2.8 The Derivative as a Function

Size: px
Start display at page:

Download "2.8 The Derivative as a Function"

Transcription

1 SECTION 2.8 THE DERIVATIVEASA FUNCTION D The Derivative as a Functin 1. It appears that I is an dd functin, s l' will be an even functin- that is, t ' (-a) = l'(a). (a) l'(- 3) ~ 1.5 (b ) 1' ( - 2 ) ~1 (c) 1'(- 1) ~ 0 (d) 1'(0) ~ - 4 (e) 1' (1) ~ 0 (f) 1' (2) ~ 1 (g) l'(3) ~ Nte: Yur answers ma var depending n ur estimates. B estimating the slpes ftangent lines n the graph f I, it appears that (a) l'(0) ~ -3 (b) 1'(1) ~ 0 (c) 1'(2) ~ 1.5 ( d) 1'(3 ) ~2 (e) 1' (4) ~ 0 (t) t ' (5) ~ (a)' = II, since frm left t right, the slpes f the tangent s t graph (a) start ut negative, becme 0, then psitive, then 0, then negative again. The actual functin values in graph II fllw the same pattern. (b)' = IV, since frm left t right, the slpes f the tangents t graph (b) start ut at a fied psitive quantit, then suddenl becme negative, then psitive again. The discntinuities in graph IV indicate sudden changes in the slpes f the tangents. (c)' = l, since the slpes fthe tangents t graph (c) are negative fr < 0 and psitive fr > 0, as are the functin values f graph 1. (d)' = III, since frm left t right, the slpes f the tangents t graph (d) are psitive, then 0, then negative, then 0, then psitive, then 0, then negative again, and the functin values in graph III fllw the same pattern. Hints fr Eercises 4-11: First plt -intercepts nthe graph f l' fran hrizntaltangents n thegraph f I. Lkfr an crnersnthe graph f I - therewill be a discntinuit n the graph f1'. On an intervalwherei has a tangentwith psitive (rnegative) slpe, the graph f l' will be psitive(r negative). If the graph fthe functin is linear, the graph fl' will be a hrizntal line.

2 130 D CHAPTER 2 LIMITS AND DERIVATIVES i i 9. i i' 0- i' i i' ~L 12. The slpes f the tangent lines n the graph f == P (t) are alwas psitive, s the -values f == P/(t) are alwas psitive. These values start ut relativel small and keep increasing, reaching a maimum at abut t == 6. Then the -values f == P/(t) decrease and get clse t zer. The =P'(t) graph f p/ tells us that the east culture grws mst rapidl after 6 hurs t and then the grwth rate declines. 13. It appears that there are hrizntal tangents n the graph f M fr t == 1963 and t == Thus, there are zers fr thse values f t n the graph f M'. The derivative is negative fr the ears 1963 t =M'(t) See Figure 1 in Sectin 3.3.

3 SECTION 2.8 THE DERIVATIVE ASA FUNCTION D = f() = ln = f'() The slpe at 0 appears t be 1 and the slpe at 1 appears t be 2.7. As decreases, the slpe gets clser t O. Since the graphs are s similar, we might guess that f' () = e", As increases tward 1, f' () decreases frm ver large numbers t 1. As becmes large, f' () gets clser t O. As a guess, f'(x) = 1/ 2 r f'(x) = l/ makes sense. 17. (a) B zming in, we estimate that f' (0) = 0, f' (~) = 1, f' (1) = 2, 2.5 and f' (2) = 4. (b) B smmetr, f'(-x) = _f'(x). S f'(-~) = -1, f'(-l) = -2, andf'(-2) = -4. (c) It appears that f'(x) is twice the value f, s we guess that f'(x) = 2. (d) j'() = lim f( + h) - f() = lim ( + h? - 2 h--+o h h--+o h = lim ( + 2h + h ) - = lim 2h + h 2 = lim h(2 + h) = lim (2:; + h) = 2 h--+o h n-:«h h--+o h h--+o 18. (a) B zming in, we estimate that f'(o) = 0, f' (~) ~ 0.75, (b) B smmetr, f' (-) = f' (). S f' (-~) ~ 0.75, f' (1) ~ 3, f' (2) ~ 12, and f' (3) ~ 27. f'( -1) ~ 3, I'!-2) ~ 12, and f'( -3) ~ 27. (c) (d) Since f' (0) = 0, it appears that f' ma have the frm f' () = a 2 Using f' (1) = 3, we have a = 3, s f' () = h (e) j'() = lim f( + h) - f() = lim ( + h? - 3 = lim ( h + h ) - h--+o h u:«h h--+o h 2h _ r 3 + 3h + h _ li h(3 + 3h + h ) _ r ( h + h 2 ) h~ h - h~ h - h~ X X - X

4 132 D CHAPTER 2 LIMITS AND DERIVATIVES 19. j'() = lim f( + h) - f() = lim [~( + h) - ~] - G - ~) = lim ~ + ~h - ~ - ~ + ~ h h h lh = lim L = lim 1 = 1 h 2 2 Dmain f f = dmain f f' = JR. 20. f'(x) = lim f(+h)-f() = lim [m(+h)+bj-(m+b) = lim m+mh+b-m-b h h h mh li = 1Im-= Imm=m h Dmain f f = dmain f f' = JR. 2) '( ). f(t + h) - f(t). [5(t + h) - 9(t + h)2j - (5t - 9t 21. f t = lim h = Iim h 2) = lim 5t + 5h - 9(t 2 + 2th + h - 5t + 9t = lim 5t + 5h - 9t - 18th - 9h - 5t + 9t h h 2 = lim 5h - 18th - 9h = lim h(5-18t - 9h) = lim (5 _ 18t - 9h) = 5-18t h h Dmain f f = dmain f f' = JR. '(). f( + h) - f(). [1.5( + h)2 - ( + h) + 3.7J - ( X + 3.7) 22. f = lim h = lim h = lim h + 1.5h 2 - X - h X = lim 3h + 1.5h 2 - h h h = lim ( h - 1) = 3-1 Dmain f f = dmain f f' = JR. '(). f( + h) - f(). [( + h)3-3( + h) + 5J - ( ) 23. f = lim h = lim h ( h + 3h 2 + h - 3-3h + 5) - ( ). 3 2 h + 3h 2 + h 3-3h = lim = lim h h h( h + h 2-3) 2 2 = lim h = lim ( h + h - 3) = 3-3 Dmain f f = dmain f f' = JR. 24. j'() = lim f( + h) - f() = lim ( + h + VX+h) - ( + v) h h = lim (!!. + VX+h - v.vx+h + v) = lim [1 + ( + h) - ] h h vi + h + VX h (vi + h + VX) = lim (1 + 1 ) = = 1 + _1_ vi + h + VX VX + VX 2 VX Dmain f f = [0,00), dmain f f' = (0,00).

5 SECTION 2.8 THE DERIVATIVE AS A FUNCTION D 133 '() -1' g(+h)-g() -1' V1+2(+h)-V1+ 2 [V1+2(X+h)+V1+2X] m - lifl ~ h h h h J1+2(+h)+V1+ 2 == lim ( h) - (1 + 2) == lim 2 == 2 == 1 h--->o h [VI+ 2( + h) + VI + 2X] h--->o VI h + VI VI + 2 VI + 2 Dmain f 9 == [- ~,(0),dmain f g' == (- ~,(0), 3+(+h) j'() = lim f( + h) - f() = lim 1-3( + h) -~ = lim (3 + + h)(1-3) - (3 + )( h) h h h h h h(l - 3-3h)(1-3), ( h - 3h) - ( h h) == lim --: ~-' ~ h h(l - 3-3h)(1-3) == lim 10h == lim h h(l - 3-3h)(1-3) h ( h)(1-3) (1-3X)2 Dmain f f == dmain f f' == (-00, ~) U (~, (0), 4(t + h) 4t 4(t + h) (t + 1) - 4t (t + h + 1) 27. G'(t) = lim G(t + h) - G(t) = lim (t + h) t+1 = lim (t + h + 1)(t + 1) h h h h h h, (4t 2 + 4ht + 4t + 4h) - (4t 2 + 4ht + 4t), 4h == lim == lim h h(t + h + l)(t + 1) h h(t + h + l)(t + 1), 4 4 == 11m----- h (t + h + l)(t + 1) (t + 1)2 Dmain fg == dmain fg' == (-00, -1) U (-1, (0), 1 1 Vi-vt+h 28 '(t) == r g(t+ h) - g(t) == li ~ - 7t == lim vt+h Vi == lim (Vi - vt+h, Vi + vt+h). 9 h~ h h~ h h h h h vt + h Vi Vi + vt + h == lim t - (t + h) == lim - h == lim -1 h h vt + h Vi (Vi + vt + h) h h vt + h Vi (Vi + vt + h) h vt + h Vi (Vi + vt + h) Vi Vi (Vi + Vi) t (2 Vi) - 2t 3 2 / Dmain f 9 == dmain f g' == (0, 00). Dmain f f == dmain f f' == JR,

