... REFERENCE PAGE FOR EXAM 2. e -st f(t) dt. DEFINITION OF THE TRANSFORM F(s) = t=0. TRANSFORMS OF DERIVATIVES f'(t) Ø sf(s) - f(0),
|
|
- Candice Randall
- 7 years ago
- Views:
Transcription
1 reference page for exam 2 REFERENCE PAGE FOR EXAM 2 DEFINITION OF THE TRANSFORM F() = t= e -t f(t) dt TRANSFORMS OF DERIVATIVES f'(t) Ø F() - f(), f"(t) Ø 2 F() - f() - f'() TRANSFORM OF A CONVOLUTION f(t) g(t) Ø F()G() TRANSFORM TABLE u(t) r(t) t n u(t) in at u(t) co at u(t) e at u(t) 2 n! n+ a 2 + a a 2 - a (t) T SHIFTING RULES f(t-a)u(t-a) Ø e -a F() e at f(t) Ø F(-a)... -e -T tranform of T INVERSE TRANSFORMS It' undertood that thee invere tranform are good for any value of a,b,c (including non-real value) a long a you don't end up dividing by. () (t) (2) -a e at u(t) (3) u(t) (4) 2 t u(t) (5) t n- n (n-)! u(t) (6) 2 +a 2 co at u(t)
2 reference page for exam 2 (7) 2 +a 2 in at u(t) a (8) ( 2 +a 2 ) 2 t in at u(t) 2a (9) ( 2 +a 2 ) 2 (in at - at co at) u(t) 2a3 () ( 2 +a 2 ( - co at) u(t) ) a2 () 2 ( 2 +a 2 (at - in at) u(t) ) a3 (2) 3 ( 2 +a 2 ( ) 2a 2 t2 + a 4 co at - a 4 )u(t) (3) 2 ( 2 +a 2 ) 2 2a (in at + at co at) u(t) (4) (5) (6) ( 2 +a 2 )( 2 +b 2 ) ( 2 +a 2 )( 2 +b 2 ) 2 (-a) b 2 -a 2 ( a in at - in bt )u(t) b b 2 (co at - co bt) u(t) -a2 ( a 2 eat - t a - a 2 )u(t) (7) (8) (-a)(-b) (-a)(-b) a-b (eat -e bt ) u(t) a-b (aeat -be bt ) u(t) (9) (2) (2) (22) (23) 2 -a 2 inh at u(t) (pecial cae of (7)) a 2 -a 2 coh at u(t) (pecial cae of (8) ) (-a) 2 (at+)e at u(t) e (-a)(-b)(-c) [ at (a-b)(a-c) ] + e bt (b-a)(b-c) + e ct u(t) (c-a)(c-b) ae (-a)(-b)(-c) [ at (a-b)(a-c) ] + be bt (b-a)(b-c) + ce ct u(t) (c-a)(c-b) (24) (25) 2 a 2eat (a-b)(a-c) + b 2 e bt (a-b)(c-b) + c 2 e ct (a-c)(b-c) (-a)(-b)(-c) (-a)( 2 +b 2 ) [ ] a 2 +b 2 e at - co bt - a in bt b u(t) u(t) (26) -e at (a-b) 2 + e bt (a-b) 2 + teat (-a) 2 (-b) a-b u(t)
3 page of Section 5. SECTION 5. INTRODUCTION the unit tep function u(t) The function u(t) i defined by CHAPTER 5 THE (ONE-SIDED) LAPLACE TRANSFORM u(t) = { if t < if t > Fig how the function u(t) and ome variation. u(t) 3 3u(t) FIG the function f(t)u(t) If f(t) i an arbitrary function then f(t) u(t) = if t < f(t) if t > -2-2u(t) In other word, multiplying a function f(t) by u(t) kill f(t) until time t= and thereafter leave it alone. Fig 2 how the function e t veru e t u(t) and Fig 3 how in t veru in t u(t). e t e t u(t) in t in t u(t) FIG 2 FIG 3 All function in thi chapter are intended to be until time t = ince they are pictured a input and output of a ytem which i initialized at t =. So the chapter i concerned with function uch a in t u(t) and e t u(t) rather than with plain in t and e t. the unit ramp r(t) The function tu(t) i called the unit ramp and denoted r(t). In other word, r(t) = if t t if t Fig 4 how the function r(t), 3r(t) and -2r(t). lope lope 3 lope -2 r(t) 3r(t) -2r(t) FIG 4
