z = f (x; y) = x 3 3x 2 y x 2 3
|
|
- Maryann Hubbard
- 5 years ago
- Views:
Transcription
1 BEE Mathematics for Economists Week, ecture Thursday..7 Functions in two variables Dieter Balkenborg Department of Economics University of Exeter Objective This lecture has the purpose to make you familiar with functions in two variables. Partial di erentiation is the basic technique to analyze such functions. We will illustrate such functions using computer graphics. Of particular importance are level curves, which occur as indi erence curves or isoquants in economics. Marginal rates of substitution correspond to the slopes of tangents to such curves. The lecture should enable you to calculate partial derivatives and marginal rates of substitution. Functions in two variables A function z = f (x; y) or simply z (x; y) in two independent variables with one dependent variable assigns to each pair (x; y) of (decimal) numbers from a certain domain D in the two-dimensional plane a number z = f (x; y). x and y are hereby the independent variables and z is the dependent variable. The graph of f is the surface in -dimensional space consisting of all points (x; y; f (x; y)) with (x; y) in D. Example The cubic polynomial z = f (x; y) = x x y is de ned on the entire plane. It has the graph: x y 8 The vertical line is here the z-axis, the x- and the y- axis span a horizontal plane. Thus the height of the graph indicates the values of the function. ighter colours correspond to higher values of the function. For instance, f (; ) =, so the origin of the coordinate system (; ; ) belongs to the graph and is a peak. The function has a saddle point at (x; y) = (; ) where z = f (x; y) = 8 =. The two-dimensional plane consisting of all pairs of numbers (x; y) is usually denoted by IR.
2 Exercise Evaluate Could the information t with the graph? Example A production function like z = f (; ) z = f (; ) z = f (; ) z = f (; ) Q = p p = of a rm describes for each combination of capital ( ) and labour ( ) the total amount Q of output which the rm can produce with these inputs. The speci ed function has the graph: 8 Example Consider a rm with the above production function and assume that the rm is a price taker in the product market and in both factor markets. If P is the price of the commodity produced, r the interest rate (= the price of capital) and w the wage rate (= the price of labour) then the pro t of this rm is (; ) = P Q r w = P r w if it employs units of capital and units of labour. For the prices P =, r =, w = we obtain the function (; ) =
3 with the graph: One can show that pro ts is maximized for = = 8. The level curve of the function z = f (x; y) for the level c is the solution set to the equation f (x; y) = c where c is a given constant. Geometrically, a level curve is obtained by intersecting the graph of f with a horizontal plane z = c and then projecting into the (x; y)-plane. This is illustrated here for the cubic polynomial discussed above: y x y x In the case of a production function the level curves are called isoquants. An isoquant shows for a given output level capital-labour combinations which yield the same output. 8 Finally, the linear function z = x + y
4 has the graph and the level curves: y x y x The level curves of a linear function form a family of parallel lines. This can be seen algebraically as follows: For a given level c the level curve is given by c = x + y y = c x y = c x The level curves are therefore all lines with slope. They di er only in the intercept c. Hence they are all parallel lines. Exercise Describe the isoquant of the production function for the quantity Q = : Q = Exercise Describe the isoquant of the production function for the quantity Q = : Q = p Remark The exercises illustrate the following general principle: If h (z) is an increasing (or decreasing) function in one variable, then the composite function h (f (x; y)) has the same level curves as the given function f (x; y) : However, they correspond to di erent levels. Q = Q = p
