Chapter 3. Derivatives
|
|
- Kory Wood
- 5 years ago
- Views:
Transcription
1 Section. Capter Derivatives Section. Eploration Derivative of a Function (pp. ) Reaing te Graps. Te grap in Figure.b represents te rate of cange of te ept of te water in te itc wit respect to time. Since y is measure in inces an is measure in ays, te erivative y woul be measure in inces per ay. Tose are te units tat soul be use along te y-ais in Figure.b.. Te water in te itc is inc eep at te start of te first ay an rising rapily. It continues to rise, at a graually ecreasing rate, until te en of te secon ay, wen it acieves a maimum ept of about inces. During ays,, 5, an 6, te water level goes own, until it reaces a ept of inc at te en of ay 6. During te sevent ay it rises again, almost to a ept of inces.. Te weater appears to ave been wettest at te beginning of ay (wen te water level was rising fastest) an riest at te en of ay (wen te water level was eclining te fastest).. Te igest point on te grap of te erivative sows were te water is rising te fastest, wile te lowest point (most negative) on te grap of te erivative sows were te water is eclining te fastest. 5. Te y-coorinate of point C gives te maimum ept of te water level in te itc over te 7-ay perio, wile te -coorinate of C gives te time uring te 7-ay perio tat te maimum ept occurre. Te erivative of te function canges sign from positive to negative at C, inicating tat tis is wen te water level stops rising an begins falling. 6. Water continues to run own sies of ills an troug unergroun streams long after te rain as stoppe falling. Depening on ow muc ig groun is locate near te itc, water from te first ay s rain coul still be flowing into te itc several ays later. Engineers responsible for floo control of major rivers must take tis into consieration wen tey preict wen floowaters will crest, an at wat levels. Quick Review... ( + ) ( + + ) + ( + ) ( + ) y. Since y for y y <,. y y. 8 ( + )( ) ( + ) ( + ) 8 5. Te verte of te parabola is at (, ). Te slope of te line troug (, ) an anoter point (, + ) on te parabola is ( + ). Since, te slope of te line tangent to te parabola at its verte is. 6. Use te grap of f to fin tat (, ) is te coorinate of te ig point an (, ) is te coorinate of te low point. Terefore, f is increasing on (, ] an [, ). 7. f( ) ( ) ( ) + + f( ) ( + ) + Copyrigt 6 Pearson Eucation, Inc.
2 8. f + f ( ) + + ( ) (see Eercise 7). 9. No, te two one-sie its are ifferent (see Eercise 7).. No, f is iscontinuous at because f( ) oes not eist. Section. Eercises. f f + f ( ) ( ) ( ) + + ( + ) ( + ) ( + ) ( + ).. ( ) ( ) Section. f( + ) f( ) f ( ) [ ( + ) ] [ ( ) ] [ ( + )] ( ) f( + ) f( ) f () f( ) f( ) ( + ) ( + ) ( + ) ( + ). f( + ) f( ) f () [( + ) + ] [ + ] ( + ) ( + ) 5. f( ) f( ) f ( ) ( ) Copyrigt 6 Pearson Eucation, Inc.
3 Section f( ) f( ) f () ( + ) ( + ) ( )( + ) ( + ) f( ) f( ) f () + + ( + ) ( + + ) ( ) ( + + ) ( + ) ( )( + + ) ( )( + + ) + + f( ) f( ) f ( ) ( ) ( + ) ( ( ) + ) ( + ) + f f f ( + ) ( ) ( ) [( + ) ] ( ). y y( + ) y( ) 7( + ) Let f( ) ( ) f ( ) f( + ) f( ) ( + ) + + ( + ). f( + ) f( ) f( ) ( + ) ( 6+ ) 6. Te grap of y f () is ecreasing for < an increasing for >, so its erivative is negative for < an positive for >. (b). Te grap of y f () is always increasing, so its erivative is always. (a) 5. Te grap of y f () oscillates between increasing an ecreasing, so its erivative oscillates between positive an negative. () 6. Te grap of y f () is ecreasing, ten increasing, ten ecreasing, an ten increasing, so its erivative is negative, ten positive, ten negative, an ten positive. (c) Copyrigt 6 Pearson Eucation, Inc.
4 Section (a) Te tangent line as slope 5 an passes troug (, ). y 5( ) + y 5 7 (b) Te normal line as slope y ( ) y an passes troug (, ) y f ( + ) f ( ) [ ( + ) ( + ) + 5] ( + 5) ( + ) y At, ( ), so te tangent line as slope an passes troug (, y()) (, 6). y ( ) 6 y 9. Let f( ). f( + ) f( ) f () ( + ) ( + + ) (a) Te tangent line as slope an passes troug (, ). Its equation is y ( ) +, or y. (b) Te normal line as slope or y +. an passes troug (, ). Its equation is y ( ) +, Copyrigt 6 Pearson Eucation, Inc.
5 6 Section.. Let f( ). f( + ) f( ) f ( ) + ( + ) ( + + ) ( + + ) ( + ) ( + + ) ( + + ) + + (a) Te tangent line as slope an passes troug (, ). Its equation is y +. (b) Te normal line as slope an passes troug (, ). Its equation is y (a) Te amount of ayligt is increasing at te fastest rate wen te slope of te grap is largest. Tis occurs about onefourt of te way troug te year, sometime aroun April. Te rate at tis time is approimately ours ays or 6 our per ay. (b) Yes, te rate of cange is zero wen te tangent to te grap is orizontal. Tis occurs near te beginning of te year an alfway troug te year, aroun January an July. (c) Positive: January troug July Negative: July troug December. Te slope of te given grap is zero at an at, so te erivative grap inclues (, ) an (, ). Te slopes at an at are about 5 an te slope at.5 is about.5, so te erivative grap inclues (, 5), (, 5), an (.5,.5). Connecting te points smootly, we obtain te grap sown.. (a) Using Figure.a, te number of ares is largest after years an smallest after 6 years. Using Figure.b, te erivative is at tese times. (b) Using Figure.a, tere were, ares wen te population was te largest an 6, ares wen te population was te smallest. (c) Te peak for te ares occurs at years an te peak for te lyn occurs at years. Terefore, years elapse between te peaks.. Since te grap of y ln is ecreasing for < < an increasing for >, its erivative is negative for < < an positive for >. Te only one of te given functions wit tis property is y ln. Note also tat y ln is unefine for <, wic furter agrees wit te given grap. (ii) 5. Eac of te functions y sin, y, y, as te property tat y() but te grap as nonzero slope (or unefine slope) at, so none of tese functions can be its own erivative. Te function y is not its own erivative because y() but ( + ) y ( ) + ( + ). Tis leaves only e, wic can plausibly be its own erivative because bot te function value an te slope increase from very small positive values to very large values as we move from left to rigt along te grap. (iv) Copyrigt 6 Pearson Eucation, Inc.
6 Section (a) Te slope from to is ( ). Te slope from to is. Te slope from to is ( ). Te slope from to 6 is ( ). 6 Note tat te erivative is unefine at,, an. (Te function is ifferentiable at an at 6 because tese are enpoints of te omain an te one-sie erivatives eist.) Te grap of te erivative is sown. 8. y Mipoint of Interval () Slope ( y ) (b),, 7. For >, te grap of y f() must lie on a line of slope tat passes troug (, ): y. Ten y( ) ( ), so for <, te grap of y f() must lie on a line of slope tat passes troug (, ): y ( + ) + or y +. +, < Tus f(), y A grap of te erivative ata is sown. 5 [,] by [,8] (a) Te erivative represents te spee of te skier. (b) Since te istances are given in feet an te times are given in secons, te units are feet per secon. Copyrigt 6 Pearson Eucation, Inc.
7 8 Section.. (a) (c) Te grap appears to be approimately linear an passes troug (, ) an (9.5, 6.), so te slope is Te equation of te erivative is approimately D 6.65t. (c) Since te elevation y is given in feet an te istance own river is given in miles, te units of te graiant are feet per mile. () Since te elevation y is given in feet an te istance ownriver is given in miles, te units of te erivative y are feet per mile. (b) Mipoint of Interval () Slope ( y ) (e) Look for te steepest part of te curve. Tis is were te elevation is ropping most rapily, an terefore te most likely location for significant rapis. (f) Look for te lowest point on te grap. Tis is were te elevation is ropping most rapily, an terefore te most likely location for significant rapis.. We sow tat te rigt-an erivative at oes not eist. f( + ) f( ) ( + ) Does not eist We sow tat te rigt-an erivative at oes not eist. f( + ) f( ) ( + ) ( ) A grap of te erivative ata is sown. [, ] by [.5,.5] Te cosine function coul be te erivative of te sine function. Te values of cosine are positive were sine is increasing, zero were sine as orizontal tangents, an negative were sine is ecreasing. Copyrigt 6 Pearson Eucation, Inc.
8 Section. 9. f f ( + ) ( ) Tus, te rigt-an erivative at oes not eist. 5. Two parabolas are parallel if tey ave te same erivative at every value of. Tis means tat teir tangent lines are parallel at eac value of. Two suc parabolas are given by y an y +. Tey are grape below. Te parabolas are everywere equiistant, as long as te istance between tem is always measure along a vertical line. 6. True. f () + 7. False. Let f(). Te left-an erivative at is an te rigt-an erivative at is. f () oes not eist. 8. C; f f f ( + ) ( ) ( ) [ ( + )] [ ( )] A;. B;. C;. (a) f( + ) f( ) f () [ ( + ) ] [ ( ) ] 6 ( 6 ) ( 6 ) 6 f( + ) f() f() f() ( ) ( ) f( + ) f() f() f() ( ) ( ) f ( + ( ) ) f ( f ) ( + ) + ( + ) + (b) f( + ) f( ) f ( ) ( + ) Copyrigt 6 Pearson Eucation, Inc.
