Integration by Parts Formula
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Notes on Calculus II Integral Calculus Miguel A. Lerma
Notes on Calculus II Integral Calculus Miguel A. Lerma November 22, 2002 Contents Introduction 5 Chapter 1. Integrals 6 1.1. Areas and Distances. The Definite Integral 6 1.2. The Evaluation Theorem 11 1.3. The Fundamental Theorem of Calculus 14 1.4. The Substitution Rule 16 1.5. Integration by Parts 21 1.6. Trigonometric Integrals and Trigonometric Substitutions 26 1.7. Partial Fractions 32 1.8. Integration using Tables and CAS 39 1.9. Numerical Integration 41 1.10. Improper Integrals 46 Chapter 2. Applications of Integration 50 2.1. More about Areas 50 2.2. Volumes 52 2.3. Arc Length, Parametric Curves 57 2.4. Average Value of a Function (Mean Value Theorem) 61 2.5. Applications to Physics and Engineering 63 2.6. Probability 69 Chapter 3. Differential Equations 74 3.1. Differential Equations and Separable Equations 74 3.2. Directional Fields and Euler’s Method 78 3.3. Exponential Growth and Decay 80 Chapter 4. Infinite Sequences and Series 83 4.1. Sequences 83 4.2. Series 88 4.3. The Integral and Comparison Tests 92 4.4. Other Convergence Tests 96 4.5. Power Series 98 4.6. Representation of Functions as Power Series 100 4.7. Taylor and MacLaurin Series 103 3 CONTENTS 4 4.8. Applications of Taylor Polynomials 109 Appendix A. Hyperbolic Functions 113 A.1. Hyperbolic Functions 113 Appendix B. Various Formulas 118 B.1. Summation Formulas 118 Appendix C. Table of Integrals 119 Introduction These notes are intended to be a summary of the main ideas in course MATH 214-2: Integral Calculus. -
A Quotient Rule Integration by Parts Formula Jennifer Switkes ([email protected]), California State Polytechnic Univer- Sity, Pomona, CA 91768
A Quotient Rule Integration by Parts Formula Jennifer Switkes ([email protected]), California State Polytechnic Univer- sity, Pomona, CA 91768 In a recent calculus course, I introduced the technique of Integration by Parts as an integration rule corresponding to the Product Rule for differentiation. I showed my students the standard derivation of the Integration by Parts formula as presented in [1]: By the Product Rule, if f (x) and g(x) are differentiable functions, then d f (x)g(x) = f (x)g(x) + g(x) f (x). dx Integrating on both sides of this equation, f (x)g(x) + g(x) f (x) dx = f (x)g(x), which may be rearranged to obtain f (x)g(x) dx = f (x)g(x) − g(x) f (x) dx. Letting U = f (x) and V = g(x) and observing that dU = f (x) dx and dV = g(x) dx, we obtain the familiar Integration by Parts formula UdV= UV − VdU. (1) My student Victor asked if we could do a similar thing with the Quotient Rule. While the other students thought this was a crazy idea, I was intrigued. Below, I derive a Quotient Rule Integration by Parts formula, apply the resulting integration formula to an example, and discuss reasons why this formula does not appear in calculus texts. By the Quotient Rule, if f (x) and g(x) are differentiable functions, then ( ) ( ) ( ) − ( ) ( ) d f x = g x f x f x g x . dx g(x) [g(x)]2 Integrating both sides of this equation, we get f (x) g(x) f (x) − f (x)g(x) = dx. -
Calculus Terminology