5 Partial derivatives Exercise What is the derivative of z (x) = a x with respect to x when a is a given constant? Exercise What is the derivative of z (y) = y b with respect to y when b is a given constant? Consider now a function in two variables z = f (x; y). If we x y at a value y = y and vary only x we obtain a function in one variable z = F (x) = f (x; y ). The derivative of this function F (x) at x = x is called the partial derivative of f with respect to x and denoted jx=x ;y=y = df dx jx=x = df dx (x ). The partial jx=x ;y=y is de ned symmetrically. (Notation: d = dee, = = del ) We do not have to specify y numerically. To partially di erentiate in the direction of x it su ces to think of y and all expressions containing only y as exogenously xed constants. We can then use the familiar rules for di erentiating functions in one variable in order to Other common notations for partial or f x, f y. Example et = y x z (x; y) = y = y x Example et z = x + x y + y : Setting e.g. y = we obtain z = x + x + and jx=;y= = x + x = For xed, but arbitrary, y we obtain From now on I will often write dz dx jx=x special value of = x + xy instead of dz dx (x ) to denote the derivative evaluated at a
6 as follows: We can di erentiate the sum x + x y + y with respect to x term-by-term. Di erentiating x yields x, di erentiating x y yields xy because we think now of y as a constant and d(ax ) = ax holds for any constant a. Finally, the derivative of any dx constant term is zero, so the derivative of y with respect to x is zero. Similarly considering x as xed and y variable we = x y + x Example The and of a production function q = f are called the marginal product of capital and (respectively) labour. They describe approximately by how much output increases if the input of capital (respectively labour) is increased by a small unit. If one xes for the production function in Example capital input at = one obtains q = = which has, as a function in the one variable, the graph Q This graph is obtained from the graph of the function in two variables by intersecting the latter with a vertical plane parallel to -q-axes. 8 thus the and describe geometrically the slope of in the - and, respectively, the - direction. Notice that for any given level of capital there is diminishing productivity of labour: The more labour is used, the less is the increase in output when one more unit of labour is employed. Algebraically this can be veri ed = p = p > ;
7 the marginal product of labour is always positive. Di erentiating a second time we = p p < ; so the marginal product of labour is decreasing. Verify similarly that there is diminishing productivity of capital! Exercise Find the partial derivatives of z = x + x y y + x + y The tangent plane For a function y = f (x) in one variable the derivative df dx jx=x tangent to the graph of f through the point (x ; f (x )). at x is the slope of the x The tangent of f (x) = x at x =. This tangent is the graph of the linear function y = l (x) = f (x ) + df dx jx=x (x x ). This is so because l (x ) = f (x ) ; so the graph of l goes through the point (x ; f (x )). Moreover, df y = l (x) = f (x ) x + df x; dx jx=x dx jx=x so l (x) is indeed a linear function in x with intercept f (x ) df dx jx=x x and the right slope df dx jx=x. The graph of a function in one variable is a curve and its tangent is a line. By analogy, the graph of a function z = f (x; y) in two variables is a surface and its tangent at a point 7
8 (x ; y ) is a plane. Non-vertical planes are the graphs of linear functions z = ax + by + c. The tangent plane of the function z = f (x; y) in (x ; y ) is, correspondingly, the graph of the linear function z = l (x; y) = f (x ; y jx=x ;y=y (x x jx=x ;y=y (y y ) () since the graph of this linear function contains the point (x ; y ; f (x ; y )) and has the right slopes in the x- and y-directions. Example 7 This is the example shown in the above graph. The tangent plane of z = f (x; y) = p x + p y at the point (; ) is obtained as follows: We = p x = p y and jx=;y= = jx=;y= = : Since f (; ) = the tangent plane is the graph of the linear function z = l (x; y) = + (x ) + (y ) = + x + y Using the abbreviations dx = x x, dy = y y and dz = z z the formula for the tangent can be neatly rewritten as an expression which is called the total di erential. dz = dx + 8
9 The slope of level curves Suppose (x ; y ) is a point on the level curve f (x; y) = c. Then the slope of tangent to the level curve in this point in the x-y-plane is dy dx jx=x ;y=y = jx=x jx=x ;y=y provided =. This is known as the rule for implicit di erentiation: If jx=x ;y=y function y = y (x) is implicitly de ned by the equation f (x; y (x)) = c, then its derivative dy dx is given by the above formula. Example 8 A linear function has the partial curves have the slope = a z = ax + by + = b. According to the above formula its = a b. Indeed, its level curves are the solutions to the equations c = ax + by + c with some constant c. Solving the equation for y we obtain which is a linear function with slope y = a b x + c c b a. b Example 9 An isoquant of the production function Q = has according to the above formula the slope d = = = : in the point (; ). Indeed, an isoquant is the set of solutions to the equation q = Solving for we see that the isoquant is the graph of the function = q = q. for xed q. Di erentiation yields d d = q 9
