Approximation of Differentiable Periodic Functions by Their Biharmonic Poisson Integrals

We determine the exact values and asymptotic decompositions of upper bounds of approximations by biharmonic Poisson integrals on classes of periodic differentiable functions.     

Poisson Distribution Series for Analytic Univalent Functions

The main objective of the present paper is to investigate the Poisson distribution series for the function class \(T\left( \alpha ,\beta \right) \) of analytic functions. Moreover, we obtain necessary and sufficient conditions for the Poisson distribution series belonging to this class. We also consider an integral operator related to the Poisson distribution series.     

Poisson Distribution for a Sum of Additive Functions

We consider the limit distribution of values of a sum of additive arithmetic functions with shifted argument. The case of the Poisson limit distribution is studied. The functions considered take at most two values on the set of primes, 0 and 1, and satisfy some additional conditions. Some examples are given.      

One Approach to the Computation of Asymptotics of Integrals of Rapidly Varying Functions

We consider integrals of the form

$$I\left( {x,h} \right) = \frac{1}{{{{\left( {2\pi h} \right)}^{k/2}}}}\int_{{\mathbb{R}^k}} {f\left( {\frac{{S\left( {x,\theta } \right)}}{h},x,\theta } \right)} d\theta $$

, where h is a small positive parameter and S(x, θ) and f(τ, x, θ) are smooth functions of variables τ ∈ ?, x ∈ ? ⁿ , and θ ∈ ? ^k ; moreover, S(x, θ) is real-valued and f(τ, x, θ) rapidly decays as |τ| →∞. We suggest an approach to the computation of the asymptotics of such integrals as h → 0 with the use of the abstract stationary phase method.

     

The Poisson Distribution for Linear Statistics of Random Permutations

We examine the asymptotic distribution laws of integer-valued linear statistics defined via the multiplicities of lengths of cycles comprising a random permutation taken with equal probability. We establish necessary and sufficient conditions for the weak convergence to the Poisson limit law. The approach can be applied to investigate other logarithmic structures. __________ Translated from Lietuvos Matematikos Rinkinys, Vol. 45, No. 4, pp. 537–552, October–December, 2005.     

The Poisson Voronoi Tessellation II. Edge Length Distribution Functions

This paper presents a method for the determination of the distribution function of the length of the 'typical' edge of the Poisson Voronoi tessellation. The method is based on distributional properties of the configuration of the centres in the neighbourhood of the 'typical' vertex. The distribution and density functions of the edge lengths are given in double integral form for various dimensions. Analogous characteristics are considered for two-dimensional sections through higher-dimensional Poisson Voronoi tessellations.     

模糊值函数的t-余模积分

给出了模糊值函数关于t-余模、 -分解测度的t-余模、 -积分(简记为 -积分)的定义,并讨论了模糊值函数 -积分的一些性质和单调收敛定理.这种积分是模糊值函数Lebesgue积分的推广,也是实值函数 -积分的推广.     

Fuzzy Integrals of Set-vatued Function

ＦｕｚｚｙＩｎｔｅｇｒａｌｓｏｆＳｅｔ－ｖａｌｕｅｄＦｕｎｃｔｉｏｎｓＺｈａｎｇＤｅｌｉａｎｄＷａｎｇＺｉｘｉａｏ（Ｄｅｐｔ．ｏｆＭａｔｈ．ＪｉｌｉｎＰｒｏｖ，Ｉｎｓｔ．ｏｆＥｄｕｃａｔｉｏｎＣｈａｎｇｃｈｕｎ，Ｊｉｌｉｎ，１３００２２，Ｐ．Ｒ．Ｃｈ...     

不定积分计算方法注记

针对不定积分分部积分公式中各部分函数的选择问题，给出一个口诀，并通过实例加以验证。针对含根式被积函数不定积分换元法中换元变换的问题，给出一个注记。     

Boundary Integrals and Approximations of Harmonic Functions

Steklov expansions for a harmonic function on a rectangle are derived and studied with a view to determining an analog of the mean value theorem for harmonic functions. It is found that the value of a harmonic function at the center of a rectangle is well approximated by the mean value of the function on the boundary plus a very small number (often 3 or fewer) of specific further boundary integrals. These integrals are coefficients in the Steklov representation of the function. Similar approximations are found for the central values of solutions of Robin and Neumann boundary value problems. The results follow from analyses of the explicit expressions for the Steklov eigenvalues and eigenfunctions.     

Random functions of Poisson type

Let $\text{(X,}\textcolor{red}{}\text{, μ)}$ be a σ-finite nonatomic measure space. We think of the customary analysis based upon $\text{(X,}\textcolor{red}{}\text{, μ)}$ as continuum analysis. By contrast discrete analysis is based upon an arbitrary countable subset of X, rather than upon X itself, and all countable subsets are treated alike with a Poisson process used to distinguish among them probabilisticly. The sort of functions appropriate for discrete analysis are the Campbell functions, or, as they are called in the present paper, the random functions of Poisson type. The paper presents an account of the ideas underlying discrete analysis and treats briefly the specifies of representation, stochastic integrals, and duality theory for random functions of Poisson type. It is chiefly concerned, however, with those random functions which occur in connection with the discrete analysis of Brownian motion, (for example, with Gaussian noise). In particular it shows that there is a completely positive map which carries such discrete processes onto an algebraic version of Wiener's Brownian motion process, and that under this map, random functions of Poisson type go over to the appropriate random functions of Wiener type. It also shows that the map carries random variables into noncommuting operators characteristic of quantum theory.     

关于积分上限函数的周期性研究

探讨积分上限函数的周期性.得到积分上限函数是周期函数的两个充分必要条件.并得到当被积甬数是周期函数时.无穷限的反常积分发散性的一个结论.     

几个含有根式的不定积分例题的另解

实例说明用第一类换元积分法或分部积分法求解几个典型不定积分,其被积函数含有根式a2-x2或x2±a2.     

Complete Asymptotics of the Deviation of a Class of Differentiable Functions from the Set of Their Harmonic Poisson Integrals

On a class of differentiable functions W ^r and the class of functions conjugate to them, we obtain a complete asymptotic expansion of the upper bounds of deviations of the harmonic Poisson integrals of the functions considered.     

Cauchy-Stieltjes积分和面积平均p叶函数

本文研究由Cauchy-Stieltjes积分形成的函数空间Fα.首先给出这个空间的一个等价定义,然后研究面积平均p叶函数的对数函数和这个函数空间的关系,最后对单叶函数的情形做进一步的讨论.根据这种研究,我们得到了有界单叶函数的系数增长估计,这是目前最好的结果.     

Distribution Functions in Risk Analysis: Response

Journal of the Operational Research Society -