Antiderivatives! James K. Peterson. January 28, Department of Biological Sciences and Department of Mathematical Sciences Clemson University

Size: px
Start display at page:

Download "Antiderivatives! James K. Peterson. January 28, Department of Biological Sciences and Department of Mathematical Sciences Clemson University"

Transcription

1 ! James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University January 28, 2014

2 Outline 1 2 Simple Fractional Power

3 Abstract This lecture is going to talk about a thing called antiderivatives which is like the inverse of taking a derivative. We ll work you through all of the details and you ll find it is not so bad. It trains your mind to do stuff in your head which is a good thing!

4 The idea of an Antiderivative or Primitive is very simple. We just guess! We say F is the antiderivative of f if F = f. Since we know a group of simple derivatives, we can guess a group of simple antiderivatives! From this definition, we can see immediately that antiderivatives are not unique. The derivative of any constant is zero, so adding a constant to an antiderivative just gives a new antiderivative!

5 As we said, we can guess many antiderivatives. The symbol we previously introduced as the symbol for a Riemann integral ( be patient, we will be getting to that soon!) is also used to denote the antiderivative.

6 As we said, we can guess many antiderivatives. The symbol we previously introduced as the symbol for a Riemann integral ( be patient, we will be getting to that soon!) is also used to denote the antiderivative. This common symbol for the antiderivative of f has thus evolved to be f because of the close connection between the antiderivative of f and the Riemann integral of f which is given in the Cauchy Fundamental Theorem of Calculus which we will get to in a bit.

7 The usual Riemann integral, b a f (t) dt of f on [a, b] computes a definite value hence, the symbol b a f (t) dt to contrast it with the family of functions represented by the antiderivative f. We will discuss this thing called a Riemann integral shortly. We discussed the idea of it earlier and showed it was a kind of limit.

8 The usual Riemann integral, b a f (t) dt of f on [a, b] computes a definite value hence, the symbol b a f (t) dt to contrast it with the family of functions represented by the antiderivative f. We will discuss this thing called a Riemann integral shortly. We discussed the idea of it earlier and showed it was a kind of limit. Since the antiderivatives are arbitrary up to a constant, most of us refer to the antiderivative as the indefinite integral of f Also, we hardly ever say let s find the antiderivative of f instead, we just say, let s integrate f. We will begin using this shorthand now!

9 Let s begin with antiderivative we can guess for the function t. We know the derivative of t 2 is 2t so it follows the derivative of 1/2 t 2 must be t. In fact, adding a constant doesn t change the result.

10 Let s begin with antiderivative we can guess for the function t. We know the derivative of t 2 is 2t so it follows the derivative of 1/2 t 2 must be t. In fact, adding a constant doesn t change the result. In general, we have for any constant C that d dt ( 1/2t 2 + C ) = t

11 Let s begin with antiderivative we can guess for the function t. We know the derivative of t 2 is 2t so it follows the derivative of 1/2 t 2 must be t. In fact, adding a constant doesn t change the result. In general, we have for any constant C that d dt ( 1/2t 2 + C ) = t We say that 1/2t 2 + C is the family of antiderivatives of t or more simply, just 1/2t 2 + C is the antiderivative of t.

12 Let s begin with antiderivative we can guess for the function t. We know the derivative of t 2 is 2t so it follows the derivative of 1/2 t 2 must be t. In fact, adding a constant doesn t change the result. In general, we have for any constant C that d dt ( 1/2t 2 + C ) = t We say that 1/2t 2 + C is the family of antiderivatives of t or more simply, just 1/2t 2 + C is the antiderivative of t. Note we could also say these are the primitives of t too.

13 Let s begin with antiderivative we can guess for the function t. We know the derivative of t 2 is 2t so it follows the derivative of 1/2 t 2 must be t. In fact, adding a constant doesn t change the result. In general, we have for any constant C that d dt ( 1/2t 2 + C ) = t We say that 1/2t 2 + C is the family of antiderivatives of t or more simply, just 1/2t 2 + C is the antiderivative of t. Note we could also say these are the primitives of t too. The usual symbol for the antiderivative is the Riemann integral symbol without the a and b. So we would say t dt represents the antiderivative of t and t dt = 1/2t 2 + C.

14 Next, let s look at the function t 2. We know the derivative of t 3 is 3t 2 so it follows the derivative of 1/3 t 3 must be t 2. In fact, adding a constant doesn t change the result.

15 Next, let s look at the function t 2. We know the derivative of t 3 is 3t 2 so it follows the derivative of 1/3 t 3 must be t 2. In fact, adding a constant doesn t change the result. In general, we have for any constant C that ( ) d 1/3t 3 + C = t 2 dt

16 Next, let s look at the function t 2. We know the derivative of t 3 is 3t 2 so it follows the derivative of 1/3 t 3 must be t 2. In fact, adding a constant doesn t change the result. In general, we have for any constant C that ( ) d 1/3t 3 + C = t 2 dt We say that 1/3t 3 + C is the family of antiderivatives of t 2 or more simply, just 1/3t 3 + C is the antiderivative of t 2.

17 Next, let s look at the function t 2. We know the derivative of t 3 is 3t 2 so it follows the derivative of 1/3 t 3 must be t 2. In fact, adding a constant doesn t change the result. In general, we have for any constant C that ( ) d 1/3t 3 + C = t 2 dt We say that 1/3t 3 + C is the family of antiderivatives of t 2 or more simply, just 1/3t 3 + C is the antiderivative of t 2. Note we could also say these are the primitives of t 2 too.

