LA TRANSFORMADA DE LAPLACE EN LA SOLUCIÓN DE ECUACIONES DIFERENCIALES CON ALGORITMO DE CÁLCULO EN MATHCAD

J. A. M. Alfonso, Carlos Rodríguez
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Abstract

In the history of Mathematics, frequently happens that certain topics (especially the numeric calculation) has perfectly defined its theoretical solution, but the heap of operations to find a conclusive result, in multiple occasions, don’t allow to arrive to the final results. The solution of differential equations represents a demonstrative example. At the end of the XIX century, the electricity was a fundamental theme in the society and every time new situations appeared that complicates the solution of technical problems, especially with the theory of the electric circuits, where was necessary solving differential equations with classic methods, making intense use of the techniques of integration and derivation, which constituted, in multiple occasions, a remarkable obstacle from the engendering point of view, and it was at the end of the century when an English electrical engineer established a group of practical rules to arrive to this solutions without necessity of using the basics of calculus. Although these rules propitiated the solutions, was necessary to do complex algebraic operations, in occasions, long and tedious, so, comparatively, it was not clear which procedure would be the best. At the present time, with the support of mathematical software, especially Mathcad, we can arrive to this solution in a quick way and with a high grade of precision. In the present text is described an algorithmic procedure to find the solution of differential equations with initial conditions, applying the transformed of Laplace. DOI: http://dx.doi.org/10.21017/rimci.2019.v6.n12.a64
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用MATHCAD计算算法求解微分方程的拉普拉斯变换
在数学的历史上,经常发生这样的情况:某些题目(特别是数值计算)已经完美地定义了它的理论解,但是为了找到一个结论性的结果而进行的成堆的运算,在很多情况下,不允许到达最终的结果。微分方程的解就是一个说明问题的例子。在十九世纪末,电是社会的一个基本主题,每次出现新的情况,使技术问题的解决复杂化,特别是在电路理论中,需要用经典方法求解微分方程,大量使用积分和导数技术,这在很多场合构成了一个显著的障碍,从产生的角度来看,直到19世纪末,一位英国电气工程师才建立了一套实用的规则,以便在不使用微积分基础知识的情况下得出这个答案。虽然这些规则有利于求解,但在进行复杂的代数运算时是必要的,有时冗长而繁琐,因此,相对而言,哪一种方法是最好的并不明确。目前,在数学软件特别是Mathcad的支持下,我们可以快速、高精度地得到这个解。本文描述了利用拉普拉斯变换求初值条件下微分方程解的一种算法过程。DOI: http://dx.doi.org/10.21017/rimci.2019.v6.n12.a64
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