Transcendental Functions

Size: px
Start display at page:

Download "Transcendental Functions"

Transcription

1 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 f an g are inverses if for all in the omain of g, f(g()) =, an for all in the omain of f, g(f()) = EXAMPLE 9 f = an g = / are inverses, since ( ) / = an ( / ) = EXAMPLE 9 f = an g = / are not inverses While ( / ) =, it is not true that ( ) / = For eample, with =, (( ) ) / = / = The problem in the previous eample 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() = f(y) implies that = 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 = fails this test: horizontal lines y = k for k > intersect the graph of f twice (The horizontal line y = oes intersect it only once, an lines y = k, k <, 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() = is bijective The function f() = 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() = / is injective but not surjective since there is no value of such that f() = The function f() = ( )(+) is surjective but not injective; f() = for three ifferent values of On the other han lim f() = an lim f() = Since f is 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 eplicitly looking for points where injectivity may fail THEOREM 98 If f is ifferentiable an f () > then f is injective Proof Suppose that f(a) = f(b) for some a < b By Rolle s theorem (65) there eists c (a,b) such that f (c) = (f(b) f(a))/(b a) =, which contraicts the hypothesis that f () > Hence, if f(a) = f(b) then a = b In the same way, we can see that if f () < then f is injective EXAMPLE 99 Let f() = 5 + Since f () = 5 + >, f is injective EXAMPLE 9 Let f() = + sin Then f () = + cos for every Hence, f is injective 77 9 Inverse functions 79 EXAMPLE 9 Let f() = This f is injective although the above theorem oes not apply, since f () = 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 maimum or minimum then f is not injective Proof Supposethatf hasalocalmaimumat = c Theninsomeinterval(c h,c+h), f() 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 9 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 eplicit 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() Interchange an y Solve for y Replace y with f () 8 Chapter 9 Transcenental Functions Step is the har part; inee it is sometimes impossible to perform using algebraic operations EXAMPLE 9 Fin the inverse of f() = ( 6)/( + 7) First we write = (y 6)/(y+7) Now we solve for y: y 6 = y +7 (y +7) = y 6 y +7 = y = y y 7+6 = y( ) 7+6 = y Finally, we say f () = (7+6)/( ) EXAMPLE 95 Fin the inverse function of f() = +8 where What are the omain an range of the inverse function? First, y = + 8 becomes = y y + 8 Now we complete the square: = (y ) +anrearrangetoget = (y ) Sinceintheoriginalfunction, an we have switche an y, we know that y Thus taking the square root, we know y =, not y = Finally we write y = f () = + The omain of f is an the range is y While simple in principle, this metho is sometimes ifficult or impossible to apply For eample, consier f() = + Since f () = + > for every, f is injective (In fact it is bijective) To fin the inverse as above, we woul nee to solve = y + y for y; while possible, this is consierably more ifficult than solving the quaratic of the previous eample Some simple looking equations are impossible to solve using algebraic manipulation For eample, consier f() = a quintic polynomial (ie, a fifth egree polynomial) Since f () = >, 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 eists fifth egree equations cannot in general be solve (There are eceptions; 5 = can be solve, for eample) Fortunately, it is often more important to know that a function has an inverse then to be able to come up with an eplicit formula Once an inverse is known to eist, numerical

