Transcendental Functions

Size: px
Start display at page:

Download "Transcendental Functions"

Transcription

1 78 Chapter 9 Transcenental Functions 9 Transcenental Functions ÁÒÚ Ö ÙÒØ ÓÒ º½ Informally, two functions f an g are inverses if each reverses, or unoes, the other More precisely: DEFINITION 9 Two functions f an g are inverses if for all x in the omain of g, f(g(x)) = x, an for all x in the omain of f, g(f(x)) = x EXAMPLE 9 f = x 3 an g = x /3 are inverses, since (x 3 ) /3 = x an (x /3 ) 3 = x EXAMPLE 93 f = x an g = x / are not inverses While (x / ) = x, it is not true that (x ) / = x For example, with x =, (( ) ) / = / = The problem in the previous example can be trace to the fact that there are two ifferent numbers with square equal to This turns out to be precisely escriptive of functions without inverses DEFINITION 9 Let A an B be sets an let f : A B be a function We say that f is injective or one-to-one if f(x) = f(y) implies that x = y We say that f is surjective or onto if for every b B there is an a A such that f(a) = b If f is both injective an surjective, then f is bijective or one-to-one an onto We are intereste only in the case that A an B are sets of real numbers, an in this case there is a nice geometric interpretation of injectivity It is often easy to use this interpretation to ecie whether a function is or is not - THEOREM 95 Horizontal line test If f is a function efine on some subset of the real numbers, then f is injective if an only if every horizontal line intersects the graph of f at most once EXAMPLE 96 The function f = x fails this test: horizontal lines y = k for k > 0 intersect the graph of f twice (The horizontal line y = 0 oes intersect it only once, an lines y = k, k < 0, o not intersect the graph at all) EXAMPLE 97 In each of these cases, we assume that f:a R, where A is the set of all real numbers for which f makes sense The function f(x) = x is bijective The function f(x) = x isneither injective nor surjective If we think of f as a function from R to the non-negative real numbers, then f is surjective; in other wors, if a function is not surjective this is not a major stumbling block The function f(x) = /x is injective but not surjective since there is no value of x such that f(x) = 0 The function f(x) = x(x )(x+) is surjective but not injective; f(x) = 0 for three ifferent values of x On the other han lim f(x) = an lim f(x) = Since f is x x continuous on R, the intermeiate value theorem (56) guarantees that f takes all values between an The erivative furnishes us with a convenient criterion for injectivity without explicitly looking for points where injectivity may fail THEOREM 98 If f is ifferentiable an f (x) > 0 then f is injective Proof Suppose that f(a) = f(b) for some a < b By Rolle s theorem (65) there exists c (a,b) such that f (c) = (f(b) f(a))/(b a) = 0, which contraicts the hypothesis that f (x) > 0 Hence, if f(a) = f(b) then a = b In the same way, we can see that if f (x) < 0 then f is injective EXAMPLE 99 Let f(x) = x 5 +x Since f (x) = 5x + > 0, f is injective EXAMPLE 90 Let f(x) = x + sinx Then f (x) = + cosx for every x Hence, f is injective 77

2 9 Inverse functions 79 EXAMPLE 9 Let f(x) = x 3 This f is injective although the above theorem oes not apply, since f (0) = 0 Therefore, the conitions in the theorem are sufficient but not necessary Our knowlege of erivatives can also lea us to conclue that a function is not injective THEOREM 9 If f is continuous an has a local maximum or minimum then f is not injective Proof Supposethatf hasalocalmaximumatx = c Theninsomeinterval(c h,c+h), f(x) f(c) Let a (c h,c) If f(a) = f(c) then f is not injective; otherwise, f(a) < f(c) Let b (c,c + h) If f(b) = f(c) or f(b) = f(a) then f is not injective Otherwise, either f(b) < f(a) < f(c) or f(a) < f(b) < f(c) If f(b) < f(a) then by the intermeiate value theorem, there is a number (c,b) such that f() = f(a) an so f is not injective Likewise, if f(a) < f(b) then there is a number in (a,c) such that f() = f(b) an so f is not injective In every case, we see that f is not injective To return to our principal interest, inverse functions, we now connect bijections an inverses THEOREM 93 Suppose f:a B is a bijection Then f has an inverse function g:b A Proof Suppose b B Since f is onto, there is an a A such that f(a) = b Since f is, a is the only element of A with this property We let g(b) = a Now it is easy to see that for all a A, g(f(a)) = a an for all b B, f(g(b)) = b We really on t have any choice about how to efine g in this proof; if f is a bijection, its inverse is completely etermine Thus, instea of using a new symbol g, we normally refer to the inverse of f as f Unfortunately, it is often ifficult to fin an explicit formula for the inverse of a given function, f, even if it is known that f is bijective Generally, we attempt to fin an inverse in this way: Write y = f(x) Interchange x an y 3 Solve for y Replace y with f (x) 80 Chapter 9 Transcenental Functions Step 3 is the har part; inee it is sometimes impossible to perform using algebraic operations EXAMPLE 9 Fin the inverse of f(x) = (x 6)/(3x + 7) First we write x = (y 6)/(3y+7) Now we solve for y: x = y 6 3y +7 x(3y +7) = y 6 3xy +7x = y 6 7x+6 = y 3xy 7x+6 = y( 3x) 7x+6 3x = y Finally, we say f (x) = (7x+6)/( 3x) EXAMPLE 95 Fin the inverse function of f(x) = x x+8 where x What are the omain an range of the inverse function? First, y = x x + 8 becomes x = y y + 8 Now we complete the square: x = (y ) +anrearrangetogetx = (y ) Sinceintheoriginalfunctionx 0, an we have switche x an y, we know that y 0 Thus taking the square root, we know y = x, not y = x Finally we write y = f (x) = + x The omain of f is x an the range is y While simple in principle, this metho is sometimes ifficult or impossible to apply For example, consier f(x) = x 3 +x Since f (x) = 3x + > 0 for every x, f is injective (In fact it is bijective) To fin the inverse as above, we woul nee to solve x = y 3 + y for y; while possible, this is consierably more ifficult than solving the quaratic of the previous example Some simple looking equations are impossible to solve using algebraic manipulation For example, consier f(x) = x 5 +x 3 +x+ a quintic polynomial (ie, a fifth egree polynomial) Since f (x) = 5x +3x + > 0, f is injective (an inee f is bijective) If there were a quintic formula, analogous to the quaratic formula, we coul use that to compute f Unfortunately, no such formula exists fifth egree equations cannot in general be solve (There are exceptions; x 5 = can be solve, for example) Fortunately, it is often more important to know that a function has an inverse then to be able to come up with an explicit formula Once an inverse is known to exist, numerical

