ε and ε > 0 we can find a δ > 0 such that

Size: px
Start display at page:

Download "ε and ε > 0 we can find a δ > 0 such that"

Transcription

1 John Riley June 5, 3 ANSWERS TO EXERCISES IN APPENDIX A SECTION A: MAPPINGS OF A SINGLE VARIABLE Eercise A-: Rules of limits (a) Limit of the sum = the sum of the limits We wish to estalish that for any ε > there eists δ > such that L + L ε < f ( ) + f ( ) < L + L + ε for all N(, δ ) () Since f i has a limit L i at, for any ˆ ε > there eists δ i > such that L ˆ ε < f ( ) < L + ˆ ε, for all N(, δ i ) i i i Choose ˆε = ε and δ = Min{ δ, δ} Then and L f L N ε < ( ) < + ε, (, δ) L ε < f < L + ε N δ ( ), (, ) Comining these inequalities it follows that () holds () Limit of the roduct = the roduct of the limits For simlicity assume oth L and L are strictly ositive Since oth functions have a limit at, it follows that for any ε and ε > we can find a δ > such that Then L ε < f < L + ε N δ i i i( ) i i, (, ) f f < ( L + ε)( L + ε ) = LL + Lε + L ε + εε () We need to show that for any ε > we can find a δ > such that LL ε < f( ) f ( ) < LL + ε for all ε Choose ε = Then L ε Lε + L ε + εε = ( L + ) ε + ε L N(, δ ) Answers to eercises in Aendi A age

2 John Riley June 5, 3 ε Finally choose ε to satisfy ( L+ ) ε = ε Then Lε+ L ε+ εε = ε and so, from L inequality (), f( ) f( ) < LL + ε for all N δ (, ) A similar argument estalishes the lower ound for the roduct SECTION A3: DERIVATIVES AND INTEGRALS Eercise A3-: Rules of Differentiation () If the functions f and f have limits L and L at LL Thus the limit of, then the roduct has a limit of g ( + h) g ( ) dg f( + h) is f( ) ( ) and the limit of h ( ) ( ) ( ) f + h g f df is g ( ) ( ) Since the limit of a sum is the sum of the limits it h d d df dg follows that y( ) = fg = g + f (c) To rove the Chain Rule note that as h aroaches zero so must k Then aeal to the roduct rule for limits Eercise A3-: Discontinuously Differentiale Function (a) Alying the Product Rule df d = (sin ) + sin The derivative of sin y is cos y and the derivative of is Alying the Chain d Rule, sin = cos Then df = (sin ) cos () Note that (sin ) 4 Thus the first term is continuous at = However the second term oscillates etween - and more and more raidly as aroaches zero An asterisk () indicates a somewhat harder question This articular question is designed for students with strong mathematical ackgrounds Answers to eercises in Aendi A age

3 John Riley June 5, 3 (c) Since the range of the sin function is [,], f( ) and f( ) Thus the function is continuous at = and f () = Then Since f( ) f() = (sin ) sin, it follows that f( ) f() Thus the function f has a derivative of zero at = From art () the derivative is less than - at oints aritrarily close to so the function is not continuously differentiale at = Eercise A3-3: Integrating y arts (a) d ln = (ln )() = (ln ) ( ln ) () = ln ln = ln ln ( ) γ + γ d + γ (ln )( ) (ln )( ) ( ln )( ) = + γ + γ + γ + γ γ ( ) ln ( ) ln = + γ + γ + γ + γ + γ + γ + γ = ( )( ln ln ) ( ) + γ ( + γ) (c) ( )( e ) = e () e = e e e + e Answers to eercises in Aendi A age 3

4 John Riley June 5, 3 SECTION A4 OPTIMIZATION Eercise A4-: First Order Conditions Consider Ma{ f ( ) = + } Differentiating f, df = If, then the sloe is negative for all >, thus f is maimized at = If > the sloe is ositive at = and reaches zero at = Thus if <, the solution is = and if > the solution is = Alternatively, if you are already comfortale with the Lagrange method, form the Lagrangian, FOC L= + + [ ] dl = with equality if > dl = with equality if d > Suose = Then from the first condition, For oth of these statements to hold, From the second condition = Suose net that < < From the second condition = Then from the first condition = Finally suose = From the first condition = Thus Which answer is more intuitive? Surely it is the first Eercise A4- : Consumer Choice I (a) The rolem to e analyzed is Ma{ f ( ) = B( ) + I } Answers to eercises in Aendi A age 4

5 John Riley June 5, 3 df db Differentiating the maimand, ( ) = ( ) Let e the maimizing value of (i) If df db = then ( ) () = I (ii) If < <, the solution is interior the sloe must e zero hence df db ( ) = ( ) = (iii) Arguing as in case (i), if the consumer urchases only commodity then db I ( ) () If B ( ) = ln, db = Note that case (i) is imossile since the derivative aroaches infinity as aroaches zero Case (iii) occurs if solution is interior and = so = If B ( ) = ln(5 + ), Case (i) occurs if db I ( ) =, that is, if I For all larger incomes the I db = 5 + db () = = Arguing as efore, case (iii) occurs if 5 db I ( ) =, that is, if I If these inequalities do not hold the solution I is interior Then db = = 5 + and so 5( ) = Answers to eercises in Aendi A age 5

6 John Riley June 5, 3 Eercise A4-3: Roinson Crusoe (a) Roinson s investment cannot eceed the endowment thus z ω Since = ω z and y = az, Roinson s utility is uz ( ) = + ln y= ln a+ ω z+ ln z du () Differentiating y z, = + This is ositive as long as z < Thus if dz z < ω the solution is interior and z = If ω Roinson invests his entire endowment in eriod A du (c) We have already seen that ( z ) > for sufficiently small z, thus investment is dz strictly ositive Eercise A4-4: Elasticities (a) ε ( a y) y d( a) y a y, = = = = ε(, y) a d( y) a dy dy () ε(, ) = d ln = d ln d ln y = ε(, ) ε( y, ) y d y d d y z dy z dy y dz dz (c) ε ( y, ) ε ( yz, ) = = = ε ( z, ) dln y dln y dln y = = = = d (d) ε y, ε ( y, ) (e) Using last result d ln y dln y y y ε, = ε, = = = ε ( y, ) Answers to eercises in Aendi A age 6

