Fourier级数及其导级数的逼近

设p_m≥0↓,sum from k=0 to n(p_n)=P_m,n=0,l,…,p_0=P_0=1,P_n→∞(n→∞)若N_n=1/P_n sum from k=0 ton(p_(n,k)S_k→S(n t。0→∞)),则说{S_k}关于算子(N,p_n)收敛于S.设f(x)∈L_(?),S_n(f,x)为     

图K_(2n)\E(F_4)(n≥12)的点可区别边染色

对简单图G(V,E),设f是从E(G)到{1,2,…,k}的映射,k为自然数,如果.f满足:1)对任意的uv,uw∈E(G),v≠w,有.f(uv)≠f(uw);2)对任意的u,v∈V(G),u≠v,有C(u)≠C(v).则称f为图G的k-点可区别边染色法,而最小的k被称为点可区别边色数(其中C(u)={f(uv)|uv∈E(G)}.研究了图K_(2n)\E(F_4)(n≥12)的点可区别边色数.     

von Neumann代数上的局部可乘Lie n-导子

A_1,…,A_n的(n-1)-换位子记为p_n(A_1,…,A_n).令M是von Neumann代数,n≥2是任意正整数,L:M→M是一个映射.本文证明了,若M不含I_1型中心直和项,且L满足L(p_n(A_1,…,A_n))=∑_(k=1)~np_n(A_1,…,A_(k-1),L(A_k),A_(k+1),…,A_n)对所有满足条件A_1A_2=0的A_1,A_2,…,A_n∈M成立,则L(A)=φ(A)+f(A)对所有A∈M成立,其中φ:M→M和f:M→E(M)(M的中心)是两个映射,且满足φ在P_iMP_j上是可加导子,f(p_n(A_1,A_2,…,A_n))=0对所有满足A_2A_2=0的A_1,A_2,…,A_n,∈P_iMP_j成立(1≤i,j≤2),P_1∈M是core-free投影,P_2=I-P_1;若M还是因子且n≥3,则L满足条件L(p_n(A_1,A_2,…,A_n))=∑_(k=1)~n=p_n(A_1,…,A_(k-1),L(A_k),A_(k+1),…,A_n)对所有满足A_1A_2A_1=0的A_1,A_2,…,A_n∈M成立当且仅当L(A)=Φ(A)+h(A)I对所有A∈M成立,其中Φ是M上的可加导子,h是M上的泛函且满足h(p_n(A_1,A_2,…,A_n))=0对所有满足条件A_1A_2A_1=0的A_1,A_2,…,A_n∈M成立.     

多元正系数代数多项式倒数对非负连续函数的逼近

设d≥1为正整数,S为Rd中的单纯形,C(S)为S上的连续函数类,f(x)∈C(S),f(x)≥0,f≠0,则文中证明存在Pn(x)∈Ⅱ+n,d={Pn(x)=∑|k|≤n akxk(1-|x|)n-|k|x∈S,ak≥ 0},绝对常数C＞0使||f-1/Pn||≤C[ωψ(f,1/√n)+||f||/√n],这里k,x∈Rd,k=(k1,k2,…,kd),x=(x1,x2,…,xd),|k|=k1+k2+…+kd,|x|=x1+x2+…+xd,xk=x1k1x2k2…xdkd,ωψ(f,t)为单纯形S上的一阶Ditzian-Totik光滑模,||f||=maxx∈S|f(x)|.     

连续函数的l凸性

在研究函数的性态时,笔者发现如下定义的l凸函数,它反映了函数中普遍存在的凸偏移现象.定义:设f(x)是定义在实数集D上的实值函数,常数l∈R,若对 xk∈M( D),pk≥ 0,k=1,2,…,n, (n∈N,n≥2),∑nk=1pk=1,都有f(∑ni=1pixi+l)≤∑ni=1pif(xi)则称f(x)为M上的l凸函数;当-f(x)为l凸函数时,称f(x)为M上的l凹函数.下面给出连续函数具有l凸性的两个判定定理:定理 1:设f(x)是定义在 [a,a+2l] (l>0)上的连续的增函数,则f(x)是 [a,a+l]上的l凹函数,也是[a+l,a+2l]上的(-l)凸函数.证明:设xi∈[a,a+l] (i=1,2,…,n),x1≤x2≤…≤xn,则xi+l∈[a+l,a…     

关于多元凸函数的Bernstein多项式逼近的阶

1.引言 用△_k是表示R~k中的单纯形:△_k={X=(x_1,x_2,…,x_k)∈R~k|x_i≥0,i=1,2,…,k;sum from i=1 to k(x_i)≤1};C(△_k)表示定义在△_k上的连续函数的全体.记||f||=||f||_(△_k):=sup|f(X)|,ω(f,t):=sup |f(X)-f(Y)|。连续函数ω(t),t∈[0,+∞)称为     