3 9 Inverse functions 8 8 Chapter 9 Transcenental Functions techniques can often be employe to obtain approximations of the inverse function Thus, theorem 98 an proposition 9 provie useful criteria for eciing whether a function is invertible We now turn to the calculus of inverse functions THEOREM 96 Let A be an open interval an let f : A R be injective an continuous Then f is continuous on f(a) Proof Since A is an open interval an f is injective an continuous it follows by proposition 9 that f has no local maxima or minima Hence, f is either strictly increasing or strictly ecreasing Without loss of generality, f is strictly increasing Fix b f(a) Then there exists a unique a A such that f(a) = b Let ǫ > 0 an we may assume that (a ǫ,a+ǫ) A Let δ = min{b f(a ǫ),f(a+ǫ) b} an note that δ > 0 since f is increasing Then the interval (b δ,b + δ) is mappe by f into (a ǫ,a+ǫ) Since ǫ was arbitrary, it follows that f is continuous at b Our principal interest in inverses is the simple relationship between the erivative of a function an its inverse THEOREM 97 Inverse function theorem Let A be an open interval an let f : A R be injective an ifferentiable If f (x) 0 for every x A then f is ifferentiable on f(a) an (f ) (x) = /f (f (x)) Proof Fix b f(a) Then there exists a unique a A such that f(a) = b For y b, let x = f (y) Since f is ifferentiable, it follows that f an hence f are continuous Then f (b) f (y) a x lim = lim y b b y x a f(a) f(x) = f (a) In Leibniz notation, this can be written as x y =, which is easy to remember y/x since it looks like orinary fractional algebra EXAMPLE 98 Let f(x) = 3x 3 + 5x 7 Since f(0) = 7, f ( 7) = 0 Since f (x) = 9x +5, f (0) = 5 an so (f ) ( 7) = /f (0) = /5 Exercises 9 Which of the following functions are injective? Which are surjective? Which are bijective? Sketch the graph of each function to illustrate your answers a f:r R, f(x) = x b f:[0, ) R, f(x) = x c f:r [0, ), f(x) = x f:(,0] [0, ), f(x) = x Which of the following functions are injective? Which are surjective? Which are bijective? Sketch the graph of each function to illustrate your answers a f:r R, f(x) = x 3 b f:[0, ) R, f(x) = x c f:r [,], f(x) = sinx f:[0,π] [,], f(x) = cosx 3 Define f(x) = { x x 0 x = 0 Show that f is not injective on R Show that f (x) > 0 for x 0 Why oes this not contraict theorem 98? Define f(x) = { x x < 0 0 x = 0 0+x 0 < x Show that f is injective an has a local minimum Why oes this not contraict theorem 9? 5 If A = R sketch the graph of the ientity function on A 6 Fin the inverse function of f(x) = (x 6)/(7x +5) What are the omain an range of f? 7 Fin the inverse function of f(x) = x/(3x 6) What are the omain an range of f? 8 Fin the inverse function of f(x) = ax+b when a 0 What are the omain an range of f? 9 Fin the inverse function of f(x) = /(cx+) when c 0 What are the omain an range of f? 0 Suppose that a bc 0 Fin the inverse function of f(x) = (ax+b)/(cx+) What are the omain an range of f? (The omain an range will epen on which if any of a,b,c, an are zero) Note: The conition a bc 0 is a technical conition which ensures that both the omain of f will be all real numbers with perhaps one exception an that that the range of f will be all real numbers with perhaps one exception Fin the inverse function of f(x) = x for x What are the omain an range of f? Fin the inverse function of f(x) = x 5 What are the omain an range of f? 3 Fin the inverse function of f(x) = x 3 5 What are the omain an range of f? Fin the inverse function of f(x) = x 7 What are the omain an range of f? 5 Fin the inverse function of f(x) = x +8x for x What are the omain an range of f?

4 9 The natural logarithm 83 6 Fin the inverse function of f(x) = x 9x+0 for x 3 What are the omain an range of f? 7 Fin the inverse function of f(x) = x + bx + c for x b/ What are the omain an range of f? 8 Fin the inverse function of f(x) = x + bx + c for x b/ What are the omain an range of f? 9 Fin the inverse function of f(x) = (+ x)/( x) What are the omain an range of f? 0 Show that f(x) = x 7 +3x has an inverse function on R Show that f(x) = x 9/9 +x 5 has an inverse function on R Let A R an let f : A R be injective Then f exists on f(a) Note that the point P(a,f(a)) is on the graph of f an that Q(f(a),a) is the corresponing point on the graph of f a Show that if a f(a) then the slope of the line segment PQ is b Conclue that if a f(a) the line segment PQ is perpenicular to the graph, L, of the ientity function on R c Show that the mipoint of PQ is on L Conclue that the graph of f is the graph of f reflecte through L 3 Let f(x) = x 3 +x Sketch the graph of f an f on the same iagram Let f(x) = x 5 +x 3 + Sketch the graph of f an f on the same iagram 5 a Suppose that f is an increasing function on R What can you say about f? b Suppose that f is a concave up function on R What can you say about f? In both parts, use exercise to illustrate your claim 6 Let f(x) = 3x 3 +9x+ Compute (f ) () 7 Let f(x) = x + Show that f is increasing at x = 0 Thus, there is an interval I containing 0 such that f is injective on I Compute (f ) () 8 Let f(x) = ax+b with a 0 Compute (f ) (b) Why o we nee the conition a 0? 9 Let f(x) = ax + bx + c with b 0 Compute (f ) (c) Why o we nee the conition b 0? 30 Let f(x) = a nx n +a n x n + +a x+a 0 = n k=0 akxk with a 0 Compute (f ) (a 0) Why o we nee the conition a 0? 3 Suppose that f is injective on some interval containing 3 If f(3) = an f (3) = 6 what is (f ) ()? Ì Ò ØÙÖ Ð ÐÓ Ö Ø Ñ º¾ The function f(t) = /t is continuous on (0, ) By the funamental theorem of calculus, f has an antierivative on on the interval with en points x an whenever x > 0 This observation allows us to make the following efinition 8 Chapter 9 Transcenental Functions DEFINITION 9 The natural logarithm ln(x) is an antierivative of /x, given by x lnx = t t Figure 9 gives a geometric interpretation of ln Note that when x <, lnx is negative x area is lnx x Figure 9 ln(x) is an area Some properties of this function lnx are now easy to see THEOREM 9 Suppose that x,y > 0 an q Q a x lnx = x b ln() = 0 c ln(xy) = lnx+lny ln(x/y) = lnx lny e lnx q = qlnx area is lnx Proof Part (a) is simply the Funamental Theorem of Calculus (7) Part (b) follows irectly from the efinition, since ln() = t t Part (c) is a bit more involve; start with: xy x ln(xy) = t t = xy t t+ xy t = ln(x)+ x t x t t