7 John Riley June 5, 3 SECTION A5 SUFFICIENT CONDITIONS FOR A MAXIMUM Eercise A5-: Profit maimizing firm (a) The rofit function is f ( ) = w hence df d f = 5 w and 5 3 = < It follows that the rofit function is concave () Note that the sloe of the rofit function increases without ound as aroaches df zero Thus the solution must e interior From the first order condition ( ) = it follows that 5 ( ) = wand hence laor demand, The firm s suly of outut is q = ( ) = w / 5 5 = ( ) w Eercise A5-: Cost minimizing inuts (a) Since q = 4K + L, the caital requirements are K q L = ( ) Since caital cannot 4 e negative () ( q L ) and hence L q Total cost is then 4 r C = rk + wl = ( q L ) + wl 4 dc r L w = + and dl 8 r 3 = L > dc Thus total cost is a conve function of L () If the solution is interior, the first order condition, dl 6 dc r r = L + w= L = ( ) dl 8 8w (c) We need to check that the oundary condition is satisfied We require that L q, that is r q 8w Answers to eercises in Aendi A age 7

8 John Riley June 5, 3 If this condition is violated K = and so q L = Hence L = q Eercise A5-3: Proerties of Concave Functions (a) Define h ( ) = f( ) + f( ) where the two function on the right hand side are concave Consider any, and any conve comination Then h ( ) = f( ) + f( ) Since f j is concave j j j f ( ) ( ) f ( ) + f ( ) Summing over j it follows that h( ) ( )( f ( ) + f ( )) + ( f ( ) + f ( )) = ( ) h ( ) + h ( ) () Define h ( ) = g( f( )) Suose that h ( ) h ( ) Since g is increasing it follows that f( ) f( ) Since f( ) is quasi-concave, for any conve comination Since g is increasing it then follows that f( ) f( ) g( f( )) g( f( )), that is, h ( ) h ( ) (c) Define h ( ) = f( g ( )) where f is an increasing concave function and g is concave Given the latter, g ( ) ( ) g ( ) + g ( ) Since f is increasing, it follows that h ( ) = f( g ( )) f(( ) g ( ) + g ( )) But f is also concave hence f(( ) g ( ) + g ( )) ( ) f( g ( )) + f( g ( )) = ( ) h ( ) + h ( ) Comining these inequalities it follows that h ( ) ( ) h ( ) + h ( ) (d) If f is concave then f( ) ( ) f( ) + f( ) = f( ) + ( f( ) f( )) It follows immediately that if f( ) f( ) then f( ) f( ) Eercise A5-4: Family of Concave Functions Answers to eercises in Aendi A age 8

9 John Riley June 5, 3 (i) d du ln = a ( ) Integrating, ln du = + k Then a k du + ( ) = e a Integrating again, + k a a U ( ) = ae + K = ak e + K where K = e k d du (ii) ln = a + du K Integrating, ln = ln( a+ ) + k = ln K ln( a+ ) = ln( ) a + du K Therefore = Integrating again, U( ) = Kln( a+ ) + K a + d du (iii) ln =, a + du Integrating, ln = ln( a + ) + ln K, hence ( a + ) Integrating again, U( ) = K + K ( ) du ( ) = K a + Eercise A5-5: Quasi-concavity (a) The grahs of the two functions elow y = and y = over the domain + are deicted Answers to eercises in Aendi A age 9

10 John Riley June 5, 3 The first is conve (increasing sloe) while the second is concave (decreasing sloe) Both are quasi-concave over + () The function f( ) is deicted elow It takes on the value 8 in the interval [,3] and is strictly increasing for all other Thus f( ) is a quasi-concave function 3 df (c) On the interval [,3] = and d f = Thus the first and second order necessary conditions hold for any oint in this interval The sufficient condition for a local d f maimum ( ( ) < ), is not satisfied in this case Answers to eercises in Aendi A age

Exercise 2: Equivalence of the first two definitions for a differentiable function. is a convex combination of

Exercise 2: Equivalence of the first two definitions for a differentiable function. is a convex combination of March 07 Mathematical Foundations John Riley Module Marginal analysis and single variable calculus 6 Eercises Eercise : Alternative definitions of a concave function (a) For and that 0, and conve combination

More information

, αβ, > 0 is strictly quasi-concave on

, αβ, > 0 is strictly quasi-concave on John Riley 8 Setember 9 Econ Diagnostic Test Time allowed: 9 minutes. Attemt all three questions. Note that the last two arts of questions and 3 are marked with an asterisk (). These do not carry many

More information

CHAPTER 1-2: SHADOW PRICES

CHAPTER 1-2: SHADOW PRICES Essential Microeconomics -- CHAPTER -: SHADOW PRICES An intuitive approach: profit maimizing firm with a fied supply of an input Shadow prices 5 Concave maimization problem 7 Constraint qualifications

More information

CHAPTER 3: OPTIMIZATION

CHAPTER 3: OPTIMIZATION John Riley 8 February 7 CHAPTER 3: OPTIMIZATION 3. TWO VARIABLES 8 Second Order Conditions Implicit Function Theorem 3. UNCONSTRAINED OPTIMIZATION 4 Necessary and Sufficient Conditions 3.3 CONSTRAINED

More information

ANSWERS TO ODD NUMBERED EXERCISES IN CHAPTER 3

ANSWERS TO ODD NUMBERED EXERCISES IN CHAPTER 3 John Riley 5 Setember 0 NSWERS T DD NUMERED EXERCISES IN CHPTER 3 SECTIN 3: Equilibrium and Efficiency Exercise 3-: Prices with Quasi-linear references (a) Since references are convex, an allocation is

More information

5.1 THE ROBINSON CRUSOE ECONOMY

5.1 THE ROBINSON CRUSOE ECONOMY Essential Microeconomics -- 5 THE ROBINSON CRUSOE ECONOMY Ke ideas: Walrasian equilibrium allocation, otimal allocation, invisible hand at work A simle econom with roduction Two commodities, H consumers,

