级数绝对收敛与条件收敛的审敛法研究

由正项级数∞∑n=1 ｜un｜发散一般不能推出级数∞∑n=1 un发散。但是如果正项级数∞∑n=1 ｜un｜的发散性是由比值审敛法或根值审敛法所确定，则原级数∞∑n=1 un必然发散．     

交错级数敛散性判别法

给出交错级数的几个判别法,它们可直接用以判别交错级数是绝对收敛,条件收敛还是发散.     

交错级数收敛性的几个结果及其应用

莱布尼兹判别法只是一个充分条件。有大量交错级数虽然不满足其条件,但却是收敛的．对于无法用莱布尼兹判别法判定的三类交错级数,利用常数项级数收敛的定义及相关结果,可以证明在一定条件下它们都是收敛的．并通过实例说明所得结果的应用价值．     

A weak condition for secant method to solve systems of nonlinear equations

In this paper, a new weak condition for the convergence of secant method to solve the systems of nonlinear equations is proposed. A convergence ball with the center x0 is replaced by that with xl, the first approximation generated by the secant method with the initial data x-1 and x0. Under the bounded conditions of the divided difference, a convergence theorem is obtained and two examples to illustrate the weakness of convergence conditions are provided. Moreover, the secant method is applied to a system of nonlinear equations to demonstrate the viability and effectiveness of the results in the paper.     

A NOTE ON REARRANGEMENTS OF SERIES IN BANACH SPACES

We generalize Kadec‘s and Yan Zikun‘s resuhs in [1],[2] to prove; in every infinite dimensional real Banach space Y there exist an infinite dimensional subspace X and a series ∑xn such that ∑xn has property(N) in X. but(the domain of sums of this series) S(∑xn) is not a convex set.     

数项级数的收敛与重排

讨论了级数重排问题,在条件收敛级数与其重排级数的项之间增加一定的约束,可以得到原级数与重排级数收敛到同一数值的结论.     

基于p-级数的交错级数敛散性判别法

选择p-级数作为参照级数,由比较判别法可得关于交错级数敛散性判别的一种新方法.新方法可直接判别交错级数的敛散性,并在收敛时,给出级数是条件收敛还是绝对收敛.实例说明其应用.     

一个条件收敛级数重排项后的和

研究了以自然数倒数所构成的一个典型交错级数重排项后所得级数的收敛性及求和问题．证明了当其正项和负项均按由小到大的顺序排列后,每出现r个正项后面接t个负项的排列所得到的级数收敛,并利用幂级数求得了重排项后级数的和．     

交错级数敛散性的微分形式判别法

给出交错级数敛散性微分形式的判别法,应用此判别法可直接判别交错级数是否收敛,以及收敛时是绝对收敛还是条件收敛.