三次样条用端点值估计时的几个准确常数

设Δ_n(n=1,2,…)是把[a,b]分成n段的各种分划的全体,也即 Δ_n{(x_0,x_1,…,x_n):a=x_0相似文献   

二次样条插值的收敛性

1.设Δ_n:0=x_00(j=1,2…,n)及对某个dμ>0的条件下证明了在S(Δ_n)中存在唯一的s(x)满足     

三次样条插值的收敛性

设f(x)∈C_[a,b],△_n是区间[a,b]的分划 △_n:a=x_0相似文献   

Hermite样条对可微函数类逼近的准确估值

1.设m为任意非负整数.以C~m表示[0,1]上具有m次连续导数的全体函数组成的集(C~0=C). 设n为正整数.以Δn表示区间[0,1]的n节分割 0=x_(0,n)相似文献   

Q((-11)~(1/2))上正定Hermite型的分类(英文)

设 R 为虚二次域 Q(-11)~(1/2)的代数整数环,C_(n,Δ_n) 为秩 n 而判别式=Δ_n 的 R上正定 Hermite 型的类数。作者应用 Hermite 约简理论确定了类数 C_(2,3)=C_(2,4)=C_(2,5)=2;C_(3,2)=C_(3,3)=3;C_(4,1)=5并给出了每一类的代表型。     

四阶双曲样条插值的最优误差界

我们称 s(x)∈S_T(Δ_n)为四阶双曲样条。由(2)可知,当α=β=0时,它就是三次多项式样条,而当α>β=0时,它曾由〔1〕讨论,并称之为张力样条。现考虑如下插值问题。设 f∈C~2〔0,1〕,求 s_f(x)∈S_(?)(Δ_n)使得。     

C*-代数交叉积上的渐近同态(英文)

林华新和松井宏树提出了可分C~*-代数上的渐近同态的概念,以及Cantor极小系统上弱逼近共轭的概念.设A为Ko群有限生成的AF代数,α,β为A上的具有Rokhlin性质的*-自同构.则α和β弱逼近共轭的充要条件是,存在两列渐近同态{φ_n}:A_α→A_β和{ψ_n}:A_β→A_α,以及两列*-自同构{Φ_n},{Ψ_n}:A→A,满足对任意的a∈A,均有lim_(n→∞)‖φ_noj_α(a)-jβoΦ_n(a)‖=0和lim_(n→∞)‖ψ_nojβ(a)-jα·Ψ_n(a)‖=0.     

函数域的K_2群的挠元

设F是域,令G_n(F)={{a,φ_n(a)}∈K_2(F)| a,Φ_n(a)∈F~*},这里Φ_n(x)是n次分圆多项式.使用函数域的ABC定理证明了若F是常数域为k函数域,l≠ch(k)是素数,则对n≥3且l>2或n>3且l=2,G_(ln)(F)不是K_2(F)的子群.由此部分地证实了Browkin的猜想.     

Asymptotic uniformity of the quantization error for the Ahlfors-David probability measures

Let μ be an Ahlfors-David probability measure on R~q;therefore,there exist some constants s_0 0 and ε_0,C_1,C_2 0 such that C_1ε~(s_0)≤μ(B(x,ε))≤C_2ε~(s_0) for all ε∈(0,ε_0) and x ∈ supp(μ).For n≥ 1,let α_n be an n-optimal set for μ of order r;furthermore,let {P_a(α_n)}_(a∈α_n) be an arbitrary Voronoi partition with respect to α_n.The n-th quantization error e_(n,r)(μ) for μ of order r can be defined as e_(n,r)~r(μ):=∫ d(x,α_n)~r dμ(x).We define I_a(α_n,μ):=∫_(P_a(α_n)) d(x,α_n)~r dμ(x),a ∈α_n,and prove that,the three quantities ■ are of the same order as that of 1/ne_(n,r)~r(μ).Thus,our result exhibits that,a weak version of Gersho's conjecture holds true for the Ahlfors-David probability measures on R~q.     

基于截尾数据概率密度核估计的一些渐近行为

Blum和Snsarla(1980)提出了一基于截尾数据非负随机变量概率密度f(t)的核估计(?)_n(t),本文证明了(?)_n(t)的一致强相合性。此外,我们还进一步研究了(?)_n(t)的一致强收敛速度问题,给出了(?)_n(t)的一渐近表达式,并利用所给的表达式证明了(?)_n(t)以速度为O(n~(-2a))均方收敛到(?)_n(t),其中0相似文献   

关于三角形内接正方形的一点注记

1　 引言文 [1 ]指出 :m( x) =m( 2Δx) ,是解决问题的难点 ,有无更初等或纯几何的方法是值得进一步研究的问题 .2　 纯几何的证法ma =2 a .Δa2 + 2Δ,　 mb=2 b .Δb2 + 2Δ,mc=2 c.Δc2 + 2Δ,ma - mb=2Δ [ab2 + 2 aΔ - a2 b - 2 bΔ]( a2 + 2Δ) ( b2 + 2Δ)=2Δ[ab( b - a) + 2Δ( a - b) ]( a2 + 2Δ ) ( b2 + 2Δ )=2Δ( b - a) ( ab - 2Δ)( a2 + 2Δ ) ( b2 + 2Δ) .∵　 ab≥ absin C =2Δ,∴　 ab - 2Δ≥ 0 .易知 a >b时 ,ma ≤ mb,若∠ C≠ 90°时 ,ma 相似文献   

关于域的K_2群的挠

设F是域,记G_n(F)={{a,Φ_n(a))∈K_2(F)|a,Φ_n(a)∈F_~*},这里Φ_n(x)是n次分圆多项式.首先,使用关于数域上的Mordell猜想的Faltings定理证明了若F是数域,n≠1,4,8,12且含有平方因子,则G_n(F)不是K_2(F)的子群;然后,使用Manin,Grauert,Samuel和李克正关于函数域上的Mordell猜想的结果,对代数闭域上的函数域证明了类似的结果.     

