4) Univariate and multivariate functions

Size: px
Start display at page:

Download "4) Univariate and multivariate functions"

Transcription

1 30C00300 Mathematical Methods for Economists (6 cr) 4) Univariate and multivariate functions Simon & Blume chapters: 13, 15 Slides originally by: Timo Kuosmanen Slides amended by: Anna Lukkarinen Lecture held by: Anna Lukkarinen 1

2 How much more rope? 1m 1m 1m 1m 1m 1m 1m 1m

3 Outline 1. Function as a mapping 2. Inverse function 3. Implicit function and correspondence 4. Microeconomic content Production function Utility function Cost, revenue and profit functions 3

4 Function Definition (S&B, Ch. 13.1): A function from a set A to a set B is a rule that assigns to each object in A, one and only one object in B. In this case, we write f: A B. Set A is called the domain of f. Set B is called the target or target space. y=f(x) is the image (or range) of x under f. Note: it is incorrect to write f(x) to denote the function itself. It is the value of function f at point x. 4

5 Function In other words A function is a rule that assigns a unique object to each object in the function s domain Input Function Output

6 Function - Basic definitions y = f(x) y Depends on x Dependent variable Endogenous variable Image or range Set of all output elements x Fixed outside model Independent variable Exogenous variable Domain Set of all input elements

7 Polynomial functions f x = a n x n + a n 1 x n a 1 x 1 + a 0 (a n 0) Polynomial functions Linear functions Cubic functions Quadratic functions Etc.

8 Exponential functions f x = Aa x (a > 0, a 1) Source of picture: Matti Karvonen, lecture notes for Mathematics and Statistics for Managers, 2008

9 Firm s production function Production function f: R + k R + indicates the maximum output that can be produced with given input vector x. Definition: f ( x) max y ( x, y) T Note: production function represents Eff(T). Example: Cobb-Douglas production function k k i i1 f x x x x x k i ( x)... 9

10 Consumer s utility function Utility function u can be used for modeling choices. Utility function indicates the level of satisfaction obtained from consumption of commodity basket x = (x 1, x 2,, x m ) Example: Cobb-Douglas utility function m u : R R, u x x x x m ( x)... m i1 x i i m 10

11 Graph of a function The graph of a function can help to visualize functions of one or two variables. The graph is a set that contains pairs of points consisting of the elements of domain A and the corresponding values of f: ( x, f ( x) x A 11

12 Outline 1. Function as a mapping 2. Inverse function 3. Implicit function and correspondence 4. Microeconomic content Production function Utility function Cost, revenue and profit functions 12

13 Inverse function If f: A B is an injection, the inverse function f 1 : B A exists. Note: The domain of the inverse function is the target of the original function, and vice versa. Given equation y = f(x), the inverse function of f is obtained by solving x. Example: f(x) = 2x + 3 f 1 (y) = ½(y 3). 13

14 Examples of inverse functions The inverse of the power function f(x) = x n is the nth root f(x) -1 = x 1/n. The inverse of the exponential function f(x) = exp(x) is the logarithm function f(x) -1 = lnx. Examples in economics: Demand function: Inverse demand: q = D(p) p = D -1 (q) 14

15 Exponential and logarithmic functions Source of picture: Matti Karvonen, lecture notes for Mathematics and Statistics for Managers, 2008

16 Increasing and decreasing functions In R 2, if the graph of a function rises (drops) from left to right on an interval I, it is increasing (decreasing) on I Function f is increasing on [a,b] Function g is decreasing on [a,b] Function h is neither increasing nor decreasing on R Modified from: Matti Karvonen, lecture notes for Mathematics and Statistics for Managers, 2008

17 Increasing and decreasing functions y = f(x) Increasing Decreasing x 1 < x 2 f(x 1 ) f(x 2 ) x 1 < x 2 f(x 1 ) f(x 2 ) Strictly increasing x 1 < x 2 f(x 1 ) < f(x 2 ) Strictly decreasing x 1 < x 2 f(x 1 ) > f(x 2 ) y (1,1) (-2,2) y (-2, - 2) x (1,-1) x

18 Inverse function Note: Not all functions are invertible: the inverse function does not necessarily exist. To be invertible, a real valued function f must be strictly monotonic increasing or strictly monotonic decreasing in its domain. 18

19 Outline 1. Function as a mapping 2. Inverse function 3. Implicit function and correspondence 4. Microeconomic content Production function Utility function Cost, revenue and profit functions 19

20 Implicit function Explicit form: y = F x 1,, x n y is an explicit function of the x i s Implicit form: G x 1,, x n, y = 0 If the equation determines a corresponding value y for each (x i,, x i ), it defines y is an implicit function of the x i s 20

21 Correspondence A correspondence F from set A to set B is a rule that maps each x in A into a subset F(x) of B A correspondence is different from a function in that a given domain is mapped into a set (not a single object as in a function) 21

22 Outline 1. Function as a mapping 2. Inverse function 3. Implicit function and correspondence 4. Microeconomic content Production function Utility function Cost, revenue and profit functions 22

