Optimal Regularity for Lagrangian Mean Curvature Type Equations

IF 2.6 1区 数学 Q1 MATHEMATICS, APPLIED
Arunima Bhattacharya, Ravi Shankar
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引用次数: 0

Abstract

We classify regularity for Lagrangian mean curvature type equations, which include the potential equation for prescribed Lagrangian mean curvature and those for Lagrangian mean curvature flow self-shrinkers and expanders, translating solitons, and rotating solitons. Convex solutions of the second boundary value problem for certain such equations were constructed by Brendle-Warren (J Differ Geom 84(2):267-287, 2010), Huang (J Funct Anal 269(4):1095-1114, 2015), and Wang-Huang-Bao (Calc Var Partial Differ Equ 62(3):74 2023). We first show that convex viscosity solutions are regular provided the Lagrangian angle or phase is \(C^2\) and convex in the gradient variable. We next show that for merely Hölder continuous phases, convex solutions are regular if they are \(C^{1,\beta }\) for sufficiently large \(\beta \). Singular solutions are given to show that each condition is optimal and that the Hölder exponent is sharp. Along the way, we generalize the constant rank theorem of Bian and Guan to include arbitrary dependence on the Legendre transform.

拉格朗日平均曲率型方程的最优正则性
我们对拉格朗日均值曲率类型方程的正则性进行了分类,其中包括规定拉格朗日均值曲率的势方程和拉格朗日均值曲率流自收缩和自膨胀、平移孤子和旋转孤子方程。Brendle-Warren(J Differ Geom 84(2):267-287, 2010)、Huang(J Funct Anal 269(4):1095-1114, 2015)和王煌宝(Calc Var Partial Differ Equ 62(3):74 2023)构建了某些此类方程的第二边界值问题的凸解。我们首先证明,只要拉格朗日角或相位是 \(C^2\)并且在梯度变量中是凸的,凸粘性解就是正则的。接下来我们证明,对于单纯的霍尔德连续相,如果凸解在足够大的\(\beta \)条件下是\(C^{1,\beta }\) 的,那么凸解就是正则的。我们给出了奇异解,以证明每个条件都是最优的,而且霍尔德指数是尖锐的。同时,我们将 Bian 和 Guan 的常秩定理推广到包括对 Legendre 变换的任意依赖。
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来源期刊
CiteScore
5.10
自引率
8.00%
发文量
98
审稿时长
4-8 weeks
期刊介绍: The Archive for Rational Mechanics and Analysis nourishes the discipline of mechanics as a deductive, mathematical science in the classical tradition and promotes analysis, particularly in the context of application. Its purpose is to give rapid and full publication to research of exceptional moment, depth and permanence.
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