2 9 Inverse functions 8 techniques can often be employe to obtain approimations 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 maima or minima Hence, f is either strictly increasing or strictly ecreasing Without loss of generality, f is strictly increasing Fi b f(a) Then there eists a unique a A such that f(a) = b Let ǫ > 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 > 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 () for every A then f is ifferentiable on f(a) an (f ) () = /f (f ()) Proof Fi b f(a) Then there eists a unique a A such that f(a) = b For y b, let = f (y) Since f is ifferentiable, it follows that f an hence f are continuous Then f (b) f (y) a lim = lim y b b y a f(a) f() = f (a) In Leibniz notation, this can be written as y =, which is easy to remember y/ since it looks like orinary fractional algebra EXAMPLE 98 Let f() = Since f() = 7, f ( 7) = Since f () = 9 +5, f () = 5 an so (f ) ( 7) = /f () = /5 Eercises 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() = 8 Chapter 9 Transcenental Functions b f:[, ) R, f() = c f:r [, ), f() = f:(,] [, ), f() = 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() = b f:[, ) R, f() = c f:r [,], f() = sin f:[,π] [,], f() = cos Define f() = { = Show that f is not injective on R Show that f () > for Why oes this not contraict theorem 98? Define f() = { < = + < 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() = ( 6)/(7 +5) What are the omain an range of f? 7 Fin the inverse function of f() = /( 6) What are the omain an range of f? 8 Fin the inverse function of f() = a+b when a What are the omain an range of f? 9 Fin the inverse function of f() = /(c+) when c What are the omain an range of f? Suppose that a bc Fin the inverse function of f() = (a+b)/(c+) 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 is a technical conition which ensures that both the omain of f will be all real numbers with perhaps one eception an that that the range of f will be all real numbers with perhaps one eception Fin the inverse function of f() = for What are the omain an range of f? Fin the inverse function of f() = 5 What are the omain an range of f? Fin the inverse function of f() = 5 What are the omain an range of f? Fin the inverse function of f() = 7 What are the omain an range of f? 5 Fin the inverse function of f() = +8 for What are the omain an range of f? 9 The natural logarithm 8 6 Fin the inverse function of f() = 9+ for What are the omain an range of f? 7 Fin the inverse function of f() = + b + c for b/ What are the omain an range of f? 8 Fin the inverse function of f() = + b + c for b/ What are the omain an range of f? 9 Fin the inverse function of f() = (+ )/( ) What are the omain an range of f? Show that f() = 7 + has an inverse function on R Show that f() = 9/9 + 5 has an inverse function on R Let A R an let f : A R be injective Then f eists 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 Let f() = + Sketch the graph of f an f on the same iagram Let f() = 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 eercise to illustrate your claim 6 Let f() = +9+ Compute (f ) () 7 Let f() = + Show that f is increasing at = Thus, there is an interval I containing such that f is injective on I Compute (f ) () 8 Let f() = a+b with a Compute (f ) (b) Why o we nee the conition a? 9 Let f() = a + b + c with b Compute (f ) (c) Why o we nee the conition b? Let f() = an n +an n + +a+a = n k= akk with a Compute (f ) (a) Why o we nee the conition a? Suppose that f is injective on some interval containing If f() = an f () = 6 what is (f ) ()? º¾ Ì Ò ØÙÖ Ð ÐÓ Ö Ø Ñ The function f(t) = /t is continuous on (, ) By the funamental theorem of calculus, f has an antierivative on on the interval with en points an whenever > This observation allows us to make the following efinition 8 Chapter 9 Transcenental Functions DEFINITION 9 The natural logarithm ln() is an antierivative of /, given by ln = t t Figure 9 gives a geometric interpretation of ln Note that when <, ln is negative area is ln Figure 9 ln() is an area Some properties of this function ln are now easy to see THEOREM 9 Suppose that,y > an q Q a ln = b ln() = c ln(y) = ln+lny ln(/y) = ln lny e ln q = qln area is ln 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: y ln(y) = t t = t t+ y t = ln()+ t y t t

3 In the remaining integral, use the substitution u = t/ to get y y t t = y u u = u = ln(y) u Parts () an (e) are left as eercises 9 The natural logarithm 85 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 ln THEOREM 9 ln is increasing an its graph is concave own everywhere Proof Since ln = / ispositivefor >, the Mean Value Theorem (65)implies that ln is increasing The secon erivative of ln is then / which is negative, so the graph is concave own Notice that this theorem implies that ln is injective THEOREM 9 lim ln = Proof Note that ln > an for n N, ln n = nln Since ln is increasing, when > n, ln() > nln Since lim nln =, also lim ln = n COROLLARY 95 lim + ln = Proof If < <, then (/) > an lim +(/) = Let y = /; then lim + ln = lim y ln(/y) = lim y ln() ln(y) = lim y ln(y) = Thus, the omain of ln is (, ) an the range is R; ln() 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 approimately 78 EXAMPLE 96 Let f() = ln( 5 +7+) Compute f () Using the chain rule: f () = (5+7) EXAMPLE 97 Let f() = ln( ) for < Compute f () f () = ( ) = So the erivatives of ln() an ln( ) are the same Thus, you will often see ln +C as the general antierivative of / EXAMPLE 98 Compute tan Use u = cos: sin tan = cos = u = ln u +C = ln cos +C u Using one of the properties of the logarithm, we coul go further: ln cos +C = ln (cos) +C = ln sec +C = EXAMPLE 99 Let f() = 8 (+) 6/7 ( + +) 6 Compute f () Computing the erivative irectly is straightforwar but irritating We therefore take an inirect approach Note that f() > for every Let g() = lnf() Then g () = f ()/f() an so f () = f()g () Now ( 8 (+) 6/7 ) g() = ln ( + +) 6 e 5 6 Figure 9 The graph of ln() Hence, Therefore, = 8ln+ 6 7 ln(+) 6ln( + +) g () = (+) 6(9 +8) + + f () = 8 (+) 6/7 ( ) 8 ( + +) (+) 6(9 +8) + + Eercises 9 Prove parts () an (e) of theorem 9 9 The eponential function 87 In subsequent eercises, it is unerstoo that the arguments in any logarithms are positive unless otherwise state Epan ln((+5) 7 ( )) Epan ln 5+(7/) Sketch the graph of y = ln( 7) + 5 Sketch the graph of y = ln for 6 Write ln+7ln( ) ln( ++) as a single logarithm 7 Differentiate f() = ln 8 Differentiate f() = ln(ln()) 9 Sketch the graph of ln( ) Differentiate f() = +ln( ) +ln() Differentiate f() = ln sec + tan Fin the secon erivative of f() = ln( ) Fin the equation of the tangent line to f() = ln at = a Differentiate f() = 8 ( ) / 7 6 ( 6) 8 5 If f() = ln( +) compute f (e / ) e 6 Compute ln 7 Compute the erivative with respect to of lntt (Assume that > ) π/6 8 Compute tan() ln 9 Compute sin() Compute +cos Fin the volume of the soli obtaine by rotating the region uner y = / from to e about the -ais º Ì ÜÔÓÒ ÒØ Ð ÙÒØ ÓÒ 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 is injective, an therefore it has an inverse 88 Chapter 9 Transcenental Functions DEFINITION 9 The inverse function of ln() is y = ep(), calle the natural eponential function The omain of ep() is all real numbers an the range is (, ) Note that because ep() is the inverse of ln(), ep(ln) = for >, an ln(ep) = for all Also, our knowlege of ln() tells us immeiately that ep() = e, ep() =, lim ep =, an lim ep = THEOREM 9 ep() = ep() Proof By the Inverse Function Theorem (97), ep() has a erivative everywhere The theorem also tells us what the erivative is Alternately, we may compute the erivative using implicit ifferentiation: Let y = ep, so lny = Differentiating with respect to we get y y = Hence, y = y = ep COROLLARY 9 Since ep >, ep is an increasing function whose graph is concave up The graph of the natural eponential function is inicate in figure 9 Compare this to the graph of ln, figure e Figure 9 The graph of ep() COROLLARY 9 The general antierivative of ep is ep+c

