尼克尔森中级微观经济学答案Nicholson2.pdf

CHAPTER 2 MATHEMATICS FOR MICROECONOMICS The problems in this chapter are primarily mathematical. They are intended to give students some practice with the concepts introduced in Chapter 2, but the problems in themselves offer few economic insights. Consequently, no commentary is provided. Results from some of the analytical problems are used in later chapters, however, and in those cases the student will be directed to here. Solutions 2.1 Substitution: 2 1 so yxfxyx= = x 0 = 2x 1 = x f 0.50.5,0.25x =, y = f = Note: . This is a local and global maximum. 20f = 2( . This can be shown most easily by 12)1212 ,2(2 )(2) ,)(2fxxxxx x =+f =. 2.11 More on Expected Value a. The tangent to g(x) at the point E(x) will have the form for all values of x and )(xgdxc+ )()(xEgxdEc=+. But, )()()()(xEgxdEcdxcExgE=+=+. b. Using the same procedure as before with instead of and vice versa, we have the following proof: The tangent to g(x) at the point E(x) will have the form for all values of x and )(xgdxc+ )()(xEgxdEc=+. Now, )()()()(xEgxdEcdxcExgE=+=+. c. Let dxdvvxxfduxFu=,),(),(1. Apply Equation 2.136. )()(0)()(1 ()(1 ( 0 0 0 xExEdxxxfxxFdxxF=+= This edition is intended for use outside of the U.S. only, with content that may be different from the U.S. Edition. This may not be resold, copied, or distributed without the prior consent of the publisher. 6 Chapter 2: Mathematics for Microeconomics d. LHStxPdxxfdxxtf t dxxxf t dxxxfdxxxf tt xE RHS ttt t t = += )()()( 1 )( 1 )()( 1)( 0 e. 1. 1 2 22)( 1 2 1 3 = = x dxxdxxf 2. 2 1 2 1 3 1 2 22)()( = = x x dxxdxxfxF x xx 3. E(x) = = dxxF)(1 (1 1 1 1 2 = xdxx 4. t xE t xSince tt xE t ttFtxP )(1 , 1 1)( 1 )(1)( 2 2 2 = = Thus, Markovs inequality holds. f. 1. 1 9 1 3 )( 2 1 3 2 1 2 = xdx x dxxf 2. 4 5 12 116 12 1 3 )()( 2 1 4 2 1 3 = = xdx x dxxxfxE 3. 9 1 9 1 3 )01( 0 1 3 0 1 2 = xdx x xP 4. 20 ; 8 3 9 8 3 )( )( )( 2 2 =x x x AP AandxP Axf 5. 2 3 32 3 8 3 )()( 2 0 4 2 0 3 = xdx x dxAxxfAxE 6. Eliminating the lowest values for x should increase the expected value of the remaining values. This edition is intended for use outside of the U.S. only, with content that may be different from the U.S. Edition. This may not be resold, copied, or distributed without the prior consent of the publisher. 7 Chapter 2: Mathematics for Microeconomics 2.12 The Cobb-Douglas Function a. 1 1 12 f 0. xx = 2 1 12 f 0. x x = 11 2 11 f ( 1) 0, x2 is a convex function of x1 . c. Using equation 2.98, x x x x 1) ( ) ( 1) ( = f ff 2 2 2 2 2 1 2 22 2 2 2 2 1 2 12 11 = which is negative for + 1. x x ) (1 2 22 2 1 2.13 More on Variances and Covariances a. 22 2222 222 )()( )()()(2)()()(2)( )()(2()()( xExE xExExExExEExxEExE xExxExExExExVar = +=+= += b. )()()( )()()()()()()( )()()()( )()(),( yExExyE yExExEyEyExExyE yExExyEyxExyE yEyxExEyxCov = += += = c. (From part a.) 22 )()()(byaxEbyaxEbyaxVar= (From results of parts a. and b.) ),(2)()( )()()(2)()()(2)( )()()2( 22 22222222 22222 yxabCovyVarbxVara yEbyExabExEayEbxyabExEa ybExaEybaxbyxaE += += += m This edition is intended for use outside of the U.S. only, with content that may be different from the U.S. Edition. This may not be resold, copied, or distributed without the prior consent of the publisher. Chapter 2: Mathematics for Microeconomics This edition is intended for use outside of the U.S. only, with content that may be different from the U.S. Edition. This may not be resold, copied, or distributed without the prior consent of the publisher. 8 d. )()(5 .)(5 .)5 .5(.xEyExEyxE=+=+ Remember that if 2 random variables x and y are independent, then Cov(x, y) = 0 )( 5 . 0)(25.)(25.) 5 . 5(. xVar yVarxVaryxVar = +=+ If x and y characterize 2 different assets with the properties )var()var(),()(yxyExE=we have shown that the variance of a diversified portfolio is only half as large as for a portfolio invested in only one of the assets. 2.14 Concave and Quasiconcave Functions The proof is most easily accomplished through the use of the matrix algebra of quadratic forms. See, for example, Mas Colell et al., pp. 937-939. Intuitively, because concave functions lie below any tangent plane, their level curves must also be convex. But the converse is not true. Quasi-concave functions may exhibit “increasing returns to scale”; even th