18 Next, let s look at the function t 2. We know the derivative of t 3 is 3t 2 so it follows the derivative of 1/3 t 3 must be t 2. In fact, adding a constant doesn t change the result. In general, we have for any constant C that ( ) d 1/3t 3 + C = t 2 dt We say that 1/3t 3 + C is the family of antiderivatives of t 2 or more simply, just 1/3t 3 + C is the antiderivative of t 2. Note we could also say these are the primitives of t 2 too. Also, we would say for any constant C that t 2 dt = 1/3t 3 + C.

19 We can do a similar analysis for other powers. You should be able to convince yourself that for these positive powers, we have 1 dt = t + C.

20 We can do a similar analysis for other powers. You should be able to convince yourself that for these positive powers, we have 1 dt = t + C. t dt = 1/2 t 2 + C.

21 We can do a similar analysis for other powers. You should be able to convince yourself that for these positive powers, we have 1 dt = t + C. t dt = 1/2 t 2 + C. t 2 dt = 1/3 t 3 + C.

22 We can do a similar analysis for other powers. You should be able to convince yourself that for these positive powers, we have 1 dt = t + C. t dt = 1/2 t 2 + C. t 2 dt = 1/3 t 3 + C. t 3 dt = 1/4 t 4 + C.

23 Further, we can guess for negative powers also. We can do a similar analysis for negative powers. You should be able to convince yourself that t 2 dt = t 1 + C.

24 Further, we can guess for negative powers also. We can do a similar analysis for negative powers. You should be able to convince yourself that t 2 dt = t 1 + C. t 3 dt = 1/2t 2 + C.

25 Further, we can guess for negative powers also. We can do a similar analysis for negative powers. You should be able to convince yourself that t 2 dt = t 1 + C. t 3 dt = 1/2t 2 + C. t 4 dt = 1/3 t 3 + C.

26 Further, we can guess for negative powers also. We can do a similar analysis for negative powers. You should be able to convince yourself that t 2 dt = t 1 + C. t 3 dt = 1/2t 2 + C. t 4 dt = 1/3 t 3 + C. t 5 dt = 1/4 t 4 + C.

27 Further, we can guess for negative powers also. We can do a similar analysis for negative powers. You should be able to convince yourself that t 2 dt = t 1 + C. t 3 dt = 1/2t 2 + C. t 4 dt = 1/3 t 3 + C. t 5 dt = 1/4 t 4 + C. We can then glue together these antiderivatives to handle polynomials!

28 Example Example Find (2t + 3) dt. Solution (2t + 3) dt = (2t) dt + 3 dt = 2 t dt dt = t 2 + 3t + C where the C indicates that we can add any constant we want and still get an antiderivative. C is often called the integration constant.

29 Example Example Find (5t 2 + 8t 2) dt. Solution ( ) ( ) ( ) (5t 2 + 8t 2) dt = 5 t 3 /3 + 8 t 2 /2 2 t + C.

30 Example Example Find (5t 3 + 8t 2 2t) dt. Solution ( ) (5t 3 + 8t 2 2t) dt = 5 t 2 /( 2) ( ) 8 t 1 /( 1) + ( ) 2 t 2 /2 + C

31 Example Example Find (5t 5 + 4t ) dt. Solution ( ) ( ) (5t 5 + 4t ) dt = 5 t 6 /6 + 4 t 3 /3 + 20t + C.

32 Homework Find (15t 4 + 4t 3 + 9t + 7) dt Find (6t 3 4t 2 12) dt Find (50t t 2/(t 2 )) dt Find (12 + 8t 7 2t 12 ) dt Find (4 + 7t) dt Find (6 + 3t 4 ) dt Find (1 + 2t + 3t 2 ) dt Find ( t 4t 5 ) dt.

33 Simple Fractional Power Now we haven t yet discussed derivative of fractional powers of x. It is not that hard but it is easy to get blown away by a listing of too many mathy things, boom, one after the other. Here is a simple example to show you how to do it.

34 Simple Fractional Power Now we haven t yet discussed derivative of fractional powers of x. It is not that hard but it is easy to get blown away by a listing of too many mathy things, boom, one after the other. Here is a simple example to show you how to do it. Consider f (x) = x 2/3. For convenience, let y = f (x). Then we have y = x 2/3. Cube both sides to get y 3 = x 2.

35 Simple Fractional Power Now we haven t yet discussed derivative of fractional powers of x. It is not that hard but it is easy to get blown away by a listing of too many mathy things, boom, one after the other. Here is a simple example to show you how to do it. Consider f (x) = x 2/3. For convenience, let y = f (x). Then we have y = x 2/3. Cube both sides to get y 3 = x 2. Now use the chain rule on the left hand side and a regular derivative on the right hand side to get 3 y 2 y = 2 x. Now we just manipulate 3 y 2 y = 2 x = y = 2 x 3 y 2.