5 In the remaining integral, use the substitution u = t/x to get xy x y t t = Parts () an (e) are left as exercises y xu xu = 9 The natural logarithm 85 u = ln(y) u Part (e) is in fact true for any real number q (not just rationals) but one of the points of our approach here is to give a rigorous efinition of real powers which so far we have not one We now turn to the task of sketching the graph of lnx THEOREM 93 ln x is increasing an its graph is concave own everywhere Proof Since lnx = /x ispositivefor x > 0, the Mean Value Theorem (65)implies x that lnx is increasing The secon erivative of lnx is then /x which is negative, so the graph is concave own Notice that this theorem implies that ln x is injective THEOREM 9 lim lnx = x Proof Note that ln > 0 an for n N, ln n = nln Since lnx is increasing, when x > n, ln(x) > nln Since lim nln =, also lim lnx = n x COROLLARY 95 lim x 0 + lnx = Proof If 0 < x <, then (/x) > an lim x 0 +(/x) = Let y = /x; then lim x 0 + lnx = lim y ln(/y) = lim y ln() ln(y) = lim y ln(y) = Thus, the omain of ln is (0, ) an the range is R; ln(x) is shown in figure 9 86 Chapter 9 Transcenental Functions By the intermeiate value theorem (56) there is a number e such that lne = The number e is also known as Napier s constant It turns out that e is not rational In fact, e is not the root of a polynomial with rational coefficients which means that e is a transcenental number We will not prove these assertions here The value of e is approximately 78 EXAMPLE 96 Let f(x) = ln(x 5 +7x+) Compute f (x) Using the chain rule: f (x) = x 5 +7x+ (5x+7) EXAMPLE 97 Let f(x) = ln( x) for x < 0 Compute f (x) f (x) = x ( ) = x So the erivatives of ln(x) an ln( x) are the same Thus, you will often see ln x +C as the general antierivative of /x EXAMPLE 98 Compute tanxx Use u = cosx: sinx tanxx = cosx x = u = ln u +C = ln cosx +C u Using one of the properties of the logarithm, we coul go further: ln cosx +C = ln (cosx) +C = ln secx +C x x = EXAMPLE 99 Let f(x) = x8 (x+) 6/7 (x 0 +x +) 6 Compute f (x) Computing the erivative irectly is straightforwar but irritating We therefore take an inirect approach Note that f(x) > 0 for every x Let g(x) = lnf(x) Then g (x) = f (x)/f(x) an so f (x) = f(x)g (x) Now ( x 8 (x+) 6/7 ) g(x) = ln (x 0 +x +) 6 0 e Figure 9 The graph of ln(x) Hence, Therefore, = 8lnx+ 6 7 ln(x+) 6ln(x0 +x +) g (x) = 8 x + 6 7(x+) 6(0x9 +8x) x 0 +x + f (x) = x8 (x+) 6/7 ( ) 8 (x 0 +x +) 6 x + 6 7(x+) 6(0x9 +8x) x 0 +x +

6 Exercises 9 Prove parts () an (e) of theorem 9 93 The exponential function 87 In subsequent exercises, it is unerstoo that the arguments in any logarithms are positive unless otherwise state Expan ln((x+5) 7 (x )) x 3 3 Expan ln 3x 5+(7/x) Sketch the graph of y = ln(x 7) Sketch the graph of y = ln x for x 0 6 Write ln3x+7ln(x ) ln(x +x+) as a single logarithm 7 Differentiate f(x) = xlnx 8 Differentiate f(x) = ln(ln(3x)) 9 Sketch the graph of ln(x x) 0 Differentiate f(x) = +ln(3x ) +ln(x) Differentiate f(x) = ln secx+tanx Fin the secon erivative of f(x) = ln(x ) 3 Fin the equation of the tangent line to f(x) = lnx at x = a Differentiate f(x) = x8 (x 3) / 7x 6 (x 6) 8 5 If f(x) = ln(x 3 +) compute f (e /3 ) e 6 Compute x x 7 Compute the erivative with respect to x of π/6 lnx lntt (Assume that x > ) 8 Compute tan(x) x 0 lnx 9 Compute x x sin(x) 0 Compute +cos x x Fin the volume of the soli obtaine by rotating the region uner y = / x from to e about the x-axis 88 Chapter 9 Transcenental Functions DEFINITION 93 The inverse function of ln(x) is y = exp(x), calle the natural exponential function The omain of exp(x) is all real numbers an the range is (0, ) Note that because exp(x) is the inverse of ln(x), exp(lnx) = x for x > 0, an ln(expx) = x for all x Also, our knowlege of ln(x) tells us immeiately that exp() = e, exp(0) =, lim expx =, x an lim expx = 0 x THEOREM 93 exp(x) = exp(x) x Proof By the Inverse Function Theorem (97), exp(x) has a erivative everywhere The theorem also tells us what the erivative is Alternately, we may compute the erivative using implicit ifferentiation: Let y = expx, so lny = x Differentiating with respect to x we get y y x = Hence, y x = y = expx COROLLARY 933 Since expx > 0, expx is an increasing function whose graph is concave up The graph of the natural exponential function is inicate in figure 93 Compare this to the graph of lnx, figure e Ì ÜÔÓÒ ÒØ Ð ÙÒØ ÓÒ º In this section, we efine what is arguably the single most important function in all of mathematics We have alreay note that the function ln x is injective, an therefore it has an inverse 0 Figure 93 The graph of exp(x) COROLLARY 93 The general antierivative of expx is expx+c

7 93 The exponential function 89 Of course, the wor exponential alreay has a mathematical meaning, an this meaning extens in a natural way to the exponential function exp(x) LEMMA 935 For any rational number q, exp(q) = e q Proof Let y = e q Then lny = ln(e q ) = qlne = q, an so y = exp(q) In view of this lemma, we usually write exp(x) as e x for any real number x Conveniently, it turns out that the usual laws of exponents apply to e x THEOREM 936 For every x,y R an q Q: (a) e x+y = e x e y (b) e x y = e x /e y (c) (e x ) q = e xq Proof Parts(b)an(c)areleftasexercises Forpart(a),ln(e x e y ) = lne x +lne y = x+y, so e x e y = e x+y EXAMPLE 937 Solve e x+5 3 = 0 for x If e x+5 3 = 0 then x+5 = ln3 an so x = ln3 5 EXAMPLE 938 Fin the erivative of f(x) = e x3 sin(x) By the prouct an chain rules, f (x) = 3x e x3 sin(x)+e x3 cos(x) 90 Chapter 9 Transcenental Functions ) 9 Compute the erivative of f(x) = e x (+x+ x + x3 xn + + 3! n! 0 Prove that e x > for x 0 Then prove that e x > +x for x 0 Using the previous two exercises, prove (using mathematical inuction) that e x > + x + x n + x3 xn + + 3! n! = x k for x 0 k! k=0 Use the preceing exercise to show that e > 7 3 Differentiate ekx +e kx with respect to x e x +e x Compute lim x e x e x 5 Integrate 5x e x5 with respect to x 6 Compute π/3 e /x 7 Compute x x 3 8 Let F(x) = 0 e x 0 cos(x)e sinx x e t t Compute F (0) 9 If f(x) = e kx what is f (90) (x)? ÇØ Ö º Notice that if q Q an a > 0 then a q = e ln(aq) = e qlna This equation motivates the following efinition EXAMPLE 939 Evaluate xe x x Let u = x, so u = xx Then Exercises 93 xe x x = Prove parts (b) an (c) of theorem 936 Solve ln(+ x) = 6 for x 3 Solve e x = 8 for x Solve ln(ln(x)) = for x 5 Sketch the graph of f(x) = e x Sketch the graph of f(x) = 3e x+6 e u u = eu = ex +C 7 Fin the equation of the tangent line to f(x) = e x at x = a 8 Compute the erivative of f(x) = 3x e 5x 6 DEFINITION 9 For a > 0 an x R, we efine a x = e xlna The function f(x) = a x is the exponential function with base a Separately, we efine 0 x = 0 for x > 0 Notice also that for x R an a > 0, lna x = ln(e xlna ) = xlna Hence, the power rule for the natural logarithm works even when the power is irrational We now show that the familiar rules for exponents are vali THEOREM 9 For x,y R an a,b > 0: Proof a a x+y = a x a y b a x y = a x /a y c (a x ) y = a xy (ab) x = a x b x

