关于初等算子的几个问题

本文讨论了B(H)上的初等算子△(A,B):X→sum from t=1 to n A_iXB_i的几个问题,主要的结果是关于它的范数,核和值域,给出了△(A,B)的范数等于sum from i=1 to n ‖A_i‖‖B_i‖的充要条件以及当A,B是交换正常算子组时,△(A,B)有闭值域的充要条件,还给出了△(A,B)的有关这方面的另外一些结果。     

关于B值随机元赋范部分和最大值的矩的若干讨论

本文讨论B值随机元部分和序列的最大值的矩的问题,对1≤p≤2及r>p证明了下列叙述的等价性; (ⅰ)存在常数0相似文献   

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。     

Hermite—A插值样条

设-∞<α相似文献   

二次指派问题的一个新的限界方法

二次指派问题(QAP)的数学模型是:min{z(x)=sum from i=1 to n sum from =1 to n a_(ip)x_(ip)+sum from i=1 to n sum from p=1 to n sum from j=1 to n sum from q=1 to n c_(ipjq)x_(ip)x_(jq)|x∈},(1)这里∈(n~2维布尔集)是满足如下约束的集合:sum from i=1 to n x_(ip)=1,1≤p≤n,(2)sum from p=1 to n x_(ip)=1,1≤i≤n,(3)x_(ip)=0,1,1≤i,p≤n.(4)因为 x_(ip)~2=x_(ip)并且有约束(2)和(3),我们可以约定 c_(ipjq)=0,当 i=j 或 p=q.如果所有二次项的系数都可以写成     

退缩椭圆型方程的边值问题

<正> 在 R~n 的有界凸区域Ω上考虑椭圆型方程Lu≡sum from i,j=1 to n (a_(ij)(x)u_(xi)_(xj)+sum from i=1 to n b_i(x)u_i+c(x)u=f(x),(1)设对 x∈(?)及所有的实数组(ξ_1,ξ_2,…,ξ_n)sum from i,j=1 to n a_(ij)(x)ξ_iξ_j≥λ(x)sum from i=1 to n ξ_i~2≥0,a_(ji)(x)∈C(?),即算子 L(u)可能退缩而为退缩椭圆型算子。记(?)的边界为∑,∑上满足 sum from ij=1 to n a_(ij)n_in_j=0的点集为∑_0,(n_1,…,n_n)表示∑上的内单位法向量,∑_3=∑\∑_0,设其 n-1维测度非零,则对方程(1)可提如下的边值问题:     

含有n个滞量的三维微分差分方程组周期解的存在性

本文研究含有n 个滞量的三维微分差分方程组x(t)=sum from i=1 to ∞(1/i)f[x(t),x(t-τ_i),y(t),y(t-τ_i),z(t),z(t-τ_i)]y(t)=sum from i=1 to ∞(1/i)g[x(t),x(t-τ_i),y(t),y(t-τ_i),z(t),z(t-τ_i)](τ_i>0)z(t)=sum from i=1 to ∞(1/i)h[x(t),x(t-τ_i),y(t),y(t-τ_i),z(t),z(t-τ_i)]周期解的存在性,给出了方程组周期解周期的取值范围.推广并改进了文[1]的结果.     

线性时变系统的渐近稳定性

本文讨论一般时变系统(?)=A(t)x(1)的渐近稳定性.其中 x=(x_1,x_2,…,x_n)~T,A(t)=[a_(ik)(t)](i,k=1,2,…,n)是定义于 I=[τ, ∞)上的 n×n 矩阵.取向量模‖x‖=(sum from i=1 to n x_i~2)~(1/2).作为预备工作,首先考虑一般时变系统     

强相依高斯序列的最大值与和的联合渐近分布

{X_n,n≥1)是标准高斯序列,T_(ij)=cov(X_i,X_j)。本文在强相依条件rijlog(j-i)→r∈(0,∞)(j-i→ ∞)下,得到了高斯序列的最大值M_n与标准化部分和S_n=sum from i=1 to n(X_i/(E(sum from i=1 to n X_i)~2)/(1/2))     

