以“曲径通幽”的方式讲解傅里叶级数

不同于教材中的讲解方法，在实际教学中先讲正弦级数和余弦级数后过渡到一般的傅里叶级数.这种做法有助于学生掌握傅里叶级数所蕴含的思想方法.     

用Fourier─Bessel级数求解DiNi级数方程

在航天器中，运用圆环型防晃挡板抑制推进剂的晃动。推进剂在带有圆环防晃挡板的圆柱容器中的动力特性。可由液体的势函数确定，而势函数中的系数的确定可以转化为ＤｉＮｉ级数系数的确定。以往只研究液体在容器中作微小晃动，从而只取级数的第一项来近似。本文介绍了一种求ＤｉＮｉ级数组系数的方法，它的基本思想是在防晃挡板上面设计一分段函数，用Ｆｏｕｒｉｅｒ—Ｂｅｓｓｅｌ级数将其展开，再利用圆柱函数的特性，将ＤｉＮｉ级数组的求解问题转化为一组线性方程     

泰勒级数 傅里叶级数 沃尔什级数的比较分析

从泰勒公式的概念入手,介绍泰勒级数、傅里叶级数和沃尔什级数的基本概念,通过在函数逼近中的效果对比,说明泰勒级数、傅里叶级数和沃尔什级数在函数逼近应用中的异同.     

关于级数的求和方法

高等数学关于级数的研究中，讨论了常数项级数的敛散性以及函数项级数的收敛域．但对收敛的常数项级数的求和以及在收敛域内如何求函数项级数的和函数讨论不多．级数的求和方法比较多，技巧性也比较强，下面介绍常用的有效的级数求和方法。     

关于级数的求和方法

关于级数的求和方法邹家富（大连陆军学院数理教研室，大连１１６１００）高等数学关于级数的研究中，讨论了常数项级数的敛散性以及函数项级数的收敛域，但对收敛的常数项级数的求和以及在收敛域内如何求函数项级数的和函数讨论不多．级数的求和方法比较多，技巧性也比较...     

数项级数项的重组及其对级数敛散性的影响

对级数为任意实数）的项进行某种重新组合，会影响级数的敛散性吗，本文将就这个有趣的问题进行讨论。一、若不改变级数项的排序，只对级数的项加括弧来重新组合，则1．原来收敛的级数加括弧后仍是收敛的，且和不变。这是收敛级数的一个基本性质（参见一般高等数学教材），利用这个结论，可以判断一些级数的敛散性。例1已知，讨论级数上的敛散性。解对级数已的项加括弧，由结论1知，级数上收敛，且其和为——一c”2，zZ，Z＋1”’———”——””‘””“““““－2．对敛散性未知的级数若加括弧后收敛．原级数仍可能发散。例如级数门一1…     

牛曼─贝塞尔级数的共轭级数

本文讨论了牛曼─贝塞尔级数的共轭级数，建立了其部分和与相应的共轭Ｆｏｕｒｉｅｒ三角级数的部分和之间的关系，同时给出了两个收敛定理。     

牛曼-贝塞尔级数的共轭级数

本文讨论了牛曼-贝塞尔级数的共轭级数，建立了其部分和与相应的共轭Fourier三角级数的部分和之间的关系，同时结出了两个收敛定理。     

一类正项级数收敛的充要条件

我们知道，要判定一个数项级数是否收敛有许多种方法，但这些方法大都只给出了级数收敛或发散的充分条件，这里我们对一类较特殊的常数项级数给出级数收敛的一个充要条件。定理设f（x）在某个［0，δ］内二阶可导，f（x）≥0，则级数收敛的充要条件是f（0）＝0，f’（0）＝0。证明必要性设级数收敛，则，若f'（0）=α0，充分性设，由Lagrange中值定理知存在，使例1讨论级数的敛散性。若，即，不妨设f'（0）＞0，因而存在δ＞0，当0≤x＜δ时，有f'（X）＞0，所以f（x）＞0，由定理级数发散。若f'（0）＜0，同理可提级数发散。。。“”9。。…     

正项矩阵级数的敛散性研究

本研究了正项矩阵级数收敛的充要条件，从而把正项级数的收敛原理推广到了正项矩阵级数的情形。     

On the generation of high-quality white noise series

A new approach to the simulation of white-noise time-series is presented. The approach is based on the frequency-domain property of white-noise as having a flat power spectrum density (PSD). From such a PSD, a linear complex spectrum of random-phase multisinusoidal series (MS) may be generated. Next, the fast Fourier transform is applied to this linear spectrum to generate a random-phase multisinusoidal N-sample series, simulating the white-noise series. The properties of some MS series are discussed including a gaussian white noise multisinusoidal series. The idea is illustrated by a number of examples. They demonstrate that the spectral and correlation properties of such series are enhanced in comparison to the properties of the random phases used to generate them. They also demonstrate that the spectral and correlation properties of such series are better, especially for short series, in comparison with standard white noise generators.     