More information

Econ 401A: Economic Theory Mid-term. Answers

Econ 401A: Economic Theory Mid-term. Answers . Labor suly Econ 40: Economic Theory Mid-term nswers (a) Let be labor suly. Then x 4 The key ste is setting u the budget constraint. x w w(4 x ) Thus the budget constraint can be rewritten as follows:

More information

MATH 104 THE SOLUTIONS OF THE ASSIGNMENT

MATH 104 THE SOLUTIONS OF THE ASSIGNMENT MTH 4 THE SOLUTIONS OF THE SSIGNMENT Question9. (Page 75) Solve X = if = 8 and = 4 and write a system. X =, = 8 4 = *+ *4= = 8*+ 4*= For finding the system, we use ( ) = = 6= 5, 8 /5 /5 = = 5 8 8/5 /5

More information

ANSWERS TO ODD NUMBERED EXERCISES IN CHAPTER 5. The constraint is binding at the maximum therefore we can substitute for y

ANSWERS TO ODD NUMBERED EXERCISES IN CHAPTER 5. The constraint is binding at the maximum therefore we can substitute for y John Rile Aril 0 ANSWERS TO ODD NUMBERED EXERCISES IN CHAPTER 5 Section 5: The Robinson Crusoe Econom Eercise 5-: Equilibrium (a) = ( + ω) = ( + 47, ) Then = 47 Substituting or in the / roduction unction,

More information

Convex Analysis and Economic Theory Winter 2018

Convex Analysis and Economic Theory Winter 2018 Division of the Humanities and Social Sciences Ec 181 KC Border Conve Analysis and Economic Theory Winter 2018 Toic 16: Fenchel conjugates 16.1 Conjugate functions Recall from Proosition 14.1.1 that is

More information

Part I Analysis in Economics

Part I Analysis in Economics Part I Analysis in Economics D 1 1 (Function) A function f from a set A into a set B, denoted by f : A B, is a correspondence that assigns to each element A eactly one element y B We call y the image of

More information

2x2x2 Heckscher-Ohlin-Samuelson (H-O-S) model with factor substitution

2x2x2 Heckscher-Ohlin-Samuelson (H-O-S) model with factor substitution 2x2x2 Heckscher-Ohlin-amuelson (H-O- model with factor substitution The HAT ALGEBRA of the Heckscher-Ohlin model with factor substitution o far we were dealing with the easiest ossible version of the H-O-

More information

CONSUMPTION. (Lectures 4, 5, and 6) Remark: (*) signals those exercises that I consider to be the most important

CONSUMPTION. (Lectures 4, 5, and 6) Remark: (*) signals those exercises that I consider to be the most important CONSUMPTION (Lectures 4, 5, and 6) Remark: (*) signals those eercises that I consider to be the most imortant Eercise 0 (MWG, E. 1.B.1, 1.B.) Show that if is rational, then: 1. if y z, then z;. is both

More information

2.2 BUDGET-CONSTRAINED CHOICE WITH TWO COMMODITIES

2.2 BUDGET-CONSTRAINED CHOICE WITH TWO COMMODITIES Essential Miroeonomis -- 22 BUDGET-CONSTRAINED CHOICE WITH TWO COMMODITIES Continuity of demand 2 Inome effets 6 Quasi-linear, Cobb-Douglas and CES referenes 9 Eenditure funtion 4 Substitution effets and

More information

Chiang/Wainwright: Fundamental Methods of Mathematical Economics

Chiang/Wainwright: Fundamental Methods of Mathematical Economics Chiang/Wainwright: Fundamental Methods of Mathematical Economics CHAPTER 9 EXERCISE 9.. Find the stationary values of the following (check whether they are relative maima or minima or inflection points),

More information

Exercises - SOLUTIONS UEC Advanced Microeconomics, Fall 2018 Instructor: Dusan Drabik, de Leeuwenborch 2105

Exercises - SOLUTIONS UEC Advanced Microeconomics, Fall 2018 Instructor: Dusan Drabik, de Leeuwenborch 2105 Eercises - SOLUTIONS UEC-5806 Advanced Microeconomics, Fall 08 Instructor: Dusan Drabik, de Leeuwenborch 05. A consumer has a preference relation on R which can be represented by the utility function u()

More information

Mathematical Foundations -1- Constrained Optimization. Constrained Optimization. An intuitive approach 2. First Order Conditions (FOC) 7

Mathematical Foundations -1- Constrained Optimization. Constrained Optimization. An intuitive approach 2. First Order Conditions (FOC) 7 Mathematical Foundations -- Constrained Optimization Constrained Optimization An intuitive approach First Order Conditions (FOC) 7 Constraint qualifications 9 Formal statement of the FOC for a maximum

More information

1. Sets A set is any collection of elements. Examples: - the set of even numbers between zero and the set of colors on the national flag.

1. Sets A set is any collection of elements. Examples: - the set of even numbers between zero and the set of colors on the national flag. San Francisco State University Math Review Notes Michael Bar Sets A set is any collection of elements Eamples: a A {,,4,6,8,} - the set of even numbers between zero and b B { red, white, bule} - the set

More information

f(x) p(x) =p(b)... d. A function can have two different horizontal asymptotes...

f(x) p(x) =p(b)... d. A function can have two different horizontal asymptotes... Math Final Eam, Fall. ( ts.) Mark each statement as either true [T] or false [F]. f() a. If lim f() =and lim g() =, then lim does not eist......................!5!5!5 g() b. If is a olynomial, then lim!b

More information

You are responsible for upholding the University of Maryland Honor Code while taking this exam.

You are responsible for upholding the University of Maryland Honor Code while taking this exam. Econ300 Spring 2014 Second Midterm Eam version T Answers This eam consists of 25 multiple choice questions. The maimum duration of the eam is 50 minutes. 1. In the spaces provided on the scantron, write

More information

You are responsible for upholding the University of Maryland Honor Code while taking this exam.