36 Simple Fractional Power Now we haven t yet discussed derivative of fractional powers of x. It is not that hard but it is easy to get blown away by a listing of too many mathy things, boom, one after the other. Here is a simple example to show you how to do it. Consider f (x) = x 2/3. For convenience, let y = f (x). Then we have y = x 2/3. Cube both sides to get y 3 = x 2. Now use the chain rule on the left hand side and a regular derivative on the right hand side to get 3 y 2 y = 2 x. Now we just manipulate 3 y 2 y = 2 x = y = 2 x 3 y 2. But, we can plug in for y 2 = x 4/3 to get y = 2 x 3 x 4/3 = 2 3 x 1 4/3 = 2 3 x 1/3.

37 Simple Fractional Power This mix of chain rule and regular differentiation is an easy trick. You can see we can do this for any fraction p/q. We get another theorem! Theorem The Simple Power Rule: Fractions! If f is the function x p/q for any integer p and q except q = 0, of course, then the derivative of f with respect to x satisfies (x p/q) = p q x p/q 1 Proof We did the example for the power 2/3 but the reasoning is the same for any fraction!

38 Simple Fractional Power So we can also find antiderivatives of fractional powers. You should be able to convince yourself that t 1 2 dt = 2/3 t 3/2 + C.

39 Simple Fractional Power So we can also find antiderivatives of fractional powers. You should be able to convince yourself that t 1 2 dt = 2/3 t 3/2 + C. t 4 5 dt = 5/9 t 9/5 + C.

40 Simple Fractional Power So we can also find antiderivatives of fractional powers. You should be able to convince yourself that t 1 2 dt = 2/3 t 3/2 + C. t 4 5 dt = 5/9 t 9/5 + C. t 5 8 dt = 8/13 t 13/8 + C.

41 Simple Fractional Power So we can also find antiderivatives of fractional powers. You should be able to convince yourself that t 1 2 dt = 2/3 t 3/2 + C. t 4 5 dt = 5/9 t 9/5 + C. t 5 8 dt = 8/13 t 13/8 + C. t 2 3 dt = 3 t 1/3 + C.

42 Simple Fractional Power It is thus easy to guess the antiderivative of a power of t as we have already mentioned. Here is the Theorem. Theorem Of Simple Fractional Powers If u is any fractional power other than 1, then the antiderivative of f (t) = t u is F (t) = t u+1 /(u + 1) + C. This is also expressed as t u dt = t u+1 /(u + 1) + C. Since this result holds for any fractional power and fractions and irrational numbers can t be isolated from one another, we can show more. The rule above holds for any number other than 1: even a number like 2. But we won t belabor this point now. Proof This is just a statement of all the results we have gone over.

43 Simple Fractional Power Example Example Find t 4/5 dt. Solution t 4/5 dt = t 9/5 /(9/5) + C.

44 Simple Fractional Power Example Example Find (t 1/2 + 9t 1/3 ) dt. Solution ( ) (t 1/2 + 9t 1/3 ) dt = t 3/2 /(3/2) + 9 t 4/3 /(4/3) + C.

45 Simple Fractional Power Example Example Find (6t 5/7 ) dt. Solution ( ) (6t 5/7 ) dt = 6 t 12/7 /(12/7) + C.

46 Simple Fractional Power Example Example Find (8t 3/4 + 12t 1/5 ) dt. Solution ( ) (8t 3/4 + 12t 1/5 ) dt = 8 t 1/4 /(1/4) ( ) +12 t 4/5 /(4/5) + C.

47 Simple Fractional Power Homework Find (6 t 2/7 ) dt Find (4 t 3/2 + 5t 1/3 ) dt Find (20 t 12/5 ) dt Find (2 t 2/7 + 14t 5/8 ) dt Find ( 22 t 11/3 + 6 t 1/4 ) dt Find (3 x 9/8 ) dx Find (6 u 4/3 + 5 u 7/2 ) du Find ( 19y 1/6 ) dy.

Antiderivatives! Outline. James K. Peterson. January 28, Antiderivatives. Simple Fractional Power Antiderivatives

Antiderivatives! Outline. James K. Peterson. January 28, Antiderivatives. Simple Fractional Power Antiderivatives Antiderivatives! James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University January 28, 2014 Outline Antiderivatives Simple Fractional Power Antiderivatives

More information

Mathematical Induction

Mathematical Induction Mathematical Induction James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University January 12, 2017 Outline Introduction to the Class Mathematical Induction

More information

Riemann Sums. Outline. James K. Peterson. September 15, Riemann Sums. Riemann Sums In MatLab

Riemann Sums. Outline. James K. Peterson. September 15, Riemann Sums. Riemann Sums In MatLab Riemann Sums James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University September 15, 2013 Outline Riemann Sums Riemann Sums In MatLab Abstract This

More information

Derivatives and the Product Rule

Derivatives and the Product Rule Derivatives and the Product Rule James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University January 28, 2014 Outline 1 Differentiability 2 Simple Derivatives

More information

Defining Exponential Functions and Exponential Derivatives and Integrals

Defining Exponential Functions and Exponential Derivatives and Integrals Defining Exponential Functions and Exponential Derivatives and Integrals James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University February 19, 2014

More information

Chapter 5: Integrals

Chapter 5: Integrals Chapter 5: Integrals Section 5.3 The Fundamental Theorem of Calculus Sec. 5.3: The Fundamental Theorem of Calculus Fundamental Theorem of Calculus: Sec. 5.3: The Fundamental Theorem of Calculus Fundamental