关于用逐段多项式逼近

<正> 记,I=[-1,1],对自然数 n,命 x_j~(n)=-1+j/n,I_j~(n)=(x_(j-1)~(n),x_j~(n)),j=0,1,2,…,2n.又记 S_(n,k)为定义在 I—{x_j~(n}_j~(2n)=0上的这样的实函数 p_n(x)的全体:p_n(x)在每个区间,I_j~(n)(j=1,2,…,2n)中是次数不高于 k 的代数多项式.与通常的样条函数不同,我们并没有要求 p_n(x)在分点 x_j~(n)处的连续与光滑.关于用这类逐段多项式函数逼近 I 上的实函数 f(x),1974年 O.Shisha 证得如下的定理 设α>0,则 f 在 I 上满足(?)阶 Lipschitz 条件的充分兼必要条件是:有常数C,使得对于 n=1,2,…都有 p_n∈S_(n,0),适合不等式     

图K_(2n)\E(K_(2,m))(n≥9,m≥3)的点可区别边染色

对简单图G(V,E),设f是从E(G)到{1,2,…,κ}的映射,κ为自然数,如果f满足:1)对任意的uv,uw∈E(G),v≠w,有f(uv)≠f(uw);2)对任意的u,v∈V(G),u≠v,有C(u)≠C(v).则称f为图G的κ-点可区别边染色法,而最小的κ被称为点可区别边色数(其中C(u)={f(uv)|uv∈E(G)}).研究了图K_(2n)\E(K_(2,m))(n≥9,m≥3)的点可区别边色数.     

部分双曲集附近的拟跟踪性北大核心CSCD

引入部分双曲集的概念,证明了紧黎曼流形上的微分同胚在其部分双曲集的小邻域内具有如下形式的拟跟踪性:设f为紧黎曼流形M上的一个微分同胚,Λ为f的部分双曲集.则存在Λ的邻域O(Λ),使得对于任意ε>0,存在δ>0,使得f在O(Λ)中的任意δ-伪轨{x_k}k∈Z,存在点列{y_k}k∈Z,和中心向量列{u_k∈E_(xk)~c}k∈Z满足d(x_k,y_k)<ε,其中y_k=exp_(x_k)(exp_(x_k)^(-1)(f(y_(k-1)))+u_k).作为一个应用,给出任意微分同胚在C^0扰动下,如果在双曲集邻域内存在不变集,则其是拓扑拟稳定的.     

部分双曲集附近的拟跟踪性

引入部分双曲集的概念,证明了紧黎曼流形上的微分同胚在其部分双曲集的小邻域内具有如下形式的拟跟踪性:设f为紧黎曼流形M上的一个微分同胚,Λ为f的部分双曲集.则存在Λ的邻域O(Λ),使得对于任意ε0,存在δ0,使得f在O(Λ)中的任意δ-伪轨{x_k}k∈Z,存在点列{y_k}k∈Z,和中心向量列{u_k∈E_(xk)~c}k∈Z满足d(x_k,y_k)ε,其中y_k=exp_(x_k)(exp_(x_k)~(-1)(f(y_(k-1)))+u_k).作为一个应用,给出任意微分同胚在C~0扰动下,如果在双曲集邻域内存在不变集,则其是拓扑拟稳定的.     

基于灰色理论的线性回归模型的参数理论及应用

线性回归分析是数理统计学的基本内容之一,但传统数理统计学中的线性回归分析,是建立在非模糊的随机数据上的线性回归估计和回归系数检验。而现实经济社会中大量存在含有模糊或灰色等不分明性的数据,面对这类不分明性数据,简单地使用传统的统计分析方法显然是不足取的。要想较为科学合理地分析与决策,需要利用灰色系统的相关理论,应用于随机系统信息,从而建立灰色线性回归估计、预测和灰色回归系数检验的基本理论方法,并把该方法应用于金融分析实例中,与经典线性回归分析方法进行对比,足见灰色线性回归方法能够提供比经典线性回归较多的有效信息,从而提出处理不分明数据新的方法。     

PARALLEL STABILIZATION

1.IntroductionLetusconsideranevolutionsystemwhosestateisgivenbythesolutionofaPartialDifferentialEquation(PDE)whichiswritten(formallyforthetimebeing)asIn(1.1),(1.2),whichmaybealinearoranonlinearPDE,ydenotesthestate,andvdenotesthecontrol.TheoperatorA,w...     