You are responsible for upholding the University of Maryland Honor Code while taking this exam. Econ300 Spring 2014 Second Midterm Eam version W Answers This eam consists of 25 multiple choice questions. The maimum duration of the eam is 50 minutes. 1. In the spaces provided on the scantron, write

More information

1.4 FOUNDATIONS OF CONSTRAINED OPTIMIZATION

1.4 FOUNDATIONS OF CONSTRAINED OPTIMIZATION Essential Microeconomics -- 4 FOUNDATIONS OF CONSTRAINED OPTIMIZATION Fundamental Theorem of linear Programming 3 Non-linear optimization problems 6 Kuhn-Tucker necessary conditions Sufficient conditions

More information

Micro I. Lesson 5 : Consumer Equilibrium

Micro I. Lesson 5 : Consumer Equilibrium Microecono mics I. Antonio Zabalza. Universit of Valencia 1 Micro I. Lesson 5 : Consumer Equilibrium 5.1 Otimal Choice If references are well behaved (smooth, conve, continuous and negativel sloed), then

More information

STATIC LECTURE 4: CONSTRAINED OPTIMIZATION II - KUHN TUCKER THEORY

STATIC LECTURE 4: CONSTRAINED OPTIMIZATION II - KUHN TUCKER THEORY STATIC LECTURE 4: CONSTRAINED OPTIMIZATION II - KUHN TUCKER THEORY UNIVERSITY OF MARYLAND: ECON 600 1. Some Eamples 1 A general problem that arises countless times in economics takes the form: (Verbally):

More information

Econ 101A Midterm 2 Th 8 April 2009.

Econ 101A Midterm 2 Th 8 April 2009. Econ A Midterm Th 8 Aril 9. You have aroximately hour and minutes to answer the questions in the midterm. I will collect the exams at. shar. Show your work, and good luck! Problem. Production (38 oints).

More information

ECON 255 Introduction to Mathematical Economics

ECON 255 Introduction to Mathematical Economics Page 1 of 5 FINAL EXAMINATION Winter 2017 Introduction to Mathematical Economics April 20, 2017 TIME ALLOWED: 3 HOURS NUMBER IN THE LIST: STUDENT NUMBER: NAME: SIGNATURE: INSTRUCTIONS 1. This examination

More information

3.2 THE FUNDAMENTAL WELFARE THEOREMS

3.2 THE FUNDAMENTAL WELFARE THEOREMS Essential Microeconomics -1-3.2 THE FUNDMENTL WELFRE THEOREMS Walrasian Equilibrium 2 First welfare teorem 3 Second welfare teorem (conve, differentiable economy) 12 Te omotetic preference 2 2 economy

More information

THE INSTITUTE OF FINANCE MANAGEMENT (IFM) Department of Mathematics. Mathematics 01 MTU Elements of Calculus in Economics

THE INSTITUTE OF FINANCE MANAGEMENT (IFM) Department of Mathematics. Mathematics 01 MTU Elements of Calculus in Economics THE INSTITUTE OF FINANCE MANAGEMENT (IFM) Department of Mathematics Mathematics 0 MTU 070 Elements of Calculus in Economics Calculus Calculus deals with rate of change of quantity with respect to another

More information

Economics 101. Lecture 7 - Monopoly and Oligopoly

Economics 101. Lecture 7 - Monopoly and Oligopoly Economics 0 Lecture 7 - Monooly and Oligooly Production Equilibrium After having exlored Walrasian equilibria with roduction in the Robinson Crusoe economy, we will now ste in to a more general setting.

More information

The Kuhn-Tucker and Envelope Theorems

The Kuhn-Tucker and Envelope Theorems The Kuhn-Tucker and Envelope Theorems Peter Ireland ECON 77200 - Math for Economists Boston College, Department of Economics Fall 207 The Kuhn-Tucker and envelope theorems can be used to characterize the

More information

Walrasian Equilibrium in an exchange economy

Walrasian Equilibrium in an exchange economy Microeconomic Teory -1- Walrasian equilibrium Walrasian Equilibrium in an ecange economy 1. Homotetic preferences 2 2. Walrasian equilibrium in an ecange economy 11 3. Te market value of attributes 18

More information

Chapter 2 THE MATHEMATICS OF OPTIMIZATION. Copyright 2005 by South-Western, a division of Thomson Learning. All rights reserved.

Chapter 2 THE MATHEMATICS OF OPTIMIZATION. Copyright 2005 by South-Western, a division of Thomson Learning. All rights reserved. Chapter THE MATHEMATICS OF OPTIMIZATION Copyright 005 by South-Western, a division of Thomson Learning. All rights reserved. 1 The Mathematics of Optimization Many economic theories begin with the assumption

More information

It is convenient to introduce some notation for this type of problems. I will write this as. max u (x 1 ; x 2 ) subj. to. p 1 x 1 + p 2 x 2 m ;

It is convenient to introduce some notation for this type of problems. I will write this as. max u (x 1 ; x 2 ) subj. to. p 1 x 1 + p 2 x 2 m ; 4 Calculus Review 4.1 The Utility Maimization Problem As a motivating eample, consider the problem facing a consumer that needs to allocate a given budget over two commodities sold at (linear) prices p

More information

(a) The isoquants for each of the three production functions are show below:

(a) The isoquants for each of the three production functions are show below: Problem Set 7: Solutions ECON 0: Intermediate Microeconomics Prof. Marek Weretka Problem (Production Functions) (a) The isoquants for each of the three roduction functions are show below: f(, ) = f (f

More information

Economics 205 Exercises

Economics 205 Exercises Economics 05 Eercises Prof. Watson, Fall 006 (Includes eaminations through Fall 003) Part 1: Basic Analysis 1. Using ε and δ, write in formal terms the meaning of lim a f() = c, where f : R R.. Write the

More information

Online Supplementary Appendix B

Online Supplementary Appendix B Online Supplementary Appendix B Uniqueness of the Solution of Lemma and the Properties of λ ( K) We prove the uniqueness y the following steps: () (A8) uniquely determines q as a function of λ () (A) uniquely

