矩阵指数的偏迹不等式

In this paper it is shown that if C is an n×n complex matrix and C^(k) is the k-th compound of C, 1≤k≤n, N = (n k) and if the eigenvalues of C^(k) are labeled inorder of decreasing magnitude |λ₁(C^(k))|≥λ₂(C^(k))|≥…≥λ_N(C^(k))|define the partial trace tr_i^(k)(C) by (?) Then for two n×n Hermrtian matrices A, B,with equality holds if A, B are commutative or k = n.     

两个四元数自共轭半正定矩阵乘积的特征估计

设A和B均非0的n阶实四元数自共轭矩阵,λ_i及μ_i分别为共特征值(i=1,…,n),且规定|λ₁|≥|λ₂|≥…≥|λ_n|,|μ₁|≥|μ₂|≥…≥|μ_n|,又λ为AB之任意特征值,则λ为实数,且(1)若A≥0,A(?)GL_n(Q),B≥0,B GL_n(Q),则λ≤λ₁μ₁;(2)若A>0或B>0,则|λ|≤|λ₁μ₁|,特别当A>0且B>0时有λ≤λ₁μ₁;(3)若A>0,B∈GL_n(Q),或B>0,A∈GL_n(Q)则|λ|≥|λ_nμ_n|,特别当A>0且B>0时有λ≥λ_nμ_n。     

线性模型中误差方差估计的指数收敛速度

Suppose given a linear model y_j=x'_jβ+μ_j, j=1,2,…, The random errors all have a mean zero and unknown variance σ², 0<σ²<∞. Let σ_n² be the estimate of σ² based on the residual sum of squares and calculated from (x_j, y_j), j=1,…,n. In this paper we show that if μ₁,μ₂,…, are independent but not necessarily identically distributed, and some further conditions on {μ_j} and (x₁|…|x_n) are satisfied, then for any ε>0 there exist constant ρ_ε, 0<ρ_ε<1, Such that P(|σ_n²-σ²|≥ε)=O(ρ_εⁿ).     

Heisenberg群上一类左不变LPDO的局部基本解及局部可解性

In this paper it is proved that local fundamental solution exists in some space W^m(H_n) (m∈Z), if the left invariant differential operator on the Heisenberg group H_n satisfies certain condition. The main results are:l.Let L be a left invariant differential operator on H_n. If there exist R≥0, r,s∈R and operators {B_λ|λ∈Γ_R} ∈V^s(Γ_R, M^r) such that, for almost all λ∈Γ_R, B_λ is the right inverse of Ⅱ_λ(L), then there exists E∈W^m(H_n) (when m≥0 or m even) or E∈W^m-1(H_n) (when m<0 and odd) such that LE =δ(near the origie) Where m=min([r],-[2s]-n-2); 2. Let L(W,T) be of the form (3.1). If there exist R≥0 and r,s∈R such that when |λ|≥R,(?) and C_λ≥ C|λ|^x(C>0), then the same conclusion as above holds with m=min(-[2r]-n-2,[-2s]-n-2).     

球面Schr?dinger算子的迹

Let S be a unit sphere in R³,Δ_θ,φ be the spherical Laplasian and q(θ,φ) be a continuous function on S. The following trace formulae are proved for the eigenvalues μ_n of L₀=-Δ_θ,φ and λ_n of L=L₀+q.     

关于单形的三角不等式

Theorem 1 We show that let S be a simplex in Eⁿ, its vertex angles being αi and interior dihedral angles formed by arbitrary two side faces f_i,f_j of S being Q_ij, if m_i are positive numbers (i,j= 1, 2, …, n + 1, i ≠ j), then Theorem 2 Let Ω be a simplex in Hⁿ, its interior dihedral angles formed by arbitrary two side faces F_i, F_j of Ω being φ_ij, if p_i- be positive numbers (i, j = 1,2,…., n + 1, i ≠ j), then     

三角域上Bernstein多项式的Lipschitz常数

设T是平面上以T₁,T₂,T₃为顶点的三角形,f(p)为定义在T上的函数,称Bⁿ(f,P):=(?)f(i/n,j/n,k/n)B_i,j,kⁿ(P),为f的n次Bernstein多项式,这儿B_i,j,kⁿ(P):(n!)/(i!j!k!)uⁱv^jω^k是Bernstein基函数,(u,v,w)是P关于T的重心坐标。 B.M.Brown等人对单变量的Bernstein多项式证明了如果f∈Lip_Aλ,0<λ≤1,则对所有的n,都有B^α(f,x)∈Lip_Aλ。本文的目的是对定义在三角域T:{(x,y):x≥0,y≥0,x+y≤1}上的Bernstein多项式证明了类似的结果: 设f(P)∈Lip_Aλ,0<λ≤1,则对所有的n,Bⁿ(f,P)∈Lip_(2^1/2λA)λ,并且,在一定意义上,常数2^1/2λA是最好的。 上述结果对于任意的锐角或直角三角形T,也是成立的。 最后还指出,当T可为钝角三角形时,则不存在同一常数C,使对所有的n和任意三角形T,有Bⁿ(f,P)∈Lip_cλ。     

Mn(C)中的不可约性

对于M_n(C)(所有n×n矩阵的全体)中的不可约矩阵得到以下结果:对于任意A∈M_n(C),设λ₁, λ₂,…,λ_m为A的所有特征值,这里m≤n而且当i≠j时,λ_i≠λ_j.则A是不可约的当且仅当任意P∈A′(A),P^*=P=P²,有σ(P|ker(A-λ₁))=σ(P|ker(A-λ₂))=…=σ(P|ker(A-λ_m))为单点集.     

切于已知球的单形宽度

Let w(△_n) denote the width of a non-degenerate simplex △_n in Eⁿ and r(△_n) denote the inradius of the simplex.Then, in this paper, we prove the ine-qunlity as below: Theorem:w(△_n)≤β_nr(△_n) where β_n =(n^1/2(n+1))/([(n+1)/2]^1/2(n+1-[(n+1)/2])^1/2) The equality holds if and only if the simplex is regular.     

随机中止试验的线性模型中参数估计的几个性质

When sample size is a sequence of r.v., the parametric estimates in linear models are interesting both theoretically and practically. For linear models Y_i=x_iβ+e_i,i=1,2,…where {e_i} are p-dimensional i .i .d.r.v′.s with Ee₁=0. Var e₁=σ²,0<σ²<∞. we consider estimate σ²(v_n) of error variance σ² and least squares estimate β(v_n) of regression coefficient β, here {v_n} is a sequence of r.v. with positve integers larger than P. In this paper some properties of estimates are discussed . Those are unbiasedness, consistency and normality . For σ²(v_n), we also obtain some orders for convergence to normal distribution.