10 and since (; ) is on the isoquant d d = = : d Economically, is the marginal rate of substitution of labour for capital: If labour d is reduced by one unit, how much more capital is (approximately) needed to produce the same output? Just reducing labour by one unit reduces output by the marginal product Each additional unit of capital produces the marginal capital more units. Therefore, if now capital input is changes @ = : Remark A quick way to memorize the formula () is to use the total di erential as follows: In order to stay on the level curve one must have dz = z z =, so hence or = dz = dy dy = dy @y : Remark The implicit function theorem states that if = for some jx=x ;y=y (x ; y ) on a level curve f (x; y) = c, then one can nd a function y = g (x) de ned near x = x such that the level curve is locally the graph of this function, i.e. one has f (x; g (x)) = c for x near x. Exercise 7 For the production function Q = p calculate the marginal rate of substitution for = and =. The chain rule Suppose that z = f (x; y) is a function in two variables x, y. Suppose that x depends on the variable t via x = g (t) and that y depends on the variable t via y = h (t). Then we can de ne the composite function in one variable z = F (t) = f (x (t) ; y (t)) which has t as the independent and z as the dependent variable. The derivative of this function, if it exists, is calculated as dz dt = dt + dt : Notice that this is just the total di erential divided by dt.
11 Example Suppose z = xy, x = t + t, y = t t: Then, according to the chain rule, dz dt = dt + dt = y t + + x (t ) = t t t + + (t ) t + t Since z = xy = (t + t) (t t) we get the same result using the product rule: dz dt = t + t t + t + t (t ).
BEE1024 Mathematics for Economists
BEE1024 Mathematics for Economists Dieter and Jack Rogers and Juliette Stephenson Department of Economics, University of Exeter February 1st 2007 1 Objective 2 Isoquants 3 Objective. The lecture should
More information1 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 informationz = 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 informationBEEM103 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 informationNonlinear 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 informationMAT1300 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 informationLecture 6: Contraction mapping, inverse and implicit function theorems
Lecture 6: Contraction mapping, inverse and implicit function theorems 1 The contraction mapping theorem De nition 11 Let X be a metric space, with metric d If f : X! X and if there is a number 2 (0; 1)
More informationModelling Production
Modelling Production David N. DeJong University of Pittsburgh Econ. 1540, Spring 2010 DND () Production Econ. 1540, Spring 2010 1 / 23 Introduction The production function is the foundation upon which
More informationChapter 4 Differentiation
Chapter 4 Differentiation 08 Section 4. The derivative of a function Practice Problems (a) (b) (c) 3 8 3 ( ) 4 3 5 4 ( ) 5 3 3 0 0 49 ( ) 50 Using a calculator, the values of the cube function, correct
More informationTutorial 2: Comparative Statics
Tutorial 2: Comparative Statics ECO42F 20 Derivatives and Rules of Differentiation For each of the functions below: (a) Find the difference quotient. (b) Find the derivative dx. (c) Find f (4) and f (3)..
More informationEconomics 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 informationNewton s Method and Linear Approximations
Newton s Method and Linear Approximations Newton s Method for finding roots Goal: Where is f (x) =0? f (x) =x 7 +3x 3 +7x 2 1 2-1 -0.5 0.5-2 Newton s Method for finding roots Goal: Where is f (x) =0? f
More informationImplicit Function Theorem: One Equation
Natalia Lazzati Mathematics for Economics (Part I) Note 3: The Implicit Function Theorem Note 3 is based on postol (975, h 3), de la Fuente (2, h5) and Simon and Blume (994, h 5) This note discusses the
More informationECON2285: 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 informationThe Table of Integrals (pages of the text) and the Formula Page may be used. They will be attached to the nal exam.
