then there exists AE R\ such that (Kuhn-Tucker condition) G(s') =0 and 1. Lagrange Method for Constrained Optimization FOC: D.L(,\)=0. The following classical theorem is from Takayama(1993, p.114). Theorem A-4 (Sufficieney). Let f and, i= ,..m, be quasi-concave, where Theorem A-1. (Lagrange). For f: and G\\, consider the following G=(.8 ) Let r' satisfy the Kuhn-Tucker condition and the FOC for (A.2). Then, x' problem is a global maximum point if max f() (1)Df(x') =0, and f is locally twice continuously differentiable,or

定义 10.5.1 设函数 f (x)在闭区间[a, b]上有定义，如果存在多项 式序列｛Pn (x)｝在[a, b] 上一致收敛于 f (x)，则称 f (x)在这闭区间上 可以用多项式一致逼近。 应用分析语言，“f (x)在[a, b]上可以用多项式一致逼近”可等价 表述为：

定义3V是数域P上一个线性空间,f(a,B)是上一个二元函数,即对V 中任意两个向量a,B,根据f都唯一地对应于P中一个数f(a,B)如果f(a,) 有下列性质:

1.单质的活泼性次序为:F2>>Cl2>Br2>2 从F2到Cl2活泼性突变,其原因归结为F原子和F离子的半径特别小

Mr. President, Mrs. Clinton, members of Congress, Ambassador Holbrooke, Excellencies, f riends: Fif ty-four years ago to the day, a young Jewish boy f rom a small town in the Carpathian Mountains woke up, not far f rom Goethe's beloved Weimar, in a place of eternal infamy called Buchenwald. He was finally f ree, but there was no joy in his heart. He thought there never would be again. Liberated a day earlier by American

.下列函数的极大值点和极小值点: (1)f(x,y) (2)f(x,y)=3axy-x3-y2(a>0) (3)f(x,y) (a,b>0) (4)f(x,y)=e2(x+y2+2y)

一、问题的提出 1.设f(x)在x处连续,则有 f()~ f() [(x)()+a] 2.设f(x)在x处可导,则有

关于函数的极限，根据自变量的变化过程，我们主 要研究以下两种情况： 一、当自变量x的绝对值无限增大时，f(x)的变化趋势， 即x → 时, f (x)的极限 二、当自变量x无限地接近于x0时，f(x)的变化趋势 即x → x0时, f (x)的极限

一、定义 定义2.11. 两个成射影对应的重叠的一维基本形中, 若对任意一 个元素, 无论把它看着属于第一基本形的元素或是第二基本形的 元素, 其对应元素相同, 则称这种非恒同的射影变换为一个对合. 定义2.11'. 设f 为一维基本形[π]上的一个非恒同的射影变换. 若 对任意的x∈[π], 都有f(x)=f –1 (x), 则f 称为[π]上的一个对合. 注 (1). 对合非恒同

作业9:设函数f和g在[a,b]上连续,单调,有xn∈[ab使得 g(xn)=f(xn+1)(n=1,2,)证明:3x0∈[a,b],使得f(x0)=g(x)。 证:不妨设f(x)单调递增