用周期性求抽象函数值的方法

用周期性求抽象函数值的关键是构造周期函数，即建立等式f（x＋T）=f（x）（T≠0），根据条件构建等式常用到一些技巧，现举例说明．     

一种构造辅助函数法的应用

利用一个基本事实,即令F（x）＝ f （x）eg（x）,则F′（x）＝ eg（x）[ f′（x）＋ f （x）g′（x）],结合具体的实例,说明在一类涉及导数的数学问题中此种构造辅助函数法的应用。     

对称的高逼近阶多小波的构造

本文基于已有的对称多小波,给出构造对称的高逼近阶多小波的一个显式算法．具体地,假设Φ（x）：=（φ1（x）…．,φr（x））T是一个具有逼近阶m的对称加细函数向量．对于任意非负整数n,一个具有逼近阶m＋n的新对称加细函数向量Φ^new（x）：=（φ1^new（x）…．,φr^new（x））^T可由上述算法构造出来．另外,揭示了Φ（x）与Φ^new（x）之间的关系．为了使我们的结果具体化,从具有逼近阶4的三次Hermite函数出发,构造了一个具有逼近阶6的对称加细函数向量．     

函数性质中的一对姊妹花——对称性和周期性

我们知道，奇、偶函数具有如下重要性质：“函数f（x）的图象关于原点（0，0）对称”的充要条件是“对于f（x）的定义域内的任意一个x，都有f（x）＋f（-x）=0成立”；“函数f（x）的图象关于直线x=0（即y轴）对称”的充要条件是“对于f（x）的定义域内的任意一个x，都有f（x）-f（-x）=0成立”．函数的奇偶性是函数对称性的最基本、最特殊的体现，现将其推广．     

关于复合函数的一个错误命题

文[1]称：若已知f[g（x）]的定义域为A,则f（x）的定义域就是函数g（x）（x∈A）的值域.错误!例1设函数f（x）=2x,函数g（x）=x2,则复合函数f[g（x）]=2x2.显然,复合函数f[g（x）]的定义域是R,函数g（x）（x∈R）的值域[0,＋∞）,但函数f（x）的定义域是R,而不是函数g（x）（x∈...     

y=f（a＋x）的特征确定y=f（x）的哪些性质？

函数y=f（a＋x）（a≠0，以下不特别说明都有这样的要求）是由函数y=f（x）经过简单的函数复合得来。它们之间从性质到图象都有着密不可分的关系．试题常以告诉y=f（a＋x）的性质。研究y=f（x）以及y=f（x）的其它复合函数的性质的形式命制．那么y=f（a＋x）的特征决定了y=f（x）的哪些性质？对这个问题的回答是解决这类问题的关键所在．     

n次迭代还原函数的一个构造定理

定义1 记函数f（x）=f^{1}（x），f（f（x））=f^{2}（x），…，f（f（…f（x）…））=f^{n}（x），f^{n}（x）为f（x）的n次迭代．     

再探函数f（a＋x）与f（a-x）的图像性质

文[1]研究了两种不同情况：一种是函数f（a＋x）与函数f（a-x）的图像关于直线对称的问题;另一种是函数f（x）对一切x∈R满足f（a＋x）=f（a-x）都成立,函数f（x）图像关于直线对称的问题．     

一道习题的互动教学及反思

已知函数f（x）的定义域为（0，＋∞），且对于任意的正实数x、y都有f（xy）=f（x）＋f（y），又当x〉1时，     

平移后奇（偶）函数的性质的应用

有一类函数f（x）是非奇非偶函数,但平移后的函数f（x＋p）（或f（x）＋b）是奇（偶）函数,利用奇（偶）函数的性质处理函数f（x＋φ）（或f（x）＋b）的有关问题,再去解决原函数f（x）的问题,往往会有出奇制胜的功效．     

Two-dimension periodic cardinal interpolatory wavelets

In this paper, we construct two-dimension periodic interpolatory scaling function and wavelets from a periodic function g(x₁, x₂), whose Fourier coefficients are positive, and obtain some properties of scaling functions and wavelets.     

Two-dimension periodic cardinal interpolatory wavelets

In this paper, we construct two-dimension periodic interpolatory scaling function and wavelets from a periodic function g(x₁, x₂), whose Fourier coefficients are positive, and obtain some properties of scaling functions and wavelets.     

周期多尺度分析的特征及它的一个应用

在这篇文章里，我们研究了周期多尺度分析的性质，给出了尺度函数序列的一个特征．这个特征能够使我们从一个尺度函数序列得到另一个尺度函数序列．最后，我们给出了主要结果的一个应用．     

Characterization of periodic multiresolution analysis and an application

In this paper, we study the properties of periodic multiresolution analysis, and present a complete characterization of the scaling function sequence, which enables us to construct a new scaling function sequence from a given one. An application of the main results is given at the end.     

