A condition for the unique solvability of nonlocal boundary value problems for systems of functional-differential equations

K. Usmanov
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Abstract

When considering non-local boundary value problems for functional-differential equations, when the derivative of the desired function is contained in the right side, one could use the resolvent of the integral equation. But, as is known, the resolvent of an integral equation of the second kind of the Fredholm type cannot always be uniquely determined. In some cases, you can use the properties of the kernel of the integro-differential equation. In this paper, we consider a nonlocal boundary value problem for systems of integro-differential equations with involution, when the kernel of the integral term containing the derivative has a partial derivative. Using the properties of an involutive transformation, the problem is reduced to the study of a multipoint boundary value problem for systems of integro-differential equations. The parameterization method proposed by Professor D. Dzhumabaev was applied to this problem. New parameters are introduced, and based on these parameters, we pass to new variables. When passing to new variables, we obtain the initial conditions for the initial equation. With the help of this condition, it is possible to determine the solution of the resulting Cauchy problem, as well as the system of linear equations. Applying the Fredholm theory to solve the obtained systems of integral equations, i.e. the unique solvability of the problem under study, we reduce to the reversibility of the matrix, which depends on the initial data. An example was shown as an illustration of the proposed method.
泛函微分方程组非局部边值问题唯一可解性的一个条件
当考虑泛函微分方程的非局部边值问题时,当期望函数的导数包含在右侧时,可以使用积分方程的解。但是,众所周知,第二类Fredholm型积分方程的解不能总是唯一确定的。在某些情况下,你可以使用积分微分方程核函数的性质。研究了一类具有对合性的积分-微分方程组的非局部边值问题,其中包含导数的积分项的核具有偏导数。利用对合变换的性质,将该问题简化为研究积分-微分方程组的多点边值问题。D. Dzhumabaev教授提出的参数化方法应用于该问题。引入新的参数,并根据这些参数传递给新的变量。当传递给新变量时,我们得到了初始方程的初始条件。在这个条件的帮助下,可以确定所产生的柯西问题的解,以及线性方程组。应用Fredholm理论求解得到的积分方程组,即所研究问题的唯一可解性,我们将其简化为矩阵的可逆性,它依赖于初始数据。最后通过一个算例说明了所提出的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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