9 Section. (c) () f ( ) ( ) f ( ) + + (e) Yes, te one-sie its eist an are te same, so f ( ). (f) (g) f( + ) f( ) ( + ) ( + ) ( + ) f( + ) f( ) ( + ) Te rigt-an erivative oes not eist. () It oes not eist because te rigt-an erivative oes not eist.. (e) Te y-intercept of te erivative is b a.. Since te function must be continuous at, we ave ( + k) f( ), so + k, + or k. Tis gives f( ),, >. Now we confirm tat f() is ifferentiable at. f( + ) f( ) ( + ) ( ) + + ( + + ) f( + ) f() [ ( + ) ] () ] ( + ) Since te rigt-an erivative equals te leftan erivative at, te erivative eists (an is equal to ) wen k. 5. (a) P Alternate meto: (b) Using te answer to part (a), te probability is about (c) Let P represent te answer to part (b), P.8. Ten te probability tat tree people all ave ifferent birtays is P. Aing a fourt person, te probability tat all ave ifferent 6 birtays is ( P), so te 65 probability of a sare birtay is 6 ( P) () No; clearly February 9 is a muc less likely birt ate. Furtermore, census ata o not support te assumption tat te oter 65 birt ates are equally likely. However, tis simplifying assumption may still give us some insigt into tis problem even if te calculate probabilities aren t completely accurate. 6. Te erivative looks like a quaratic wit roots at an 6. All suc quaratics ave te form a ( )( 6) a ( 8+ ). Since f (), ten a, an f ( ) ( 8+ ). Using te meto of Eample, a function tat as f as its erivative is +. Aing a constant to tis Copyrigt 6 Pearson Eucation, Inc.
10 Section. trial version of f oes not cange f, so since f(), te function is f( ) + +. Section. Differentiability (pp. 7) Eploration Zooming in to See Differentiability. Zooming in on te grap of f at te point (, ) always prouces a grap eactly like te one sown below, provie tat a square winow is use. Te corner sows no sign of straigtening out.. Zooming in on te grap of g at te point (, ) begins to reveal a smoot turning point. Tis grap sows te result of tree zooms, eac by a factor of orizontally an vertically, starting wit te winow. [, ] by [. 6,. 6]. Eploration Looking at te Symmetric Difference Quotient Analytically... f( + ) f( ) (. ).. f ( ) Te ifference quotient is. away from f (). f( + ) f( ) (. ) ( 9. 99). Te symmetric ifference quotient eactly equals f (). f( + ) f( ) (. ).. f ( ) Te ifference quotient is. away from f (). f( + ) f( ) (. ) ( 9. 99)... Te symmetric ifference quotient is. away from f (). Quick Review.. Yes. On our graper, te grap became orizontal after 8 zooms. Results can vary on ifferent macines.. As we zoom in on te graps of f an g togeter, te ifferentiable function graually straigtens out to resemble its tangent line, wile te nonifferentiable function stubbornly retains its same sape.. No (Te f () term in te numerator is incorrect.). Yes. Yes 5. No (Te enominator for tis epression soul be ). 6. All reals 7. [, ) 8. [, ) 9. Te equation is equivalent to y. + (. + 5), so te slope is.. Copyrigt 6 Pearson Eucation, Inc.
11 Section.. f( +. ) f(. ). 5( +. ) 5(. ). 5 (. ). 5 Section. Eercises. Left-an erivative: f( + ) f( ) Rigt-an erivative: f( + ) f( ) Since, te function is not ifferentiable at te point P.. Left-an erivative: f( + ) f( ) Rigt-an erivative: f( + ) f( ) ( + ) Since, te function is not ifferentiable at te point P.. Left-an erivative: f( + ) f( ) + ( + )( + + ) ( + + ) ( + ) ( + + ) + + Rigt-an erivative: f( + ) f( ) [ ( + ) ] Since, te function is not ifferentiable at te point P.. Left-an erivative: f( + ) f( ) ( + ) Rigt-an erivative: f( + ) f( ) ( + ) + ( + ) + ( + ) + + Since, te function is not ifferentiable at te point P. 5. (a) All points in [, ] (b) None (c) None 6. (a) All points in [, ] (b) None (c) None 7. (a) All points in [, ] ecept (b) None (c) 8. (a) All points in [, ] ecept,, (b) (c), Copyrigt 6 Pearson Eucation, Inc.
12 9. (a) All points in [, ] ecept (b) (c) None. (a) All points in [, ] ecept, (b), (c) None. Since tan tan y( ), te problem is a iscontinuity.. 5 / f( + ) f( ) 5 / 5 / f( + ) f( ) / Te problem is a cusp.. Note tat y , +, >. f( + ) f( ) f( + ) f( ) ( + ) Te problem is a corner.. Section. ( ) f( + ) f( ) / Te problem is a vertical tangent. 5, 5. Note tat y, > f( + ) f( ) ( 5 ) ( ) 5 5 f( + ) f( ) ( ) ( ) Te problem is a corner. 6. f( + ) f( ) / f( + ) f( ) / Te problem is a cusp. Copyrigt 6 Pearson Eucation, Inc.
13 Section f( a+ ) f( a ) f a f a ( + ) ( ) f a f a ( + ) ( ) f a f a ( + ) ( ) f a f a ( + ) ( ) f( a+ ) f( a ) f a f a ( + ) ( ) (. ) (. ) ( (. ) (. ) )., yes it is ifferentiable. (. ) (. ) ( (. 999) (. 999)., yes it is ifferentiable. (. ) + (. ) (. 999) (. 99)., yes it is ifferentiable. (. ) (. ) ((. ) (. )) , yes it is ifferentiable. (. 999) (. 999) ((. ) (. )). 8., yes it is ifferentiable. (. ) (. ) ((. 999) (. 999)). 8., yes it is ifferentiable. / / (. ) (. )., no it is not ifferentiable. (CUSP). f( a+ ) f( a ) , no it is not ifferentiable. (CORNER) f a f a ( + ) ( ) f( a+ ) f( a ) 5 / 5 / (. ) (. )., no it is not ifferentiable. (CUSP) 5 / 5 / (. ) (. )., no it is not ifferentiable. (CUSP) [, ] by [.5,.5] y sin Copyrigt 6 Pearson Eucation, Inc.
14 8. 9. y Section. 5 ( + k) ( ) k k [ ( + k) 6+ 5] 5 k k k k k k k Te function as a vertical tangent at. It is ifferentiable for all reals ecept.. y abs ( ) or [, ] by [, ] y tan Note: Due to te way NDER is efine, te grap of y NDER () actually as two asymptotes for eac asymptote of y tan. Te asymptotes of y NDER () occur at + k ±., were k is an integer. A goo winow for viewing tis beavior is [.566,.576] by [, ].. Fin te zeros of te enominator. 5 ( + )( 5) or 5 Te function is a rational function, so it is ifferentiable for all in its omain: all reals ecept, 5.. Te function is ifferentiable ecept possibly were 6, tat is, at. We ceck for ifferentiability at, using k instea of te usual, in orer to avoi confusion wit te function ().. Note tat te sine function is o, so sin, < P ( ) sin ( ) sin,. Te grap of P() as a corner at. Te function is ifferentiable for all reals ecept.. Since te cosine function is even, Q ( ) cos( ) cos. Te function is ifferentiable for all reals. 5. Te function is piecewise-efine in terms of polynomials, so it is ifferentiable everywere ecept possibly at an at. Ceck : g( + ) g( ) ( + ) + ( + ) g( + ) g( ) ( + ) Te function is ifferentiable at. Ceck : Since g() ( ) an g ( ) ( + ) ( ) + 7, te function is not continuous (an ence not ifferentiable) at. Te function is ifferentiable for all reals ecept. Copyrigt 6 Pearson Eucation, Inc.
15 6 Section., < 6. Note tat C ( ), so it is, Ceck : C( + ) C( ) Te function is ifferentiable for all reals. 7. Te function f() oes not ave te intermeiate value property. Coose some a in (, ) an b in (, ). Ten f(a) an f(b), but f oes not take on any value between an. Terefore, by te Intermeiate Value Teorem for Derivatives, f cannot be te erivative of any function on [, ]. 8. (a) is not in teir omains, or, tey are bot iscontinuous at. (b) For NDER :,,, For : NDER, (c) It returns an incorrect response because even toug tese functions are not efine at, tey are efine at ±.. Te responses iffer from eac oter because is even (wic automatically makes NDER, 9. (a) an is o. ( ) ( ) f f ( ) a( ) + b( ) a+ b Te relationsip is a + b. (b) Since te function nees to be continuous, we may assume tat a + b an f(). f( + ) f( ) ( ( + )) ( ) f( + ) f( ) + a( + ) + b( + ) + a+ a+ a + b+ b + a + a + b + ( a + b ) + ( a+ a+ b) + a+ b Terefore, a + b. Substituting a for b gives a + ( a), so a. Ten b a ( ) 5. Te values are a an b 5.. True. See Teorem.. False. Te function f() is continuous at but is not ifferentiable at.. B f( a+ ) f( a ). A; NDER( f, a) Te symmetric ifference quotient gets larger as gets smaller, so f () is unefine. ( + ) + ( ( ) + ). B; ( + ) + ( + ) 5. C; (a) Copyrigt 6 Pearson Eucation, Inc.
16 Section. 7 (b) You can use Trace to elp see tat te value of Y is for every < an is for every. It appears to be te grap, < of f( ),. (c) () You can use Trace to elp see tat te value of Y is for every < an is for every. It appears to be te grap, < of f( ),. 7. (a) (tat is, for in any open interval containing ). () No, because te one-sie its (as in part (c)) o not eist. (e) ( ) g( + ) g( ) sin sin As note in part (a), te it of tis as approaces zero is, so g (). Section. Rules for Differentiation (pp. 8 8) Quick Review... ( )( + ) (b) See eercise 6. (c) () NDER(Y,.)., NDER(Y, ).9995, NDER(Y,.). Te numerical erivative gets it rigt at. an., but gets it wrong at were te function is iscontinuous an nonifferentiable ( + )( + ) ( + ) + 8. (a) Note tat sin( / ) for all ecept, so sin by te Sanwic Teorem. Terefore, f is continuous at. (b) f( + ) f( ) sin sin (c) Te it oes not eist because sin oscillates between an an infinite number of times arbitrarily close to 6 6 At. 7, 5 5. At. 9, 5 9,. After rouning, we ave: 6 At, At, 5 9,. 8. (a) f ( ) 7 (b) f () 7 Copyrigt 6 Pearson Eucation, Inc.
17 8 Section. (c) f( + ) 7 () f( ) f( a) 7 7 a a a a a 9. Tese are all constant functions, so te grap of eac function is a orizontal line an te erivative of eac function is.. (a) (b) Section. Eercises.. f( + ) f( ) f ( ) + + f( + ) f( ) f ( ) + ( + ) ( + ) ( + ) ( + ) y ( ) + ( ) + y ( ) y. ( ) + ( ) +. y ( ) + ( ) + ( ) y ( ) y () ( ) + ( ) ( ) + + y ( + + ) + Horizontal tangents at y ( + + ) 8+ Horizontal tangents at,. y ( ) +,. + 8 Horizontal tangents at, ±. y ( 6 ) Horizontal tangents at,. y 5 ( 5 ) 5 5 Horizontal tangents at,,. y ( ) + Horizontal tangents at, , 8 Copyrigt 6 Pearson Eucation, Inc.