8 (a) We compute: a x+y = e (x+y)lna = e xlna+ylna = e xlna e ylna = a x a y The proof of (b) is similar an left as an exercise (c) We compute: (a x ) y = e yln(ax) = e yxlna = a xy () We compute: (ab) x = e xln(ab) = e xlna+xlnb = e xlna e xlnb = a x b x THEOREM 93 If f(x) = a x (with a > 0) then f (x) = a x lna Proof f (x) = x (exlna ) = e xlna lna = a x lna COROLLARY 9 For a > 0 an a, a x x = ax lna +C We are now in a position to prove the general power rule 9 Other bases 9 THEOREM 95 Power Rule If f(x) = x n, x > 0, an n is any real number, then f (x) = nx n Proof f (x) = x xn = x enlnx = e nlnxn x = nxn x = nxn The restriction that x > 0 is necessary since we have not efine exponential expressions with negative bases an arbitrary real powers We now turn to logarithms base a Note that if a > 0 an a then a x lna 0 for every x Hence, the function f(x) = a x is injective DEFINITION 96 If a > 0 an a, the inverse of a x is calle the logarithmic function base a In symbols, we write this function as log a x We exclue a = because x = is not injective on any omain containing more than one point Remark If a = 0 we usually write log instea of log 0, an of course log e = ln In more avance texts, log refers to the natural logarithm THEOREM 97 The following hol for a,x,y > 0, a, an q R: a log a (xy) = log a x+log a y b log a x y = log ax log a y c log a x q = qlog a x Proof (a) Let u = log a x an v = log a y Then a u = x an a v = y, an xy = a u a v = a u+v, so log a (xy) = u+v = log a x+log a y 9 Chapter 9 Transcenental Functions The other parts are left as exercises When computing ecimal approximations to logs of arbitrary bases with a calculator or a computer algebra system the following result comes in hany LEMMA 98 If a,b > 0, a,b, an x > 0, log a x = log b x log b a Proof Let y = log a x, so a y = x Then log b x = log b (a y ) = ylog b a = log a xlog b a Typically this is useful when b = e an b = 0, since calculators can typically compute logarithms to those bases THEOREM 99 x log ax = xlna Proof By the preceing lemma, f(x) = lnx/lna, an the erivative is then easy Finally, we express e x as a limit When x = we get a limit expression for e which is sometimes taken as the efinition of e ( THEOREM 90 If x 0, e x = lim + x n n n) Proof If x = 0 both expressions are If x > 0 we begin by rewriting the right sie as we have before: Now because e x is continuous, ( + x ) n ( ) n = e ln(+x/n) = e nln(+x/n) n lim n enln(+x/n) = e limn nln(+x/n) So really we nee to compute lim nln(+x/n), for which we use L Hôpitals rule: n x ln(+x/n) +x/n n lim nln(+x/n) = lim = lim n n /n n /n = lim n This same simple fact, a = e lna, is useful in many similar situations +x/n x = x EXAMPLE 9 Let f(x) = x x, x > 0 Compute f (x) an lim x 0 +f(x)

9 Start with f(x) = x x = e xlnx Then For the limit, we again notice that f (x) = e xlnx ( x x +lnx ) = x x (+lnx) lim x 0 + x x = lim x 0 + e xlnx = e lim x 0+ xlnx Then we compute the limit by L Hôpital s rule again: Thus lim x 0 + x x = e 0 = lnx lim x 0 +xlnx = lim x 0 + /x = lim /x x 0 + /x = lim x 0 +( x) = 0 EXAMPLE 9 Compute π/3 π/6 cosx sinx x 9 Other bases 93 Let u = cosx, so u = sinx x Changing the limits, when x = π/6, u = 3/, an when x = π/3, u = / Then π/3 π/6 Exercises 9 / cosx sinx x = u u = u / 3/ ln = / + 3/ ln Prove part (b) of theorem 9 Sketch the graph of y = a x in the three cases a >, a =, an 0 < a < What happens to the graph as a 0 +? What happens to the graph as a? 3 Sketch the graph of y = log a x in the two cases a > an 0 < a < What happens to the graph as a 0 +? What happens to the graph as a? (Use the previous exercise together with exercise in section 9) Prove parts (b) an (c) of theorem 97 5 Sketch the graph of y = 3 6x +5 6 Sketch the graph of y = (/) 3x 7 Sketch the graph of y = log (x+6) 8 Compute the secon erivative of f(x) = x x 9 Compute f (π/) when f(x) = 5 sin3x +log 7 x 0 Compute the erivative of f(x) = 3 x x +sin(3x) π e 3/ 9 Chapter 9 Transcenental Functions Compute 3 x x 3 x Compute sin( x ) x x 3 Fin the area of the region given by {(x,y) x, x y 3 x } Fin the average of the function f(x) = x 5 x on the interval [,9] 5 Fin the volume of the soli obtaine by rotating the region {(x,y) x,(log x)/x y x } about the line y = 6 Show that log a x = log /a x for any a > 0,a Interpret this result geometrically; that is, sketch the graph of y = log a x an y = log /a x on the same iagram an point out how the graphs are relate to each other ÁÒÚ Ö ÌÖ ÓÒÓÑ ØÖ ÙÒØ ÓÒ º The trigonometric functions frequently arise in problems, an often it is necessary to invert the functions, for example, to fin an angle with a specifie sine Of course, there are many angles with the same sine, so the sine function oesn t actually have an inverse that reliably unoes the sine function If you know that sinx = 05, you can t reverse this to iscover x, that is, you can t solve for x, as there are infinitely many angles with sine 05 Nevertheless, it is useful to have something like an inverse to the sine, however imperfect The usual approach is to pick out some collection of angles that prouce all possible values of the sine exactly once If we iscar all other angles, the resulting function oes have a proper inverse The sine takes on all values between an exactly once on the interval [ π/,π/] If we truncate the sine, keeping only the interval [ π/,π/], as shown in figure 95, then this truncate sine has an inverse function We call this the inverse sine or the arcsine, an write y = arcsin(x) π 3π/ π/ π π/ π/ π/ π 3π/ π π/ π/ Figure 95 The sine, the truncate sine, the inverse sine

