关于双参数半群的几点注记

Let B be a Banach space, {T_(s,t), 0≤s≤t≤∞} be a two-parameter contraction semigroup on B, and {R_(λ,s),λ>0, s≥0} be the right resolvent. Definition Let D such that     

关于双参数半群的预解式(1)(英文)

Let B be a Banach space. {T_(s,t),00, s<0). Then {Q_(λ,s),λ>0, s>0}and {R_(λ,s), λ>0, s>0). Then {Q_(λ,s), λ>0, s>0} and {R_(λ,s), λ>0,s>0} are said to be the left and right resolvent of {T_(s,t)} respectively.     

关于双参数半群的几个结果

Let B be a Banach space. The definitions on the strong convergence, continuation, derivative and integral (namely Bochner integral) are the same as Ref. [1]. Definition 1. Let {T_(s,t)0相似文献   

关于双参数半群的预解式(2)(英文)

This paper is a continuation of the paper [1]. In this paper, we introduce the concept of the left double resolvent of a two-parameter semigroup, and obtain some results. Theorem 1 Let B be a Benach space. {T_(s,t)} be a two-parameter contraction     

(QL)型Fuzzy拓扑线性空间的乘积和商空间(英文)

In this paper, we have got some properties of product and quotient spaces of fuzzy topologioal vector spaces of type (QL) (cf. Wu Congxin, Fang Jinxuan, Annals of Math., 6A (1985), 3: 355-364), whereby we work out a representation theorem of locally ccnvex spaces. Fuzzy topological vector space is short for FTVS in the following text. Lemma 1. Let (X,T) be a FTVS of type (QL) and {‖·‖_d: d∈D} be the family of Lasalle pseudonorms generating T, then the fuzzy net {X_(λα)~((α)): α∈A} converges to x_λiff for each ε>o, o<δ<λand ‖·‖_d, there exists α∈A such that ‖x-x_(λn)~((n))‖_d<ε, λ_n>λ-δwhenever n≥α. Let (X,T) be the product space of a family of FTVSs(X_α,T_α) (a∈A); P_α     

cmc(X)为GAK—空间的特征(英文)

Let X be a locally convex space and X~* its dual space.Let N(X) denote a localbase neighborhoods 0∈X which are barrells.For each U∈N(X),letP_U(x)=sup{|f(x)|:f∈U~0}, (?)x∈X,where U~0 is polar of U with respect to the dual pair (X, X~*).Then P_U is a continuousseminorm on X. Pietsch gave the vector-valued sequence space l_1[X] as follows:     

空间Λ(E)的桶性

Termonology used in this paper is the same as in paper[1].Let Λbe a perfect sequence space with μ-topology and E a locally convex space.Thevector-valued sequence space Λ(E)and the topology Γ_πon Λ(E)are defined in[1].Through-out this paper,Let Λ~x have the strong topology β(Λ~x,Λ)and E~* have the strong~* topology     

Fuzzy拓扑线性空间的局部P凸性与赋拟P范

In this paper, the fuzzy topological linear space is expressed as ftls., P∈(0,1]. Definition 1. Let X be alinear space. For every X_λ∈X(X is the classical set of all fuzzy points on X) there is a real number ||x_λ||p≥0, which, corres-     

奥伦斯坦——乌伦贝克过程的非线性予测问题

设 U(t)是数学期望为0、协方差函数为 e~-|τ|的奥伦斯坦——乌伦贝克过程。我们将从随机过程 X(t)=f(U(t))着手,其中 f 是满足某些条件的Borel 可测函数。本文将根据观测值 X(s),s≤t,来求得 X(t τ),τ>0的最佳非线性予测量 (t,τ),并给出确定 U(t)值的算法规则。最佳非线性予测量由下式给出: (t,τ)=E{x(t τ)|B_t(x)},其中 B_t(x)是由{X(s):s≤t}所产生的最小σ—代数,并定义 U(t)的半群{Tτ:τ≥0}如下:(Tτf)(x)=∫f(y)[2π(1-e~(-2τ))] exp{- 于是,由 U(t)的 Markov 性,得 (t,τ)=E{(Tτf)(U(t))|B_t(X)}。此外,把迭对数定律应用于布朗运动过程(即 Wiener 过程)并注意到 U(t)的强 Markov 性,可引出如下结果:O(T,ω)= |(f′U(T))|,其中 T 是 U(t)的一个停止时间。我们的讨论要局限于几种特殊情形,同时给出最佳非线性予测量 (t,τ)的显式表达式。     

奇异超线性和次线性n阶m点边值问题的非平凡解

在相应线性算子第一特征值的条件下,讨论超线性和次线性n阶m点边值问题{u(n)(t)+a(t)f(u(t))=0,t∈(0,1)m-2,其中:n≥2,m≥2,0η1η2…u(0)=u'(0)=…=u(n-2)(0),u(1)=∑αiu(ηi)i=1m-2ηm-21,αi0,(i=1,2,…,m-2)且∑αiηn-1i1.在此允许a(x)在x=0和x=1奇异,f不i=1必是非负的.利用锥上的拓扑度理论获得非平凡解的存在性.     