4 page 2 of Section 5. the function f(t) (t) and f(t) (t a) Multiplying (t-3) by f(t) leave the zero height on the (t-3) graph unchanged and multiplie the impule at t = 3 by f(3) o that the area become f(3) intead of. In fact, f(t) (t-3) implifie to f(3) (t-3). In general, f(t) (t-a) i the ame a f(a) (t-a), an impule of area f(a) occurring at time t = a (Fig 5). In particular, f(t) (t) i the ame a f() (t), an impule of area f() occurring at t= (Fig 6) For example, t 2 (t-4) i the ame a 6 (t-4), an impule of area 6 at t=4. For example, t (t) i the zero function (carrying zero area). It in't an impule anymore. f(t) δ(t-a) area f(a) f(t) δ(t) area f() a FIG 5 FIG 6 the ifting property of the delta function From the box above, the area under the graph of f(t) (t-a) i f(a) and it i all concentrated at t=a. So: () In particular above a a f(t) (t-a) dt = f(a) - f(t) (t) dt = f() f(t) (t) dt = f() - f(t) (t-a) dt = f(a) And if a i not in the interval of integration then interval f(t) (t-a) dt =. For example, π 2π π (t - 2 π) in t dt = in 2 π = (t - π) in t dt = 2 (π/2 i not in the interval of integration) t=- t t (t) dt = = 3 7
5 page 3 of Section 5. definition of the (one-ided) Laplace tranform and invere tranform Start with a function f(t) which i for t. Then t= (2) F() = t= e -t f(t) dt We're only conidering > becaue if, the integral probably doen't even converge. In fact, for ome f(t) the tranform will exit only for ay 5 or 2 or π. Don't worry about it. The live variable in (2) i, and the dummy variable of integration i t. F() i called the Laplace tranform of f(t) f(t) i called the invere tranform of F(). You can write f(t) Ø F() f(t) = F() - F() = f(t) ome baic tranform pair f(t) u(t) r(t) t n u(t) co at u(t) in at u(t) e at u(t) F() 2 n! n+ 2 + a 2 a 2 + a 2 - a for > a (t) proof for u(t) If f(t) = u(t) then F() = u(t) e -t dt = e -t dt = - e-t t= provided > o that lim t e -t = proof for r(t) If f(t) = r(t) = t u(t) then = + = F() = te -t dt = (- te-t - 2 e-t ) t= = - t e t t= - 2 e-t t= + te-t t= antideriv i on the ref page for exam + 2 e-t t= = 2 / 2
6 page 4 of Section 5. proof for in at u(t) If f(t) = in at u(t) then F() = e -t in at dt = t= e-t (- in at - a co at) 2 + a 2 t= = a 2 + a 2 proof for (t) (t) = e -t (t) dt = e - (ifting property) = linearity property of the tranform [f(t)+ g(t)] = f(t) + g(t) [ af(t) ] = a f(t) In other word, (3) f(t) + g(t) Ø F() + G() (4) a f(t) Ø a F() proof of (3) [ f(t) + g(t) ] = [ f(t) + g(t) ] e -t dt = f(t) e -t dt + g(t) e -t dt = f(t) + g(t) corollary of linearity (at 2 + bt + c)u(t) Ø a b 2 + c example If f(t) = (4 + 3t 2 )u(t) then F() = = example 2 6r(t) Ø 6 2-3u(t) Ø -3