离散时间观测下的α-赋权分数桥的参数估计（英文）

本文研究了赋权分数桥dX_t=-α(X_t/T-t)dt+dB_t~(a,b),0≤tT,中未知参数α0的参数估计问题.其中B~(a,b)是参数为a-1.|b|1,|b|≤a+1的赋权分数布朗运动.似设对随机过程X_t进行离散观测t_i=i△_n,i=0,…,n,且T_n=n△_n.本文构造了α的最小二乘估计α_n.证明了当n→∞时,α_n依概率收敛到α.     

无RNP性Banach格中鞅型序列的收敛性

本文证明了(1)设E是序连续Banach格,(x_n,(?)_n)_(n>l)是满足条件(C)的subpramart,若存在a.e.强收敛的强可测函数列(y_n)_(n≥1),使有 0≤x_n≤y_n,(?)_n≥1,则(x_n)_(n≥1~(a.e.))强收敛.且每一个 E~+值反向subpramart a.e.强收敛。(2)设E是AL空间,若(x_n,(?)_n)_(n≥1)是E~+值superpramart,则TLx_na.e.存在。     

T-UNIFORM AMARTS AND ALMOST SURE CONVERGENCE IN BANACH SPACE

§1. Introduction Let ((Ω, (?), p) be a probability space, E be a separable Banach space with norm ||·||, and let (X_n, (?)_n)_(n≥1) be an E-valued adapted sequence, i.e., ((?)_n)_(n≥1) is a family of increasing sub-σ-algebras of (?) and X_n is a strongly (?)_n-measurable E-valued random variable (n≥1).     

UNIFORM STRONG CONVERGENCE RATE OF NEAREST NEIGHBOR DENSITY ESTIMATION

Based on [3] and [4],the authors study strong convergence rate of the k_n-NNdensity estimate f_n(x)of the population density f(x),proposed in [1].f(x)>0 and fsatisfies λ-condition at x(0<λ≤2),then for properly chosen k_nlim sup(n/(logn)~(λ/(1 2λ))丨_n(x)-f(x)丨C a.s.If f satisfies λ-condition,then for propeoly chosen k_nlim sup(n/(logn)~(λ/(1 3λ)丨_n(x)-f(x)丨C a.s.,where C is a constant.An order to which the convergence rate of 丨_n(x)-f(x)丨andsup 丨_n(x)-f(x)丨 cannot reach is also proposed.     

Characterizations of Best L_p(1≤p≤+ ∞) Approximation With Restricted Ranges of Derivatives

Let [a,b] be a compact set containing at least n + 1 points. If Φ_n = span(φ_1, φ_2,…, φ_n) is an n-dimensional subspace of L,[a, b] m φ_1~(s), φ_2~(s)…, φ_n~(s)exist (s≥0is an integer) and have a maximal linearly independent subset which is an extendedChebyshev system of order rs on [a,b], then write     

ON THE PROBLEM OF BEST CONVERGENCE RATES OF DENSITY ESTIMATES

Let X_1,…,X_n be iid samples drawn from an m-dimensional population with a probabilitydensity f,belonging to the family C_(ka),i.e.the family of all densities whose partialderivatives of order k are bounded by a.It is desired to estimate the value of f at somepredetermined point a,for example a=0.Farrell obtained some results concerning the bestpossible convergence rates for all estimator sequence,from which it follows,for example,thatthere exists no estimator sequence{γ_n(0)=γ_n(X_1,…,X_n,0)}such that(?)E_f[γ_n(0)-f(0)]~2=o(n~(-2k/(2k m))).This article pursues this problem further and proves that there existsno estimator sequence{γ_n(0)}such thatn~(-k/(2k m))(γ_n(0)-f(0))(?)0,for each f∈C_(ka),where(?)denotes convergence in probability.     

A FAMILY OF BERNSTEIN QUASI-INTERPOLANTS ON[0,1]

Suppose that we want to approximate fC[0,1]by polynomials in P_n,using only itsvalues on X_n={i/n,0≤i≤n}.This can be done by the Lagrange interpolant L_n f or theclassical Bernstein polynomial B_n f.But,when n tends to infinity,L_n f does not converge to fin general and the convergence of B_n f to fis very slow.We define a family of operators B~(k)_n,n≥k,which are intermediate ones between B(0)_n=B~(1)_n=B_n and B~(n)_n=L_n,and we studysome of their properties.In particular,we prove a Voronovskaja-type theorem which assertsthat B~(k)_n f-f=0(n~(-[(k+2)/2))for f sufficiently regular.Moreover,B(k)_n f uses only values of B_n f and its derivaties and can be computed by DeCasteljau or subdivision algorithms.     

Mil的另一收敛定理及某些鞅型序列的稳定性

本文证明了(1)设(X_n,■_n)为M.Talagrand意义下的mil且满足条件C~ :τ∈T,其中T为(■_n)停时全体构成的集合,则(X_n)a.s.收敛.(2)设(X_n,■_n)为渐近一致可积的适应序列,则(X_n)a.s.收敛与(X_n)为mil等价.(3)L~1极限鞅,GFT(game fairer with time)及M.Talagrand意义下的mil在函数f:R→R满足条件:①连续②当|x|→∞,f(x)=O(x)时具有稳定性.