Hardy-Hilbert型不等式的一个加强

改进了Hlder不等式,并利用加强的Hlder的不等式对联系β函数的带参数的Hardy-Hilbert型不等式进行了改进,建立一个新的形如sum from n=1 to ∞ sum from m=1 to ∞(ambn/(m+n)λ)/相似文献   

Hardy-Riesz拓广了的Hilbert不等式的一个改进

Let {a_n} and {b_n}be any two sequences of non-negative numbers such that 01).Then Hardy-Riesz′s extension of the Hilbert inequality can be sharpened to the form     

The series sum from(n=1) to ∞(1/(n~(k 1))e(-z~(2k))/(n~(2k)))(oddk) and Riemann Zeta function

J.Tennenbaum discussed the function sum from n=1 to ∞() 1/n~2 e~(-2/n) in 1977.Zhang Nanyue discussed the function sum from n=1 to 1 () 1/n~2e~(-z~2/n~2) in 1983.Now we discuss the functions sum from n=1 to ∞ () 1/n~(k 1).e~(z~(2k)/n~(2k))(kpositive odd)in this paper which finds representations of two integrales about Riemann Zeta function     

样本均值幂级数的收敛性

摘要设X_1,X_2,…为iid.,EX_1=0,0相似文献   

Use Cesro Means To Describe Two Classes of Functions

Let H(D)be the collection of functions which are analytic in the unitdisc D.we call B_0={f∈H(D),(?)(1-|z|~2)|f’(z)|=0}litlle Bloch space.Letf∈H(D),0相似文献   

On the Best Degree of Approximation by Euler (E,q)-Means

Let f(x)∈L_(2π) and its Fourier series by f(x)～α_0/2+sum from n=1 to ∞(α_ncosnx+b_nsinx)≡sum from n=0 to ∞(A_n(x)). Denote by S_n (f,x) its partial sums and by E_n~q(f,x) its Euler (E, q)-means, i. e. E_n~q(f,x)=1/(1+q)~π sum from m=0 to n((?)q~(n-m)S_m(f,x)), with q≥0 (E_n~0≡S_n). In [1] Holland and Sahney proved the following theorem. THEOREM A Ifω(f,t) is the modulus of continuity of f∈C_(2π), then the degree of approximation of f by the (E,q)-means of f is givens by##特殊公式未编改     

THE NATURAL BOUNDARY OF SOME RANDOM POWER SERIES

Suppose that {X_n(ω)} are independent random complex variable sequence, E(X_n)-0 and Then the circle {|Z|=ρ} is almost surely a natural boundary of the random series sum from n=1 to ∞ X_n(ω)Z~(n-1)     

关于Littlewood的一个问题

本文证明了: (1)如果{a_n}_n~N=1是非负不减序列,p>0,q>0,0≤r≤1,且p(q+r)≥q+p,则sum from n=1 to N(a_n~pA_n~q)(sum from m=n to N(a_n~(1+p/q)~r≤1·sum from n=1 to N(a_n~pA_n~q)~(1+p/q),其中A_n=sum from m=n to n (a_m).上述不等式在0≤r≤1时完全解决了H.Alzer~([4])在1996年提出的一个问题,且1是最佳常数; (2)如果{a_n}_n~N=1是非负序列,p,p≥1,r>0,r(p-1)≤2(q-1),令α=((p-1)(q+r)+p~2+1)/(p+1) β=(2p+2r+p-1)/(q+1),σ=(q+r-1)/(p+q+r)则sum from n=1 to N (a_n~p)sum from i=1 to n (a_i~qA_i~r)≤2~σsum from n=1 to N(a_n~αA_n~β)(0.2)(0.2)式改进了G.Be(?)et~([2,3])在1987年对Littlewood一个问题的结果,常数因子的3/2降为2~(3/2)=1.2598…     

用〔F,d_n〕平均逼近周期函数

设f(x)∈L_(2π)的Fourier级数为 f(x)～a_0/2+sum from n=1 to ∞ (a_ncosnx+b_nsinnx)sum from n=0 to ∞(A_n(f,x)) (1)以s_n(f,x)sum from i=0 to n(f,x)表示(1)第n部分和。称序列     

