污染分布的Edgeworth展开

假定Ｘ１，Ｘ２，…Ｘｎ是来自总体分布为Ｆ（ｘ）＝（１－∈）Ｆ１（ｘ）＋Ｆ２（ｘ）的ｉ，ｉ，ｄ．样本，本文讨论Ｓｎ＝∑Xi的渐近分布展开问题.在Ｆ（ｘ）的４阶矩存在的条件下，给出了精度达到Ｏ（∈4）十ｏ（ｎ－１）的渐近分布，并在最后作了随机模拟．     

相依样本下非参数回归函数递推型核估计的渐近分布

设（Ｘｉ，Ｙｉ）１≤ｉ≤ｎ为来自二元总体（Ｘ，Ｙ）的平稳，φ－混合样本，记ｍ（ｘ）△Ｅ（Ｙ│Ｘ＝ｘ），ｍ（ｘ）的一种递推型核估计为ｍｎ（ｘ）＝ｎ∑ｉ＝１ｈｉ＾－１Ｙｉｋ（（ｘ－Ｘｉ）／ｈｉ）／ｎ∑ｊ＝１ｈ＾－１ｊｋ（ｘ－Ｘｊ）／ｈｊ）。本文在一定的条件下证明了（ｎ／（ｎ∑ｊ＝１ｈ＾－１ｊ）＾１／２）（ｍｎ（ｘ１）－ｍ（ｘ１），ｍｎ（ｘ２）－ｍ（ｘ２），．．．ｍｎ（ｘｒ０）－ｍ（ｘｒ０））′依分布收     

方差估计的随机加权分布的渐近展开—非独立同分布情形

设Ｘ１，．．．，Ｘｎ是一组独立的随机变量序列，设ＥＸｉ＝０，ＶａｒＺｉ＝μ２，ｉ＝１，２，．．．，ｎ，其中μ２是待估参数，当Ｘｉ，ｉ＝１，２，．．．ｎ给定后，分别用Ｄｎ＝ｎ∑ｉ＝１Ｖｉ（Ｘｉ－Ｘ）＾２－１／ｎｎ∑ｉ＝１（Ｘｉ－Ｘ）＾２及Ｕｎ＝ｎ∑ｉ＝１（Ｘｉ－Ｘ）＾２及Ｕｎ＝ｎ∑ｉ＝１Ｖｉ（Ｘｉ－ｎ∑ｉ＝１ＶｉＸｉ）＾２－１／ｎｎ∑ｉ－１（Ｘｉ－Ｘ）＾２两种形式的随机加权分布来逼近Ｔｎ＝１／ｎｎ∑     

数列x_（n＋2）＝x~2_（x＋1）／x_n的周期性

数列ｘ_（ｎ＋２）＝ｘ~2_（ｘ＋１）／ｘ_ｎ的周期性江西赣南师范学院熊曾润设数列｛Ｘｎ｝满足其中．本文探讨这类数列的周期性．引理若数列（Ｘｎ）满足（１）和（２），则它必定满足证明应用数学归纳法．（ｉ）ｎ＝１时，由（１）和（２）可得这表明ｎ＝１时等式（３?..     

相依样本下密度函数及其导函数的相合随机窗宽核估计

设（Ｘｎ）是Ｒ＾１中的平稳，强混合序列，具有公共的密度ｆ（ｘ），则可定义ｆ（ｘ）及其导函数ｆ＾（ｒ）（ｘ）的核估计与最近邻估计ｆ＾（ｒ）ｎ（ｘ）＝（ｎｈ＾ｒ＋１ｎ（ｘ））＾－１ｎ∑ｉ＝１Ｋ＾（ｒ）（Ｘｉ－Ｘ／ｈｎ（ｘ）），ｆｎ（ｘ）＝（ｎａｎ（ｘ））＾－１ｎ∑ｉ＝１Ｋ（Ｘｉ－ｘ／ａｎ（ｘ））其中核函数Ｋ（Ｘ）为取定的概率密度函数，且具有ｒ（ｒ≥０）阶导数，窗宽ｈｎ（ｘ）＝ｈｎ（ｘ；Ｘ１，．．．，Ｘ     

