Stirling渐进公式的一个新的构造证明

本文用简易的分析工具，对ｎ！给出了一个精确等式，从而导出Ｓｔｉｒｌｉｎｇ渐近公式（２）的一个新的简短证明.     

一些与Riemann Zeta函数有关的级数的求和公式

采用组合数学的方法，利用第二类Ｓｔｉｒｌｉｎｇ数和Ｂｅｒｎｏｕｌｉ数给出级数∑∞ｋ＝２ｋｍζ（ｋ）、∑∞ｋ＝１ｋｍζ（２ｋ）及∑∞ｋ＝１（２ｋ＋１）ｍζ（２ｋ＋１）（其中ｍ≥１，ζ（ｘ）＝ζ（ｘ）－１）的求和公式。这些公式表述简洁并有鲜明的规律性。     

强度1二元正交阵列计数

利用Pólya计数理论给出强度1二元正交阵列计数公式.     

乘法分拆的计数函数的估值

设f(n)表示自然数n的乘法分拆数。对于所有奇数，较大地改进了n的系数，证明了：若n为奇数，则f(n)≤n/15 7/5。     

关于维数公式

指出线性子空间维数公式不存在与容斥原理相类似的结论,并且分析了原因。     

关于维数公式

指出线性子空间维数公式不存在与容斥原理相类似的结论,并且分析了原因。     

Stirling数的概率表示和应用

本文证明了第二类Ｓｔｉｒｌｉｎｇ数Ｓ（ｎ，ｋ）和第一类Ｓｔｉｒｌｉｎｇ数ｓ（ｎ，ｋ）都是常见的随机变量和的矩，从而使概率论的方法和技巧，在组合和式计算、恒等式的发现与证明以及渐近估计等方面得到许多新的结果．     

联系Bernoulli数和第二类Stirling数的一个恒等式

利用指数型生成函数建立起联系Bernoulli数和第二类Stirling数的一个有趣的恒等式．     

基于一个抽球模型的组合恒等式及组合解释

本文研究了抽球概率模型的问题.利用概率方法,获得了关于第一类Stirling数和广义可重复二项式系数的无限求和形式的组合恒等式以及有关组合解释,推广了Stirling数和二项式系数的无限求和结果.     

(k)的部分和五阶和式的计算

u1,u2,…是独立、同分布于(0,1)区间上均匀分布的随机变量.本文证明了1-u1u2…uk的n-1阶矩(n≥1)是以调和数的部分和ξn(r)=∑ni=1 1/jr,r≥1为变元的指数型完全Bell多项式,因此Riemann-Zeta函数ξ(k),k≥2能够被展开成第一类无符号Stirling数s(n,k)的级数,从而计算出与ξn(r)有关的全部6个五阶和式.它们都是ξ(5)与ξ(2)ξ(3)的有理组合.     

一个易错概率题的分析及发现

分堆问题是排列组合中常遇到的难题之一.通过一个易错概率题的分析,推广了分堆问题,定义相同结构,并对相同结构下的排列组合进行研究,给出了相同结构下的计算公式,并利用离散型随机变量的性质加以验证.此外,还发现了一个符号运算的恒等式,并进行了证明.     

三类与Riemann Zeta函数有关的级数的求和公式

本文采用组合数学的方法,利用第二类Ｓｔｉｒｌｉｎｇ数和Ｂｅｒｎｏｕｌｌｉ数给出级数∑∞ｋ＝２ｋ＾ｍξ（２ｋ）及∑∞ｋ＝１（２ｋ＋１）＾ｍξ（２ｋ＋１）其中ｍ≥１,ξ（ｘ）＝ξ（ｘ）－１）的求和公式。这些公式表述简洁并有鲜明的规律性。     

Counting lattice chains and Delannoy paths in higher dimensions

Lattice chains and Delannoy paths represent two different ways to progress through a lattice. We use elementary combinatorial arguments to derive new expressions for the number of chains and the number of Delannoy paths in a lattice of arbitrary finite dimension. Specifically, fix nonnegative integers n₁,…,n_d, and let L denote the lattice of points (a₁,…,a_d)∈Z^d that satisfy 0≤a_i≤n_i for 1≤i≤d. We prove that the number of chains in L is given by where . We also show that the number of Delannoy paths in L equals Setting n_i=n (for all i) in these expressions yields a new proof of a recent result of Duchi and Sulanke [9] relating the total number of chains to the central Delannoy numbers. We also give a novel derivation of the generating functions for these numbers in arbitrary dimension.     

Lattice paths and the q-ballot polynomials

Two statistics with respect to “upper-corners” and “lower-corners” are introduced for lattice paths. The corresponding refined generating functions are shown to be closely related to the q-ballot polynomials that extend the well-known Narayana polynomials and Catalan numbers.     

放缩,反演和障碍问题

代替移动平面法和滑动区域法，作者利用放缩和反演变换研究某些半线性椭圆型分分下等方程解的单调性和对称性，这些变换依赖某一参数，在关于数据的单调性的适当假定下，当参数近某一初始值最大值时，解和其变换的差在某一“窄区域”满足一个椭圆型不等式，利用Ｖａｒａｄｈａｎ的极值原理，即得这个差是正的并得到解的单调性。     

A Carleman Function and the Cauchy Problem for the Laplace Equation

We suggest an explicit formula for reconstruction of a harmonic function in a domain from its values and the values of its normal derivative on part of the boundary; i.e., we give an explicit continuation formula and a regularization procedure for a solution to the Cauchy problem for the Laplace equation.     

排列组合中一类分组分配问题的统一球盒模型

本文研究了排列组合中一类分组分配问题,形式化成三个球盒模型,引入三个符号既表示这三种模型又表示模型对应的方案数.三模型可以统一快捷地解答平均分组和不定向分配等问题,为实际应用的分析理解和解答带来方便.     

A Unified Derivation of the Complementary Waiting Time Distribution in Sequential Occupancy

Occupancy distributions are defined on the stochastic model of random allocation of balls to a specific number of distinguishable urns. The reduction of the joint distribution of the occupancy numbers, when a specific number of balls are allocated, to the joint conditional distribution of independent random variables given their sum, when the number of balls allocated is unspecified, is a powerful technique in the study of occupancy distributions. Consider a supply of balls randomly distributed into n distinguishable urns and assume that the number X of balls distributed into any specific urn is a random variable with probability function P(X = x) = q _x , x = 0, 1,.... The probability function of the number L _r of occupied urns until r balls are placed into previously occupied urns is derived in terms of convolutions of q _x , x = 0, 1,... and their finite differences. Further, using this distribution, the minimum variance unbiased estimator of the parameter n, based on a suitable sequential sampling scheme, is deduced. Finally, some illustrating applications are discussed.