The Table of Integrals (pages 558-559 of the text) and the Formula Page may be used. They will be attached to the nal exam. 1. If f(x; y) =(xy +1) 2 p y 2 x 2,evaluatef( 2; 1). A. 1 B. 1 p 5 C. Not de
More informationECON0702: Mathematical Methods in Economics
ECON0702: Mathematical Methods in Economics Yulei Luo SEF of HKU January 14, 2009 Luo, Y. (SEF of HKU) MME January 14, 2009 1 / 44 Comparative Statics and The Concept of Derivative Comparative Statics
More informationTvestlanka 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 informationFunctions of Several Variables
Functions of Several Variables Partial Derivatives Philippe B Laval KSU March 21, 2012 Philippe B Laval (KSU) Functions of Several Variables March 21, 2012 1 / 19 Introduction In this section we extend
More informationLecture 1- The constrained optimization problem
Lecture 1- The constrained optimization problem The role of optimization in economic theory is important because we assume that individuals are rational. Why constrained optimization? the problem of scarcity.
More informationPartial derivatives BUSINESS MATHEMATICS
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
More informationGeometry Summer Assignment 2018
Geometry Summer Assignment 2018 The following packet contains topics and definitions that you will be required to know in order to succeed in Geometry this year. You are advised to be familiar with each
More informationSection 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 informationDIFFERENTIATION RULES
3 DIFFERENTIATION RULES DIFFERENTIATION RULES The functions that we have met so far can be described by expressing one variable explicitly in terms of another variable. y For example,, or y = x sin x,
More informationCW High School. Calculus/AP Calculus A
1. Algebra Essentials (25.00%) 1.1 I can apply the point-slope, slope-intercept, and general equations of lines to graph and write equations for linear functions. 4 Pro cient I can apply the point-slope,
More informationPartial 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 informationBEE1004 / BEE1005 UNIVERSITY OF EXETER FACULTY OF UNDERGRADUATE STUDIES SCHOOL OF BUSINESS AND ECONOMICS. January 2002
BEE / BEE5 UNIVERSITY OF EXETER FACULTY OF UNDERGRADUATE STUDIES SCHOOL OF BUSINESS AND ECONOMICS January Basic Mathematics for Economists Introduction to Mathematical Economics Duration : TWO HOURS Please
More informationFunctions. 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 informationLecture two. January 17, 2019
Lecture two January 17, 2019 We will learn how to solve rst-order linear equations in this lecture. Example 1. 1) Find all solutions satisfy the equation u x (x, y) = 0. 2) Find the solution if we know
More informationNewton s Method and Linear Approximations
Newton s Method and Linear Approximations Curves are tricky. Lines aren t. Newton s Method and Linear Approximations Newton s Method for finding roots Goal: Where is f (x) = 0? f (x) = x 7 + 3x 3 + 7x
More information2 Roots, peaks and troughs, in ection points
BEE1 { Basic Mathematical Economics Week 9, Lecture Wednesday.1. Discussing graphs of functions Dieter Balkenborg Department of Economics University of Exeter 1 Objective We show how the rst and the second
More informationa = (a 1; :::a i )
1 Pro t maximization Behavioral assumption: an optimal set of actions is characterized by the conditions: max R(a 1 ; a ; :::a n ) C(a 1 ; a ; :::a n ) a = (a 1; :::a n) @R(a ) @a i = @C(a ) @a i The rm
More informationMath 142 (Summer 2018) Business Calculus 5.8 Notes
Math 142 (Summer 2018) Business Calculus 5.8 Notes Implicit Differentiation and Related Rates Why? We have learned how to take derivatives of functions, and we have seen many applications of this. However
More informationFinal Exam Review Packet
1 Exam 1 Material Sections A.1, A.2 and A.6 were review material. There will not be specific questions focused on this material but you should know how to: Simplify functions with exponents. Factor quadratics
More informationFinal Exam Review Packet
1 Exam 1 Material Sections A.1, A.2 and A.6 were review material. There will not be specific questions focused on this material but you should know how to: Simplify functions with exponents. Factor quadratics
More information13 Implicit Differentiation
- 13 Implicit Differentiation This sections highlights the difference between explicit and implicit expressions, and focuses on the differentiation of the latter, which can be a very useful tool in mathematics.
