Chapter 6: Functions with severable variables and Partial Derivatives:

Similar documents
Chapter 2 Section 3. Partial Derivatives

Example: When describing where a function is increasing, decreasing or constant we use the x- axis values.

Differentiation. The main problem of differential calculus deals with finding the slope of the tangent line at a point on a curve.

Differential Equaitons Equations

T k b p M r will so ordered by Ike one who quits squuv. fe2m per year, or year, jo ad vaoce. Pleaie and THE ALTO SOLO

Review of Prerequisite Skills for Unit # 2 (Derivatives) U2L2: Sec.2.1 The Derivative Function

ACCEPTS HUGE FLORAL KEY TO LOWELL. Mrs, Walter Laid to Rest Yesterday

Section 3.4: Concavity and the second Derivative Test. Find any points of inflection of the graph of a function.

Mat 267 Engineering Calculus III Updated on 9/19/2010

Sec 3.1. lim and lim e 0. Exponential Functions. f x 9, write the equation of the graph that results from: A. Limit Rules

y2 = 0. Show that u = e2xsin(2y) satisfies Laplace's equation.

and A L T O S O L O LOWELL, MICHIGAN, THURSDAY, OCTCBER Mrs. Thomas' Young Men Good Bye 66 Long Illness Have Sport in

y,z the subscript y, z indicating that the variables y and z are kept constant. The second partial differential with respect to x is written x 2 y,z

4.1 & 4.2 Student Notes Using the First and Second Derivatives. for all x in D, where D is the domain of f. The number f()

Math Review and Lessons in Calculus

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

DIFFERENTIATION RULES

9.3 Graphing Functions by Plotting Points, The Domain and Range of Functions

EC5555 Economics Masters Refresher Course in Mathematics September 2013

TOTAL NAME DATE PERIOD AP CALCULUS AB UNIT 4 ADVANCED DIFFERENTIATION TECHNIQUES DATE TOPIC ASSIGNMENT /6 10/8 10/9 10/10 X X X X 10/11 10/12

Exponential, Logarithmic and Inverse Functions

MEAN VALUE THEOREM. Section 3.2 Calculus AP/Dual, Revised /30/2018 1:16 AM 3.2: Mean Value Theorem 1

! " k x 2k$1 # $ k x 2k. " # p $ 1! px! p " p 1 # !"#$%&'"()'*"+$",&-('./&-/. !"#$%&'()"*#%+!'",' -./#")'.,&'+.0#.1)2,'!%)2%! !"#$%&'"%(")*$+&#,*$,#

whose domain D is a set of n-tuples in is defined. The range of f is the set of all values f x1,..., x n

ELEG 3143 Probability & Stochastic Process Ch. 4 Multiple Random Variables

m = Average Rate of Change (Secant Slope) Example:

INTRODUCTORY MATHEMATICAL ANALYSIS

Tangent Plane. Linear Approximation. The Gradient

First-Order ODEs. Chapter Separable Equations. We consider in this chapter differential equations of the form dy (1.1)

3.5 Graphs of Rational Functions

( x) f = where P and Q are polynomials.

Special types of Riemann sums

Power Series. Part 1. J. Gonzalez-Zugasti, University of Massachusetts - Lowell

Differential calculus. Background mathematics review

and ( x, y) in a domain D R a unique real number denoted x y and b) = x y = {(, ) + 36} that is all points inside and on

0,0 B 5,0 C 0, 4 3,5. y x. Recitation Worksheet 1A. 1. Plot these points in the xy plane: A

Applications of local fractional calculus to engineering in fractal time-space:

THE GAMMA FUNCTION THU NGỌC DƯƠNG

An Abstract Interpretation Framework for Refactoring with Application to Extract Methods with Contracts

W i n t e r r e m e m b e r t h e W O O L L E N S. W rite to the M anageress RIDGE LAUNDRY, ST. H E LE N S. A uction Sale.

r/lt.i Ml s." ifcr ' W ATI II. The fnncrnl.icniccs of Mr*. John We mil uppn our tcpiiblicnn rcprc Died.