6 134 0 CHAPTER 2 LIMITSAND DERIVATIVES 30. (a) Y=h =.)-( - 6) =.) ) - 1 (b) Nte that the third graph in part (a) has small negative values fr its slpe, 1' ; but as -+ 6-, l' See the graph in part (d). ( c ) f ' ( ) = li f ( + h) h~ h = lim )6 u-:» f ( ) ( + h) h!i3=x [)6- ( + h) +!i3=x ] )6 ( + h) +!i3=x - 1 (d) = lim [6 - ( + h)] (6 - ) h ---> O h [)6 ( -i- h) +!i3=x] = lim -;-;----r;;===-=;h~~==\ t.-,» h( '6 - h +!i3=x) -1 = lim ----;,:= = ::::;=--:-;:;:;=:= IHO '6 - - h +!i3=x - 1 2!i3=X Dmain f f = (- 00,6 ], dmain f l' = (- 00,6). 31. (a) 1' ( ) = lim f ( + h) h ---> O h f ( ) = lim [( + h)4 + 2( + h)] u-:«h ( 4 + 2). 4 3 h + 6 2h2 + 4h 3 + h 4 + 2h. h( h + 4h 2 + h 3 + 2) = lim = lim --' , ' h --->O h h ---> O h = lim ( h + 4h 2 + h 3 + 2) = h--+ O (b) Ntice that l'() = 0 when f has a hrizntal tangent, l'() is psitive when the tangents have psitive slpe, and l'() is negative when the tangents have negat ive slpe. - 2 f----\ i"' : (a) 1' (t) = lim f(t + h) - f (t) = lim [(t + h)2 - vt+h] - (e - 0) h ---> O h h--->o h 2 e + 2ht+ h2 - vt+h - e +0 I' = (2ht +h 0 -vt+h) I Hfl. = lhl + -'------,----'- h ---> O h h --->O h h = lim (h(2t + h) vt+h. 0 + vt+h) h ---> O h h 0 + 't + h = lim (2t + h + t - (t + h) ) = lim (2t + h + - h ) h--->o h(0 + 't + h ) h ---> O h(0 + 't + h ) = lim (2t + h + r: - ~) = 2t _ 1;; h ---> O V t + V t + h 2 V t

7 SECTION 2.8 THE DERIVATIVE ASA FUNCTION (b) Ntice that 1"' (t) = 0 when f has a hrizntal tangent, 1"' (t ) is psitive when the tangents have psitive slpe, and J'(t) is negative when the tangents have negative slpe f~ (a) V ' (t) is the rate at which the unemplment rate is changing with respect t time. Its units are percent per ear.. V(t + h ) - V( t) Vet + h) - V(t) (b) T find Vi (t), we use lim h ~ I fr small values f h. h_ O t F,'1 993' Vi (1993) ~ V (1994) - V( 1993) = = Fr 1994: We estimate V i(1994) b using h = - 1 and h = 1, and then average the tw results t btain a final estimate. h = - 1 => V '( 1994) ~ V( 1993) - V( 1994) = = ' ' h = 1 V '( 1994) ~ V( 1995) - V( 1994) = = => S we estimate that VI (1994) ~ ~ [(- 0.80) + (- 0.50)] = t V'( t) (a) p i(t ) is the rate at which the percentage f Americans under the age f 18 is changing with respect t time. Its units are percent per ear (%jr). I. P (t + h) - P (t ) P (t + h) - P( t) (b) T find P (t), we use Inn h ~ h fr small values f h. h _ O F ' 1950 P I (1950) ~ P (1960) - P (1950) = = _ Fr 1960 : We estimate p i(1960) b using h = - 10 and h = 10, and then average the tw results t btain a final estimate. h = -10 P I (1960) ~ P (1950) - P (1960) = = 0.46 => h = 10 => P I (1960) ~ P (1~;~6 =~9~~60 ) = 34.0 ~ 35.7 = S we estimate that pi (1960 ) ~ ~ [ (- 0.17)] = t P I(t )

8 136 D CHAPTER 2 LIMITS AND DERIVATIVES (c) P(t) P'(t) (d) We culd get mre accurate values fr p' (t) b btaining data fr the mid-decade ears 1955, 1965, 1975, 1985, and f is nt differentiable at == -4, because the graph has a cmer there, and at == 0, because there is a discntinuit there. 36. f is nt differentiable at == 0, because there is a discntinuit there, and at == 3, because the graph has a vertical tangent there. 37. f is nt differentiable at == -1, because the graph has a vertical tangent there, and at == 4, because the graph has a cmer there. 38. f is nt differentiable at == -1, because there is a discntinuit there, and at == 2, because the graph has a cmer there. 39. As we zm in tward (-1, 0), the curve appears mre and mre like a 2 straight line, s f () == + M is differentiable at == -1. But n matter hw much we zm in tward the rigin, the curve desn't straighten ut-we can't eliminate the sharp pint (a cusp). S f is nt differentiable at == :::lII~--+---~ As we zm in tward (0, 1), the curve appears mre and mre like a straight line, s f is differentiable at == O. But n matter hw much we zm in tward (1,0) r (-1,0), the curve desn't straighten ut-we can't eliminate the sharp pint (a cusp). S f is nt differentiable at == ±1. -2 t t------f f a == f, b == i', c == [", We can see this because where a has a hrizntal tangent, b == 0, and where b has a hrizntal tangent, c == 0. We can immediatel see that c can be neither f nr f', since at the pints where c has a hrizntal tangent, neither a nr b is equal t 0.

9 SECTION 2.8 THE DE RIVATIVEASA FUN CTION D Where d has hrizntal tangents, nl c is 0, s d' = c. c has negative tangents fr < 0 and b is the nl graph that is negative fr < 0, s c' = b. b has psitive tangents n IR (ecept at = 0), and the nl graph that is psit ive n the same dmain is a, s b' = a. We cnclude that d = f, c = 1', b = f",and a = j'", 43. We can immediate l see that a is the graph fthe acceleratin functin, since at the pints where a has a hrizntal tangent, neither c nr b is equal t O. Net, we nte that a = 0 at the pint where b has a hriznta l tangent, s b must be the graph f the velcit functin, and hence, b' = a. We cnclude that c is the graph fthe psitin functin. 44. a must be the jerk since nne fthe graphs are 0 at its high and lw pints. a is 0 where b has a maimum, s b' = a. b is 0 where c has a maimum, s c' = b. We cnclude that d is the psitin functin, c is the velcit, b is the acceleratin, and a is the jerk. 2) ' ( ). f ( + h ) - f ( ). [1 + 4( + h ) - ( + h )2] - ( f = Iim h = lim I h ~O h ~O L = lim ( h h - h ) - ( ) = lim 4h - 2h - h = lim (4 _ 2 _ h ) = 4 _ 2 h~ O h h ~ O h h~ O 1"( ) = lim 1' ( + h ) - 1'( ) = lim [4-2( + h )] - (4-2 ) = lim - 2h = lim (- 2) = - 2 h ~ O h h~ O h h ~ O h h ~O We see frm the graph that ur answers are reasnab le because the graph f - 6 t /t------'l:--\-->--+--i 10 l' is that f a linear functin and the graph f I" is that f a cnstant fn functin '( ) = lim f ( + hl - f ( ) = lim + h = lim - ( + h ) = lim - h = lim - 1 h~ O L h~ O h h ~O h( + h ) h ~ O h ( + h ) u-:» ( + h ) 1"( ) = lim 1' ( + h ) - 1' ( ) = lim - (: h? - ( - ~ ) h~ O h h~ O h = lim 2 + h h ~O 2 ( + h)2 2 2 f =-- We see frm the graph that ur answers are reasnable because the graph f l' is that f an even functin and is negative fr all =I- 0, and the graph f 1" is that f an dd functin (negative fr < 0 and psitive fr > 0). - 5