23 Cost function k Given input prices w R and technology T the minimum, cost of producing output y is given by the cost function km C : R R, Note: w, y, and T are exogenously given. C( w, y) min w x ( x, y) T x 23

24 Revenue function m Given output prices p R, and technology T, the maximum revenue obtainable with inputs x is given by the revenue function km R : R R, Here x, p, and T are taken as given. R( x, p) max p y ( x, y) T y 24

25 Profit function Given input and output prices the maximum profit is given by the profit function km : R R, xy, k m w R, p R, ( w, p) max p y w x ( x, y) T Note: prices p and w are exogenously given, quantities y and x are optimized endogenously. 25

26 Next time Wed 23 March Mathematical programming 26

7) Important properties of functions: homogeneity, homotheticity, convexity and quasi-convexity

7) Important properties of functions: homogeneity, homotheticity, convexity and quasi-convexity 30C00300 Mathematical Methods for Economists (6 cr) 7) Important properties of functions: homogeneity, homotheticity, convexity and quasi-convexity Abolfazl Keshvari Ph.D. Aalto University School of Business

More information

Chapter 13. Convex and Concave. Josef Leydold Mathematical Methods WS 2018/19 13 Convex and Concave 1 / 44

Chapter 13. Convex and Concave. Josef Leydold Mathematical Methods WS 2018/19 13 Convex and Concave 1 / 44 Chapter 13 Convex and Concave Josef Leydold Mathematical Methods WS 2018/19 13 Convex and Concave 1 / 44 Monotone Function Function f is called monotonically increasing, if x 1 x 2 f (x 1 ) f (x 2 ) It

More information

Tvestlanka Karagyozova University of Connecticut

Tvestlanka Karagyozova University of Connecticut September, 005 CALCULUS REVIEW Tvestlanka Karagyozova University of Connecticut. FUNCTIONS.. Definition: A function f is a rule that associates each value of one variable with one and only one value of

More information

Monotone Function. Function f is called monotonically increasing, if. x 1 x 2 f (x 1 ) f (x 2 ) x 1 < x 2 f (x 1 ) < f (x 2 ) x 1 x 2

Monotone Function. Function f is called monotonically increasing, if. x 1 x 2 f (x 1 ) f (x 2 ) x 1 < x 2 f (x 1 ) < f (x 2 ) x 1 x 2 Monotone Function Function f is called monotonically increasing, if Chapter 3 x x 2 f (x ) f (x 2 ) It is called strictly monotonically increasing, if f (x 2) f (x ) Convex and Concave x < x 2 f (x )

More information

Multivariate calculus

Multivariate calculus Multivariate calculus Lecture note 5 Outline 1. Multivariate functions in Euclidean space 2. Continuity 3. Multivariate differentiation 4. Differentiability 5. Higher order derivatives 6. Implicit functions

More information

Mathematics for Economics ECON MA/MSSc in Economics-2017/2018. Dr. W. M. Semasinghe Senior Lecturer Department of Economics

Mathematics for Economics ECON MA/MSSc in Economics-2017/2018. Dr. W. M. Semasinghe Senior Lecturer Department of Economics Mathematics for Economics ECON 53035 MA/MSSc in Economics-2017/2018 Dr. W. M. Semasinghe Senior Lecturer Department of Economics MATHEMATICS AND STATISTICS LERNING OUTCOMES: By the end of this course unit

More information

System of Linear Equations. Slide for MA1203 Business Mathematics II Week 1 & 2

System of Linear Equations. Slide for MA1203 Business Mathematics II Week 1 & 2 System of Linear Equations Slide for MA1203 Business Mathematics II Week 1 & 2 Function A manufacturer would like to know how his company s profit is related to its production level. How does one quantity

More information

Functions. A function is a rule that gives exactly one output number to each input number.

Functions. A function is a rule that gives exactly one output number to each input number. Functions A function is a rule that gives exactly one output number to each input number. Why it is important to us? The set of all input numbers to which the rule applies is called the domain of the function.

More information

SECTION 5.1: Polynomials

SECTION 5.1: Polynomials 1 SECTION 5.1: Polynomials Functions Definitions: Function, Independent Variable, Dependent Variable, Domain, and Range A function is a rule that assigns to each input value x exactly output value y =

More information

Functions of One Variable

Functions of One Variable Functions of One Variable Mathematical Economics Vilen Lipatov Fall 2014 Outline Functions of one real variable Graphs Linear functions Polynomials, powers and exponentials Reading: Sydsaeter and Hammond,

More information

Mathematical Economics: Lecture 16

Mathematical Economics: Lecture 16 Mathematical Economics: Lecture 16 Yu Ren WISE, Xiamen University November 26, 2012 Outline 1 Chapter 21: Concave and Quasiconcave Functions New Section Chapter 21: Concave and Quasiconcave Functions Concave

More information

Math Review ECON 300: Spring 2014 Benjamin A. Jones MATH/CALCULUS REVIEW

Math Review ECON 300: Spring 2014 Benjamin A. Jones MATH/CALCULUS REVIEW MATH/CALCULUS REVIEW SLOPE, INTERCEPT, and GRAPHS REVIEW (adapted from Paul s Online Math Notes) Let s start with some basic review material to make sure everybody is on the same page. The slope of a line