4 9 The eponential function 89 Of course, the wor eponential alreay has a mathematical meaning, an this meaning etens in a natural way to the eponential function ep() LEMMA 95 For any rational number q, ep(q) = e q Proof Let y = e q Then lny = ln(e q ) = qlne = q, an so y = ep(q) In view of this lemma, we usually write ep() as e for any real number Conveniently, it turns out that the usual laws of eponents apply to e THEOREM 96 For every,y R an q Q: (a) e +y = e e y (b) e y = e /e y (c) (e ) q = e q Proof Parts(b)an(c)areleftaseercises Forpart(a),ln(e e y ) = lne +lne y = +y, so e e y = e +y EXAMPLE 97 Solve e +5 = for If e +5 = then +5 = ln an so = ln 5 EXAMPLE 98 Fin the erivative of f() = e sin() By the prouct an chain rules, f () = e sin()+e cos() EXAMPLE 99 Evaluate e Let u =, so u = Then Eercises 9 Prove parts (b) an (c) of theorem 96 Solve ln(+ ) = 6 for Solve e = 8 for Solve ln(ln()) = for 5 Sketch the graph of f() = e Sketch the graph of f() = e +6 e = e u u = eu = e +C 7 Fin the equation of the tangent line to f() = e at = a 8 Compute the erivative of f() = e Chapter 9 Transcenental Functions 9 Compute the erivative of f() = e (++ + n + +! n! Prove that e > for Then prove that e > + for Using the previous two eercises, prove (using mathematical inuction) that e > + + n + n + +! n! = k for k! k= Use the preceing eercise to show that e > 7 Differentiate ek +e k with respect to e +e Compute lim e e 5 Integrate 5 e 5 with respect to π/ 6 Compute cos()e sin e / 7 Compute 8 Let F() = e e t t Compute F () 9 If f() = e k what is f (9) ()? º ÇØ Ö Notice that if q Q an a > then a q = e ln(aq) = e qlna This equation motivates the following efinition DEFINITION 9 For a > an R, we efine a = e lna The function f() = a is the eponential function with base a Separately, we efine = for > Notice also that for R an a >, lna = ln(e lna ) = lna Hence, the power rule for the natural logarithm works even when the power is irrational We now show that the familiar rules for eponents are vali THEOREM 9 For,y R an a,b > : Proof a a +y = a a y b a y = a /a y c (a ) y = a y (ab) = a b ) (a) We compute: a +y = e (+y)lna = e lna+ylna = e lna e ylna = a a y The proof of (b) is similar an left as an eercise (c) We compute: (a ) y = e yln(a) = e ylna = a y () We compute: (ab) = e ln(ab) = e lna+lnb = e lna e lnb = a b THEOREM 9 If f() = a (with a > ) then f () = a lna Proof f () = (elna ) = e lna lna = a lna COROLLARY 9 For a > an a, a = a lna +C We are now in a position to prove the general power rule 9 Other bases 9 THEOREM 95 Power Rule If f() = n, >, an n is any real number, then f () = n n Proof f () = n = enln = e nlnn = nn = nn The restriction that > is necessary since we have not efine eponential epressions with negative bases an arbitrary real powers We now turn to logarithms base a Note that if a > an a then a lna for every Hence, the function f() = a is injective DEFINITION 96 If a > an a, the inverse of a is calle the logarithmic function base a In symbols, we write this function as log a We eclue a = because = is not injective on any omain containing more than one point Remark If a = we usually write log instea of log, an of course log e = ln In more avance tets, log refers to the natural logarithm THEOREM 97 The following hol for a,,y >, a, an q R: a log a (y) = log a +log a y b log a y = log a log a y c log a q = qlog a Proof (a) Let u = log a an v = log a y Then a u = an a v = y, an y = a u a v = a u+v, so log a (y) = u+v = log a +log a y 9 Chapter 9 Transcenental Functions The other parts are left as eercises When computing ecimal approimations to logs of arbitrary bases with a calculator or a computer algebra system the following result comes in hany LEMMA 98 If a,b >, a,b, an >, log a = log b log b a Proof Let y = log a, so a y = Then log b = log b (a y ) = ylog b a = log a log b a Typically this is useful when b = e an b =, since calculators can typically compute logarithms to those bases THEOREM 99 log a = lna Proof By the preceing lemma, f() = ln/lna, an the erivative is then easy Finally, we epress e as a limit When = we get a limit epression for e which is sometimes taken as the efinition of e ( THEOREM 9 If, e = lim + n n n) Proof If = both epressions are If > we begin by rewriting the right sie as we have before: Now because e is continuous, ( + ) n ( ) n = e ln(+/n) = e nln(+/n) n lim n enln(+/n) = e limn nln(+/n) So really we nee to compute lim nln(+/n), for which we use L Hôpitals rule: n ln(+/n) +/n n lim nln(+/n) = lim = lim n n /n n /n = lim n +/n = This same simple fact, a = e lna, is useful in many similar situations EXAMPLE 9 Let f() =, > Compute f () an lim +f()