18 . (a) (b). (a) (b) y [( + )( + )] ( + ) ( + ) + ( + ) ( + ) ( + )( ) + ( + )( ) y [( + )( + )] ( ) y ( + ) ( + ) ( ) ( ) ( + ) + y ( + ) Tis is equivalent to te answer in part (a) Section. 9 y + 5 ( )( ) ( + 5)( ) ( ) 9 ( ) + 5 y ( + 5 ) ( )( + + ) y ( ) + + y ( + )( ) ( )( ) ( + ) ( + ) ( + + )( + + ) 7 5 ( ) ( + )( + ) 5 ( ) y ( )( ) ( ) ( ) + ( ) Copyrigt 6 Pearson Eucation, Inc.
19 Section.. y ( + )( + ) ( )( ) ( + )( + ) ( + + )( ) ( + ) ( 5+ 6) ( + 5 6) ( + ) 6 ( + ). (a) At, ( uv ) u () v () + v () u () ()() 5 + ( )( ) (b) At, (c) At, u v() u () u() v () v [()] v ( )( ) ( 5)( ) ( ) 7 v u() v () v() u () u [ u( )] ()() 5 ( )( ) () () At, ( 7v u) 7v () u () 7 ( ) ( ). (a) At, ( uv ) u ( ) v ( ) + v ( ) u ( ) ()() + ()( ) (c) At, v u( ) v ( ) v( ) u ( ) u [ u( )] ()() ()( ) () 9 () Use te result from part (a) for ( uv ). At, ( u v+ uv) u ( ) v ( ) + ( uv) ( ) ( ) + ( ) 5. y ( ) + 5 y () () + 5 Te slope is. (iii) 6. Te given equation is equivalent to y + 6, so te slope is. (iii) 7. + y ( ) ( + ) () y () () () + y() () y ( ) + + (b) At, u v( ) u ( ) u( ) v ( ) v [()] v ()( ) ( )( ) () Copyrigt 6 Pearson Eucation, Inc.
20 Section y ( ) ( + ) ( ) y ( ) ( ) ( ) + y( ) ( ) y ( + ) + y + 5 y ( 8+ ) 8 8 y y + / / + / / / / ( + ) ( ) / ( + ) / / / [( + ) ( )] / ( + ) / / ( + ) ( + ) y + / y y + + y + 6 y + 6 y y + + y + y y y 6 5 y + y + y + y y + y + + y y 6 y 6 iv 5 y 5 y ( ) y ( ) ( ) 9 Te tangent line as slope 9, so te perpenicular line as slope an passes 9 troug (, ). y 9 ( ) + 9 y y ( ) + Te slope is wen +, at ±. Te tangent at as slope an passes troug (, ), so its equation is y ( + ), or y +. Te tangent at as slope an passes troug (, ), so its equation is y ( ) +, or y. Te smallest slope occurs wen + is minimize, so te smallest slope is an occurs at. Copyrigt 6 Pearson Eucation, Inc.
21 Section y ( ) 6 6 6( ) 6( + )( ) Te tangent is parallel to te -ais wen y, at an at. Since y( ) 7 an y(), te two points were tis occurs are (, 7) an (, ). y ( ) y ( ) Te tangent line as slope an passes troug (, 8), so its equation is y ( + ) 8, or y + 6. Te -intercept is an te y-intercept is 6. ( + )( ) ( ) + y ( ) ( + ) ( + ) At te origin: y () Te tangent is y. At (, ): y (). Te tangent is y. ( + )( ) 8( ) 6 y ( ) ( + ) ( + ) y ( ) Te tangent as slope an passes troug (, ). Its equation is y ( ) +, or y +.. (a) Let f( ). ( ) f ( ) f( + ) f( ) ( + ) ( ) (b) Note tat u u() is a function of. u( + ) [ u( )] ( u) u ( + ) u ( ) u ( + ) u ( ) u Copyrigt 6 Pearson Eucation, Inc.
22 Section ( c f( )) c f( ) + f( ) ( c) c f( ) + c f( ) ( ) f f( ) f ( ) f ( ) [ f( )] [ f( )] P nrt an V V V nb V ( V nb) ( nrt) ( nrt) ( V nb) V V ( an V ) ( V nb) V nrt + an V ( V nb) nrt an + ( V nb) V s ( 9. t ) 98. t t t s (. 98t) 98. t t R C M M M M C M M M CM M 9. If te raius of a circle is cange by a very small amount r, te cange in te area can be tougt of as a very tin strip wit lengt given by te circumference, r, an wit r. Terefore, te cange in te area can be approimate by ( r)( r), wic means tat te cange in te area ivie by te cange in te raius is approimately r. 5. If te raius of a spere is cange by a very small amount r, te cange in te volume can be tougt of as a very tin layer wit an area given by te surface area, r, an a tickness given by r. Terefore, te cange in te volume can be approimate by ( r )( r), wic means tat te cange in te volume ivie by te cange in te raius is approimately r. 5. Let t() be te number of trees an y() be te yiel per tree years from now. Ten t() 56, y(), t (), an y ().. 5 Te rate of increase of prouction is ( ty ) t () y () + y ()() t ( 56)(. 5) + ( )( ) 9 busels or annual prouction per year. Copyrigt 6 Pearson Eucation, Inc.
23 Section. 5. Let m() be te number of members an c() be te pavilion cost years from now. Ten m() 65, c() 5, m () 6, an c (). Te rate of cange of eac member s sare is c m() c () c() m () m [ m( )] ( 65)( ) ( 5)( 6) ( 65). ollars per year. Eac member s sare of te cost is ecreasing by approimately cents per year. 5. False; is a constant, so is also a constant an ence ( ). 5. True; f ( ) is never zero, so tere are no orizontal tangents. 55. B; ( uv) u v + v u ( )( ) + ( )( ) 56. D; f( ) f ( ) + f ( ) 57. E; + ( ) ( + ) ( ) ( ) (b) It was rejecte because it is incomparably smaller tan te oter terms: v u an u v. u v (c) ( uv) v + u. Tis is equivalent to te prouct rule given in te tet. () Because is infinitely small, an tis coul be tougt of as iviing by zero. (e) u u+ u u v v + v v ( u+ u)( v) ( u)( v+ v) ( v+ v)( v) uv + vu uv uv v + vv vu uv v Quick Quiz Sections... D. A; Slope of normal: m Slope of tangent: m m Terefore f ().. C; y + ( + ) ( ) ( + ) ( + ) 58. B; f ( ) ( ) + ( + ) [( ) + ( + )] f ( ) only wen Tere is one orizontal tangent at. 59. (a) It is insignificant in te iting case an can be treate as zero (an remove from te epression).. (a) y ( ) 8 ( ), ± Copyrigt 6 Pearson Eucation, Inc.
24 (b) f () ()( ) y () () y y m( ) + y y ( ) y + Section. 5. Wen te trace cursor is moving to te rigt te particle is moving to te rigt, an wen te cursor is moving to te left te particle is moving to te left. Again we fin te particle reverses irection at about t.6 an t.6. (c) m m y ( ). Wen te trace cursor is moving upwar te particle is moving to te rigt, an wen te cursor is moving ownwar te particle is moving to te left. Again we fin te same values of t for wen te particle reverses irection. Section. Velocity an Oter Rates of Cange (pp. 9 ) Eploration Growt Rings on a Tree. Figure. is a better moel, as it sows rings of equal area as oppose to rings of equal wit. It is not likely tat a tree coul sustain increase growt year after year, altoug cate conitions o prouce some years of greater growt tan oters.. Rings of equal area suggest tat te tree as approimately te same amount of woo to its girt eac year. Wit access to approimately te same raw materials from wic to make te woo eac year, tis is ow most trees actually grow.. We can represent te velocity by graping te parametric equations () t () t t t+ 5, y() t ( part ), 5() t () t t t+ 5, y5() t t ( part ), 6() t t, y6() t () t t t+ 5 ( part ). Since cange in area is constant, so also is cange in area. If we enote tis latter constant by k, we ave k r, wic means tat r cange in raius varies inversely as te cange in te raius. In oter wors, te cange in raius must get smaller wen r gets bigger, an vice-versa. Eploration Moeling Horizontal Motion. Te particle reverses irection at about t.6 an t.6. For (, y ) an ( 5, y 5), te particle is moving to te rigt wen te -coorinate of te grap (velocity) is positive, moving to te left wen te -coorinate of te grap (velocity) is negative, an is stoppe wen te -coorinate of te grap (velocity) is. For Copyrigt 6 Pearson Eucation, Inc.
25 6 Section. ( 6, y 6), te particle is moving to te rigt wen te y-coorinate of te grap (velocity) is positive, moving to te left wen te y-coorinate of te grap (velocity) is negative, an is stoppe wen te y-coorinate of te grap (velocity) is. Eploration Seeing Motion on a Graping Calculator 6. f( ) ( + ) 6( )( 7) or 7 f( ) 8 at an at 7.. Let tmin an tma.. Since te rock acieves a maimum eigt of feet, set yma to be sligtly greater tan, for eample yma.. Te graper procees wit constant increments of t (time), so piels appear on te screen at regular time intervals. Wen te rock is moving more slowly, te piels appear closer togeter. Wen te rock is moving faster, te piels appear farter apart. We observe faster motion wen te piels are farter apart. Quick Review.. Te coefficient of is negative, so te parabola opens ownwar.. Te y-intercept is f() 56.. Te -intercepts occur wen f() ( + 6) 6( )( 8) or 8 Te -intercepts are an 8. Since f( ) 6( + 6) 6( + 5 9) 6( 5) +, te range is (, ]. y y 5 at 8 y 8. > + 6 > > 6 < 5 y wen 5. > < 9. Note tat f ( ) + 6. f( + ) f( ) f ( ) () f ( ) + 6 f ( ) At 7 (an, in fact, at any oter value of ), y. Section. Eercises. (a) V() s s 5. Since f + te verte is at (5, ). ( ) 6( + 6) 6( + 5 9) 6( 5), (b) (c) V s s V s () s V s 5 () 75 s 5 Copyrigt 6 Pearson Eucation, Inc.