More information

Predator - Prey Model Trajectories and the nonlinear conservation law

Predator - Prey Model Trajectories and the nonlinear conservation law Predator - Prey Model Trajectories and the nonlinear conservation law James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University October 28, 2013 Outline

More information

Project One: C Bump functions

Project One: C Bump functions Project One: C Bump functions James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University November 2, 2018 Outline 1 2 The Project Let s recall what the

More information

MAT137 - Term 2, Week 2

MAT137 - Term 2, Week 2 MAT137 - Term 2, Week 2 This lecture will assume you have watched all of the videos on the definition of the integral (but will remind you about some things). Today we re talking about: More on the definition

More information

Riemann Integration. James K. Peterson. February 2, Department of Biological Sciences and Department of Mathematical Sciences Clemson University

Riemann Integration. James K. Peterson. February 2, Department of Biological Sciences and Department of Mathematical Sciences Clemson University Riemann Integration James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University February 2, 2017 Outline 1 Riemann Sums 2 Riemann Sums In MatLab 3 Graphing

More information

Chapter 5: Integrals

Chapter 5: Integrals Chapter 5: Integrals Section 5.5 The Substitution Rule (u-substitution) Sec. 5.5: The Substitution Rule We know how to find the derivative of any combination of functions Sum rule Difference rule Constant

More information

Differentiating Series of Functions

Differentiating Series of Functions Differentiating Series of Functions James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University October 30, 017 Outline 1 Differentiating Series Differentiating

More information

More On Exponential Functions, Inverse Functions and Derivative Consequences

More On Exponential Functions, Inverse Functions and Derivative Consequences More On Exponential Functions, Inverse Functions and Derivative Consequences James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University January 10, 2019

More information

Riemann Integration. Outline. James K. Peterson. February 2, Riemann Sums. Riemann Sums In MatLab. Graphing Riemann Sums

Riemann Integration. Outline. James K. Peterson. February 2, Riemann Sums. Riemann Sums In MatLab. Graphing Riemann Sums Riemann Integration James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University February 2, 2017 Outline Riemann Sums Riemann Sums In MatLab Graphing

More information

Integration by Parts Logarithms and More Riemann Sums!

Integration by Parts Logarithms and More Riemann Sums! Integration by Parts Logarithms and More Riemann Sums! James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University September 16, 2013 Outline 1 IbyP with

More information

Hölder s and Minkowski s Inequality

Hölder s and Minkowski s Inequality Hölder s and Minkowski s Inequality James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University September 1, 218 Outline Conjugate Exponents Hölder s

More information

1 Lesson 13: Methods of Integration

1 Lesson 13: Methods of Integration Lesson 3: Methods of Integration Chapter 6 Material: pages 273-294 in the textbook: Lesson 3 reviews integration by parts and presents integration via partial fraction decomposition as the third of the

More information

School of the Art Institute of Chicago. Calculus. Frank Timmes. flash.uchicago.edu/~fxt/class_pages/class_calc.

School of the Art Institute of Chicago. Calculus. Frank Timmes. flash.uchicago.edu/~fxt/class_pages/class_calc. School of the Art Institute of Chicago Calculus Frank Timmes ftimmes@artic.edu flash.uchicago.edu/~fxt/class_pages/class_calc.shtml Syllabus 1 Aug 29 Pre-calculus 2 Sept 05 Rates and areas 3 Sept 12 Trapezoids

More information

The Method of Undetermined Coefficients.

The Method of Undetermined Coefficients. The Method of Undetermined Coefficients. James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University May 24, 2017 Outline 1 Annihilators 2 Finding The

More information

Hölder s and Minkowski s Inequality

Hölder s and Minkowski s Inequality Hölder s and Minkowski s Inequality James K. Peterson Deartment of Biological Sciences and Deartment of Mathematical Sciences Clemson University Setember 10, 2018 Outline 1 Conjugate Exonents 2 Hölder

More information

Logarithm and Exponential Derivatives and Integrals

Logarithm and Exponential Derivatives and Integrals Logarithm and Exponential Derivatives and Integrals James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University September 3, 2013 Outline 1 Exponential

More information

Infinite series, improper integrals, and Taylor series

Infinite series, improper integrals, and Taylor series Chapter 2 Infinite series, improper integrals, and Taylor series 2. Introduction to series In studying calculus, we have explored a variety of functions. Among the most basic are polynomials, i.e. functions

More information

Math 3B: Lecture 11. Noah White. October 25, 2017

Math 3B: Lecture 11. Noah White. October 25, 2017 Math 3B: Lecture 11 Noah White October 25, 2017 Introduction Midterm 1 Introduction Midterm 1 Average is 73%. This is higher than I expected which is good. Introduction Midterm 1 Average is 73%. This is

More information

Sin, Cos and All That

Sin, Cos and All That Sin, Cos and All That James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University March 9, 2017 Outline 1 Sin, Cos and all that! 2 A New Power Rule 3

More information

Relationship Between Integration and Differentiation

Relationship Between Integration and Differentiation Relationship Between Integration and Differentiation Fundamental Theorem of Calculus Philippe B. Laval KSU Today Philippe B. Laval (KSU) FTC Today 1 / 16 Introduction In the previous sections we defined

More information

Chapter 6 Section Antiderivatives and Indefinite Integrals

Chapter 6 Section Antiderivatives and Indefinite Integrals Chapter 6 Section 6.1 - Antiderivatives and Indefinite Integrals Objectives: The student will be able to formulate problems involving antiderivatives. The student will be able to use the formulas and properties

More information

Dirchlet s Function and Limit and Continuity Arguments

Dirchlet s Function and Limit and Continuity Arguments Dirchlet s Function and Limit and Continuity Arguments James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University February 23, 2018 Outline 1 Dirichlet

More information

Convergence of Sequences

Convergence of Sequences James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University September 5, 2018 Outline 1 2 Homework Definition Let (a n ) n k be a sequence of real numbers.