5 Start with f() = = e ln Then For the limit, we again notice that f () = e ln ( +ln ) = (+ln) lim = lim e ln = e lim + ln + + Then we compute the limit by L Hôpital s rule again: Thus lim + = e = ln lim +ln = lim + / = lim / + / = lim +( ) = 9 Other bases 9 π/ EXAMPLE 9 Compute cos sin π/6 Let u = cos, so u = sin Changing the limits, when = π/6, u = /, an when = π/, u = / Then Eercises 9 π/ / cos sin = u u = u / π/6 / ln = / + / / ln Prove part (b) of theorem 9 Sketch the graph of y = a in the three cases a >, a =, an < a < What happens to the graph as a +? What happens to the graph as a? Sketch the graph of y = log a in the two cases a > an < a < What happens to the graph as a +? What happens to the graph as a? (Use the previous eercise together with eercise in section 9) Prove parts (b) an (c) of theorem 97 5 Sketch the graph of y = Sketch the graph of y = (/) 7 Sketch the graph of y = log (+6) 8 Compute the secon erivative of f() = 9 Compute f (π/) when f() = 5 sin +log 7 Compute the erivative of f() = +sin() π e 9 Chapter 9 Transcenental Functions Compute Compute sin( ) Fin the area of the region given by {(,y), y } Fin the average of the function f() = 5 on the interval [,9] 5 Fin the volume of the soli obtaine by rotating the region {(,y),(log )/ y } about the line y = 6 Show that log a = log /a for any a >,a Interpret this result geometrically; that is, sketch the graph of y = log a an y = log /a on the same iagram an point out how the graphs are relate to each other º ÁÒÚ Ö ÌÖ ÓÒÓÑ ØÖ ÙÒØ ÓÒ The trigonometric functions frequently arise in problems, an often it is necessary to invert the functions, for eample, 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 sin = 5, you can t reverse this to iscover, that is, you can t solve for, as there are infinitely many angles with sine 5 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 eactly once If we iscar all other angles, the resulting function oes have a proper inverse The sine takes on all values between an eactly 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() π π/ π/ π π/ π/ π/ π π/ π π/ π/ Figure 95 The sine, the truncate sine, the inverse sine 95 Inverse Trigonometric Functions Chapter 9 Transcenental Functions Recall that a function an its inverse uno each other in either orer, for eample, ( ) = an = 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()) =, that is, the sine unoes the arcsine It is not true that the arcsine unoes the sine, for eample, 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() Then π π/ π/ π Figure 95 The truncate cosine, the inverse cosine sin(y) = sin(arcsin()) = π/ Now taking the erivative of both sies, we get y cosy = y = cosy π/ π/ π/ π/ π/ As we epect when using implicit ifferentiation, y appears on the right han sie here We woul certainly prefer to have y written in terms of, an as in the case of ln we can actually o that here Since sin y + cos y =, cos y = sin y = So cosy = ±, but which is it plus or minus? It coul in general be either, but this isn t in general : since y = arcsin() we know that π/ y π/, an the cosine of an angle in this interval is always positive Thus cosy = an arcsin() = 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 arccos() = Note that the truncate cosine uses a ifferent interval than the truncate sine, so that if y = arccos() we know that y π The computation of the erivative of the arccosine is left as an eercise Figure 95 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 95; the erivative of the arctangent is left as an eercise Eercises 95 Show that the erivative of arccos is Show that the erivative of arctan is + The inverse of cot is usually efine so that the range of arccot is (,π) Sketch the graph of y = arccot In the process you will make it clear what the omain of arccot is Fin the erivative of the arccotangent Show that arccot+arctan = π/ 5 Fin the erivative of arcsin( ) 6 Fin the erivative of arctan(e ) 7 Fin the erivative of arccos(sin ) 8 Fin the erivative of ln((arcsin) ) 9 Fin the erivative of arccose