26 (). (a) (b) (c) (). (a) (b) (c) in in. C C r r C C A r C AC ( ) A C C C A C A C in in. s C 6 C 6 or square inces per inc s s s s A b s As () s A s s A s ( ) s A 5 s ( ) s. (a) s r r s s r r s Section. 7 Use Pytagorean Teorem on lower rigt triangle: s + s ( r) s r s r A s r A() r r A (b) r r (c) () A r r A 5. (a) s(ft) 6. (a) r r 8 () 8 () in or square inces per inc in. 5 t(sec) (b) s () 8, s (.5), s (.5) 5 () in in. or square inces per inc (b) s () 6, s (.5), s (.5) 7. (a) We estimate te slopes at several points as follows, ten connect te points to create a smoot curve. Copyrigt 6 Pearson Eucation, Inc.
27 8 Section. t (ays) 5 Slope (flies/ ay) increasing, for < t < 6. Te acceleration is negative wen v is ecreasing, for t < an for 6 < t < 7. Te acceleration is zero wen v is constant, for < t < an for 7 < t 9. (c) Te particle moves at its greatest spee wen v is maimize, at t an for < t <. 8. Horizontal ais: Days Vertical ais: Flies per ay (b) Fastest: Aroun te 5t ay Slowest: Day 5 or ay Qt () ( t) ( 9 6t+ t ) 8,, t+ t Q () t, + t Te rate of cange of te amount of water in te tank after minutes is Q ( ) 8 gallons per minute. Note tat Q ( ) <, so te rate at wic te water is running out is positive. Te water is running out at te rate of 8 gallons per minute. Te average rate for te first minutes is Q( ) Q( ) 8, 8,, gal/min. Te water is flowing out at an average rate of, gallons per minute over te first min. 9. (a) Te particle moves forwar wen v >, for t < an for 5 < t < 7. Te particle moves backwar wen v <, for < t < 5. Te particle spees up wen v is negative an ecreasing, for < t <, an wen v is positive an increasing, for 5 < t < 6. Te particle slows own wen v is positive an ecreasing, for t < an for 6 < t < 7, an wen v is negative an increasing, for < t < 5. () Te particle stans still for more tan an instant wen v stays at zero, for 7 < t 9.. (a) Te particle is moving left wen te grap of s as negative slope, for < t < an for 5 < t 6. Te particle is moving rigt wen te grap of s as positive slope, for t <. Te particle is staning still wen te grap of s is orizontal, for < t < an for < t < 5. (b) For t < : v cm/sec Spee v cm/sec For < t < : v cm/sec Spee v cm/sec For < t < : v cm/sec Spee v cm/sec ( ) For < t < 5: v cm/sec 5 Spee v cm/sec ( ) For 5 < t 6: v cm/sec 6 5 Spee v cm/sec Velocity grap: v (b) Note tat te acceleration a is t unefine at t, t, an t 6. Te acceleration is positive wen v is Copyrigt 6 Pearson Eucation, Inc.
28 Section. 9 Spee grap:. (a) It takes 5 secons. (b) Average spee F t furlongs/sec.. (a) Te boy reverses irection wen v canges sign, at t an at t 7. (b) Te boy is moving at a constant spee, v m/sec, between t an t 6. (c) Te spee grap is obtaine by reflecting te negative portion of te velocity grap, < t < 7, about te -ais. Spee(m/sec) 6 8 t(sec) () For t < : a m/sec For < t < : a m/sec ( ) For < t < 6: a m/sec 6 ( ) For 6 < t < 8: a m/sec 8 6 For 8 < t : a 5. m/sec 8 Acceleration (m/sec ) (, ) (6, ) (8, ) (, ) (6, ) 6 8 t(sec) (8,.5) (, ) (, ) (,.5) (c) Using a symmetric ifference quotient, te orse s spee is approimately F t furlongs/sec. () Te orse is running te fastest uring te last furlong (between 9t an t furlong markers). Tis furlong takes only secons to run, wic is te least amount of time for a furlong. (e) Te orse accelerates te fastest uring te first furlong (between markers an ). s. (a) Velocity: vt () t ( t. 8t ) t. 6 t m/sec v Acceleration: at () t (. 6t) t 6. m/sec (b) Te rock reaces its igest point wen vt (). 6t, at t 5. It took 5 secons. (c) Te maimum eigt was s(5) 8 meters. () st () ( 8 ) t. 8t 9. 8t t+ 9 Copyrigt 6 Pearson Eucation, Inc.
29 Section. (e) ± ( ) (. 8)( 9) t 8 (. ). 9, It took about.9 secons to reac alf its maimum eigt. st () t. 8t 8. t( t) t or t Te rock was aloft from t to t, so it was aloft for secons.. On Mars: Velocity s (. 86t ) 7. t t t Solving.7t 6.6, te ownwar velocity reaces 6.6 m/sec after about.6 sec. On Jupiter: Velocity s (. t ). 88t t t Solving.88t 6.6, te ownwar velocity reaces 6.6 m/sec after about.76 sec. 5. Te rock reaces its maimum eigt wen te velocity s () t 9. 8t, at t. 9. Its maimum eigt is about s(. 9) meters. 6. Moon: st () 8t. 6t 6. t( t) t or t It takes secons to return. Eart: st () 8t 6t 6t( 5 t) t or t 5 It takes 5 secons to return. 7. Te following is one way to simulate te problem situation. For te moon: () t ( t < 6) +.( t 6) y () t 8t. 6t t-values: to winow: [, 6] by [,, 7,] For te eart: () t ( t < 6) +.( t 6) y () t 8t 6t t-values : to 5 winow: [, 6 ] by [,, ] 8. (a) 9 ft/sec (b) secons (c) After 8 secons, an its velocity was ft/sec ten () After about secons, an it was falling 9 ft/sec ten (e) About secons (from te rocket s igest point) (f) Te acceleration was greatest just before te engine stoppe. Te acceleration was constant from t to t, wile te rocket was in free fall. 9. (a) Displacement: s() 5 s() m (b) Average velocity m m/sec 5 sec (c) Velocity s () t t At t, velocity s ( ) ( ) 5 m/sec () Acceleration s () t m/sec. (a) (e) Te particle canges irection wen s () t t, so t sec. (f) Since te acceleration is always positive, te position s is at a minimum wen te particle canges irection, at t sec. Its position at tis time is s m. (b) s vt () ( t 7t t 8) t t + + vt () t + t v at () ( t t ) t t + at () 6t+ Copyrigt 6 Pearson Eucation, Inc.
30 . (a) (c) v(t) t + t t.5,.5 () Te particle starts at te point s 8 wen t an moves left until it stops at s.6 wen t.5, ten it moves rigt to te point s. wen t.5 were it stops again, an finally continues left from tere on. s vt () t [( t ) ( t )] t ( t ) ( ) + ( t ) ( t ) ( t )[( t ) + ( t )] ( t )( t ) v (b) at () [( t )( t )] t t at () 6t 6.. Section. vt () s () t t t+ 9 at () v () t 6t Fin wen velocity is zero. t t+ 9 ( t t+ ) ( t )( t ) t or t At t, te acceleration is a () 6 m/sec At t, te acceleration is a () 6 m/sec at () v () t 6t 8t+ Fin wen acceleration is zero. 6t 8t+ 6( t t+ ) 6( t )( t ) t or t At t, te spee is v () m/sec. At t, te spee is v ( ) m/sec.. (a) (c) vt () ( t )( t ) t, () Te particle starts at te point s 6 wen t an move rigt until it stops at s wen t, ten it moves left to te (b) (c) point s.85 wen t were it stops again, an finally continues rigt from tere on. s vt () ( t 6t 8t ) t t + + vt () t t+ 8 ν at () ( t t+ 8) t t at () 6t ν () t t t+ 8 t. 85, (a) y t 6 t t t t 6 + t 6 6 t t t + t + t (b) Te flui level is falling fastest wen y t is te most negative, at t, y wen. t Te flui level is falling y slowest at t, wen. t (c) () Te particle starts at te point s wen t an moves rigt until it stops at s 5.79 wen t.85, ten it moves left to te point s.79 wen t.55 were it stops again, an finally continues rigt from tere on. Copyrigt 6 Pearson Eucation, Inc.
31 Section. y is ecreasing an y t an te magnitue of y t orizontal tangent. is negative over te entire interval; y ecreases more rapily early in te interval, is larger ten. y t is at t, were te grap of y seems to ave a 6. (a) To grap te velocity, we estimate te slopes at several points as follows, ten connect te points to create a smoot curve. t (ours) v (km/our) To grap te acceleration, we estimate te slope of te velocity grap at several points as follows, an ten connect te points to create a smoot curve. t (ours) a (km/our ) (b) s t t t s 6t t Copyrigt 6 Pearson Eucation, Inc.
32 Section. 9. (a) Te graps are very similar. c( ) 7. (a) Average cost, $ per macine 8. (a) (b) c ( ). Marginal cost c ( ) $ 8 per macine (c) Actual cost of st macine is c() c() $79.9, wic is very close to te marginal cost calculate in part (b). [, 5] by [ 5, ] Te values of wic make sense are te wole numbers,. (b) Marginal revenue r ( ) + + ( + )( ) ( )( ) ( + ) ( + ) (c) r () ( 5+ ) 6. Te increase in revenue is approimately $ () Te it is. Tis means tat as gets large, one reaces a point were very little etra revenue can be epecte from selling more esks. [, ] by [, ] (b) Te values of wic make sense are te wole numbers,. (c) [, ] by [.,.] P is most sensitive to canges in wen P ( ) is largest. It is relatively sensitive to canges in between approimately 6 an 6. () Te marginal profit, P (), is greatest at 6.. Since must be an integer, P( 6). 9 tousan ollars or $9. (e) P ( 5)., or $ per package sol P ( ). 65, or $65 per package sol P ( 5). 8, or $8 per package sol P ( 5)., or $ per package sol P ( 75). 6, or $6 per package sol 6 P ( ), or $. per package sol (f) Te it is. Te maimum possible profit is $, montly. (g) Yes; in orer to sell more an more packages, te company migt nee to lower te price to a point were tey won t make any aitional profit.. Since te particle moves along te line y, it will be at te point (5, ) wen t () t 6t + 5t 5. Use a graper to see tat tis occurs wen t.8.. Grap C is position, grap A is velocity, an grap B is acceleration. A is te erivative of C because it is positive, negative, an zero were C is increasing, ecreasing, an as orizontal tangents, respectively. Te relationsip between B an A is similar. Copyrigt 6 Pearson Eucation, Inc.
