Brownian Motion: Stochastic Modelling and Applied Probability, cartea 11
Autor T. Hida Traducere de T.P. Speeden Limba Engleză Paperback – 3 feb 2012
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Specificații
ISBN-13: 9781461260325
ISBN-10: 1461260329
Pagini: 344
Ilustrații: XVI, 327 p.
Dimensiuni: 155 x 235 x 18 mm
Greutate: 0.48 kg
Ediția:Softcover reprint of the original 1st ed. 1980
Editura: Springer
Colecția Springer
Seria Stochastic Modelling and Applied Probability
Locul publicării:New York, NY, United States
ISBN-10: 1461260329
Pagini: 344
Ilustrații: XVI, 327 p.
Dimensiuni: 155 x 235 x 18 mm
Greutate: 0.48 kg
Ediția:Softcover reprint of the original 1st ed. 1980
Editura: Springer
Colecția Springer
Seria Stochastic Modelling and Applied Probability
Locul publicării:New York, NY, United States
Public țintă
ResearchCuprins
1 Background.- 1.1 Probability Spaces, Random Variables, and Expectations.- 1.2 Examples.- 1.3 Probability Distributions.- 1.4 Conditional Expectations.- 1.5 Limit Theorems.- 1.6 Gaussian Systems.- 1.7 Characterisations of Gaussian Distributions.- 2 Brownian Motion.- 2.1 Brownian Motion. Wiener Measure.- 2.2 Sample Path Properties.- 2.3 Cbnstructions of Brownian Motion.- 2.4 Markov Properties of Brownian Motion.- 2.5 Applications of the Hille-Yosida Theorem.- 2.6 Processes Related to Brownian Motio.- 3 Generalised Stochastic Processes and Their Distributions.- 3.1 Characteristic Functionals.- 3.2 The Bochner-Minlos Theorem.- 3.3 Examples of Generalised Stochastic Processes and Their Distributions.- 3.4 White Noise.- 4 Functionals of Brownian Motion.- 4.1 Basic Functionals.- 4.2 The Wiener-Itô Decomposition of (L2).- 4.3 Representations of Multiple Wiener Integrals.- 4.4 Stochastic Processes.- 4.5 Stochastic Integrals.- 4.6 Examples of Applications.- 4.7 The Fourier-Wiener Transform.- 5 The Rotation Group.- 5.1 Transformations of White Noise (I): Rotations.- 5.2 Subgroups of the Rotation Group.- 5.3 The Projective Transformation Group.- 5.4 Projective Invariance of Brownian Motion.- 5.5 Spectral Type of One-Parameter Subgroups.- 5.6 Derivation of Properties of White Noise Using the Rotation Group.- 5.7 Transformations of White Noise (II): Translations.- 5.8 The Canonical Commutation Relations of Quantum Mechanics.- 6 Complex White Noise.- 6.1 Complex Gaussian System.- 6.2 Complexification of White Noise.- 6.3 The Complex Multiple Wiener Integral.- 6.4 Special Functionals in $$(\text{L}_c^2)$$.- 7 The Unitary Group and Its Applications.- 7.1 The Infinite-Dimensional Unitary Group.- 7.2 The Unitary Group U(?c).- 7.3 Subgroups of U(?c).- 7.4 Generators of theSubgroups.- 7.5 The Symmetry Group of the Heat Equation.- 7.6 Applications to the Schrödinger Equation.- 8 Causal Calculus in Terms of Brownian Motion.- 8.1 Summary of Known Results.- 8.2 Coordinate Systems in (?*, µ).- 8.3 Generalised Brownian Functionals.- 8.4 Generalised Random Measures.- 8.5 Causal Calculus.- A.l Martingales.- A.2 Brownian Motion with a Multidimensional Parameter.- A.3 Examples of Nuclear Spaces.- A.4 Wiener’s Non-Linear Circuit Theory.- A.5 Formulae for Hermite Polynomials.