Weierstrass型函数图象的分形维数

考虑函数f(x)=sum from i=1 to ∞(?)~(-1)φ((?) θ_n)和w(x)=sum from n=1 to ∞(?)φ_(?)((?)x θ_(?)),式中0<α<(?)是任意实数,在一定条件下,估计了函数f图象的Hausdorff维数的下界,并求得了w函数图象的Box维数和Packing维数。     

复旦大学1984年硕士研究生入学考试试题

1.设x_0,x_1,…,x_n,x是n+2个相异点,证明 f(x_0,x_1,…,x_n,x)=sum from i=0 to n(f(x_j,x)/(multiply from (?) to n(x_j-x_1))) 其中f(xj,x)和f(x_o,x_1,…,x_n,x)分别表示函数f(x)的一阶和n+1阶差商。 2.设n阶线性方程组Ax=b中n×n矩阵A的顺序主子式det(A1)≠0(i=1,…n),令(n+1)×(n+1)矩阵B为     

高维数值积分的数论方法

命x=(x_1,…,x_s)表示任意s维矢量及(x,y)=sum from i=1 to s x_iy_i表示矢量积。命||x||=x_1…x_s,此处x=max(1,|x|)。又命E_s~α(c)表示函数类     

拟线性方程组的时滞问题

§1.引理和定理1.在动力气象学中常用到可压缩流体力学的一组闭合方程组:(?)u_j/(?)t sum from i=1 to 3 u_i(?)u_j/(?)x_i α (?)P/(?)x_j ξ_(2j)fu_1 ξ_(3j)fu_2=f_j(t,x),j=1,2,3,(1.1)(?)_α/(?)t sum from i=1 to 3 u_i(?)α/(?)x_i=αsum from i=1 to 3 (?)u_i/(?)x_i,(1.2)Pα=RT,(1.3)C_P{(?)T/(?)t sum from i=1 to 3 u_i(?)T/(?)x_i}-α{(?)P/(?)t sum from i=1 to 3 u_i (?)P/(?)x_i}=0 (1.4)其中(?)x=(x_1,x_2,x_3),u_1,u_2,u_3,是风速的分量,α是比容,P 是压力,T 是绝对温度,柯氏参数 f=f(x_1,x_2)都是已知函数.R,C_p 为正常数.由于α(?)0,从(1.2)-(1.4)式消去 T,记     

甩瓦累-布然平均逼近连续函数

<正> §1.总说§1.1 设 f(x)∈C_(2π),f(x)～a_0/2+sum form n=1 to ∞ a_ncosnx+b_nsin nx≡sum form n=0 to ∞ A_n(x)记 S_n(f,x)=sum form v=0 to n A_v(x).称σ_(n,p)(f,x)=1/p+1 sum form v=n-p to n S_v(f,x)为 f(x)的瓦累-布然平均.记△_u~kf(x)=sum form v=0 to k (-1)~v(?)f[x+(k-2v)u].称函数ω_k(f,t)=(?)|△~u_kf(x)|为 f(x)的 k 阶连续模.简记ω(f,t)=ω_1(f,t).假如 f(x)的共轭函数     

Maximum likelihood character of distributions

In this paper,some distributions in the family of those with invariance under orthogonaltransformations within an s-dimensional linear subspace are characterized by maximun likelihoodcriteria.Specially,the main result is:suppose P_v is a projection matrix of a given s-dimensionalsubspace V,and x_1,…,x_n are i.i.d.samples drawn from a population with a pdf f(x′P_vx),wheref(·) is a positive and continuously differentiable function.Then P_v(M_n) is the maximum likelihoodestimator of P_v ifff(x)=c_kexp(kx) (k>0),where M_n=sum from i=1 to n x_ix′_i,P_v(M_n)=sum from i=1 to (?) (?)_i(?)′_t,λ_1,…,λ_(?) are the first s largest eigenvalues of matrix M_n,and(?)_1,…,(?)_(?) are their associated eigenvectors.     

退缩椭圆型方程的边值问题

<正> 在 R~n 的有界凸区域Ω上考虑椭圆型方程Lu≡sum from i,j=1 to n (a_(ij)(x)u_(xi)_(xj)+sum from i=1 to n b_i(x)u_i+c(x)u=f(x),(1)设对 x∈(?)及所有的实数组(ξ_1,ξ_2,…,ξ_n)sum from i,j=1 to n a_(ij)(x)ξ_iξ_j≥λ(x)sum from i=1 to n ξ_i~2≥0,a_(ji)(x)∈C(?),即算子 L(u)可能退缩而为退缩椭圆型算子。记(?)的边界为∑,∑上满足 sum from ij=1 to n a_(ij)n_in_j=0的点集为∑_0,(n_1,…,n_n)表示∑上的内单位法向量,∑_3=∑\∑_0,设其 n-1维测度非零,则对方程(1)可提如下的边值问题:     

On the Mean Square Value Formula of Lerch zeta-function

For complex number s =σ + it and real number 0<α,x<1, let φ(x,α,s) be Lerchzeta-function defined by φ(x,α,s)=sum from n=0 to ∞ (e~(2πinx))/(n+α)~s for Re(S)>1and its analytic continuation, and let of φ_1(x,α,s) =α(x,α,s) -α~(-s). The main purposeof this paper is to study the asymptotic properties of the mean square value     

SOME GENERALIZATION OF GRONWALL-BIHARI INTEGRAL INEQUALITIES AND THEIR APPLICATIONS

The interest of this paper lies in the estimates of solutions of the three kinds of Gronwail-Bihari integral inequalities:(Ⅰ) y(x)≤f(x) sum from i=1 to n(g_i(x)integral from n=0 to x(h_i(d)y(s)ds)),(Ⅱ) y(x)≤f(x) g(x)φ(integral from n=0 to x(h(s)w(y(s))ds))(Ⅲ) y(x)≤f(x) sum from i=1 to n(g_i(x)integral from n=0 to a(h_i(s)y(s)ds g_(n 1)φ(integral from n=0 to x(h_(n 1)(s)w(y(t))ds)).The results include some modifications and generalizations of the results of D. Willett, U. D. Dhongade and Zhang Binggen. Furthermore, applying the conclusion on the above inequalities to a Volterra integral equation and a differential equation, the authors obtain some new better results.     