6 Fin the erivative of arcsin+arccos Fin the erivative of log 5 (arctan( )) arcsec Compute ln(arcsin) Compute arcsin Compute 5 Compute ( + +e + ) +9 6 Fin the equation of the tangent line to f() = arccsc at = π/6 7 Let º { A = (,y) }, y ( ) / 96 Hyperbolic Functions 97 Sketch the region A Let S be the soli obtaine from rotating A about the -ais Compute the volume of S ÀÝÔ Ö ÓÐ ÙÒØ ÓÒ 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 cosh = e +e, sinh = e e Notice that cosh is even (that is, cosh( ) = cosh()) while sinh is o (sinh( ) = sinh()), an cosh +sinh = e Also, for all, cosh >, while sinh = if an only if e e =, which is true precisely when = LEMMA 96 The range of cosh is [, ) 98 Chapter 9 Transcenental Functions Proof Let y = cosh We solve for : y = e +e y = e +e ye = e + = e ye + e = y ± y e = y ± y From the last equation, we see y, an since y, it follows that y Now suppose y, so y± y > Then = ln(y± y ) is a real number, an y = cosh, so y is in the range of cosh() DEFINITION 96 The other hyperbolic functions are tanh = sinh cosh coth = cosh sinh sech = cosh csch = sinh The omain of coth an csch is while the omain of the other hyperbolic functions is all real numbers Graphs are shown in figure 96 Figure 96 The hyperbolic functions: cosh, sinh, tanh, sech, csch, coth 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 in R, cosh sinh = Proof The proof is a straightforwar computation: cosh sinh = (e +e ) (e e ) This immeiately gives two aitional ientities: = e ++e e + e tanh = sech an coth = csch = = The ientity of the theorem also helps to provie a geometric motivation Recall that the graph of y = is a hyperbola with asymptotes = ±y whose -intercepts are ± If (,y) is a point on the right half of the hyperbola, an if we let = cosht, then y = ± = ± 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 96 (cosht, sinht) (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 cosh = sinh an sinh = cosh Chapter 9 Transcenental Functions Proof cosh = e +e = e e = sinh, an sinh = e e = e +e = cosh Of course, this immeiately gives us two anti-erivatives as well Since cosh >, sinh is increasing an hence injective, so sinh has an inverse, arcsinh Also, sinh > when >, so cosh is injective on [, ) an has a (partial) inverse, arccosh The other hyperbolic functions have inverses as well, though arcsech is only a partial inverse We may compute the erivatives of these functions as we have other inverse functions THEOREM 966 arcsinh = + Proof Let y = arcsinh, so sinhy = Then sinhy = cosh(y) y =, an so y = coshy = +sinh y = + The other erivatives are left to the eercises Eercises 96 Show that the range of sinh is all real numbers (Hint: show that if y = sinh then = ln(y + y +)) Compute the following limits: a lim cosh b lim sinh c lim tanh lim (cosh sinh) Show that the range of tanh is (,) What are the ranges of coth, sech, an csch? (Use the fact that they are reciprocal functions) Prove that for every,y R, sinh( + y) = sinhcoshy + coshsinhy Obtain a similar ientity for sinh( y) 5 Prove that for every,y R, cosh( + y) = coshcoshy + sinhsinhy Obtain a similar ientity for cosh( y) 6 Use eercises an 5 to show that sinh() = sinhcosh an cosh() = cosh +sinh for every Conclue also that (cosh() )/ = sinh 7 Show that (tanh) = sech Compute the erivatives of the remaining hyperbolic functions as well 8 What are the omains of the si inverse hyperbolic functions?

7 96 Hyperbolic Functions 9 Sketch the graphs of all si inverse hyperbolic functions The following four eercises epan on the geometric interpretation of the hyperbolic functions Refer to figure 96 Use eercises an 5 to show that sinh() = sinhcosh an cosh() = cosh +sinh for every Conclue that (cosh() )/ = sinh Compute (Hint: make the substitution u = arccosh an then use the preceing eercise) Fi t > Sketch the region R in the right half plane boune by the curves y = tanht, y = tanht, an y = Note well: t is fie, the plane is the -y plane Prove that the area of R is t

Transcendental Functions

Transcendental Functions 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

More information

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

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

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

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

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

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

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

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 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

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

Module FP2. Further Pure 2. Cambridge University Press Further Pure 2 and 3 Hugh Neill and Douglas Quadling Excerpt More information

Module FP2. Further Pure 2. Cambridge University Press Further Pure 2 and 3 Hugh Neill and Douglas Quadling Excerpt More information 5548993 - Further Pure an 3 Moule FP Further Pure 5548993 - Further Pure an 3 Differentiating inverse trigonometric functions Throughout the course you have graually been increasing the number of functions