相依样本下条件密度双重核估计的强相合性

设（Ｘ１，Ｙ１），…，（Ｘｎ，Ｙｎ）是从取值于Ｒ＾ｐ×Ｒ＾ｑ的随机向量（Ｘ，Ｙ）中抽取的随机样本，在给定Ｘ＝ｘ的条件下Ｙ具有条件密度ｆ（ｙ│ｘ）。在本文中，我们考虑ｆ（ｙ│ｘ）的通常的和递归形式的双重核估计ｆｎ（ｙ│ｘ）＝ｎ∑ｉ＝１Ｋ１（Ｘｉ－ｘ／ａｎ）Ｋ２（Ｙｉ－６／ｂｎ）／〔ｂｎ＾ｑｎ∑ｊ＝１Ｋ１（Ｘｊ－ｘ／ａｎ）〕ｆｎ（ｙ│ｘ）＝ｎ∑ｉ－１Ｋ１（Ｘｉ－ｘ／ａｉ）Ｋ２（Ｙｉ－ｙ／ｂｉ）／ｎ∑ｊ     

秩为k的有限序列t—相交族

设ｎ，ｓ１，ｓ２，…，ｓｎ为正整数及Ｍ（ｓ１，ｓ２，…，ｓｎ）＝｛（ｘ１，ｘ２，…，ｘｎ）｜０ｘｉｓｉ，且ｘｉ为正整数｝．若ＦＭ（ｓ１，ｓ２，…，ｓｎ）满足：对任何ａ，ｂ∈Ｆ，都至少有ｔ个ｉ使ａｉ∧ｂｉ＝ｍｉｎ（ａｉ，ｂｉ）＞０，则称Ｆ为Ｍ（ｓ１，ｓ２，…，ｓｎ）中的一个ｔ－相交序列族．对ｘ＝（ｘ１，ｘ２，…，ｘｎ）∈Ｍ（ｓ１，ｓ２，…，ｓｎ），称ｒ（ｘ）＝∑ｎｉ＝１ｘｉ为ｘ的秩．本文讨论并得到当ｓ１＝ｓ２＝…＝ｓｎ时Ｍ（ｓ１，ｓ２，…，ｓｎ）中秩为ｋ的有限序列最大相交族，从而获得了由Ｅｎｇｅｌ和Ｆｒａｎｋｌ提出的一个关于有限序列相交族的公开未解问题在ｋｎ＋ｔ－１情形下的解．     

P.Turan问题XXXV的一个注记

本文给出了有关Ｐ．Ｔｕｒａｎ问题ＸＸＸＶ［关于逼过论的某些未解决的问题，Ｊ．Ａｐｐｒｏｘｉｍａｔｉｏｎ Ｔｈｅｏｒｙ，１９８０，２９（１）：２３－８５］的一个结果。设ｒｉｎ（ｘ）为（０，２）插值的第一类基函数，其插值节点为（１－ｘ）Ｐｎ＇（ｘ）之零点而Ｐｎ（ｘ）为ｎ次Ｌｅｇｅｎｄｒｅ多项式。那么ｍａｘ－１≤ｘ≤１∑ｉ＝１ｎ│ｒｉｎ（ｘ）│＝Ｏ（ｎ＾５／２ｌｎｎ）．但对ｆ＾＊＝ｘ＾２却有ｌｉｍ↓ｎ→     

关于学生氏U—统计量的渐近性质

设Ｘ１，Ｘ２，．．．，Ｘｎ（ｎ≥２）为ｉ．ｉ．ｄ随机变量，Ｕｎ为以ｈ（ｘ１，ｘ２）为对称核的Ｕ－统计量，Ｅｈ（Ｘ１，Ｘ２）＝θ，且σｇ＾２＝ＶａｒＥ〔ｈ（Ｘ１，Ｘ２〕－θ│Ｘ１│〉０。设σｇ＊＾＊＾２是σｇ＾２的Ｂｏｏｔｓｔｒａｐ量，施锡铨在关于核ｈ的二阶矩的条件下，证明了：当ｎ→∝时，σｇ＊＾＊＾２→σｇ＾２ａ．ｓ，因此Ｗｎ＝√ｎ（Ｕｎ－θ）／２σｇ＾＊＊依分布收敛于标准正态变量。本文在关于核ｈ     

强相依高斯序列超过数点过程与部分和的联合渐近分布

（Ｘｎ）为标准化平稳高斯序列,ｐｎ＝ＥＸ１Ｘｎ＋１,Ｎｎ为Ｘ１,Ｘ２,…,Ｘｎ对水平ｕｎ＝ｘ／ａｎ＋ｂｎ的超过数形成的点过程,Ｍｎ＾（ｋ）为Ｘ１,Ｘ２,…,Ｘｎ的第ｋ个最大值,Ｓｎ＝（ｎ）∑（ｉ＝１）Ｘｉ,ｐｎｌｏｇｎ→ｒ∈（０,∞）时,得到Ｎｎ与Ｓｎ、Ｍｎ＾（ｋ）与Ｓｎ的联合渐近分布。     

