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辛普森法则的多重积分版本

A Version of Simpson's Rule for Multiple Integrals

Alan Horwitz

AI总结:

本文将辛普森法则推广到多重积分,通过中点法则与梯形法则的凸组合,并选择参数t使求积法则对高次多项式精确,推导了n单纯形和单位n立方体的求积公式。

摘要:

设M(f)表示中点法则,T(f)表示用于估计积分∫_a^b f(x) dx的梯形法则。则辛普森法则 = tM(f) + (1-t)T(f),其中t = 2/3。我们将辛普森法则推广到多重积分如下。设D为R^n中的某个多边形区域,设P_0,...,P_m表示D的顶点,并设P_(m+1) = D的质心。定义线性泛函M(f) = Vol(D)f(P_(m+1)),它推广了中点法则,以及T(f) = Vol(D)(1/(m+1))∑(f(P_j), j = 0,...,m),它推广了梯形法则。最后,我们对辛普森法则的推广由求积法则(CR) L_t = tM(f) + (1-t)T(f)给出,其中t在[0,1]中。我们根据D选择t,使得L_t对尽可能高次的多项式精确。特别地,我们推导了n单纯形和单位n立方体的求积法则。

英文摘要:

Let M(f) denote the Midpoint Rule and T(f) the Trapezoidal Rule for estimating integral_a^b f(x) dx. Then Simpson's Rule = tM(f) + (1-t)T(f), where t = 2/3. We generalize Simpson's Rule to multiple integrals as follows. Let D be some polygonal region in R^n, let P_0,...,P_m denote the vertices of D, and let P_(m+1) = center of mass of D. Define the linear functionals M(f) = Vol(D)f(P_(m+1)), which generalizes the Midpoint Rule, and T(f) = Vol(D)(1/(m+1))sum(f(P_j), j = 0,...,m), which generalizes the Trapezoidal Rule. Finally, our generalization of Simpson's Rule is given by the cubature rule(CR) L_t = tM(f) + (1-t)T(f), for t in [0,1]. We choose t, depending on D, so that L_t is exact for polynomials of as large a degree as possible. In particular we derive CRs for the n simplex and unit n cube.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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