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arXiv 1904.11348math.AP
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最小梯度函数的$L^p$正则性

$L^p$ regularity of least gradient functions

Wojciech Górny

摘要:

结果表明,解决方案的各向异性最小梯度问题的边界数据$f \in L^p(\partialΩ)$位于$L^{\frac{Np}{N-1}}(Ω)$的指数是最佳的。此外,该解决方案被证明是本地有界的明确边界上的解决方案的爆破率在两个设置:在各向异性的情况下,在平面上和在各向同性的情况下,在任何维度。

英文摘要:

It is shown that solutions to the anisotropic least gradient problem for boundary data $f \in L^p(\partialΩ)$ lie in $L^{\frac{Np}{N-1}}(Ω)$; the exponent is shown to be optimal. Moreover, the solutions are shown to be locally bounded with explicit bounds on the rate of blow-up of the solution near the boundary in two settings: in the anisotropic case on the plane and in the isotropic case in any dimension.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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