A parabolic model in the form of space states of the dynamics of savings

G. Abdenova, K. Bazikova, Zhangul Kenzhegalym
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Abstract

An important place in the theory of partial differential equations and its applications is occupied by the heat equation, a representative of the class of the so-called parabolic equations. It is known that to check the correctness of a mathematical model based on a parabolic equation, the existence of its solution is very important since a mathematical model is not always adequate to a specific phenomenon and the existence of a solution to a corresponding mathematical problem does not follow from the existence of a solution to a real applied problem. Therefore, methods for solving partial differential equations, both analytical and numerical, are always relevant. Nowadays, a computational experiment has become a powerful tool for theoretical research. It is carried out over a mathematical model of the object under study, but at the same time, other parameters are calculated using one of the parameters of the model and conclusions are drawn about the properties of the object or phenomenon under study. The problem of passive parametric identification of systems with distributed parameters for resource accumulation dynamics of many households using a stochastic distributed model in the form of a state space with regard to the white noise of the dynamics model of the object under study and the white noise of the model of a linear-type measuring system is considered in the paper. The use of the finite difference method allowed us to reduce the solution of partial differential equations of a parabolic type to the solution of a system of linear finite difference and algebraic equations represented by models in the form of a state space. It was also proposed to use a filtering algorithm based on the Kalman scheme for reliable estimation of the object behavior. Calculations were carried out using the Matlab mathematical system based on statistical data for five years, taken from the site “Agency for Strategic Planning and Reforms of the Republic of Kazakhstan Bureau of National Statistics”. Estimation of the coefficients of the equations for the household resource accumulation in the form of a state space using this technique is sufficiently universal and can be applied in other fields of science and technology.
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一个以空间状态的抛物线形式的储蓄动力学模型
在偏微分方程理论及其应用中占有重要地位的是热方程,它是所谓抛物型方程的代表。众所周知,为了检验基于抛物方程的数学模型的正确性,其解的存在性是非常重要的,因为数学模型并不总是适合于特定的现象,并且对应的数学问题的解的存在性并不遵循实际应用问题的解的存在性。因此,解决偏微分方程的方法,无论是解析的还是数值的,总是相关的。如今,计算实验已经成为理论研究的有力工具。它是在研究对象的数学模型上进行的,但同时,使用模型中的一个参数计算其他参数,并得出关于所研究对象或现象的性质的结论。本文考虑了多户资源积累动态系统在状态空间形式下的随机分布模型的被动参数辨识问题,该问题考虑了被研究对象动态模型的白噪声和线性测量系统模型的白噪声。有限差分法的使用使我们能够将抛物型偏微分方程的解简化为用状态空间形式的模型表示的线性有限差分和代数方程系统的解。并提出了一种基于卡尔曼格式的滤波算法来可靠地估计目标行为。使用Matlab数学系统根据“哈萨克斯坦共和国国家统计局战略规划和改革机构”网站的五年统计数据进行计算。利用该方法以状态空间的形式估计家庭资源积累方程的系数具有足够的通用性,可以应用于其他科学技术领域。
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