33 Section.. Grap C is position, grap B is velocity, an grap A is acceleration. B is te erivative of C because it is negative an zero were C is ecreasing an as orizontal tangents, respectively. A is te erivative of B because it is positive, negative, an zero were B is increasing, ecreasing, an as orizontal tangents, respectively.. Note tat ownwar velocity is positive wen McCarty is falling ownwar. His ownwar velocity increases steaily until te paracute opens, an ten ecreases to a constant ownwar velocity. One possible sketc: Downwar velocity. (a) Time V r r r r v Wen r, ( ) 6 cubic r feet of volume per foot of raius. (b) Te increase in te volume is (. ) ( ) 9. cubic feet. 5. Let v be te eit velocity of a particle of lava. Ten st () vt 6t feet, so te velocity is s v t. t Solving s t gives v t. Ten te maimum eigt, in feet, is v v 6 v s v v 6. Solving v 9 gives v ± Te eit 6 velocity was about 8.7 ft/sec. Multiplying by 6 sec mi, we fin tat tis is 58 ft equivalent to about mi/. 6. By estimating te slope of te velocity grap at tat point. 7. Te motion can be simulate in parametric moe using () t t t + t 5 an y () t in [ 6, 8] by [, 5]. (a) It begins at te point ( 5, ) moving in te positive irection. After a little more tan one secon, it as move a bit past (6, ) an it turns back in te negative irection for approimately secons. At te en of tat time, it is near (, ) an it turns back again in te positive irection. After tat, it continues moving in te positive irection inefinitely, speeing up as it goes. (b) Te particle spees up wen its spee is increasing, wic occurs uring te approimate intervals.5 t.67 an t.8. It slows own uring te approimate intervals t.5 an.67 t.8. One way to etermine te enpoints of tese intervals is to use a graper to fin te minimums an maimums for te spee, 6t 6t+ using function t moe in te winow [, 5] by [, ]. (c) Te particle canges irection at t.5 sec an at t.8 sec. () Te particle is at rest instantaneously at t.5 sec an at t.8 sec. (e) Te velocity starts out positive but ecreasing, it becomes negative, ten starts to increase, an becomes positive again an continues to increase. Te spee is ecreasing, reaces at t.5 sec, ten increases until t.7 sec, ecreases until t.8 sec wen it is again, an ten increases after tat. (f) Te particle is at (5, ) wen t t + t 5 5 at t.75 sec, t.66 sec, an at t.9 sec. 8. (a) Solving 6 9t gives t ± 7. It took of a secon. Te average velocity 7 6cm was sec 8 cm/sec. ( 7 ) Copyrigt 6 Pearson Eucation, Inc.
34 Section. 5 s (b) V 98t t V a 98 t At s 6 cm, t sec (from part (a)) an 7 V cm/sec 7 a 98 cm/sec (c) Once te balls begin falling, eac flas will prouce a ifferent image. Tere are 6 images of te balls falling, so 6 flases 8 flases per secon. secons 7 9. Since profit revenue cost, te Sum an Difference Rule gives ( profit) ( revenue) ( cost), were is te number of units prouce. Tis means tat marginal profit marginal revenue marginal cost. 5. C; vt () 7 t 7 t 7 t 6. Te growt rate is given by b () t () t, t. At t : b ( ), bacteria/our At t 5: b ( 5) bacteria/our At t : b ( ), bacteria/our 7. (a) g ( ) ( ) ( ) ( ) t ( ) ( + ) (b) Te graps of NDER g(), NDER (), an NDER t() are all te same, as sown.. False; it is te absolute value of te velocity.. True. Te acceleration is te first erivative of te velocity wic, in turn, is te secon erivative of te position function.. C;. D; f ( ) + f ( ) ( ) + ( ) V( ) v s. E; ( + 7t t ) t t vt () 7 t< 7< t 7 < t 7 > (c) f() must be of te form f( ) + c, were c is a constant. () Yes; (e) Yes. f( ) f( ) + 8. For t >, te runners spee in feet per secon is v(t) (.5)t t. At a spee of feet per secon, t 7. t, er approac was 7. secons in time. istance. 5t. 5( 7. ) Her approac was feet in istance. Copyrigt 6 Pearson Eucation, Inc.
35 6 Section.5 9. (a) Assume tat f is even. Ten, f( + ) f( ) f ( ) f( ) f( ), an substituting k, f( + k) f( ) k k f( + k) f( ) f ( ) k k So, f is an o function. (b) Assume tat f is o. Ten, f( + ) f( ) f ( ) f( ) + f( ), an substituting k, f( + k) + f( ) k k f( + k) f( ) k k f ( ) So, f is an even function. 5. ( fg) [ f ( g)] f ( g) + g ( f) g f f g + g + f g g + f + fg Section.5 Derivatives of Trigonometric Functions (pp. 9). Wen te grap of sin stops increasing an starts ecreasing, te grap of (sin ) crosses te -ais from above to below.. Te slope of te grap of sin matces te value of (sin ) at tese points. 5. We conjecture tat (sin ) cos. Te graps coincie, supporting our conjecture. 6. Wen te grap of cos is increasing, te grap of (cos ) is positive (above te -ais). Wen te grap of cos is ecreasing, te grap of (cos ) is negative (below te -ais). Wen te grap of cos stops increasing an starts ecreasing, te grap of (cos ) crosses te -ais from above to below. Te slope of te grap of cos matces te value of (cos ) at tese points. We conjecture tat (cos ) sin. Te graps coincie, supporting our conjecture. Eploration Making a Conjecture by Graping te Derivative. Wen te grap of sin is increasing, te grap of (sin ) is positive (above te -ais).. Wen te grap of sin is ecreasing, te grap of (sin ) is negative (below te -ais). Quick Review Copyrigt 6 Pearson Eucation, Inc.
36 . sin. Domain: All reals Range: [, ] k 5. Domain: for o integers k Range: All reals 6. cos a ± sin a ± ( ) ± 7. If tan a, ten a + k for some integer k, so sin a ± Section.5 7 ( sin ) ( ) (sin ) (sin ) ( ) + [ cos + (sin )( )] cos sin ( + tan ) ( ) + (tan ) (tan ) ( ) + + sec + tan ( sec ) sec tan cos 8. cos ( cos ) ( + cos ) ( + cos ) cos ( + cos ) sin ( + cos ) 8. cos + ( + cos ) ( ) ( + cos ) ( + cos ) + cos + sin ( + cos ) 9.. y ( ) 6 y () Te tangent line as slope an passes troug (, ), so its equation is y ( ) +, or y 5. at () v () t 6t t a () Section.5 Eercises. ( + cos ) + ( sin ) + sin. ( sin tan ) cos sec 9. cot cot + ( + cot ) (cot ) (cot ) ( + cot ) ( + cot ) ( + cot )( csc ) (cot )( csc ) ( + cot ) csc ( + cot ) csc sin ( + cot ) sin (sin + cos ). + 5sin + 5cos. ( sec ) (sec ) + sec ( ) sec tan + sec Copyrigt 6 Pearson Eucation, Inc.
37 8 Section.5 cos. sin + ( + sin ) (cos ) (cos ) ( + sin ) ( + sin ) ( + sin )( sin ) (cos )(cos ) ( + sin ) sin sin cos ( + sin ) ( + sin ) ( + sin ) + sin s. vt () ( 5 sin t) t vt () 5cost v at () ( 5 cos t) t at () 5sint Te weigt starts at, goes to 5, an te oscillates between 5 an 5. Te perio of te motion is. Te spee is greatest wen cos t ± ( t k ), zero wen cos k t t, k o. Te acceleration is k greatest wen sin t ± t, k o, zero wen sin t ( t k ). s. vt () ( 7 cos t) t vt () 7sint v at () ( 7 sin t) t at () 7cost Te weigt starts at 7, goes to 7, an ten oscillates between 7 an 7. Te perio of te motion is. Te spee is greatest wen sin k t ± t, k o, zero wen sin t ( t k ). Te acceleration is greatest wen cos t ± ( t k ), zero wen cos k t t, k o. s. (a) vt () ( sin t) t t + vt ( ) cos t, spee cost v at () ( cos) t sint t t (b) v cos, spee a sin (c) Te boy starts at, goes up to 5, goes own to, an ten oscillates between an 5. Te perio of motion is. G s. (a) vt () ( cos) t t t vt () sin t, spee sin t v at () ( sin t) t t at () cos t (b) v sin, spee a cos (c) Te boy starts at, goes up to 5, an ten oscillates between 5 an. Te perio of te motion is. G s 5. (a) vt () ( sint+ cos) t t t vt ( ) cos t sin t, spee cos t sin t v at () ( cost sin t) t t at () sint cost (b) v cos sin v spee a sin cos 5 a Copyrigt 6 Pearson Eucation, Inc.
38 Section.5 9 (c) Te boy starts at, goes to 66.,an ten oscillates between.66 an.66. Te perio of te motion is. s 6. (a) vt () (cost sin t) t t vt () sint cos, t spee sin t cost v at () ( sint cos) t t t at () cost+ sint (b) v sin cos spee a cos sin + (c) Te boy starts at, goes to. 6, an ten oscillates between.6 an.6. Te perio of te motion is. a s jt () t t f() t cost f () t sint f () t cost f () t sint a s jt () t t f() t + cos t f () t sin t f () t cos t f () t sin t a s jt () t t f() t sint cost f () t cost+ sint f () t sint+ cost f () t cost sint. y sin + y (sin + ) cos y( ) sin + y ( ) cos tangent: y ( ) normal: m m y ( ) +. y sec y (sec ) sec tan y sec. y sec tan. tangent: y. ( ) +. y. +.. normal: m. 77 m y. 77( ) y sin y ( sin ) sin + cos y() () sin. 7 y () ()sin + () cos 86. tangent: y 8. 6( ) normal: m. m y. ( ) +. 7 y a s jt () t t f() t + sint f () t cost f () t sint f () t cost Copyrigt 6 Pearson Eucation, Inc.
39 Section.5 cos( + ) cos. (cos cos sin sin ) cos cos (cos ) sin sin cos sin (cos ) (sin ) cos sin (cos ) (sin ) (cos )( ) (sin )( ) sin 5. (a) (b) tan sin cos (cos ) (sin ) (sin ) (cos ) (cos ) (cos )(cos ) (sin )( sin ) cos cos + sin cos cos sec sec cos (cos ) ( ) ( ) (cos ) (cos ) (cos )( ) ( )( sin ) cos sin cos sec tan 6. (a) (b) cot cos sin (sin ) (cos ) (cos ) (sin ) (sin ) (sin )( sin ) (cos )(cos ) sin (sin + cos ) sin sin csc csc sin (sin ) ( ) ( ) (sin ) (sin ) (sin )( ) ( )(cos ) sin cos sin csc cot 7. sec sec tan wic is at, so te slope of te tangent line is. cos sinwic is at, so te slope of te tangent line is. 8. tan sec, wic is never. cos cot csc, wic is never sin. y( ) cos sin 9. ( ) y sin Te tangent line as slope an passes troug, cos,, so its equation is y +, or Copyrigt 6 Pearson Eucation, Inc.