More information

DCDM BUSINESS SCHOOL FACULTY OF MANAGEMENT ECONOMIC TECHNIQUES 102 LECTURE 3 NON-LINEAR FUNCTIONS

DCDM BUSINESS SCHOOL FACULTY OF MANAGEMENT ECONOMIC TECHNIQUES 102 LECTURE 3 NON-LINEAR FUNCTIONS DCDM BUSINESS SCHOOL FACULTY OF MANAGEMENT ECONOMIC TECHNIQUES 10 LECTURE NON-LINEAR FUNCTIONS 0. Preliminaries The following functions will be discussed briefly first: Quadratic functions and their solutions

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

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

Econ Slides from Lecture 10

Econ Slides from Lecture 10 Econ 205 Sobel Econ 205 - Slides from Lecture 10 Joel Sobel September 2, 2010 Example Find the tangent plane to {x x 1 x 2 x 2 3 = 6} R3 at x = (2, 5, 2). If you let f (x) = x 1 x 2 x3 2, then this is

More information

Lecture # 1 - Introduction

Lecture # 1 - Introduction Lecture # 1 - Introduction Mathematical vs. Nonmathematical Economics Mathematical Economics is an approach to economic analysis Purpose of any approach: derive a set of conclusions or theorems Di erences:

More information

2 Functions and Their

2 Functions and Their CHAPTER Functions and Their Applications Chapter Outline Introduction The Concept of a Function Types of Functions Roots (Zeros) of a Function Some Useful Functions in Business and Economics Equilibrium

More information

Functions. Paul Schrimpf. October 9, UBC Economics 526. Functions. Paul Schrimpf. Definition and examples. Special types of functions

Functions. Paul Schrimpf. October 9, UBC Economics 526. Functions. Paul Schrimpf. Definition and examples. Special types of functions of Functions UBC Economics 526 October 9, 2013 of 1. 2. of 3.. 4 of Functions UBC Economics 526 October 9, 2013 of Section 1 Functions of A function from a set A to a set B is a rule that assigns to each

More information

Economics 203: Intermediate Microeconomics. Calculus Review. A function f, is a rule assigning a value y for each value x.

Economics 203: Intermediate Microeconomics. Calculus Review. A function f, is a rule assigning a value y for each value x. Economics 203: Intermediate Microeconomics Calculus Review Functions, Graphs and Coordinates Econ 203 Calculus Review p. 1 Functions: A function f, is a rule assigning a value y for each value x. The following

More information

Midterm Study Guide and Practice Problems

Midterm Study Guide and Practice Problems Midterm Study Guide and Practice Problems Coverage of the midterm: Sections 10.1-10.7, 11.2-11.6 Sections or topics NOT on the midterm: Section 11.1 (The constant e and continuous compound interest, Section

More information

MAT1300 Final Review. Pieter Hofstra. December 4, 2009

MAT1300 Final Review. Pieter Hofstra. December 4, 2009 December 4, 2009 Sections from the book to study (8th Edition) Chapter 0: 0.1: Real line and Order 0.2: Absolute Value and Distance 0.3: Exponents and Radicals 0.4: Factoring Polynomials (you may omit

More information

LECTURE NOTES ON MICROECONOMICS

LECTURE NOTES ON MICROECONOMICS LECTURE NOTES ON MICROECONOMICS ANALYZING MARKETS WITH BASIC CALCULUS William M. Boal Part : Mathematical tools Chapter : Introduction to multivariate calculus But those skilled in mathematical analysis

More information

Microeconomic Analysis

Microeconomic Analysis Microeconomic Analysis Seminar 1 Marco Pelliccia (mp63@soas.ac.uk, Room 474) SOAS, 2014 Basics of Preference Relations Assume that our consumer chooses among L commodities and that the commodity space

More information

Study Skills in Mathematics. Edited by D. Burkhardt and D. Rutherford. Nottingham: Shell Centre for Mathematical Education (Revised edn 1981).

Study Skills in Mathematics. Edited by D. Burkhardt and D. Rutherford. Nottingham: Shell Centre for Mathematical Education (Revised edn 1981). Study Skills in Mathematics. Edited by D. Burkhardt and D. Rutherford. Nottingham: Shell Centre for Mathematical Education (Revised edn 1981). (Copies are available from the Shell Centre for Mathematical

More information

MATHEMATICS FOR ECONOMISTS. Course Convener. Contact: Office-Hours: X and Y. Teaching Assistant ATIYEH YEGANLOO

MATHEMATICS FOR ECONOMISTS. Course Convener. Contact: Office-Hours: X and Y. Teaching Assistant ATIYEH YEGANLOO INTRODUCTION TO QUANTITATIVE METHODS IN ECONOMICS MATHEMATICS FOR ECONOMISTS Course Convener DR. ALESSIA ISOPI Contact: alessia.isopi@manchester.ac.uk Office-Hours: X and Y Teaching Assistant ATIYEH YEGANLOO

More information

2.6 Logarithmic Functions. Inverse Functions. Question: What is the relationship between f(x) = x 2 and g(x) = x?

2.6 Logarithmic Functions. Inverse Functions. Question: What is the relationship between f(x) = x 2 and g(x) = x? Inverse Functions Question: What is the relationship between f(x) = x 3 and g(x) = 3 x? Question: What is the relationship between f(x) = x 2 and g(x) = x? Definition (One-to-One Function) A function f

More information

MATH 236 ELAC FALL 2017 CA 9 NAME: SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question.

