Pith. sign in

REVIEW 1 cited by

Optimal global second-order regularity and improved integrability for parabolic equations with variable growth

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2305.10877 v3 pith:EJTGDF6T submitted 2023-05-18 math.AP

classification math.AP
keywords nablaomegaparabolicfracglobalgrowthproblemregularity
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
abstract

We consider the homogeneous Dirichlet problem for the parabolic equation \[ u_t- \operatorname{div} \left(|\nabla u|^{p(x,t)-2} \nabla u\right)= f(x,t) + F(x,t, u, \nabla u) \] in the cylinder $Q_T:=\Omega\times (0,T)$, where $\Omega\subset \mathbb{R}^N$, $N\geq 2$, is a $C^{2}$-smooth or convex bounded domain. It is assumed that $p\in C^{0,1}(\overline{Q}_T)$ is a given function, and that the nonlinear source $F(x,t,s, \xi)$ has a proper power growth with respect to $s$ and $\xi$. It is shown that if $p(x,t)>\frac{2(N+1)}{N+2}$, $f\in L^2(Q_T)$, $|\nabla u_0|^{p(x,0)}\in L^1(\Omega)$, then the problem has a solution $u\in C^0([0,T];L^2(\Omega))$ with $|\nabla u|^{p(x,t)} \in L^{\infty}(0,T;L^1(\Omega))$, $u_t\in L^2(Q_T)$, obtained as the limit of solutions to the regularized problems in the parabolic H\"older space. The solution possesses the following global regularity properties: \[ \begin{split} & |\nabla u|^{2(p(x,t)-1)+r}\in L^1(Q_T)\quad \text{for any $0 < r < \frac{4}{N+2}$}, \\ & |\nabla u|^{p(x,t)-2} \nabla u \in W^{1,2}(Q_T)^N. \end{split} \]

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. TS-RAG: Retrieval Augmented Generation for Time Series Forecasting

    cs.AI 2026-08 conditional novelty 4.0 of 10

    A retrieval-augmented transformer with learned reference tokens shows marginal average MSE improvement over strong baselines on six time series benchmarks.

Pith tools