用于时间尺度优化问题变分法的纳布拉导数欧拉-拉格朗日方程

IF 3.1 3区 数学 Q1 MATHEMATICS Advances in Difference Equations Pub Date : 2024-09-03 DOI:10.1186/s13662-024-03832-5
Jie Bai, Zhijun Zeng
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引用次数: 0

摘要

本文研究了时间尺度框架内使用 nabla(表示为 ∇)的变分法。通过采用两种不同的方法,我们推导出了涉及指数函数的一阶变分法优化问题的欧拉-拉格朗日方程,以及同时涉及指数函数及其∇-衍生物的优化问题的欧拉-拉格朗日方程。为了建立优化问题的高阶变分法,我们提出了∇-导数的莱布尼兹公式及其证明。此外,我们还确定了包含指数函数∇-衍生的优化问题的高阶变分法。通过这些分析,我们旨在促进对时间尺度上的变分法的理解和应用,为受指数函数及其导数支配的动态系统的行为提供见解。
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The Euler-Lagrange equations of nabla derivatives for variational approach to optimization problems on time scales

This paper investigates the variational approach using nabla (denoted as ∇) within the framework of time scales. By employing two different methods, we derive the Euler-Lagrange equations for first-order variational approach to optimization problems involving exponential functions, as well as for those with both exponential functions and their ∇-derivatives. To establish the high-order variational approach to optimization problem, we present the Leibniz Formula for ∇-derivatives along with its proof. Additionally, we determine the high-order variational approach to optimization problem incorporating ∇-derivatives of exponential functions. Through these analyses, we aim to contribute to the understanding and application of the variational calculus on time scales, offering insights into the behavior of dynamic systems governed by exponential functions and their derivatives.

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来源期刊
Advances in Difference Equations
Advances in Difference Equations MATHEMATICS, APPLIED-MATHEMATICS
CiteScore
8.60
自引率
0.00%
发文量
0
审稿时长
4-8 weeks
期刊介绍: The theory of difference equations, the methods used, and their wide applications have advanced beyond their adolescent stage to occupy a central position in applicable analysis. In fact, in the last 15 years, the proliferation of the subject has been witnessed by hundreds of research articles, several monographs, many international conferences, and numerous special sessions. The theory of differential and difference equations forms two extreme representations of real world problems. For example, a simple population model when represented as a differential equation shows the good behavior of solutions whereas the corresponding discrete analogue shows the chaotic behavior. The actual behavior of the population is somewhere in between. The aim of Advances in Difference Equations is to report mainly the new developments in the field of difference equations, and their applications in all fields. We will also consider research articles emphasizing the qualitative behavior of solutions of ordinary, partial, delay, fractional, abstract, stochastic, fuzzy, and set-valued differential equations. Advances in Difference Equations will accept high-quality articles containing original research results and survey articles of exceptional merit.
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