More information

Lecture Notes for Chapter 12

Lecture Notes for Chapter 12 Lecture Notes for Chapter 12 Kevin Wainwright April 26, 2014 1 Constrained Optimization Consider the following Utility Max problem: Max x 1, x 2 U = U(x 1, x 2 ) (1) Subject to: Re-write Eq. 2 B = P 1

More information

TOPIC VI UNCONSTRAINED OPTIMIZATION I

TOPIC VI UNCONSTRAINED OPTIMIZATION I [1] Motivation TOPIC VI UNCONSTRAINED OPTIMIZATION I y 8 6 3 3 5 7 Consider Dom (f) = {0 7}. Global ma: y = 8 at = 7 gma Global min: y = 3 at = 5 gmin Local ma: y = 6 at = 3 lma Local min: y = 3 at = 5

More information

Essential Microeconomics : EQUILIBRIUM AND EFFICIENCY WITH PRODUCTION Key ideas: Walrasian equilibrium, first and second welfare theorems

Essential Microeconomics : EQUILIBRIUM AND EFFICIENCY WITH PRODUCTION Key ideas: Walrasian equilibrium, first and second welfare theorems Essential Microeconomics -- 5.2: EQUILIBRIUM AND EFFICIENCY WITH PRODUCTION Key ideas: Walrasian equilibrium, irst and second welare teorems A general model 2 First welare Teorem 7 Second welare teorem

More information

Chapter 10. Classical Fourier Series

Chapter 10. Classical Fourier Series Math 344, Male ab Manual Chater : Classical Fourier Series Real and Comle Chater. Classical Fourier Series Fourier Series in PS K, Classical Fourier Series in PS K, are aroimations obtained using orthogonal

More information

PROFIT MAXIMIZATION. π = p y Σ n i=1 w i x i (2)

PROFIT MAXIMIZATION. π = p y Σ n i=1 w i x i (2) PROFIT MAXIMIZATION DEFINITION OF A NEOCLASSICAL FIRM A neoclassical firm is an organization that controls the transformation of inuts (resources it owns or urchases into oututs or roducts (valued roducts

More information

Universidad Carlos III de Madrid

Universidad Carlos III de Madrid Universidad Carlos III de Madrid Eercise 1 2 3 4 5 6 Total Points Department of Economics Mathematics I Final Eam January 22nd 2018 LAST NAME: Eam time: 2 hours. FIRST NAME: ID: DEGREE: GROUP: 1 (1) Consider

More information

Chiang/Wainwright: Fundamental Methods of Mathematical Economics

Chiang/Wainwright: Fundamental Methods of Mathematical Economics CHAPTER 12 Eercise 12.2 1. (a) Z = y + (2 2y). The necessary condition is: Z =2 2y =0 Z = y =0 Z y = 2 =0 Thus 2, =1, y 2 yielding z 2. (b) Z = y +4 + (8 y). The necessary condition is: Z =8 y =0 Z = y

More information

PHYS 301 HOMEWORK #9-- SOLUTIONS

PHYS 301 HOMEWORK #9-- SOLUTIONS PHYS 0 HOMEWORK #9-- SOLUTIONS. We are asked to use Dirichlet' s theorem to determine the value of f (x) as defined below at x = 0, ± /, ± f(x) = 0, - < x

More information

ECON 500 Fall Exam #2 Answer Key.

ECON 500 Fall Exam #2 Answer Key. ECO 500 Fall 004. Eam # Answer Key. ) While standing in line at your favourite movie theatre, you hear someone behind you say: I like ocorn, but I m not buying any because it isn t worth the high rice.

More information

Calculus One variable

Calculus One variable Calculus One variable (f ± g) ( 0 ) = f ( 0 ) ± g ( 0 ) (λf) ( 0 ) = λ f ( 0 ) ( (fg) ) ( 0 ) = f ( 0 )g( 0 ) + f( 0 )g ( 0 ) f g (0 ) = f ( 0 )g( 0 ) f( 0 )g ( 0 ) f( 0 ) 2 (f g) ( 0 ) = f (g( 0 )) g

More information

Using the MVT: Increasing and Decreasing Functions

Using the MVT: Increasing and Decreasing Functions Using the MVT: Increasing and Decreasing Functions F irst let s be clear on what and decreasing functions are DEFINITION 317 Assume f is defined on an interval I f is on I if whenever a and b are in I

More information

E-companion to A risk- and ambiguity-averse extension of the max-min newsvendor order formula

E-companion to A risk- and ambiguity-averse extension of the max-min newsvendor order formula e-comanion to Han Du and Zuluaga: Etension of Scarf s ma-min order formula ec E-comanion to A risk- and ambiguity-averse etension of the ma-min newsvendor order formula Qiaoming Han School of Mathematics

More information

Essential Microeconomics EXISTENCE OF EQUILIBRIUM Core ideas: continuity of excess demand functions, Fixed point theorems

Essential Microeconomics EXISTENCE OF EQUILIBRIUM Core ideas: continuity of excess demand functions, Fixed point theorems Essetial Microecoomics -- 5.3 EXISTENCE OF EQUILIBRIUM Core ideas: cotiuity of excess demad fuctios, Fixed oit teorems Two commodity excage ecoomy 2 Excage ecoomy wit may commodities 5 Discotiuous demad

More information

The Kuhn-Tucker and Envelope Theorems

The Kuhn-Tucker and Envelope Theorems The Kuhn-Tucker and Envelope Theorems Peter Ireland EC720.01 - Math for Economists Boston College, Department of Economics Fall 2010 The Kuhn-Tucker and envelope theorems can be used to characterize the

More information

September Math Course: First Order Derivative

September Math Course: First Order Derivative September Math Course: First Order Derivative Arina Nikandrova Functions Function y = f (x), where x is either be a scalar or a vector of several variables (x,..., x n ), can be thought of as a rule which

More information

Microeconomic Theory -1- Introduction

Microeconomic Theory -1- Introduction Microeconomic Theory -- Introduction. Introduction. Profit maximizing firm with monopoly power 6 3. General results on maximizing with two variables 8 4. Model of a private ownership economy 5. Consumer

More information

AY Term 1 Examination November 2013 ECON205 INTERMEDIATE MATHEMATICS FOR ECONOMICS