More information6x 2 8x + 5 ) = 12x 8. f (x) ) = d (12x 8) = 12
AMS/ECON 11A Class Notes 11/6/17 UCSC *) Higher order derivatives Example. If f = x 3 x + 5x + 1, then f = 6x 8x + 5 Observation: f is also a differentiable function... d f ) = d 6x 8x + 5 ) = 1x 8 dx
More information1 Functions and Graphs
1 Functions and Graphs 1.1 Functions Cartesian Coordinate System A Cartesian or rectangular coordinate system is formed by the intersection of a horizontal real number line, usually called the x axis,
More informationMA202 Calculus III Fall, 2009 Laboratory Exploration 2: Gradients, Directional Derivatives, Stationary Points
MA0 Calculus III Fall, 009 Laboratory Exploration : Gradients, Directional Derivatives, Stationary Points Introduction: This lab deals with several topics from Chapter. Some of the problems should be done
More informationMTAEA 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 informationMath 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 information23. Implicit differentiation
23. 23.1. The equation y = x 2 + 3x + 1 expresses a relationship between the quantities x and y. If a value of x is given, then a corresponding value of y is determined. For instance, if x = 1, then y
More informationLecture # 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 informationComparative Statics. Autumn 2018
Comparative Statics Autumn 2018 What is comparative statics? Contents 1 What is comparative statics? 2 One variable functions Multiple variable functions Vector valued functions Differential and total
More informationMATH The Derivative as a Function - Section 3.2. The derivative of f is the function. f x h f x. f x lim
MATH 90 - The Derivative as a Function - Section 3.2 The derivative of f is the function f x lim h 0 f x h f x h for all x for which the limit exists. The notation f x is read "f prime of x". Note that
More informationLecture 1: Ricardian Theory of Trade
Lecture 1: Ricardian Theory of Trade Alfonso A. Irarrazabal University of Oslo September 25, 2007 Contents 1 Simple Ricardian Model 3 1.1 Preferences................................. 3 1.2 Technologies.................................
More informationThe Kuhn-Tucker Problem
Natalia Lazzati Mathematics for Economics (Part I) Note 8: Nonlinear Programming - The Kuhn-Tucker Problem Note 8 is based on de la Fuente (2000, Ch. 7) and Simon and Blume (1994, Ch. 18 and 19). The Kuhn-Tucker
More informationNotes on the Mussa-Rosen duopoly model
Notes on the Mussa-Rosen duopoly model Stephen Martin Faculty of Economics & Econometrics University of msterdam Roetersstraat 08 W msterdam The Netherlands March 000 Contents Demand. Firm...............................
More informationMath 2413 t2rsu14. Name: 06/06/ Find the derivative of the following function using the limiting process.
Name: 06/06/014 Math 413 trsu14 1. Find the derivative of the following function using the limiting process. f( x) = 4x + 5x. Find the derivative of the following function using the limiting process. f(
More informationthen the substitution z = ax + by + c reduces this equation to the separable one.
