排序法计算指数寿命型元件失效率经典精确最优置信上限

设有指数寿命型元件,寿命服从参数为λ的指数分布,λ未知,设有此元件的分组数据(grouped data):对N个元件进行定时检测,0=t_0相似文献   

On the Partial Asymptotic Stability for Linear Time-Varying System

Consider system where y=(x_1,…,x_m)~T, z=(x_(m 1),…,x_n)~T, A(t),B(t), C(t) and D(t) are the corresponding continuous matrices, (suppose that p=n-m>0). Let K_p(t)=(B_1~T(t),…,B_p~T(t)) (B_1~T(t)=B~T(t),B_i~T(t)=D~T(t)B_(i-1)~T(t) B_(i-1)~T(t), i=2,…, p. Suppose that rank K_p(t)=h,let L_i(t) is a transposed matrix from the columns at which the nonzero subeterminant of order h in K_p(t) was located, L_2 satisfies that L_1(t)L_2~T=0 and det L_0(t)≠0. Let U=L(t)x, we can reduce system (1) to (2) as follows.     

关于线性正三角多项式算子CV_m~*逼近

设 M 为 N 函数(参考[1]).f(t)是定义在[α,b]上的实函数.若V_M(f)=(?)M(f(t_(i+1))-f(t_i))<∞,其中 D 取遍[a,b]的一切分划:a=t_00,使得 kf(t)     

n阶非线性泛函微分方程的渐近性和非振动性

§1.引言本文讨论n阶非线性泛函微分方程 L_nx(t)+P(t)L_(n-1)x(t)+f(t,x(t),x(g(t)))=h(t) (1)解的渐近性和非振动性,其中L_0x(t)=x(t),L_kx(t)=a_k(t)(L_(k-1)x(t))′,k=1,2,…u,a,p,h,g∈C~0E[t_0,∞),且a_k(t)>0,k=1,2,…n-1,a_n(t)=1;t_0≤g(t)≤t,当t→∞时,g(t)→∞;f∈C~0([t_0,∞)×R_2,R)。我们给出了方程(1)的所有振动解和有界解具有渐近性态:L_kx(f)→0,k=0,1,2,…n-1,的若干充分性准则,并给出了它不存在有界振动解的几个保证性条件。所得定理和推论都分别推广了文[1]-[4]的相应结果。     

变分方法对一类p阶超线性脉冲微分方程的应用

本文研究一类p阶超线性脉冲微分方程—(|z'(t)|~(p-2)z'(t))'=g(t,z(t),z'(t)),t≠t_i,a.e.,t∈[0,T],△z'(t_i)=I_i(z(t_i)),i=1,2,...,l,z(0)=z(T)=0,(0.1)其中p≥2.对上述问题(0.1)的研究将转化为对下列辅助问题的研究:—(|z'(t)|~(p-2)z'(t))'=g(t,z(t),ω'(t)),t≠t_i,a.e.,t∈[0,T],△z'(t_i)=I_i(z(t_i)),i=1,2,...,l,z(0)=z(T)=0.(0.2)与已有的利用变分法研究脉冲方程的文献相比,本文的不同之处有两点,其一是本文没有直接对问题(0.1)应用变分法,原因是本文研究的问题类型不同于已有文献;其二是本文没有作通常的PalaisSmale(简记为(PS))型紧性条件假设,而是采用了更为广泛的假设,本文给出两个例子和一个命题以说明本文假设的广泛性.     

解非线性多点边值问题的一类拟牛顿法

(一)引言 考虑非线性多点边值问题 x=f(x,t) t_1≤t≤t_m (1.1) g(x(t_1),…,x(t_m)=0 t_1相似文献   

Forced oscillation of second order differential equations with mixed nonlinearities

This article is concerned with the oscillation of the forced second order differential equation with mixed nonlinearities a(t) x ′ (t) γ′ + p 0 (t) x γ (g 0 (t)) + n i =1 p i (t) | x (g i (t)) | α i sgn x (g i (t)) = e(t), where γ is a quotient of odd positive integers, α i > 0, i = 1, 2, ··· , n, a, e, and p i ∈ C ([0, ∞ ) , R), a (t) > 0, gi : R → R are positive continuous functions on R with lim t →∞ g i (t) = ∞ , i = 0, 1, ··· , n. Our results generalize and improve the results in a recent article by Sun and Wong [29].     

