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Generalized Solutions to Semilinear Elliptic PDE with Applications to the Lichnerowicz Equation

机译:半线性椭圆偏微分方程的广义解及其应用   Lichnerowicz方程

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摘要

In this article we investigate the existence of a solution to a semilinear,elliptic, partial differential equation with distributional coefficients anddata. The problem we consider is a generalization of the Lichnerowicz equationthat one encounters in studying the constraint equations in general relativity.Our method for solving this problem consists of solving a net of regularized,semilinear problems with data obtained by smoothing the original,distributional coefficients. In order to solve these regularized problems, wedevelop a priori pointwise bounds and sub- and super-solutions and then apply afixed-point argument for order-preserving maps. We then show that the net ofsolutions obtained through this process satisfies certain decay estimates bydetermining estimates for the sub- and super-solutions and by utilizingclassical, a priori elliptic estimates. The estimates for this net of solutionsallow us to regard this collection of functions as a solution in aColombeau-type algebra. We motivate this Colombeau algebra framework by firstsolving an ill-posed critical exponent problem. To solve this ill-posedproblem, we use a collection of smooth, "approximating" problems and then usethe resulting sequence of solutions and a compactness argument to obtain asolution to the original problem. This approach is modeled after the moregeneral Colombeau framework that we develop, and it conveys the potential thatsolutions in these abstract spaces have for obtaining classical solutions toill-posed nonlinear problems with irregular data.
机译:在本文中,我们研究了具有分布系数和数据的半线性,椭圆型,偏微分方程的解的存在性。我们考虑的问题是在广义相对论中研究约束方程时遇到的Lichnerowicz方程的推广。我们解决此问题的方法包括用通过平滑原始分布系数获得的数据来解决正规化半线性问题。为了解决这些正则化问题,我们开发了先验的点状界以及子解和超解,然后将不动点参数应用于保序映射。然后,我们表明通过确定子解决方案和超级解决方案的估算并利用经典的先验椭圆估算,通过此过程获得的求解净值满足某些衰减估算。此解决方案网络的估计值使我们能够将此函数集合视为库隆博式代数中的解决方案。我们通过首先解决一个不适定的临界指数问题来激发这种Colombeau代数框架。为了解决这个不适定的问题,我们使用了光滑的“近似”问题的集合,然后使用所得的解决方案序列和紧致度参数来获得对原始问题的解决方案。该方法以我们开发的更通用的Colombeau框架为模型,它传达了这些抽象空间中的解决方案对于获得具有不规则数据的不适定非线性问题的经典解决方案所具有的潜力。

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