Uncertainty products of local periodic wavelets

This paper is on the angle–frequency localization of periodic scaling functions and wavelets. It is shown that the uncertainty products of uniformly local, uniformly regular and uniformly stable scaling functions and wavelets are uniformly bounded from above by a constant. Results for the construction of such scaling functions and wavelets are also obtained. As an illustration, scaling functions and wavelets associated with a family of generalized periodic splines are studied. This family is generated by periodic weighted convolutions, and it includes the well‐known periodic B‐splines and trigonometric B‐splines. This revised version was published online in June 2006 with corrections to the Cover Date.     

Correlation Function of the Two-Dimensional Ising Model on a Finite Lattice: II

We calculate the pair correlation function and the magnetic susceptibility in the anisotropic Ising model on the lattice with one infinite and one finite dimension with periodic boundary conditions imposed along the second dimension. Using the exact expressions for lattice form factors, we propose formulas for arbitrary spin matrix elements, thus providing a possibility to calculate all multipoint correlation functions in the anisotropic Ising model on cylindrical and toroidal lattices. We analyze passing to the scaling limit.     

Bernstein Fractal Trigonometric Approximation

Fractal interpolation and approximation received a lot of attention in the last thirty years. The main aim of the current article is to study a fractal trigonometric approximants which converge to the given continuous function even if the magnitude of the scaling factors does not approach zero. In this paper, we first introduce a new class of fractal approximants, namely, Bernstein \(\alpha \)-fractal functions using the theory of fractal approximation and Bernstein polynomial. Using the proposed class of fractal approximants and imposing no condition on corresponding scaling factors, we establish that the set of Bernstein \(\alpha \)-fractal trigonometric functions is fundamental in the space of continuous periodic functions. Fractal version of Gauss formula of trigonometric interpolation is obtained by means of Bernstein trigonometric fractal polynomials. We study the Bernstein fractal Fourier series of a continuous periodic function \(f\) defined on \([-l,l]\). The Bernstein fractal Fourier series converges to \(f\) even if the magnitude of the scaling factors does not approach zero. Existence of the \(\mathcal{C}^{r}\)-Bernstein fractal functions is investigated, and Bernstein cubic spline fractal interpolation functions are proposed based on the theory of \(\mathcal{C}^{r}\)-Bernstein fractal functions.

     

Water waves over a rough bottom in the shallow water regime

This is a study of the Euler equations for free surface water waves in the case of varying bathymetry, considering the problem in the shallow water scaling regime. In the case of rapidly varying periodic bottom boundaries this is a problem of homogenization theory. In this setting we derive a new model system of equations, consisting of the classical shallow water equations coupled with nonlocal evolution equations for a periodic corrector term. We also exhibit a new resonance phenomenon between surface waves and a periodic bottom. This resonance, which gives rise to secular growth of surface wave patterns, can be viewed as a nonlinear generalization of the classical Bragg resonance. We justify the derivation of our model with a rigorous mathematical analysis of the scaling limit and the resulting error terms. The principal issue is that the shallow water limit and the homogenization process must be performed simultaneously. Our model equations and the error analysis are valid for both the two- and the three-dimensional physical problems.     

Wavelet Approximation of Periodic Functions

We investigate expansions of periodic functions with respect to wavelet bases. Direct and inverse theorems for wavelet approximation in C and L_p norms are proved. For the functions possessing local regularity we study the rate of pointwise convergence of wavelet Fourier series. We also define and investigate the “discreet wavelet Fourier transform” (DWFT) for periodic wavelets generated by a compactly supported scaling function. The DWFT has one important advantage for numerical problems compared with the corresponding wavelet Fourier coefficients: while fast computational algorithms for wavelet Fourier coefficients are recursive, DWFTs can be computed by explicit formulas without any recursion and the computation is fast enough.     

The spectrum sequences of periodic frame multiresolution analysis

The periodic multiresolution analysis （PMRA） and the periodic frame multiresolution analysis （PFMRA） provide a general recipe for the construction of periodic wavelets and periodic wavelet frames, respectively. This paper addresses PFMRAs by the introduction of the notion of spectrum sequence. In terms of spectrum sequences, the scaling function sequences generating a normalized PFMRA are characterized; a characterization of the spectrum sequences of PFMRAs is obtained, which provides a method to construct PFMRAs since its proof is constructive; a necessary and sufficient condition for a PFMRA to admit a single wavelet frame sequence is obtained; a necessary and sufficient condition for a PFMRA to be contained in a given PMRA is also obtained. What is more, it is proved that an arbitrary PFMRA must be contained in some PMRA. In the meanwhile, some examples are provided to illustrate the general theory.