10 138 D CHAPTER 2 LIMITS AND DE RIVATI VES '(). f ( + h ) - f( ). [2( + h? - ( + h? ] - (2 2-3 ) 47. f = lim } = lim } h ~O L h ~ O L 2 2) = lim h (4 + 2h - 3-3h - h = lim (4 + 2h _ 3 2 _ 3h _ h2) = 4 _ 3 2 u-: «h h ~O 2 "(). 1'( +h) -1'( ). [4(+ h ) - 3( + h )2] - (4-3 ). h(4-6 -3h) f = Inn = Inn = lim ----'------:----' h ~O h h ~ O h h ~O h = lim ( h ) = 4-6 h ---+ O j"'( ) = lim j"( + h ) - j"() = lim [4-6( + h )] - (4-6) = lim - 6h = lim (- 6) = - 6 h - >O h h ~O h h~ O h h ~ O f (4)(X) = lim j"'( + h) - j"'( ) = lim (-6) = lim Q = lim (0) = 0 h ~ O h h ~O h h~ O h h~ O f\ If" - 4 ;~ 6 I f' 1-7 \\\ f ill I. The graphs are cnsis tent with the gemetric interpretatins f the derivatives because l' has zers where f has a lcal minimum and a lcal maimum, f" has a zer where l' has a lcal maimum, and f"' is a cnstant functin equal t the slpe f f". 48. (a) Since we estimate the velcit t be a maimum at t = 10, the acceleratin is 0 at t = 10. v 50 a (b) Drawing a tangent line at t = 10 nthe graph f a, a appears t decrease b 10 ft/s 2 ver a perid f 20 s..> S at t = 10 s, the jerk is apprimatel - 10/ 20 = (ft/s 2) /s r ft /s". 49. (a) Nte that we have factred - a as the difference f tw cubes in the third step '(a) = lim f ( ) - f(a) = lim / - a / = lim X / - a / ~ a X - a ~a X - a ~ a (X 1 / 3 - a 1 / 3) ( 2 / / 3 a l / 3 + a 2 / 3) = lim 1 = _ 1_ r la- 2 / 3 ~ a X2/3 + 1 / 3a l / 3 + a2/3 3a 2/3 3 (b) 1'(0 ) = lim f (O+ h~ - f(o ) = lim ijhh- 0 = lim h:/ 3 ' This functin increases withu t bund, s the limit des nt h ---+ O h ---+ O h - O eist, and theref re 1'(0) des nt eist. (c) lim 1'() I = lim ;/3= 00 and f is cntinuus at = 0 (rt functin), s f has a vertical tangent at = O. ---+O ---+ O (a) g'(o ) = lim g() - g(o ) = lim X / - 0 = lim 1/ 3 ' which des nt eist O X - 0 -to X ---+O X

11 SECTION 2.8 THE DERIVATIVE AS A FUNCTION D 139 () () 2/3 2/3. (X 1/3 _ a 1/3)(1/3 + a1/3) (b) g'(a) = lim 9-9 a = lim - a = lim ~ -.:...-: :...- X-7a X - a X-7a X - a X-7a (X 1/3 a1/3)(2/3 + 1/3a1/3 + a2/3) 1/3 + X a 1 / 3 2a 1 / 3 2 = lim - - r ~3a-l/3 X-7a X2/3 + 1/3a1/3 + a2/3-3a2/3-3a1/3 (c) g() = X 2/3 is cntinuus at = 0 and (d) 0.4 lim Ig'()I = lim -----;-/3 = 00. This shws that X-7Q X-7Q 3[l 9 has a vertical tangent line at = ' '" 0.2 X - 6 if - 6 ~ 6 { - 6 if ~ I () = I - 61 = { -( - 6) if - 6 < if < 6 S the right-hand limit is lim I () - 1(6) lim I - 61 ;; 0 = lim - 6 = lim 1 = 1, and the left-hand limit X-76+ X - 6 X X-76+ X - 6 X-76+ is lim I() - 1(6) = lim I - 6] - 0 = lim 6 - = lim (-1) = -1. Since these limits are nt equal, X-76- X - 6 X-76- X - 6 X-76- X - 6 X-76 I' (6) = lim I() - 1(6) des nt eist and I is nt differentiable at 6. X-76 X - 6 = f'() 1 if > 6 Hwever, a frmula fr I' is I' () =. 6 { -1 If < 6 Anther wa fwriting the frmula is I'() = I I () = [] is nt cntinuus at an integer n, s I is nt differentiable at n b the cntrapsitive ftherem 4. If a is nt an integer, then I is cnstant n an pen interval cntaining a, s I/(a) = O. Thus, -1 I/() = 0, nt an integer. if.> (a) I() = Il = _ 2 (b) Since I() = 2 fr ~ 0, we have I' () = 2 fr > O. { if < 0 [See Eercise 17(d).] Similarl; since I() = - 2 fr < 0, 2 we have I'() = -2 fr < O. At = 0, we have 1 /(0) = lim I() - 1(0) = lim Il = lim Il = O. X-7Q X - 0 X-7Q X X-7Q S I is differentiable at O. Thus, I is differentiable fr all. 2 if > O} (c) Frm part tbjwe have j'tz) =. - =2Il. { -2 If < 0

12 140 D CHAPTER 2 LIMITS AND DERIVATIVES 54. (a) f~(4) = lim f(4 + h) - f(4) = lim 5 - (4 + h) - 1 lim -h = -1 and h----+o- h h----+o- h h----+o- h 1-1 f~(4)= lim f(4+h)-f(4) = lim 5-(4+h) = lim l-(l-h) lim _1_=1. h----+o+ h h----+o+ h h----+o+ h(l - h) h----+o+ 1 - h (b) Y At 4 we have lim f() = lim (5 - ) = 1 and = f() =5 lim f() = lim _1_ = 1, s lim f() = 1 = f(4) and f is X cntinuus at 4. Since f(5) is nt defined, f is discntinuus at 5. 0 if < 0 (c) f () = 5 - if 0 < < 4 { 1/(5 - ) if 2: 4 These epressins shw that f is cntinuus n the intervals (-00,0), (0,4), (4,5) and (5,00). Since lim f () = lim (5 - ) = 5 -I- 0 = lim f (), lim f () des nt eist, s f is discntinuus (and therefre nt ----+O O O differentiable) at. (d) Frm (a), f is nt differentiable at 4 since [': (4) -I- ['; (4), and frm (c), f is nt differentiable at 0 r (a) If f is even, then fl(-x) = lim f(-+h)-f(-) = lim f[-(-h)]-f(-) n-:«h h----+o h = lim f( - h) - f() = _ lim f( - h) - f() [let Ll = -h] h----+o h h----+-h Therefre, fl is dd. = _ lim f ( + Ll) - f () = - fl () ~----+O Ll (b) If f is dd, then fl(-x) = lim f(-+h)-f(-) = lim f[-(-h)]-f(-) h----+o h h----+o h = lim - f( - h) + f() = lim f( - h) - f() [let Ll = -h] h----+o h h----+-h Therefre, fl is even. = lim f(+ll)-f() =fl() ~----+O Ll 56. (a) T (b) The initial temperature f the water is clse t rm temperature because f the water that was in the pipes. When the water frm the ht water tank starts cming ut, dt/ dt is large and psitive as T increases t the temperature f the water

13 CHAPTER 2 REVIEW D 141 in the tank. In the net phase, dt/ dt = 0 as the water cmes ut at a cnstant, high temperature. After sme time, dt/ dt becmes small and negative as the cntents f the ht water tank are ehausted. Finall, when the ht water has run ut, dt/ dt is nce again 0 as the water maintains its (cld) temperature. (c) dt/dt In the right triangle in the diagram, let ~ be the side ppsite angle and ~ the side adjacent angle. Then the slpe f the tangent line f! is m = D../ D.. = tan. Nte that 0 < < ~. We knw (see Eercise 17) that the derivative f f () = 2 is f' () = 2. S the slpe f the tangent t the curve at the pint (1,1) is 2. Thus, is the angle between 0 and ~ whse tangent is 2; that is, = tan-1 2 ~ Review CONCEPT CHECK 1. (a) lim f() = L: See Definitin and Figures 1 and 2 in Sectin a (b) lim f () = L: See the paragraph after Definitin and Figure 9(b) in Sectin a+ (c) lim f() = L: See Definitin and Figure 9(a) in Sectin a (d) lim f () = 00: See Definitin and Figure 12 in Sectin a (e) lim f() = L: See Definitin and Figure 2 in Sectin In general, the limit f a functin fails t eist when the functin des nt apprach a fied number. Fr each f the fllwing functins, the limit fails t eist at = 2. 2 L The left- and right-hand There is an There are an infinite limits are nt equal. infinite discntinuit. number f scillatins. =2 3. (a)-(g) See the statements f Limit Laws 1-6 and 11 in Sectin 2.3.