More information

(a 1 m. a n m = < a 1/N n

(a 1 m. a n m = < a 1/N n Notes on a an log a Mat 9 Fall 2004 Here is an approac to te eponential an logaritmic functions wic avois any use of integral calculus We use witout proof te eistence of certain limits an assume tat certain

More information

THEOREM: THE CONSTANT RULE

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

More information

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

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

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

3.2 Differentiability

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

More information

A. Incorrect! The letter t does not appear in the expression of the given integral

A. Incorrect! The letter t does not appear in the expression of the given integral AP Physics C - Problem Drill 1: The Funamental Theorem of Calculus Question No. 1 of 1 Instruction: (1) Rea the problem statement an answer choices carefully () Work the problems on paper as neee (3) Question

More information

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

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

More information

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

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

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

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

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

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

Integration Review. May 11, 2013

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

More information

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

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

More information

Logarithmic, Exponential and Other Transcendental Functions

Logarithmic, Exponential and Other Transcendental Functions Logarithmic, Eponential an Other Transcenental Fnctions 5: The Natral Logarithmic Fnction: Differentiation The Definition First, yo mst know the real efinition of the natral logarithm: ln= t (where > 0)

More information

Section The Chain Rule and Implicit Differentiation with Application on Derivative of Logarithm Functions

Section The Chain Rule and Implicit Differentiation with Application on Derivative of Logarithm Functions Section 3.4-3.6 The Chain Rule an Implicit Differentiation with Application on Derivative of Logarithm Functions Ruipeng Shen September 3r, 5th Ruipeng Shen MATH 1ZA3 September 3r, 5th 1 / 3 The Chain

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

Inverse Functions. Review from Last Time: The Derivative of y = ln x. [ln. Last time we saw that

Inverse Functions. Review from Last Time: The Derivative of y = ln x. [ln. Last time we saw that Inverse Functions Review from Last Time: The Derivative of y = ln Last time we saw that THEOREM 22.0.. The natural log function is ifferentiable an More generally, the chain rule version is ln ) =. ln

More information

Chapter 1 Overview: Review of Derivatives

Chapter 1 Overview: Review of Derivatives Chapter Overview: Review of Derivatives The purpose of this chapter is to review the how of ifferentiation. We will review all the erivative rules learne last year in PreCalculus. In the net several chapters,

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

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

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

More information

Table of Common Derivatives By David Abraham

Table of Common Derivatives By David Abraham Prouct an Quotient Rules: Table of Common Derivatives By Davi Abraham [ f ( g( ] = [ f ( ] g( + f ( [ g( ] f ( = g( [ f ( ] g( g( f ( [ g( ] Trigonometric Functions: sin( = cos( cos( = sin( tan( = sec

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

18.01 Single Variable Calculus Fall 2006

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

More information

TOTAL NAME DATE PERIOD AP CALCULUS AB UNIT 4 ADVANCED DIFFERENTIATION TECHNIQUES DATE TOPIC ASSIGNMENT /6 10/8 10/9 10/10 X X X X 10/11 10/12

TOTAL NAME DATE PERIOD AP CALCULUS AB UNIT 4 ADVANCED DIFFERENTIATION TECHNIQUES DATE TOPIC ASSIGNMENT /6 10/8 10/9 10/10 X X X X 10/11 10/12 NAME DATE PERIOD AP CALCULUS AB UNIT ADVANCED DIFFERENTIATION TECHNIQUES DATE TOPIC ASSIGNMENT 0 0 0/6 0/8 0/9 0/0 X X X X 0/ 0/ 0/5 0/6 QUIZ X X X 0/7 0/8 0/9 0/ 0/ 0/ 0/5 UNIT EXAM X X X TOTAL AP Calculus

More information

Section 7.1: Integration by Parts

Section 7.1: Integration by Parts Section 7.1: Integration by Parts 1. Introuction to Integration Techniques Unlike ifferentiation where there are a large number of rules which allow you (in principle) to ifferentiate any function, the

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

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

1 Functions and Inverses

1 Functions and Inverses October, 08 MAT86 Week Justin Ko Functions and Inverses Definition. A function f : D R is a rule that assigns each element in a set D to eactly one element f() in R. The set D is called the domain of f.