MATH 236 ELAC FALL 2017 CA 9 NAME: SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. MATH 236 ELAC FALL 207 CA 9 NAME: SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. ) 27 p 3 27 p 3 ) 2) If 9 t 3 4t 9-2t = 3, find t. 2) Solve the equation.

More information

Maths for Economists Tutorial 0: Revision of Basic Concepts

Maths for Economists Tutorial 0: Revision of Basic Concepts Maths for Economists Tutorial 0: Revision of Basic Concepts ECO42F 20 In the following paired statements, let p be the first statement and q the second. Indicate for each case whether q is necessary or

More information

Lecture 12. Functional form

Lecture 12. Functional form Lecture 12. Functional form Multiple linear regression model β1 + β2 2 + L+ β K K + u Interpretation of regression coefficient k Change in if k is changed by 1 unit and the other variables are held constant.

More information

Mathematical Economics (ECON 471) Lecture 3 Calculus of Several Variables & Implicit Functions

Mathematical Economics (ECON 471) Lecture 3 Calculus of Several Variables & Implicit Functions Mathematical Economics (ECON 471) Lecture 3 Calculus of Several Variables & Implicit Functions Teng Wah Leo 1 Calculus of Several Variables 11 Functions Mapping between Euclidean Spaces Where as in univariate

More information

ECON2285: Mathematical Economics

ECON2285: Mathematical Economics ECON2285: Mathematical Economics Yulei Luo Economics, HKU September 17, 2018 Luo, Y. (Economics, HKU) ME September 17, 2018 1 / 46 Static Optimization and Extreme Values In this topic, we will study goal

More information

EC /11. Math for Microeconomics September Course, Part II Problem Set 1 with Solutions. a11 a 12. x 2

EC /11. Math for Microeconomics September Course, Part II Problem Set 1 with Solutions. a11 a 12. x 2 LONDON SCHOOL OF ECONOMICS Professor Leonardo Felli Department of Economics S.478; x7525 EC400 2010/11 Math for Microeconomics September Course, Part II Problem Set 1 with Solutions 1. Show that the general

More information

f( x) f( y). Functions which are not one-to-one are often called many-to-one. Take the domain and the range to both be all the real numbers:

f( x) f( y). Functions which are not one-to-one are often called many-to-one. Take the domain and the range to both be all the real numbers: I. UNIVARIATE CALCULUS Given two sets X and Y, a function is a rule that associates each member of X with exactly one member of Y. That is, some x goes in, and some y comes out. These notations are used

More information

1 Theory of the Firm: Topics and Exercises

1 Theory of the Firm: Topics and Exercises 1 Theory of the Firm: Topics and Exercises Firms maximize profits, i.e. the difference between revenues and costs, subject to technological and other, here not considered) constraints. 1.1 Technology Technology

More information

EconS 301. Math Review. Math Concepts

EconS 301. Math Review. Math Concepts EconS 301 Math Review Math Concepts Functions: Functions describe the relationship between input variables and outputs y f x where x is some input and y is some output. Example: x could number of Bananas

More information

Review of Optimization Methods

Review of Optimization Methods Review of Optimization Methods Prof. Manuela Pedio 20550 Quantitative Methods for Finance August 2018 Outline of the Course Lectures 1 and 2 (3 hours, in class): Linear and non-linear functions on Limits,

More information

CHAPTER 4: HIGHER ORDER DERIVATIVES. Likewise, we may define the higher order derivatives. f(x, y, z) = xy 2 + e zx. y = 2xy.

CHAPTER 4: HIGHER ORDER DERIVATIVES. Likewise, we may define the higher order derivatives. f(x, y, z) = xy 2 + e zx. y = 2xy. April 15, 2009 CHAPTER 4: HIGHER ORDER DERIVATIVES In this chapter D denotes an open subset of R n. 1. Introduction Definition 1.1. Given a function f : D R we define the second partial derivatives as

More information

1. Algebra and Functions

1. Algebra and Functions 1. Algebra and Functions 1.1.1 Equations and Inequalities 1.1.2 The Quadratic Formula 1.1.3 Exponentials and Logarithms 1.2 Introduction to Functions 1.3 Domain and Range 1.4.1 Graphing Functions 1.4.2

More information

EC /11. Math for Microeconomics September Course, Part II Lecture Notes. Course Outline

EC /11. Math for Microeconomics September Course, Part II Lecture Notes. Course Outline LONDON SCHOOL OF ECONOMICS Professor Leonardo Felli Department of Economics S.478; x7525 EC400 20010/11 Math for Microeconomics September Course, Part II Lecture Notes Course Outline Lecture 1: Tools for