LHS Mathematics Department Honors Pre-Calculus Final Exam 2002 Answers

LHS Mathematics Department Honors Pre-Calculus Final Exam 2002 Answers LHS Mathematics Department Hnrs Pre-alculus Final Eam nswers Part Shrt Prblems The table at the right gives the ppulatin f Massachusetts ver the past several decades Using an epnential mdel, predict the

More information

ENGI 4430 Parametric Vector Functions Page 2-01

ENGI 4430 Parametric Vector Functions Page 2-01 ENGI 4430 Parametric Vectr Functins Page -01. Parametric Vectr Functins (cntinued) Any nn-zer vectr r can be decmpsed int its magnitude r and its directin: r rrˆ, where r r 0 Tangent Vectr: dx dy dz dr

More information

DINGWALL ACADEMY NATIONAL QUALIFICATIONS. Mathematics Higher Prelim Examination 2010/2011 Paper 1 Assessing Units 1 & 2.

DINGWALL ACADEMY NATIONAL QUALIFICATIONS. Mathematics Higher Prelim Examination 2010/2011 Paper 1 Assessing Units 1 & 2. INGWLL EMY Mathematics Higher Prelim Eaminatin 00/0 Paper ssessing Units & NTIONL QULIFITIONS Time allwed - hur 0 minutes Read carefull alculatrs ma NOT be used in this paper. Sectin - Questins - 0 (0

More information

Math 105: Review for Exam I - Solutions

Math 105: Review for Exam I - Solutions 1. Let f(x) = 3 + x + 5. Math 105: Review fr Exam I - Slutins (a) What is the natural dmain f f? [ 5, ), which means all reals greater than r equal t 5 (b) What is the range f f? [3, ), which means all

More information

Lim f (x) e. Find the largest possible domain and its discontinuity points. Why is it discontinuous at those points (if any)?

Lim f (x) e. Find the largest possible domain and its discontinuity points. Why is it discontinuous at those points (if any)? THESE ARE SAMPLE QUESTIONS FOR EACH OF THE STUDENT LEARNING OUTCOMES (SLO) SET FOR THIS COURSE. SLO 1: Understand and use the cncept f the limit f a functin i. Use prperties f limits and ther techniques,

More information

18. (a) S(t) = sin(0.5080t- 2.07) (b) ~oo. (c)

18. (a) S(t) = sin(0.5080t- 2.07) (b) ~oo. (c) Review Exercises fr Chapter P 5 1. (a) T =.985 x 10-p - 0.01p + 5.8p + 1.1 50 18. (a) S(t) = 5.7 + 5.7 sin(0.5080t-.07) ~ 0 110 150 (c) Fr T = 00 F, p,~ 8.9 lb/in.. (d) The mdel is based n data up t 100

More information

MODULE 1. e x + c. [You can t separate a demominator, but you can divide a single denominator into each numerator term] a + b a(a + b)+1 = a + b

MODULE 1. e x + c. [You can t separate a demominator, but you can divide a single denominator into each numerator term] a + b a(a + b)+1 = a + b . REVIEW OF SOME BASIC ALGEBRA MODULE () Slving Equatins Yu shuld be able t slve fr x: a + b = c a d + e x + c and get x = e(ba +) b(c a) d(ba +) c Cmmn mistakes and strategies:. a b + c a b + a c, but

More information

Thermodynamics Partial Outline of Topics

Thermodynamics Partial Outline of Topics Thermdynamics Partial Outline f Tpics I. The secnd law f thermdynamics addresses the issue f spntaneity and invlves a functin called entrpy (S): If a prcess is spntaneus, then Suniverse > 0 (2 nd Law!)

More information

[COLLEGE ALGEBRA EXAM I REVIEW TOPICS] ( u s e t h i s t o m a k e s u r e y o u a r e r e a d y )

[COLLEGE ALGEBRA EXAM I REVIEW TOPICS] ( u s e t h i s t o m a k e s u r e y o u a r e r e a d y ) (Abut the final) [COLLEGE ALGEBRA EXAM I REVIEW TOPICS] ( u s e t h i s t m a k e s u r e y u a r e r e a d y ) The department writes the final exam s I dn't really knw what's n it and I can't very well

More information

Lyapunov Stability Stability of Equilibrium Points

Lyapunov Stability Stability of Equilibrium Points Lyapunv Stability Stability f Equilibrium Pints 1. Stability f Equilibrium Pints - Definitins In this sectin we cnsider n-th rder nnlinear time varying cntinuus time (C) systems f the frm x = f ( t, x),

More information

Pages with the symbol indicate that a student should be prepared to complete items like these with or without a calculator. tan 2.

Pages with the symbol indicate that a student should be prepared to complete items like these with or without a calculator. tan 2. Semester Eam Review The semester A eaminatin fr Hnrs Precalculus cnsists f tw parts. Part 1 is selected respnse n which a calculatr will NOT be allwed. Part is shrt answer n which a calculatr will be allwed.

More information

Flipping Physics Lecture Notes: Simple Harmonic Motion Introduction via a Horizontal Mass-Spring System

Flipping Physics Lecture Notes: Simple Harmonic Motion Introduction via a Horizontal Mass-Spring System Flipping Physics Lecture Ntes: Simple Harmnic Mtin Intrductin via a Hrizntal Mass-Spring System A Hrizntal Mass-Spring System is where a mass is attached t a spring, riented hrizntally, and then placed

More information

Precalculus A. Semester Exam Review

Precalculus A. Semester Exam Review Precalculus A 015-016 MCPS 015 016 1 The semester A eaminatin fr Precalculus cnsists f tw parts. Part 1 is selected respnse n which a calculatr will NOT be allwed. Part is shrt answer n which a calculatr

More information

Flipping Physics Lecture Notes: Simple Harmonic Motion Introduction via a Horizontal Mass-Spring System

Flipping Physics Lecture Notes: Simple Harmonic Motion Introduction via a Horizontal Mass-Spring System Flipping Physics Lecture Ntes: Simple Harmnic Mtin Intrductin via a Hrizntal Mass-Spring System A Hrizntal Mass-Spring System is where a mass is attached t a spring, riented hrizntally, and then placed

More information

Higher. Specimen NAB Assessment

Higher. Specimen NAB Assessment hsn uknet Higher Mathematics UNIT Specimen NAB Assessment HSN50 This dcument was prduced speciall fr the HSNuknet website, and we require that an cpies r derivative wrks attribute the wrk t Higher Still

More information

4. Find a, b, and c. 6. Find x and y.

4. Find a, b, and c. 6. Find x and y. Grace Brethren Christian Schl Entering Trig/Analysis: Page f Summer Packet fr Students entering Trig/Analysis Review prblems frm Gemetry: Shw yur wrk!. Twice the cmplement f angle A is 35 less than the

More information

x x

x x Mdeling the Dynamics f Life: Calculus and Prbability fr Life Scientists Frederick R. Adler cfrederick R. Adler, Department f Mathematics and Department f Bilgy, University f Utah, Salt Lake City, Utah

More information

Homology groups of disks with holes

Homology groups of disks with holes Hmlgy grups f disks with hles THEOREM. Let p 1,, p k } be a sequence f distinct pints in the interir unit disk D n where n 2, and suppse that fr all j the sets E j Int D n are clsed, pairwise disjint subdisks.