AY Term 1 Examination November 2013 ECON205 INTERMEDIATE MATHEMATICS FOR ECONOMICS AY203-4 Term Examination November 203 ECON205 INTERMEDIATE MATHEMATICS FOR ECONOMICS INSTRUCTIONS TO CANDIDATES The time allowed for this examination paper is TWO hours 2 This examination paper contains

More information

The Euler Phi Function

The Euler Phi Function The Euler Phi Function 7-3-2006 An arithmetic function takes ositive integers as inuts and roduces real or comlex numbers as oututs. If f is an arithmetic function, the divisor sum Dfn) is the sum of the

More information

International Trade with a Public Intermediate Good and the Gains from Trade

International Trade with a Public Intermediate Good and the Gains from Trade International Trade with a Public Intermediate Good and the Gains from Trade Nobuhito Suga Graduate School of Economics, Nagoya University Makoto Tawada Graduate School of Economics, Nagoya University

More information

MATH529 Fundamentals of Optimization Constrained Optimization I

MATH529 Fundamentals of Optimization Constrained Optimization I MATH529 Fundamentals of Optimization Constrained Optimization I Marco A. Montes de Oca Mathematical Sciences, University of Delaware, USA 1 / 26 Motivating Example 2 / 26 Motivating Example min cost(b)

More information

Discussion Papers in Economics

Discussion Papers in Economics Discussion Paers in Economics No. No. 2004/09 2000/62 Dynamics of Multile Outut Growth, Equilibria Consumtion with Eternalities and Physical Caital in Two-Sector Models of Endogenous Growth by by Emanuela

More information

Chapter 9. Derivatives. Josef Leydold Mathematical Methods WS 2018/19 9 Derivatives 1 / 51. f x. (x 0, f (x 0 ))

Chapter 9. Derivatives. Josef Leydold Mathematical Methods WS 2018/19 9 Derivatives 1 / 51. f x. (x 0, f (x 0 )) Chapter 9 Derivatives Josef Leydold Mathematical Methods WS 208/9 9 Derivatives / 5 Difference Quotient Let f : R R be some function. The the ratio f = f ( 0 + ) f ( 0 ) = f ( 0) 0 is called difference

More information

Gi en Demand for Several Goods

Gi en Demand for Several Goods Gi en Demand for Several Goods Peter Norman Sørensen January 28, 2011 Abstract The utility maimizing consumer s demand function may simultaneously possess the Gi en property for any number of goods strictly

More information

Basic mathematics of economic models. 3. Maximization

Basic mathematics of economic models. 3. Maximization John Riley 1 January 16 Basic mathematics o economic models 3 Maimization 31 Single variable maimization 1 3 Multi variable maimization 6 33 Concave unctions 9 34 Maimization with non-negativity constraints

More information

COMMUNICATION BETWEEN SHAREHOLDERS 1

COMMUNICATION BETWEEN SHAREHOLDERS 1 COMMUNICATION BTWN SHARHOLDRS 1 A B. O A : A D Lemma B.1. U to µ Z r 2 σ2 Z + σ2 X 2r ω 2 an additive constant that does not deend on a or θ, the agents ayoffs can be written as: 2r rθa ω2 + θ µ Y rcov

More information

Chapter 5 Notes. These notes correspond to chapter 5 of Mas-Colell, Whinston, and Green.

Chapter 5 Notes. These notes correspond to chapter 5 of Mas-Colell, Whinston, and Green. Chater 5 Notes These notes corresond to chater 5 of Mas-Colell, Whinston, and Green. 1 Production We now turn from consumer behavior to roducer behavior. For the most art we will examine roducer behavior

More information

f'(x) = x 4 (2)(x - 6)(1) + (x - 6) 2 (4x 3 ) f'(x) = (x - 2) -1/3 = x 2 ; domain of f: (-, ) f'(x) = (x2 + 1)4x! 2x 2 (2x) 4x f'(x) =

f'(x) = x 4 (2)(x - 6)(1) + (x - 6) 2 (4x 3 ) f'(x) = (x - 2) -1/3 = x 2 ; domain of f: (-, ) f'(x) = (x2 + 1)4x! 2x 2 (2x) 4x f'(x) = 85. f() = 4 ( - 6) 2 f'() = 4 (2)( - 6)(1) + ( - 6) 2 (4 3 ) = 2 3 ( - 6)[ + 2( - 6)] = 2 3 ( - 6)(3-12) = 6 3 ( - 4)( - 6) Thus, the critical values are = 0, = 4, and = 6. Now we construct the sign chart

More information

Lecture Notes October 18, Reading assignment for this lecture: Syllabus, section I.

Lecture Notes October 18, Reading assignment for this lecture: Syllabus, section I. Lecture Notes October 18, 2012 Reading assignment for this lecture: Syllabus, section I. Economic General Equilibrium Partial and General Economic Equilibrium PARTIAL EQUILIBRIUM S k (p o ) = D k k (po

More information

Section A (Basic algebra and calculus multiple choice)

Section A (Basic algebra and calculus multiple choice) BEE1 Basic Mathematical Economics Dieter Balkenborg January 4 eam Solutions Department of Economics 2.2.4 University of Eeter Section A (Basic algebra and calculus multiple choice) Question A1 : The function

More information

16.2. Infinite Series. Introduction. Prerequisites. Learning Outcomes

16.2. Infinite Series. Introduction. Prerequisites. Learning Outcomes Infinite Series 6.2 Introduction We extend the concet of a finite series, met in Section 6., to the situation in which the number of terms increase without bound. We define what is meant by an infinite

More information

Microeconomics Fall 2017 Problem set 1: Possible answers

Microeconomics Fall 2017 Problem set 1: Possible answers Microeconomics Fall 07 Problem set Possible answers Each answer resents only one way of solving the roblem. Other right answers are ossible and welcome. Exercise For each of the following roerties, draw

More information

MATH 2710: NOTES FOR ANALYSIS

MATH 2710: NOTES FOR ANALYSIS MATH 270: NOTES FOR ANALYSIS The main ideas we will learn from analysis center around the idea of a limit. Limits occurs in several settings. We will start with finite limits of sequences, then cover infinite