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。     

小时间区间中的条件扩散过程

本文讨论具有一致连续系数条件扩散过程的大偏差性质。设X(t)是具有Dirichlet空间(ξ、H_0~1(P_0~d))的扩散过程,其中 ξ(f,g)=1/2 integral from n=R~d to (〈▽f,▽g〉(x)dx)。 P_a~e是过程x_6(t)=x(∈t)满足条件x_6(0)=x,x_6(1)=y的律。那么当∈→0时,(P_(?)~(?),y)具有大偏差性质,且具有速率函数 J_(x,y)(ω)=1/2 integral from n=0 to 1(〈(?)(t),a(-1)(ω(t)),(?)(t)〉dt-1/2 d~2(x,y)。     

多维非退化扩散过程的象集与图集的一致Packing维数

设B(t)=(B(t))=(B1(t),B2(t),…,BN(t))为N维Brown运动,设α(x)=(αij(x),1(≤)I(≤)d,1(≤)j(≤)N),β(x)=(βi(x),1(≤)I(≤)d),x∈Rd,1(≤)d(≤)N,α(x)和β(x)有界连续和满足Lipchitz条件,且存在常数c0＞0,使得对每个x∈Rd,a(x)=α(x)α(x)*的每个特征根都不小于c0.设dX(t)=α(X(t))dB(t) β(X(t))dt,设d(≥)3.可以证明P(ωDimX(E,ω)=DimGRX(E,ω)=2DimE,(A)E∈B[0,∞))=1.这里X(E,ω)={X(t,ω)t∈E},GRX(E,ω)={(t,X(t,ω))t∈E},DimF表示F的Packing维数.     

REVERSIBLE MARKOV PROCESSES IN ABSTRACT SPACE

Let \[(E,{\cal E})\] be a measurable space and every single point set {x} belong to \[(E,{\cal E})\].\[q(x) - q(x,A)(x \in E,A \in {\cal E})\]is said to be a q-pair, if (i) For fixed i，q(°), Л)\[A,q(),q(,A)\] is a \[{\cal E}\]-measurable function of x; (ii) For fixed \[x,q(x, \cdot )\] is a measure on \[{\cal E}\], and \[\begin{array}{l} 0 \le q(x,A) \le q(x,E) \le q(x) < \infty .(\forall x \in E,\forall A \in {\cal E})\q(x,\{ x\} ) = 0,(\forall x \in E) \end{array}\] A q-pair of furiotions q (x)- q (x,A) is called conservative when \[q(x,E) = q(x),(\forall x \in E)\]. \[{P_t}(x,A)(t \ge 0,x \in E,A \in {\cal E})\] is said to be a q-process, if (i) For fixed t, A, \[{P_t}(x,A)\] is a \[{\cal E}\]-measnrable function of x; (ii)For fixed t,x, \[{P_t}(x, \cdot )\] is a measure on ê\[{\cal E}\] and \[0 \le {P_t}(x,E) \le 1\]; (iii) \[{P_{s + t}}(x,A) = \int_E {{P_t}} (x,dy){P_s}(y,A),{\kern 1pt} {\kern 1pt} {\kern 1pt} (x \in E,A \in {\cal E},t,s \ge 0)\] (iv)\[\mathop {\lim }\limits_{t \to {0^ + }} \frac{{{P_t}(x,A) - {I_A}(x)}}{t} = q(x,A) - q(x){I_A}(x)(\forall x \in E,\forall A \in {\cal E})\] It is called honest when \[{P_t}(x,E) = 1,{\kern 1pt} {\kern 1pt} {\kern 1pt} (\forall t \ge 0,\forall x \in E)\] A q-process \[{{P_t}(x,A)}\] is called reversible, if there is a probability measure \[\mu \] on \[{\cal E}\] such, that \[\int_A {\mu (dx){P_t}} (x,B) = \int_B {\mu (dx){P_t}} (x,A){\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} (\forall t \ge 0.\forall A,B \in {\cal E})\] In this paper, we obtain some oriterions for (i)The existence of a reversible q-process;. (ii)The existence of a honest reversible q-process； (iii)The uniqueness of reversible q-process when the q-pair is conservative.     

