2.1 Derivatives and Rates of Change

Size: px
Start display at page:

Download "2.1 Derivatives and Rates of Change"

Transcription

1 1a 1b 2.1 Derivatives an Rates of Change Tangent Lines Example. Consier y f x x x-, 0 4 y-, f(x) axes, curve C Consier a smooth curve C. A line tangent to C at a point P both intersects C at P an has the same slope as C at P. a line t The Tangent Line Problem Given point P on curve C, how o you fin the tangent line? What is the equation of the line tangent to the curve at x 1? a P, line Point-slope form for a straight line passing through P(1,1) y 1 m(x 1)

2 2a 2b What is the slope m? What is the slope of the secant passing through P(1,1) an Q 1 2,4? a Q 1, PQ 1 m PQ1 Δy Δx f 2 f(1) What is the slope of the secant passing through P(1,1) an Q 2 1.5, f 1.5? a Q 2, PQ 2 m PQ2 f 1.5 f(1) m PQ f(x) f(1) x 1 this ratio is calle a ifference quotient x 2 1 x 1 (x 1)(x+1) x 1 x + 1, x 1 unefine, x 1 As long as x 1, m PQ x + 1 x m PQ The slope of the tangent line is the limit of the ifference quotient as x 1. m lim x 1 x What is the slope of the secant line passing through P(1,1) an Q(x, x 2 )? The equation of the tangent line is y 1 2(x 1)

3 3a 3b Example. Fin an equation of the line tangent to the curve g x x + 1 at P(3,2). Point slope form of the tangent line y 2 m(x 3) where m lim x 3 g x g(3) x 3 simplify the ifference quotient g x g(3) x 3 x+1 2 x 3 multiply by 1 to rationalize the numerator m lim x 3 1 x Equation of tangent line y 2 1 (x 3) 4 The Velocity Problem Drive to Spokane airport (~85 miles) Start at noon Drive slowly through Colfax Have lunch at Harvester x+1 2 x 3 x+1 4 x+1+2 x+1+2 x 3 ( x+1+2) cancel factors of x 3 Thus 1 x+1+2 true if x 3 Arrive 2pm Average velocity 42.5 mph istance travele time elapse 85 miles 2 hours The speeometer 5 miles north of Colfax reas 65 mph. This is the instantaneous velocity. Mathematical efinition of instantaneous velocity?

4 4a Galileo rops a ball off the leaning Tower of Pisa sketch groun, tower, coorinate s with origin at top What is the average velocity between t 1 an t 2? 4b Average velocity s 2 s(1) meters secon istance travele time elapse ball falls istance s at time t after release. s(t) 5t 2 s meters, t secons 0 2 t-, s-, curve What is the average velocity between t 1 an a variable t? Average velocity s t s(1) t 1 5 t 2 5 t 1 5 (t 2 1) t 1 5 t 1 (t+1) t 1 5(t + 1) as long as t 1.

5 5a 5b Table t average velocity (meters per sec.) Derivatives Define the erivative of a function f at a number a, enote f (a) f a lim x a f x f(a) x a [1] Define instantaneous velocity at t 1 as the limit of average velocities over shorter an shorter time intervals aroun t 1. Denote instantaneous velocity v(t). From the example above v 1 s 1 lim t 1 s t s(1) t 1 Alternatively, introuce. v 1 lim t 1 s t s(1) t 1 x a x a + lim t 1 5(t + 1) 10 meters secon an insert in equation [1] to get f a lim 0 f a+ f(a) [2]

6 6a 6b 2.2 The Derivative as a Function Graph an compare f(x) an f (x) x-, y-, f(x) Replace the symbol a in [2] by x. Regar x as a variable. f x lim 0 f x+ f(x) Regar f as a new function. Example. Let f x x 2. Fin f (x) x-, y-, f (x) Simplify the ifference quotient f x+ f(x) x+ 2 x 2 x 2 +2x+ 2 x 2 2x+ 2 2x + this step assumes 0 Then f x lim 0 2x + 2x a tangent segments at x 1, 0, 1 to graph of f a ots at x 1, 0, 1 to graph of f

7 7a 7b Example. Let g x x + 1. Fin g (x).?? Transparency: match f an f Simplify the ifference quotient g x+ g(x) x++1 x+1 rationalize numerator by multiplying by 1 x++1 x+1 multiply terms in numerator x++1 (x+1) x++1+ x+1 x++1+ x+1 x++1+ x+1 ivie through by (assumes 0) Then 1 x++1+ x+1 g x lim 0 1 x++1+ x+1 Notations for Derivative original function: y f(x) erivative function: f x y prime notation emphasizes iea of erivative as a new function f (x) the prime means ifferentiate with respect to function argument evaluate at no. a f (a) 1 2 x+1 Show transparency comparing g an g

8 8a 8b Leibniz notation emphasizes iea of erivative as the limit of a ratio x x +,, f, Δx, f x + f x Δy Operator notation for erivative Sometimes we write f x f or f x Df view an D as operators: machines that convert the functions they operate on into other functions lim 0 f x+ f(x) Δy lim 0 y Δx evaluate at no. a y a Differentiability f ifferentiable at a means f (a) exists f ifferentiable on an open interval (a, b) means f is ifferentiable at every point in (a, b)

9 9a 9b Example (a function not ifferentiable at a point) f x x Is f ifferentiable at x 0? Geometrical Iea axes, graph of x, no tangent line here (at origin) if so f 0 lim 0 f 0+ f(0) f lim h lim 0 oes this limit exist? fin the limit from the right lim 0+ lim 0 1 fin the limit from the left lim 0 lim 0 1 the right an left han limit o not agree. conclue f (0) oes not exist To be ifferentiable at point, the graph must have a unique tangent line at that point.

