Thresholds on growth of nonlinearities and singularity of initial functions for semilinear heat equations
Yasuhito Miyamoto, Masamitsu Suzuki

TL;DR
This paper investigates the conditions under which solutions exist or do not exist for semilinear heat equations with nonlinearities and initial functions that may be singular, providing sharp criteria and classifications.
Contribution
It establishes sharp integrability conditions for initial data and classifies existence and nonexistence for a broad class of nonlinearities, including critical and doubly critical cases.
Findings
Sharp integrability conditions for initial data in critical cases
Complete classification for nonlinearities of the form u^{1+2/N} (log(u+e))^{β}
Extension of results to the closure of bounded uniformly continuous functions in L^r_{ul}( abla)
Abstract
Let and let be a nonnegative nondecreasing function and be a possibly singular nonnegative initial function. We are concerned with existence and nonexistence of a local in time nonnegative solution in a uniformly local Lebesgue space of a semilinear heat equation \[ \begin{cases} \partial_tu=\Delta u+f(u) & \textrm{in}\ \mathbb{R}^N\times(0,T),\\ u(x,0)=u_0(x) & \textrm{in}\ \mathbb{R}^N \end{cases} \] under mild assumptions on . A relationship between a growth of and an integrability of is studied in detail. Our existence theorem gives a sharp integrability condition on in a critical and subcritical cases, and it can be applied to a regularly or rapidly varying function . In a doubly critical case existence and nonexistence of a nonnegative solution can be determined by special treatment. When ,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNonlinear Partial Differential Equations · advanced mathematical theories · Advanced Mathematical Modeling in Engineering