More information

REVIEW OF MATHEMATICAL CONCEPTS

REVIEW OF MATHEMATICAL CONCEPTS REVIEW OF MATHEMATICAL CONCEPTS Variables, functions and slopes: A Variable is any entity that can take different values such as: price, output, revenue, cost, etc. In economics we try to 1. Identify the

More information

Econ 11: Intermediate Microeconomics. Preliminaries

Econ 11: Intermediate Microeconomics. Preliminaries Professor Jay Bhattacharya Spring 1 Econ 11: Intermediate Microeconomics Professor Jay Bhattacharya Office: Phone: (31) 393-411 x6396 email: jay@rand.org Office Hours Tuesday, 11am-1:3pm or by appointment

More information

DCDM BUSINESS SCHOOL FACULTY OF MANAGEMENT ECONOMIC TECHNIQUES 102 LECTURE 4 DIFFERENTIATION

DCDM BUSINESS SCHOOL FACULTY OF MANAGEMENT ECONOMIC TECHNIQUES 102 LECTURE 4 DIFFERENTIATION DCDM BUSINESS SCHOOL FACULTY OF MANAGEMENT ECONOMIC TECHNIUES 1 LECTURE 4 DIFFERENTIATION 1 Differentiation Managers are often concerned with the way that a variable changes over time Prices, for example,

More information

Final Exam Study Guide

Final Exam Study Guide Final Exam Study Guide Final Exam Coverage: Sections 10.1-10.2, 10.4-10.5, 10.7, 11.2-11.4, 12.1-12.6, 13.1-13.2, 13.4-13.5, and 14.1 Sections/topics NOT on the exam: Sections 10.3 (Continuity, it definition

More information

( )! ±" and g( x)! ±" ], or ( )! 0 ] as x! c, x! c, x! c, or x! ±". If f!(x) g!(x) "!,

( )! ± and g( x)! ± ], or ( )! 0 ] as x! c, x! c, x! c, or x! ±. If f!(x) g!(x) !, IV. MORE CALCULUS There are some miscellaneous calculus topics to cover today. Though limits have come up a couple of times, I assumed prior knowledge, or at least that the idea makes sense. Limits are

More information

Advanced Microeconomics

Advanced Microeconomics Advanced Microeconomics Leonardo Felli EC441: Room D.106, Z.332, D.109 Lecture 8 bis: 24 November 2004 Monopoly Consider now the pricing behavior of a profit maximizing monopolist: a firm that is the only

More information

5.1 - Polynomials. Ex: Let k(x) = x 2 +2x+1. Find (and completely simplify) the following: (a) k(1) (b) k( 2) (c) k(a)

5.1 - Polynomials. Ex: Let k(x) = x 2 +2x+1. Find (and completely simplify) the following: (a) k(1) (b) k( 2) (c) k(a) c Kathryn Bollinger, March 15, 2017 1 5.1 - Polynomials Def: A function is a rule (process) that assigns to each element in the domain (the set of independent variables, x) ONE AND ONLY ONE element in

More information

Optimization Techniques

Optimization Techniques Optimization Techniques Methods for maximizing or minimizing an objective function Examples Consumers maximize utility by purchasing an optimal combination of goods Firms maximize profit by producing and

More information

Microeconomics II. MOSEC, LUISS Guido Carli Problem Set n 3

Microeconomics II. MOSEC, LUISS Guido Carli Problem Set n 3 Microeconomics II MOSEC, LUISS Guido Carli Problem Set n 3 Problem 1 Consider an economy 1 1, with one firm (or technology and one consumer (firm owner, as in the textbook (MWG section 15.C. The set of

More information

Learning Module 1 - Basic Algebra Review (Appendix A)

Learning Module 1 - Basic Algebra Review (Appendix A) Learning Module 1 - Basic Algebra Review (Appendix A) Element 1 Real Numbers and Operations on Polynomials (A.1, A.2) Use the properties of real numbers and work with subsets of the real numbers Determine

More information

The Interpretation of λ

The Interpretation of λ The Interpretation of λ Lecture 49 Section 7.5 Robb T. Koether Hampden-Sydney College Wed, Apr 26, 2017 Robb T. Koether (Hampden-Sydney College) The Interpretation of λ Wed, Apr 26, 2017 1 / 6 Objectives

More information

ELEMENTARY MATHEMATICS FOR ECONOMICS

ELEMENTARY MATHEMATICS FOR ECONOMICS ELEMENTARY MATHEMATICS FOR ECONOMICS Catering the need of Second year B.A./B.Sc. Students of Economics (Major) Third Semester of Guwahati and other Indian Universities. 2nd Semester R.C. Joshi M.A., M.Phil.