10 95 Inverse Trigonometric Functions Chapter 9 Transcenental Functions Recall that a function an its inverse uno each other in either orer, for example, ( 3 x) 3 = x an 3 x 3 = x This oes not work with the sine an the inverse sine because the inverse sine is the inverse of the truncate sine function, not the real sine function It is true that sin(arcsin(x)) = x, that is, the sine unoes the arcsine It is not true that the arcsine unoes the sine, for example, sin(5π/6) = / an arcsin(/) = π/6, so oing first the sine then the arcsine oes not get us back where we starte This is because 5π/6 is not in the omain of the truncate sine If we start with an angle between π/ an π/ then the arcsine oes reverse the sine: sin(π/6) = / an arcsin(/) = π/6 What is the erivative of the arcsine? Since this is an inverse function, we can iscover the erivative by using implicit ifferentiation Suppose y = arcsin(x) Then π π/ π/ π Figure 95 The truncate cosine, the inverse cosine sin(y) = sin(arcsin(x)) = x π/ Now taking the erivative of both sies, we get y cosy = y = cosy π/ π/ π/ π/ π/ As we expect when using implicit ifferentiation, y appears on the right han sie here We woul certainly prefer to have y written in terms of x, an as in the case of lnx we can actually o that here Since sin y + cos y =, cos y = sin y = x So cosy = ± x, but which is it plus or minus? It coul in general be either, but this isn t in general : since y = arcsin(x) we know that π/ y π/, an the cosine of an angle in this interval is always positive Thus cosy = x an x arcsin(x) = x Note that this agrees with figure 95: the graph of the arcsine has positive slope everywhere We can o something similar for the cosine As with the sine, we must first truncate the cosine so that it can be inverte, as shown in figure 95 Then we use implicit ifferentiation to fin that x arccos(x) = x Note that the truncate cosine uses a ifferent interval than the truncate sine, so that if y = arccos(x) we know that 0 y π The computation of the erivative of the arccosine is left as an exercise Figure 953 The tangent, the truncate tangent, the inverse tangent Finally we look at the tangent; the other trigonometric functions also have partial inverses but the sine, cosine an tangent are enough for most purposes The tangent, truncate tangent an inverse tangent are shown in figure 953; the erivative of the arctangent is left as an exercise Exercises 95 Show that the erivative of arccosx is x Show that the erivative of arctanx is +x 3 The inverse of cot is usually efine so that the range of arccot is (0,π) Sketch the graph of y = arccotx In the process you will make it clear what the omain of arccot is Fin the erivative of the arccotangent Show that arccotx+arctanx = π/ 5 Fin the erivative of arcsin(x ) 6 Fin the erivative of arctan(e x ) 7 Fin the erivative of arccos(sinx 3 ) 8 Fin the erivative of ln((arcsinx) ) 9 Fin the erivative of arccose x

11 0 Fin the erivative of arcsinx+arccosx Fin the erivative of log 5 (arctan(x x )) arcsec x Compute x x x ln(arcsin x) 3 Compute arcsinx x x Compute 5 Compute 0 ( +x 3 +xe x ) x +x x +9x 6 Fin the equation of the tangent line to f(x) = arccscx at x = π/6 7 Let { A = (x,y) } 3 x,0 y ( x ) / 96 Hyperbolic Functions 97 Sketch the region A Let S be the soli obtaine from rotating A about the x-axis Compute the volume of S 98 Chapter 9 Transcenental Functions Proof Let y = coshx We solve for x: y = ex +e x y = e x +e x ye x = e x + 0 = e x ye x + e x = y ± y e x = y ± y From the last equation, we see y, an since y 0, it follows that y Now suppose y, so y± y > 0 Then x = ln(y± y ) is a real number, an y = coshx, so y is in the range of cosh(x) DEFINITION 963 The other hyperbolic functions are ÀÝÔ Ö ÓÐ ÙÒØ ÓÒ º The hyperbolic functions appear with some frequency in applications, an are quite similar in many respects to the trigonometric functions This is a bit surprising given our initial efinitions DEFINITION 96 The hyperbolic cosine is the function an the hyperbolic sine is the function coshx = ex +e x, sinhx = ex e x Notice that cosh is even (that is, cosh( x) = cosh(x)) while sinh is o (sinh( x) = sinh(x)), an coshx +sinhx = e x Also, for all x, coshx > 0, while sinhx = 0 if an only if e x e x = 0, which is true precisely when x = 0 LEMMA 96 The range of coshx is [, ) tanhx = sinhx coshx cothx = coshx sinhx sechx = coshx cschx = sinhx The omain of coth an csch is x 0 while the omain of the other hyperbolic functions is all real numbers Graphs are shown in figure Figure 96 The hyperbolic functions: cosh, sinh, tanh, sech, csch, coth

12 96 Hyperbolic Functions 99 Certainly the hyperbolic functions o not closely resemble the trigonometric functions graphically But they o have analogous properties, beginning with the following ientity THEOREM 96 For all x in R, cosh x sinh x = Proof The proof is a straightforwar computation: cosh x sinh x = (ex +e x ) (ex e x ) This immeiately gives two aitional ientities: = ex ++e x e x + e x tanh x = sech x an coth x = csch x = = The ientity of the theorem also helps to provie a geometric motivation Recall that the graph of x y = is a hyperbola with asymptotes x = ±y whose x-intercepts are ± If (x,y) is a point on the right half of the hyperbola, an if we let x = cosht, then y = ± x = ± cosh t = ±sinht So for some suitable t, cosht an sinht are the coorinates of a typical point on the hyperbola In fact, it turns out that t is twice the area shown in the first graph of figure 96 Even this is analogous to trigonometry; cost an sint are the coorinates of a typical point on the unit circle, an t is twice the area shown in the secon graph of figure (cosht,sinht) 3 (cost,sint) Figure 96 Geometric efinitions of sin, cos, sinh, cosh: t is twice the shae area in each figure Given the efinitions of the hyperbolic functions, fining their erivatives is straightforwar Here again we see similarities to the trigonometric functions THEOREM 965 coshx = sinhx an sinhx = coshx x x 00 Chapter 9 Transcenental Functions Proof x coshx = e x +e x = ex e x = sinhx, an x x sinhx = e x e x = x e x +e x = coshx Of course, this immeiately gives us two anti-erivatives as well Since coshx > 0, sinhx is increasing an hence injective, so sinhx has an inverse, arcsinhx Also, sinhx > 0 when x > 0, so coshx is injective on [0, ) an has a (partial) inverse, arccosh x The other hyperbolic functions have inverses as well, though arcsech x is only a partial inverse We may compute the erivatives of these functions as we have other inverse functions THEOREM 966 x arcsinhx = +x Proof Let y = arcsinhx, so sinhy = x Then x sinhy = cosh(y) y =, an so y = coshy = +sinh y = +x The other erivatives are left to the exercises Exercises 96 Show that the range of sinhx is all real numbers (Hint: show that if y = sinhx then x = ln(y + y +)) Compute the following limits: a lim coshx x b lim sinhx x c lim tanhx x lim (coshx sinhx) x 3 Show that the range of tanhx is (,) What are the ranges of coth, sech, an csch? (Use the fact that they are reciprocal functions) Prove that for every x,y R, sinh(x + y) = sinhxcoshy + coshxsinhy Obtain a similar ientity for sinh(x y) 5 Prove that for every x,y R, cosh(x + y) = coshxcoshy + sinhxsinhy Obtain a similar ientity for cosh(x y) 6 Use exercises an 5 to show that sinh(x) = sinhxcoshx an cosh(x) = cosh x+sinh x for every x Conclue also that (cosh(x) )/ = sinh x 7 Show that x (tanhx) = sech x Compute the erivatives of the remaining hyperbolic functions as well 8 What are the omains of the six inverse hyperbolic functions?

