随机脉冲leontief型模型的数值研究

IF 2.4 Q2 MULTIDISCIPLINARY SCIENCES Smart Science Pub Date : 2021-05-09 DOI:10.1080/23080477.2021.1921469
Jawad Tahir
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引用次数: 0

摘要

摘要本文研究了一个具有脉冲的随机Leontief模型,该模型由一组随机微分代数方程组表示,在矩形常数值矩阵的两侧形成一个奇异铅笔。该系统是根据解的当前速度来考虑的,这是确定性过程的物理速度的直接模拟。本工作中提出的方法不对Leontief型系统中包含的矩阵的大小和形式施加限制。用系数矩阵将铅笔的Kroenke-Weierstrass变换为正则形式,简化了方程组的研究。本研究还涉及两种方法:首先,使用随机微分方程,然后使用所谓的Nelson随机过程的平均导数来描述该方程的解。这项工作的显著特点提出了一种基于理论结果与精确结果收敛的方法。研究结果表明,得到了解的显式公式和可解条件,并得到了关于对称导数的子系统的显式解和可解性条件。在系统系数的一定条件下,证明了系统解的存在性定理。对模型进行计算实验,验证了所提方法的有效性。矩阵奇异值的误差、最大值和最小值。图形摘要
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Numerical Study of Stochastic Leontief-Type Model with Impulses
ABSTRACT In this article, a stochastic Leontief model with impulses has been studied, which is represented by a system of stochastic differential-algebraic equations, in both sides of the rectangular constant numerical matrices that form a singular pencil. The system has been considered in terms of the current velocity of the solution, which is a direct analog of the physical velocity of deterministic processes. The proposed approach in this work does not impose restrictions on the size and the form of the matrices included in the Leontief-type system. The Kroenke-Weierstrass transformation of the pencil was conducted by the coefficient matrices to the canonical form has been used to simplify the study of equations. This study also involves two methods: Firstly, using a stochastic differential equation, this was followed by using the so-called mean derivatives of Nelson random processes to describe the solutions of this equation. The distinguishing feature of the work proposed an approach based on the convergence of the theoretical results to the exact one. The findings show that explicit formulas for solutions and solvability conditions are obtained, and for a subsystem resolved with respect to the symmetric derivative. The theorem of existence of solutions for the system under consideration has been proved under certain conditions on the coefficients of the system. Conducting computational experiments on the model confirming the effectiveness of the proposed approach. Error, maximum and minimum of the singular values of matrices. GRAPHICAL ABSTRACT
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来源期刊
Smart Science
Smart Science Engineering-Engineering (all)
CiteScore
4.70
自引率
4.30%
发文量
21
期刊介绍: Smart Science (ISSN 2308-0477) is an international, peer-reviewed journal that publishes significant original scientific researches, and reviews and analyses of current research and science policy. We welcome submissions of high quality papers from all fields of science and from any source. Articles of an interdisciplinary nature are particularly welcomed. Smart Science aims to be among the top multidisciplinary journals covering a broad spectrum of smart topics in the fields of materials science, chemistry, physics, engineering, medicine, and biology. Smart Science is currently focusing on the topics of Smart Manufacturing (CPS, IoT and AI) for Industry 4.0, Smart Energy and Smart Chemistry and Materials. Other specific research areas covered by the journal include, but are not limited to: 1. Smart Science in the Future 2. Smart Manufacturing: -Cyber-Physical System (CPS) -Internet of Things (IoT) and Internet of Brain (IoB) -Artificial Intelligence -Smart Computing -Smart Design/Machine -Smart Sensing -Smart Information and Networks 3. Smart Energy and Thermal/Fluidic Science 4. Smart Chemistry and Materials
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