10 10a 10b Three ways that a function can fail to be ifferentiable (c) at a vertical tangent a,, function w/ a vertical tangent at a (a) at any iscontinuity a,, function with cty at a lim x a f x, f (a) DNE lim 0 f a+ f(a) DNE (b) at any corner or kink a,, function with a kink at a lim 0 f a+ f(a) DNE

11 11a Relationship between ifferentiability an continuity We have shown: if f is not continuous then f is not ifferentiable Let A be the statement f is continuous at a no. x Let B be the statement f is ifferentiable at x We have shown If (not A) then (not B) This is logically equivalent to If B then A Higher Derivatives Consier y f(x) First erivative of f y f (x) 11b Regare as a function, f may itself be ifferentiable. Secon erivative of f 2 y 2 f (x) If f (x) is ifferentiable, form the thir erivative 3 y 3 f (x) If f (x) is ifferentiable, form the fourth erivative 4 y 4 f 4 (x) Notation for the n T erivative, with n 4: If f is ifferentiable at x then it is continuous at x n y n f n (x)

12 12a 12b Application of higher erivatives 2.3 Basic Differentiation Rules Let s(t) be the position of an object at time t. s t s t v(t) is the velocity of the object We first consier those rules that will enable us to ifferentiate polynomials. Derivative of a Constant Function x-, 0 c y-, line y c s t v t a(t) is the acceleration of the object First an secon erivatives are the most important in applications Example. Mechanics slope of tangent line? c 0 Derivative of f x x 0 x-, 0 y-, y x momentum mass velocity force mass acceleration slope of tangent line? x 1

13 13a 13b Derivative of g x x 2 We have seen that g x 2x The Power Rule. Let n be a positive integer xn nx n 1 Derivative of F x x 3 Example. x7 7x 6. F x lim 0 F x+ F(x) simplify the ifference quotient F x+ F(x) thus x+ 3 x 3 x 3 +3x 2 +3x x 3 3x 2 +3x x 2 + 3x + 3 assumes 0 F x lim 0 3x 2 + 3x + 2 3x 2 Proof. Preliminary fact: x a (x n 1 + x n 2 a + x n 3 a xa n 2 + a n 1 ) x n + x n 1 a + x n 2 a xa n 1 x n 1 a x n 2 a 2 xa n 1 a n x n in other wors x n a n x a xn 1 + x n 2 a + xa n 2 + a n 1 a n notice there are n terms on the right han sie

14 14a 14b Let f x x n f x a lim n a n x a x a lim x a (x n 1 + x n 2 a + xa n 2 + a n 1 ) a n 1 + a n 2 a + aa n 2 + a n 1 na n 1 Regar a as a variable. Replace a by x. f x nx n 1???? x 1 2 x 1 2 recall x x 1 2 t 1 t u u 2 The Constant Multiple Rule Let c be a constant an f a ifferentiable function cf x c f(x) The Power Rule (general version) Let n be any real number. xn nx n 1 a constant passes through the limit symbol Examples. 5x2 5 x2 5 2x 10x?? t 10 7 t Examples. x 9 9x 10 t t 2 2t 3?? w 5 w π

15 15a 15b The Sum Rule If f an g are both ifferentiable The Difference Rule If f an g are both ifferentiable f x + g x f x + g(x) f x g x f x g(x) In wors: the erivative of a sum is the sum of the erivatives prime notation f x + g x f x + g (x) shorthan f + g f + g the sum rule applies to the sum of any number of functions f + g + f + g + In wors: the erivative of a ifference is the ifference of the erivatives prime notation f x g x f x g (x) shorthan f g f g Example.?? x3 5x 2 Example x3 + 5x 2 + π 3x x + 0

16 16a We can now ifferentiate any polynomial Example. Let g x 5x 8 2x then g x 5x8 2x x8 2 x x 7 2 5x x 7 10x 4 We can ifferentiate other functions too. Example. Let 3 u t 2 Fin u t + 2 t 3 16b Example. Fin an equation of the line tangent to the curve y 3x x at the point (1,7) point slope form for straight line y y 0 m(x x 0 ) where x 0, y 0 (1,7) what is m? y 3 2x + 4 x 2 6x 4x 2 m y x answer y 7 2(x 1) u t t 3 2 u 2 3 t 3 t t t t 2

17 17a 17b?? Example. A ball is thrown straight up from the groun at 20 meters/secon. Its height is given by y 20 t 5 t 2 (a) Fin the velocity at time t. (b) Fin the velocity at t 1sec. (c) When is the ball at rest? () What is the average velocity between t 1 an t 2? Economics Marginal cost C x cost to prouce x wigets average rate of change of cost C x 2 C(x 1 ) x 2 x 1 marginal cost lim Δx 0 ΔC Δx C (x) ΔC Δx Example. Jeans manufacture. Let C x cost of proucing x pairs of jeans. where x x 2 $2000 capital costs (sewing machines) 3x x 2 cost of labor, materials, rent Cost of proucing 100 pairs of jeans C What is the cost of proucing one aitional pair of jeans? C x x x C x x x 2 C x + 1 C x x x (2x + 1)

18 18a 18b Cost of proucing the 101 ST pair C 101 C (201) Recall the aition formula for cosine cos a + b cos a cos b sin a sin (b) $5.01 Now use the limit efinition of erivative Compare with the marginal cost at 100 th pair C x x C 100 $5 cos x lim 0 cos x+ cos (x) aition formula for cosine lim 0 cos x cos sin x sin cos (x) C (x) is often a very goo approximation to the cost of proucing one aitional wiget. lim 0 cos x cos 1 ifference law for limits sin () lim 0 sin (x) constant multiple law of limits Derivatives of Sine an Cosine Recall the limits lim x 0 sin (x) x lim x 0 cos x 1 x 1 0 cos x lim 0 cos 1 recalling the limits above sin x lim 0 sin () cos x 0 sin x 1 sin (x)

19 19a 19b The erivative of sin (x) may be foun using a similar argument (see our text). In summary: sin x cos x cos x sin (x)?? Differentiate the following 1. f t sin t + π cos (t) 2.4 The Prouct an Quotient Rules Prouct Rule If f an g are both ifferentiable f x g x f x g x + g x f(x) or alternately (as I personally prefer) f x g x f x g x + f x g x prime notation f x g x f x g x + f x g (x) shorthan fg f g + fg 2. g y A + B cos(y) y 10 WARNING: fg f g The erivative of a prouct is not the prouct of erivatives This is a common mistake!