More information

Linear Systems of ODE: Nullclines, Eigenvector lines and trajectories

Linear Systems of ODE: Nullclines, Eigenvector lines and trajectories Linear Systems of ODE: Nullclines, Eigenvector lines and trajectories James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University October 6, 203 Outline

More information

Axiomatic systems. Revisiting the rules of inference. Example: A theorem and its proof in an abstract axiomatic system:

Axiomatic systems. Revisiting the rules of inference. Example: A theorem and its proof in an abstract axiomatic system: Axiomatic systems Revisiting the rules of inference Material for this section references College Geometry: A Discovery Approach, 2/e, David C. Kay, Addison Wesley, 2001. In particular, see section 2.1,

More information

MAT 122 Homework 7 Solutions

MAT 122 Homework 7 Solutions MAT 1 Homework 7 Solutions Section 3.3, Problem 4 For the function w = (t + 1) 100, we take the inside function to be z = t + 1 and the outside function to be z 100. The derivative of the inside function

More information

The Derivative of a Function

The Derivative of a Function The Derivative of a Function James K Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University March 1, 2017 Outline A Basic Evolutionary Model The Next Generation

More information

Announcements. Topics: Homework:

Announcements. Topics: Homework: Announcements Topics: - sections 7.1 (differential equations), 7.2 (antiderivatives), and 7.3 (the definite integral +area) * Read these sections and study solved examples in your textbook! Homework: -

More information

Variation of Parameters

Variation of Parameters Variation of Parameters James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University April 13, 218 Outline Variation of Parameters Example One We eventually

More information

Linear Systems of ODE: Nullclines, Eigenvector lines and trajectories

Linear Systems of ODE: Nullclines, Eigenvector lines and trajectories Linear Systems of ODE: Nullclines, Eigenvector lines and trajectories James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University October 6, 2013 Outline

More information

Fourier Sin and Cos Series and Least Squares Convergence

Fourier Sin and Cos Series and Least Squares Convergence Fourier and east Squares Convergence James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University May 7, 28 Outline et s look at the original Fourier sin

More information

Proofs Not Based On POMI

Proofs Not Based On POMI s Not Based On POMI James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University February 12, 2018 Outline 1 Non POMI Based s 2 Some Contradiction s 3

More information

Mathematical Induction Again

Mathematical Induction Again Mathematical Induction Again James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University January 12, 2017 Outline Mathematical Induction Simple POMI Examples

More information

Mathematical Induction Again

Mathematical Induction Again Mathematical Induction Again James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University January 2, 207 Outline Mathematical Induction 2 Simple POMI Examples

More information

Math 126: Course Summary

Math 126: Course Summary Math 126: Course Summary Rich Schwartz August 19, 2009 General Information: Math 126 is a course on complex analysis. You might say that complex analysis is the study of what happens when you combine calculus

More information

CHAPTER 7: TECHNIQUES OF INTEGRATION

CHAPTER 7: TECHNIQUES OF INTEGRATION CHAPTER 7: TECHNIQUES OF INTEGRATION DAVID GLICKENSTEIN. Introduction This semester we will be looking deep into the recesses of calculus. Some of the main topics will be: Integration: we will learn how

More information

Change of Variables: Indefinite Integrals

Change of Variables: Indefinite Integrals Change of Variables: Indefinite Integrals Mathematics 11: Lecture 39 Dan Sloughter Furman University November 29, 2007 Dan Sloughter (Furman University) Change of Variables: Indefinite Integrals November

More information

Math Lecture 23 Notes

Math Lecture 23 Notes Math 1010 - Lecture 23 Notes Dylan Zwick Fall 2009 In today s lecture we ll expand upon the concept of radicals and radical expressions, and discuss how we can deal with equations involving these radical

More information

3 Algebraic Methods. we can differentiate both sides implicitly to obtain a differential equation involving x and y:

3 Algebraic Methods. we can differentiate both sides implicitly to obtain a differential equation involving x and y: 3 Algebraic Methods b The first appearance of the equation E Mc 2 in Einstein s handwritten notes. So far, the only general class of differential equations that we know how to solve are directly integrable

More information

The First Derivative and Second Derivative Test

The First Derivative and Second Derivative Test The First Derivative and Second Derivative Test James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University April 9, 2018 Outline 1 Extremal Values 2

More information

Convergence of Sequences

Convergence of Sequences Convergence of Sequences James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University February 12, 2018 Outline Convergence of Sequences Definition Let

More information

Differential Forms. Introduction

Differential Forms. Introduction ifferential Forms A 305 Kurt Bryan Aesthetic pleasure needs no justification, because a life without such pleasure is one not worth living. ana Gioia, Can Poetry atter? Introduction We ve hit the big three

