Maximum and Minimum Values

Slides:



Advertisements
Similar presentations
Section 16.5 Local Extreme Values
Advertisements

4.1 Maximum and Minimum Values
12.5: Absolute Maxima and Minima. Finding the absolute maximum or minimum value of a function is one of the most important uses of the derivative. For.
4.1 – Extreme Values of Functions
Maximum and Minimum Values
Chapter 14 – Partial Derivatives
15 PARTIAL DERIVATIVES.
Partial Differentiation & Application
f has a saddle point at (1,1) 2.f has a local minimum at.
9.4 – Solving Absolute Value Equations and Inequalities 1.
MTH374: Optimization For Master of Mathematics By Dr. M. Fazeel Anwar Assistant Professor Department of Mathematics, CIIT Islamabad 1.
4.1 Maximum and Minimum Values. Maximum Values Local Maximum Absolute Maximum |c2|c2 |c1|c1 I.
Copyright © 2008 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Absolute Extrema OBJECTIVES  Find absolute extrema using Maximum- Minimum.
The mileage of a certain car can be approximated by: At what speed should you drive the car to obtain the best gas mileage? Of course, this problem isn’t.
Section 4.1 Maximum and Minimum Values Applications of Differentiation.
Consider minimizing and/or maximizing a function z = f(x,y) subject to a constraint g(x,y) = c. y z x z = f(x,y) Parametrize the curve defined by g(x,y)
4.1 Extreme Values of Functions Objective: SWBAT determine the local or global extreme values of a function.
G.K.BHARAD INSTITUTE OF ENGINEERING Division:D Subject:CALCULUS Subject code: TOPIC.
Tangents and Normals We’re going to talk about tangents and normals to 3-D surfaces such as x 2 + y 2 + z 2 = 4 It’s useful to think of these surfaces.
Applications of Differentiation Calculus Chapter 3.
Copyright © Cengage Learning. All rights reserved. 14 Partial Derivatives.
Calculus and Analytical Geometry Lecture # 13 MTH 104.
Extreme Values Let f (x,y) be defined on a region R containing P(x 0,y 0 ): P is a relative max of f if f (x,y) ≤ f (x 0,y 0 ) for all (x,y) on an open.
Finding the Absolute Extreme Values of Functions
Copyright © Cengage Learning. All rights reserved. Applications of Differentiation.
Functions of Several Variables Copyright © Cengage Learning. All rights reserved.
4.2 Critical Points Mon Oct 19 Do Now Find the derivative of each 1) 2)
CHAPTER 10 LESSON OBJECTIVES. Objectives 10.1 Students will be able to: Identify quadratic functions and determine whether they have a minimum or maximum.
Solving a Linear Inequality. Solving an Inequality In order to find the points that satisfy an inequality statement: 1. Find the boundary 2. Test every.
Functions of Several Variables 13 Copyright © Cengage Learning. All rights reserved.
Section 15.7 Maximum and Minimum Values. MAXIMA AND MINIMA A function of two variables has a local maximum at (a, b) if f (x, y) ≤ f (a, b) when (x, y)
4.1 Extreme Values of Functions Absolute (Global) Extreme Values –One of the most useful things we can learn from a function’s derivative is whether the.
Section 4.1 Maximum and Minimum Values
Section 4.2: Maximum and Minimum Values Practice HW from Stewart Textbook (not to hand in) p. 276 # 1-5 odd, odd, 35, 37, 39, 43.
Extrema of Functions of Two Variables
MTH1170 Function Extrema.
Using Derivatives to Find Absolute Maximum and Minimum Values
Chapter 3 Applications of Differentiation Maximum Extreme Values
Derivative and properties of functions
Functions of Several Variables
Copyright © Cengage Learning. All rights reserved.
Copyright © Cengage Learning. All rights reserved.
The mileage of a certain car can be approximated by:
Using Derivatives to Find Absolute Maximum and Minimum Values
AP Calculus BC September 22, 2016.
Objectives for Section 12.5 Absolute Maxima and Minima
Copyright © Cengage Learning. All rights reserved.
4.1 – Extreme Values of Functions
Absolute or Global Maximum Absolute or Global Minimum
3.1 Extreme Values Absolute or Global Maximum
Quadratic Functions: Extreme Values
3.2: Extrema and the First Derivative Test
Absolute Maximum and Minimum Values
Extreme Values of Functions
Quadratic Functions: Extreme Values
Section 14.4 Gradients and the Directional Derivatives in the Plane
13 Functions of Several Variables
Packet #17 Absolute Extrema and the Extreme Value Theorem
APPLICATIONS OF DERIVATIVES
Using Derivatives to Find Absolute Maximum and Minimum Values
Welcome: The graph of f(x) = |x – 3| – 6 is given below
Analysis of Absolute Value Functions Date:______________________
Chapter 12 Graphing and Optimization
Extreme values of functions
Chapter 3 Applications of Differentiation Maximum Extreme Values
Unit 4: Applications of Derivatives
Extreme values of functions
Chapter 4 Graphing and Optimization
Maximum and Minimum Values
Maximum and Minimum Values
Presentation transcript:

