Partial derivatives BUSINESS MATHEMATICS

Similar documents
Constrained optimization BUSINESS MATHEMATICS

Matrices BUSINESS MATHEMATICS

MATH 19520/51 Class 5

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:

Paris. Optimization. Philippe Bich (Paris 1 Panthéon-Sorbonne and PSE) Paris, Philippe Bich

g(t) = f(x 1 (t),..., x n (t)).

z = f (x; y) = x 3 3x 2 y x 2 3

Topic 7. Part I Partial Differentiation Part II Marginal Functions Part II Partial Elasticity Part III Total Differentiation Part IV Returns to scale

Constrained optimization.

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

Intermediate Macroeconomics, EC2201. L1: Economic growth I

Advanced Microeconomics

Introduction to systems of equations

LECTURE NOTES ON MICROECONOMICS

IOP2601. Some notes on basic mathematical calculations

Functions of Several Variables

SAMPLING, THE CLT, AND THE STANDARD ERROR. Business Statistics

Modelling Production

Partial Differentiation

Differentiation. 1. What is a Derivative? CHAPTER 5

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

5 Systems of Equations

Math 1314 Test 4 Review Lesson 16 Lesson Use Riemann sums with midpoints and 6 subdivisions to approximate the area between

MATH 19520/51 Class 4

Multiple Regression: Example

Differentiation - Quick Review From Calculus

Section 2.4: Add and Subtract Rational Expressions

(x x 0 ) 2 + (y y 0 ) 2 = ε 2, (2.11)

Multivariate calculus

Tutorial 3: Optimisation

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

Comparative Statics. Autumn 2018

14.3 Partial Derivatives

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

Sometimes the domains X and Z will be the same, so this might be written:

MATH 2554 (Calculus I)

Mathematical Economics: Lecture 9

BEE1024 Mathematics for Economists

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

14.30 Introduction to Statistical Methods in Economics Spring 2009

Main topics for the First Midterm Exam

Lecture 1: Introduction to IO Tom Holden

MULTIPLE REGRESSION ANALYSIS AND OTHER ISSUES. Business Statistics

Microeconomic Theory -1- Introduction

The Real Business Cycle Model

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

Math 1302 Notes 2. How many solutions? What type of solution in the real number system? What kind of equation is it?

Math 126 Enhanced 10.3 Series with positive terms The University of Kansas 1 / 12

Final Exam Advanced Mathematics for Economics and Finance

Math Exam 2, October 14, 2008

IE 5531 Midterm #2 Solutions

7.1 Functions of Two or More Variables

Assumption 5. The technology is represented by a production function, F : R 3 + R +, F (K t, N t, A t )

AN INTRODUCTION TO CURVILINEAR ORTHOGONAL COORDINATES

Content by Week Week of October 14 27

Mathematical Economics: Lecture 16

Business Mathematics. Lecture Note #13 Chapter 7-(1)

Definition: Absolute Value The absolute value of a number is the distance that the number is from zero. The absolute value of x is written x.

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

1. (4 % each, total 20 %) Answer each of the following. (No need to show your work for this problem). 3 n. n!? n=1

Practice Problems #1 Practice Problems #2

Econ 110: Introduction to Economic Theory. 8th Class 2/7/11

Math 131. The Derivative and the Tangent Line Problem Larson Section 2.1

MAT1300 Final Review. Pieter Hofstra. December 4, 2009

Chain Rule. MATH 311, Calculus III. J. Robert Buchanan. Spring Department of Mathematics

Section 13.3 Concavity and Curve Sketching. Dr. Abdulla Eid. College of Science. MATHS 104: Mathematics for Business II

A. Incorrect! Replacing is not a method for solving systems of equations.

Tangent Lines and Derivatives

Section 5.3: Linear Inequalities

Math 211 Business Calculus TEST 3. Question 1. Section 2.2. Second Derivative Test.

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

Math 116 Practice for Exam 2

Math 155 Prerequisite Review Handout

CES functions and Dixit-Stiglitz Formulation

CSC236 Week 11. Larry Zhang

Differentiation of x n.

Math 128 Midterm 2 Spring 2009

SEVERAL μs AND MEDIANS: MORE ISSUES. Business Statistics

Lecture 5: The neoclassical growth model

EconS Cost Structures

ECON 186 Class Notes: Derivatives and Differentials

ECON2285: Mathematical Economics

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

Integrals. D. DeTurck. January 1, University of Pennsylvania. D. DeTurck Math A: Integrals 1 / 61

The Consumer, the Firm, and an Economy

10/22/16. 1 Math HL - Santowski SKILLS REVIEW. Lesson 15 Graphs of Rational Functions. Lesson Objectives. (A) Rational Functions

ADVANCED MACRO TECHNIQUES Midterm Solutions

September Math Course: First Order Derivative

ECON 186 Class Notes: Optimization Part 2

a factors The exponential 0 is a special case. If b is any nonzero real number, then

Theory of the Firm. Production Technology

14.05: Section Handout #1 Solow Model

ECON Advanced Economic Theory-Microeconomics. Prof. W. M. Semasinghe

Problem Set 2. E. Charlie Nusbaum Econ 204A October 12, 2015

DRAFT - Math 101 Lecture Note - Dr. Said Algarni

Understanding Exponents Eric Rasmusen September 18, 2018

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

Math 163: Lecture notes

SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question.