20 20a Example. By the power rule x3 3x 2 Now let f x 2 an g x then f 2x an g 1 x3 (fg) f g + fg 2x x + x 2 1 3x 2 Proof of the Prouct Rule Suppose f an g are both ifferentiable functions. Let f x g x F(x) then f x g x F(x) lim 0 F x+ F(x) lim 0 f x+ g x+ f x g(x) 20b subtract an a the same term in the numerator lim 0 f x+ g x+ f x+ g x +f x+ g x f x g(x) g x + g(x) lim[ f x + 0 f x + f(x) + g x ] algebra sum an prouct laws for limits lim 0 f x + lim 0 g x + g(x) + lim 0 g x lim 0 f x+ f(x) continuity of f an efinition of erivative f x g x + g x f (x)

21 21a 21b Prouct rule Extension to a Prouct of Three Functions If f, g an are all ifferentiable F x x 1 sin x + x 1 sin x x 2 sin x + x 1 cos(x) f g f g + f g + f g sin (x) x 2 + cos (x) x Example. Let f x g x x x then f g 1 x3 f g + f g + f g 1 x x + x 1 x + x x 1 3x 2 Example. Differentiate F x Law of exponents: 1 x x 1 sin (x) x. Quotient Rule If f an g are ifferentiable at a point x where g x 0 then f(x) g(x) shorthan f g f g fg g 2 f x g x f x g(x) g x 2 terms in numerator in same orer as my prouct rule (but take ifference) Then F x x 1 sin (x) Proof of quotient rule.

22 22a Let f g Then f g By prouct rule f g + g Solve for g f g f g g f g g f g 2 Example. Differentiate G x x+1 x 1. G x x+1 x 1 x+1 x 1 (x 1) 2 where x + 1 is shorthan for (x + 1) x 1 (x+1) (x 1) 2 2 x b Example. Fin the equations of the tangent lines to the curve G x (x+1) (x 1) that are parallel to the line x + 2y 2. Solution. Parallel means same slope. Slope of line? 2y 2 x y x slope is m 1 2 where oes G have slope 1 2? G 2 1 x x x x 1 or x 3 solve for x form of equation for tangent line

23 23a 23b y y 0 m(x x 0 ) Consier x 0 1. y 0 G y 1 2 x + 1 Consier x 0 3. y 0 G y 2 1 (x 3) 2?? Class practice prouct an quotient rules

Chapter 3 Definitions and Theorems

Chapter 3 Definitions and Theorems Chapter 3 Definitions an Theorems (from 3.1) Definition of Tangent Line with slope of m If f is efine on an open interval containing c an the limit Δy lim Δx 0 Δx = lim f (c + Δx) f (c) = m Δx 0 Δx exists,

More information

Define each term or concept.

Define each term or concept. Chapter Differentiation Course Number Section.1 The Derivative an the Tangent Line Problem Objective: In this lesson you learne how to fin the erivative of a function using the limit efinition an unerstan

More information

Section 2.1 The Derivative and the Tangent Line Problem

Section 2.1 The Derivative and the Tangent Line Problem Chapter 2 Differentiation Course Number Section 2.1 The Derivative an the Tangent Line Problem Objective: In this lesson you learne how to fin the erivative of a function using the limit efinition an unerstan

More information

DERIVATIVES: LAWS OF DIFFERENTIATION MR. VELAZQUEZ AP CALCULUS

DERIVATIVES: LAWS OF DIFFERENTIATION MR. VELAZQUEZ AP CALCULUS DERIVATIVES: LAWS OF DIFFERENTIATION MR. VELAZQUEZ AP CALCULUS THE DERIVATIVE AS A FUNCTION f x = lim h 0 f x + h f(x) h Last class we examine the limit of the ifference quotient at a specific x as h 0,

More information

Math 115 Section 018 Course Note

Math 115 Section 018 Course Note Course Note 1 General Functions Definition 1.1. A function is a rule that takes certain numbers as inputs an assigns to each a efinite output number. The set of all input numbers is calle the omain of

More information

1 Definition of the derivative

1 Definition of the derivative Math 20A - Calculus by Jon Rogawski Chapter 3 - Differentiation Prepare by Jason Gais Definition of the erivative Remark.. Recall our iscussion of tangent lines from way back. We now rephrase this in terms

More information

Solutions to Practice Problems Tuesday, October 28, 2008

Solutions to Practice Problems Tuesday, October 28, 2008 Solutions to Practice Problems Tuesay, October 28, 2008 1. The graph of the function f is shown below. Figure 1: The graph of f(x) What is x 1 + f(x)? What is x 1 f(x)? An oes x 1 f(x) exist? If so, what

More information

Using the definition of the derivative of a function is quite tedious. f (x + h) f (x)

Using the definition of the derivative of a function is quite tedious. f (x + h) f (x) Derivative Rules Using te efinition of te erivative of a function is quite teious. Let s prove some sortcuts tat we can use. Recall tat te efinition of erivative is: Given any number x for wic te limit

More information

x f(x) x f(x) approaching 1 approaching 0.5 approaching 1 approaching 0.

x f(x) x f(x) approaching 1 approaching 0.5 approaching 1 approaching 0. Engineering Mathematics 2 26 February 2014 Limits of functions Consier the function 1 f() = 1. The omain of this function is R + \ {1}. The function is not efine at 1. What happens when is close to 1?

More information

Calculus I Announcements

Calculus I Announcements Slie 1 Calculus I Announcements Office Hours: Amos Eaton 309, Monays 12:50-2:50 Exam 2 is Thursay, October 22n. The stuy guie is now on the course web page. Start stuying now, an make a plan to succee.