More information

The First Derivative and Second Derivative Test

The First Derivative and Second Derivative Test The First Derivative and Second Derivative Test James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University November 8, 2017 Outline Extremal Values The

More information

Math Lecture 18 Notes

Math Lecture 18 Notes Math 1010 - Lecture 18 Notes Dylan Zwick Fall 2009 In our last lecture we talked about how we can add, subtract, and multiply polynomials, and we figured out that, basically, if you can add, subtract,

More information

The Integral of a Function. The Indefinite Integral

The Integral of a Function. The Indefinite Integral The Integral of a Function. The Indefinite Integral Undoing a derivative: Antiderivative=Indefinite Integral Definition: A function is called an antiderivative of a function on same interval,, if differentiation

More information

Chapter 5 Integrals. 5.1 Areas and Distances

Chapter 5 Integrals. 5.1 Areas and Distances Chapter 5 Integrals 5.1 Areas and Distances We start with a problem how can we calculate the area under a given function ie, the area between the function and the x-axis? If the curve happens to be something

More information

INTEGRATION: THE FUNDAMENTAL THEOREM OF CALCULUS MR. VELAZQUEZ AP CALCULUS

INTEGRATION: THE FUNDAMENTAL THEOREM OF CALCULUS MR. VELAZQUEZ AP CALCULUS INTEGRATION: THE FUNDAMENTAL THEOREM OF CALCULUS MR. VELAZQUEZ AP CALCULUS RECALL: ANTIDERIVATIVES When we last spoke of integration, we examined a physics problem where we saw that the area under the

More information

Announcements. Topics: Homework:

Announcements. Topics: Homework: Announcements Topics: - sections 7.3 (the definite integral +area), 7.4 (FTC), 7.5 (additional techniques of integration) * Read these sections and study solved examples in your textbook! Homework: - review

More information

Introduction to Algebra: The First Week

Introduction to Algebra: The First Week Introduction to Algebra: The First Week Background: According to the thermostat on the wall, the temperature in the classroom right now is 72 degrees Fahrenheit. I want to write to my friend in Europe,

More information

Quadratic Equations Part I

Quadratic Equations Part I Quadratic Equations Part I Before proceeding with this section we should note that the topic of solving quadratic equations will be covered in two sections. This is done for the benefit of those viewing

More information

Complex Numbers. Outline. James K. Peterson. September 19, Complex Numbers. Complex Number Calculations. Complex Functions

Complex Numbers. Outline. James K. Peterson. September 19, Complex Numbers. Complex Number Calculations. Complex Functions Complex Numbers James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University September 19, 2013 Outline Complex Numbers Complex Number Calculations Complex

More information

Complex Numbers. James K. Peterson. September 19, Department of Biological Sciences and Department of Mathematical Sciences Clemson University

Complex Numbers. James K. Peterson. September 19, Department of Biological Sciences and Department of Mathematical Sciences Clemson University Complex Numbers James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University September 19, 2013 Outline 1 Complex Numbers 2 Complex Number Calculations

More information

Extreme Values and Positive/ Negative Definite Matrix Conditions

Extreme Values and Positive/ Negative Definite Matrix Conditions Extreme Values and Positive/ Negative Definite Matrix Conditions James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University November 8, 016 Outline 1

More information

Convergence of Fourier Series

Convergence of Fourier Series MATH 454: Analysis Two James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University April, 8 MATH 454: Analysis Two Outline The Cos Family MATH 454: Analysis

More information

Lecture 7 - Separable Equations

Lecture 7 - Separable Equations Lecture 7 - Separable Equations Separable equations is a very special type of differential equations where you can separate the terms involving only y on one side of the equation and terms involving only

More information

Taylor Polynomials. James K. Peterson. Department of Biological Sciences and Department of Mathematical Sciences Clemson University

Taylor Polynomials. James K. Peterson. Department of Biological Sciences and Department of Mathematical Sciences Clemson University James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University September 24, 2013 Outline 1 First Order Approximation s Second Order Approximations 2 Approximation

More information

Applied Calculus I. Lecture 29

Applied Calculus I. Lecture 29 Applied Calculus I Lecture 29 Integrals of trigonometric functions We shall continue learning substitutions by considering integrals involving trigonometric functions. Integrals of trigonometric functions

More information

Proofs Not Based On POMI

Proofs Not Based On POMI s Not Based On POMI James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University February 1, 018 Outline Non POMI Based s Some Contradiction s Triangle

More information

Math Calculus I

Math Calculus I Math 165 - Calculus I Christian Roettger 382 Carver Hall Mathematics Department Iowa State University www.iastate.edu/~roettger November 13, 2011 4.1 Introduction to Area Sigma Notation 4.2 The Definite

More information

Chapter 1: Preliminaries and Error Analysis

Chapter 1: Preliminaries and Error Analysis Chapter 1: Error Analysis Peter W. White white@tarleton.edu Department of Tarleton State University Summer 2015 / Numerical Analysis Overview We All Remember Calculus Derivatives: limit definition, sum

More information

Section 5.6. Integration By Parts. MATH 126 (Section 5.6) Integration By Parts The University of Kansas 1 / 10

Section 5.6. Integration By Parts. MATH 126 (Section 5.6) Integration By Parts The University of Kansas 1 / 10 Section 5.6 Integration By Parts MATH 126 (Section 5.6) Integration By Parts The University of Kansas 1 / 10 Integration By Parts Manipulating the Product Rule d dx (f (x) g(x)) = f (x) g (x) + f (x) g(x)

More information

The total differential

The total differential The total differential The total differential of the function of two variables The total differential gives the full information about rates of change of the function in the -direction and in the -direction.

