Antiderivatives Definition: Let F Be a Function. Suppose F Is a Function Such That F (X) = F(X), Then F Is Said to Be an Antider
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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 -
Infinitesimal Calculus
Infinitesimal Calculus Δy ΔxΔy and “cannot stand” Δx • Derivative of the sum/difference of two functions (x + Δx) ± (y + Δy) = (x + y) + Δx + Δy ∴ we have a change of Δx + Δy. • Derivative of the product of two functions (x + Δx)(y + Δy) = xy + Δxy + xΔy + ΔxΔy ∴ we have a change of Δxy + xΔy. • Derivative of the product of three functions (x + Δx)(y + Δy)(z + Δz) = xyz + Δxyz + xΔyz + xyΔz + xΔyΔz + ΔxΔyz + xΔyΔz + ΔxΔyΔ ∴ we have a change of Δxyz + xΔyz + xyΔz. • Derivative of the quotient of three functions x Let u = . Then by the product rule above, yu = x yields y uΔy + yΔu = Δx. Substituting for u its value, we have xΔy Δxy − xΔy + yΔu = Δx. Finding the value of Δu , we have y y2 • Derivative of a power function (and the “chain rule”) Let y = x m . ∴ y = x ⋅ x ⋅ x ⋅...⋅ x (m times). By a generalization of the product rule, Δy = (xm−1Δx)(x m−1Δx)(x m−1Δx)...⋅ (xm −1Δx) m times. ∴ we have Δy = mx m−1Δx. • Derivative of the logarithmic function Let y = xn , n being constant. Then log y = nlog x. Differentiating y = xn , we have dy dy dy y y dy = nxn−1dx, or n = = = , since xn−1 = . Again, whatever n−1 y dx x dx dx x x x the differentials of log x and log y are, we have d(log y) = n ⋅ d(log x), or d(log y) n = . Placing these values of n equal to each other, we obtain d(log x) dy d(log y) y dy = . -
Calculus Formulas and Theorems
Formulas and Theorems for Reference I. Tbigonometric Formulas l. sin2d+c,cis2d:1 sec2d l*cot20:<:sc:20 +.I sin(-d) : -sitt0 t,rs(-//) = t r1sl/ : -tallH 7. sin(A* B) :sitrAcosB*silBcosA 8. : siri A cos B - siu B <:os,;l 9. cos(A+ B) - cos,4cos B - siuA siriB 10. cos(A- B) : cosA cosB + silrA sirrB 11. 2 sirrd t:osd 12. <'os20- coS2(i - siu20 : 2<'os2o - I - 1 - 2sin20 I 13. tan d : <.rft0 (:ost/ I 14. <:ol0 : sirrd tattH 1 15. (:OS I/ 1 16. cscd - ri" 6i /F tl r(. cos[I ^ -el : sitt d \l 18. -01 : COSA 215 216 Formulas and Theorems II. Differentiation Formulas !(r") - trr:"-1 Q,:I' ]tra-fg'+gf' gJ'-,f g' - * (i) ,l' ,I - (tt(.r))9'(.,') ,i;.[tyt.rt) l'' d, \ (sttt rrJ .* ('oqI' .7, tJ, \ . ./ stll lr dr. l('os J { 1a,,,t,:r) - .,' o.t "11'2 1(<,ot.r') - (,.(,2.r' Q:T rl , (sc'c:.r'J: sPl'.r tall 11 ,7, d, - (<:s<t.r,; - (ls(].]'(rot;.r fr("'),t -.'' ,1 - fr(u") o,'ltrc ,l ,, 1 ' tlll ri - (l.t' .f d,^ --: I -iAl'CSllLl'l t!.r' J1 - rz 1(Arcsi' r) : oT Il12 Formulas and Theorems 2I7 III. Integration Formulas 1. ,f "or:artC 2. [\0,-trrlrl *(' .t "r 3. [,' ,t.,: r^x| (' ,I 4. In' a,,: lL , ,' .l 111Q 5. In., a.r: .rhr.r' .r r (' ,l f 6. sirr.r d.r' - ( os.r'-t C ./ 7. /.,,.r' dr : sitr.i'| (' .t 8. tl:r:hr sec,rl+ C or ln Jccrsrl+ C ,f'r^rr f 9. -
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. -
Derivative, Gradient, and Lagrange Multipliers
EE263 Prof. S. Boyd Derivative, Gradient, and Lagrange Multipliers Derivative Suppose f : Rn → Rm is differentiable. Its derivative or Jacobian at a point x ∈ Rn is × denoted Df(x) ∈ Rm n, defined as ∂fi (Df(x))ij = , i =1, . , m, j =1,...,n. ∂x j x The first order Taylor expansion of f at (or near) x is given by fˆ(y)= f(x)+ Df(x)(y − x). When y − x is small, f(y) − fˆ(y) is very small. This is called the linearization of f at (or near) x. As an example, consider n = 3, m = 2, with 2 x1 − x f(x)= 2 . x1x3 Its derivative at the point x is 1 −2x2 0 Df(x)= , x3 0 x1 and its first order Taylor expansion near x = (1, 0, −1) is given by 1 1 1 0 0 fˆ(y)= + y − 0 . −1 −1 0 1 −1 Gradient For f : Rn → R, the gradient at x ∈ Rn is denoted ∇f(x) ∈ Rn, and it is defined as ∇f(x)= Df(x)T , the transpose of the derivative. In terms of partial derivatives, we have ∂f ∇f(x)i = , i =1,...,n. ∂x i x The first order Taylor expansion of f at x is given by fˆ(x)= f(x)+ ∇f(x)T (y − x). 