More information

Partial Differentiation

Partial Differentiation CHAPTER 7 Partial Differentiation From the previous two chapters we know how to differentiate functions of one variable But many functions in economics depend on several variables: output depends on both

More information

Week 4: Calculus and Optimization (Jehle and Reny, Chapter A2)

Week 4: Calculus and Optimization (Jehle and Reny, Chapter A2) Week 4: Calculus and Optimization (Jehle and Reny, Chapter A2) Tsun-Feng Chiang *School of Economics, Henan University, Kaifeng, China September 27, 2015 Microeconomic Theory Week 4: Calculus and Optimization

More information

Session: 09 Aug 2016 (Tue), 10:00am 1:00pm; 10 Aug 2016 (Wed), 10:00am 1:00pm &3:00pm 5:00pm (Revision)

Session: 09 Aug 2016 (Tue), 10:00am 1:00pm; 10 Aug 2016 (Wed), 10:00am 1:00pm &3:00pm 5:00pm (Revision) Seminars on Mathematics for Economics and Finance Topic 2: Topics in multivariate calculus, concavity and convexity 1 Session: 09 Aug 2016 (Tue), 10:00am 1:00pm; 10 Aug 2016 (Wed), 10:00am 1:00pm &3:00pm

More information

ARE211, Fall 2005 CONTENTS. 5. Characteristics of Functions Surjective, Injective and Bijective functions. 5.2.

ARE211, Fall 2005 CONTENTS. 5. Characteristics of Functions Surjective, Injective and Bijective functions. 5.2. ARE211, Fall 2005 LECTURE #18: THU, NOV 3, 2005 PRINT DATE: NOVEMBER 22, 2005 (COMPSTAT2) CONTENTS 5. Characteristics of Functions. 1 5.1. Surjective, Injective and Bijective functions 1 5.2. Homotheticity

More information

Quadratic function and equations Quadratic function/equations, supply, demand, market equilibrium

Quadratic function and equations Quadratic function/equations, supply, demand, market equilibrium Exercises 8 Quadratic function and equations Quadratic function/equations, supply, demand, market equilibrium Objectives - know and understand the relation between a quadratic function and a quadratic

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

Structural Properties of Utility Functions Walrasian Demand

Structural Properties of Utility Functions Walrasian Demand Structural Properties of Utility Functions Walrasian Demand Econ 2100 Fall 2017 Lecture 4, September 7 Outline 1 Structural Properties of Utility Functions 1 Local Non Satiation 2 Convexity 3 Quasi-linearity

More information

This appendix provides a short review of a number of concepts from algebra

This appendix provides a short review of a number of concepts from algebra This appendix provides a short review of a number of concepts from algebra and geometry, as well as an introduction to differential calculus and Excel from a user s perspective. Almost all college students

More information

The Consumer, the Firm, and an Economy

The Consumer, the Firm, and an Economy Andrew McLennan October 28, 2014 Economics 7250 Advanced Mathematical Techniques for Economics Second Semester 2014 Lecture 15 The Consumer, the Firm, and an Economy I. Introduction A. The material discussed

More information

x x 1 x 2 + x 2 1 > 0. HW5. Text defines:

x x 1 x 2 + x 2 1 > 0. HW5. Text defines: Lecture 15: Last time: MVT. Special case: Rolle s Theorem (when f(a) = f(b)). Recall: Defn: Let f be defined on an interval I. f is increasing (or strictly increasing) if whenever x 1, x 2 I and x 2 >

More information

Suppose that f is continuous on [a, b] and differentiable on (a, b). Then

Suppose that f is continuous on [a, b] and differentiable on (a, b). Then Lectures 1/18 Derivatives and Graphs When we have a picture of the graph of a function f(x), we can make a picture of the derivative f (x) using the slopes of the tangents to the graph of f. In this section

More information

Functions. Given a function f: A B:

Functions. Given a function f: A B: Functions Given a function f: A B: We say f maps A to B or f is a mapping from A to B. A is called the domain of f. B is called the codomain of f. If f(a) = b, then b is called the image of a under f.

More information

1 Objective. 2 Constrained optimization. 2.1 Utility maximization. Dieter Balkenborg Department of Economics

1 Objective. 2 Constrained optimization. 2.1 Utility maximization. Dieter Balkenborg Department of Economics BEE020 { Basic Mathematical Economics Week 2, Lecture Thursday 2.0.0 Constrained optimization Dieter Balkenborg Department of Economics University of Exeter Objective We give the \ rst order conditions"

More information

Chapter 4. Section Derivatives of Exponential and Logarithmic Functions

Chapter 4. Section Derivatives of Exponential and Logarithmic Functions Chapter 4 Section 4.2 - Derivatives of Exponential and Logarithmic Functions Objectives: The student will be able to calculate the derivative of e x and of lnx. The student will be able to compute the

More information

PRESENTATION OF MATHEMATICAL ECONOMICS SYLLABUS FOR ECONOMICS HONOURS UNDER CBCS, UNIVERSITY OF CALCUTTA

PRESENTATION OF MATHEMATICAL ECONOMICS SYLLABUS FOR ECONOMICS HONOURS UNDER CBCS, UNIVERSITY OF CALCUTTA PRESENTATION OF MATHEMATICAL ECONOMICS SYLLABUS FOR ECONOMICS HONOURS UNDER CBCS, UNIVERSITY OF CALCUTTA Kausik Gupta Professor of Economics, University of Calcutta Introductory Remarks The paper/course

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

MTAEA Implicit Functions

MTAEA Implicit Functions School of Economics, Australian National University February 12, 2010 Implicit Functions and Their Derivatives Up till now we have only worked with functions in which the endogenous variables are explicit

More information

STUDY MATERIALS. (The content of the study material is the same as that of Chapter I of Mathematics for Economic Analysis II of 2011 Admn.

