基本不等式求最值教学浅见

高中教材中的基本不等式是指定理1若a∈R，b∈R，则a2＋b2R≥2ab．推论若a∈R ，b∈R ，则定理2若a∈R ，b∈R ，c∈R ，则a3＋b3＋c3≥3abc．推论若a∈R ，b∈R ，c∈R ，则／十b＋／＿3厂了一Jte；／HbF利用这四个不等式求最值的问题，教材中仅一道例题和五道习题，而高考试题中涉及到运用基本不等式求最值的问题较多，这些题虽源于课本却高于课本．所以课堂教学中对这部分内容的教学应适当加深，但这并不是增加一些新的不等式，而是要对这四个不等式的应用方法和技巧作些系统介绍，以便学生形成有效的认知结构，遇到新问题时有法可…     

用初等方法解决一个猜想

文[1]末的猜想1为：若a^n b^n=2，n，b∈R，n∈N，n≥2，则a b≤2，ab≤1．最近，文[2]用导数证明了此猜想成立，并给出了a b及ab的下界，得到命题若a^n b^n=2，a，b∈R，n∈N，n≥2．     

形式三角矩阵环的Quasi-morphic性(英文)

环R称为左Quasi-morphic环,是指对任意a∈R都存在b,c∈R使得Ra=l(b)并且l(a)=Rc。文章主要证明了:BMA的形式三角矩阵环T={(ma 0b):a∈A,b∈B,m∈M}是Quasi-morphic当且仅当A,B是Quasi-morphic并且M=0。这个结果引导我们研究了Quasi-morphic环的corner环的Quasi-morphic性。     

“夹逼”思想在三角解题中的应用示例

“夹逼”原理：若α≤b，同时α≥b，那么α=b（α，b∈R）．     

凑配均值不等式常用的变形技巧

（a1，a2，…，an是正数，n∈且≥2）解证有关不等式问题，常常无法直接解决，而是先将解证的不等式进行适当的变形，凑出均值不等式的条件，再用均值不等式解决．这时，恰当的变形便成为解题的关键．下面介绍七种常用的变形技巧．1补项例1已知X＞-1，且x≠0，n∈N，求证：（1＋x）n＞1＋nx．证明例2设x1，x2，…，xn。都是正数，证明：2拆项例3已知a、b∈R ，且a≠b，求证：证明a5＋b5例5已知a、b、c∈R ，且a＋b＋c＝1，求证：证明例8已知a＋b＋c—1，＄证：rt‘＋b‘＋C‘MM．证明”．”1一（a＋b＋c）‘一a‘＋b’＋c’＋Zab＋Zbc＋…     

一个不等式及应用

1．一个不等式 定理1设m、n∈N＊，a、b∈R，则当m、n奇偶性相同，或m、n一奇一偶并a＋b〉0时，总有     

试题研讨(19)

试题(2003届全国100所名校高考模拟试题)已知f(x)=ax2 bx c，其中a∈N ，b、c∈Z. (1)当b＞2a时，在[-1，1]上是否存在x，使得|f(x)|＞b成立?     

求解不可微箱约束变分不等式的下降算法

1 引 论 设X(?)Rn是非空闭集,F:Rn→Rn连续映射,变分不等式问题VI(X,F)是指:求x∈X,使 F(x)T(y-x)≥0,　 (?)y∈X,(1)记指标集N=(1,2,…,n},当 X=[a,b]≡{x∈Rn|a≤xi≤bi,i∈N},(2)其中a={a1,a2,…,an}T,b={b1,b2,…,bn}T∈Rn时,VI(X,F)化为箱约束变分不等式VI(a,b,F).若ai=0,bi=+∞,i∈N,即X=R+n≡{x∈Rn|x≥0}时,VI(a,b,F)化为非线性     

最佳共正逼近算子的连续点的特征

一、引言 设M是线性赋范空间C[a,b]的n维哈尔子空间.对f∈C[a,b]定义集合 K_f={p∈M:p(x)f(x)≥0,?_x∈[a,b]}.若函数p∈K_f满足     

JB_∞- 环

研究了JB∞-环,即满足R/J(R)是QB∞-环,得到了很多J B∞-环的判定条件:R是JB∞-环当且仅当对任意满足条件a R+b R=R的a,b∈R,存在y∈R使得a+by∈R-1J∞当且仅当对任意满足条件a R+b R=d R的a,b,d∈R,存在y∈R,u∈R-1∞使得a+by=du.另外还讨论了替换环是JB∞-环的充分必要条件,这些结论对QB∞-环提供了一些研究基础.     