A NECESSARY AND SUFFICIENT CONDITION FOR THE OSCILLATION OF HIGHER-ORDER NEUTRAL EQUATIONS WITH SEVERAL DELAYS

Consider the higher-order neutral delay differential equationd~t/dt~n(x(t)+sum from i=1 to lp_ix(t-τ_i)-sum from j=1 to mr_jx(t-ρ_j))+sum from k=1 to Nq_kx(t-u_k)=0,(A)where the coefficients and the delays are nonnegative constants with n≥2 even. Then anecessary and sufficient condition for the oscillation of (A) is that the characteristicequationλ~n+λ~nsum from i=1 to lp_ie~(-λτ_i-λ~n)sum from j=1 to mr_je~(-λρ_j)+sum from k=1 to Nq_ke~(-λρ_k)=0has no real roots.     

关于误差方差估计渐近正态收敛速度的上,下界

考虑线性回归模型 Y_■=x_4~′β+e_■ i=1,2,…设误差序列■,i≥1满足条件:e_■ i≥1 i.i.d.,Ee_1=0,Ee_1~2=σ~2>0,∞>Var e_1~2=τ~2>0。记■_n~2=1/(n-r){sum from j=1 to n e■-sum from k=1 to r (sum from j=1 to n a_(akj)■_j)~2} δ(n)=τ~(-2)E(■_1~2-σ~2)~2I_((|■-σ~2|≥■τ)+τ~(-3)n~(1/2)|E(■_1~2-σ~2)~3I_((|■_1~2-σ~2|<(nτ)~(1/2))+τ~(-4)n~(-1)E■_1~2-σ~2)~4I_((|■-σ~2|0使得■|P(■_n~2-σ~2)/(Var■_n~2)~(1/2))≤x)-Φ(x)|≤C(δ(n)+n~(-1/2)) ■|P(■_n~2-σ~2)/(Var■_n~2)~(1/2))≤x)-Φ(x)|+n~(-1/2)≥C_1δ(n)。     

关于一道高等数学竞赛试题的探索与拓广

给出了2004年浙江省大学生高等数学竞赛一题得分率较低的压轴题(判断级数sum from n=1 to ∞ 1/n((n!)~α)～(1/n)的敛散性,其中α>0为常数)的五种不同的解法,建立了它的如下的拓广结果:当α>1且正项级数sum from i=1 to ∞ 1/(a_i~α)收敛时,级数sum from n=1 to ∞ 1/((multiply from i=1 to n)ai)α～(1/n)收敛;当0<α≤1,0相似文献   

关于凸函数的Hadamard不等式的拓广(英文)

设,是区间[a,b]上连续的凸函数。我们证明了Hadamard的不等式 f(a+b/2)≤1/b-a integral from a to b (f(x)dx)≤f(a)+f(b)/2可以拓广成对[a,b]中任意n+1个点x_0,…,x_n和正数组p_0,…,p_n都成立的下列不等式 f(sum from i=0 to n (p_ix_i)/sum from i=0 to n (p_i))≤|Ω|~(-1) integral from Ω (f(x(t))dt)≤sum from i=0 to n (p_if(x_i)/sum from i=0 to n (p_i),式中Ω是一个包含于n维单位立方体的n维长方体,其重心的第i个坐标为sum from i=i to n (p_i)/sum from i=i-1 (p_i),|Ω|为Ω的体积,对Ω中的任意点t=(t_1,…,t_n) ω(t)=x_0(1-t_1)+sum from i=1 to n-1 (x_i(1-t_(i+1))) multiply from i=1 to i (t_i+x_n) multiply from i=1 to n (t_i)。不等式中两个等号分别成立的情形亦已被分离出来。 此不等式是著名的Jensen不等式的精密化。     

一阶中立型微分差分方程解的振动性质

在本文中我们研究中立型微分差分方程d/dt[x(t)+sum from i=1 to m(p_ix(t-τ_i))]+sum from i=1 to n(Q_i(t)x(t-σ_i)=0,t≥t_0的解的振动性态。本文推广[1]的诸结果,同时改进[1]的定理3和定理4。     