STUDY MATERIALS. (The content of the study material is the same as that of Chapter I of Mathematics for Economic Analysis II of 2011 Admn. STUDY MATERIALS MATHEMATICAL TOOLS FOR ECONOMICS III (The content of the study material is the same as that of Chapter I of Mathematics for Economic Analysis II of 2011 Admn.) & MATHEMATICAL TOOLS FOR

More information

One Variable Calculus. Izmir University of Economics Econ 533: Quantitative Methods and Econometrics

One Variable Calculus. Izmir University of Economics Econ 533: Quantitative Methods and Econometrics Izmir University of Economics Econ 533: Quantitative Methods and Econometrics One Variable Calculus Introduction Finding the best way to do a specic task involves what is called an optimization problem.

More information

School of Business. Blank Page

School of Business. Blank Page Maxima and Minima 9 This unit is designed to introduce the learners to the basic concepts associated with Optimization. The readers will learn about different types of functions that are closely related

More information

REVIEW OF MATHEMATICAL CONCEPTS

REVIEW OF MATHEMATICAL CONCEPTS REVIEW OF MATHEMATICAL CONCEPTS 1 Variables, functions and slopes A variable is any entity that can take different values such as: price, output, revenue, cost, etc. In economics we try to 1. Identify

More information

ECON5110: Microeconomics

ECON5110: Microeconomics ECON5110: Microeconomics Lecture 2: Sept, 2017 Contents 1 Overview 1 2 Production Technology 2 3 Profit Maximization 5 4 Properties of Profit Maximization 7 5 Cost Minimization 10 6 Duality 12 1 Overview

More information

In the Name of God. Sharif University of Technology. Microeconomics 1. Graduate School of Management and Economics. Dr. S.

In the Name of God. Sharif University of Technology. Microeconomics 1. Graduate School of Management and Economics. Dr. S. In the Name of God Sharif University of Technology Graduate School of Management and Economics Microeconomics 1 44715 (1396-97 1 st term) - Group 1 Dr. S. Farshad Fatemi Chapter 10: Competitive Markets

More information

z = f (x; y) f (x ; y ) f (x; y) f (x; y )

z = f (x; y) f (x ; y ) f (x; y) f (x; y ) BEEM0 Optimization Techiniques for Economists Lecture Week 4 Dieter Balkenborg Departments of Economics University of Exeter Since the fabric of the universe is most perfect, and is the work of a most

More information

First Welfare Theorem

First Welfare Theorem First Welfare Theorem Econ 2100 Fall 2017 Lecture 17, October 31 Outline 1 First Welfare Theorem 2 Preliminaries to Second Welfare Theorem Past Definitions A feasible allocation (ˆx, ŷ) is Pareto optimal

More information

Exam A. Exam 3. (e) Two critical points; one is a local maximum, the other a local minimum.

Exam A. Exam 3. (e) Two critical points; one is a local maximum, the other a local minimum. 1.(6 pts) The function f(x) = x 3 2x 2 has: Exam A Exam 3 (a) Two critical points; one is a local minimum, the other is neither a local maximum nor a local minimum. (b) Two critical points; one is a local

More information

Microeconomic theory focuses on a small number of concepts. The most fundamental concept is the notion of opportunity cost.

Microeconomic theory focuses on a small number of concepts. The most fundamental concept is the notion of opportunity cost. Microeconomic theory focuses on a small number of concepts. The most fundamental concept is the notion of opportunity cost. Opportunity Cost (or "Wow, I coulda had a V8!") The underlying idea is derived

More information

Tutorial Code and TA (circle one): T1 Charles Tsang T2 Stephen Tang

Tutorial Code and TA (circle one): T1 Charles Tsang T2 Stephen Tang Department of Computer & Mathematical Sciences University of Toronto at Scarborough MATA33H3Y: Calculus for Management II Final Examination August, 213 Examiner: A. Chow Surname (print): Given Name(s)

More information

Index. Cambridge University Press An Introduction to Mathematics for Economics Akihito Asano. Index.

Index. Cambridge University Press An Introduction to Mathematics for Economics Akihito Asano. Index. , see Q.E.D. ln, see natural logarithmic function e, see Euler s e i, see imaginary number log 10, see common logarithm ceteris paribus, 4 quod erat demonstrandum, see Q.E.D. reductio ad absurdum, see

More information

Math 2 Unit 3 Quadratic Functions: Working with Equations

Math 2 Unit 3 Quadratic Functions: Working with Equations Approximate Time Frame: 4 5 Weeks Connections to Previous Learning: In the previous unit, students learned to represent quadratic functions algebraically, in tables, and graphically and to analyze these

More information

Chapter 2. Functions and Graphs. Section 1 Functions

Chapter 2. Functions and Graphs. Section 1 Functions Chapter 2 Functions and Graphs Section 1 - Functions Section 2 - Elementary Functions: Graphs & Transformations Section 3 - Quadratic Functions Section 4 - Polynomial & Rational Functions Section 5 - Exponential

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

MATH 614 Dynamical Systems and Chaos Lecture 3: Classification of fixed points.