一类非自治非线性系统的渐近稳定性

考虑方程组(E) (dx)/(dt)=f(t,x),其中 x=(x_1,x_2,…,x_n)~T,f(t,x)=(f_1(t,x),f_2(t,x),…,f_n(t,x))~T 在区域 D:t≥t_0≥0,‖x‖≤H,H>0;上连续可微,且 f(t,0)≡0.用 x=x(t;t_0,x_0)表示(E)的具有初值 x(t_0;t_0,x_0)=x_0的解.对于方程组(E),我们有下面的引理:引理 对于方程组(E),如果存在一个正定的函数 V(t,x)满足微分不等式(dV)/(dt)≤ω(t,V) (1)且比较方程     

一维问题的一种积分形式的流量重构算法

1引言我们考虑如下一维二阶椭圆边界值问题(-(β(x)p′)(x))′=f(x),x∈(a,b) p(a)=p(b)=0(1))其中β=β(x)是一恒正函数,且β∈H~1(a,b),f∈L~2(a,b)．事实上,在此条件下,我们可保证p∈H~2(a,b)(见[1],[2])．(1)之弱形式为：求p∈H_0~1(a,b)使得a(p,q)=(f,q),(?)q∈H_0~1(a,b),(2)其中a(p,q)=(?)_a~bβp′q′dx,(f,g)=(?)_a~bfqdx．给定(a,b)的一个分割α=x_0＜x_1＜…＜x_(n-1)＜x_n=b,令h=(?)(x_i-x_(i-1)),(?)_i表示通常相应于节点x_i的形状函数,即(?)_i是连续的分段线性函数且满足(?)_i(x_k)=δ_(ik),这里δ_(ik)=(?)i,k=0,1,…,n．又记V_h~0=span{(?)_1,(?)_2,…,(?)_(n-1)),取V_h~0作为p的逼近空间,则求解(1)的标准有限元格式为：求ph∈V_h~0使得     

On Applications of Vector Measure to the Optimal Control Theory for Distributed Parameter Systems

Let X and Z be two reflexive Banach spaces, U\in Z and b(\cdot,\cdot):[t_0,T]*U\rightarrow X continuous. Suppose $x(t)\equiv x(t,u(\cdot))$ is a function from [t_0, T] into X , satisfying the distrbnted parameter system $dx(t)\dt=A(t)x(t)+b(t,u(t)),t_0+\int_t_0^T {+r(t,u(t))dt}$. We have proved the following theorem. Theorem. Suppose u^*(\cdot) is the optimal control function, $x^*(t)=x(t,u^*(\cdot))$ and $\psi (t)=-U'(T,t)Q_1x^*(T)-\int_t^T{U'(\sigma,t)Q(\sigma)x^*(\sigma)d\sigma}$, then the maximum principle $<\psi(t),b(t,u^*(t))>-1/2r(t,u^*(t))=\mathop {\max }\limits_{u \in U} {\psi (t),b(t,u)>-1/2r(t,u)}$ (16) holds for almost all t on [t_0, T ].     

WEAK TRAVELLING WAVE FRONT SOLUTIONS OF GENERALIZED DIFFUSION EQUATIONS WITH REACTION

The author demonstrate that the two-point boundary value problem {p′(s)=f′(s)-λp^β(s)for s∈(0,1);β∈(0,1),p(0)=p(1)=0,p(s)&gt;0 if s∈(0,1),has a solution(λ^-，p^-（s）),where |λ^-| is the smallest parameter,under the minimal stringent restrictions on f(s), by applying the shooting and regularization methods. In a classic paper, Kohmogorov et.al.studied in 1937 a problem which can be converted into a special case of the above problem. The author also use the solution(λ^-,p^-(s)) to construct a weak travelling wave front solution u(x,t)=y(ξ),ξ=x-Ct,C=λ^-N/(N+1),of the generalized diffusion equation with reaction δ/δx（k（u）|δu/δx|^n-1 δu/δx)-δu/δt=g（u），where N&gt;0,k(s)&gt;0 a.e.on(0,1),and f(a):=n+1/N∫0ag(t)k^1/N(t)dt is absolutely continuous ou[0,1],while y(ξ) is increasing and absolutely continuous on (-∞,+∞) and (k(y(ξ))|y′(ξ)|^N)′=g(y(ξ))-Cy′(ξ)a.e.on(-∞，+∞）,y(-∞)=0,y(+∞)=1.     