AP Calculus BC Calculus Terminology Absolute Convergence Asymptote Continued Sum Absolute Maximum Average Rate of Change Continuous Function Absolute Minimum Average Value of a Function Continuously Differentiable Function Absolutely Convergent Axis of Rotation Converge Acceleration Boundary Value Problem Converge Absolutely Alternating Series Bounded Function Converge Conditionally Alternating Series Remainder Bounded Sequence Convergence Tests Alternating Series Test Bounds of Integration Convergent Sequence Analytic Methods Calculus Convergent Series Annulus Cartesian Form Critical Number Antiderivative of a Function Cavalieri’s Principle Critical Point Approximation by Differentials Center of Mass Formula Critical Value Arc Length of a Curve Centroid Curly d Area below a Curve Chain Rule Curve Area between Curves Comparison Test Curve Sketching Area of an Ellipse Concave Cusp Area of a Parabolic Segment Concave Down Cylindrical Shell Method Area under a Curve Concave Up Decreasing Function Area Using Parametric Equations Conditional Convergence Definite Integral Area Using Polar Coordinates Constant Term Definite Integral Rules Degenerate Divergent Series Function Operations Del Operator e Fundamental Theorem of Calculus Deleted Neighborhood Ellipsoid GLB Derivative End Behavior Global Maximum Derivative of a Power Series Essential Discontinuity Global Minimum Derivative Rules Explicit Differentiation Golden Spiral Difference Quotient Explicit Function Graphic Methods Differentiable Exponential Decay Greatest Lower Bound Differential -
Section 9.6, the Chain Rule and the Power Rule
Section 9.6, The Chain Rule and the Power Rule Chain Rule: If f and g are differentiable functions with y = f(u) and u = g(x) (i.e. y = f(g(x))), then dy = f 0(u) · g0(x) = f 0(g(x)) · g0(x); or dx dy dy du = · dx du dx For now, we will only be considering a special case of the Chain Rule. When f(u) = un, this is called the (General) Power Rule. (General) Power Rule: If y = un, where u is a function of x, then dy du = nun−1 · dx dx Examples Calculate the derivatives for the following functions: 1. f(x) = (2x + 1)7 Here, u(x) = 2x + 1 and n = 7, so f 0(x) = 7u(x)6 · u0(x) = 7(2x + 1)6 · (2) = 14(2x + 1)6. 2. g(z) = (4z2 − 3z + 4)9 We will take u(z) = 4z2 − 3z + 4 and n = 9, so g0(z) = 9(4z2 − 3z + 4)8 · (8z − 3). 1 2 −2 3. y = (x2−4)2 = (x − 4) Letting u(x) = x2 − 4 and n = −2, y0 = −2(x2 − 4)−3 · 2x = −4x(x2 − 4)−3. p 4. f(x) = 3 1 − x2 + x4 = (1 − x2 + x4)1=3 0 1 2 4 −2=3 3 f (x) = 3 (1 − x + x ) (−2x + 4x ). Notes for the Chain and (General) Power Rules: 1. If you use the u-notation, as in the definition of the Chain and Power Rules, be sure to have your final answer use the variable in the given problem. -
Integration by Parts
3 Integration By Parts Formula ∫∫udv = uv − vdu I. Guidelines for Selecting u and dv: (There are always exceptions, but these are generally helpful.) “L-I-A-T-E” Choose ‘u’ to be the function that comes first in this list: L: Logrithmic Function I: Inverse Trig Function A: Algebraic Function T: Trig Function E: Exponential Function Example A: ∫ x3 ln x dx *Since lnx is a logarithmic function and x3 is an algebraic function, let: u = lnx (L comes before A in LIATE) dv = x3 dx 1 du = dx x x 4 v = x 3dx = ∫ 4 ∫∫x3 ln xdx = uv − vdu x 4 x 4 1 = (ln x) − dx 4 ∫ 4 x x 4 1 = (ln x) − x 3dx 4 4 ∫ x 4 1 x 4 = (ln x) − + C 4 4 4 x 4 x 4 = (ln x) − + C ANSWER 4 16 www.rit.edu/asc Page 1 of 7 Example B: ∫sin x ln(cos x) dx u = ln(cosx) (Logarithmic Function) dv = sinx dx (Trig Function [L comes before T in LIATE]) 1 du = (−sin x) dx = − tan x dx cos x v = ∫sin x dx = − cos x ∫sin x ln(cos x) dx = uv − ∫ vdu = (ln(cos x))(−cos x) − ∫ (−cos x)(− tan x)dx sin x = −cos x ln(cos x) − (cos x) dx ∫ cos x = −cos x ln(cos x) − ∫sin x dx = −cos x ln(cos x) + cos x + C ANSWER Example C: ∫sin −1 x dx *At first it appears that integration by parts does not apply, but let: u = sin −1 x (Inverse Trig Function) dv = 1 dx (Algebraic Function) 1 du = dx 1− x 2 v = ∫1dx = x ∫∫sin −1 x dx = uv − vdu 1 = (sin −1 x)(x) − x dx ∫ 2 1− x ⎛ 1 ⎞ = x sin −1 x − ⎜− ⎟ (1− x 2 ) −1/ 2 (−2x) dx ⎝ 2 ⎠∫ 1 = x sin −1 x + (1− x 2 )1/ 2 (2) + C 2 = x sin −1 x + 1− x 2 + C ANSWER www.rit.edu/asc Page 2 of 7 II. -