More information

16.2. Infinite Series. Introduction. Prerequisites. Learning Outcomes

16.2. Infinite Series. Introduction. Prerequisites. Learning Outcomes Infinite Series 6. Introduction We extend the concet of a finite series, met in section, to the situation in which the number of terms increase without bound. We define what is meant by an infinite series

More information

Firms and returns to scale -1- John Riley

Firms and returns to scale -1- John Riley Firms and returns to scale -1- John Riley Firms and returns to scale. Increasing returns to scale and monopoly pricing 2. Natural monopoly 1 C. Constant returns to scale 21 D. The CRS economy 26 E. pplication

More information

Mathematical Foundations -1- Convexity and quasi-convexity. Convex set Convex function Concave function Quasi-concave function Supporting hyperplane

Mathematical Foundations -1- Convexity and quasi-convexity. Convex set Convex function Concave function Quasi-concave function Supporting hyperplane Mathematical Foundations -1- Convexity and quasi-convexity Convex set Convex function Concave function Quasi-concave function Supporting hyperplane Mathematical Foundations -2- Convexity and quasi-convexity

More information

Firms and returns to scale -1- Firms and returns to scale

Firms and returns to scale -1- Firms and returns to scale Firms and returns to scale -1- Firms and returns to scale. Increasing returns to scale and monopoly pricing 2. Constant returns to scale 19 C. The CRS economy 25 D. pplication to trade 47 E. Decreasing

More information

Economics 101. Lecture 2 - The Walrasian Model and Consumer Choice

Economics 101. Lecture 2 - The Walrasian Model and Consumer Choice Economics 101 Lecture 2 - The Walrasian Model and Consumer Choice 1 Uncle Léon The canonical model of exchange in economics is sometimes referred to as the Walrasian Model, after the early economist Léon

More information

ECON 186 Class Notes: Optimization Part 2

ECON 186 Class Notes: Optimization Part 2 ECON 186 Class Notes: Optimization Part 2 Jijian Fan Jijian Fan ECON 186 1 / 26 Hessians The Hessian matrix is a matrix of all partial derivatives of a function. Given the function f (x 1,x 2,...,x n ),

More information

Short Solutions to Practice Material for Test #2 MATH 2421

Short Solutions to Practice Material for Test #2 MATH 2421 Short Solutions to Practice Material for Test # MATH 4 Kawai (#) Describe recisely the D surfaces listed here (a) + y + z z = Shere ( ) + (y ) + (z ) = 4 = The center is located at C (; ; ) and the radius

More information

Department of Agricultural Economics. PhD Qualifier Examination. May 2009

Department of Agricultural Economics. PhD Qualifier Examination. May 2009 Department of Agricultural Economics PhD Qualifier Examination May 009 Instructions: The exam consists of six questions. You must answer all questions. If you need an assumption to complete a question,

More information

MATH 1325 Business Calculus Guided Notes

MATH 1325 Business Calculus Guided Notes MATH 135 Business Calculus Guided Notes LSC North Harris By Isabella Fisher Section.1 Functions and Theirs Graphs A is a rule that assigns to each element in one and only one element in. Set A Set B Set

More information

Theory of Externalities Partial Equilibrium Analysis

Theory of Externalities Partial Equilibrium Analysis Theory of Externalities Partial Equilibrium Analysis Definition: An externality is resent whenever the well being of a consumer or the roduction ossibilities of a firm are directly affected by the actions

More information

Excerpt from "Intermediate Algebra" 2014 AoPS Inc.

Excerpt from Intermediate Algebra 2014 AoPS Inc. Ecert from "Intermediate Algebra" 04 AoPS Inc. www.artofroblemsolving.com for which our grah is below the -ais with the oints where the grah intersects the -ais (because the ineuality is nonstrict), we

More information

Chapter 2 Section 3. Partial Derivatives

Chapter 2 Section 3. Partial Derivatives Chapter Section 3 Partial Derivatives Deinition. Let be a unction o two variables and. The partial derivative o with respect to is the unction, denoted b D1 1 such that its value at an point (,) in the

More information

Rules of Differentiation

Rules of Differentiation Rules of Differentiation The process of finding the derivative of a function is called Differentiation. 1 In the previous chapter, the required derivative of a function is worked out by taking the limit

More information

1 Entropy 1. 3 Extensivity 4. 5 Convexity 5

1 Entropy 1. 3 Extensivity 4. 5 Convexity 5 Contents CONEX FUNCIONS AND HERMODYNAMIC POENIALS 1 Entroy 1 2 Energy Reresentation 2 3 Etensivity 4 4 Fundamental Equations 4 5 Conveity 5 6 Legendre transforms 6 7 Reservoirs and Legendre transforms

More information

Ordering the Extraction of Polluting Nonrenewable Resources

Ordering the Extraction of Polluting Nonrenewable Resources Web Appendi for Ordering the Etraction of Polluting Nonrenewable Resources Appendi A: Maimizing umulative Etraction of oal along a otelling Path implies that the Stock of Pollution is Always at the eiling

More information

Adding Production to the Theory

Adding Production to the Theory Adding Production to the Theory We begin by considering the simplest situation that includes production: two goods, both of which have consumption value, but one of which can be transformed into the other.

More information

3. THE EXCHANGE ECONOMY

3. THE EXCHANGE ECONOMY Essential Microeconomics -1-3. THE EXCHNGE ECONOMY Pareto efficient allocations 2 Edgewort box analysis 5 Market clearing prices 13 Walrasian Equilibrium 16 Equilibrium and Efficiency 22 First welfare

More information

Chapter 3 - The Concept of Differentiation

Chapter 3 - The Concept of Differentiation alculus hapter - The oncept o Dierentiation Applications o Dierentiation opyright 00-004 preptests4u.com. All Rights Reserved. This Academic Review is brought to you ree o charge by preptests4u.com. Any

More information

3. Neoclassical Demand Theory. 3.1 Preferences

3. Neoclassical Demand Theory. 3.1 Preferences EC 701, Fall 2005, Microeconomic Theory September 28, 2005 page 81 3. Neoclassical Demand Theory 3.1 Preferences Not all preferences can be described by utility functions. This is inconvenient. We make

More information

INTRODUCTORY MATHEMATICS FOR ECONOMICS MSCS. LECTURE 3: MULTIVARIABLE FUNCTIONS AND CONSTRAINED OPTIMIZATION. HUW DAVID DIXON CARDIFF BUSINESS SCHOOL.