More information

MATH2231-Differentiation (2)

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

More information

CHAPTER SEVEN. Solutions for Section x x t t4 4. ) + 4x = 7. 6( x4 3x4

CHAPTER SEVEN. Solutions for Section x x t t4 4. ) + 4x = 7. 6( x4 3x4 CHAPTER SEVEN 7. SOLUTIONS 6 Solutions for Section 7.. 5.. 4. 5 t t + t 5 5. 5. 6. t 8 8 + t4 4. 7. 6( 4 4 ) + 4 = 4 + 4. 5q 8.. 9. We break the antierivative into two terms. Since y is an antierivative

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

Section 2.1 The Derivative and the Tangent Line Problem

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

More information

f(x + h) f(x) f (x) = lim

f(x + h) f(x) f (x) = lim Introuction 4.3 Some Very Basic Differentiation Formulas If a ifferentiable function f is quite simple, ten it is possible to fin f by using te efinition of erivative irectly: f () 0 f( + ) f() However,

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

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

Math 180, Exam 2, Fall 2012 Problem 1 Solution. (a) The derivative is computed using the Chain Rule twice. 1 2 x x

Math 180, Exam 2, Fall 2012 Problem 1 Solution. (a) The derivative is computed using the Chain Rule twice. 1 2 x x . Fin erivatives of the following functions: (a) f() = tan ( 2 + ) ( ) 2 (b) f() = ln 2 + (c) f() = sin() Solution: Math 80, Eam 2, Fall 202 Problem Solution (a) The erivative is compute using the Chain

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

Calculus in the AP Physics C Course The Derivative

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

More information

90 Chapter 5 Logarithmic, Exponential, and Other Transcendental Functions. Name Class. (a) (b) ln x (c) (a) (b) (c) 1 x. y e (a) 0 (b) y.

90 Chapter 5 Logarithmic, Exponential, and Other Transcendental Functions. Name Class. (a) (b) ln x (c) (a) (b) (c) 1 x. y e (a) 0 (b) y. 90 Chapter 5 Logarithmic, Eponential, and Other Transcendental Functions Test Form A Chapter 5 Name Class Date Section. Find the derivative: f ln. 6. Differentiate: y. ln y y y y. Find dy d if ey y. y

More information

The Explicit Form of a Function

The Explicit Form of a Function Section 3 5 Implicit Differentiation The Eplicit Form of a Function The normal way we see function notation has f () on one sie of an equation an an epression in terms of on the other sie. We know the

More information

MATH 205 Practice Final Exam Name:

MATH 205 Practice Final Exam Name: MATH 205 Practice Final Eam Name:. (2 points) Consier the function g() = e. (a) (5 points) Ientify the zeroes, vertical asymptotes, an long-term behavior on both sies of this function. Clearly label which

More information

Tutorial 1 Differentiation

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

More information

CHAPTER 3 DERIVATIVES (continued)

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

More information

Derivative of a Constant Multiple of a Function Theorem: If f is a differentiable function and if c is a constant, then

Derivative of a Constant Multiple of a Function Theorem: If f is a differentiable function and if c is a constant, then Bob Brown Math 51 Calculus 1 Chapter 3, Section Complete 1 Review of the Limit Definition of the Derivative Write the it efinition of the erivative function: f () Derivative of a Constant Multiple of a

More information

1. Find the equation of a line passing through point (5, -2) with slope ¾. (State your answer in slope-int. form)

1. Find the equation of a line passing through point (5, -2) with slope ¾. (State your answer in slope-int. form) INTRO TO CALCULUS REVIEW FINAL EXAM NAME: DATE: A. Equations of Lines (Review Chapter) y = m + b (Slope-Intercept Form) A + By = C (Stanar Form) y y = m( ) (Point-Slope Form). Fin the equation of a line

More information

1 Applications of the Chain Rule

1 Applications of the Chain Rule November 7, 08 MAT86 Week 6 Justin Ko Applications of the Chain Rule We go over several eamples of applications of the chain rule to compute erivatives of more complicate functions. Chain Rule: If z =

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

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

We want to look at some special functions that can arise, especially in trying to solve certain types of rather simple equations.

We want to look at some special functions that can arise, especially in trying to solve certain types of rather simple equations. Chapter 9 Special Functions We want to look at some special functions that can arise, especially in trying to solve certain types of rather simple equations. 9.1 Hyperbolic Trigonometric Functions The

More information

4. Functions of one variable

4. Functions of one variable 4. Functions of one variable These lecture notes present my interpretation of Ruth Lawrence s lecture notes (in Hebrew) 1 In this chapter we are going to meet one of the most important concepts in mathematics:

More information

MTH 133 Solutions to Exam 1 February 21, Without fully opening the exam, check that you have pages 1 through 11.

MTH 133 Solutions to Exam 1 February 21, Without fully opening the exam, check that you have pages 1 through 11. MTH Solutions to Eam February, 8 Name: Section: Recitation Instructor: INSTRUCTIONS Fill in your name, etc. on this first page. Without fully opening the eam, check that you have pages through. Show all

More information

CHAPTER 4. INTEGRATION 68. Previously, we chose an antiderivative which is correct for the given integrand 1/x 2. However, 6= 1 dx x x 2 if x =0.