7 Substitutions II Some of the topics in this lecture are optional and will not be tested at the exams. However, for a curious student it should be useful to learn a few extra things about ordinary differential
More informationMicroeconomic Theory-I Washington State University Midterm Exam #1 - Answer key. Fall 2016
Microeconomic Theory-I Washington State University Midterm Exam # - Answer key Fall 06. [Checking properties of preference relations]. Consider the following preference relation de ned in the positive
More informationLecture 1: Systems of linear equations and their solutions
Lecture 1: Systems of linear equations and their solutions Course overview Topics to be covered this semester: Systems of linear equations and Gaussian elimination: Solving linear equations and applications
More informationEcon Review Set 2 - Answers
Econ 4808 Review Set 2 - Answers EQUILIBRIUM ANALYSIS 1. De ne the concept of equilibrium within the con nes of an economic model. Provide an example of an economic equilibrium. Economic models contain
More informationLecture 8: Basic convex analysis
Lecture 8: Basic convex analysis 1 Convex sets Both convex sets and functions have general importance in economic theory, not only in optimization. Given two points x; y 2 R n and 2 [0; 1]; the weighted
More informationNewton s Method and Linear Approximations 10/19/2011
Newton s Method and Linear Approximations 10/19/2011 Curves are tricky. Lines aren t. Newton s Method and Linear Approximations 10/19/2011 Newton s Method Goal: Where is f (x) =0? f (x) =x 7 +3x 3 +7x
More informationMathematics 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 informationMath 147 Exam II Practice Problems
Math 147 Exam II Practice Problems This review should not be used as your sole source for preparation for the exam. You should also re-work all examples given in lecture, all homework problems, all lab
More informationMidterm Exam 2. October 27, Time: 1 hour, 30 minutes. San Francisco State University ECON 715 Fall Name:
San Francisco State University Michael Bar ECON 75 Fall 206 Midterm Exam 2 October 27, 206 Time: hour, 30 minutes Name: Instructions:. One double-sided sheet with any content is allowed. 2. Calculators
More informationSection 3.5: Implicit Differentiation
Section 3.5: Implicit Differentiation In the previous sections, we considered the problem of finding the slopes of the tangent line to a given function y = f(x). The idea of a tangent line however is not
More informationSec. 14.3: Partial Derivatives. All of the following are ways of representing the derivative. y dx
Math 2204 Multivariable Calc Chapter 14: Partial Derivatives I. Review from math 1225 A. First Derivative Sec. 14.3: Partial Derivatives 1. Def n : The derivative of the function f with respect to the
More informationDifferentiation. Timur Musin. October 10, University of Freiburg 1 / 54
Timur Musin University of Freiburg October 10, 2014 1 / 54 1 Limit of a Function 2 2 / 54 Literature A. C. Chiang and K. Wainwright, Fundamental methods of mathematical economics, Irwin/McGraw-Hill, Boston,
More informationProperties of the Gradient
Properties of the Gradient Gradients and Level Curves In this section, we use the gradient and the chain rule to investigate horizontal and vertical slices of a surface of the form z = g (x; y) : To begin
More informationLecture for Week 6 (Secs ) Derivative Miscellany I
Lecture for Week 6 (Secs. 3.6 9) Derivative Miscellany I 1 Implicit differentiation We want to answer questions like this: 1. What is the derivative of tan 1 x? 2. What is dy dx if x 3 + y 3 + xy 2 + x
More informationLecture 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 information25. Chain Rule. Now, f is a function of t only. Expand by multiplication:
25. Chain Rule The Chain Rule is present in all differentiation. If z = f(x, y) represents a two-variable function, then it is plausible to consider the cases when x and y may be functions of other variable(s).
More informationSKILL BUILDER TEN. Graphs of Linear Equations with Two Variables. If x = 2 then y = = = 7 and (2, 7) is a solution.
SKILL BUILDER TEN Graphs of Linear Equations with Two Variables A first degree equation is called a linear equation, since its graph is a straight line. In a linear equation, each term is a constant or
More informationWeek 1: need to know. November 14, / 20
Week 1: need to know How to find domains and ranges, operations on functions (addition, subtraction, multiplication, division, composition), behaviors of functions (even/odd/ increasing/decreasing), library
More informationDifferentiation. 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 informationChristmas Calculated Colouring - C1
Christmas Calculated Colouring - C Tom Bennison December 20, 205 Introduction Each question identifies a region or regions on the picture Work out the answer and use the key to work out which colour to
More informationMTH 254, Fall Term 2010 Test 2 No calculator Portion Given: November 3, = xe. (4 points) + = + at the point ( 2, 1, 3) 1.