Qualitative Analysis of Bifurcating Solutions in the Lengyel-Epstein Model

One of the most fundamental problems in theoretical biology is to explain the mechanisms by which patterns and forms are created in the＇living world. In his seminal paper ＂The Chemical Basis of Morphogenesis＂, Turing showed that a system of coupled reaction-diffusion equations can be used to describe patterns and forms in biological systems. However, the first experimental evidence to the Turing patterns was observed by De Kepper and her associates（1990） on the CIMA reaction in an open unstirred reactor, almost 40 years after Turing＇s prediction. Lengyel and Epstein characterized this famous experiment using a system of reaction-diffusion equations. The Lengyel-Epstein model is in the form as follows     

(0,1 ;0)-INTERPOLATION ON INFINITE INTERVAL (-∞, +∞)

In this paper, we study the explicit representation and convergence of (0, 1; 0)-interpolation on infinite interval, which means to determine a polynomial of degree ≤ 3n - 2 when the function values are prescribed at two set of points namely the zeros of Hn(x) and H′n(x) and the first derivatives at the zeros of H′n(x).     

RECENT PROGRESS ON SPHERICAL HARMONIC APPROXIMATION MADE BY BNU RESEARCH GROUP ——In memory of Professor Sun Yongsheng

As early as in 1990, Professor Sun Yongsheng, suggested his students at Beijing Normal University to consider research problems on the unit sphere. Under his guidance and encouragement his students started the research on spherical harmonic analysis and approximation. In this paper, we incompletely introduce the main achievements in this area obtained by our group and relative researchers during recent 5 years （2001-2005）. The main topics are： convergence of Cesaro summability, a.e. and strong summability of Fourier-Laplace series; smoothness and K-functionals; Kolmogorov and linear widths.     

A REPRESENTATION FORMULA RELATED TO SCHR(O)DINGER OPERATORS

Schr(o)dinger operator is a central subject in the mathematical study of quantum mechanics.Consider the Schrodinger operator H = -△ V on R, where △ = d2/dx2 and the potential function V is real valued. In Fourier analysis, it is well-known that a square integrable function admits an expansion with exponentials as eigenfunctions of -△. A natural conjecture is that an L2 function admits a similar expansion in terms of "eigenfunctions" of H, a perturbation of the Laplacian (see [7], Ch. Ⅺ and the notes), under certain condition on V.     

Journal of the Operations Research Society of China Special issue on Operations Research in Healthcare Management

正Guest Editors:Hong Chen,Shanghai Jiao Tong University,Shanghai,China Guohua Wan,Shanghai Jiao Tong University,Shanghai,China David Yao,Columbia University,New York,USA Scope:Healthcare delivery worldwide has been fraught with high cost,low efficiency and poor quality of patient care service.For the field of operations research(OR),healthcare offers some of the biggest challenges as well as best opportunities in     

ANALYSIS IN THEORY AND APPLICATIONS Vol. 30, 2014 CONTENTS

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An alternative mathematical algorithm for the photo- and videokeratoscope

Due to the resolution of current laser technology, the accuracy of corneal topography as measured by the videokeratoscope is no longer adequate to provide precise enough data for refractive surgery or for the fitting of customized contact lenses. We present an algorithm for recovering corneal topography that makes use of modern differential geometric techniques and numerical descent in Sobolev spaces. We believe this algorithm may be used with the photo- and videokeratoscope to increase the accuracy of the recovered corneal topography.     

A note on Sobolev orthogonality for Laguerre matrix polynomials

Let {Ln(A,λ)(x)}n≥0 be the sequence of monic Laguerre matrix polynomials defined on [0, ∞) by Ln(A,λ)(x)=n!/(-λ)n∑nk=0(-λ)κ/k!(n-1)! (A I)n[(A I)k]-1 xk,where A ∈ Cr×r. It is known that {Ln(A,λ)(x)}n≥0 is orthogonal with respect to a matrix moment functional when A satisfies the spectral condition that Re(z) ＞ - 1 for every z ∈σ(A).In this note we show that forA such that σ(A) does not contain negative integers, the Laguerre matrix polynomials Ln(A,λ) (x) are orthogonal with respect to a non-diagonal SobolevLaguerre matrix moment functional, which extends two cases: the above matrix case and the known scalar case.     

CONTENTS OF VOLUME 30

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