当前位置:
X-MOL 学术
›
Appl. Math. Lett.
›
论文详情
Our official English website, www.x-mol.net, welcomes your
feedback! (Note: you will need to create a separate account there.)
Optimal fractional differentiability for nonlinear parabolic measure data problems
Applied Mathematics Letters ( IF 2.9 ) Pub Date : 2020-10-10 , DOI: 10.1016/j.aml.2020.106816 Sun-Sig Byun , Namkyeong Cho , Kyeong Song
中文翻译:
非线性抛物线测度数据问题的最优分数微分
更新日期:2020-10-16
Applied Mathematics Letters ( IF 2.9 ) Pub Date : 2020-10-10 , DOI: 10.1016/j.aml.2020.106816 Sun-Sig Byun , Namkyeong Cho , Kyeong Song
We study a nonlinear parabolic equation with a finite Radon measure on the right-hand side. An optimal regularity assumption on the coefficients is identified to obtain a sharp fractional differentiability for such a parabolic measure data problem.
中文翻译:
非线性抛物线测度数据问题的最优分数微分
我们研究了在右侧具有有限Radon测度的非线性抛物方程。确定针对系数的最佳正则性假设,以针对此类抛物线度量数据问题获得明显的分数可微性。