CHAPTER 4. INTEGRATION 68. Previously, we chose an antiderivative which is correct for the given integrand 1/x 2. However, 6= 1 dx x x 2 if x =0. CHAPTER 4. INTEGRATION 68 Previously, we chose an antierivative which is correct for the given integran /. However, recall 6 if 0. That is F 0 () f() oesn t hol for apple apple. We have to be sure the

More information

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

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

More information

Inverse Relations. 5 are inverses because their input and output are switched. For instance: f x x. x 5. f 4

Inverse Relations. 5 are inverses because their input and output are switched. For instance: f x x. x 5. f 4 Inverse Functions Inverse Relations The inverse of a relation is the set of ordered pairs obtained by switching the input with the output of each ordered pair in the original relation. (The domain of the

More information

Calculus BC Section II PART A A GRAPHING CALCULATOR IS REQUIRED FOR SOME PROBLEMS OR PARTS OF PROBLEMS

Calculus BC Section II PART A A GRAPHING CALCULATOR IS REQUIRED FOR SOME PROBLEMS OR PARTS OF PROBLEMS Calculus BC Section II PART A A GRAPHING CALCULATOR IS REQUIRED FOR SOME PROBLEMS OR PARTS OF PROBLEMS. An isosceles triangle, whose base is the interval from (0, 0) to (c, 0), has its verte on the graph

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

Hyperbolic Functions

Hyperbolic Functions 88 CHAPTER 5 Logarithmic, Eponential, an Other Transcenental Functions Section 58 JOHANN HEINRICH LAMBERT (78 777) The first person to publish a comprehensive stu on hperbolic functions was Johann Heinrich

More information

Summary: Differentiation

Summary: Differentiation Techniques of Differentiation. Inverse Trigonometric functions The basic formulas (available in MF5 are: Summary: Differentiation ( sin ( cos The basic formula can be generalize as follows: Note: ( sin

More information

Calculus of Variations

Calculus of Variations Calculus of Variations Lagrangian formalism is the main tool of theoretical classical mechanics. Calculus of Variations is a part of Mathematics which Lagrangian formalism is base on. In this section,

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 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

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

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

The Explicit Form of a Function

The Explicit Form of a Function Section 3 5 Implicit Differentiation The Eplicit Form of a Function Function Notation requires that we state a function with f () on one sie of an equation an an epression in terms of on the other sie

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

MTH 133 Solutions to Exam 1 October 10, Without fully opening the exam, check that you have pages 1 through 11.

MTH 133 Solutions to Exam 1 October 10, Without fully opening the exam, check that you have pages 1 through 11. MTH 33 Solutions to Eam October 0, 08 Name: Section: Recitation Instructor: INSTRUCTIONS Fill in your name, etc. on this first page. Without fully opening the eam, check that you have pages through. Show

More information

18 EVEN MORE CALCULUS

18 EVEN MORE CALCULUS 8 EVEN MORE CALCULUS Chapter 8 Even More Calculus Objectives After stuing this chapter you shoul be able to ifferentiate an integrate basic trigonometric functions; unerstan how to calculate rates of change;

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

IB Math High Level Year 2 Calc Differentiation Practice IB Practice - Calculus - Differentiation (V2 Legacy)

IB Math High Level Year 2 Calc Differentiation Practice IB Practice - Calculus - Differentiation (V2 Legacy) IB Math High Level Year Calc Differentiation Practice IB Practice - Calculus - Differentiation (V Legac). If =, fin the two values of when = 5. Answer:.. (Total marks). Differentiate = arccos ( ) with

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

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

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

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

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

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

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

Differentiability, Computing Derivatives, Trig Review

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

More information

Differentiation 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

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

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

Summer Review Packet for Students Entering AP Calculus BC. Complex Fractions

Summer Review Packet for Students Entering AP Calculus BC. Complex Fractions Summer Review Packet for Students Entering AP Calculus BC Comple Fractions When simplifying comple fractions, multiply by a fraction equal to 1 which has a numerator and denominator composed of the common

More information

MTH 133 Exam 1 February 21, Without fully opening the exam, check that you have pages 1 through 11.

MTH 133 Exam 1 February 21, Without fully opening the exam, check that you have pages 1 through 11. Name: Section: Recitation Instructor: INSTRUCTIONS Fill in your name, etc. on this first page. Without fully opening the eam, check that you have pages through. Show all your work on the stanar response

More information

STUDENT S COMPANIONS IN BASIC MATH: THE FOURTH. Trigonometric Functions

STUDENT S COMPANIONS IN BASIC MATH: THE FOURTH. Trigonometric Functions STUDENT S COMPANIONS IN BASIC MATH: THE FOURTH Trigonometric Functions Let me quote a few sentences at the beginning of the preface to a book by Davi Kammler entitle A First Course in Fourier Analysis

More information

Authors Gregory Hartman, Ph.D. Brian Heinold, Ph.D. Troy Siemers, Ph.D. Dimplekumar Chalishajar, Ph.D. Editor Jennifer Bowen, Ph.D.

Authors Gregory Hartman, Ph.D. Brian Heinold, Ph.D. Troy Siemers, Ph.D. Dimplekumar Chalishajar, Ph.D. Editor Jennifer Bowen, Ph.D. Section 7 Derivatives of Inverse Functions AP E XC I Version 0 Authors Gregory Hartman, PhD Department of Applie Mathema cs Virginia Military Ins tute Brian Heinol, PhD Department of Mathema cs an Computer

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