Lecture 29 Multivariate Calculus

Slides:



Advertisements
Similar presentations
Unit 6 – Fundamentals of Calculus Section 6
Advertisements

The Chain Rule Section 3.6c.
Copyright © Cengage Learning. All rights reserved. 14 Partial Derivatives.
Equation of a Tangent Line
Chapter 13 Functions of Several Variables. Copyright © Houghton Mifflin Company. All rights reserved.13-2 Definition of a Function of Two Variables.
The gradient as a normal vector. Consider z=f(x,y) and let F(x,y,z) = f(x,y)-z Let P=(x 0,y 0,z 0 ) be a point on the surface of F(x,y,z) Let C be any.
ESSENTIAL CALCULUS CH11 Partial derivatives
DERIVATIVES 3. DERIVATIVES In this chapter, we begin our study of differential calculus.  This is concerned with how one quantity changes in relation.
Chapter 14 – Partial Derivatives
MA Day 24- February 8, 2013 Section 11.3: Clairaut’s Theorem Section 11.4: Differentiability of f(x,y,z) Section 11.5: The Chain Rule.
DIFFERENTIATION & INTEGRATION CHAPTER 4.  Differentiation is the process of finding the derivative of a function.  Derivative of INTRODUCTION TO DIFFERENTIATION.
Section 2.9 Linear Approximations and Differentials Math 1231: Single-Variable Calculus.
Derivatives - Equation of the Tangent Line Now that we can find the slope of the tangent line of a function at a given point, we need to find the equation.
Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Prentice Hall Implicit Differentiation Section 3.7.
Copyright © Cengage Learning. All rights reserved.
Economics 214 Lecture 18. Ceteris Paribus Economic analysis often proceeds by considering the consequences of a certain event, ceteris paribus. The advantage.
Economics 214 Lecture 12. Average and marginal functions The simple geometry of the relationship between marginal and average compares the slope of a.
Economics 214 Lecture 29 Multivariate Calculus. Homogeneous Function.
Economics 214 Lecture 18 Differential. Average and marginal functions The average function rises as long as the marginal function lies above it. The average.
PARTIAL DERIVATIVES PARTIAL DERIVATIVES One of the most important ideas in single-variable calculus is:  As we zoom in toward a point on the graph.
Implicit Differentiation. Objectives Students will be able to Calculate derivative of function defined implicitly. Determine the slope of the tangent.
AP Calculus Ms. Battaglia
1 Part 1: Ordinary Differential Equations Ch1: First-Order Differential Equations Ch2: Second-Order Differential Equations Ch3: The Laplace Transform Ch4:
Section 11.3 Partial Derivatives
(MTH 250) Lecture 24 Calculus. Previous Lecture’s Summary Multivariable functions Limits along smooth curves Limits of multivariable functions Continuity.
Copyright © Cengage Learning. All rights reserved. 14 Partial Derivatives.
Chapter 10 Vector Calculus
AP Calculus Ms. Battaglia. Differential equation (in x and y): an equation that involves x, y, and the derivatives of y. A function y=f(x) is called a.
Chapter : Derivatives Section 3.7: Implicit Differentiation
3.7 Implicit Differentiation xf(x)f(x)g(x)g(x) f ‘ (x)g ‘ (x) 2821/3 33 33 4422 5.
Differential Equations. Definition A differential equation is an equation involving derivatives of an unknown function and possibly the function itself.
The derivative of a function f at a fixed number a is In this lesson we let the number a vary. If we replace a in the equation by a variable x, we get.
Slope Fields and Euler’s Method
CHAPTER Continuity Implicit Differentiation.
Sec 15.6 Directional Derivatives and the Gradient Vector
Differential Equations Copyright © Cengage Learning. All rights reserved.
Warm-up It’s as easy as 1-2-3! 1)Start by separating variables. 2)Integrate both sides. 3) Solve for dy/dx. Solve = k(y – 80) This represents Newton’s.
1 Ch. 12 Optimization with Equality Constraints 12.1Effects of a Constraint 12.2Finding the Stationary Values 12.3Second-Order Conditions 12.4Quasi-concavity.
Exponential Growth and Decay 6.4. Separation of Variables When we have a first order differential equation which is implicitly defined, we can try to.
Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Prentice Hall 3.7 Implicit Differentiation.
Derivatives Test Review Calculus. What is the limit equation used to calculate the derivative of a function?
Section 15.3 Partial Derivatives. PARTIAL DERIVATIVES If f is a function of two variables, its partial derivatives are the functions f x and f y defined.
Graphing Polar Graphs Calc AB- Section10.6A. Symmetry Tests for Polar Graphs 1.Symmetry about the x -axis: If the point lies on the graph, the point ________.
Calculus and Analytical Geometry
The Chain Rule. The Chain Rule Case I z x y t t start with z z is a function of x and y x and y are functions of t Put the appropriate derivatives along.
MA Day 34- February 22, 2013 Review for test #2 Chapter 11: Differential Multivariable Calculus.
Dr.-Ing. Erwin Sitompul President University Lecture 6 Multivariable Calculus President UniversityErwin SitompulMVC 6/1
Calculus and Analytical Geometry Lecture # 5 MTH 104.
Differential Equations
Geometric Meaning of y’=(x,y) and direction fields Course Teacher: Vrajesh Sir Prepared by: Sanchit puranik Sarvaiya Pratik Shah.
Copyright © Cengage Learning. All rights reserved.
11.0 Analytic Geometry & Circles
Differential Equations
14.6 Directional Derivatives and the Gradient Vector
Implicit Differentiation
Implicit Differentiation
Chain Rules for Functions of Several Variables
Computer Graphics Lecture 37
Problem of the Day (Calculator Allowed)
2.5 Implicit Differentiation
13 Functions of Several Variables
Regard y as the independent variable and x as the dependent variable and use implicit differentiation to find dx / dy. y 4 + x 2y 2 + yx 4 = y + 7 {image}
Copyright © Cengage Learning. All rights reserved.
13 Functions of Several Variables
Find {image} by implicit differentiation:    {image} .
IMPLICIT Differentiation.
Section 6.3 Day 1 Separation of Variable
2.5 Basic Differentiation Properties
Directional Derivatives
Presentation transcript:

Lecture 29 Multivariate Calculus Economics 2301 Lecture 29 Multivariate Calculus

Total Differential

Example

Geometric Interpretation In a multivariate function with two arguments x and z, the differential at point (x0,z0,y0 ) can be interpreted as describing points on the two-dimensional plane that passes through (x0,z0,y0 ) and is tangent to the surface of the original multivariate function. Points on the tangent plane satisfy the differential dy=fx(x,z)dx+fz(x,z)dz This tangent plane is illustrated in Figure 8.4. The slope of a slice of this tangent plane along the dx axis is fx(x0 ,z0 ) and the slope of a slice along the dz axis is fz(x0 ,z0 )

Figure 8.4 Differential of a Multivariate Equation at Point (x0, z0, y0)

Implicit Functions Implicit function combines the dependent variable and the independent variables in a form like F(y,x1 ,x2 ,…,xn )=k. Often k=0. Implicit functions are often used in the context of level curves, which show how the arguments of a function are related to a particular level of a variable. An indifference curve and an isoquant are particular types of level curves.

Implicit Function Theorem

Example

Our Example Continued

Figure 8.6 An Indifference Curve and Isoquants

Cobb-Douglas Production Function

Cobb-Douglas Continued

Homogeneous Functions

Homothetic Function

Example