Self-similarity and long-time behavior of solutions of the diffusion equation with nonlinear absorption and a boundary source

Mathematics – Analysis of PDEs

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

This paper deals with the long-time behavior of solutions of nonlinear reaction-diffusion equations describing formation of morphogen gradients, the concentration fields of molecules acting as spatial regulators of cell differentiation in developing tissues. For the considered class of models, we establish existence of a new type of ultra-singular self-similar solutions. These solutions arise as limits of the solutions of the initial value problem with zero initial data and infinitely strong source at the boundary. We prove existence and uniqueness of such solutions in the suitable weighted energy spaces. Moreover, we prove that the obtained self-similar solutions are the long-time limits of the solutions of the initial value problem with zero initial data and a time-independent boundary source.

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

Self-similarity and long-time behavior of solutions of the diffusion equation with nonlinear absorption and a boundary source 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 Self-similarity and long-time behavior of solutions of the diffusion equation with nonlinear absorption and a boundary source, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Self-similarity and long-time behavior of solutions of the diffusion equation with nonlinear absorption and a boundary source will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-603639

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