More information

Section 5.8 Notes Page Exponential Growth and Decay Models; Newton s Law

Section 5.8 Notes Page Exponential Growth and Decay Models; Newton s Law Sectin 5.8 Ntes Page 1 5.8 Expnential Grwth and Decay Mdels; Newtn s Law There are many applicatins t expnential functins that we will fcus n in this sectin. First let s lk at the expnential mdel. Expnential

More information

DINGWALL ACADEMY NATIONAL QUALIFICATIONS. Mathematics Higher Prelim Examination 2009/2010 Paper 1 Assessing Units 1 & 2. Time allowed - 1 hour 30

DINGWALL ACADEMY NATIONAL QUALIFICATIONS. Mathematics Higher Prelim Examination 2009/2010 Paper 1 Assessing Units 1 & 2. Time allowed - 1 hour 30 INGWLL EMY Mathematics Higher Prelim Eaminatin 009/00 Paper ssessing Units & NTIONL QULIFITIONS Time allwed - hur 0 minutes Read carefull alculatrs ma NOT be used in this paper. Sectin - Questins - 0 (0

More information

Computational modeling techniques

Computational modeling techniques Cmputatinal mdeling techniques Lecture 2: Mdeling change. In Petre Department f IT, Åb Akademi http://users.ab.fi/ipetre/cmpmd/ Cntent f the lecture Basic paradigm f mdeling change Examples Linear dynamical

More information

Phys101 First Major-131 Zero Version Coordinator: Dr. A. A. Naqvi Wednesday, September 25, 2013 Page: 1

Phys101 First Major-131 Zero Version Coordinator: Dr. A. A. Naqvi Wednesday, September 25, 2013 Page: 1 Phys11 First Majr-11 Zer Versin Crdinatr: Dr. A. A. Naqvi Wednesday, September 5, 1 Page: 1 Q1. Cnsider tw unifrm slid spheres A and B made f the same material and having radii r A and r B, respectively.

More information

AP Physics Kinematic Wrap Up

AP Physics Kinematic Wrap Up AP Physics Kinematic Wrap Up S what d yu need t knw abut this mtin in tw-dimensin stuff t get a gd scre n the ld AP Physics Test? First ff, here are the equatins that yu ll have t wrk with: v v at x x

More information

Math 0310 Final Exam Review Problems

Math 0310 Final Exam Review Problems Math 0310 Final Exam Review Prblems Slve the fllwing equatins. 1. 4dd + 2 = 6 2. 2 3 h 5 = 7 3. 2 + (18 xx) + 2(xx 1) = 4(xx + 2) 8 4. 1 4 yy 3 4 = 1 2 yy + 1 5. 5.74aa + 9.28 = 2.24aa 5.42 Slve the fllwing

More information

Chapter 3 Kinematics in Two Dimensions; Vectors

Chapter 3 Kinematics in Two Dimensions; Vectors Chapter 3 Kinematics in Tw Dimensins; Vectrs Vectrs and Scalars Additin f Vectrs Graphical Methds (One and Tw- Dimensin) Multiplicatin f a Vectr b a Scalar Subtractin f Vectrs Graphical Methds Adding Vectrs

More information

Chapter Summary. Mathematical Induction Strong Induction Recursive Definitions Structural Induction Recursive Algorithms

Chapter Summary. Mathematical Induction Strong Induction Recursive Definitions Structural Induction Recursive Algorithms Chapter 5 1 Chapter Summary Mathematical Inductin Strng Inductin Recursive Definitins Structural Inductin Recursive Algrithms Sectin 5.1 3 Sectin Summary Mathematical Inductin Examples f Prf by Mathematical

More information

This section is primarily focused on tools to aid us in finding roots/zeros/ -intercepts of polynomials. Essentially, our focus turns to solving.

This section is primarily focused on tools to aid us in finding roots/zeros/ -intercepts of polynomials. Essentially, our focus turns to solving. Sectin 3.2: Many f yu WILL need t watch the crrespnding vides fr this sectin n MyOpenMath! This sectin is primarily fcused n tls t aid us in finding rts/zers/ -intercepts f plynmials. Essentially, ur fcus

More information

Exponential Functions, Growth and Decay

Exponential Functions, Growth and Decay Name..Class. Date. Expnential Functins, Grwth and Decay Essential questin: What are the characteristics f an expnential junctin? In an expnential functin, the variable is an expnent. The parent functin

More information

Kinetic Model Completeness

Kinetic Model Completeness 5.68J/10.652J Spring 2003 Lecture Ntes Tuesday April 15, 2003 Kinetic Mdel Cmpleteness We say a chemical kinetic mdel is cmplete fr a particular reactin cnditin when it cntains all the species and reactins

More information

Thermodynamics and Equilibrium

Thermodynamics and Equilibrium Thermdynamics and Equilibrium Thermdynamics Thermdynamics is the study f the relatinship between heat and ther frms f energy in a chemical r physical prcess. We intrduced the thermdynamic prperty f enthalpy,

More information

**DO NOT ONLY RELY ON THIS STUDY GUIDE!!!**

**DO NOT ONLY RELY ON THIS STUDY GUIDE!!!** Tpics lists: UV-Vis Absrbance Spectrscpy Lab & ChemActivity 3-6 (nly thrugh 4) I. UV-Vis Absrbance Spectrscpy Lab Beer s law Relates cncentratin f a chemical species in a slutin and the absrbance f that

More information

3. Classify the following Numbers (Counting (natural), Whole, Integers, Rational, Irrational)

3. Classify the following Numbers (Counting (natural), Whole, Integers, Rational, Irrational) After yu cmplete each cncept give yurself a rating 1. 15 5 2 (5 3) 2. 2 4-8 (2 5) 3. Classify the fllwing Numbers (Cunting (natural), Whle, Integers, Ratinal, Irratinal) a. 7 b. 2 3 c. 2 4. Are negative

More information

Plan o o. I(t) Divide problem into sub-problems Modify schematic and coordinate system (if needed) Write general equations

Plan o o. I(t) Divide problem into sub-problems Modify schematic and coordinate system (if needed) Write general equations STAPLE Physics 201 Name Final Exam May 14, 2013 This is a clsed bk examinatin but during the exam yu may refer t a 5 x7 nte card with wrds f wisdm yu have written n it. There is extra scratch paper available.

More information

Lecture 7: Damped and Driven Oscillations

Lecture 7: Damped and Driven Oscillations Lecture 7: Damped and Driven Oscillatins Last time, we fund fr underdamped scillatrs: βt x t = e A1 + A csω1t + i A1 A sinω1t A 1 and A are cmplex numbers, but ur answer must be real Implies that A 1 and

More information

CS 477/677 Analysis of Algorithms Fall 2007 Dr. George Bebis Course Project Due Date: 11/29/2007

CS 477/677 Analysis of Algorithms Fall 2007 Dr. George Bebis Course Project Due Date: 11/29/2007 CS 477/677 Analysis f Algrithms Fall 2007 Dr. Gerge Bebis Curse Prject Due Date: 11/29/2007 Part1: Cmparisn f Srting Algrithms (70% f the prject grade) The bjective f the first part f the assignment is

More information

Chapter 5: Diffusion (2)

Chapter 5: Diffusion (2) Chapter 5: Diffusin () ISSUES TO ADDRESS... Nn-steady state diffusin and Fick s nd Law Hw des diffusin depend n structure? Chapter 5-1 Class Eercise (1) Put a sugar cube inside a cup f pure water, rughly

More information

We can see from the graph above that the intersection is, i.e., [ ).

We can see from the graph above that the intersection is, i.e., [ ). MTH 111 Cllege Algebra Lecture Ntes July 2, 2014 Functin Arithmetic: With nt t much difficulty, we ntice that inputs f functins are numbers, and utputs f functins are numbers. S whatever we can d with

More information

Department of Economics, University of California, Davis Ecn 200C Micro Theory Professor Giacomo Bonanno. Insurance Markets

Department of Economics, University of California, Davis Ecn 200C Micro Theory Professor Giacomo Bonanno. Insurance Markets Department f Ecnmics, University f alifrnia, Davis Ecn 200 Micr Thery Prfessr Giacm Bnann Insurance Markets nsider an individual wh has an initial wealth f. ith sme prbability p he faces a lss f x (0

More information

Concept Category 2. Trigonometry & The Unit Circle

Concept Category 2. Trigonometry & The Unit Circle Cncept Categry 2 Trignmetry & The Unit Circle Skill Checklist Use special right triangles t express values f fr the six trig functins Evaluate sine csine and tangent using the unit circle Slve tw-step

More information

Higher Mathematics Booklet CONTENTS

Higher Mathematics Booklet CONTENTS Higher Mathematics Bklet CONTENTS Frmula List Item Pages The Straight Line Hmewrk The Straight Line Hmewrk Functins Hmewrk 3 Functins Hmewrk 4 Recurrence Relatins Hmewrk 5 Differentiatin Hmewrk 6 Differentiatin

More information

CHAPTER 24: INFERENCE IN REGRESSION. Chapter 24: Make inferences about the population from which the sample data came.

