Consider the stochastic partial differential equation formula where Ẇ =Ẇ(t, x) is two-parameter while noise. Assume that u0 is a continuous function taking values in 0, 1 such that for some constant a $>$ 0, we have (C1) u0(x) = 1 for x $<$ −a.(C2) u0(x) = 0 for x $>$ a. Let the wavefront b(t) = supx ∈ R: u(t, x) $>$ 0. We show that for ϵ small enough and with probability 1, • limt→∞b(t)/t exists and lies in (0, ∞). This limit depends only on ϵ. •The law of v(t, x) ≡ u(t, b(t) + x) tends toward a stationary limit as t → ∞. We also analyze the length of the region a(t), b(t), which is the smallest closed interval containing the points x at which 0 $<$ u(t, x) $<$ 1. We show that the length of this region tends toward a stationary distribution. Thus, the wavefront does not degenerate.
%0 Journal Article
%1 mueller1995random
%A Mueller, C.
%A Sowers, R.B.
%D 1995
%J Journal of Functional Analysis
%K Fisher-KPP SPDE travelling_wave
%N 2
%P 439 - 498
%R 10.1006/jfan.1995.1038
%T Random Travelling Waves for the KPP Equation with Noise
%U http://www.sciencedirect.com/science/article/pii/S0022123685710385
%V 128
%X Consider the stochastic partial differential equation formula where Ẇ =Ẇ(t, x) is two-parameter while noise. Assume that u0 is a continuous function taking values in 0, 1 such that for some constant a $>$ 0, we have (C1) u0(x) = 1 for x $<$ −a.(C2) u0(x) = 0 for x $>$ a. Let the wavefront b(t) = supx ∈ R: u(t, x) $>$ 0. We show that for ϵ small enough and with probability 1, • limt→∞b(t)/t exists and lies in (0, ∞). This limit depends only on ϵ. •The law of v(t, x) ≡ u(t, b(t) + x) tends toward a stationary limit as t → ∞. We also analyze the length of the region a(t), b(t), which is the smallest closed interval containing the points x at which 0 $<$ u(t, x) $<$ 1. We show that the length of this region tends toward a stationary distribution. Thus, the wavefront does not degenerate.
@article{mueller1995random,
abstract = {Consider the stochastic partial differential equation [formula] where Ẇ =Ẇ(t, x) is two-parameter while noise. Assume that u0 is a continuous function taking values in [0, 1] such that for some constant a $>$ 0, we have (C1) u0(x) = 1 for x $<$ −a.(C2) u0(x) = 0 for x $>$ a. Let the wavefront b(t) = sup{x ∈ R: u(t, x) $>$ 0}. We show that for ϵ small enough and with probability 1, • limt→∞b(t)/t exists and lies in (0, ∞). This limit depends only on ϵ. •The law of v(t, x) ≡ u(t, b(t) + x) tends toward a stationary limit as t → ∞. We also analyze the length of the region [a(t), b(t)], which is the smallest closed interval containing the points x at which 0 $<$ u(t, x) $<$ 1. We show that the length of this region tends toward a stationary distribution. Thus, the wavefront does not degenerate.},
added-at = {2013-01-20T14:21:51.000+0100},
author = {Mueller, C. and Sowers, R.B.},
biburl = {https://www.bibsonomy.org/bibtex/224b0359853ca015818c98b17a9a2eedf/peter.ralph},
doi = {10.1006/jfan.1995.1038},
interhash = {1d0f08ead6fa48670c8aeee3d20d4661},
intrahash = {24b0359853ca015818c98b17a9a2eedf},
issn = {0022-1236},
journal = {Journal of Functional Analysis},
keywords = {Fisher-KPP SPDE travelling_wave},
number = 2,
pages = {439 - 498},
timestamp = {2013-09-12T22:23:01.000+0200},
title = {Random Travelling Waves for the KPP Equation with Noise},
url = {http://www.sciencedirect.com/science/article/pii/S0022123685710385},
volume = 128,
year = 1995
}