More information

Differentiability, Computing Derivatives, Trig Review

Differentiability, Computing Derivatives, Trig Review Unit #3 : Differentiability, Computing Derivatives, Trig Review Goals: Determine when a function is ifferentiable at a point Relate the erivative graph to the the graph of an original function Compute

More information

Differentiation ( , 9.5)

Differentiation ( , 9.5) Chapter 2 Differentiation (8.1 8.3, 9.5) 2.1 Rate of Change (8.2.1 5) Recall that the equation of a straight line can be written as y = mx + c, where m is the slope or graient of the line, an c is the

More information

Math Chapter 2 Essentials of Calculus by James Stewart Prepared by Jason Gaddis

Math Chapter 2 Essentials of Calculus by James Stewart Prepared by Jason Gaddis Math 231 - Chapter 2 Essentials of Calculus by James Stewart Prepare by Jason Gais Chapter 2 - Derivatives 21 - Derivatives an Rates of Change Definition A tangent to a curve is a line that intersects

More information

x f(x) x f(x) approaching 1 approaching 0.5 approaching 1 approaching 0.

x f(x) x f(x) approaching 1 approaching 0.5 approaching 1 approaching 0. Engineering Mathematics 2 26 February 2014 Limits of functions Consier the function 1 f() = 1. The omain of this function is R + \ {1}. The function is not efine at 1. What happens when is close to 1?

More information

Make graph of g by adding c to the y-values. on the graph of f by c. multiplying the y-values. even-degree polynomial. graph goes up on both sides

Make graph of g by adding c to the y-values. on the graph of f by c. multiplying the y-values. even-degree polynomial. graph goes up on both sides Reference 1: Transformations of Graphs an En Behavior of Polynomial Graphs Transformations of graphs aitive constant constant on the outsie g(x) = + c Make graph of g by aing c to the y-values on the graph

More information

1 Lecture 18: The chain rule

1 Lecture 18: The chain rule 1 Lecture 18: The chain rule 1.1 Outline Comparing the graphs of sin(x) an sin(2x). The chain rule. The erivative of a x. Some examples. 1.2 Comparing the graphs of sin(x) an sin(2x) We graph f(x) = sin(x)

More information

f(x) f(a) Limit definition of the at a point in slope notation.

f(x) f(a) Limit definition of the at a point in slope notation. Lesson 9: Orinary Derivatives Review Hanout Reference: Brigg s Calculus: Early Transcenentals, Secon Eition Topics: Chapter 3: Derivatives, p. 126-235 Definition. Limit Definition of Derivatives at a point

More information

Differentiability, Computing Derivatives, Trig Review. Goals:

Differentiability, Computing Derivatives, Trig Review. Goals: Secants vs. Derivatives - Unit #3 : Goals: Differentiability, Computing Derivatives, Trig Review Determine when a function is ifferentiable at a point Relate the erivative graph to the the graph of an

More information

JUST THE MATHS UNIT NUMBER DIFFERENTIATION 2 (Rates of change) A.J.Hobson

JUST THE MATHS UNIT NUMBER DIFFERENTIATION 2 (Rates of change) A.J.Hobson JUST THE MATHS UNIT NUMBER 10.2 DIFFERENTIATION 2 (Rates of change) by A.J.Hobson 10.2.1 Introuction 10.2.2 Average rates of change 10.2.3 Instantaneous rates of change 10.2.4 Derivatives 10.2.5 Exercises

More information

3.1 Day 1: The Derivative of a Function

3.1 Day 1: The Derivative of a Function A P Calculus 3.1 Day 1: The Derivative of a Function I CAN DEFINE A DERIVATIVE AND UNDERSTAND ITS NOTATION. Last chapter we learned to find the slope of a tangent line to a point on a graph by using a

More information

2.2 The derivative as a Function

2.2 The derivative as a Function 2.2 The derivative as a Function Recall: The derivative of a function f at a fixed number a: f a f a+h f(a) = lim h 0 h Definition (Derivative of f) For any number x, the derivative of f is f x f x+h f(x)

More information

Calculus in the AP Physics C Course The Derivative

Calculus in the AP Physics C Course The Derivative Limits an Derivatives Calculus in the AP Physics C Course The Derivative In physics, the ieas of the rate change of a quantity (along with the slope of a tangent line) an the area uner a curve are essential.

More information

Calculus I. 1. Limits and Continuity

Calculus I. 1. Limits and Continuity 2301107 Calculus I 1. Limits and Continuity Outline 1.1. Limits 1.1.1 Motivation:Tangent 1.1.2 Limit of a function 1.1.3 Limit laws 1.1.4 Mathematical definition of a it 1.1.5 Infinite it 1.1. Continuity

More information

DRAFT - Math 101 Lecture Note - Dr. Said Algarni

DRAFT - Math 101 Lecture Note - Dr. Said Algarni 2 Limits 2.1 The Tangent Problems The word tangent is derived from the Latin word tangens, which means touching. A tangent line to a curve is a line that touches the curve and a secant line is a line that

More information

x = c of N if the limit of f (x) = L and the right-handed limit lim f ( x)

x = c of N if the limit of f (x) = L and the right-handed limit lim f ( x) Limit We say the limit of f () as approaches c equals L an write, lim L. One-Sie Limits (Left an Right-Hane Limits) Suppose a function f is efine near but not necessarily at We say that f has a left-hane

More information

1 Lecture 13: The derivative as a function.

1 Lecture 13: The derivative as a function. 1 Lecture 13: Te erivative as a function. 1.1 Outline Definition of te erivative as a function. efinitions of ifferentiability. Power rule, erivative te exponential function Derivative of a sum an a multiple

More information

Chapter 3 Notes, Applied Calculus, Tan

Chapter 3 Notes, Applied Calculus, Tan Contents 3.1 Basic Rules of Differentiation.............................. 2 3.2 The Prouct an Quotient Rules............................ 6 3.3 The Chain Rule...................................... 9 3.4

More information

February 21 Math 1190 sec. 63 Spring 2017

February 21 Math 1190 sec. 63 Spring 2017 February 21 Math 1190 sec. 63 Spring 2017 Chapter 2: Derivatives Let s recall the efinitions an erivative rules we have so far: Let s assume that y = f (x) is a function with c in it s omain. The erivative

More information

MATH2231-Differentiation (2)

MATH2231-Differentiation (2) -Differentiation () The Beginnings of Calculus The prime occasion from which arose my iscovery of the metho of the Characteristic Triangle, an other things of the same sort, happene at a time when I ha

More information

Unit IV Derivatives 20 Hours Finish by Christmas

Unit IV Derivatives 20 Hours Finish by Christmas Unit IV Derivatives 20 Hours Finish by Christmas Calculus There two main streams of Calculus: Differentiation Integration Differentiation is used to find the rate of change of variables relative to one