More information

Dirchlet s Function and Limit and Continuity Arguments

Dirchlet s Function and Limit and Continuity Arguments Dirchlet s Function and Limit and Continuity Arguments James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University November 2, 2018 Outline Dirichlet

More information

More Protein Synthesis and a Model for Protein Transcription Error Rates

More Protein Synthesis and a Model for Protein Transcription Error Rates More Protein Synthesis and a Model for Protein James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University October 3, 2013 Outline 1 Signal Patterns Example

More information

( ) = f(x) 6 INTEGRATION. Things to remember: n + 1 EXERCISE A function F is an ANTIDERIVATIVE of f if F'(x) = f(x).

( ) = f(x) 6 INTEGRATION. Things to remember: n + 1 EXERCISE A function F is an ANTIDERIVATIVE of f if F'(x) = f(x). 6 INTEGRATION EXERCISE 6-1 Things to remember: 1. A function F is an ANTIDERIVATIVE of f if F() = f().. THEOREM ON ANTIDERIVATIVES If the derivatives of two functions are equal on an open interval (a,

More information

How to write maths (well)

How to write maths (well) How to write maths (well) Dr Euan Spence 29 September 2017 These are the slides from a talk I gave to the new first-year students at Bath, annotated with some of the things I said (which appear in boxes

More information

Boolean circuits. Lecture Definitions

Boolean circuits. Lecture Definitions Lecture 20 Boolean circuits In this lecture we will discuss the Boolean circuit model of computation and its connection to the Turing machine model. Although the Boolean circuit model is fundamentally

More information

Math 142 (Summer 2018) Business Calculus 6.1 Notes

Math 142 (Summer 2018) Business Calculus 6.1 Notes Math 142 (Summer 2018) Business Calculus 6.1 Notes Antiderivatives Why? So far in the course we have studied derivatives. Differentiation is the process of going from a function f to its derivative f.

More information

Section 6-1 Antiderivatives and Indefinite Integrals

Section 6-1 Antiderivatives and Indefinite Integrals Name Date Class Section 6-1 Antiderivatives and Indefinite Integrals Goal: To find antiderivatives and indefinite integrals of functions using the formulas and properties Theorem 1 Antiderivatives If the

More information

Math101, Sections 2 and 3, Spring 2008 Review Sheet for Exam #2:

Math101, Sections 2 and 3, Spring 2008 Review Sheet for Exam #2: Math101, Sections 2 and 3, Spring 2008 Review Sheet for Exam #2: 03 17 08 3 All about lines 3.1 The Rectangular Coordinate System Know how to plot points in the rectangular coordinate system. Know the

More information

4 Integration. Copyright Cengage Learning. All rights reserved.

4 Integration. Copyright Cengage Learning. All rights reserved. 4 Integration Copyright Cengage Learning. All rights reserved. 4.1 Antiderivatives and Indefinite Integration Copyright Cengage Learning. All rights reserved. Objectives! Write the general solution of

More information

MATH 408N PRACTICE FINAL

MATH 408N PRACTICE FINAL 2/03/20 Bormashenko MATH 408N PRACTICE FINAL Show your work for all the problems. Good luck! () Let f(x) = ex e x. (a) [5 pts] State the domain and range of f(x). Name: TA session: Since e x is defined

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

7.3 Hyperbolic Functions Hyperbolic functions are similar to trigonometric functions, and have the following

7.3 Hyperbolic Functions Hyperbolic functions are similar to trigonometric functions, and have the following Math 2-08 Rahman Week3 7.3 Hyperbolic Functions Hyperbolic functions are similar to trigonometric functions, and have the following definitions: sinh x = 2 (ex e x ) cosh x = 2 (ex + e x ) tanh x = sinh

More information

Notes on Quadratic Extension Fields

Notes on Quadratic Extension Fields Notes on Quadratic Extension Fields 1 Standing notation Q denotes the field of rational numbers. R denotes the field of real numbers. F always denotes a subfield of R. The symbol k is always a positive

More information

Integration by Substitution

Integration by Substitution Integration by Substitution Dr. Philippe B. Laval Kennesaw State University Abstract This handout contains material on a very important integration method called integration by substitution. Substitution

More information

1.4 Techniques of Integration

1.4 Techniques of Integration .4 Techniques of Integration Recall the following strategy for evaluating definite integrals, which arose from the Fundamental Theorem of Calculus (see Section.3). To calculate b a f(x) dx. Find a function

More information

DIFFERENTIAL EQUATIONS

DIFFERENTIAL EQUATIONS DIFFERENTIAL EQUATIONS Basic Concepts Paul Dawkins Table of Contents Preface... Basic Concepts... 1 Introduction... 1 Definitions... Direction Fields... 8 Final Thoughts...19 007 Paul Dawkins i http://tutorial.math.lamar.edu/terms.aspx

More information

The Existence of the Riemann Integral

The Existence of the Riemann Integral The Existence of the Riemann Integral James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University September 18, 2018 Outline The Darboux Integral Upper