Maximal inequalities for a continuous semimartingale

Let X =( X t ) t S 0 be a continuous semimartingale given by d X t = f ( t ) w ( X t )d d M ¢ t + f ( t ) σ ( X t )d M t , X 0 =0, where M =( M t , F t ) t S 0 is a continuous local martingale starting at zero with quadratic variation d M ¢ and f ( t ) is a positive, bounded continuous function on [0, X ), and w , σ both are continuous on R and σ ( x )>0 if x p 0. Denote X 𝜏 * =sup 0 h t h 𝜏 | X t | and J t = Z 0 t f ( s ) } ( X s )d d M ¢ s ( t S 0) for a nonnegative continuous function } . If w ( x ) h 0 ( x S 0) and K 1 | x | n σ 2 ( x ) h | w ( x )| h K 2 | x | n σ 2 ( x ) ( x ] R , n >0) with two fixed constants K 2 S K 1 >0, then under suitable conditions for } we show that the maximal inequalities c p , n log 1 n +1 (1+ J 𝜏 ) p h Á X 𝜏 * Á p h C p , n log 1 n +1 (1+ J 𝜏 ) p (0< p < n +1) hold for all stopping times 𝜏 .     

在Freud正交多项式零点处的Grünwald插值算子的收敛性

Let Wβ(x)=exp(-1/2|x|β)be the Freud weight and pn(x) ∈пn be the sequence of orthogonal polynomials with respect to W2β(x),that is,∫∞-∞pn(x)pm(x)W2β(x)dx={0,1, n≠m, n=m.It is known that all the zeros of pn(x)are distributed on the whole real line.The present paper investigates the convergence of Gr(u)nwald interpolatory operators based on the zeros of orthogonal polynomials for the Freud weights.We prove that,if we take the zeros of Freud polynomials as the interpolation nodes,then Gn(f,x)→,f(x),n→∞ holds for every x ∈(-∞,∞),where f(x) is any continous function on the real line satisfying |f(x)|=O(exp(1/2|x|β)).     

Banach空间非扩张映像不动点强收敛定理

设E是具弱序列连续对偶映像自反Banach空间, C是E中闭凸集, T:C→ C是具非空不动点集F(T)的非扩张映像.给定u∈ C,对任意初值x0∈ C,实数列{αn}n∞=0,{βn}∞n=0∈ (0,1),满足如下条件:(i)sum from n=α to ∞α_n=∞, α_n→0;(ii)β_n∈[0,α) for some α∈(0,1);(iii)sun for n=α to ∞|α_(n-1) α_n|<∞,sum from n=α|β_(n-1)-β_n|<∞设{x_n}_(n_1)~∞是由下式定义的迭代序列:{y_n=β_nx_n (1-β_n)Tx_n x_(n 1)=α_nu (1-α_n)y_n Then {x_n}_(n=1)~∞则{x_n}_(n=1)~∞强收敛于T的某不动点.     

具有阻尼的半线性波动方程解的衰减估计

研究具有阻尼的半线性波动方程的初边值问题u_(tt)-△u+βu_t=|u|~(p-1)u,x∈Ω,t>0u(x,0)=u_0(x),u_t(x,0)=u_1(x),x∈Ωu|_((?)Ω)=0,t≥0其中γ为正常数,Ω■R~n为有界域,当n≥3时,1相似文献   

On approximation of smooth functions from null spaces of optimal linear differential operators with constant coefficients

For a real valued function f defined on a finite interval I we consider the problem of approximating f from null spaces of differential operators of the form Ln(ψ) = n ∑ k=0 akψ(k), where the constant coefficients ak ∈ R may be adapted to f . We prove that for each f ∈ C(n)(I), there is a selection of coefficients {a1, ,an} and a corresponding linear combination Sn( f ,t) = n ∑ k=1 bkeλkt of functions ψk(t) = eλkt in the nullity of L which satisfies the following Jackson’s type inequality: f (m) Sn(m )( f ,t) ∞≤ |an|2n|Im|1/1q/ep|λ|λn|n|I||nm1 Ln( f ) p, where |λn| = mka x|λk|, 0 ≤ m ≤ n 1, p,q ≥ 1, and 1p + q1 = 1. For the particular operator Mn(f) = f + 1/(2n) f(2n) the rate of approximation by the eigenvalues of Mn for non-periodic analytic functions on intervals of restricted length is established to be exponential. Applications in algorithms and numerical examples are discussed.     