Maximum and Minimum Values

Maximum and Minimum Values Problem: Find extrema (maximum or minimum) of 𝑓(𝑥,𝑦) on some domain D. Consider a function 𝑧=𝑓 𝑥,𝑦 . We say that (𝑎,𝑏)is a Local maximum if 𝑓(𝑎,𝑏)≥𝑓(𝑥,𝑦) for (𝑥,𝑦) in D “around” (𝑎,𝑏) Absolute maximum if 𝑓(𝑎,𝑏)≥𝑓(𝑥,𝑦) for all (𝑥,𝑦) in D Local minimum if 𝑓(𝑎,𝑏)≤𝑓(𝑥,𝑦) for (𝑥,𝑦) in D “around” (𝑎,𝑏) Absolute minimum if 𝑓(𝑎,𝑏)≤𝑓(𝑥,𝑦) for all (𝑥,𝑦) in D

Maximum and Minimum Values Theorem: If 𝑓 𝑥,𝑦 has a local maximum or minimum at a point 𝑎,𝑏 , and the first-order partial derivatives of 𝑓 exist there, then 𝑓 𝑥 𝑎,𝑏 =0 and 𝑓 𝑦 𝑎,𝑏 =0. Geometrically: If the function f has a local maximum (or minimum) at 𝑃(𝑎,𝑏), then the tangent plane must be horizontal with equation 𝑧=𝑓(𝑎,𝑏). Since the equation of the tangent plane is 𝑧=𝑓 𝑎,𝑏 + 𝑓 𝑥 𝑎,𝑏 𝑥−𝑎 + 𝑓 𝑦 (𝑎,𝑏)(𝑦−𝑏) it follows that 𝑓 𝑥 𝑎,𝑏 = 𝑓 𝑦 𝑎,𝑏 =0

Maximum and Minimum Values NOTES: is a necessary but not sufficient condition for a maximum or a minimum. We could have a saddle point at (a,b) or or both may not exist at a local maximum or minimum. A maximum or minimum could be on the boundary of the domain D.

Maximum and Minimum Values Let 𝑎,𝑏 be a point in the interior of the domain D. We say (𝑎,𝑏) is a critical point for 𝑓(𝑥,𝑦) if either 𝑓 𝑥 𝑎,𝑏 =0 and 𝑓 𝑦 𝑎,𝑏 =0 , or 𝑓 𝑥 or 𝑓 𝑦 or both do NOT exist at (𝑎,𝑏) Critical points are candidates for maximum and minimum. Example 1: Find the critical points of 𝑓 𝑥,𝑦 = 𝑥 2 + 𝑦 2 −6𝑥−4𝑦+2 𝑓 𝑥 𝑥,𝑦 =2𝑥−6 𝑓 𝑦 𝑥,𝑦 =2𝑦−4 The partial derivatives are equal to 0, when 𝑥=3 and 𝑦=2, so the only critical point is 3,2 . From the figure we can see that 𝑓 3,2 =−11 is a minimum. The surface is the elliptic paraboloid with vertex at 3, 2, −11 .

Maximum and Minimum Values How do we determine analytically whether a critical point is a maximum, a minimum or neither? Second Derivative Test: We define the Discriminant: Assume the second partial derivatives of 𝑓 are continuous “around” (𝑎,𝑏) and 𝑓 𝑥 𝑎,𝑏 = 𝑓 𝑦 𝑎,𝑏 =0 𝑫(𝒂,𝒃) 𝒇 𝒙𝒙 (𝒂,𝒃) Classification of (𝒂,𝒃) + Local Minimum − Local Maximum Saddle point Test is inconclusive