H A M M IG K S L IM IT E D, ' i. - I f

.-I;-;;, '.-irc'afr?*. P ublic Notices. TiffiATRE, H. aiety

1. 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

A FORMULA FOR THE MEAN CURVATURE OF AN IMPLICIT REGULAR SURFACE

LOWELL WEEKLY JOURNAL.

M343 Homework 3 Enrique Areyan May 17, 2013

This is only a list of questions use a separate sheet to work out the problems. 1. (1.2 and 1.4) Use the given graph to answer each question.

Roberto s Notes on Differential Calculus Chapter 8: Graphical analysis Section 1. Extreme points

Definition: Let f(x) be a function of one variable with continuous derivatives of all orders at a the point x 0, then the series.

Extreme Values of Functions

CHAPTER 5 Logarithmic, Exponential, and Other Transcendental Functions

Chapter 3 - The Concept of Differentiation

Chapter 3: Topics in Differentiation

Functions of Several Variables

Dr. P.K. Srivastava Assistant Professor of Mathematics Galgotia College of Engineering & Technology Greater Noida (U.P.)

Final Exam Review Math Determine the derivative for each of the following: dy dx. dy dx. dy dx dy dx. dy dx dy dx. dy dx

Christoffel symbols and Gauss Theorema Egregium

1/100 Range: 1/10 1/ 2. 1) Constant: choose a value for the constant that can be graphed on the coordinate grid below.

Basic mathematics of economic models. 3. Maximization

A DARK GREY P O N T, with a Switch Tail, and a small Star on the Forehead. Any

L bor y nnd Union One nnd Inseparable. LOW I'LL, MICHIGAN. WLDNHSDA Y. JULY ), I8T. liuwkll NATIdiNAI, liank

CISE-301: Numerical Methods Topic 1:

Mathematical Notation Math Calculus & Analytic Geometry III

Math 112 Section 10 Lecture notes, 1/7/04

Universidad Carlos III de Madrid

Quiz 4A Solutions. Math 150 (62493) Spring Name: Instructor: C. Panza

Problem Total Points Score. Total 100

LOWELL WEEKLY JOURNAL.

Math 222 Spring 2013 Exam 3 Review Problem Answers

1. The following problems are not related: (a) (15 pts, 5 pts ea.) Find the following limits or show that they do not exist: arcsin(x)

Some commonly encountered sets and their notations

Feedback Linearization

1 Partial differentiation and the chain rule

MATH1901 Differential Calculus (Advanced)

e x3 dx dy. 0 y x 2, 0 x 1.

The concept of limit

MATHEMATICS 200 April 2010 Final Exam Solutions

Answer Key-Math 11- Optional Review Homework For Exam 2

Math Spring 2014 Homework 2 solution

Asymptote. 2 Problems 2 Methods

A NOVEL METHOD OF INTERPOLATION AND EXTRAPOLATION OF FUNCTIONS BY A LINEAR INITIAL VALUE PROBLEM

US01CMTH02 UNIT-3. exists, then it is called the partial derivative of f with respect to y at (a, b) and is denoted by f. f(a, b + b) f(a, b) lim

Section 3.5: Implicit Differentiation

Sec. 14.3: Partial Derivatives. All of the following are ways of representing the derivative. y dx

MATH 19520/51 Class 5

Math 234 Review Problems for the Final Exam

(b) Find the range of h(x, y) (5) Use the definition of continuity to explain whether or not the function f(x, y) is continuous at (0, 0)

CHAPTER 2 DIFFERENTIATION 2.1 FIRST ORDER DIFFERENTIATION. What is Differentiation?

39.1 Gradually Varied Unsteady Flow

Practice Midterm Solutions

Mathematical Notation Math Calculus & Analytic Geometry III

Lesson 15: Oregonator, Chemical Reactions and ode15s

21-256: Partial differentiation

Example 3.7 Consider the undeformed configuration of a solid as shown in Figure 3.60.