40 . y + +. Te normal line as slope an passes troug,, so its equation is y +, or y +. y ( ) tan sec y ( ) ( ) sec sec ± cos ± On,, te solutions are ±. Te points on te curve are, an,.. y ( ) ( + cot csc ) csc + csc cot csc + csc cot (a) csc + csc cot + ()( ) Te tangent line as slope an passes troug P,. Its equation is y +, or y + +. y. Section.5 (b) f () csc + csc cot cos + sin sin ( cos ) sin cos at point Q y + cot csc + Te coorinates of Q are,. Te equation of te orizontal line is y. y ( ) ( + csc+ cot ) + ( csccot ) + ( csc ) csc cot csc (a) y csc cot csc ( )( ) ( ) Te tangent line as slope an passes troug P,. Its equation is y +, or y + +. Copyrigt 6 Pearson Eucation, Inc.
41 Section.5 (b) y ( ) csc cot csc cos sin sin ( sin cos + ) cos at point Q y + csc + cot + ( ) + ( ) Te coorinates of Q are,. Te equation of te orizontal line is y.. (a) Velocity: s (t) cos t m/sec Spee: s (t) cos t m/sec Acceleration: s () t sintm/sec Jerk: s (t) cos t m/sec (b) Velocity: cos m/sec Spee: m/sec Acceleration: sin m/sec Jerk: cos m/sec (c) Te boy starts at, goes to an ten oscillates between an. Spee: Greatest wen cos t ± ( or t k ), at te center of te interval of motion. k Zero wen cos t ( or t, k o), at te enpoints of te interval of motion. Acceleration: Greatest (in magnitue) k wen sin t ± (or t, k o) Zero wen sin t ( or t k ) Jerk: Greatest (in magnitue) wen cos t ± ( or t k ). k Zero wen cos t ( or t, k o). (a) Velocity: s (t) cos t sint m/sec Spee: s () t cost sin t m/sec Acceleration: s (t) sin t cos t m/sec Jerk: s (t) cos t + sin t m/sec (b) Velocity: cos sin m/ sec Spee: m/sec Acceleration: sin cos m/ sec Jerk: cos + sin m/sec (c) Te boy starts at, goes to an ten oscillates between ±. Spee: Greatest wen t + k Zero wen t + k Acceleration: Greatest (in magnitue) wen t + k Zero wen t + k Jerk: Greatest (in magnitue) wen t + k Zero wen t + k 5. y csc csc cot y ( csccot ) (csc ) (cot ) (cot ) (csc ) (csc )( csc ) (cot )( csc cot ) csc + csc cot Copyrigt 6 Pearson Eucation, Inc.
42 Section.5 6. y ( θ tan θ) θ θ (tan ) (tan ) ( ) θ + θ θ θ θ θsec θ + tanθ y ( θsec θ + tan θ) θ θ [(sec θ)(sec θ)] + (sec θ) ( θ) + (tan θ) θ θ θ θ (sec θ) (sec θ) + (sec θ) (sec θ) sec θ sec θ θ θ + + θsec θ tanθ + sec θ ( θ tan θ + )(sec θ) or, writing in terms of sines an cosines, + θ tanθ cos θ cosθ + θsinθ cos θ g() g() cos cos(), an g ( ) ( + b ) b. We 7. Continuous: Note tat + + require g ( ) g( ), so b. Te function is continuous if b. Differentiable: For b, te left-an erivative is an te rigt-an erivative is sin (), so te function is not ifferentiable. For oter values of b, te function is iscontinuous at an tere is no leftan erivative. So, tere is no value of b tat will make te function ifferentiable at. 8. Observe te pattern: 5 cos sin cos sin 5 6 cos cos cos cos 6 7 cos sin cos sin 7 8 cos cos cos cos 8 Continuing te pattern, we see tat n cos sin wen n k + for any wole number k. n Since 999 (9) +, cos sin. Copyrigt 6 Pearson Eucation, Inc.
43 Section.5 9. Observe te pattern: sin cos sin cos 5 6 sin sin sin sin 6 7 sin cos sin cos 7 8 sin sin sin sin 8 Continuing te pattern, we see tat n sin cos wen n k + for any n wole number k. Since 75 (8) +, sin cos.. Te line is tangent to te grap of y sin at (, ). Since y () cos (), te line as slope an its equation is y.. (a) Using y, sin (.).. 5. cos [(cos )(cos ) (sin )(sin )] (cos ) (cos ) + (cos ) (cos ) (sin ) (sin ) + (sin ) (sin ) (cos )( sin ) (sin )(cos ) sin cos ( sincos ) sin. True. s () t cos, t s cos >. Te erivative is positive at t. 5. False. Te velocity is negative an te spee is positive at t.. (b) sin(.).977 to igits. So. is only off by.8779 of te compute actual value. sin ( sincos ) (sin cos ) (sin ) (cos ) + (cos ) (sin ) [(sin )( sin ) + (cos )(cos )] (cos sin ) cos 6. A; y sin + cos y ( ) cos sin y( ) sin + cos y ( ) cos sin y ( ) y + 7. B; See 6. m m y ( ) 8. C; y sin y sin + cos y cos + cos sin k sin + cos s 9. C; vt () ( sin t) t t + vt () cost t Copyrigt 6 Pearson Eucation, Inc.
44 Section (a) Te it is 8 because tis is te conversion factor for canging from egrees to raians. (b) Tis it is still. (c) () (e) sin( + ) sin sin sin cos + cos sin sin sin (cos ) + cos sin cos sin sin cos + (sin )( ) + (cos ) 8 cos 8 cos( + ) cos cos cos cos sin sin cos (cos )(cos ) sin sin cos sin cos sin (cos )( ) (sin ) 8 sin 8 sin cos 8 sin 8 8 sin 8 Copyrigt 6 Pearson Eucation, Inc.
does NOT exist. WHAT IF THE NUMBER X APPROACHES CANNOT BE PLUGGED INTO F(X)??????
MATH 000 Miterm Review.3 Te it of a function f ( ) L Tis means tat in a given function, f(), as APPROACHES c, a constant, it will equal te value L. Tis is c only true if f( ) f( ) L. Tat means if te verticle
More informationChapter 2. Limits and Continuity 16( ) 16( 9) = = 001. Section 2.1 Rates of Change and Limits (pp ) Quick Review 2.1
Capter Limits and Continuity Section. Rates of Cange and Limits (pp. 969) Quick Review..... f ( ) ( ) ( ) 0 ( ) f ( ) f ( ) sin π sin π 0 f ( ). < < < 6. < c c < < c 7. < < < < < 8. 9. 0. c < d d < c
More informationChapter 2 Limits and Continuity
4 Section. Capter Limits and Continuity Section. Rates of Cange and Limits (pp. 6) Quick Review.. f () ( ) () 4 0. f () 4( ) 4. f () sin sin 0 4. f (). 4 4 4 6. c c c 7. 8. c d d c d d c d c 9. 8 ( )(
More information130 Chapter 3 Differentiation
0 Capter Differentiation 20. (a) (b) 2. C position, A velocity, an B acceleration. Neiter A nor C can be te erivative of B because B's erivative is constant. Grap C cannot be te erivative of A eiter, because
More informationChapter Primer on Differentiation
Capter 0.01 Primer on Differentiation After reaing tis capter, you soul be able to: 1. unerstan te basics of ifferentiation,. relate te slopes of te secant line an tangent line to te erivative of a function,.
More informationDerivatives of trigonometric functions
Derivatives of trigonometric functions 2 October 207 Introuction Toay we will ten iscuss te erivates of te si stanar trigonometric functions. Of tese, te most important are sine an cosine; te erivatives
More informationSECTION 2.1 BASIC CALCULUS REVIEW
Tis capter covers just te very basics of wat you will nee moving forwar onto te subsequent capters. Tis is a summary capter, an will not cover te concepts in-ept. If you ve never seen calculus before,
More informationDifferential Calculus Definitions, Rules and Theorems
Precalculus Review Differential Calculus Definitions, Rules an Teorems Sara Brewer, Alabama Scool of Mat an Science Functions, Domain an Range f: X Y a function f from X to Y assigns to eac x X a unique
More informationChapter 2 Limits and Continuity. Section 2.1 Rates of Change and Limits (pp ) Section Quick Review 2.1
Section. 6. (a) N(t) t (b) days: 6 guppies week: 7 guppies (c) Nt () t t t ln ln t ln ln ln t 8. 968 Tere will be guppies ater ln 8.968 days, or ater nearly 9 days. (d) Because it suggests te number o
More informationCHAPTER (A) When x = 2, y = 6, so f( 2) = 6. (B) When y = 4, x can equal 6, 2, or 4.
SECTION 3-1 101 CHAPTER 3 Section 3-1 1. No. A correspondence between two sets is a function only if eactly one element of te second set corresponds to eac element of te first set. 3. Te domain of a function
More informationIn Leibniz notation, we write this rule as follows. DERIVATIVE OF A CONSTANT FUNCTION. For n 4 we find the derivative of f x x 4 as follows: lim
.1 DERIVATIVES OF POLYNOIALS AND EXPONENTIAL FUNCTIONS c =c slope=0 0 FIGURE 1 Te grap of ƒ=c is te line =c, so fª()=0. In tis section we learn ow to ifferentiate constant functions, power functions, polnomials,
More informationContinuity and Differentiability Worksheet
Continuity and Differentiability Workseet (Be sure tat you can also do te grapical eercises from te tet- Tese were not included below! Typical problems are like problems -3, p. 6; -3, p. 7; 33-34, p. 7;
More informationSome Review Problems for First Midterm Mathematics 1300, Calculus 1
Some Review Problems for First Midterm Matematics 00, Calculus. Consider te trigonometric function f(t) wose grap is sown below. Write down a possible formula for f(t). Tis function appears to be an odd,
More information5.1 We will begin this section with the definition of a rational expression. We
Basic Properties and Reducing to Lowest Terms 5.1 We will begin tis section wit te definition of a rational epression. We will ten state te two basic properties associated wit rational epressions and go
More informationExercises Copyright Houghton Mifflin Company. All rights reserved. EXERCISES {x 0 x < 6} 3. {x x 2} 2
Eercises. CHAPTER Functions EXERCISES.. { 0 < 6}. a. Since and m, ten y, te cange in y, is y m. { } 7. For (, ) and (, ), te slope is Since and m, ten y, te cange in y, is y m 0 9. For (, 0) and (, ),
More information3.1 Extreme Values of a Function
.1 Etreme Values of a Function Section.1 Notes Page 1 One application of te derivative is finding minimum and maimum values off a grap. In precalculus we were only able to do tis wit quadratics by find
More informationy. ( sincos ) (sin ) (cos ) + (cos ) (sin ) sin + cos cos. 5. 6.. y + ( )( ) ( + )( ) ( ) ( ) s [( t )( t + )] t t [ t ] t t s t + t t t ( t )( t) ( t + )( t) ( t ) t ( t ) y + + / / ( + + ) / / /....