MATH 614 Dynamical Systems and Chaos Lecture 3: Classification of fixed points. MATH 614 Dynamical Systems and Chaos Lecture 3: Classification of fixed points. Periodic points Definition. A point x X is called a fixed point of a map f : X X if f(x) = x. A point x X is called a periodic

More information

f(x) = 2x + 5 3x 1. f 1 (x) = x + 5 3x 2. f(x) = 102x x

f(x) = 2x + 5 3x 1. f 1 (x) = x + 5 3x 2. f(x) = 102x x 1. Let f(x) = x 3 + 7x 2 x 2. Use the fact that f( 1) = 0 to factor f completely. (2x-1)(3x+2)(x+1). 2. Find x if log 2 x = 5. x = 1/32 3. Find the vertex of the parabola given by f(x) = 2x 2 + 3x 4. (Give

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

Intermediate Algebra. 7.6 Quadratic Inequalities. Name. Problem Set 7.6 Solutions to Every Odd-Numbered Problem. Date

Intermediate Algebra. 7.6 Quadratic Inequalities. Name. Problem Set 7.6 Solutions to Every Odd-Numbered Problem. Date 7.6 Quadratic Inequalities 1. Factoring the inequality: x 2 + x! 6 > 0 ( x + 3) ( x! 2) > 0 The solution set is x 2. Graphing the solution set: 3. Factoring the inequality: x 2! x! 12 " 0 (

More information

3.1 Derivative Formulas for Powers and Polynomials

3.1 Derivative Formulas for Powers and Polynomials 3.1 Derivative Formulas for Powers and Polynomials First, recall that a derivative is a function. We worked very hard in 2.2 to interpret the derivative of a function visually. We made the link, in Ex.

More information

Lakehead University ECON 4117/5111 Mathematical Economics Fall 2002

Lakehead University ECON 4117/5111 Mathematical Economics Fall 2002 Test 1 September 20, 2002 1. Determine whether each of the following is a statement or not (answer yes or no): (a) Some sentences can be labelled true and false. (b) All students should study mathematics.

More information

Nonlinear Programming (NLP)

Nonlinear Programming (NLP) Natalia Lazzati Mathematics for Economics (Part I) Note 6: Nonlinear Programming - Unconstrained Optimization Note 6 is based on de la Fuente (2000, Ch. 7), Madden (1986, Ch. 3 and 5) and Simon and Blume

More information

Chapter 4: Production Theory

Chapter 4: Production Theory Chapter 4: Production Theory Need to complete: Proposition 48, Proposition 52, Problem 4, Problem 5, Problem 6, Problem 7, Problem 10. In this chapter we study production theory in a commodity space. First,

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

3/1/2016. Intermediate Microeconomics W3211. Lecture 3: Preferences and Choice. Today s Aims. The Story So Far. A Short Diversion: Proofs

3/1/2016. Intermediate Microeconomics W3211. Lecture 3: Preferences and Choice. Today s Aims. The Story So Far. A Short Diversion: Proofs 1 Intermediate Microeconomics W3211 Lecture 3: Preferences and Choice Introduction Columbia University, Spring 2016 Mark Dean: mark.dean@columbia.edu 2 The Story So Far. 3 Today s Aims 4 So far, we have

More information

Math 110 Final Exam General Review. Edward Yu

Math 110 Final Exam General Review. Edward Yu Math 110 Final Exam General Review Edward Yu Da Game Plan Solving Limits Regular limits Indeterminate Form Approach Infinities One sided limits/discontinuity Derivatives Power Rule Product/Quotient Rule

More information

Week 10: Theory of the Firm (Jehle and Reny, Chapter 3)

Week 10: Theory of the Firm (Jehle and Reny, Chapter 3) Week 10: Theory of the Firm (Jehle and Reny, Chapter 3) Tsun-Feng Chiang* *School of Economics, Henan University, Kaifeng, China November 22, 2015 First Last (shortinst) Short title November 22, 2015 1

More information

Differentiation. 1. What is a Derivative? CHAPTER 5

Differentiation. 1. What is a Derivative? CHAPTER 5 CHAPTER 5 Differentiation Differentiation is a technique that enables us to find out how a function changes when its argument changes It is an essential tool in economics If you have done A-level maths,

More information

The Envelope Theorem

The Envelope Theorem The Envelope Theorem In an optimization problem we often want to know how the value of the objective function will change if one or more of the parameter values changes. Let s consider a simple example:

More information

Page Points Score Total: 100

Page Points Score Total: 100 Math 1130 Spring 2019 Sample Exam 1c 1/31/19 Name (Print): Username.#: Lecturer: Rec. Instructor: Rec. Time: This exam contains 8 pages (including this cover page) and 7 problems. Check to see if any pages

More information