Solutions to Assignment 2

Probability, Statistics, and Reliability for Engineers and Scientists MULTIPLE RANDOM VARIABLES

1 Differential Equations

Analog Computing Technique

Exact Equations. M(x,y) + N(x,y) y = 0, M(x,y) dx + N(x,y) dy = 0. M(x,y) + N(x,y) y = 0

Transcription:

Chapter 6: Functions with severable variables and Partial Derivatives: Functions o several variables: A unction involving more than one variable is called unction with severable variables. Eamples: y (, y = ; +y (, y = ; y + y (, y = ; y (, y = + y. (, y, z = y ln( + z ; (, y, z = z + + y ; (, y, z = ye yz ; (, y, z = y + z + cos( yz.

Partial Derivatives: (,y ( + h, y (, y = = lim h 0 h Eample : Sol.: (, y + h (, y y = = lim y h 0 h (, y = + y y =?, =? y = 6 + y Eample : = y y y (, y = e sin( + y =?, =? y Sol.: y y = ye sin( + y + e cos( + y = e y sin( + y + e y cos( + y y

Partial Derivatives (,y,z: (, y, z = y = y Eample : Sol.: z = z (, y, z = ln( + y + z (, y, z = +y +z y y (, y, z = + y + z z z (, y, z = + y + z =?, =?, =? y z

Higher order Partial Derivatives: (, y Higher order Partial Derivatives: (, y, z?

(, y, z ((, y = =! = ( = = y! y y ( = = z! z z ( y = = y! y = y ( y = = yy! y y y z ( y = zy = yz! ( z = = z! z = z ( z = = zy! z yz y ( z = = zz! z z

Eample : Find all the second partial derivatives o Sol.: y (, y = e sin( + y y = [ y sin( + y + cos( + y ]e y = [ sin( + y + cos( + y]e y y y = [ y cos( + y sin( + y]e + y[ y sin( + y + cos( + y]e y = [ y sin( + y + ( + y cos( + y]e = y y y y = [ cos( + y sin( + y]e + [ sin( + y + cos( + y]e y

Eample 4:, yy, zz Find the second partial derivatives o the ollowing unction (, y, z = ln( + y + z Sol.: y y (, y, z = + y + z (, y, z = + y + z (, y, z = yy (, y, z = zz (, y, z = ( + y + z ( ( +y +z ( + y + z y( y ( +y +z ( + y + z z ( z ( +y +z z z (, y, z = + y + z = = = y + z ( +y +z + z y ( +y +z + y z ( +y +z

Eample 5: Find all the second partial derivatives o the ollowing unction (, y = y y + y + Sol.: (, y = y 4 y + y (, y = 6 y 4 y y (, y = 4 y + y yy (, y = 4 + 6 y y (, y = 8y + y = y (, y

Eample 6: Find the partial derivatives wy, wy, wy, w at (,0 o the unction y w = ye. Sol.: w = ye wy = [ e y y y y - y e y wy = e + ye ( ] [ ye y y y - ye. y + y e ( ]. y = e ( y ye ( y. y = e [( y y ( y ] y y = e [ y y + y ] = e [ 4 y + y ] wy = [ e y y y + e ( y] [ ye y + ye y ( y]. y = e ( y ye ( y. y y = e [( y y ( y ] = e [ 4 y + y ] w (,0 = 0 wy (,0 = 4 0 = 4 wy (,0 = ( = 4 = wy (,0

Chain Rule: Given a unction w=(,y,z, =g(s,t, y=h(s,t, z=k(s,t Eample : s w w w = + y + z, =, y = s + ln t, z = s Find and? t s t Sol.:

Eample : w w Find and in the ollowing cases : s t w = sin y, = s + t, y = st. w = + y, = s ln t, y = s + t. w = ln y, = s + t, y = st. 4 w = cos y, = s t, y = s. 5 w = y + yz, = s t, y = s t, z = s + t. Solution: w w w y w w y =. +. = sin y, = s, = cos y, = t. s s y s s y s w Thus, = sin y.( s + cos y.(t = s sin( st + t ( s + t cos( st. s w w w y y =. +. = t, = s. t t y t t t w Thus, = sin y.( t + cos y.( s = t sin( st + s( s + t cos( st. t

w w w y w w y =. +. = + y, = ln t, =, =. s s y s s y s w Thus, = ( + y.(ln t +.( s = (s ln t + 4s + t ln t + 4s ln t = [ s ln t + 4s + t ] ln t. w w w y =. +. t t y t s y =, =. t t t w s Thus, = ( + y.( +.( t t s = (s ln t + 4s + t + s ln t t,4,5 Quizes.