1 Gradient of affine and quadratic functions You can check the formulas below by working out the partial derivatives. For f affine, i.e., f(x)= aT x + b, we have ∇f(x)= a (independent of x). × For f a quadratic form, i.e., f(x)= xT Px with P ∈ Rn n, we have ∇f(x)=(P + P T )x. -
Chain Rule & Implicit Differentiation
INTRODUCTION The chain rule and implicit differentiation are techniques used to easily differentiate otherwise difficult equations. Both use the rules for derivatives by applying them in slightly different ways to differentiate the complex equations without much hassle. In this presentation, both the chain rule and implicit differentiation will be shown with applications to real world problems. DEFINITION Chain Rule Implicit Differentiation A way to differentiate A way to take the derivative functions within of a term with respect to functions. another variable without having to isolate either variable. HISTORY The Chain Rule is thought to have first originated from the German mathematician Gottfried W. Leibniz. Although the memoir it was first found in contained various mistakes, it is apparent that he used chain rule in order to differentiate a polynomial inside of a square root. Guillaume de l'Hôpital, a French mathematician, also has traces of the chain rule in his Analyse des infiniment petits. HISTORY Implicit differentiation was developed by the famed physicist and mathematician Isaac Newton. He applied it to various physics problems he came across. In addition, the German mathematician Gottfried W. Leibniz also developed the technique independently of Newton around the same time period. EXAMPLE 1: CHAIN RULE Find the derivative of the following using chain rule y=(x2+5x3-16)37 EXAMPLE 1: CHAIN RULE Step 1: Define inner and outer functions y=(x2+5x3-16)37 EXAMPLE 1: CHAIN RULE Step 2: Differentiate outer function via power rule y’=37(x2+5x3-16)36 EXAMPLE 1: CHAIN RULE Step 3: Differentiate inner function and multiply by the answer from the previous step y’=37(x2+5x3-16)36(2x+15x2) EXAMPLE 2: CHAIN RULE A biologist must use the chain rule to determine how fast a given bacteria population is growing at a given point in time t days later. -
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 . -
Antiderivatives Math 121 Calculus II D Joyce, Spring 2013
Antiderivatives Math 121 Calculus II D Joyce, Spring 2013 Antiderivatives and the constant of integration. We'll start out this semester talking about antiderivatives. If the derivative of a function F isf, that is, F 0 = f, then we say F is an antiderivative of f. Of course, antiderivatives are important in solving problems when you know a derivative but not the function, but we'll soon see that lots of questions involving areas, volumes, and other things also come down to finding antiderivatives. That connection we'll see soon when we study the Fundamental Theorem of Calculus (FTC). For now, we'll just stick to the basic concept of antiderivatives. We can find antiderivatives of polynomials pretty easily. Suppose that we want to find an antiderivative F (x) of the polynomial f(x) = 4x3 + 5x2 − 3x + 8: We can