Integration-By-Parts.Pdf
Integration INTEGRATION BY PARTS Graham S McDonald A self-contained Tutorial Module for learning the technique of integration by parts ● Table of contents ● Begin Tutorial c 2003 [email protected] Table of contents 1. Theory 2. Usage 3. Exercises 4. Final solutions 5. Standard integrals 6. Tips on using solutions 7. Alternative notation Full worked solutions Section 1: Theory 3 1. Theory To differentiate a product of two functions of x, one uses the product rule: d dv du (uv) = u + v dx dx dx where u = u (x) and v = v (x) are two functions of x. A slight rearrangement of the product rule gives dv d du u = (uv) − v dx dx dx Now, integrating both sides with respect to x results in Z dv Z du u dx = uv − v dx dx dx This gives us a rule for integration, called INTEGRATION BY PARTS, that allows us to integrate many products of functions of x. We take one factor in this product to be u (this also appears on du the right-hand-side, along with dx ). The other factor is taken to dv be dx (on the right-hand-side only v appears – i.e. the other factor integrated with respect to x). Toc JJ II J I Back Section 2: Usage 4 2. Usage We highlight here four different types of products for which integration by parts can be used (as well as which factor to label u and which one dv to label dx ). These are: sin bx (i) R xn· or dx (ii) R xn·eaxdx cos bx ↑ ↑ ↑ ↑ dv dv u dx u dx sin bx (iii) R xr· ln (ax) dx (iv) R eax · or dx cos bx ↑ ↑ ↑ ↑ dv dv dx u u dx where a, b and r are given constants and n is a positive integer. -
1. Antiderivatives for Exponential Functions Recall That for F(X) = Ec⋅X, F ′(X) = C ⋅ Ec⋅X (For Any Constant C)
1. Antiderivatives for exponential functions Recall that for f(x) = ec⋅x, f ′(x) = c ⋅ ec⋅x (for any constant c). That is, ex is its own derivative. So it makes sense that it is its own antiderivative as well! Theorem 1.1 (Antiderivatives of exponential functions). Let f(x) = ec⋅x for some 1 constant c. Then F x ec⋅c D, for any constant D, is an antiderivative of ( ) = c + f(x). 1 c⋅x ′ 1 c⋅x c⋅x Proof. Consider F (x) = c e +D. Then by the chain rule, F (x) = c⋅ c e +0 = e . So F (x) is an antiderivative of f(x). Of course, the theorem does not work for c = 0, but then we would have that f(x) = e0 = 1, which is constant. By the power rule, an antiderivative would be F (x) = x + C for some constant C. 1 2. Antiderivative for f(x) = x We have the power rule for antiderivatives, but it does not work for f(x) = x−1. 1 However, we know that the derivative of ln(x) is x . So it makes sense that the 1 antiderivative of x should be ln(x). Unfortunately, it is not. But it is close. 1 1 Theorem 2.1 (Antiderivative of f(x) = x ). Let f(x) = x . Then the antiderivatives of f(x) are of the form F (x) = ln(SxS) + C. Proof. Notice that ln(x) for x > 0 F (x) = ln(SxS) = . ln(−x) for x < 0 ′ 1 For x > 0, we have [ln(x)] = x . -
Proofs of the Product, Reciprocal, and Quotient Rules Math 120 Calculus I D Joyce, Fall 2013