Maximum and Minimum Values – Example 2 Find and classify the critical points of 𝑓 𝑥,𝑦 =4+ 𝑥 3 + 𝑦 3 −3𝑥𝑦 Contour plot 𝑓 𝑥 =3 𝑥 2 −3𝑦 𝑓 𝑦 =3 𝑦 2 −3𝑥 Setting the partial derivatives equal to 0, yields 𝑥 2 −𝑦=0 and 𝑦 2 −𝑥=0 Substitute 𝑦= 𝑥 2 from the first equation into the second equation. This gives 0= 𝑥 4 −𝑥=𝑥( 𝑥 3 −1) with roots 𝑥=0 and 𝑥=1. The two critical points are (0,0) and (1,1) Critical point 𝒇 𝒙𝒙 𝒇 𝒚𝒚 𝒇 𝒙𝒚 Discriminant 𝑫= 𝒇 𝒙𝒙 𝒇 𝒚𝒚 − 𝒇 𝒙𝒚 𝟐 Type (0,0) −3 0 0 − −3 2 =−9 Saddle since 𝐷<0 (1,1) 6 6 6 − −3 2 =27 Local minimum since 𝐷>0 and 𝑓 𝑥𝑥 >0

Maximum and Minimum Values - Application Find the point (x, y, z) on the plane z = 4x + 3y + 3 which is closest to the origin. We will minimize the square of the distance from the point (x, y, z) to the origin, 𝑑 2 = 𝑥 2 + 𝑦 2 + 𝑧 2 , subject to the constraint z = 4x + 3y + 3 Substituting z into 𝑑 2 yields 𝑓 𝑥,𝑦 = 𝑥 2 + 𝑦 2 + (4𝑥+3𝑦+3) 2 Find the critical points: 𝑓 𝑥 =2𝑥+8 4𝑥+3𝑦+3 =34𝑥+24𝑦+24=0 𝑓 𝑦 =2𝑦+6 4𝑥+3𝑦+3 =24𝑥+20𝑦+18=0 Solving the system gives Substituting into the equation of the plane gives The point on the plane closest to the origin is

Maximum and Minimum Values ABSOLUTE MAXIMUM AND MINIMUM VALUES EXTREME VALUE THEOREM: If 𝑓 is continuous on a closed, bounded region D in R2, then f attains an absolute maximum 𝑓( 𝑥 1 , 𝑦 1 ) and an absolute minimum 𝑓( 𝑥 2 , 𝑦 2 ) at some points ( 𝑥 1 , 𝑦 1 ) and ( 𝑥 2 , 𝑦 2 ) in D. To find absolute maximum and minimum: Step 1. Find the values of f at the critical points Step 2. Find the extreme value of f on the boundary of D Step 3. The largest value in 1. and 2. is the absolute maximum, the smallest value is the absolute minimum.

Maximum and Minimum Values - Example 3 Find the absolute maximum and minimum of the function 𝑓 𝑥,𝑦 =𝑥𝑦−5𝑦−25𝑥+125 on the region D bounded by y = x2 and y = 36. Step1: Find the critical points: 𝑓 𝑥 =𝑦−25=0, 𝑓 𝑦 =𝑥−5=0 (5,25) Evaluate the function: f(5, 25) = 0 Step 2: Find the extreme values of 𝑓on the boundary of D The boundary consists of the line segment 𝑦=36 and the parabola. We first check the line segment. Substituting y = 36 into the expression for 𝑓(𝑥,𝑦) gives: 𝑓 𝑥,36 =36𝑥−5 36 −25𝑥+125=11𝑥−55 −6≤𝑥≤6 This is an increasing function of x, so its minimum value is 𝑓 −6,36 =−121 and its maximum value is 𝑓 6,36 =11.

Maximum and Minimum Values - Example 3 continued Now let’s check the boundary 𝑦= 𝑥 2 . Substituting 𝑦= 𝑥 2 into the expression for 𝑓(𝑥,𝑦), gives 𝑓 𝑥, 𝑥 2 =𝑔 𝑥 = 𝑥 3 −5 𝑥 2 −25𝑥+125 −6≤𝑥≤6 We can see from the graph of 𝑔 𝑥 =𝑓(𝑥 ,𝑥 2 ) that the function attains its minimum at 𝑥=−6. To find the maximum we solve 𝑔 ′ 𝑥 =3 𝑥 2 −10𝑥−25=0. The roots are 𝑥=− 5 3 and 𝑥=5. Values of 𝑓: Step 3: Compare all the values from Step 1 and 2. 𝑓 5,25 =0 𝑓 −6,36 =−121 Absolute minimum 𝑓 −6,36 =−121 𝑓 6,36 =11 𝑓 − 5 3 , 25 9 ≈148.15 Absolute maximum 𝑓 − 5 3 , 25 9 ≈148.15