NEUMANN PROBLEM FOR THE LANDAU-LIFSHITZ-MAXWELL SYSTEM IN TWO DIMENSIONS

91. IntroductionIn 1935, LandauLifshitz[1] proposed the fOllowing coupled system of the nonlinear evo-lution equationZr = --a,t x (2 x (b f H)) a,E x (b f A), (1.1)- 8E7 x H = -- aE, (1.2)0t- 0H 0ZV x E = ---- -- pfZ0t p7' (1'3)v. A gv. 2 = 0, v. E = 0, (l.4)where a1, a2, a, g are constants, cr1 2 0, a 2 0, Z(x,t) = (Z1(x,t), Z2(x,t), Z3(x,t))denotes the microscopic magnetization field, H = (H1 (x, f), H2(x, t), H3(x, t)) the magneticfield, E(x, t) = (E1(x, t), E2(x, t), E3(…     

Strong approximation of empirical process with independent but non-identically distributed random variables

Let{Y_t,t=1,2,…} be independent random variables with continuous distribution functionsF_i(y).For any y,dencte s=F_t(y)=1/t sum from i=1 to t F_i(y).The empirical process is defind by t~(-1/2)R(s,t) whereR(s,t)=t(1/t sum from i=1 to t I_((?)_t(Y_i)≤s)-s)=sum from i=1 to t I_(?)-ts=sum from i=1 to t I_(?)-(?)_t(y)=sum from i=1 to t I_(Y_(?)≤y)-sum from i=1 to t F_i(y).The purpose of this paper is to investigate the asymptotic properties of the empirical processR(s,t).We shall prove that for some integer sequence {t_k},there is a (?)-process (?)(s,t) such that(?)|R(s,t_k)-(?)(s,t_k)|=O(t_k~(1/2)(log t_k)~(-1/4)(log log t_k)~(1/2))a.s.where (?)(s,t) is a two-parameter Gaussian process defined in §1.     

非线性二阶中立型时滞微分方程正解的存在性

考虑非线性二阶中立型微分方程,[a(t)x(t)-∑ from i=1 to m (p_i(t)x(τi(t)))]″-∫from n=a to b (f(t,ξ,x[g(t,ξ)])dσ(ξ))=0,t≥t_0,和相应不等式[a(t)x(t)-∑ from i=1 to m (p_i(t)x(τi(t)))]″-∫from n=a to b (f(t,ξ,x[g(t,ξ)])dσ(ξ))≥0,t≥t_0.存在正解是相互等价的.其中a(t),pi(t)∈C([t0,∞),R+),a(t)>0,τi(t)∈C(R~+,R~+),τi(t)t,limt→∞τi(t)=∞(i=1,2,…,m).g(t,ξ)∈C([t_0,∞)×[a,b],R+).g(t,ξ)是分别关于t和ξ的增函数.g(t,ξ)t,ξ∈[a,b],limt→∞,ξ∈[a,b]g(t,ξ)=∞.f(t,ξ,x)∈C([t_0,∞)×[a,b]×R,R+).当x>0时,xf(t,ξ,x)>0.σ(ξ)∈C([a,b],R),且σ(ξ)非减.     

IDENTIFICATION OF PARAMETERS IN SEMILINEAR PARABOLTC EQUATIONS

1IntroductionWeconsiderthefollowingsystem:notu--Z0',(a(x)ox.u)=f(x,t,u),(x,t)EQ,i=1,u(x,t)=0,(x,t)ES,(1)u(x,0)=u000,xEfi,wherefiisaboundeddomaininR"(n21),Q={(x,t):xEfi,tE(0,T)}with0相似文献   

拟线性奇异摄动问题一致收敛差分格式

1 引言 我们考虑拟线性奇异摄动Dirichlet问题 εy″-(f(y))′-b(x,y)=0,0相似文献