find one by finding an antiderivative of each term and adding the results together. Since the derivative of x4 is 4x3, therefore an antiderivative of 4x3 is x4. It's not much harder to find an antiderivative of 5x2. Since the derivative of x3 is 3x2, an antiderivative of 5x2 is 5 3 3 x . Continue on and soon you see that an antiderivative of f(x) is 4 5 3 3 2 F (x) = x + 3 x − 2 x + 8x: There are, however, other antiderivatives of f(x). Since the derivative of a constant is 0, 4 5 3 3 2 we can add any constant to F (x) to find another antiderivative. Thus, x + 3 x − 2 x +8x+7 4 5 3 3 2 is another antiderivative of f(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). -
Derivatives and Antiderivatives
Lesson R MA 16020 Nick Egbert Note. There should be no new information in this lesson. This is a brief review of things you should have learned in Calculus I, but certainly not exhaustive. Derivatives and antiderivatives There are several derivative anti derivative rules that you should have pretty well-memorized at this point: It is very important that you know these well to make the transition into this course go smoothly. Definition. Given a continuous function f(x), if F 0(x) = f(x); we say that F (x) is an antiderivative of f(x); and we write Z F (x) = f(x) dx: 1 Lesson R MA 16020 Nick Egbert Remark. If F (x) is an antiderivative of f(x) then the indefinite integral of f is given by Z f(x) dx = F (x) + C; where C is some constant. This means that any two functions which differ by only a constant will have the same antiderivative. Remark. We want to note a couple things about the notation R f(x)dx: 1. The process of computing R f(x)dx can be called antidifferentiation 5 integration 5 taking or evaluating the integral 2. f(5x) is called the integrand. 3. Writing the \dx" on the outside is essential. This tells us that we are integrating with respect to x. It will especially be important in MA 16020 when we start having integrals with more than one variable. Fundamental theorem of calculus Theorem. If f is a real-valued continuous function on the interval [a; b]; and F the antiderivative of f: Z x F (x) = f(t) dt; a Then F 0(x) = f(x) for all x in the interval (a; b): In particular, we have that Z b f(t) dt = F (b) − F (a): a This has an important geometric interpretation. -
Appendix: TABLE of INTEGRALS
-~.I-- Appendix: TABLE OF INTEGRALS 148. In the following table, the constant of integration, C, is omitted but should be added to the result of every integration. The letter x represents any variable; u represents any function of x; the remaining letters represent arbitrary constants, unless otherwise indicated; all angles are in radians. Unless otherwise mentioned, loge u = log u. Expressions Containing ax + b 1. I(ax+ b)ndx= 1 (ax+ b)n+l, n=l=-1. a(n + 1) dx 1 2. = -loge<ax + b). Iax+ b a 3 I dx =_ 1 • (ax+b)2 a(ax+b)· 4 I dx =_ 1 • (ax + b)3 2a(ax + b)2· 5. Ix(ax + b)n dx = 1 (ax + b)n+2 a2 (n + 2) b ---,,---(ax + b)n+l n =1= -1, -2. a2 (n + 1) , xdx x b 6. = - - -2 log(ax + b). I ax+ b a a 7 I xdx = b 1 I ( b) • (ax + b)2 a2(ax + b) + -;}i og ax + . 369 370 • Appendix: Table of Integrals 8 I xdx = b _ 1 • (ax + b)3 2a2(ax + b)2 a2(ax + b) . 1 (ax+ b)n+3 (ax+ b)n+2 9. x2(ax + b)n dx = - - 2b--'------'-- I a2 n + 3 n + 2 2 b (ax + b) n+ 1 ) + , ni=-I,-2,-3. n+l 2 10. I x dx = ~ (.!..(ax + b)2 - 2b(ax + b) + b2 10g(ax + b)). ax+ b a 2 2 2 11. I x dx 2 =~(ax+ b) - 2blog(ax+ b) _ b ). (ax + b) a ax + b 2 2 12 I x dx = _1(10 (ax + b) + 2b _ b ) • (ax + b) 3 a3 g ax + b 2(ax + b) 2 .