More information

Differentiation Rules and Formulas

Differentiation Rules and Formulas Differentiation Rules an Formulas Professor D. Olles December 1, 01 1 Te Definition of te Derivative Consier a function y = f(x) tat is continuous on te interval a, b]. Ten, te slope of te secant line

More information

QF101: Quantitative Finance September 5, Week 3: Derivatives. Facilitator: Christopher Ting AY 2017/2018. f ( x + ) f(x) f(x) = lim

QF101: Quantitative Finance September 5, Week 3: Derivatives. Facilitator: Christopher Ting AY 2017/2018. f ( x + ) f(x) f(x) = lim QF101: Quantitative Finance September 5, 2017 Week 3: Derivatives Facilitator: Christopher Ting AY 2017/2018 I recoil with ismay an horror at this lamentable plague of functions which o not have erivatives.

More information

Unit IV Derivatives 20 Hours Finish by Christmas

Unit IV Derivatives 20 Hours Finish by Christmas Unit IV Derivatives 20 Hours Finish by Christmas Calculus There two main streams of Calculus: Differentiation Integration Differentiation is used to find the rate of change of variables relative to one

More information

Antiderivatives Introduction

Antiderivatives Introduction Antierivatives 40. Introuction So far much of the term has been spent fining erivatives or rates of change. But in some circumstances we alreay know the rate of change an we wish to etermine the original

More information

SECTION 3.2 THE PRODUCT AND QUOTIENT RULES 1 8 3

SECTION 3.2 THE PRODUCT AND QUOTIENT RULES 1 8 3 SECTION 3.2 THE PRODUCT AND QUOTIENT RULES 8 3 L P f Q L segments L an L 2 to be tangent to the parabola at the transition points P an Q. (See the figure.) To simplify the equations you ecie to place the

More information

By writing (1) as y (x 5 1). (x 5 1), we can find the derivative using the Product Rule: y (x 5 1) 2. we know this from (2)

By writing (1) as y (x 5 1). (x 5 1), we can find the derivative using the Product Rule: y (x 5 1) 2. we know this from (2) 3.5 Chain Rule 149 3.5 Chain Rule Introuction As iscusse in Section 3.2, the Power Rule is vali for all real number exponents n. In this section we see that a similar rule hols for the erivative of a power

More information

The derivative of a function f(x) is another function, defined in terms of a limiting expression: f(x + δx) f(x)

The derivative of a function f(x) is another function, defined in terms of a limiting expression: f(x + δx) f(x) Y. D. Chong (2016) MH2801: Complex Methos for the Sciences 1. Derivatives The erivative of a function f(x) is another function, efine in terms of a limiting expression: f (x) f (x) lim x δx 0 f(x + δx)

More information

SYDE 112, LECTURE 1: Review & Antidifferentiation

SYDE 112, LECTURE 1: Review & Antidifferentiation SYDE 112, LECTURE 1: Review & Antiifferentiation 1 Course Information For a etaile breakown of the course content an available resources, see the Course Outline. Other relevant information for this section

More information

4.2 First Differentiation Rules; Leibniz Notation

4.2 First Differentiation Rules; Leibniz Notation .. FIRST DIFFERENTIATION RULES; LEIBNIZ NOTATION 307. First Differentiation Rules; Leibniz Notation In this section we erive rules which let us quickly compute the erivative function f (x) for any polynomial

More information

Vectors in two dimensions

Vectors in two dimensions Vectors in two imensions Until now, we have been working in one imension only The main reason for this is to become familiar with the main physical ieas like Newton s secon law, without the aitional complication

More information

MAT137 Calculus! Lecture 6

MAT137 Calculus! Lecture 6 MAT137 Calculus! Lecture 6 Today: 3.2 Differentiation Rules; 3.3 Derivatives of higher order. 3.4 Related rates 3.5 Chain Rule 3.6 Derivative of Trig. Functions Next: 3.7 Implicit Differentiation 4.10

More information

Section 2.7 Derivatives of powers of functions

Section 2.7 Derivatives of powers of functions Section 2.7 Derivatives of powers of functions (3/19/08) Overview: In this section we iscuss the Chain Rule formula for the erivatives of composite functions that are forme by taking powers of other functions.

More information

Solutions to Math 41 Second Exam November 4, 2010

Solutions to Math 41 Second Exam November 4, 2010 Solutions to Math 41 Secon Exam November 4, 2010 1. (13 points) Differentiate, using the metho of your choice. (a) p(t) = ln(sec t + tan t) + log 2 (2 + t) (4 points) Using the rule for the erivative of

More information

Basic Differentiation Rules and Rates of Change. The Constant Rule

Basic Differentiation Rules and Rates of Change. The Constant Rule 460_00.q //04 4:04 PM Page 07 SECTION. Basic Differentiation Rules an Rates of Change 07 Section. The slope of a horizontal line is 0. Basic Differentiation Rules an Rates of Change Fin the erivative of

More information

Math 210 Midterm #1 Review

Math 210 Midterm #1 Review Math 20 Miterm # Review This ocument is intene to be a rough outline of what you are expecte to have learne an retaine from this course to be prepare for the first miterm. : Functions Definition: A function

More information

Single Variable Calculus Warnings

Single Variable Calculus Warnings Single Variable Calculus Warnings These notes highlight number of common, but serious, first year calculus errors. Warning. The formula g(x) = g(x) is vali only uner the hypothesis g(x). Discussion. In

More information

OBJECTIVE Find limits of functions, if they exist, using numerical or graphical methods.

OBJECTIVE Find limits of functions, if they exist, using numerical or graphical methods. 1.1 Limits: A Numerical and Graphical Approach OBJECTIVE Find limits of functions, if they exist, using numerical or graphical methods. 1.1 Limits: A Numerical and Graphical Approach DEFINITION: As x approaches

More information

Tutorial 1 Differentiation

Tutorial 1 Differentiation Tutorial 1 Differentiation What is Calculus? Calculus 微積分 Differential calculus Differentiation 微分 y lim 0 f f The relation of very small changes of ifferent quantities f f y y Integral calculus Integration

More information

MATH 151 Engineering Mathematics I

MATH 151 Engineering Mathematics I MATH 151 Engineering Mathematics I Fall, 2016, WEEK 4 JoungDong Kim Week4 Section 2.6, 2.7, 3.1 Limits at infinity, Velocity, Differentiation Section 2.6 Limits at Infinity; Horizontal Asymptotes Definition.