More information

MA1131 Lecture 15 (2 & 3/12/2010) 77. dx dx v + udv dx. (uv) = v du dx dx + dx dx dx

MA1131 Lecture 15 (2 & 3/12/2010) 77. dx dx v + udv dx. (uv) = v du dx dx + dx dx dx MA3 Lecture 5 ( & 3//00) 77 0.3. Integration by parts If we integrate both sides of the proct rule we get d (uv) dx = dx or uv = d (uv) = dx dx v + udv dx v dx dx + v dx dx + u dv dx dx u dv dx dx This

More information

1 Introduction; Integration by Parts

1 Introduction; Integration by Parts 1 Introduction; Integration by Parts September 11-1 Traditionally Calculus I covers Differential Calculus and Calculus II covers Integral Calculus. You have already seen the Riemann integral and certain

More information

Math Lecture 3 Notes

Math Lecture 3 Notes Math 1010 - Lecture 3 Notes Dylan Zwick Fall 2009 1 Operations with Real Numbers In our last lecture we covered some basic operations with real numbers like addition, subtraction and multiplication. This

More information

One-to-one functions and onto functions

One-to-one functions and onto functions MA 3362 Lecture 7 - One-to-one and Onto Wednesday, October 22, 2008. Objectives: Formalize definitions of one-to-one and onto One-to-one functions and onto functions At the level of set theory, there are

More information

MAT137 - Term 2, Week 5

MAT137 - Term 2, Week 5 MAT137 - Term 2, Week 5 Test 3 is tomorrow, February 3, at 4pm. See the course website for details. Today we will: Talk more about integration by parts. Talk about integrating certain combinations of trig

More information

Review for Final Exam, MATH , Fall 2010

Review for Final Exam, MATH , Fall 2010 Review for Final Exam, MATH 170-002, Fall 2010 The test will be on Wednesday December 15 in ILC 404 (usual class room), 8:00 a.m - 10:00 a.m. Please bring a non-graphing calculator for the test. No other

More information

Integration. Antiderivatives and Indefinite Integration 3/9/2015. Copyright Cengage Learning. All rights reserved.

Integration. Antiderivatives and Indefinite Integration 3/9/2015. Copyright Cengage Learning. All rights reserved. Integration Copyright Cengage Learning. All rights reserved. Antiderivatives and Indefinite Integration Copyright Cengage Learning. All rights reserved. 1 Objectives Write the general solution of a differential

More information

Announcements. Topics: Homework:

Announcements. Topics: Homework: Announcements Topics: - sections 7.4 (FTC), 7.5 (additional techniques of integration), 7.6 (applications of integration) * Read these sections and study solved examples in your textbook! Homework: - review

More information

Math F15 Rahman

Math F15 Rahman Math - 9 F5 Rahman Week3 7.3 Hyperbolic Functions Hyperbolic functions are similar to trigonometric functions, and have the following definitions: sinh x = (ex e x ) cosh x = (ex + e x ) tanh x = sinh

More information

Area. A(2) = sin(0) π 2 + sin(π/2)π 2 = π For 3 subintervals we will find

Area. A(2) = sin(0) π 2 + sin(π/2)π 2 = π For 3 subintervals we will find Area In order to quantify the size of a -dimensional object, we use area. Since we measure area in square units, we can think of the area of an object as the number of such squares it fills up. Using this

More information

Math 110 (S & E) Textbook: Calculus Early Transcendentals by James Stewart, 7 th Edition

Math 110 (S & E) Textbook: Calculus Early Transcendentals by James Stewart, 7 th Edition Math 110 (S & E) Textbook: Calculus Early Transcendentals by James Stewart, 7 th Edition 1 Appendix A : Numbers, Inequalities, and Absolute Values Sets A set is a collection of objects with an important

More information

MATH 1010E University Mathematics Lecture Notes (week 8) Martin Li

MATH 1010E University Mathematics Lecture Notes (week 8) Martin Li MATH 1010E University Mathematics Lecture Notes (week 8) Martin Li 1 L Hospital s Rule Another useful application of mean value theorems is L Hospital s Rule. It helps us to evaluate its of indeterminate

More information

7.1 Indefinite Integrals Calculus

7.1 Indefinite Integrals Calculus 7.1 Indefinite Integrals Calculus Learning Objectives A student will be able to: Find antiderivatives of functions. Represent antiderivatives. Interpret the constant of integration graphically. Solve differential

More information

Uniform Convergence and Series of Functions

Uniform Convergence and Series of Functions Uniform Convergence and Series of Functions James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University October 7, 017 Outline Uniform Convergence Tests

More information

Chapter 6. Techniques of Integration. 6.1 Differential notation

Chapter 6. Techniques of Integration. 6.1 Differential notation Chapter 6 Techniques of Integration In this chapter, we expand our repertoire for antiderivatives beyond the elementary functions discussed so far. A review of the table of elementary antiderivatives (found

More information

Derivatives in 2D. Outline. James K. Peterson. November 9, Derivatives in 2D! Chain Rule

Derivatives in 2D. Outline. James K. Peterson. November 9, Derivatives in 2D! Chain Rule Derivatives in 2D James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University November 9, 2016 Outline Derivatives in 2D! Chain Rule Let s go back to

More information