Nonparametric estimation of the spectral density of amplitude-modulated time series with missing observations

Consider a real-valued and second-order stationary time series with mean zero. The aim is to estimate its spectral density. A minimax solution of this problem is known when either the time series is observed directly, or some observations are missed according to an independent Bernoulli process, or for some special cases when the time series is multiplied by an amplitude-modulating time series with known distribution. It is shown that if a time series of interest, a Bernoulli time series defining missing mechanism, and an amplitude-modulating time series are mutually independent, then the shape of spectral density of an underlying time series of interest can be estimated with the minimax rate known for the case of direct observations. Furthermore, in some special cases the spectral density can be estimated with the minimax rate known for directly observed time series of interest.     

Note on the differentiability of arithmetic Fourier series arising from Eisenstein series

The aim of this note is to present results concerning the differentiability of some Fourier series arising from Eisenstein series. Sine series exhibit different behaviours with respect to differentiability than the series with cosine function. The precise results are given for the series related to Eisenstein series of weight 2, whereas for the series arising from Eisenstein series of higher weight we conjecture the results.     

富里叶级数的收敛速度

对正弦和余弦富立叶级数,通过合并相邻同号项,使其重排成交错级数.讨论了重排形成的交错级数的敛散性.指出根据自变量x的不同取值,该交错级数可能是单调递减或周期递减的级数.按照莱布尼茨判定法提出了不同精度要求的级数项数的计算公式.选取一到三阶收敛的富立叶级数计算了不同比值精度及差值精度要求的级数项数.计算表明,在x的取值为2π的等分点时,富立叶级数的部分和随项数的增加单调地逼近其收敛值.在x的取值为其它点时,富立叶级数的部分和随项数的增加围绕收敛值上下变动,周期地逼近其收敛值.低收敛阶富立叶级数的收敛速度较慢.要达到0.01%的精度,一收敛阶富立叶级数需要数万项,二收敛阶富立叶级数也需要数百项.在不同计算点处,要达到相同的计算精度,需要的级数项数差别较大.     

Extrapolation Algorithms for Filtering Series of Functions,and Treating the Gibbs Phenomenon

In this paper, we study the application of some convergence acceleration methods to Fourier series, to orthogonal series, and, more generally, to series of functions. Sometimes, the convergence of these series is slow and, moreover, they exhibit a Gibbs phenomenon, in particular when the solution or its first derivative has discontinuities. It is possible to circumvent, at least partially, these drawbacks by applying a convergence acceleration method (in particular, the -algorithm) or by approximating the series by a rational function (in particular, a Padé approximant). These issues are discussed and some numerical results are presented. We will see that adding its conjugate series as an imaginary part to a Fourier series greatly improves the efficiency of the algorithms for accelerating the convergence of the series and reducing the Gibbs phenomenon. Conjugacy for series of functions will also be considered.     

The renormalizing series of some integral equations

We consider integral equations for which the perturbation expansion gives a power series in a parameter h whose coefficients are divergent integrals. We eliminate the divergent integrals by introducing a renormalizing Z(t, h) series in the minimal subtraction scheme. We investigate the convergence of the formal Z series in relation to the kernels of the integral equations. We find a relation of the renormalizing series to the Lagrange inversion series and also some other relations.     

An eigenvalue approach to the limiting behavior of time series aggregates

Many time series variables such as rainfall, industrial production, and sales exist only in some aggregated forms. To see the implication of time series aggregation it is important to know the limiting behavior of the time series aggregates. From the relationship of autocovariances between the underlying time series variable and its aggregates, we show that the limiting behavior of time series aggregates is closely related to the eigenvalues and the eigenvectors of the aggregation operator. Specifically, the vector of admissible autocorrelations of the limiting model for the time series aggregates is the eigenvector associated with the largest eigenvalue of the aggregation transformation. This provides an interesting and simple method for deriving the limiting model for time series aggregates. Systematic sampling of time series can be treated similarly. The method is illustrated with an empirical example.     

Unconditional Convergence of Functional Series in Problems of Probability Theory

We study the unconditional convergence of series in Banach spaces. We consider series of special type (Hadamard series), obtain the condition of their unconditional convergence, and discuss some of their applications. Further, we examine the almost sure unconditional convergence of random series in Banach spaces and, in the case of Gaussian series, we establish the relationship between the almost sure unconditional convergence and the geometry of Banach spaces. We also consider some probabilistic problems related to the convergence of series.     

广义调和级数的推广

将广义调和级数sum from n=1 to ∞ 1/n~x推广为一类指数项级数sum from n=1 to ∞ a_nd_n~x,并证明了这类指数项级数有结构简单的收敛域,其和函数的性质与幂级数的相似.     

二项式系数倒数级数恒等式

利用已知级数,通过裂项构造出一批新的二项式系数倒数级数,它们的分母分别含有1到4个奇因子与二项式系数的乘积表达式.所给出二项式系数倒数级数的和式是封闭形的.