Invariance Principles for Parabolic Equations with Random Coefficients
β Scribed by Donald A. Dawson; Michael A. Kouritzin
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 535 KB
- Volume
- 149
- Category
- Article
- ISSN
- 0022-1236
No coin nor oath required. For personal study only.
β¦ Synopsis
A general Hilbert-space-based stochastic averaging theory is brought forth herein for arbitrary-order parabolic equations with (possibly long range dependent) random coefficients. We use regularity conditions on t u = (t, x)= :
which are slightly stronger than those required to prove pathwise existence and uniqueness for (1). Equation (1) can be obtained from the singularly perturbed system
through time change. Next, we impose on the coefficients of (1) a pointwise (in x and t) weak law of large numbers and a weak invariance principle
, H 1 being a separable Hilbert space of functions and h # (0, 1) denoting a constant. (h>1Γ2 allows for long range time dependence.
π SIMILAR VOLUMES
Reaction random walk systems are hyperbolic models for the description of Ε½ . spatial motion in one dimension and reaction of particles. In contrast to reaction diffusion equations, particles have finite propagation speed. For parabolic systems invariance results and maximum principles are well know
## Abstract We consider the problem of numerically approximating statistical moments of the solution of a timeβdependent linear parabolic partial differential equation (PDE), whose coefficients and/or forcing terms are spatially correlated random fields. The stochastic coefficients of the PDE are a