ECT系的一个特征

假{u_i)_0~(n 1)(n≥2)是[a,b]上的ECT系,我们考虑用{u_i}_0~n线性组合来逼近u_(n 1),记它的最佳逼近为u_* 即有本文证明了定理|(u_(n 1)-u_*(a)|=|(u_(n 1)-u_*)(b)|=‖u_(n 1)-u_*‖设{u_i}_0~n是有限区间[a,b]上的ECT系(定义见[1]),若u_0,u_1,…,u_n都属于C~n_[a,b]且满足初始条件: u_k~(p)(a)=0,p=0,1,…,k-1,k=1,2…,n,那末有(见[1]第379页定理1.2) u_0(t)=w_0(t)其中W_i(t)(i=0,1,…,n)是在[a,b]上严格正,且属于C_([a,b])~(n-i),本文讨论上述形式的ECT系。设f∈_([a,b]),用{u_i}_0~n的线性组合来逼近f,大家知道这样的最佳逼近总是存在,唯一的。我们记这个最佳逼近多项式为u_*(t)。则     

一般的Kalton型定理

In locally convex space theory,there is a nice result due to N.J.Kalton as follows(see [1] and [2]):Let (E,F) be a dual pair of vector spaces and suppose that τis an (E,F)-polartopology on E such that (E,τ) is separable.Then if ∑x_j is σ(E,F)-subseriesconvergent,then it is τ-subseries convergent.     

Signed Total Domination in Graphs

Let G = (V, E) be a simple graph. For any real valued function f: V→R, the weight of f is f(V) = ∑(v) over all vertices v ∈V. A signed total dominating function is a function f: V→|- 1, 1|such that f( N ( v ) ) ≥1 for every vertex v ∈ V. The signed total domination number of a graph G equals the minimum weight of a signed total dominating function on G. In this paper, some properties of the signed total domination number of a graph G are discussed.     

一类Gauss过程的连续模

本文讨论一类Gauss过程{X(t),-∞相似文献   

Hyers-Ulam-Rassias stability of approximate isometries on restricted domains

Let X and Y be real Banach spaces. The stability of Hyers-Ulam-Rassias approximate isometries on restricted domains S(unbounded or bounded) for into mapping f: S→Y satisfying ‖f(x)-f(y)‖-‖x-y‖≤ε(x,y) for all x,y∈S is studied in case that the target space Y is uniformly convex Banach space of the modulus of convexity of power type q≥2 or Y is the Lq(Ω,,μ) (1＜q＜ ∞) space or Y is a Hilbert space. Furthermore, the stability of approximate isometries for the case that (x,y)=‖x‖p ‖y‖p or (x,y)=‖x-y‖p for p≠1 is investigated.     

On Minus Paired－Domination in Graphs

The study of minus paired-domination of a graph G = ( V, E) is initiated. Let S lontain in V be any paired-dominating set of G, a minus paired-dominating function is a function of the form f: V→ { - 1, 0, ｝such that f(υ) = 1 for υ∈S, f(υ)≤0 for υ∈V- S, and f(N[υ])≥l for all υ∈V. The weight of a minus paired-dominating function f is ω(f)=∑f(υ), over all vertices υ∈V. The minus paired-domination number of a graph G is γp^-(G)= min｛ω (f)| f is a minus paired-dominating function of G｝. On the basis of the minus paired-domination number of a graph G defined, some of its properties are discussed.     

L—U Fuzzy目标规划

We give a fuzzy goal programming (L-UFGP).Definition 1 Let X(?)E_n,A is called a generalized fuzzy set on E_n with respect toX iff (?)(x)∈[0,1] for x∈X and (?)(x)∈E_1 for x∈E_n\X.Definition 2 Let i∈(1,...,p),R(?)E_n,(?)={x∈R|l_i≤f_i(x)≤u_i} and (?)(f_i(x)) be ageneralized fuzzy set on E_n with respect to (?),(?) is called a fuzzy goal set of f_i(x)iff (?)(y) is a strictly increasing function on E_(?) and (?)(l_i)=0,(?)(u_i)=1.Here l_i iscalled a lower goal of f_i(x) and u_i is called an upper goal of f_i(x).     

关于一类极限定理的信息条件Ⅱ

设{X_n,n≥0}是在E={1,2,…,m}中取值的随机变量序列,A_n(i,j,ω)是序偶列(X_0,X_1),(X_1,X_2),…,(X_(n一1),x_n)中序偶(i,j)出现的次数。本文引进{X_i,O≤i≤n}相对于马尔科夫分布的相对熵密度偏差的概念,并利用这个概念研究A_n(i,j,ω)/n的极限性质。     

Wendroff型积分不等式的一个推广及其在微分方程特征初值问题中的应用

In the qualitative analysis of differential equation integral inequalities play a vital role. An inequality due toGronwall continuous to draw the attention of mathematicianm because of its usefulness. The nonlinear generalization of this inequality due to Bihari is as follow: Lemma Let u (x), a (x) be non-negative continuous functiom in 0≤x≤X and k≥0, further g(s) a non-negative non-decreasing continuous function for s≥0 and g (s) >0 for s>0. Then the inequality     

关于马尔可夫链平稳分布定义的几点注记

马尔可夫链平稳分布有两种不等价的定义: 定义1 设{x(n),n=0,1,2,…}为马氏链,E={0,1,2,…)为状态空间。若对An及i∈E,有 P{X(n)=i}=P{X(o)=i}=P_i 则称{P_i,i∈E}为马氏链的平稳分布。定义2 设{x(n).n=0,1,2,…}为马氏链,E={0,1,2,…}为状态空间,P_(ij)为一步转移概率,{π_i,i∈E}为概率分布。若{π_i,i∈E}满足方程组π_i=sum from j=0 to ∞π_j P_(ji) ,i=0,1,2,…则称{π_i,i∈E}为马氏链的平稳分布。本文通过一系列定理,对这两种定义进行比较,从而看出它们的异同点。