More information(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 informationf(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 information1 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 informationDerivatives. By: OpenStaxCollege
By: OpenStaxCollege Te average teen in te United States opens a refrigerator door an estimated 25 times per day. Supposedly, tis average is up from 10 years ago wen te average teenager opened a refrigerator
More informationUnit #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 information2.8 The Derivative as a Function
.8 Te Derivative as a Function Typically, we can find te derivative of a function f at many points of its domain: Definition. Suppose tat f is a function wic is differentiable at every point of an open
More informationThis file is /conf/snippets/setheader.pg you can use it as a model for creating files which introduce each problem set.
Yanimov Almog WeBWorK assignment number Sections 3. 3.2 is ue : 08/3/207 at 03:2pm CDT. Te (* replace wit url for te course ome page *) for te course contains te syllabus, graing policy an oter information.
More informationDerivatives. if such a limit exists. In this case when such a limit exists, we say that the function f is differentiable.
Derivatives 3. Derivatives Definition 3. Let f be a function an a < b be numbers. Te average rate of cange of f from a to b is f(b) f(a). b a Remark 3. Te average rate of cange of a function f from a to
More informationExam 1 Review Solutions
Exam Review Solutions Please also review te old quizzes, and be sure tat you understand te omework problems. General notes: () Always give an algebraic reason for your answer (graps are not sufficient),
More informationChapter 3 Further Applications of Derivatives 95. Chapter 4 Exponential and Logarithmic Functions 189
Eite wit te trial version of Foit Avance PDF Eitor To remove tis notice, visit: www.foitsoftware.com/sopping Contents Diagnostic Test Capter Functions Capter Derivatives an Teir Uses Capter Furter Applications
More information1. Consider the trigonometric function f(t) whose graph is shown below. Write down a possible formula for f(t).
. Consider te trigonometric function f(t) wose grap is sown below. Write down a possible formula for f(t). Tis function appears to be an odd, periodic function tat as been sifted upwards, so we will use
More informationKEY CONCEPT: THE DERIVATIVE
Capter Two KEY CONCEPT: THE DERIVATIVE We begin tis capter by investigating te problem of speed: How can we measure te speed of a moving object at a given instant in time? Or, more fundamentally, wat do
More informationLecture Notes Di erentiating Trigonometric Functions page 1
Lecture Notes Di erentiating Trigonometric Functions age (sin ) 7 sin () sin 8 cos 3 (tan ) sec tan + 9 tan + 4 (cot ) csc cot 0 cot + 5 sin (sec ) cos sec tan sec jj 6 (csc ) sin csc cot csc jj c Hiegkuti,
More informationMATH Fall 08. y f(x) Review Problems for the Midterm Examination Covers [1.1, 4.3] in Stewart
MATH 121 - Fall 08 Review Problems for te Midterm Eamination Covers [1.1, 4.3] in Stewart 1. (a) Use te definition of te derivative to find f (3) wen f() = π 1 2. (b) Find an equation of te tangent line
More information1 The concept of limits (p.217 p.229, p.242 p.249, p.255 p.256) 1.1 Limits Consider the function determined by the formula 3. x since at this point
MA00 Capter 6 Calculus and Basic Linear Algebra I Limits, Continuity and Differentiability Te concept of its (p.7 p.9, p.4 p.49, p.55 p.56). Limits Consider te function determined by te formula f Note
More information160 Chapter 3: Differentiation
3. Differentiation Rules 159 3. Differentiation Rules Tis section introuces a few rules tat allow us to ifferentiate a great variety of functions. By proving tese rules ere, we can ifferentiate functions
More informationDifferential Calculus: Differentiation (First Principles, Rules) and Sketching Graphs (Grade 12) *
OpenStax-CNX moule: m39313 1 Differential Calculus: Differentiation (First Principles, Rules) an Sketcing Graps (Grae 12) * Free Hig Scool Science Texts Project Tis work is prouce by OpenStax-CNX an license
More informationMVT and Rolle s Theorem
AP Calculus CHAPTER 4 WORKSHEET APPLICATIONS OF DIFFERENTIATION MVT and Rolle s Teorem Name Seat # Date UNLESS INDICATED, DO NOT USE YOUR CALCULATOR FOR ANY OF THESE QUESTIONS In problems 1 and, state
More informationPre-Calculus Review Preemptive Strike
Pre-Calculus Review Preemptive Strike Attaced are some notes and one assignment wit tree parts. Tese are due on te day tat we start te pre-calculus review. I strongly suggest reading troug te notes torougly
More informationlim 1 lim 4 Precalculus Notes: Unit 10 Concepts of Calculus
Syllabus Objectives: 1.1 Te student will understand and apply te concept of te limit of a function at given values of te domain. 1. Te student will find te limit of a function at given values of te domain.
More informationIntroduction to Derivatives
Introduction to Derivatives 5-Minute Review: Instantaneous Rates and Tangent Slope Recall te analogy tat we developed earlier First we saw tat te secant slope of te line troug te two points (a, f (a))
More information30 is close to t 5 = 15.
Limits Definition 1 (Limit). If te values f(x) of a function f : A B get very close to a specific, unique number L wen x is very close to, but not necessarily equal to, a limit point c, we say te limit
More information2.1 THE DEFINITION OF DERIVATIVE
2.1 Te Derivative Contemporary Calculus 2.1 THE DEFINITION OF DERIVATIVE 1 Te grapical idea of a slope of a tangent line is very useful, but for some uses we need a more algebraic definition of te derivative
More information3.2 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 information102 Problems Calculus AB Students Should Know: Solutions. 18. product rule d. 19. d sin x. 20. chain rule d e 3x2) = e 3x2 ( 6x) = 6xe 3x2
Problems Calculus AB Stuents Shoul Know: Solutions. + ) = + =. chain rule ) e = e = e. ) =. ) = ln.. + + ) = + = = +. ln ) =. ) log ) =. sin ) = cos. cos ) = sin. tan ) = sec. cot ) = csc. sec ) = sec
More informationMAT 145. Type of Calculator Used TI-89 Titanium 100 points Score 100 possible points
MAT 15 Test #2 Name Solution Guide Type of Calculator Used TI-89 Titanium 100 points Score 100 possible points Use te grap of a function sown ere as you respond to questions 1 to 8. 1. lim f (x) 0 2. lim
More informationChapter 1 Prerequisites for Calculus
Section. Chapter Prerequisites for Calculus Section. Lines (pp. 9) Quick Review.. ( ) (). ( ). m 5. m ( ) 5 ( ) 5. (a) () 5 Section. Eercises.. (). 8 () 5. 6 5. (a, c) 5 B A 5 6 5 Yes (b) () () 5 5 No
More informationSECTION 1.10: DIFFERENCE QUOTIENTS LEARNING OBJECTIVES
(Section.0: Difference Quotients).0. SECTION.0: DIFFERENCE QUOTIENTS LEARNING OBJECTIVES Define average rate of cange (and average velocity) algebraically and grapically. Be able to identify, construct,
More informationDifferentiation Rules and Formulas
Differentiation Rules an Formulas Professor D. Olles December 1, 01 1 Te Definition of te Derivative Consier a function y = f(x) tat is continuous on te interval a, b]. Ten, te slope of te secant line
More informationThe derivative of a constant function is 0. That is,
NOTES 3: DIFFERENTIATION RULES Name: Date: Perio: LESSON 3. DERIVATIVE OF POLYNOMIALS AND EXPONENTIAL FUNCTIONS Eample : Prove f ( ) 6 is not ifferentiable at 4. Practice Problems: Fin f '( ) using the
More informationBasic Differentiation Rules and Rates of Change. The Constant Rule
460_00.q //04 4:04 PM Page 07 SECTION. Basic Differentiation Rules an Rates of Change 07 Section. The slope of a horizontal line is 0. Basic Differentiation Rules an Rates of Change Fin the erivative of
More informationx 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 informationA: Derivatives of Circular Functions. ( x) The central angle measures one radian. Arc Length of r
4: Derivatives of Circular Functions an Relate Rates Before we begin, remember tat we will (almost) always work in raians. Raians on't ivie te circle into parts; tey measure te size of te central angle
More information(a) At what number x = a does f have a removable discontinuity? What value f(a) should be assigned to f at x = a in order to make f continuous at a?
Solutions to Test 1 Fall 016 1pt 1. Te grap of a function f(x) is sown at rigt below. Part I. State te value of eac limit. If a limit is infinite, state weter it is or. If a limit does not exist (but is
More informationThe derivative of a constant function is 0. That is,
NOTES : DIFFERENTIATION RULES Name: LESSON. DERIVATIVE OF POLYNOMIALS AND EXPONENTIAL FUNCTIONS Date: Perio: Mrs. Nguyen s Initial: Eample : Prove f ( ) 4 is not ifferentiable at. Practice Problems: Fin
More informationKey Concepts. Important Techniques. 1. Average rate of change slope of a secant line. You will need two points ( a, the formula: to find value
AB Calculus Unit Review Key Concepts Average and Instantaneous Speed Definition of Limit Properties of Limits One-sided and Two-sided Limits Sandwic Teorem Limits as x ± End Beaviour Models Continuity
More informationRecall from our discussion of continuity in lecture a function is continuous at a point x = a if and only if
Computational Aspects of its. Keeping te simple simple. Recall by elementary functions we mean :Polynomials (including linear and quadratic equations) Eponentials Logaritms Trig Functions Rational Functions
More information1 ode.mcd. Find solution to ODE dy/dx=f(x,y). Instructor: Nam Sun Wang
Fin solution to ODE /=f(). Instructor: Nam Sun Wang oe.mc Backgroun. Wen a sstem canges wit time or wit location, a set of ifferential equations tat contains erivative terms "/" escribe suc a namic sstem.