7 page 5 of Section 5. warning Suppoe f(t) = in 3t u(t) 3 To indicate that the tranform i 2 either write in 3t u(t) Ø 2 OK + 9 or write 3 in 3t u(t) = 2 OK + 9 or write 3 F() = 2 OK + 9 but don't write in 3t u(t) = WRONG WRONG WRONG review coh t = et + e -t 2, inh t = et - e -t 2 PROBLEMS FOR SECTION 5.. Find the tranform (a) t 5 u(t) (b) t 3 u(t) (c) e 3t u(t) (d) e -4t u(t) (e) in 4t u(t) (f) co 5t u(t) 2. Derive the tranform formula for e -at u(t) 3. Find the tranform (a) coh t u(t) (b) in 2 4t u(t) (Ue the identity in 2 t = ( - co 2t) ) 2 (c) co(at + b)u(t) (Ue the identity co(x + y) = co x co y - in x in y) (d) (8t 2 + 2t - 3) u(t) (e) (2e 3t - in πt) u(t) (f) 5 (g) (h) lope /2 (i) lope 7-2 (j) e 3t+4 u(t) (ue a little algebra firt) (k) (apple) 6 (t) (4t 3-3t 2 + 5t + 2) u(t)
8 page 6 of Section Find (a) 2π (t - π 4 ) co t dt (b) 2π t 3 (t-7) dt 2π (c) t 3 (t-6) dt (d) - (t) co t dt (e) - 6 (t) dt (f) 6 (t) dt (g) - t 2 (t) dt (h) e t (t) dt (i) - t 2 (t-2) dt (j) e t (t-2) dt 5. Find by inpection (a) e -t t 4 dt (b) e -u (c) e -wt t 4 dt (d) t 4 e 32 t t 4 dt u 4 du
9 page 7 of Section 5. HONORS 6. (a) Ue integration by part to expre the tranform of t n u(t) in term of the tranform of t n- u(t). (b) I already derived the tranform of tu(t), i.e., of r(t). Ue the reult in (a) to find the tranform of t 2 u(t), t 3 u(t), t 4 u(t) and t n u(t).
10 page of Section 5.2 SECTION 5.2 FINDING TRANSFORMS the graph of f(t a)u(t a) The graph of f(t-a)u(t-a) i found by tranlating the graph of f(t)u(t) to the right by a unit (Fig -4), i.e., by delaying the ignal. 2 2 (t-3) u(t-3) t u(t) u(t-2) - 3 FIG FIG 2 2 4r(t-3) = 4(t-3)u(t-3) lope 4 3 in(t-4)u(t-4) - FIG 3 FIG π t-hifting rule Let a be a poitive number. Delaying f(t)u(t) until time a will multiply the tranform by e -a. In other word, if f(t)u(t) Ø F() then For example (Fig ), f(t-a)u(t-a) Ø e -a F() t 2 u(t) Ø 2 3 o (t-3) 2 u(t-3) Ø 2e-3 3 Similarly, for the delayed ignal in Fig 2-4, u(t-2) Ø e-2 4r(t-3) Ø 4e-3 2 in(t-4)u(t-4) Ø e proof of the t-hifting rule f(t-a)u(t-a) = f(t-a)u(t-a) e -t dt = a f(t-a) e -t dt. Now let v = t-a, dv = dt. When t = a, v =. When t =, v =. So
11 page 2 of Section 5.2 f(t-a)u(t-a) = = e -a f(v) e -(v+a) dv f(v) e -v dv = e -a F() Thi i the integral for F() (but with dummy variable v intead of t) adding and ubtracting ramp Firt note that if you add two line with lope m and m 2 you get a line with lope m + m 2 becaue m x + b + m 2 x + b 2 = (m + m 2 )x + b +b 2 Fig 5-7 how how to ue thi to combine ramp graphically. m=3 m=2 + 3 m= = m=2 ' 3 FIG 5 m= m=3 3-5 = m= m=-2 ' 3 5 FIG 6 m= + m= m=-4 = m=2 m= ' ' 3 5 m=-2 FIG 7 finding tranform by decompoing into ramp and tep Look at the function in Fig 8. Fig 9 how that 4- Fig 8 = 4r(t) - 5r(t-) + r(t-5). So the tranform of Fig 8 i 4 2-5e- 2 + e-5 2 ' 5 FIG 8