CHAPTER 24: INFERENCE IN REGRESSION. Chapter 24: Make inferences about the population from which the sample data came. MATH 1342 Ch. 24 April 25 and 27, 2013 Page 1 f 5 CHAPTER 24: INFERENCE IN REGRESSION Chapters 4 and 5: Relatinships between tw quantitative variables. Be able t Make a graph (scatterplt) Summarize the

More information

Pre-Calculus Individual Test 2017 February Regional

Pre-Calculus Individual Test 2017 February Regional The abbreviatin NOTA means Nne f the Abve answers and shuld be chsen if chices A, B, C and D are nt crrect. N calculatr is allwed n this test. Arcfunctins (such as y = Arcsin( ) ) have traditinal restricted

More information

AP Statistics Notes Unit Two: The Normal Distributions

AP Statistics Notes Unit Two: The Normal Distributions AP Statistics Ntes Unit Tw: The Nrmal Distributins Syllabus Objectives: 1.5 The student will summarize distributins f data measuring the psitin using quartiles, percentiles, and standardized scres (z-scres).

More information

Yeu-Sheng Paul Shiue, Ph.D 薛宇盛 Professor and Chair Mechanical Engineering Department Christian Brothers University 650 East Parkway South Memphis, TN

Yeu-Sheng Paul Shiue, Ph.D 薛宇盛 Professor and Chair Mechanical Engineering Department Christian Brothers University 650 East Parkway South Memphis, TN Yeu-Sheng Paul Shiue, Ph.D 薛宇盛 Prfessr and Chair Mechanical Engineering Department Christian Brthers University 650 East Parkway Suth Memphis, TN 38104 Office: (901) 321-3424 Rm: N-110 Fax : (901) 321-3402

More information

i-clicker!! x 2 lim Lecture 3 Motion in 2- and 3-Dimensions lim REVIEW OF 1-D MOTION

i-clicker!! x 2 lim Lecture 3 Motion in 2- and 3-Dimensions lim REVIEW OF 1-D MOTION Lecture 3 Mtin in - and 3-Dimensins REVIEW OF -D MOTION TODY: LSTCHNCETOMKEUPTHEPHYSICS PRETEST(u get pints fr cmpleting the pre and pst tests) Where: SERC 6 (SEC 6) When: Yucanarrieantime3:0pm 6:30 pm

More information

Pressure And Entropy Variations Across The Weak Shock Wave Due To Viscosity Effects

Pressure And Entropy Variations Across The Weak Shock Wave Due To Viscosity Effects Pressure And Entrpy Variatins Acrss The Weak Shck Wave Due T Viscsity Effects OSTAFA A. A. AHOUD Department f athematics Faculty f Science Benha University 13518 Benha EGYPT Abstract:-The nnlinear differential

More information

Equilibrium of Stress

Equilibrium of Stress Equilibrium f Stress Cnsider tw perpendicular planes passing thrugh a pint p. The stress cmpnents acting n these planes are as shwn in ig. 3.4.1a. These stresses are usuall shwn tgether acting n a small

More information

Physics 212. Lecture 12. Today's Concept: Magnetic Force on moving charges. Physics 212 Lecture 12, Slide 1

Physics 212. Lecture 12. Today's Concept: Magnetic Force on moving charges. Physics 212 Lecture 12, Slide 1 Physics 1 Lecture 1 Tday's Cncept: Magnetic Frce n mving charges F qv Physics 1 Lecture 1, Slide 1 Music Wh is the Artist? A) The Meters ) The Neville rthers C) Trmbne Shrty D) Michael Franti E) Radiatrs

More information

GAUSS' LAW E. A. surface

GAUSS' LAW E. A. surface Prf. Dr. I. M. A. Nasser GAUSS' LAW 08.11.017 GAUSS' LAW Intrductin: The electric field f a given charge distributin can in principle be calculated using Culmb's law. The examples discussed in electric

More information

LEARNING : At the end of the lesson, students should be able to: OUTCOMES a) state trigonometric ratios of sin,cos, tan, cosec, sec and cot

LEARNING : At the end of the lesson, students should be able to: OUTCOMES a) state trigonometric ratios of sin,cos, tan, cosec, sec and cot Mathematics DM 05 Tpic : Trignmetric Functins LECTURE OF 5 TOPIC :.0 TRIGONOMETRIC FUNCTIONS SUBTOPIC :. Trignmetric Ratis and Identities LEARNING : At the end f the lessn, students shuld be able t: OUTCOMES

More information

End of Course Algebra I ~ Practice Test #2

End of Course Algebra I ~ Practice Test #2 End f Curse Algebra I ~ Practice Test #2 Name: Perid: Date: 1: Order the fllwing frm greatest t least., 3, 8.9, 8,, 9.3 A. 8, 8.9,, 9.3, 3 B., 3, 8, 8.9,, 9.3 C. 9.3, 3,,, 8.9, 8 D. 3, 9.3,,, 8.9, 8 2:

More information

Example 1. A robot has a mass of 60 kg. How much does that robot weigh sitting on the earth at sea level? Given: m. Find: Relationships: W

Example 1. A robot has a mass of 60 kg. How much does that robot weigh sitting on the earth at sea level? Given: m. Find: Relationships: W Eample 1 rbt has a mass f 60 kg. Hw much des that rbt weigh sitting n the earth at sea level? Given: m Rbt = 60 kg ind: Rbt Relatinships: Slutin: Rbt =589 N = mg, g = 9.81 m/s Rbt = mrbt g = 60 9. 81 =

More information

NUMBERS, MATHEMATICS AND EQUATIONS

NUMBERS, MATHEMATICS AND EQUATIONS AUSTRALIAN CURRICULUM PHYSICS GETTING STARTED WITH PHYSICS NUMBERS, MATHEMATICS AND EQUATIONS An integral part t the understanding f ur physical wrld is the use f mathematical mdels which can be used t

More information

Kinematics. Describing Motion. Reference Frames. Measurements of position, distance or speed must be with respect to a frame of reference.

Kinematics. Describing Motion. Reference Frames. Measurements of position, distance or speed must be with respect to a frame of reference. Kinematics Describing Mtin Reference Frames Measurements f psitin, distance r speed must be with respect t a frame f reference. What is the speed f a persn with respect t the grund if she walks tward the

More information

f = µ mg = kg 9.8m/s = 15.7N. Since this is more than the applied

f = µ mg = kg 9.8m/s = 15.7N. Since this is more than the applied Phsics 141H lutins r Hmewrk et #5 Chapter 5: Multiple chice: 8) (a) he maimum rce eerted b static rictin is µ N. ince the blck is resting n a level surace, N = mg. the maimum rictinal rce is ( ) ( ) (

More information

NOTE ON APPELL POLYNOMIALS

NOTE ON APPELL POLYNOMIALS NOTE ON APPELL POLYNOMIALS I. M. SHEFFER An interesting characterizatin f Appell plynmials by means f a Stieltjes integral has recently been given by Thrne. 1 We prpse t give a secnd such representatin,

More information

( ) kt. Solution. From kinetic theory (visualized in Figure 1Q9-1), 1 2 rms = 2. = 1368 m/s

( ) kt. Solution. From kinetic theory (visualized in Figure 1Q9-1), 1 2 rms = 2. = 1368 m/s .9 Kinetic Mlecular Thery Calculate the effective (rms) speeds f the He and Ne atms in the He-Ne gas laser tube at rm temperature (300 K). Slutin T find the rt mean square velcity (v rms ) f He atms at

