Economics 214 Lecture 17 Derivatives and differentials.

Slides:



Advertisements
Similar presentations
3.1 Derivative of a Function
Advertisements

Definition of the Derivative Using Average Rate () a a+h f(a) Slope of the line = h f(a+h) Average Rate of Change = f(a+h) – f(a) h f(a+h) – f(a) h.
3.3 Rules for Differentiation
DERIVATIVE OF A FUNCTION 1.5. DEFINITION OF A DERIVATIVE OTHER FORMS: OPERATOR:,,,
The Derivative and the Tangent Line Problem
The Derivative and the Tangent Line Problem. Local Linearity.
The derivative and the tangent line problem (2.1) October 8th, 2012.
The Derivative Section 2.1
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.
THE DERIVATIVE AND THE TANGENT LINE PROBLEM
If f (x) is a differentiable function over [ a, b ], then at some point between a and b : Mean Value Theorem for Derivatives.
Appendix to Chapter 1 Mathematics Used in Microeconomics © 2004 Thomson Learning/South-Western.
Economics 214 Lecture 12. Average and marginal functions The simple geometry of the relationship between marginal and average compares the slope of a.
4.2 The Mean Value Theorem.
Economics 214 Lecture 23 Elasticity. An elasticity measures a specific form of responsiveness. The percentage change in one variable that accompanies.
Implicit Differentiation. Objectives Students will be able to Calculate derivative of function defined implicitly. Determine the slope of the tangent.
1 The Derivative and the Tangent Line Problem Section 2.1.
is called the derivative of at. We write: “The derivative of f with respect to x is …” There are many ways to write the derivative.
3.3 –Differentiation Rules REVIEW: Use the Limit Definition to find the derivative of the given function.
Section 6.1: Euler’s Method. Local Linearity and Differential Equations Slope at (2,0): Tangent line at (2,0): Not a good approximation. Consider smaller.
Motion Graphing Position vs. Time Graphs
Local Linearity The idea is that as you zoom in on a graph at a specific point, the graph should eventually look linear. This linear portion approximates.
Economics 2301 Lecture 15 Differential Calculus. Difference Quotient.
 Exploration:  Sketch a rectangular coordinate plane on a piece of paper.  Label the points (1, 3) and (5, 3).  Draw the graph of a differentiable.
Antiderivatives Lesson 7.1B Down with Derivatives.
Ch 4 - Logarithmic and Exponential Functions - Overview
Appendix Basic Math for Economics. 2 Functions of One Variable Variables: The basic elements of algebra, usually called X, Y, and so on, that may be given.
Today in Calculus Go over homework Derivatives by limit definition Power rule and constant rules for derivatives Homework.
1 Discuss with your group. 2.1 Limit definition of the Derivative and Differentiability 2015 Devil’s Tower, Wyoming Greg Kelly, Hanford High School, Richland,
3.3 Rules for Differentiation AKA “Shortcuts”. Review from places derivatives do not exist: ▫Corner ▫Cusp ▫Vertical tangent (where derivative is.
Section 2.3 The Derivative Function. Fill out the handout with a partner –So is the table a function? –Do you notice any other relationships between f.
2.1 Day Differentiability.
3.1 Derivatives of a Function, p. 98 AP Calculus AB/BC.
Slide 3- 1 What you’ll learn about Definition of a Derivative Notation Relationship between the Graphs of f and f ' Graphing the Derivative from Data One-sided.
3.1 Derivative of a Function Objectives Students will be able to: 1)Calculate slopes and derivatives using the definition of the derivative 2)Graph f’
2.1 The Derivative and the Tangent Line Problem.
If f (x) is continuous over [ a, b ] and differentiable in (a,b), then at some point, c, between a and b : Mean Value Theorem for Derivatives.
Copyright © 2002 Pearson Education, Inc. 1. Chapter 6 An Introduction to Differential Calculus.
2.2 Derivatives Great Sand Dunes National Monument, Colorado Greg Kelly, Hanford High School, Richland, WashingtonPhoto by Vickie Kelly, 2003.
Aim: How do we take second derivatives implicitly? Do Now: Find the slope or equation of the tangent line: 1)3x² - 4y² + y = 9 at (2,1) 2)2x – 5y² = -x.
Differentiable vs. Continuous The process of finding the derivative of a function is called Differentiation. A function is called Differentiable at x if.
4.2 The Mean Value Theorem.
Mean Value Theorem.
Increasing/decreasing and the First Derivative test
Derivative Rules Derivatives = rates of change = marginal = tangent line slopes Constant Rule: Power Rule: Coefficient Rule: Sum/Difference Rule:
Used for composite functions
Chapter 5.
Business Mathematics MTH-367
Aim: How do we determine if a function is differential at a point?
Accelerated Motion Chapter 3.
Warm-Up: October 2, 2017 Find the slope of at.
(MTH 250) Calculus Lecture 12.
The Derivative Chapter 3.1 Continued.
3.2 Differentiability.
Applications of Derivatives
THE DERIVATIVE AND THE TANGENT LINE PROBLEM
The derivative and the tangent line problem (2.1)
Derivatives Sec. 3.1.
3.1 Derivatives Part 2.
3.2: Differentiability.
Unit 4: curve sketching.
2.1 The Derivative & the Tangent Line Problem
2.1 The Derivative and the Tangent Line Problem
Chapter 2 Differentiation.
Down with Derivatives Antiderivatives Lesson 7.1B.
EQUATION 3.1 – 3.2 Price elasticity of demand(eP)
3.1 Derivatives of a Function
Lesson: Derivative Basics - 2
Characteristics.
Characteristics.
Presentation transcript:

Economics 214 Lecture 17 Derivatives and differentials

Differentiability A function is differentiable over a certain interval if a derivative exists for each point in that interval. Not all functions are differentiable in their entire domain. The derivative can be thought of as the slope of a line tangent to the original function. If there is no unique tangent line at a certain value of a function, then a derivative does not exist for that value.

Figure 6.6 Functions Not Everywhere Differentiable

Differentiability A function is differentiable over a certain interval if each point in that interval is associated with a unique tangent line. This requires, in turn, that, in this interval, the function be continuous and smooth. A function is smooth if it has no “corner points,” that is, no points where it is possible to draw more than one tangent line.

Figure 6.7 Oligopolistic Demand and Cost Functions

Average and marginal functions The simple geometry of the relationship between marginal and average compares the slope of a ray from the origin to the value of the derivative of a function as we move lout along the function. The slope of the ray from the origin will increase as we move out along the function as long as the derivative of the function is greater than the slope of the ray from the origin.

Average and marginal functions The slope of the ray from the origin will decrease as we move out along the function as long as the derivative is less than the slope of that ray. A linear function has a constant slope, a constant derivative, and there, a unvarying average value.