半线性蜕缩椭圆型方程的Dirichlet问题

设Ω(?)R~n(n≥2)是光滑有界区域.讨论如下的半线性蜕缩椭圆型方程的Dirichlet问题Lu ≡-sum from i,j=1 to n((?)/(?)x_i)(aij(x)((?)u/(?)xj)=g(x,u) (x,u),在Ω中,u=0,在(?)Ω上。(1)这里,且sum from i,j=1 to n(aijξiξj≥k sum from i=1 to n(ρ~a_i(x)ξ_i~2),(?)x∈(?),(?)ξ∈R~n,(2)     

THE GLOBAL SMOOTH SOLUTIONS OF SECOND ORDER QUASILINEAR HYPERBOLIC EQUATIONS WITH DISSIPATIVE BOUNDARY CONDITIONS

The paper deals with the following boundary problem of the second order quasilinear hyperbolic equation with a dissipative boundary condition on a part of the boundary:u_(tt)-sum from i,j=1 to n a_(ij)(Du)u_(x_ix_j)=0, in (0, ∞)×Ω,u|Γ_0=0,sum from i,j=1 to n, a_(ij)(Du)n_ju_x_i+b(Du)u_t|Γ_1=0,u|t=0=φ(x), u_t|t=0=ψ(x), in Ω, where Ω=Γ_0∪Γ_1, b(Du)≥b_0>0. Under some assumptions on the equation and domain, the author proves that there exists a global smooth solution for above problem with small data.     

关于并行迭代区域分解算法的松弛因子

1引言考虑二阶椭圆型Dirichlet边值问题的弱形式,求u∈H_0~1(Ω)使得a(u,v)=(f,v),(?) v∈H_0~1(Ω),(1)其中Ω是平面多角形区域,f∈L~2(Ω),(f,v)=∫_Ωfvdx,a(u,v)=∫_Ω(sum from i,j=1 to 2 a_(ij)(?)u/(?)x_i(?)等 a_0uv)dx,其中[a_(ij)]在Ω上对称一致正定,a_(ij)在Ω上分片连续有界,a_0≥0．由Lax-Milgram引理,问题(1)在H_0~1(Ω)中有唯一解．     

GLOBAL EXISTENCE OF THE SOLUTIONS TO NONLINEAR HYPERBOLIC EQUATIONS IN EXTERIOR DOMAINS

This paper deals with the following IBV problem of nonlinear hyperbolic equations u_(tt)- sum from i, j=1 to n a_(jj)(u, Du)u_(x_ix_j)=b(u, Du), t>0, x∈Ω, u(O, x) =u~0(x), u_t(O, x) =u~1(v), x∈Ω, u(t, x)=O t>O, x∈()Ω,where Ωis the exterior domain of a compact set in R~n, and |a_(ij)(y)-δ_(ij)|= O(|y|~k), |b(y)|=O(|y|~(k+1)), near y=O. It is proved that under suitable assumptions on the smoothness,compatibility conditions and the shape of Ω, the above problem has a unique global smoothsolution for small initial data, in the case that k=1 add n≥7 or that k=2 and n≥4.Moreover, the solution ham some decay properties as t→ + ∞.     

多维拟线性退化抛物方程Cauchy问题解的唯一性和稳定性

本文证明了拟线性退化抛物方程 (e)u/(e)t=n∑i=1 (e)/(e)xi(aij(u)(e)u/(e)xi)+n∑i=1 (e)bi(u)/(e)xi -c(u), u(x,0)=u0(x),aij(u)ξiξj≥0,(A)ξ∈Rn 的Cauchy问题BV解的唯一性和稳定性.     

非负全连续算子的谱模

设 A=(a_(ij))是 l_2中一个全连续算子,其中a_(i_1j)≥0.当 A~*A 为不可约时,本文证明了|||A|||+2=min{r(B)c_1(C)∶A=BoC},其中 A=BoC 表示对一切 i,j,a_(ij)=b_(ji)c_(ji),r(B)=sup(sum from j=1 to ∞ |b_(ij)|~2)~(1/2),c_1(C)=(sum from i=1 to ∞ (c_(ji)~2)~(1/2),并给出极小解的具体形式.文中所有结果均适用于 A_(mn)为一 m×n 矩阵的情形     

广义严格对角占优阵的判定程序

1 引言和符号 在本文中,均采用下列符号而不再重申.恒用N表示前n个自然数的集合;而用Mn(C)和Mn(R)分别表示所有n阶复矩阵和所有n阶实矩阵的集合. Z_N={A|A=(a_(ij))_(n×n)∈Mn(R),a_(ij)≤0,i,j∈N,i≠j},I恒表示单位矩阵. 如果A∈Mn(R)且A的所有元素都为非负实数,则称A为非负方阵,并记为A≥0;若A的所有元素都为正数,则称A为正矩阵,并记为A>0. 对A=(a_(ij))(n×n)∈Mn(C),令A_i(A)=sum from j=1 j≠i to n (|a_(ij)|(i=1、2…… n)) ;若把A的非零元用1代替 而得到—个n阶(0,1)矩阵。称为A的导出矩阵。记为;而把A的比较矩阵记为 u(A)=(b_(ij))_(n×n))其中b_(ij)=|a_(ij)|,b_(ij)=-|a_(ij)|(i,j∈N i≠j)     