More information

Trigonometric Ratios Unit 5 Tentative TEST date

Trigonometric Ratios Unit 5 Tentative TEST date 1 U n i t 5 11U Date: Name: Trignmetric Ratis Unit 5 Tentative TEST date Big idea/learning Gals In this unit yu will extend yur knwledge f SOH CAH TOA t wrk with btuse and reflex angles. This extensin

More information

CHM112 Lab Graphing with Excel Grading Rubric

CHM112 Lab Graphing with Excel Grading Rubric Name CHM112 Lab Graphing with Excel Grading Rubric Criteria Pints pssible Pints earned Graphs crrectly pltted and adhere t all guidelines (including descriptive title, prperly frmatted axes, trendline

More information

Function notation & composite functions Factoring Dividing polynomials Remainder theorem & factor property

Function notation & composite functions Factoring Dividing polynomials Remainder theorem & factor property Functin ntatin & cmpsite functins Factring Dividing plynmials Remainder therem & factr prperty Can d s by gruping r by: Always lk fr a cmmn factr first 2 numbers that ADD t give yu middle term and MULTIPLY

More information

Experiment #3. Graphing with Excel

Experiment #3. Graphing with Excel Experiment #3. Graphing with Excel Study the "Graphing with Excel" instructins that have been prvided. Additinal help with learning t use Excel can be fund n several web sites, including http://www.ncsu.edu/labwrite/res/gt/gt-

More information

Physics 2010 Motion with Constant Acceleration Experiment 1

Physics 2010 Motion with Constant Acceleration Experiment 1 . Physics 00 Mtin with Cnstant Acceleratin Experiment In this lab, we will study the mtin f a glider as it accelerates dwnhill n a tilted air track. The glider is supprted ver the air track by a cushin

More information

Building to Transformations on Coordinate Axis Grade 5: Geometry Graph points on the coordinate plane to solve real-world and mathematical problems.

Building to Transformations on Coordinate Axis Grade 5: Geometry Graph points on the coordinate plane to solve real-world and mathematical problems. Building t Transfrmatins n Crdinate Axis Grade 5: Gemetry Graph pints n the crdinate plane t slve real-wrld and mathematical prblems. 5.G.1. Use a pair f perpendicular number lines, called axes, t define

More information

General Chemistry II, Unit I: Study Guide (part I)

General Chemistry II, Unit I: Study Guide (part I) 1 General Chemistry II, Unit I: Study Guide (part I) CDS Chapter 14: Physical Prperties f Gases Observatin 1: Pressure- Vlume Measurements n Gases The spring f air is measured as pressure, defined as the

More information

Exercise 3 Identification of parameters of the vibrating system with one degree of freedom

Exercise 3 Identification of parameters of the vibrating system with one degree of freedom Exercise 3 Identificatin f parameters f the vibrating system with ne degree f freedm Gal T determine the value f the damping cefficient, the stiffness cefficient and the amplitude f the vibratin excitatin

More information

MATHEMATICS SYLLABUS SECONDARY 5th YEAR

MATHEMATICS SYLLABUS SECONDARY 5th YEAR Eurpean Schls Office f the Secretary-General Pedaggical Develpment Unit Ref. : 011-01-D-8-en- Orig. : EN MATHEMATICS SYLLABUS SECONDARY 5th YEAR 6 perid/week curse APPROVED BY THE JOINT TEACHING COMMITTEE

More information

Differentiation Applications 1: Related Rates

Differentiation Applications 1: Related Rates Differentiatin Applicatins 1: Related Rates 151 Differentiatin Applicatins 1: Related Rates Mdel 1: Sliding Ladder 10 ladder y 10 ladder 10 ladder A 10 ft ladder is leaning against a wall when the bttm

More information

Relationship Between Amplifier Settling Time and Pole-Zero Placements for Second-Order Systems *

Relationship Between Amplifier Settling Time and Pole-Zero Placements for Second-Order Systems * Relatinship Between Amplifier Settling Time and Ple-Zer Placements fr Secnd-Order Systems * Mark E. Schlarmann and Randall L. Geiger Iwa State University Electrical and Cmputer Engineering Department Ames,

More information

Corrections for the textbook answers: Sec 6.1 #8h)covert angle to a positive by adding period #9b) # rad/sec

Corrections for the textbook answers: Sec 6.1 #8h)covert angle to a positive by adding period #9b) # rad/sec U n i t 6 AdvF Date: Name: Trignmetric Functins Unit 6 Tentative TEST date Big idea/learning Gals In this unit yu will study trignmetric functins frm grade, hwever everything will be dne in radian measure.

More information

4th Indian Institute of Astrophysics - PennState Astrostatistics School July, 2013 Vainu Bappu Observatory, Kavalur. Correlation and Regression

4th Indian Institute of Astrophysics - PennState Astrostatistics School July, 2013 Vainu Bappu Observatory, Kavalur. Correlation and Regression 4th Indian Institute f Astrphysics - PennState Astrstatistics Schl July, 2013 Vainu Bappu Observatry, Kavalur Crrelatin and Regressin Rahul Ry Indian Statistical Institute, Delhi. Crrelatin Cnsider a tw

More information

Admissibility Conditions and Asymptotic Behavior of Strongly Regular Graphs

Admissibility Conditions and Asymptotic Behavior of Strongly Regular Graphs Admissibility Cnditins and Asympttic Behavir f Strngly Regular Graphs VASCO MOÇO MANO Department f Mathematics University f Prt Oprt PORTUGAL vascmcman@gmailcm LUÍS ANTÓNIO DE ALMEIDA VIEIRA Department

More information

EEO 401 Digital Signal Processing Prof. Mark Fowler

EEO 401 Digital Signal Processing Prof. Mark Fowler EEO 401 Digital Signal Prcessing Prf. Mark Fwler Intrductin Nte Set #1 ading Assignment: Ch. 1 f Prakis & Manlakis 1/13 Mdern systems generally DSP Scenari get a cntinuus-time signal frm a sensr a cnt.-time

More information

Introduction to Spacetime Geometry

Introduction to Spacetime Geometry Intrductin t Spacetime Gemetry Let s start with a review f a basic feature f Euclidean gemetry, the Pythagrean therem. In a twdimensinal crdinate system we can relate the length f a line segment t the

More information

A Correlation of. to the. South Carolina Academic Standards for Mathematics Precalculus

A Correlation of. to the. South Carolina Academic Standards for Mathematics Precalculus A Crrelatin f Suth Carlina Academic Standards fr Mathematics Precalculus INTRODUCTION This dcument demnstrates hw Precalculus (Blitzer), 4 th Editin 010, meets the indicatrs f the. Crrelatin page references

More information

PHYSICS 151 Notes for Online Lecture #23

PHYSICS 151 Notes for Online Lecture #23 PHYSICS 5 Ntes fr Online Lecture #3 Peridicity Peridic eans that sething repeats itself. r exaple, eery twenty-fur hurs, the Earth aes a cplete rtatin. Heartbeats are an exaple f peridic behair. If yu

More information

Interference is when two (or more) sets of waves meet and combine to produce a new pattern.

Interference is when two (or more) sets of waves meet and combine to produce a new pattern. Interference Interference is when tw (r mre) sets f waves meet and cmbine t prduce a new pattern. This pattern can vary depending n the riginal wave directin, wavelength, amplitude, etc. The tw mst extreme

More information

MODULE FOUR. This module addresses functions. SC Academic Elementary Algebra Standards:

MODULE FOUR. This module addresses functions. SC Academic Elementary Algebra Standards: MODULE FOUR This mdule addresses functins SC Academic Standards: EA-3.1 Classify a relatinship as being either a functin r nt a functin when given data as a table, set f rdered pairs, r graph. EA-3.2 Use

More information

1 PreCalculus AP Unit G Rotational Trig (MCR) Name:

1 PreCalculus AP Unit G Rotational Trig (MCR) Name: 1 PreCalculus AP Unit G Rtatinal Trig (MCR) Name: Big idea In this unit yu will extend yur knwledge f SOH CAH TOA t wrk with btuse and reflex angles. This extensin will invlve the unit circle which will

More information

THREE DIMENSIONAL SPACE-TIME Lu Shan No.1144, East of Jiuzhou Avenue, Zhuhai , Guangdong Province P. R. China