MTH 254, Fall Term 2010 Test 2 No calculator Portion Given: November 3, 2010 Name 1. Find u ( x, y ) where u( x, y) xy x y = xe. (4 points) 2. Find the equation of the tangent plane to the curve 2x z x
More informationModule 2: Reflecting on One s Problems
MATH55 Module : Reflecting on One s Problems Main Math concepts: Translations, Reflections, Graphs of Equations, Symmetry Auxiliary ideas: Working with quadratics, Mobius maps, Calculus, Inverses I. Transformations
More informationGraphing Systems of Linear Equations
Graphing Systems of Linear Equations Groups of equations, called systems, serve as a model for a wide variety of applications in science and business. In these notes, we will be concerned only with groups
More informationImplicit Differentiation and Inverse Trigonometric Functions
Implicit Differentiation an Inverse Trigonometric Functions MATH 161 Calculus I J. Robert Buchanan Department of Mathematics Summer 2018 Explicit vs. Implicit Functions 0.5 1 y 0.0 y 2 0.5 3 4 1.0 0.5
More informationSolow Growth Model. Michael Bar. February 28, Introduction Some facts about modern growth Questions... 4
Solow Growth Model Michael Bar February 28, 208 Contents Introduction 2. Some facts about modern growth........................ 3.2 Questions..................................... 4 2 The Solow Model 5
More information1. By the Product Rule, in conjunction with the Chain Rule, we compute the derivative as follows: and. So the slopes of the tangent lines to the curve
MAT 11 Solutions TH Eam 3 1. By the Product Rule, in conjunction with the Chain Rule, we compute the derivative as follows: Therefore, d 5 5 d d 5 5 d 1 5 1 3 51 5 5 and 5 5 5 ( ) 3 d 1 3 5 ( ) So the
More informationDCDM 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 informationGreenwich Public Schools Mathematics Curriculum Objectives. Calculus
Mathematics Curriculum Objectives Calculus June 30, 2006 NUMERICAL AND PROPORTIONAL REASONING Quantitative relationships can be expressed numerically in multiple ways in order to make connections and simplify
More informationLecture 1: The Classical Optimal Growth Model
Lecture 1: The Classical Optimal Growth Model This lecture introduces the classical optimal economic growth problem. Solving the problem will require a dynamic optimisation technique: a simple calculus
More informationQuiz 4A Solutions. Math 150 (62493) Spring Name: Instructor: C. Panza
Math 150 (62493) Spring 2019 Quiz 4A Solutions Instructor: C. Panza Quiz 4A Solutions: (20 points) Neatly show your work in the space provided, clearly mark and label your answers. Show proper equality,
More informationMathematical Economics: Lecture 2
Mathematical Economics: Lecture 2 Yu Ren WISE, Xiamen University September 25, 2012 Outline 1 Number Line The number line, origin (Figure 2.1 Page 11) Number Line Interval (a, b) = {x R 1 : a < x < b}
More information3.1 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 informationParametric Equations and Polar Coordinates
Parametric Equations and Polar Coordinates Parametrizations of Plane Curves In previous chapters, we have studied curves as the graphs of functions or equations involving the two variables x and y. Another
More informationMATH 124. Midterm 2 Topics
MATH 124 Midterm 2 Topics Anything you ve learned in class (from lecture and homework) so far is fair game, but here s a list of some main topics since the first midterm that you should be familiar with:
More informationSOLUTIONS FOR PROBLEMS 1-30
. Answer: 5 Evaluate x x + 9 for x SOLUTIONS FOR PROBLEMS - 0 When substituting x in x be sure to do the exponent before the multiplication by to get (). + 9 5 + When multiplying ( ) so that ( 7) ( ).
More informationEcon 110: Introduction to Economic Theory. 8th Class 2/7/11
Econ 110: Introduction to Economic Theory 8th Class 2/7/11 go over problem answers from last time; no new problems today given you have your problem set to work on; we'll do some problems for these concepts
More informationII. An Application of Derivatives: Optimization
Anne Sibert Autumn 2013 II. An Application of Derivatives: Optimization In this section we consider an important application of derivatives: finding the minimum and maximum points. This has important applications
More informationWorkshop I The R n Vector Space. Linear Combinations
Workshop I Workshop I The R n Vector Space. Linear Combinations Exercise 1. Given the vectors u = (1, 0, 3), v = ( 2, 1, 2), and w = (1, 2, 4) compute a) u + ( v + w) b) 2 u 3 v c) 2 v u + w Exercise 2.