More information

MATH 1300 Lecture Notes Wednesday, September 25, 2013

MATH 1300 Lecture Notes Wednesday, September 25, 2013 MATH 300 Lecture Notes Wenesay, September 25, 203. Section 3. of HH - Powers an Polynomials In this section 3., you are given several ifferentiation rules that, taken altogether, allow you to quickly an

More information

p105 Section 2.2: Basic Differentiation Rules and Rates of Change

p105 Section 2.2: Basic Differentiation Rules and Rates of Change 1 2 3 4 p105 Section 2.2: Basic Differentiation Rules and Rates of Change Find the derivative of a function using the Constant Rule Find the derivative of a function using the Power Rule Find the derivative

More information

3.2 Differentiability

3.2 Differentiability Section 3 Differentiability 09 3 Differentiability What you will learn about How f (a) Might Fail to Eist Differentiability Implies Local Linearity Numerical Derivatives on a Calculator Differentiability

More information

Section 3.1/3.2: Rules of Differentiation

Section 3.1/3.2: Rules of Differentiation : Rules of Differentiation Math 115 4 February 2018 Overview 1 2 Four Theorem for Derivatives Suppose c is a constant an f, g are ifferentiable functions. Then 1 2 3 4 x (c) = 0 x (x n ) = nx n 1 x [cf

More information

Differentiation Rules Derivatives of Polynomials and Exponential Functions

Differentiation Rules Derivatives of Polynomials and Exponential Functions Derivatives of Polynomials an Exponential Functions Differentiation Rules Derivatives of Polynomials an Exponential Functions Let s start with the simplest of all functions, the constant function f(x)

More information

Lecture 4 : General Logarithms and Exponentials. a x = e x ln a, a > 0.

Lecture 4 : General Logarithms and Exponentials. a x = e x ln a, a > 0. For a > 0 an x any real number, we efine Lecture 4 : General Logarithms an Exponentials. a x = e x ln a, a > 0. The function a x is calle the exponential function with base a. Note that ln(a x ) = x ln

More information

80 Wyner PreCalculus Spring 2017

80 Wyner PreCalculus Spring 2017 80 Wyner PreCalculus Spring 2017 CHAPTER NINE: DERIVATIVES Review May 16 Test May 23 Calculus begins with the study of rates of change, called derivatives. For example, the derivative of velocity is acceleration

More information

Chapter 3 Derivatives

Chapter 3 Derivatives Chapter Derivatives Section 1 Derivative of a Function What you ll learn about The meaning of differentiable Different ways of denoting the derivative of a function Graphing y = f (x) given the graph of

More information

Announcements. Topics: Homework:

Announcements. Topics: Homework: Topics: Announcements - section 2.6 (limits at infinity [skip Precise Definitions (middle of pg. 134 end of section)]) - sections 2.1 and 2.7 (rates of change, the derivative) - section 2.8 (the derivative

More information

Chapter 2 Derivatives

Chapter 2 Derivatives Chapter Derivatives Section. An Intuitive Introuction to Derivatives Consier a function: Slope function: Derivative, f ' For each, the slope of f is the height of f ' Where f has a horizontal tangent line,

More information

The derivative of a constant function is 0. That is,

The derivative of a constant function is 0. That is, NOTES 3: DIFFERENTIATION RULES Name: Date: Perio: LESSON 3. DERIVATIVE OF POLYNOMIALS AND EXPONENTIAL FUNCTIONS Eample : Prove f ( ) 6 is not ifferentiable at 4. Practice Problems: Fin f '( ) using the

More information

1 Lecture 20: Implicit differentiation

1 Lecture 20: Implicit differentiation Lecture 20: Implicit ifferentiation. Outline The technique of implicit ifferentiation Tangent lines to a circle Derivatives of inverse functions by implicit ifferentiation Examples.2 Implicit ifferentiation

More information

Final Exam Study Guide and Practice Problems Solutions

Final Exam Study Guide and Practice Problems Solutions Final Exam Stuy Guie an Practice Problems Solutions Note: These problems are just some of the types of problems that might appear on the exam. However, to fully prepare for the exam, in aition to making

More information

Tangent Lines Sec. 2.1, 2.7, & 2.8 (continued)

Tangent Lines Sec. 2.1, 2.7, & 2.8 (continued) Tangent Lines Sec. 2.1, 2.7, & 2.8 (continued) Prove this Result How Can a Derivative Not Exist? Remember that the derivative at a point (or slope of a tangent line) is a LIMIT, so it doesn t exist whenever

More information

Unit #4 - Inverse Trig, Interpreting Derivatives, Newton s Method

Unit #4 - Inverse Trig, Interpreting Derivatives, Newton s Method Unit #4 - Inverse Trig, Interpreting Derivatives, Newton s Metho Some problems an solutions selecte or aapte from Hughes-Hallett Calculus. Computing Inverse Trig Derivatives. Starting with the inverse

More information

AP Calculus AB One Last Mega Review Packet of Stuff. Take the derivative of the following. 1.) 3.) 5.) 7.) Determine the limit of the following.

AP Calculus AB One Last Mega Review Packet of Stuff. Take the derivative of the following. 1.) 3.) 5.) 7.) Determine the limit of the following. AP Calculus AB One Last Mega Review Packet of Stuff Name: Date: Block: Take the erivative of the following. 1.) x (sin (5x)).) x (etan(x) ) 3.) x (sin 1 ( x3 )) 4.) x (x3 5x) 4 5.) x ( ex sin(x) ) 6.)