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。     

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     

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     

Kantorovitch算子的L^＊M逼近

1.符号与基本结果对对[0,1]上的可积函数f(x),Kantorovitch算子定义为: K_n(f,x)=(n+1)sum from k=0 to n(p_(n-K)(x)integral from ?(f(t)dt)其中p_(n-K)(x)=(n K)x~K(1-x)~(n-K),I_K=[K/(n+1),(K+1)/(n+1)]。记M(u)是N-函数,N(v)是其young意义下的余函数,用M(u)∈△_2表示,存在正数c,u_0满足     

DIFFERENTIAL OPERATORS OF INFINITE ORDER IN THE SPACE OF RAPIDLY DECREASING SEQUENCES

We consider the space of rapidly decreasing sequences s and the derivative operator D defined on it.The object of this article is to study the equivalence of a differential operator of infinite order;that is φ(D) =sum from k=0 to ∞φ_κD~κ.φ_κ constant numbers an a power of D.D~n,meaning,is there a isomorphism X(from s onto s) such that X_φ(D) = D~nX?.We prove that if φ(D) is equivalent to D~n,then φ(D) is of finite order,in fact a polynomial of degree n.The question of the equivalence of two differential operators of finite order in the space s is addressed too and solved completely when n=1.     

关于Bernstein多项式在无穷区间上的推广

<正> 设 f(x) 是定义在 [0,+∞) 上的函数.O.Szasz 研究了 Bernstein 多项式在无穷区间上的推广形式B_n(f;x)=e~(-nx)sum from k=0 to ∞f(k/n)(nx)~k/k!.在一定条件下,对 f(x) 在[0,+∞)上的任一连续点 x_0,有(?)B_n(f;x_0)=f(x_0).O.Szasz 还研究了当 n 充分大时,B_n(f;x) 和 f(x) 的误差.J.Grof 进一步改善了后一结果.后来,吴华英引进 Bernstein 多项式推广到无穷区间上的另一形式     

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     

非负定函数正则的充要条件

§0.引言为了下面解释的方便起见,我们首先给出如下几个定义:定义1 称一个连续实变复值函数φ(t)为一个非负定函数,如果对任何 n≥1,实数t_1,…,t_n 及复数λ_1,…,λ_n,有 sum from i,k=1 to n λ_iλ_kφ(t_i-t_k)≥0.而当φ(0)=1时,此φ(t)被称为标准非负定函数(实际上就是概率论中的特征函数).定义2 称非负定函数φ(t)是正则的,如果存在 f(x)∈L~1(-∞,∞),使φ(t)为f(x)的 L~1-Fourier 变换.而称产 f(x)为φ(t)的密度函数.定义3 设 g(t)是 L~1(-∞,+∞)中某函数的 L~1-Fourier 变换,若     

On the Best Degree of Approximation by Euler (E,q)-Means

Let f(x)∈L_(2π) and its Fourier series by f(x)～α_0/2+sum from n=1 to ∞(α_ncosnx+b_nsinx)≡sum from n=0 to ∞(A_n(x)). Denote by S_n (f,x) its partial sums and by E_n~q(f,x) its Euler (E, q)-means, i. e. E_n~q(f,x)=1/(1+q)~π sum from m=0 to n((?)q~(n-m)S_m(f,x)), with q≥0 (E_n~0≡S_n). In [1] Holland and Sahney proved the following theorem. THEOREM A Ifω(f,t) is the modulus of continuity of f∈C_(2π), then the degree of approximation of f by the (E,q)-means of f is givens by##特殊公式未编改     

北京师范大学1983年攻读硕士学位研究生入学考试试题

<正> 一、P_0(x_0,y_0)是右半平面(x>0)内任意一点,试证方程组(?)能在 P_(?)的(充分小的)邻域内确定连续可微的反函数.二、设 f(x)在(0,1)内有定义,且函数 e~xf(x)与 e~(-f(x))在(0,1)内都是单调不减的.试证:f(x)在(0,1)内连续.三、若每个函数 u_n(x)(n=1,2,…)都在[a,b]连续,(?)u_n(x)在(a,b)一致收敛.求证:sum from n=1 to ∞ u_n(x)在[a,b]一致连续.     

APPROXIMATION OF CONTINUOUS FUNCTIONS BY THE GENERALIZED BERNSTEIN-BEZIER POLYNOMIALS

§1. Introduction In [1], for any α>0, and a function φ defined on [0,1], Geng-Zhe Change defined the generalized Bernstein-Bezier polynomial ofφ as follows: B_(n, a)(φ, x) = sum from k=0 to n φ(k/n){f_(nk)~a(x)-f_(n,k+1)~a,(x)} (1.1)where f_(n, n+1) (x) =0 and f_(n, k)(x) = sum from j=k to n x~j(1-x)~(n-j) k=0,1,...,n. (1.2)are the Bezier base functions of degree n.Obviously, for any x ∈(0, 1), we have