On asymptotic equivalence of linear and quasilinear difference equations

The asymptotic equivalence of systems of difference equations of linear and quasilinear type is investigated. The first result on the asymptotic equivalence of linear systems is a discrete analog of an improved version of the Levinson's well-known theorem on asymptotic equivalence of linear differential equations, while the second one providing conditions for asymptotic equivalence of linear and quasilinear systems is related to that of Yakubovich in differential equations case.     

Spectral Bounds for Tricomi Problems and Application to Semilinear Existence and Existence with Uniqueness Results

For the linear Tricomi problem, it is shown that real eigenvalues corresponding to generalized eigenfunctions must be positive and that the energy integral methods used to prove solvability results can give lower bounds on the spectrum. Exploiting the linear solvability theory and spectral information, standard nonlinear analysis tools are employed to yield results on existence and uniqueness for semilinear problems. In particular, using the Leray-Schauder principle, existence of generalized solutions with sublinear nonlinearities is established. For sublinear or asymptotically linear nonlinearities that satisfy a Lipschitz condition, the contraction mapping principle is employed to give results on existence with uniqueness. The Lipschitz constant depends on lower bounds for the spectrum of the linear problem. For certain superlinear problems, maximum principles for the linear problem are used via the method of upper and lower solutions to give results on existence.     

Boundedness and closedness of linear relations

This paper focuses on boundedness and closedness of linear relations, which include both single-valued and multi-valued linear operators. A new (single-valued) linear operator induced by a linear relation is introduced, and its relationships with other two important induced linear operators are established. Several characterizations for closedness, closability, bundedness, relative boundedness and boundedness from below (above) of linear relations are given in terms of their induced linear operators. In particular, the closed graph theorem for linear relations in Banach spaces is completed, and stability of closedness of linear relations under bounded and relatively bounded perturbations is studied. The results obtained in the present paper generalize the corresponding results for single-valued linear operators to multi-valued linear operators, and some improve or relax certain assumptions of the related existing results.     

Optimal finite-dimensional solution for a class of nonlinear observation problems

The filtering problem in a differential system with linear dynamics and observations described by an implicit equation linear in the state is solved in finite-dimensional recursive form. The original problem is posed as a deterministic fixed-interval optimization problem (FIOP) on a finite time interval. No stochastic concepts are used. Via Pontryagin's principle, the FIOP is converted into a linear, two-point boundary-value problem. The boundary-value problem is separated by using a linear Riccati transformation into two initial-value problems which give the equations for the optimal filter and filter gain. The optimal filter is linear in the state, but nonlinear with respect to the observation. Stability of the filter is considered on the basis of a related properly linear system. Three filtering examples are given.     

An effective method for solving linear programming problems with flexible constraints

For solving linear programming problems with flexible constraints being specific piecewise linear programs a new algorithm which is based on a systematic decomposition of the feasible set into linear constrained subsets is proposed and shown to converge.     

有限维张量积空间上的强可分算子

设F是一个域,a∈F~nF~m.若存在h∈F~m,k∈F~m,使得a=hk,则称a是可分的.空间F~nF~m上的线性算子A称为是强可分的,是指x∈F~nF~m,x可分Ax可分.本文证明了F~nF~n上的线性算子A是强可分的当且仅当存在F~n上的线性双射A_1与A_2,使得A=A_1A_2或A=A_1~T A_2;证明了F~nF~m(n≠m)上线性算子A是强可分的当且仅当存在F~n与F~m上的线性双射A_1与A_2,使得A=A_1A_2.最后,给出了可分算子、强可分算子和秩1保持映射之间的关系.     

Posynomial geometric programming as a special case of semi-infinite linear programming

This paper develops a wholly linear formulation of the posynomial geometric programming problem. It is shown that the primal geometric programming problem is equivalent to a semi-infinite linear program, and the dual problem is equivalent to a generalized linear program. Furthermore, the duality results that are available for the traditionally defined primal-dual pair are readily obtained from the duality theory for semi-infinite linear programs. It is also shown that two efficient algorithms (one primal based and the other dual based) for geometric programming actually operate on the semi-infinite linear program and its dual.     

带有不完全椭球约束的生长曲线模型中线性估计的可容许性

对于带有不完全椭球约束的生长曲线模型Y=XBZ+ε,ε~(0,σ2VI),X(B-B0)Z′NZ(B-B0)′X′≤σ2In,本文在矩阵损失函数(d-KBL)(d-KBL)′下给出了KBL在类齐次线性估计类LH与非齐次线性估计类LI中可容许的充要条件.本文的结果表明线性估计在非齐次线性估计类中的可容许性与椭球的中心B0无关,而齐次线性估计在齐次线性估计类中的可容许性与B0有关.