拉格朗日
雅可比法
非线性系统
乘数(经济学)
哈密顿量(控制论)
数学
变量(数学)
应用数学
拉格朗日乘数
哈密顿-雅可比方程
微分方程
数学分析
数学物理
物理
数学优化
量子力学
宏观经济学
经济
作者
M. C. Nucci,K. M. Tamizhmani
标识
DOI:10.48550/arxiv.0807.2791
摘要
We present a method devised by Jacobi to derive Lagrangians of any second-order differential equation: it consists in finding a Jacobi Last Multiplier. We illustrate the easiness and the power of Jacobi's method by applying it to the same equation studied by Musielak et al. with their own method [Musielak ZE, Roy D and Swift LD. Method to derive Lagrangian and Hamiltonian for a nonlinear dynamical system with variable coefficients. Chaos, Solitons & Fractals, 2008;58:894-902]. While they were able to find one particular Lagrangian after lengthy calculations, Jacobi Last Multiplier method yields two different Lagrangians (and many others), of which one is that found by Musielak et al, and the other(s) is(are) quite new.
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