Proofs of the Product, Reciprocal, and Quotient Rules Math 120 Calculus I D Joyce, Fall 2013 So far, we've defined derivatives in terms of limits f(x+h) − f(x) f 0(x) = lim ; h!0 h found derivatives of several functions; used and proved several rules including the constant rule, sum rule, difference rule, and constant multiple rule; and used the product, reciprocal, and quotient rules. Next, we'll prove those last three rules. After that, we still have to prove the power rule in general, there's the chain rule, and derivatives of trig functions. But then we'll be able to differentiate just about any function we can write down. The product, reciprocal, and quotient rules. For the statement of these three rules, let f and g be two differentiable functions. Then Product rule: (fg)0 = f 0g + fg0 10 −g0 Reciprocal rule: = g g2 f 0 f 0g − fg0 Quotient rule: = g g2 A more complete statement of the product rule would assume that f and g are differ- entiable at x and conlcude that fg is differentiable at x with the derivative (fg)0(x) equal to f 0(x)g(x) + f(x)g0(x). Likewise, the reciprocal and quotient rules could be stated more completely. A proof of the product rule. This proof is not simple like the proofs of the sum and difference rules. By the definition of derivative, (fg)(x+h) − (fg)(x) (fg)0(x) = lim : h!0 h Now, the expression (fg)(x) means f(x)g(x), therefore, the expression (fg)(x+h) means f(x+h)g(x+h). -
U-Substitution and Integration by Parts
U-Substitution and Integration by Parts U-Substitution The general form of an integrand which requires U-Substitution is R f(g(x))g0(x)dx. This can be rewritten as R f(u)du. A big hint to use U-Substitution is that there is a composition of functions and there is some relation between two functions involved by way of derivatives. Examplep 1 R 3x + 2dx 1 R p 1 Let u = 3x + 2. Then du = 3dx and thus dx = 3 du. We then consider u( 3 )du. 1 R p 1 u3=2 2 3=2 3 udu = 3 3=2 + C = 9 u + C Next we must make sure to have everything in terms of x like we had in the beginning of the problem. From our previous choice of u, we know u = 3x + 2. 2 3=2 So our final answer is 9 (3x + 2) + C. For indefinite integrals, always make sure to switch back to the variable you started with. Example 2 R 2 3 4 1 x cos(x + 3)dx 4 3 1 3 Let u = x + 3. So du = 4x dx. Then 4 du = x dx From here we have two options. We can either switch back to x later and plug in our bounds after or we can change our integral bounds along with our U-Substitution and solve. Option 1: R b 1 If we do not change our bounds, we have a 4 cos(u)du. Note that we use a and b as placeholders for now. -
Products and Powers
Products and Powers Raising Functions to Positive Powers During the last two lectures, we learned about our first non-polynomial functions: the sine and cosine functions. Today, and for the next few lectures, we will learn how to build new functions using polynomial and non-polynomial functions like sine and cosine. We begin today with raising functions to positive powers and with multiplying two functions together. First, let us state the power rule of differentiation: suppose that f(x) is a function with a derivative. Define g(x) to be the function f(x) multiplied by itself n times, where n is a natural number. Then g(x) also has a derivative, and that derivative is given by dg df = n(f(x))n¡1 : dx dx There is a lot going on in this statement. First, we begin with a function with a derivative called f(x). So, for example, we could have f(x) = x2 + sin x. This function has a derivative: f 0(x) = 2x + cos x. So, our first condition is satisfied. Next, we define a new function, g(x), which is (f(x))n, that is, f(x) multiplied by itself n times, where n is some natural number. For example, we could take n = 5. So, to continue our example from above, we get that g(x) = (2x + cos x)5. Note that there is no need to multiply out the various terms in this expression. That would take a long time, and for the power rule, it is not necessary. Now we get to the heart of the power rule: the power rule tells us that g(x), which, again, is f(x) raised to the power of n, has a derivative itself. -