INTRODUCTORY MATHEMATICS FOR ECONOMICS MSCS. LECTURE 3: MULTIVARIABLE FUNCTIONS AND CONSTRAINED OPTIMIZATION. HUW DAVID DIXON CARDIFF BUSINESS SCHOOL. INTRODUCTORY MATHEMATICS FOR ECONOMICS MSCS. LECTURE 3: MULTIVARIABLE FUNCTIONS AND CONSTRAINED OPTIMIZATION. HUW DAVID DIXON CARDIFF BUSINESS SCHOOL. SEPTEMBER 2009. 3.1 Functions of more than one variable.

More information

18 19 Find the extreme values of f on the region described by the inequality. 20. Consider the problem of maximizing the function

18 19 Find the extreme values of f on the region described by the inequality. 20. Consider the problem of maximizing the function 940 CHAPTER 14 PARTIAL DERIVATIVES 14.8 EXERCISES 1. Pictured are a contour map of f and a curve with equation t, y 8. Estimate the maimum and minimum values of f subject to the constraint that t, y 8.

More information

BEEM103 UNIVERSITY OF EXETER. BUSINESS School. January 2009 Mock Exam, Part A. OPTIMIZATION TECHNIQUES FOR ECONOMISTS solutions

BEEM103 UNIVERSITY OF EXETER. BUSINESS School. January 2009 Mock Exam, Part A. OPTIMIZATION TECHNIQUES FOR ECONOMISTS solutions BEEM03 UNIVERSITY OF EXETER BUSINESS School January 009 Mock Exam, Part A OPTIMIZATION TECHNIQUES FOR ECONOMISTS solutions Duration : TWO HOURS The paper has 3 parts. Your marks on the rst part will be

More information

Solutions. ams 11b Study Guide 9 econ 11b

Solutions. ams 11b Study Guide 9 econ 11b ams 11b Study Guide 9 econ 11b Solutions 1. A monopolistic firm sells one product in two markets, A and B. The daily demand equations for the firm s product in these markets are given by Q A = 100 0.4P

More information

Essential Maths 1. Macquarie University MAFC_Essential_Maths Page 1 of These notes were prepared by Anne Cooper and Catriona March.

Essential Maths 1. Macquarie University MAFC_Essential_Maths Page 1 of These notes were prepared by Anne Cooper and Catriona March. Essential Maths 1 The information in this document is the minimum assumed knowledge for students undertaking the Macquarie University Masters of Applied Finance, Graduate Diploma of Applied Finance, and

More information

to maximize a function

to maximize a function John Riley F Maimization with a sinle constraint F Constrained Maimization Many models in economics share the ollowin characteristics An economic aent chooses a non-neative bundle constraint o the orm

More information

Test code: ME I/ME II, 2004 Syllabus for ME I. Matrix Algebra: Matrices and Vectors, Matrix Operations, Determinants,

Test code: ME I/ME II, 2004 Syllabus for ME I. Matrix Algebra: Matrices and Vectors, Matrix Operations, Determinants, Test code: ME I/ME II, 004 Syllabus for ME I Matri Algebra: Matrices and Vectors, Matri Operations, Determinants, Nonsingularity, Inversion, Cramer s rule. Calculus: Limits, Continuity, Differentiation

More information

; p. p y p y p y. Production Set: We have 2 constraints on production - demand for each factor of production must be less than its endowment

; p. p y p y p y. Production Set: We have 2 constraints on production - demand for each factor of production must be less than its endowment Exercise 1. Consider an economy with produced goods - x and y;and primary factors (these goods are not consumed) of production A and. There are xedcoe±cient technologies for producing x and y:to produce

More information

Existence and number of solutions for a class of semilinear Schrödinger equations

Existence and number of solutions for a class of semilinear Schrödinger equations Existence numer of solutions for a class of semilinear Schrödinger equations Yanheng Ding Institute of Mathematics, AMSS, Chinese Academy of Sciences 100080 Beijing, China Andrzej Szulkin Deartment of

More information

In economics, the amount of a good x demanded is a function of the price of that good. In other words,

In economics, the amount of a good x demanded is a function of the price of that good. In other words, I. UNIVARIATE CALCULUS Given two sets X and Y, a function is a rule that associates each member of X with eactly one member of Y. That is, some goes in, and some y comes out. These notations are used to

More information

Midterm Exam - Solutions

Midterm Exam - Solutions EC 70 - Math for Economists Samson Alva Department of Economics, Boston College October 13, 011 Midterm Exam - Solutions 1 Quasilinear Preferences (a) There are a number of ways to define the Lagrangian

More information

Real option valuation for reserve capacity

Real option valuation for reserve capacity Real option valuation for reserve capacity MORIARTY, JM; Palczewski, J doi:10.1016/j.ejor.2016.07.003 For additional information aout this pulication click this link. http://qmro.qmul.ac.uk/xmlui/handle/123456789/13838

More information

ANSWERS TO EVEN NUMBERED EXERCISES IN CHAPTER 6 SECTION 6.1: LIFE CYCLE CONSUMPTION AND WEALTH T 1. . Let ct. ) is a strictly concave function of c

ANSWERS TO EVEN NUMBERED EXERCISES IN CHAPTER 6 SECTION 6.1: LIFE CYCLE CONSUMPTION AND WEALTH T 1. . Let ct. ) is a strictly concave function of c John Riley December 00 S O EVEN NUMBERED EXERCISES IN CHAPER 6 SECION 6: LIFE CYCLE CONSUMPION AND WEALH Eercise 6-: Opimal saving wih more han one commodiy A consumer has a period uiliy funcion δ u (

More information