几类非自治系统的指数渐近稳定性

§1.预备知识对向量及矩阵引进模的概念如下:向量x的模记为||x|| ||X|| sum from i=1 to n |x_i|矩阵A的模记为||A|| ||A||sum from i.j=1 to n |a_(ij)|引理1设A为n×n阶常数矩阵,且它的所有特征根λ_k(k=1,2,…,n)均具有负     

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)。     

非奇异H-矩阵的新判据

1引言与记号设A=(a_(ij))∈C~(n×n),记N={1,2,…,n},∧_i(?)∧_i(A)=sum from j≠i|a_(ij)|,S_i(?)S_i(A)=sum from j≠i|a_(ij)|,(?)i,j∈N。若|a_(ij)>∧_i(A),(?)i∈N,则称A为严格对角占优矩阵。     

常系数非齐线性递推式的解的显式表示

本文给出常系数非齐线性递推式(?)的解的显式表达式 H(m)=sum from i=0 to k-1(sum from j=i to k-1 b_ja_(k-j+i))D_(m-k-i)+sum from i=0 to m-k D_if(m-i)(m≥k)其中D_m=sum x_1+2x_2+…+kx_k=m x_j≥0(i=1,2,…,k)(?)a_1~x1a_2~x2…a_k~xk.     

常系数线性齐次递归式的一般解公式

本文给出常系数线性递归式 a_n=α_1a_(n-1)+α_2a_(n-2)+…+α_pa_(n-p),a_0=c_0,a_1=c_1,…,a_(p-1)=c_(p-1)的一般解公式 a_n=sum from k=0 to p-1(sum from i=k to p-1 c_iα_(p-i+k))F_(n-p-k)(n≥p),其中(?)     

LARGE DEVIATIONS FOR SYMMETRIC DIFFUSION PROCESSES

Let a(x)=(a_(ij)(x)) be a uniformly continuous, symmetric and matrix-valued function satisfying uniformly elliptic condition, p(t, x, y) be the transition density function of the diffusion process associated with the Diriehlet space (, H_0~1 (R~d)), where(u, v)=1/2 integral from n=R~d sum from i=j to d(u(x)/x_i v(x)/x_ja_(ij)(x)dx).Then by using the sharpened Arouson's estimates established by D. W. Stroock, it is shown that2t ln p(t, x, y)=-d~2(x, y).Moreover, it is proved that P_y~6 has large deviation property with rate functionI(ω)=1/2 integral from n=0 to 1<(t), α~(-1)(ω(t)),(t)>dtas s→0 and y→x, where P_y~6 denotes the diffusion measure family associated with the Dirichlet form (ε, H_0~1(R~d)).     

关于重节点多元B样条的构造

1.引言 设x~0,x~1,…,x~n∈R~s是互异的点,n≥s,vol_s[x~0,…,x~n]>0,这里[x~0,…,x~n]={x=sum from j=0 to n(υ_jx~j|(υ_0,…,υ_n)∈S~n),S~n={(υ_0,…,υ_n)|sum from j=0 to n(υ_j=1,υ_j≥0,j=0,…,n}。 以x~i为m_i 1重节点,m_i≥0,i=0,…,n,的多元B样条M(x|(x~0)~(m_0 1),…,(x~n)~(m_n 1))由下式定义(见C.A.Micchelli[1]):     

用〔F,d_n〕平均逼近周期函数

设f(x)∈L_(2π)的Fourier级数为 f(x)～a_0/2+sum from n=1 to ∞ (a_ncosnx+b_nsinnx)sum from n=0 to ∞(A_n(f,x)) (1)以s_n(f,x)sum from i=0 to n(f,x)表示(1)第n部分和。称序列     

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     

Riccati技巧与半线性椭圆型方程的振动性质

对二阶半线性椭圆型方程 sum from i,j=1 to N Di[A_(ij)(x)D_jy]+q(x)f(y)=0其中q(x)在外区域Ω R~N上变号。本文建立了一些新的振动性定理,所得结果推广和改进Kamenev,Philos和Li等人的振动准则。     

向量值H~P空间上的Cesàro算子

设X为一复Banach空间,f:D→X为一个X-值解析函数,f(z)=sum from n≥0(a_nz~n),a_n∈X,设C(f)(z)=sum from n≥0((a_0 a_1 … a_n)/(n 1)z~n)A(f)(z)=sum from n≥0(sum from k=n to ∞(a_k/(k 1))z~n本文证明了对于任意的1≤p<∞以及复Banach空间X,C为从H~p(X)到H~p(X)的有界线性算子;对于任意的1相似文献   

NA阵列加权乘积和的完全收敛性

设{X_(ni):1≤i≤n,n≥1}为行间NA阵列,g(x)是R~+上指数为α的正则变化函数,r>0,m为正整数,{a_(ni):1≤i≤n,n≥1}为满足条件(?)|a_(ni)|=O((g(n))~1)的实数阵列,本文得到了使sum from n=1 to ∞n~(r-1)Pr(|■multiply from j=1 to m a_(nij) X_(nij)|>ε)<∞,■ε>0成立的条件,推广并改进了Stout及王岳宝和苏淳等的结论。     

一类线性约束极大极小问题的算法及其收敛性

设R为n维欧氏空间E~n中的非空多面体,考虑非线性规划问题 (P) (?)f(x), f(x)=sum from j=1 to l (f_j(x)),f_j(x)=■{β_(ij)(x)},其中I_j为有限指标集,β_(ij)(·)是E~n上的连续可微函数,x=(x_1,…,x_n)~T∈E~n,j=1,…,l. 本文先证明了伪方向导数的两个基本性质,并在去掉“β_(ij)(·)为上一致可微”这个条件