条件经验随机过程的渐近性质

设(Xi,Yi)(i=1,2,…,n)是来自总体(X,Y)的样本(独立同分布),其中X∈R1,Y∈Rq.M(x y)是Y=y时X的条件分布,Mnkn(x y)为M(x y)的第kn个最近邻域的经验分布估计量,讨论条件经验过程Sn(t,x,y)=kn12(Mnkn(x y)-M(x y))的渐近性质,得出在适当条件下,对固定的y,Sn(t,x,y)(x,t为参数)弱收敛于某一G aussian过程S(.).     

二维Landau-Lifshitz静态方程组的渐近性质

在本文中，我们讨论了ｕ∧（－Δｕ＋λ（ｕ，ｎ）ｎ）＝０，｜ｕ｜＝１，ｘ∈Ｂ１和ｕ＝（ｘ１，ｘ２，０）ｘ∈Ｂ１的轴对称解ｕλ的渐近行为，其中Ｂ１是Ｒ２中单位圆，ｕ＝（ｕ１，ｕ２，ｕ３）．我们证明了ｕλｕ∞在Ｈ２Ｂ１＼Ｂε，Ｒ３中．     

Some remarks concerning the individual ergodic theorem of information theory

Let (X,μ, T) be an ergodic dynamic system and let ξ = (C₁, C₂, ...) be a discrete decomposition of X. Conditions are considered for the existence almost everywhere of $$\mathop {\lim }\limits_{n \to \infty } \frac{1}{n}\left| {\log \mu (C_{\xi ^n } (x))} \right|,$$ whereC _ξn(x) is the element of the decomposition ξⁿ = ξ V T ξ V ... < T^n-1ξ containing x. It is proved that the condition H(ξ) < ∞ is close to being necessary. If T is a Markov automorphism and ξ is the decomposition into states, then the limit exists, even if H(ξ) = ∞, and is equal to the entropy of the chain.     

Global W2,p (2<=p

This paper studies the initial-boundary value problem of GBBM equations u_t - Δu_t = div f(u) \qquad\qquad\qquad(a) u(x, 0) = u_0(x)\qquad\qquad\qquad(b) u |∂Ω = 0 \qquad\qquad\qquad(c) in arbitrary dimensions, Ω ⊂ R^n. Suppose that. f(s) ∈ C¹ and |f'(s)| ≤ C (1+|s|^ϒ), 0 ≤ ϒ ≤ \frac{2}{n-2} if n ≥ 3, 0 ≤ ϒ < ∞ if n = 2, u_0 (x) ∈ W^{2⋅p}(Ω) ∩ W^{1⋅p}_0(Ω) (2 ≤ p < ∞), then ∀T > 0 there exists a unique global W^{2⋅p} solution u ∈ W^{1,∞}(0, T; W{2⋅p}(Ω)∩ W^{1⋅p}_0(Ω)), so the known results are generalized and improved essentially.     

Global W2,p Solutions of GBBM Equations on Unbounded Domain

In this paper we study the initial boundary value problem of GBBM equations on unbounded domain u_t - Δu_t = div f(u) u(x,0) = u_0(x) u|_{∂Ω} = 0 and corresponding Cauchy problem. Under the conditions: f( s) ∈ C^sup1 and satisfies (H)\qquad |f'(s)| ≤ C|s|^ϒ, 0 ≤ ϒ ≤ \frac{2}{n-2} if n ≥ 3; 0 ≤ ϒ < ∞ if n = 2 u_0(x) ∈ W^{2,p}(Ω) ∩ W^{2,2}(Ω) ∩ W^{1,p}_0(Ω)(W^{2,p}(R^n) ∩ W^{2,2}(R^n) for Cauchy problem), 2 ≤ p < ∞, we obtain the existence and uniqueness of global solution u(x, t) ∈ W^{1,∞}(0, T; W^{2,p}(Ω) ∩ W^{2,2}(Ω) ∩ W^{1,p}_0(Ω))(W^{1,∞}(0, T; W^{2,p}(R^n) ∩ W^{2,2} (R^n)) for Cauchy problem), so the results of [1] and [2] are generalized and improved in essential.