More information

Calculus I Practice Test Problems for Chapter 3 Page 1 of 9

Calculus I Practice Test Problems for Chapter 3 Page 1 of 9 Calculus I Practice Test Problems for Chapter 3 Page of 9 This is a set of practice test problems for Chapter 3. This is in no wa an inclusive set of problems there can be other tpes of problems on the

More information

The derivative of a constant function is 0. That is,

The derivative of a constant function is 0. That is, NOTES : DIFFERENTIATION RULES Name: LESSON. DERIVATIVE OF POLYNOMIALS AND EXPONENTIAL FUNCTIONS Date: Perio: Mrs. Nguyen s Initial: Eample : Prove f ( ) 4 is not ifferentiable at. Practice Problems: Fin

More information

Topic 2.3: The Geometry of Derivatives of Vector Functions

Topic 2.3: The Geometry of Derivatives of Vector Functions BSU Math 275 Notes Topic 2.3: The Geometry of Derivatives of Vector Functions Textbook Sections: 13.2 From the Toolbox (what you nee from previous classes): Be able to compute erivatives scalar-value functions

More information

Chapter 2. Exponential and Log functions. Contents

Chapter 2. Exponential and Log functions. Contents Chapter. Exponential an Log functions This material is in Chapter 6 of Anton Calculus. The basic iea here is mainly to a to the list of functions we know about (for calculus) an the ones we will stu all

More information

Exam 2 Review Solutions

Exam 2 Review Solutions Exam Review Solutions 1. True or False, an explain: (a) There exists a function f with continuous secon partial erivatives such that f x (x, y) = x + y f y = x y False. If the function has continuous secon

More information

Math 251 Notes. Part I.

Math 251 Notes. Part I. Math 251 Notes. Part I. F. Patricia Meina May 6, 2013 Growth Moel.Consumer price inex. [Problem 20, page 172] The U.S. consumer price inex (CPI) measures the cost of living base on a value of 100 in the

More information

3.7 Implicit Differentiation -- A Brief Introduction -- Student Notes

3.7 Implicit Differentiation -- A Brief Introduction -- Student Notes Fin these erivatives of these functions: y.7 Implicit Differentiation -- A Brief Introuction -- Stuent Notes tan y sin tan = sin y e = e = Write the inverses of these functions: y tan y sin How woul we

More information

5.4 Fundamental Theorem of Calculus Calculus. Do you remember the Fundamental Theorem of Algebra? Just thought I'd ask

5.4 Fundamental Theorem of Calculus Calculus. Do you remember the Fundamental Theorem of Algebra? Just thought I'd ask 5.4 FUNDAMENTAL THEOREM OF CALCULUS Do you remember the Funamental Theorem of Algebra? Just thought I' ask The Funamental Theorem of Calculus has two parts. These two parts tie together the concept of

More information

Lecture 6: Calculus. In Song Kim. September 7, 2011

Lecture 6: Calculus. In Song Kim. September 7, 2011 Lecture 6: Calculus In Song Kim September 7, 20 Introuction to Differential Calculus In our previous lecture we came up with several ways to analyze functions. We saw previously that the slope of a linear

More information

THEOREM: THE CONSTANT RULE

THEOREM: THE CONSTANT RULE MATH /MYERS/ALL FORMULAS ON THIS REVIEW MUST BE MEMORIZED! DERIVATIVE REVIEW THEOREM: THE CONSTANT RULE The erivative of a constant function is zero. That is, if c is a real number, then c 0 Eample 1:

More information

More from Lesson 6 The Limit Definition of the Derivative and Rules for Finding Derivatives.

More from Lesson 6 The Limit Definition of the Derivative and Rules for Finding Derivatives. Math 1314 ONLINE More from Lesson 6 The Limit Definition of the Derivative an Rules for Fining Derivatives Eample 4: Use the Four-Step Process for fining the erivative of the function Then fin f (1) f(

More information

Math 190 Chapter 3 Lecture Notes. Professor Miguel Ornelas

Math 190 Chapter 3 Lecture Notes. Professor Miguel Ornelas Math 190 Chapter 3 Lecture Notes Professor Miguel Ornelas 1 M. Ornelas Math 190 Lecture Notes Section 3.1 Section 3.1 Derivatives of Polynomials an Exponential Functions Derivative of a Constant Function

More information

( 3x +1) 2 does not fit the requirement of the power rule that the base be x

( 3x +1) 2 does not fit the requirement of the power rule that the base be x Section 3 4A: The Chain Rule Introuction The Power Rule is state as an x raise to a real number If y = x n where n is a real number then y = n x n-1 What if we wante to fin the erivative of a variable

More information

Chapter 2: Differentiation

Chapter 2: Differentiation Chapter 2: Differentiation Winter 2016 Department of Mathematics Hong Kong Baptist University 1 / 75 2.1 Tangent Lines and Their Slopes This section deals with the problem of finding a straight line L

More information

d dx [xn ] = nx n 1. (1) dy dx = 4x4 1 = 4x 3. Theorem 1.3 (Derivative of a constant function). If f(x) = k and k is a constant, then f (x) = 0.

d dx [xn ] = nx n 1. (1) dy dx = 4x4 1 = 4x 3. Theorem 1.3 (Derivative of a constant function). If f(x) = k and k is a constant, then f (x) = 0. Calculus refresher Disclaimer: I claim no original content on this ocument, which is mostly a summary-rewrite of what any stanar college calculus book offers. (Here I ve use Calculus by Dennis Zill.) I

More information

4.1 The Derivative: Rates of Change, Velocity and Slope

4.1 The Derivative: Rates of Change, Velocity and Slope Chapter 4 The Derivative The earlier chapters are the analytical prelues to calculus. This chapter begins the stuy calculus proper, starting with the stuy of ifferential calculus, also known as the calculus

More information

Rules of Differentiation

Rules of Differentiation LECTURE 2 Rules of Differentiation At te en of Capter 2, we finally arrive at te following efinition of te erivative of a function f f x + f x x := x 0 oing so only after an extene iscussion as wat te

More information

Chapter 3: Derivatives

Chapter 3: Derivatives Name: Date: Period: AP Calc AB Mr. Mellina Chapter 3: Derivatives Sections: v 2.4 Rates of Change & Tangent Lines v 3.1 Derivative of a Function v 3.2 Differentiability v 3.3 Rules for Differentiation