More information5. (a) Find the slope of the tangent line to the parabola y = x + 2x
MATH 141 090 Homework Solutions Fall 00 Section.6: Pages 148 150 3. Consider te slope of te given curve at eac of te five points sown (see text for figure). List tese five slopes in decreasing order and
More informationChapter 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 information0.1 Differentiation Rules
0.1 Differentiation Rules From our previous work we ve seen tat it can be quite a task to calculate te erivative of an arbitrary function. Just working wit a secon-orer polynomial tings get pretty complicate
More informationHonors Calculus Midterm Review Packet
Name Date Period Honors Calculus Midterm Review Packet TOPICS THAT WILL APPEAR ON THE EXAM Capter Capter Capter (Sections. to.6) STRUCTURE OF THE EXAM Part No Calculators Miture o multiple-coice, matcing,
More informationSECTION 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 informationTutorial 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 informationx 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 informationTime (hours) Morphine sulfate (mg)
Mat Xa Fall 2002 Review Notes Limits and Definition of Derivative Important Information: 1 According to te most recent information from te Registrar, te Xa final exam will be eld from 9:15 am to 12:15
More informationSection 2: The Derivative Definition of the Derivative
Capter 2 Te Derivative Applied Calculus 80 Section 2: Te Derivative Definition of te Derivative Suppose we drop a tomato from te top of a 00 foot building and time its fall. Time (sec) Heigt (ft) 0.0 00
More informationINTRODUCTION AND MATHEMATICAL CONCEPTS
INTODUCTION ND MTHEMTICL CONCEPTS PEVIEW Tis capter introduces you to te basic matematical tools for doing pysics. You will study units and converting between units, te trigonometric relationsips of sine,
More information2.3 More Differentiation Patterns
144 te derivative 2.3 More Differentiation Patterns Polynomials are very useful, but tey are not te only functions we need. Tis section uses te ideas of te two previous sections to develop tecniques for
More informationPreliminary Questions 1. Which of the lines in Figure 10 are tangent to the curve? B C FIGURE 10
3 DIFFERENTIATION 3. Definition of te Derivative Preliminar Questions. Wic of te lines in Figure 0 are tangent to te curve? A D B C FIGURE 0 Lines B an D are tangent to te curve.. Wat are te two was of
More informationExcerpt from "Calculus" 2013 AoPS Inc.
Excerpt from "Calculus" 03 AoPS Inc. Te term related rates refers to two quantities tat are dependent on eac oter and tat are canging over time. We can use te dependent relationsip between te quantities
More informationHOMEWORK HELP 2 FOR MATH 151
HOMEWORK HELP 2 FOR MATH 151 Here we go; te second round of omework elp. If tere are oters you would like to see, let me know! 2.4, 43 and 44 At wat points are te functions f(x) and g(x) = xf(x)continuous,
More informationMA119-A Applied Calculus for Business Fall Homework 4 Solutions Due 9/29/ :30AM
MA9-A Applied Calculus for Business 006 Fall Homework Solutions Due 9/9/006 0:0AM. #0 Find te it 5 0 + +.. #8 Find te it. #6 Find te it 5 0 + + = (0) 5 0 (0) + (0) + =.!! r + +. r s r + + = () + 0 () +
More informationMATH 111 CHAPTER 2 (sec )
MATH CHAPTER (sec -0) Terms to know: function, te domain and range of te function, vertical line test, even and odd functions, rational power function, vertical and orizontal sifts of a function, reflection
More informationThe derivative function
Roberto s Notes on Differential Calculus Capter : Definition of derivative Section Te derivative function Wat you need to know already: f is at a point on its grap and ow to compute it. Wat te derivative
More information1. (a) 3. (a) 4 3 (b) (a) t = 5: 9. (a) = 11. (a) The equation of the line through P = (2, 3) and Q = (8, 11) is y 3 = 8 6
A Answers Important Note about Precision of Answers: In many of te problems in tis book you are required to read information from a grap and to calculate wit tat information. You sould take reasonable
More informationChapter 1 Functions and Graphs. Section 1.5 = = = 4. Check Point Exercises The slope of the line y = 3x+ 1 is 3.
Capter Functions and Graps Section. Ceck Point Exercises. Te slope of te line y x+ is. y y m( x x y ( x ( y ( x+ point-slope y x+ 6 y x+ slope-intercept. a. Write te equation in slope-intercept form: x+
More informationCalculus I, Fall Solutions to Review Problems II
Calculus I, Fall 202 - Solutions to Review Problems II. Find te following limits. tan a. lim 0. sin 2 b. lim 0 sin 3. tan( + π/4) c. lim 0. cos 2 d. lim 0. a. From tan = sin, we ave cos tan = sin cos =
More informationUsing the definition of the derivative of a function is quite tedious. f (x + h) f (x)
Derivative Rules Using te efinition of te erivative of a function is quite teious. Let s prove some sortcuts tat we can use. Recall tat te efinition of erivative is: Given any number x for wic te limit
More informationf a h f a h h lim lim
Te Derivative Te derivative of a function f at a (denoted f a) is f a if tis it exists. An alternative way of defining f a is f a x a fa fa fx fa x a Note tat te tangent line to te grap of f at te point
More informationFor Thought. 2.1 Exercises 80 CHAPTER 2 FUNCTIONS AND GRAPHS
Precalculus Functions and Graps 4t Edition Dugopolski SOLUTIONS MANUAL Full download at: ttps://testbankreal.com/download/precalculus-functions-and-graps-4t-editiondugopolski-solutions-manual/ Precalculus
More information1. AB Calculus Introduction
1. AB Calculus Introduction Before we get into wat calculus is, ere are several eamples of wat you could do BC (before calculus) and wat you will be able to do at te end of tis course. Eample 1: On April
More informationMAT 1800 FINAL EXAM HOMEWORK
MAT 800 FINAL EXAM HOMEWORK Read te directions to eac problem careully ALL WORK MUST BE SHOWN DO NOT USE A CALCULATOR Problems come rom old inal eams (SS4, W4, F, SS, W) Solving Equations: Let 5 Find all
More informationMATH2231-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 informationSECTION 3.2: DERIVATIVE FUNCTIONS and DIFFERENTIABILITY
(Section 3.2: Derivative Functions and Differentiability) 3.2.1 SECTION 3.2: DERIVATIVE FUNCTIONS and DIFFERENTIABILITY LEARNING OBJECTIVES Know, understand, and apply te Limit Definition of te Derivative
More information1. Which one of the following expressions is not equal to all the others? 1 C. 1 D. 25x. 2. Simplify this expression as much as possible.
004 Algebra Pretest answers and scoring Part A. Multiple coice questions. Directions: Circle te letter ( A, B, C, D, or E ) net to te correct answer. points eac, no partial credit. Wic one of te following
More information6.2 TRIGONOMETRY OF RIGHT TRIANGLES
8 CHAPTER 6 Trigonometric Functions: Rigt Triangle Approac 6. TRIGONOMETRY OF RIGHT TRIANGLES Trigonometric Ratios Special Triangles; Calculators Applications of Trigonometry of Rigt Triangles In tis section
More informationChapter. Differentiation: Basic Concepts. 1. The Derivative: Slope and Rates. 2. Techniques of Differentiation. 3. The Product and Quotient Rules
Differentiation: Basic Concepts Capter 1. Te Derivative: Slope and Rates 2. Tecniques of Differentiation 3. Te Product and Quotient Rules 4. Marginal Analsis: Approimation b Increments 5. Te Cain Rule
More informationSection 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 informationMath 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 informationCHAPTER 2 Functions and Their Graphs
CHAPTER Functions and Teir Graps Section. Linear Equations in Two Variables............ 9 Section. Functions......................... 0 Section. Analzing Graps of Functions............. Section. A Librar
More informationAntiderivatives and Indefinite Integration
60_00.q //0 : PM Page 8 8 CHAPTER Integration Section. EXPLORATION Fining Antierivatives For each erivative, escribe the original function F. a. F b. F c. F. F e. F f. F cos What strateg i ou use to fin
More informationMATH 3208 MIDTERM REVIEW. (B) {x 4 x 5 ; x ʀ} (D) {x x ʀ} Use the given functions to answer questions # 3 5. determine the value of h(7).
MATH 08 MIDTERM REVIEW. If () = (f + g)() wat is te domain of () { 5 4 ; ʀ} { 4 4 ; ʀ} { 4 5 ; ʀ} { ʀ}. Given p() = and g() = wic function represents k() k() = p() g() + + Use te given functions to answer
More information1 Limits and Continuity
1 Limits and Continuity 1.0 Tangent Lines, Velocities, Growt In tion 0.2, we estimated te slope of a line tangent to te grap of a function at a point. At te end of tion 0.3, we constructed a new function
More informationSection 3: The Derivative Definition of the Derivative
Capter 2 Te Derivative Business Calculus 85 Section 3: Te Derivative Definition of te Derivative Returning to te tangent slope problem from te first section, let's look at te problem of finding te slope
More informationAverage Rate of Change
Te Derivative Tis can be tougt of as an attempt to draw a parallel (pysically and metaporically) between a line and a curve, applying te concept of slope to someting tat isn't actually straigt. Te slope
More informationTable 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 informationy = 3 2 x 3. The slope of this line is 3 and its y-intercept is (0, 3). For every two units to the right, the line rises three units vertically.
Mat 2 - Calculus for Management and Social Science. Understanding te basics of lines in te -plane is crucial to te stud of calculus. Notes Recall tat te and -intercepts of a line are were te line meets
More informationClick here to see an animation of the derivative
Differentiation Massoud Malek Derivative Te concept of derivative is at te core of Calculus; It is a very powerful tool for understanding te beavior of matematical functions. It allows us to optimize functions,
More informationMath 102 TEST CHAPTERS 3 & 4 Solutions & Comments Fall 2006
Mat 102 TEST CHAPTERS 3 & 4 Solutions & Comments Fall 2006 f(x+) f(x) 10 1. For f(x) = x 2 + 2x 5, find ))))))))) and simplify completely. NOTE: **f(x+) is NOT f(x)+! f(x+) f(x) (x+) 2 + 2(x+) 5 ( x 2
More informationCalculus 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 informationINTRODUCTION AND MATHEMATICAL CONCEPTS
Capter 1 INTRODUCTION ND MTHEMTICL CONCEPTS PREVIEW Tis capter introduces you to te basic matematical tools for doing pysics. You will study units and converting between units, te trigonometric relationsips
More informationLines, Conics, Tangents, Limits and the Derivative
Lines, Conics, Tangents, Limits and te Derivative Te Straigt Line An two points on te (,) plane wen joined form a line segment. If te line segment is etended beond te two points ten it is called a straigt
More information