Diffusive mixing of periodic wave trains in reaction-diffusion systems

Mathematics – Analysis of PDEs

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

We consider reaction-diffusion systems on the infinite line that exhibit a family of spectrally stable spatially periodic wave trains $u_0(kx-\om t;k)$ that are parameterized by the wave number $k$. We prove stable diffusive mixing of the asymptotic states $u_0(k x+\phi_{\pm};k)$ as $x\ra \pm\infty$ with different phases $\phi_-\neq\phi_+$ at infinity for solutions that initially converge to these states as $x\ra \pm\infty$. The proof is based on Bloch wave analysis, renormalization theory, and a rigorous decomposition of the perturbations of these wave solutions into a phase mode, which shows diffusive behavior, and an exponentially damped remainder. Depending on the dispersion relation, the asymptotic states mix linearly with a Gaussian profile at lowest order or with a nonsymmetric non-Gaussian profile given by Burgers equation, which is the amplitude equation of the diffusive modes in the case of a nontrivial dispersion relation.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Diffusive mixing of periodic wave trains in reaction-diffusion systems does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Diffusive mixing of periodic wave trains in reaction-diffusion systems, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Diffusive mixing of periodic wave trains in reaction-diffusion systems will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-204982

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.