Review of Differentiation and Integration Rules from Calculus I and II for Ordinary Differential Equations, 3301 General Notatio
Review of di®erentiation and integration rules from Calculus I and II for Ordinary Di®erential Equations, 3301 General Notation: a; b; m; n; C are non-speci¯c constants, independent of variables e; ¼ are special constants e = 2:71828 ¢ ¢ ¢, ¼ = 3:14159 ¢ ¢ ¢ f; g; u; v; F are functions f n(x) usually means [f(x)]n, but f ¡1(x) usually means inverse function of f a(x + y) means a times x + y, but f(x + y) means f evaluated at x + y fg means function f times function g, but f(g) means output of g is input of f t; x; y are variables, typically t is used for time and x for position, y is position or output 0;00 are Newton notations for ¯rst and second derivatives. d d2 d d2 Leibnitz notations for ¯rst and second derivatives are and or and dx dx2 dt dt2 Di®erential of x is shown by dx or ¢x or h f(x + ¢x) ¡ f(x) f 0(x) = lim , derivative of f shows the slope of the tangent line, rise ¢x!0 ¢x over run, for the function y = f(x) at x General di®erentiation rules: dt dx 1a- Derivative of a variable with respect to itself is 1. = 1 or = 1. dt dx 1b- Derivative of a constant is zero. 2- Linearity rule (af + bg)0 = af 0 + bg0 3- Product rule (fg)0 = f 0g + fg0 µ ¶ f 0 f 0g ¡ fg0 4- Quotient rule = g g2 5- Power rule (f n)0 = nf n¡1f 0 6- Chain rule (f(g(u)))0 = f 0(g(u))g0(u)u0 7- Logarithmic rule (f)0 = [eln f ]0 8- PPQ rule (f ngm)0 = f n¡1gm¡1(nf 0g + mfg0), combines power, product and quotient 9- PC rule (f n(g))0 = nf n¡1(g)f 0(g)g0, combines power and chain rules 10- Golden rule: Last algebra action speci¯es the ¯rst di®erentiation rule to -
Differentiation Rules
1 Differentiation Rules c 2002 Donald Kreider and Dwight Lahr The Power Rule is an example of a differentiation rule. For functions of the form xr, where r is a constant real number, we can simply write down the derivative rather than go through a long computation of the limit of a difference quotient. Developing a repertoire of such basic rules, and gaining skill in using them, is a large part of what calculus is about. Indeed, calculus may be described as the study of elementary functions, a few of their basic properties such as continuity and differentiability, and a toolbox of computational techniques for computing derivatives (and later integrals). It is the latter computational ingredient that most students recall with such pleasure as they reflect back on learning calculus. And it is skill with those techniques that enables one to apply calculus to a large variety of applications. Building the Toolbox We begin with an observation. It is possible for a function f to be continuous at a point a and not be differentiable at a. Our favorite example is the absolute value function |x| which is continuous at x = 0 but whose derivative does not exist there. The graph of |x| has a sharp corner at the point (0, 0) (cf. Example 9 in Section 1.3). Continuity says only that the graph has no “gaps” or “jumps”, whereas differentiability says something more—the graph not only is not “broken” at the point but it is in fact “smooth”. It has no “corner”. The following theorem formalizes this important fact: Theorem 1: If f 0(a) exists, then f is continuous at a.