Transcription:

Partial derivatives BUSINESS MATHEMATICS 1

CONTENTS Derivatives for functions of two variables Higher-order partial derivatives Derivatives for functions of many variables Old exam question Further study 2

DERIVATIVES FOR FUNCTIONS OF TWO VARIABLES Can we find the extreme values of a function g x, y of two variables x and y? Try g x, y = fails! g x, y = x 3 y + x 2 y 2 + x + y 2 3

DERIVATIVES FOR FUNCTIONS OF TWO VARIABLES Can we find the extreme values of a function g x, y of two variables x and y? g x, y = x 3 y + x 2 y 2 + x + y 2 Try g x, y = fails! Recall definition of derivative of a function f x of one variable: f x = df x dx = lim f x + h f x h 0 h Generalization to partial derivative of g x, y of 2 variables: g x, y = lim h 0 g x + h, y g x, y h 4

DERIVATIVES FOR FUNCTIONS OF TWO VARIABLES Differentiate g x, y = x 3 y + x 2 y 2 + x + y 2 with respect to x (and keeping y fixed) g = 3x2 y + 2xy 2 + 1 5

DERIVATIVES FOR FUNCTIONS OF TWO VARIABLES Differentiate g x, y = x 3 y + x 2 y 2 + x + y 2 with respect to x (and keeping y fixed) g = 3x2 y + 2xy 2 + 1 and with respect to y (and keeping x fixed) g y = x3 + 2x 2 y + 2y 6

DERIVATIVES FOR FUNCTIONS OF TWO VARIABLES Differentiate g x, y = x 3 y + x 2 y 2 + x + y 2 with respect to x (and keeping y fixed) g = 3x2 y + 2xy 2 + 1 and with respect to y (and keeping x fixed) g y = x3 + 2x 2 y + 2y Clearly, in this case g g y. Therefore, never write f for a function of two variables! 7

DERIVATIVES FOR FUNCTIONS OF TWO VARIABLES So we define the partial derivative of f with respect to x f x, y = lim h 0 f x + h, y f x, y h and similar with respect to y f x, y y = lim h 0 f x, y + h f x, y h 8

DERIVATIVES FOR FUNCTIONS OF TWO VARIABLES f x, y f x, y y 9

DERIVATIVES FOR FUNCTIONS OF TWO VARIABLES Alternative notations f, f x,y, f x, f 1, f x, f 1, x f, Not important to remember, but important to recognize so, basically a lot of choice, but never write df or f dx 10

DERIVATIVES FOR FUNCTIONS OF TWO VARIABLES The partial derivative in a point is a number: f x,y x,y = 2, 5 = 3 The partial derivative over a range of points is a function of x and y: f x,y = 2x + 3y 6 11

DERIVATIVES FOR FUNCTIONS OF TWO VARIABLES Example: Cobb-Douglas production function describing how a firm s output q depends on capital input (K) and labour input (L): q K, L = A K α L β where A, α, and β are positive constants. 12

DERIVATIVES FOR FUNCTIONS OF TWO VARIABLES Example: Cobb-Douglas production function describing how a firm s output q depends on capital input (K) and labour input (L): q K, L = A K α L β where A, α, and β are positive constants. Marginal productivity of capital q K = A α Kα 1 L β Note that when 0 < α < 1, q K diminishing marginal returns. is a decreasing function of K leading to 13

EXERCISE 1 Given is f x, y = x y. Find f and f y. 14

HIGHER-ORDER PARTIAL DERIVATIVES Recall the second derivative d dx df x dx = d2 f x dx 2 = f x Four possibilities for function g x, y : y y g g y g g y = 2 g 2 = 2 g y 2 = 2 g y = 2 g y 16

HIGHER-ORDER PARTIAL DERIVATIVES Recall the second derivative d dx df x dx = d2 f x dx 2 = f x Four possibilities for function g x, y : y y g g y g g y = 2 g 2 = 2 g y 2 = 2 g y = 2 g y so, never d2 g dx2 or g Alternative notations: 2 g g x,y, y y, g yx, g 21, g yx, g 21, xy g,. 17

HIGHER-ORDER PARTIAL DERIVATIVES Example: g x, y = x 3 y + x 2 y 2 + x + y 2 2 g 2 = 6xy + 2y2 2 g = y 2 2x2 + 2 2 g = y 3x2 + 4xy 2 g = y 3x2 + 4xy 18

HIGHER-ORDER PARTIAL DERIVATIVES Example: g x, y = x 3 y + x 2 y 2 + x + y 2 2 g 2 = 6xy + 2y2 2 g = y 2 2x2 + 2 2 g = y 3x2 + 4xy 2 g = y 3x2 + 4xy For almost all functions 2 g y = 2 g y and certainly for all functions we encounter in business and economics. 19

EXERCISE 2 Given is f x, y = 4x 3 y 2 3y 4 e 2x. Find 2 f y in x, y = 1,0. 20

HIGHER-ORDER PARTIAL DERIVATIVES Likewise, we can define third-order derivatives f x,y = 3 f 3 y y f x,y = 3 f y 2 How many are there? How many are different? 22

HIGHER-ORDER PARTIAL DERIVATIVES Likewise, we can define third-order derivatives f x,y = 3 f 3 y y f x,y = 3 f y 2 How many are there? How many are different? And even higher-order partial derivatives n f, n n f n 1 y,. 23

DERIVATIVES FOR FUNCTIONS OF MANY VARIABLES For functions f x 1, x 2, x 3,, x n partial derivatives we can form n first-order f, f,, 1 2 f n and many many second-order partial derivatives 24

EXERCISE 3 Given is g x = 1 σ n i=1 n x i. Find g 4. 25

OLD EXAM QUESTION 27 March 2015, Q1b 27

OLD EXAM QUESTION 22 October 2014, Q1h 28

FURTHER STUDY Sydsæter et al. 5/E 11.1-11.2 Tutorial exercises week 2 partial derivatives higher-order partial derivatives partial derivatives graphically 29