论一些线性二维 Volterra 第一类积分方程

S. V. Solodusha
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引用次数: 0

摘要

摘要 识别 Volterra 核的问题是基于 Volterra 级数工具构建非线性动力学系统积分模型的一个重要阶段。本文讨论了一类新的二维积分方程,该方程是在恢复二阶 Volterra 多项式中的非对称核时产生的,其中(x(t) \)是时间的输入矢量函数。选择用于解决这一问题的测试信号的策略是基于应用片断线性函数(具有上升沿)。针对所选类型的第一类 Volterra 方程,构建了一个具有可变积分极限的显式反演公式。研究了类(C_{[0,T]} \)中相应方程的解的存在性和唯一性问题。
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On Some Linear Two-Dimensional Volterra Integral Equations of the First Kind

The problem of identifying Volterra kernels is an important stage in the construction of integral models of nonlinear dynamical systems based on the tool of Volterra series. The paper considers a new class of two-dimensional integral equations that arise when recovering nonsymmetric kernels in a Volterra polynomial of the second degree, where \( x(t) \) is the input vector function of time. The strategy for choosing test signals used to solve this problem is based on applying piecewise linear functions (with a rising edge). An explicit inversion formula is constructed for the selected type of Volterra equations of the first kind with variable integration limits. The questions of existence and uniqueness of solutions of the corresponding equations in the class \( C_{[0,T]} \) are studied.

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来源期刊
Journal of Applied and Industrial Mathematics
Journal of Applied and Industrial Mathematics Engineering-Industrial and Manufacturing Engineering
CiteScore
1.00
自引率
0.00%
发文量
16
期刊介绍: Journal of Applied and Industrial Mathematics  is a journal that publishes original and review articles containing theoretical results and those of interest for applications in various branches of industry. The journal topics include the qualitative theory of differential equations in application to mechanics, physics, chemistry, biology, technical and natural processes; mathematical modeling in mechanics, physics, engineering, chemistry, biology, ecology, medicine, etc.; control theory; discrete optimization; discrete structures and extremum problems; combinatorics; control and reliability of discrete circuits; mathematical programming; mathematical models and methods for making optimal decisions; models of theory of scheduling, location and replacement of equipment; modeling the control processes; development and analysis of algorithms; synthesis and complexity of control systems; automata theory; graph theory; game theory and its applications; coding theory; scheduling theory; and theory of circuits.
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