More informationAdvanced Microeconomics
Advanced Microeconomics Ordinal preference theory Harald Wiese University of Leipzig Harald Wiese (University of Leipzig) Advanced Microeconomics 1 / 68 Part A. Basic decision and preference theory 1 Decisions
More informationCalculus Review Session. Brian Prest Duke University Nicholas School of the Environment August 18, 2017
Calculus Review Session Brian Prest Duke University Nicholas School of the Environment August 18, 2017 Topics to be covered 1. Functions and Continuity 2. Solving Systems of Equations 3. Derivatives (one
More informationLecture Notes 8
14.451 Lecture Notes 8 Guido Lorenzoni Fall 29 1 Stochastic dynamic programming: an example We no turn to analyze problems ith uncertainty, in discrete time. We begin ith an example that illustrates the
More informationInternational Trade Lecture 9: Factor Proportion Theory (II)
14.581 International Trade Lecture 9: Factor Proportion Theory (II) 14.581 Week 5 Spring 2013 14.581 (Week 5) Factor Proportion Theory (II) Spring 2013 1 / 24 Today s Plan 1 Two-by-two-by-two Heckscher-Ohlin
More information5.1 Separable Differential Equations
5.1 Separable Differential Equations A differential equation is an equation that has one or more derivatives in it. The order of a differential equation is the highest derivative present in the equation.
More informationWorkbook for Calculus I
Workbook for Calculus I By Hüseyin Yüce New York 2007 1 Functions 1.1 Four Ways to Represent a Function 1. Find the domain and range of the function f(x) = 1 + x + 1 and sketch its graph. y 3 2 1-3 -2-1
More informationEconomic Growth
MIT OpenCourseWare http://ocw.mit.edu 14.452 Economic Growth Fall 2008 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms. 14.452 Economic Growth: Lecture
More information1. Determine the limit (if it exists). + lim A) B) C) D) E) Determine the limit (if it exists).
Please do not write on. Calc AB Semester 1 Exam Review 1. Determine the limit (if it exists). 1 1 + lim x 3 6 x 3 x + 3 A).1 B).8 C).157778 D).7778 E).137778. Determine the limit (if it exists). 1 1cos
More informationThe Mean Value Theorem. Oct
The Mean Value Theorem Oct 14 2011 The Mean Value Theorem Theorem Suppose that f is defined and continuous on a closed interval [a, b], and suppose that f exists on the open interval (a, b). Then there
More informationMath 1310 Final Exam
Math 1310 Final Exam December 11, 2014 NAME: INSTRUCTOR: Write neatly and show all your work in the space provided below each question. You may use the back of the exam pages if you need additional space
More informationThis exam will be over material covered in class from Monday 14 February through Tuesday 8 March, corresponding to sections in the text.
Math 275, section 002 (Ultman) Spring 2011 MIDTERM 2 REVIEW The second midterm will be held in class (1:40 2:30pm) on Friday 11 March. You will be allowed one half of one side of an 8.5 11 sheet of paper
More informationENGI Partial Differentiation Page y f x
ENGI 3424 4 Partial Differentiation Page 4-01 4. Partial Differentiation For functions of one variable, be found unambiguously by differentiation: y f x, the rate of change of the dependent variable can
More informationMATHEMATICS AP Calculus (BC) Standard: Number, Number Sense and Operations
Standard: Number, Number Sense and Operations Computation and A. Develop an understanding of limits and continuity. 1. Recognize the types of nonexistence of limits and why they Estimation are nonexistent.
More informationGeneral Equilibrium and Welfare
and Welfare Lectures 2 and 3, ECON 4240 Spring 2017 University of Oslo 24.01.2017 and 31.01.2017 1/37 Outline General equilibrium: look at many markets at the same time. Here all prices determined in the
More information