A Degree Theory for Lagrangian Boundary Value Problems

Ammar Alsaedy, N. Tarkhanov, Аммар Аль-Саеди, Николай Тарханов
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Abstract

Distribution theory steams from weak solutions of linear differential equations and it is hardly efficient for nonlinear equations. The use of distributions is actually difficult in linear boundary value problems, for no canonical duality theory is available for manifolds with boundary X . The scale of Sobolev-Slobodetskij spaces W (X ) makes it possible to consider the restrictions of functions to the boundary surface, however, these latter are defined only if s − 1/p > 0. To go beyond this range, one applies integral equalities obtained by manipulation of the Green formula. The study of general boundary value problems for differential equations in Sobolev-Slobodetskij spaces of negative smoothness goes back at least as far as [22]. For a boundary value problem, the Green formula is determined uniquely up to the counterpart of boundary data within the entire Cauchy data, see [26, 9.2.2]. This allows one to avoid much ambiguity in the choice of formal adjoint boundary value problem and to set up duality. As a result one is in a position to introduce weak solutions of the boundary value problem, see for instance Section 9.3.1 ibid. and elsewhere. The Cauchy data of a weak solution to an overdetermined elliptic system in the interior of X are proved to possess weak boundary values at ∂X if and only if the solution is of finite order of growth near the boundary surface, see [26, 9.3.6]. When considering a boundary value problem for a nonlinear equation, one has no good guide to an appropriate concept of weak solution. Perhaps one has to pass to the linearised problem. In any case the definition of a weak solution is implicitly contained in the variational setting of the boundary value problem. If the problem itself fails to be Lagrangian, it can be relaxed to variational one. It is just the task of experienced researcher to recover the concept of weak solution in the variational formulation, see [2].
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拉格朗日边值问题的一个度理论
分布理论来源于线性微分方程的弱解,而对于非线性方程,分布理论几乎是无效的。在线性边值问题中使用分布实际上是困难的,因为对于边界为X的流形没有正则对偶理论可用。Sobolev-Slobodetskij空间W (X)的尺度使得考虑函数对边界面的限制成为可能,然而,这些限制只有在s−1/p > 0时才有定义。要超越这个范围,可以应用由格林公式得到的积分等式。负光滑Sobolev-Slobodetskij空间中微分方程一般边值问题的研究至少可以追溯到[22]。对于边值问题,Green公式是在整个Cauchy数据中,直到边界数据的对应项为止唯一确定的,见[26,9.2.2]。这使得人们在选择形式伴随边值问题时避免了许多歧义,并建立了对偶性。因此,我们可以引入边值问题的弱解,例如参见第9.3.1节,同上和其他地方。证明了X内部超定椭圆系统弱解的Cauchy数据在∂X处具有弱边值,当且仅当该解在边界表面附近具有有限阶增长,参见[26,9.3.6]。当考虑非线性方程的边值问题时,对于弱解的适当概念没有很好的指导。也许我们要转到线性化的问题。在任何情况下,弱解的定义都隐式地包含在边值问题的变分集中。如果问题本身不是拉格朗日问题,它可以松弛为变分问题。在变分公式中恢复弱解的概念只是有经验的研究者的任务,参见[2]。
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