151,01 €
167,79 €
-10% with code: EXTRA
Kolmogorov Equations for Stochastic Pdes
Kolmogorov Equations for Stochastic Pdes
151,01
167,79 €
  • We will send in 10–14 business days.
This textbook gives an introduction to stochastic partial differential equations such as reaction-diffusion, Burgers and 2D Navier-Stokes equations, perturbed by noise. Several properties of corresponding transition semigroups are studied, such as Feller and strong Feller properties, irreducibility, existence and uniqueness of invariantg measures. Moreover, the transition semigroups are interpreted as generalized solutions of Kologorov equations.The prerequisites are basic probability (includin…
167.79
  • Publisher:
  • ISBN-10: 3764372168
  • ISBN-13: 9783764372163
  • Format: 15.6 x 23.4 x 1.1 cm, minkšti viršeliai
  • Language: English
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This textbook gives an introduction to stochastic partial differential equations such as reaction-diffusion, Burgers and 2D Navier-Stokes equations, perturbed by noise. Several properties of corresponding transition semigroups are studied, such as Feller and strong Feller properties, irreducibility, existence and uniqueness of invariantg measures. Moreover, the transition semigroups are interpreted as generalized solutions of Kologorov equations.
The prerequisites are basic probability (including finite dimemsional stochastic differential equations), basic functional analysis and some elements of the theory of partial differential equations.

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  • Author: Giuseppe Da Prato
  • Publisher:
  • ISBN-10: 3764372168
  • ISBN-13: 9783764372163
  • Format: 15.6 x 23.4 x 1.1 cm, minkšti viršeliai
  • Language: English English

This textbook gives an introduction to stochastic partial differential equations such as reaction-diffusion, Burgers and 2D Navier-Stokes equations, perturbed by noise. Several properties of corresponding transition semigroups are studied, such as Feller and strong Feller properties, irreducibility, existence and uniqueness of invariantg measures. Moreover, the transition semigroups are interpreted as generalized solutions of Kologorov equations.
The prerequisites are basic probability (including finite dimemsional stochastic differential equations), basic functional analysis and some elements of the theory of partial differential equations.

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