motions | p. 366 |
| Martingales, Quadratic Variation, and Inequalities | p. 371 |
| Random Covariance and Space-time Correlations for Correlated Brownian Motions | p. 380 |
| Stochastic Ito Integrals | p. 387 |
| Stochastic Stratonovich Integrals | p. 403 |
| Markov-Diffusion Processes | p. 411 |
| Measure-Valued Flows: Proof of Proposition 4.3 | p. 418 |
| The Fractional Step Method | p. 422 |
| Mechanics: Frame-Indifference | p. 424 |
| Subject Index | p. 431 |
| Symbols | p. 439 |
| References | p. 445 |
| Table of Contents provided by Ingram. All Rights Reserved. |
ISBN: 9780387743165
ISBN-10: 0387743162
Series: Stochastic Modelling and Applied Probability
Published: 17th December 2007
Format: Hardcover
Language: English
Number of Pages: 472
Audience: General Adult
Publisher: Springer Nature B.V.
Country of Publication: US
Dimensions (cm): 23.5 x 15.88 x 2.54
Weight (kg): 0.77
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