13 96 Hyperbolic Functions 0 9 Sketch the graphs of all six inverse hyperbolic functions The following four exercises expan on the geometric interpretation of the hyperbolic functions Refer to figure 96 0 Use exercises an 5 to show that sinh(x) = sinhxcoshx an cosh(x) = cosh x+sinh x for every x Conclue that (cosh(x) )/ = sinh x x Compute x (Hint: make the substitution u = arccoshx an then use the preceing exercise) Fix t > 0 Sketch the region R in the right half plane boune by the curves y = tanht, y = tanht, an y x = Note well: t is fixe, the plane is the x-y plane 3 Prove that the area of R is t

Transcendental Functions

Transcendental Functions 9 Transcendental Functions º½ ÁÒÚ Ö ÙÒØ ÓÒ Informally, two functions f and g are inverses if each reverses, or undoes, the other More precisely: DEFINITION 9 Two functions f and g are inverses if for all

More information

Transcendental Functions

Transcendental Functions 78 Chapter 9 Transcenental Functions º½ 9 Transcenental Functions ÁÒÚ Ö ÙÒØ ÓÒ Informally, two functions f an g are inverses if each reverses, or unoes, the other More precisely: DEFINITION 9 Two functions

More information

Transcendental Functions

Transcendental Functions 4 Transcenental Functions So far we have use only algebraic functions as examples when fining erivatives, that is, functions that can be built up by the usual algebraic operations of aition, subtraction,

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

Some functions and their derivatives

Some functions and their derivatives Chapter Some functions an their erivatives. Derivative of x n for integer n Recall, from eqn (.6), for y = f (x), Also recall that, for integer n, Hence, if y = x n then y x = lim δx 0 (a + b) n = a n

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

Derivatives and Its Application

Derivatives and Its Application Chapter 4 Derivatives an Its Application Contents 4.1 Definition an Properties of erivatives; basic rules; chain rules 3 4. Derivatives of Inverse Functions; Inverse Trigonometric Functions; Hyperbolic

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

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

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

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

L Hôpital s Rule was discovered by Bernoulli but written for the first time in a text by L Hôpital.

L Hôpital s Rule was discovered by Bernoulli but written for the first time in a text by L Hôpital. 7.5. Ineterminate Forms an L Hôpital s Rule L Hôpital s Rule was iscovere by Bernoulli but written for the first time in a text by L Hôpital. Ineterminate Forms 0/0 an / f(x) If f(x 0 ) = g(x 0 ) = 0,

More information

ARAB ACADEMY FOR SCIENCE TECHNOLOGY AND MARITIME TRANSPORT

ARAB ACADEMY FOR SCIENCE TECHNOLOGY AND MARITIME TRANSPORT ARAB ACADEMY FOR SCIENCE TECHNOLOGY AND MARITIME TRANSPORT Course: Math For Engineering Winter 8 Lecture Notes By Dr. Mostafa Elogail Page Lecture [ Functions / Graphs of Rational Functions] Functions

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

Implicit Differentiation

Implicit Differentiation Implicit Differentiation Thus far, the functions we have been concerne with have been efine explicitly. A function is efine explicitly if the output is given irectly in terms of the input. For instance,

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

cosh x sinh x So writing t = tan(x/2) we have 6.4 Integration using tan(x/2) = 2 2t 1 + t 2 cos x = 1 t2 We will revisit the double angle identities:

cosh x sinh x So writing t = tan(x/2) we have 6.4 Integration using tan(x/2) = 2 2t 1 + t 2 cos x = 1 t2 We will revisit the double angle identities: 6.4 Integration using tanx/) We will revisit the ouble angle ientities: sin x = sinx/) cosx/) = tanx/) sec x/) = tanx/) + tan x/) cos x = cos x/) sin x/) tan x = = tan x/) sec x/) tanx/) tan x/). = tan

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

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

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

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

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

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

Chapter 5 Logarithmic, Exponential, and Other Transcendental Functions

Chapter 5 Logarithmic, Exponential, and Other Transcendental Functions Chapter 5 Logarithmic, Exponential, an Other Transcenental Functions 5.1 The Natural Logarithmic Function: Differentiation 5.2 The Natural Logarithmic Function: Integration 5.3 Inverse Functions 5.4 Exponential

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

Hyperbolic Functions. Notice: this material must not be used as a substitute for attending. the lectures

Hyperbolic Functions. Notice: this material must not be used as a substitute for attending. the lectures Hyperbolic Functions Notice: this material must not be use as a substitute for attening the lectures 0. Hyperbolic functions sinh an cosh The hyperbolic functions sinh (pronounce shine ) an cosh are efine

More information

MATH 120 Theorem List

MATH 120 Theorem List December 11, 2016 Disclaimer: Many of the theorems covere in class were not name, so most of the names on this sheet are not efinitive (they are escriptive names rather than given names). Lecture Theorems

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

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

MA 2232 Lecture 08 - Review of Log and Exponential Functions and Exponential Growth

MA 2232 Lecture 08 - Review of Log and Exponential Functions and Exponential Growth MA 2232 Lecture 08 - Review of Log an Exponential Functions an Exponential Growth Friay, February 2, 2018. Objectives: Review log an exponential functions, their erivative an integration formulas. Exponential

More information

Linear First-Order Equations

Linear First-Order Equations 5 Linear First-Orer Equations Linear first-orer ifferential equations make up another important class of ifferential equations that commonly arise in applications an are relatively easy to solve (in theory)

More information

Math 106 Exam 2 Topics

Math 106 Exam 2 Topics Implicit ifferentiation Math 106 Exam Topics We can ifferentiate functions; what about equations? (e.g., x +y = 1) graph looks like it has tangent lines tangent line? (a,b) Iea: Preten equation efines

More information

Trigonometric Functions

Trigonometric Functions 72 Chapter 4 Trigonometric Functions 4 Trigonometric Functions To efine the raian measurement system, we consier the unit circle in the y-plane: (cos,) A y (,0) B So far we have use only algebraic functions

More information

WORKBOOK. MATH 32. CALCULUS AND ANALYTIC GEOMETRY II.

WORKBOOK. MATH 32. CALCULUS AND ANALYTIC GEOMETRY II. WORKBOOK. MATH 32. CALCULUS AND ANALYTIC GEOMETRY II. DEPARTMENT OF MATHEMATICS AND COMPUTER SCIENCE Contributors: U. N. Iyer, P. Laul, I. Petrovic. (Many problems have been irectly taken from Single Variable

More information

Trigonometric Functions

Trigonometric Functions 4 Trigonometric Functions So far we have use only algebraic functions as examples when fining erivatives, that is, functions that can be built up by the usual algebraic operations of aition, subtraction,

More information

You should also review L Hôpital s Rule, section 3.6; follow the homework link above for exercises.