Dierentiation o Implicit unctions: Assume that z is an implicit unction o and y, that is, F(,y,z=0. Then F Fy z y = =. F y Fz z F F z = =. F Fz z z z Eample : I z y + yz + y = 0. Find and? y Solution: Let F (, y, z = z y + yz + y. Then F = y, Fy = + z + y, Fz = z + y. z y y z + z + y z y = =, = =. z + y z + y y z + y z + y

Eample : z z Find and in the ollowing cases : y sin y + z = yz. z yz + y + 4 z = 0. z + y 4 y z + y =. yz z y 4 e ye + ze =. 5 y + z + cos( yz = 4. Solution: Let F (, y, z = sin y + z yz. Then F = sin y yz, Fy = cos y z, Fz = z y. Fy F z sin y yz z cos y z = =, = =. Fz z y y Fz z y,,4,5 Quizes.

Chapter 7: Introductory to Dierential Equations: Deinition: A dierential equation (D.E. is an equation involving variables and derivatives. Eamples: y ' = 4 ( y' ' ' y = e y ( 4 5 = y The variable y is called the solution o the dierential equation. For eample the unction y = + C is a solution o the irst one.

Separable Dierential Equations: Deinition: A dierential equation (D.E. is called separable i it can be written in the orm: M(d+N(ydy=0. Eample : Sol.: Solve the dierential equation dy y e + =0 d y e d + dy = 0 e d + dy = 0, y e =C y y = e C dy y e + =0 d ( y 0

Eample : Sol.: Solve the dierential equation dy + y d = 0 dy + y d = 0, Divide by and y, 0, y 0. dy + d = 0 y y dy + d = 0 y + =C = C y = =y= y C C Remark: This solution is called the general solution o the dierential equation. I we add to the previous eample the boundary condition y(=-. Then substitute the values o and y into the general solution y= C we get C = and so the obtained solution is called the particular solution. y=

Linear First order Dierential Equations: Deinition: A dierential equation (D.E. is called Linear First order Dierential Equations i it can be written in the orm: y '+ P( y = Q( Eample : The ollowing dierential equations are L.F.O.D.E.:

Solving a First Order Linear Dierential Equation dy Put the equation into standard orm : + P ( y = Q (. d Identiy P( and Q(. Find P( d. P ( d 4 Let ρ ( = e. y= Q ( ρ ( d + C ρ (

Eample : Solve the dierential equation: y '+ y = 0 Solution: y '+ y = 0, divide by 0 y '+ y =, y '+ P( y = Q(. ρ ( = e P ( d with =e d P( =, Q( =, =e ln =. e n ln n =. 5 ρ ( Q( d = ( d = d = 5 + C. 4 Thus 5 C y= ρ ( Q( d + C = + C = +. ρ ( 5 5 [ ]

Eample : Solve the ollowing dierential equations: y '+ y = e. π y '+ y = sin, y ( =. y ' y = ( > 0. dy 4 y =, y (0 =. d dy 5 + y = 0. d + e Solution: ρ ( = e 6 y '+ y =, y (0 =. 7 y '+ y = cos(e. dy 8 + y =, y ( =. d dy 9 + 0 y =. d y '+ P( y = Q(. d P( =, Q( = e, =e. ρ ( Q( d = e y= ρ ( with (e d = e d = e + C. ρ ( Q ( d + C = e + C = e + Ce. e [,,4,5,6,7,8,9 Quizes. ] (