布尼雅可夫斯基不等式的推广

定理:不等式 (sum from i=1 to m(a_(1i) a_(2i)…a_(ni)))~n≤≤sum from i=1 to m(a_(1i))~n sum from i=1 to m(a_(2i))~n…sum from i=1 to m(a_(ni))~n對於任意自然數n都成立,其中a_(ki)為正數(K=1,2,…,n,i=1,2,…,m). 證明: 設 A_K~n=sum from i=1 to m(a_(Ki))~n (K=1,2,…,n), x_(Ki)=a_(Ki)/A_K,(K=1,2,…,n i=1,2,…,m)則從n侗正數的幾何平均值小於或等於其算術平均值這個結果可得 x_(1i)x_(2i)…x_(ni)≤((x_(1i))~n+(x_(2i))~n+…+(x_(ni))~n)/n由此更推得a_(1i)a_(2i)…a_(ni)=A_1A_2…A_n(x_(1i)x_(2i)…x_(ni)≤     

具多滞量和正负系数中立型微分方程解的渐近性质

该文考虑多滞量和正负系数中立型方程[x(t)-sum from n=1 to l(1/n)C_A(t)x(t-r_n)] sum from i=1 to (1/i)P_i(t)x()t-τ_i)-sum from j=1 to n(1/j)Q_j(t)x(t-σ_j)=0,其中C_A(k=1,…,l),P_i(i=1,…,m),Q_j(j=1…,n)∈C([to,∞co),R~ ),0≤τ_l<…<τ_m,0≤σ_1<…<σ_n,0相似文献   

HIGHER C0MMUTATORS OF PSEUDODIFFERENTIAL OPERATORS

In this paper the following result is established: For a_i, f∈(R~K), i=1, …, n, and T (a, f) (x)=ω(x, D)(multiply from i=1 to n P_(mi)(a_i, x, ·)f(·)),it holds that ‖T(a, f)‖_q≤C‖f‖_(po) multiply from i=1 to n ~m_ia_i‖_(p_4),where a=(a_1, …, a_n), q~(-1)=p_0~(-1)+ sum from i=1 to n p_i~(-1)∈(O, 1), p_i∈(1, ∞)or i, p_i=∞, p_0∈(1, ∞),for an integer m_i≥0, P_(m_1)(a_i, x, y)=a_i(x)-∑ |β|相似文献   

关于Smale提出的积分逼近效率的一般结论

设?~k是[0,1]上的CooeB空间,Q:?~k→R是至少具有k-1次代数精度的求积泛函.设J:f|→integral from n=0 to 1 (f(t)dt),h=1/n。通过由等式 M_hf(t)=h sum from i=0 to (n-1)(f(ih+th)),?f∈C[0,1],?t∈[0,1]确定的线性算子M_h:C[0,1]→C[0,1],定义Q的复化求积泛函QM_h。在?~k中的     

一道联赛题的新证法

一九八九年全国高中数学联赛第二试第二题抄录如下: 已知x_1∈R(i=1,2,…,n,n≥2)满足 sum from i=1 to n |x_i|=1,sum from i=1 to n x_i=0. 求证 |sum from i=1 to n x_i/i|≤1/2-1/2n. 这道题参考答案上已给出了两种证法,现在我们再给出另外一种证法,这种证法比参考答案给出的两种证法都简单,而且更加紧扣教材,更容易为学生所接受。证明任给i∈{1,2,…,n},则有     

On necessary and sufficient conditions for the self-normalized central limit theorem In Honor of Professor Chuanrong Lu on His 85th Birthday

Let X_1, X_2,... be a sequence of independent random variables and S_n=sum X_1 from i=1 to n and V_n~2=sum X_1~2 from i=1 to n . When the elements of the sequence are i.i.d., it is known that the self-normalized sum S_n/V_n converges to a standard normal distribution if and only if max1≤i≤n|X_i|/V_n → 0 in probability and the mean of X_1 is zero. In this paper, sufficient conditions for the self-normalized central limit theorem are obtained for general independent random variables. It is also shown that if max1≤i≤n|X_i|/V_n → 0 in probability, then these sufficient conditions are necessary.