You should also review L Hôpital s Rule, section 3.6; follow the homework link above for exercises. BEFORE You Begin Calculus II If it has been awhile since you ha Calculus, I strongly suggest that you refresh both your ifferentiation an integration skills. I woul also like to remin you that in Calculus,

More information

Review of Differentiation and Integration for Ordinary Differential Equations

Review of Differentiation and Integration for Ordinary Differential Equations Schreyer Fall 208 Review of Differentiation an Integration for Orinary Differential Equations In this course you will be expecte to be able to ifferentiate an integrate quickly an accurately. Many stuents

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

Math 106 Exam 2 Topics. du dx

Math 106 Exam 2 Topics. du dx The Chain Rule Math 106 Exam 2 Topics Composition (g f)(x 0 ) = g(f(x 0 )) ; (note: we on t know what g(x 0 ) is.) (g f) ought to have something to o with g (x) an f (x) in particular, (g f) (x 0 ) shoul

More information

a x a y = a x+y a x a = y ax y (a x ) r = a rx and log a (xy) = log a (x) + log a (y) log a ( x y ) = log a(x) log a (y) log a (x r ) = r log a (x).

a x a y = a x+y a x a = y ax y (a x ) r = a rx and log a (xy) = log a (x) + log a (y) log a ( x y ) = log a(x) log a (y) log a (x r ) = r log a (x). You should prepare the following topics for our final exam. () Pre-calculus. (2) Inverses. (3) Algebra of Limits. (4) Derivative Formulas and Rules. (5) Graphing Techniques. (6) Optimization (Maxima and

More information

Math 1271 Solutions for Fall 2005 Final Exam

Math 1271 Solutions for Fall 2005 Final Exam Math 7 Solutions for Fall 5 Final Eam ) Since the equation + y = e y cannot be rearrange algebraically in orer to write y as an eplicit function of, we must instea ifferentiate this relation implicitly

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

Your signature: (1) (Pre-calculus Review Set Problems 80 and 124.)

Your signature: (1) (Pre-calculus Review Set Problems 80 and 124.) (1) (Pre-calculus Review Set Problems 80 an 14.) (a) Determine if each of the following statements is True or False. If it is true, explain why. If it is false, give a counterexample. (i) If a an b are

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

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

Chapter 7. Integrals and Transcendental Functions

Chapter 7. Integrals and Transcendental Functions 7. The Logarithm Define as an Integral Chapter 7. Integrals an Transcenental Functions 7.. The Logarithm Define as an Integral Note. In this section, we introuce the natural logarithm function using efinite

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

Calculus: Early Transcendental Functions Lecture Notes for Calculus 101. Feras Awad Mahmoud

Calculus: Early Transcendental Functions Lecture Notes for Calculus 101. Feras Awad Mahmoud Calculus: Early Transcendental Functions Lecture Notes for Calculus 101 Feras Awad Mahmoud Last Updated: August 2, 2012 1 2 Feras Awad Mahmoud Department of Basic Sciences Philadelphia University JORDAN

More information

Chapter 6: Integration: partial fractions and improper integrals

Chapter 6: Integration: partial fractions and improper integrals Chapter 6: Integration: partial fractions an improper integrals Course S3, 006 07 April 5, 007 These are just summaries of the lecture notes, an few etails are inclue. Most of what we inclue here is to

More information

Inverse Trig Functions

Inverse Trig Functions Inverse Trig Functions -8-006 If you restrict fx) = sinx to the interval π x π, the function increases: y = sin x - / / This implies that the function is one-to-one, an hence it has an inverse. The inverse

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

Fall 2016: Calculus I Final

Fall 2016: Calculus I Final Answer the questions in the spaces provie on the question sheets. If you run out of room for an answer, continue on the back of the page. NO calculators or other electronic evices, books or notes are allowe

More information

Math Notes on differentials, the Chain Rule, gradients, directional derivative, and normal vectors

Math Notes on differentials, the Chain Rule, gradients, directional derivative, and normal vectors Math 18.02 Notes on ifferentials, the Chain Rule, graients, irectional erivative, an normal vectors Tangent plane an linear approximation We efine the partial erivatives of f( xy, ) as follows: f f( x+

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

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

Additional Exercises for Chapter 10

Additional Exercises for Chapter 10 Aitional Eercises for Chapter 0 About the Eponential an Logarithm Functions 6. Compute the area uner the graphs of i. f() =e over the interval [ 3, ]. ii. f() =e over the interval [, 4]. iii. f() = over

More information

The Exact Form and General Integrating Factors

The Exact Form and General Integrating Factors 7 The Exact Form an General Integrating Factors In the previous chapters, we ve seen how separable an linear ifferential equations can be solve using methos for converting them to forms that can be easily

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

2 Recollection of elementary functions. II

2 Recollection of elementary functions. II Recollection of elementary functions. II Last updated: October 5, 08. In this section we continue recollection of elementary functions. In particular, we consider exponential, trigonometric and hyperbolic

More information

106 Chapter 5 Curve Sketching. If f(x) has a local extremum at x = a and. THEOREM Fermat s Theorem f is differentiable at a, then f (a) = 0.

106 Chapter 5 Curve Sketching. If f(x) has a local extremum at x = a and. THEOREM Fermat s Theorem f is differentiable at a, then f (a) = 0. 5 Curve Sketching Whether we are interested in a function as a purely mathematical object or in connection with some application to the real world, it is often useful to know what the graph of the function

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

ECM Calculus and Geometry. Revision Notes

ECM Calculus and Geometry. Revision Notes ECM1702 - Calculus and Geometry Revision Notes Joshua Byrne Autumn 2011 Contents 1 The Real Numbers 1 1.1 Notation.................................................. 1 1.2 Set Notation...............................................

More information

Section 7.2. The Calculus of Complex Functions

Section 7.2. The Calculus of Complex Functions Section 7.2 The Calculus of Complex Functions In this section we will iscuss limits, continuity, ifferentiation, Taylor series in the context of functions which take on complex values. Moreover, we will

More information

cosh x sinh x So writing t = tan(x/2) we have 6.4 Integration using tan(x/2) 2t 1 + t 2 cos x = 1 t2 sin x =

cosh x sinh x So writing t = tan(x/2) we have 6.4 Integration using tan(x/2) 2t 1 + t 2 cos x = 1 t2 sin x = 6.4 Integration using tan/ We will revisit the ouble angle ientities: sin = sin/ cos/ = tan/ sec / = tan/ + tan / cos = cos / sin / tan = = tan / sec / tan/ tan /. = tan / + tan / So writing t = tan/ we

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

The Natural Logarithm

The Natural Logarithm The Natural Logarithm -28-208 In earlier courses, you may have seen logarithms efine in terms of raising bases to powers. For eample, log 2 8 = 3 because 2 3 = 8. In those terms, the natural logarithm

More information

0.1 The Chain Rule. db dt = db

0.1 The Chain Rule. db dt = db 0. The Chain Rule A basic illustration of the chain rules comes in thinking about runners in a race. Suppose two brothers, Mark an Brian, hol an annual race to see who is the fastest. Last year Mark won

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

Inverse Trig Functions

Inverse Trig Functions Inverse Trig Functions -7-08 If you restrict fx) = sinx to the interval π x π, the function increases: y = sin x - / / This implies that the function is one-to-one, an hence it has an inverse. The inverse

More information

Exam 3 Review. Lesson 19: Concavity, Inflection Points, and the Second Derivative Test. Lesson 20: Absolute Extrema on an Interval

Exam 3 Review. Lesson 19: Concavity, Inflection Points, and the Second Derivative Test. Lesson 20: Absolute Extrema on an Interval Exam 3 Review Lessons 17-18: Relative Extrema, Critical Numbers, an First Derivative Test (from exam 2 review neee for curve sketching) Critical Numbers: where the erivative of a function is zero or unefine.