关于线性过程谱函数估计的弱不变原理的一点注记

设随机序列{X_n; n=0,±1…}可表示成为X_n=sum from j=-∞ to +∞(α_(j-n)ζ_j其中{α_j}是满足sum from j=-∞ to +∞(α_j~2)<∞的实数列,{ζ_j}是白噪声序列。通常用(?)_N(λ)=integral from 0 to λ(1/2πN)∣sum from k=1 to N(x_(?)e~(iμk)∣~2 dμ来估计{x_n}的未知的谱函数F(λ)。在一定的条件下,当{ζ_j}是独立同分布随机序列时,和[3]证明了:过程√(?)[(?)_N(λ)-F(λ)]的分布弱收敛到某个正态过程ζ(λ)在C[0,π]上产生的测度。本文在他们工作的基础上,运用鞅的极限定理和鞅不等式,改进了[3]中的两个关键引理,从而证明了当{ζ_j}是有控制分布的实四阶鞅差序列时,仍有相同的结果。     

POSITIVE MAPS CONSTRUCTED FROM PERMUTATION PAIRS

A property(C) for permutation pairs is introduced. It is shown that if a pair{π_1, π_2} of permutations of(1,2,…,n) has property(C),then the D-type map Φ_(π_1,π_2) on n× n complex matrices constructed from {π_1,π_2} is positive. A necessary and sufficient condition is obtained for a pair {π_1,π_2} to have property(C),and an easily checked necessary and sufficient condition for the pairs of the form {π~p,π~q} to have property(C) is given, whereπ is the permutation defined by π(i) = i + 1 mod n and 1≤ p q≤ n.     

关于线性算子的高阶饱和

设f(x)∈C_(2π)。而f(x)～sum from k=0 ( )A_k(f_1k)≡α_0/2 sum from k=1 ( )(α_kcoskx b_ksinkx)。 又设 U_n(f,x)=1/πintegral from -πto π(f(x t)u_n(t)dt,) 其中u_n(t)=1/2 sum from k=1ρ_k~(n)coskt满足条件: integral from 0 to k(|u_n(t)|dt=O(1),)ρ_k~(n)→1(n→∞;k=1,2,…,)。设m是正整数,ρ_0~(n)=1。记~mρ_k~(n)=sum form v=0 to ∞ ((-1)~(m~(-v))(m v)ρ_k v~(n) (k=0,1,…,)。)T.Nishishiraho考虑了在ρ_k~(n)=O(k>n)的情况下U_n(f,x)的饱和问题,证明了。 定理A 设{_n}是收敛于0的正数列,使得     

一个与Wallis不等式有关的单调减少数列

证明了{n (64 n~3+16 n~2+72n+15)/64 n~3-16 n~2+72n-15~(1/2) integral from 0 to π/2 sin~nxdx}为严格单调减少数列,且极限为π/2~(1/2),因而得π(64 n~3-16 n~2+72n-15)/2n 64 n~3+16 n~2(+72n+15)~(1/2)integral from 0 to π/2 sin~nxdxπ(64 n~3+208 n~2+296n+167)/2 n(+1)(64 n~3+176 n~2+232n+105)~(1/2),将Wallis不等式改进为512 n~3-64 n~2+144n-15/πn (512 n~3+64 n~2+144n+15)~(1/2)2(n-1)!!/2(n)!!512 n~3+832 n~2+592n+167/(πn+0.5)(512 n~3+704 n~2+464n+105)~(1/2).     