More information

Pure Further Mathematics 1. Revision Notes

Pure Further Mathematics 1. Revision Notes Pure Further Mathematics Revision Notes June 20 2 FP JUNE 20 SDB Further Pure Complex Numbers... 3 Definitions an arithmetical operations... 3 Complex conjugate... 3 Properties... 3 Complex number plane,

More information

Linear and quadratic approximation

Linear and quadratic approximation Linear an quaratic approximation November 11, 2013 Definition: Suppose f is a function that is ifferentiable on an interval I containing the point a. The linear approximation to f at a is the linear function

More information

Integration Review. May 11, 2013

Integration Review. May 11, 2013 Integration Review May 11, 2013 Goals: Review the funamental theorem of calculus. Review u-substitution. Review integration by parts. Do lots of integration eamples. 1 Funamental Theorem of Calculus In

More information

CHAPTER 3 DERIVATIVES (continued)

CHAPTER 3 DERIVATIVES (continued) CHAPTER 3 DERIVATIVES (continue) 3.3. RULES FOR DIFFERENTIATION A. The erivative of a constant is zero: [c] = 0 B. The Power Rule: [n ] = n (n-1) C. The Constant Multiple Rule: [c *f()] = c * f () D. The

More information

Day 4: Motion Along a Curve Vectors

Day 4: Motion Along a Curve Vectors Day 4: Motion Along a Curve Vectors I give my stuents the following list of terms an formulas to know. Parametric Equations, Vectors, an Calculus Terms an Formulas to Know: If a smooth curve C is given

More information

Flash Card Construction Instructions

Flash Card Construction Instructions Flash Car Construction Instructions *** THESE CARDS ARE FOR CALCULUS HONORS, AP CALCULUS AB AND AP CALCULUS BC. AP CALCULUS BC WILL HAVE ADDITIONAL CARDS FOR THE COURSE (IN A SEPARATE FILE). The left column

More information

Chapter 2: Differentiation

Chapter 2: Differentiation Chapter 2: Differentiation Spring 2018 Department of Mathematics Hong Kong Baptist University 1 / 82 2.1 Tangent Lines and Their Slopes This section deals with the problem of finding a straight line L

More information

18.01 Single Variable Calculus Fall 2006

18.01 Single Variable Calculus Fall 2006 MIT OpenCourseWare http://ocw.mit.eu 8.0 Single Variable Calculus Fall 2006 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.eu/terms. Lecture 8.0 Fall 2006 Unit

More information

Unit #6 - Families of Functions, Taylor Polynomials, l Hopital s Rule

Unit #6 - Families of Functions, Taylor Polynomials, l Hopital s Rule Unit # - Families of Functions, Taylor Polynomials, l Hopital s Rule Some problems an solutions selecte or aapte from Hughes-Hallett Calculus. Critical Points. Consier the function f) = 54 +. b) a) Fin

More information

Techniques of Differentiation. Chapter 2 Section 2 Techniques of Differentiation 109. The Constant Rule For any constant c,

Techniques of Differentiation. Chapter 2 Section 2 Techniques of Differentiation 109. The Constant Rule For any constant c, Chapter 2 Section 2 Techniques of Differentiation 109 UNEMPLOYMENT 34. In economics, the graph in Figure 2.3 is calle the Phillips curve, after A. W. Phillips, a New Zealaner associate with the Lonon School

More information

d dx But have you ever seen a derivation of these results? We ll prove the first result below. cos h 1

d dx But have you ever seen a derivation of these results? We ll prove the first result below. cos h 1 Lecture 5 Some ifferentiation rules Trigonometric functions (Relevant section from Stewart, Seventh Eition: Section 3.3) You all know that sin = cos cos = sin. () But have you ever seen a erivation of

More information

Rules for Derivatives

Rules for Derivatives Chapter 3 Rules for Derivatives 3.1 Shortcuts for powers of x, constants, sums, an ifferences Leibniz notation for erivative: f 0 (x) = f, V 0 (t) = V t, C0 (q) = C q, etc. reas as the erivative of....

More information

Section 3.2 The Derivative as a Function Graphing the Derivative

Section 3.2 The Derivative as a Function Graphing the Derivative Math 80 www.timetodare.com Derivatives Section 3. The Derivative as a Function Graphing the Derivative ( ) In the previous section we defined the slope of the tangent to a curve with equation y= f ( )

More information

Optimization Notes. Note: Any material in red you will need to have memorized verbatim (more or less) for tests, quizzes, and the final exam.

Optimization Notes. Note: Any material in red you will need to have memorized verbatim (more or less) for tests, quizzes, and the final exam. MATH 2250 Calculus I Date: October 5, 2017 Eric Perkerson Optimization Notes 1 Chapter 4 Note: Any material in re you will nee to have memorize verbatim (more or less) for tests, quizzes, an the final

More information

f(x 0 + h) f(x 0 ) h slope of secant line = m sec

f(x 0 + h) f(x 0 ) h slope of secant line = m sec Derivatives Using limits, we can define the slope of a tangent line to a function. When given a function f(x), and given a point P (x 0, f(x 0 )) on f, if we want to find the slope of the tangent line

More information

Math Implicit Differentiation. We have discovered (and proved) formulas for finding derivatives of functions like

Math Implicit Differentiation. We have discovered (and proved) formulas for finding derivatives of functions like Math 400 3.5 Implicit Differentiation Name We have iscovere (an prove) formulas for fining erivatives of functions like f x x 3x 4x. 3 This amounts to fining y for 3 y x 3x 4x. Notice that in this case,

More information

AB.Q103.NOTES: Chapter 2.4, 3.1, 3.2 LESSON 1. Discovering the derivative at x = a: Slopes of secants and tangents to a curve

AB.Q103.NOTES: Chapter 2.4, 3.1, 3.2 LESSON 1. Discovering the derivative at x = a: Slopes of secants and tangents to a curve AB.Q103.NOTES: Chapter 2.4, 3.1, 3.2 LESSON 1 Discovering the derivative at x = a: Slopes of secants and tangents to a curve 1 1. Instantaneous rate of change versus average rate of change Equation of

More information