THREE DIMENSIONAL SPACE-TIME Lu Shan No.1144, East of Jiuzhou Avenue, Zhuhai , Guangdong Province P. R. China Vl.4, N., pp.4-8, Ma 016 THREE DIMENSIONAL SPACE-TIME Lu Shan N.1144, East f Jiuhu Avenue, Zhuhai 509015, Guangdng Prvince P. R. China ABSTRACT: The space-time descriptin in Phsics was cmpsed f 3D space

More information

Materials Engineering 272-C Fall 2001, Lecture 7 & 8 Fundamentals of Diffusion

Materials Engineering 272-C Fall 2001, Lecture 7 & 8 Fundamentals of Diffusion Materials Engineering 272-C Fall 2001, Lecture 7 & 8 Fundamentals f Diffusin Diffusin: Transprt in a slid, liquid, r gas driven by a cncentratin gradient (r, in the case f mass transprt, a chemical ptential

More information

Part a: Writing the nodal equations and solving for v o gives the magnitude and phase response: tan ( 0.25 )

Part a: Writing the nodal equations and solving for v o gives the magnitude and phase response: tan ( 0.25 ) + - Hmewrk 0 Slutin ) In the circuit belw: a. Find the magnitude and phase respnse. b. What kind f filter is it? c. At what frequency is the respnse 0.707 if the generatr has a ltage f? d. What is the

More information

Lecture 7 Further Development of Theory and Applications

Lecture 7 Further Development of Theory and Applications P4 Stress and Strain Dr. A.B. Zavatsk HT08 Lecture 7 Further Develpment f Ther and Applicatins Hke s law fr plane stress. Relatinship between the elastic cnstants. lume change and bulk mdulus. Spherical

More information

Hubble s Law PHYS 1301

Hubble s Law PHYS 1301 1 PHYS 1301 Hubble s Law Why: The lab will verify Hubble s law fr the expansin f the universe which is ne f the imprtant cnsequences f general relativity. What: Frm measurements f the angular size and

More information

CLASS XI SET A PHYSICS

CLASS XI SET A PHYSICS PHYSIS. If the acceleratin f wedge in the shwn arrangement is a twards left then at this instant acceleratin f the blck wuld be, (assume all surfaces t be frictinless) a () ( cs )a () a () cs a If the

More information

CHAPTER 8b Static Equilibrium Units

CHAPTER 8b Static Equilibrium Units CHAPTER 8b Static Equilibrium Units The Cnditins fr Equilibrium Slving Statics Prblems Stability and Balance Elasticity; Stress and Strain The Cnditins fr Equilibrium An bject with frces acting n it, but

More information

Find this material useful? You can help our team to keep this site up and bring you even more content consider donating via the link on our site.

Find this material useful? You can help our team to keep this site up and bring you even more content consider donating via the link on our site. Find this material useful? Yu can help ur team t keep this site up and bring yu even mre cntent cnsider dnating via the link n ur site. Still having truble understanding the material? Check ut ur Tutring

More information

The Law of Total Probability, Bayes Rule, and Random Variables (Oh My!)

The Law of Total Probability, Bayes Rule, and Random Variables (Oh My!) The Law f Ttal Prbability, Bayes Rule, and Randm Variables (Oh My!) Administrivia Hmewrk 2 is psted and is due tw Friday s frm nw If yu didn t start early last time, please d s this time. Gd Milestnes:

More information

39th International Physics Olympiad - Hanoi - Vietnam Theoretical Problem No. 1 /Solution. Solution

39th International Physics Olympiad - Hanoi - Vietnam Theoretical Problem No. 1 /Solution. Solution 39th Internatinal Physics Olympiad - Hani - Vietnam - 8 Theretical Prblem N. /Slutin Slutin. The structure f the mrtar.. Calculating the distance TG The vlume f water in the bucket is V = = 3 3 3 cm m.

More information

UGANDA ADVANCED CERTIFICATE OF EDUCATION INTERNAL MOCK 2016 PURE MATHEMATICS. 3 hours

UGANDA ADVANCED CERTIFICATE OF EDUCATION INTERNAL MOCK 2016 PURE MATHEMATICS. 3 hours P/ PURE MATHEMATICS PAPER JULY 0 HOURS UGANDA ADVANCED CERTIFICATE OF EDUCATION INTERNAL MOCK 0 PURE MATHEMATICS hurs INSTRUCTIONS TO CANDIDATES: Attempt ALL the EIGHT questins in sectin A and any FIVE

More information

WYSE Academic Challenge Regional Mathematics 2007 Solution Set

WYSE Academic Challenge Regional Mathematics 2007 Solution Set WYSE Academic Challenge Reginal Mathematics 007 Slutin Set 1. Crrect answer: C. ( ) ( ) 1 + y y = ( + ) + ( y y + 1 ) = + 1 1 ( ) ( 1 + y ) = s *1/ = 1. Crrect answer: A. The determinant is ( 1 ( 1) )

More information

MATHEMATICS Higher Grade - Paper I

MATHEMATICS Higher Grade - Paper I Higher Mathematics - Practice Eaminatin D Please nte the frmat f this practice eaminatin is different frm the current frmat. The paper timings are different and calculatrs can be used thrughut. MATHEMATICS

More information

DEDICATED TO THE MEMORY OF R.J. WEINSHENK 1. INTRODUCTION

DEDICATED TO THE MEMORY OF R.J. WEINSHENK 1. INTRODUCTION CONVOLUTION TRIANGLES FOR GENERALIZED FIBONACCI NUMBERS VERNER E. HOGGATT, JR. San Jse State Cllege, San Jse, Califrnia DEDICATED TO THE MEMORY OF R.J. WEINSHENK. INTRODUCTION The sequence f integers Fj

More information

, which yields. where z1. and z2

, which yields. where z1. and z2 The Gaussian r Nrmal PDF, Page 1 The Gaussian r Nrmal Prbability Density Functin Authr: Jhn M Cimbala, Penn State University Latest revisin: 11 September 13 The Gaussian r Nrmal Prbability Density Functin

More information

SPH3U1 Lesson 06 Kinematics

SPH3U1 Lesson 06 Kinematics PROJECTILE MOTION LEARNING GOALS Students will: Describe the mtin f an bject thrwn at arbitrary angles thrugh the air. Describe the hrizntal and vertical mtins f a prjectile. Slve prjectile mtin prblems.

More information

B. Definition of an exponential

B. Definition of an exponential Expnents and Lgarithms Chapter IV - Expnents and Lgarithms A. Intrductin Starting with additin and defining the ntatins fr subtractin, multiplicatin and divisin, we discvered negative numbers and fractins.

More information

Bootstrap Method > # Purpose: understand how bootstrap method works > obs=c(11.96, 5.03, 67.40, 16.07, 31.50, 7.73, 11.10, 22.38) > n=length(obs) >

Bootstrap Method > # Purpose: understand how bootstrap method works > obs=c(11.96, 5.03, 67.40, 16.07, 31.50, 7.73, 11.10, 22.38) > n=length(obs) > Btstrap Methd > # Purpse: understand hw btstrap methd wrks > bs=c(11.96, 5.03, 67.40, 16.07, 31.50, 7.73, 11.10, 22.38) > n=length(bs) > mean(bs) [1] 21.64625 > # estimate f lambda > lambda = 1/mean(bs);

More information

ECE 2100 Circuit Analysis

ECE 2100 Circuit Analysis ECE 2100 Circuit Analysis Lessn 25 Chapter 9 & App B: Passive circuit elements in the phasr representatin Daniel M. Litynski, Ph.D. http://hmepages.wmich.edu/~dlitynsk/ ECE 2100 Circuit Analysis Lessn

More information

Q1. A string of length L is fixed at both ends. Which one of the following is NOT a possible wavelength for standing waves on this string?

Q1. A string of length L is fixed at both ends. Which one of the following is NOT a possible wavelength for standing waves on this string? Term: 111 Thursday, January 05, 2012 Page: 1 Q1. A string f length L is fixed at bth ends. Which ne f the fllwing is NOT a pssible wavelength fr standing waves n this string? Q2. λ n = 2L n = A) 4L B)

More information

Computational modeling techniques

Computational modeling techniques Cmputatinal mdeling techniques Lecture 4: Mdel checing fr ODE mdels In Petre Department f IT, Åb Aademi http://www.users.ab.fi/ipetre/cmpmd/ Cntent Stichimetric matrix Calculating the mass cnservatin relatins

More information