B值鞅的强大数定律

本文证明了在 p 阶光滑空间中的 B 值鞅差序列{D_n},若存在 q≥1及递增的正实数列{a_n},a_n↑∝(n→∝),满足sum from n=1 to ∞ a_n~(-p)(a_n~p-a_(n-1)~p)~(-(q-1))E‖D_n‖~(pq)<∝ (a_0=0)则(sum from i=1 to n D_i)/a_n→0 a.s.(n→∝)并得到了 p 阶光滑空间特征的两个新刻划,应用到其它几种 B 值鞅型序列,也获得一些结果。     

B值随机指标和序列收敛速度的一个注记

本文给出了级数 sum from n=1 to ∞ (n~((q/p)-2)P{‖S_(τ_n)‖)≥δ(τ_n(φ(τ_n))~d)1/p}<∞ 成立的一个充分条件,其中δ为任意给定的正数,d=1或d=-1,q≥p,0相似文献   

含根式不等式的处理方法

含根式不等式因技巧性较强,历年来颇受命题者喜爱,下面请欣赏几例. 一、三角代换例1 已知xi≥0,x0=0,sum from i=0 to nxi=1.求证:sum from i=1 to n xi/(1+x0+…+xi-1)(xi+…+xn)~(1/2)<π/2.证明 令x0+…+xi-1=sinθi-1,0=θ0≤θ1≤θ2≤…≤θn=π/2.则原式=sum from i=1 to n sinθi-sinθi-1/cosθi-1     

ON THE GROWTH OF SOME RANDOM HYPERDIRICHLET SERIES

The paper considers the random L-Dirichlet seriesf(s,ω)=sum from n=1 to ∞ P_n(s,ω)exp(-λ_ns)and the random B-Dirichlet seriesψτ_0(s,ω)=sum from n=1 to ∞ P_n(σ iτ_0,ω)exp(-λ_ns),where {λ_n} is a sequence of positive numbers tending strictly monotonically to infinity, τ_0∈R is a fixed real number, andP_n(s,ω)=sum from j=1 to m_n ε_(nj)a_(nj)s~ja random complex polynomial of order m_n, with {ε_(nj)} denoting a Rademacher sequence and {a_(nj)} a sequence of complex constants. It is shown here that under certain very general conditions, almost all the random entire functions f(s,ω) and ψ_(τ_0)(s,ω) have, in every horizontal strip, the same order, given byρ=lim sup((λ_nlogλ_n)/(log A_n~(-1)))whereA_n=max |a_(nj)|.Similar results are given if the Rademacher sequence {ε_(nj)} is replaced by a steinhaus seqence or a complex normal sequence.     

On the Mean Square Value Formula of Lerch zeta-function

For complex number s =σ + it and real number 0<α,x<1, let φ(x,α,s) be Lerchzeta-function defined by φ(x,α,s)=sum from n=0 to ∞ (e~(2πinx))/(n+α)~s for Re(S)>1and its analytic continuation, and let of φ_1(x,α,s) =α(x,α,s) -α~(-s). The main purposeof this paper is to study the asymptotic properties of the mean square value     

LEAST SQUARES TYPE ESTIMATION FOR DISCRETELY OBSERVED NON-ERGODIC GAUSSIAN ORNSTEIN-UHLENBECK PROCESSES

In this article, we consider the drift parameter estimation problem for the nonergodic Ornstein-Uhlenbeck process defined as d X_t= θX_tdt + dG_t, t ≥ 0 with an unknown parameter θ 0, where G is a Gaussian process. We assume that the process {X_t, t ≥ 0} is observed at discrete time instants t_1 = ?_n, ···, t_n= n?_n, and we construct two least squares type estimators ■ and ■ for θ on the basis of the discrete observations {X_(t_i), i = 1, ···, n}as n →∞. Then, we provide sufficient conditions, based on properties of G, which ensure that ■ and ■ are strongly consistent and the sequences n?n~(1/2)(■-θ) and n?n~(1/2)(■-θ)are tight. Our approach offers an elementary proof of [11], which studied the case when G is a fractional Brownian motion with Hurst parameter H ∈(1/2, 1). As such, our results extend the recent findings by [11] to the case of general Hurst parameter H ∈(0, 1). We also apply our approach to study subfractional Ornstein-Uhlenbeck and bifractional Ornstein-Uhlenbeck processes.