More information

Lecture 5: Inverse Trigonometric Functions

Lecture 5: Inverse Trigonometric Functions Lecture 5: Inverse Trigonometric Functions 5 The inverse sine function The function f(x = sin(x is not one-to-one on (,, but is on [ π, π Moreover, f still has range [, when restricte to this interval

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

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

Math 1A Midterm 2 Fall 2015 Riverside City College (Use this as a Review)

Math 1A Midterm 2 Fall 2015 Riverside City College (Use this as a Review) Name Date Miterm Score Overall Grae Math A Miterm 2 Fall 205 Riversie City College (Use this as a Review) Instructions: All work is to be shown, legible, simplifie an answers are to be boxe in the space

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

2 ODEs Integrating Factors and Homogeneous Equations

2 ODEs Integrating Factors and Homogeneous Equations 2 ODEs Integrating Factors an Homogeneous Equations We begin with a slightly ifferent type of equation: 2.1 Exact Equations These are ODEs whose general solution can be obtaine by simply integrating both

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

Chapter 3: Transcendental Functions

Chapter 3: Transcendental Functions Chapter 3: Transcendental Functions Spring 2018 Department of Mathematics Hong Kong Baptist University 1 / 32 Except for the power functions, the other basic elementary functions are also called the transcendental

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

2.1 The derivative. Rates of change. m sec = y f (a + h) f (a)

2.1 The derivative. Rates of change. m sec = y f (a + h) f (a) 2.1 The derivative Rates of change 1 The slope of a secant line is m sec = y f (b) f (a) = x b a and represents the average rate of change over [a, b]. Letting b = a + h, we can express the slope of the

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

1 Limits Finding limits graphically. 1.3 Finding limits analytically. Examples 1. f(x) = x3 1. f(x) = f(x) =

1 Limits Finding limits graphically. 1.3 Finding limits analytically. Examples 1. f(x) = x3 1. f(x) = f(x) = Theorem 13 (i) If p(x) is a polynomial, then p(x) = p(c) 1 Limits 11 12 Fining its graphically Examples 1 f(x) = x3 1, x 1 x 1 The behavior of f(x) as x approximates 1 x 1 f(x) = 3 x 2 f(x) = x+1 1 f(x)

More information

Differential and Integral Calculus

Differential and Integral Calculus School of science an engineering El Akhawayn University Monay, March 31 st, 2008 Outline 1 Definition of hyperbolic functions: The hyperbolic cosine an the hyperbolic sine of the real number x are enote

More information

Implicit Differentiation

Implicit Differentiation Implicit Differentiation Implicit Differentiation Using the Chain Rule In the previous section we focuse on the erivatives of composites an saw that THEOREM 20 (Chain Rule) Suppose that u = g(x) is ifferentiable

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

7.1. Calculus of inverse functions. Text Section 7.1 Exercise:

7.1. Calculus of inverse functions. Text Section 7.1 Exercise: Contents 7. Inverse functions 1 7.1. Calculus of inverse functions 2 7.2. Derivatives of exponential function 4 7.3. Logarithmic function 6 7.4. Derivatives of logarithmic functions 7 7.5. Exponential

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

Lectures - Week 10 Introduction to Ordinary Differential Equations (ODES) First Order Linear ODEs

Lectures - Week 10 Introduction to Ordinary Differential Equations (ODES) First Order Linear ODEs Lectures - Week 10 Introuction to Orinary Differential Equations (ODES) First Orer Linear ODEs When stuying ODEs we are consiering functions of one inepenent variable, e.g., f(x), where x is the inepenent

More information

( ) = 1 t + t. ( ) = 1 cos x + x ( sin x). Evaluate y. MTH 111 Test 1 Spring Name Calculus I

( ) = 1 t + t. ( ) = 1 cos x + x ( sin x). Evaluate y. MTH 111 Test 1 Spring Name Calculus I MTH Test Spring 209 Name Calculus I Justify all answers by showing your work or by proviing a coherent eplanation. Please circle your answers.. 4 z z + 6 z 3 ez 2 = 4 z + 2 2 z2 2ez Rewrite as 4 z + 6

More information

Math 1B, lecture 8: Integration by parts

Math 1B, lecture 8: Integration by parts Math B, lecture 8: Integration by parts Nathan Pflueger 23 September 2 Introuction Integration by parts, similarly to integration by substitution, reverses a well-known technique of ifferentiation an explores

More information

9. The x axis is a horizontal line so a 1 1 function can touch the x axis in at most one place.

9. The x axis is a horizontal line so a 1 1 function can touch the x axis in at most one place. O Answers: Chapter 7 Contemporary Calculus PROBLEM ANSWERS Chapter Seven Section 7.0. f is one to one ( ), y is, g is not, h is not.. f is not, y is, g is, h is not. 5. I think SS numbers are supposeo

More information

INVERSE FUNCTIONS DERIVATIVES. terms on one side and everything else on the other. (3) Factor out dy. for the following functions: 1.

INVERSE FUNCTIONS DERIVATIVES. terms on one side and everything else on the other. (3) Factor out dy. for the following functions: 1. INVERSE FUNCTIONS DERIVATIVES Recall the steps for computing y implicitly: (1) Take of both sies, treating y like a function. (2) Expan, a, subtract to get the y terms on one sie an everything else on

More information

Chapter 1. Functions, Graphs, and Limits

Chapter 1. Functions, Graphs, and Limits Review for Final Exam Lecturer: Sangwook Kim Office : Science & Tech I, 226D math.gmu.eu/ skim22 Chapter 1. Functions, Graphs, an Limits A function is a rule that assigns to each objects in a set A exactly

More information

Notes on Lie Groups, Lie algebras, and the Exponentiation Map Mitchell Faulk

Notes on Lie Groups, Lie algebras, and the Exponentiation Map Mitchell Faulk Notes on Lie Groups, Lie algebras, an the Exponentiation Map Mitchell Faulk 1. Preliminaries. In these notes, we concern ourselves with special objects calle matrix Lie groups an their corresponing Lie

More information

First Order Linear Differential Equations

First Order Linear Differential Equations LECTURE 6 First Orer Linear Differential Equations A linear first orer orinary ifferential equation is a ifferential equation of the form ( a(xy + b(xy = c(x. Here y represents the unknown function, y

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

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

Chapter 3 Differentiation Rules (continued)

Chapter 3 Differentiation Rules (continued) Chapter 3 Differentiation Rules (continued) Sec 3.5: Implicit Differentiation (continued) Implicit Differentiation What if you want to find the slope of the tangent line to a curve that is not the graph

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