12 page 3 of Section 5.2 m=- m=4 m=4 ' 5 m= = FIG m=-5 5 m= warning In Fig 9, if you top with the firt two term in the decomp, i.e., if you top with 4r(t) - 5r(t-) then you have the function in Fig intead of the deired Fig 8. have enough term in your decompoition to get what you want. Make ure you m=4m=- 5 FIG example The function in Fig can be written a r(t) - r(t-3) of Fig i 2 - e-3 2 (Fig 2). So the tranform m= 3- m= m= ' 3 FIG FIG 2 ' 3 = + 3 m=- tranform of a jumpy f(t) I'll find the tranform of the function in Fig 3 which jump from 8 down to. 8-4 FIG 3 Fig 4 how the decompoition of Fig 3. m=2 4 m= m=2 = - m= o far the decomp goe up to ubtract to make it height 8 and level off there jump down to height FIG 4
13 page 4 of Section 5.2 So Fig 3 = 2r(t) - 2r(t-4) - 8u(t-4) and the tranform of Fig 3 i 2 2-2e-4 2-8e-4 decribing a pule Fig 5 how that u(t-4) - u(t-7) = { if 4 t 7 otherwie u(t-4) u(t-7) = FIG 5 u(t-4) - u(t-7) So f(t) [ u(t-4) - u(t-7) ] = { f(t) if 4 t 7 otherwie Similarly, f(t) [ u(t) - u(t-7) ] = { Fig 6 and 7 how ome ine pule. f(t) if t 7 otherwie π 2π π in t [ u(t-π) - u(t-2π) ] in t [ u(t) - u(t-π) ] FIG 6 FIG 7 uing algebraic maneuver and t-hifting to find the tranform of a pule Let f(t) = e 2t if t 6 otherwie 6 Then f(t) = e 2t [ u(t) - u(t-6) ] = e 2t u(t) - e 2t u(t-6) FIG 8 You can't ue the t hifting rule on e 2t u(t-6) becaue the exponent ha plain t in it, not t-6. But you can get it into a more ueful form a follow: f(t) = e 2t u(t) - e 2(t-6)+2 u(t-6) = e 2t u(t) - e 2 e 2(t-6) u(t-6) TRICK contant now can t-hift
14 page 5 of Section 5.2 So F() = -2 - e2 e-6-2 = -2 ( - e2-6 ) example 3 Find the tranform of the pule f(t) in Fig 9 We have y= FIG 9 y=t 2 y= f(t) = t 2 [ u(t) -u(t-4)] = t 2 u(t) - t 2 u(t-4) = t 2 u(t) - [ (t-4) + 4 ] TRICK 4 not ready for t-hifting 2 u(t-4) = t 2 u(t) - [(t-4) 2 + 8(t-4) + 6] u(t-4) So ready for t-hifting F() = e warning The t hifting rule doe not apply directly to t 2 u(t-4); the tranform i not 2e-4 3 becaue 2e-4 3 goe with (t-4) 2 u(t-4) and not with t 2 u(t-4). The t hifting rule applie in example 3 after you ue algebra to get [ (t-4) 2 + 8(t-4) + 6] u(t-4) example 4 Find the tranform of the ine pule in Fig 2. y=in t y= π FIG 2 y= method Fig 2 how the pule decompoed into in t u(t) + in(t-π) u(t-π) So the tranform i e -π 2 +
15 page 6 of Section 5.2 in t u(t) in(t- π) u(t- π) π = + FIG 2 π method 2 Fig 6 = in t [ u(t) - u(t-π) ] = in t u(t) - in t u(t-π) = in t u(t) - in [ (t-π) + π ] u(t-π) TRICK = in t u(t) + in(t-π) u(t-π) by the identity in(x+π) = - in x So the tranform of the function in Fig 2 i e -π 2 + example 5 Find the tranform of the pule in Fig FIG 22 The pule i 2u(t-3) - 2u(t-7) o it tranform i 2 [ e -3 - e -7 ]. review of geometric erie a + ar + ar 2 + ar = a -r provided that - < r < tranform of a periodic function Suppoe f(t)u(t) ha period T for t (Fig 23). f(t)u(t) f(t) [u(t) - u(t-t)]... T FIG 23 FIG 24 T To find it tranform, firt find the tranform of f(t) [ ] u(t) - u(t-t) (Fig 24), the ignal coniting of the firt period followed by zero. Then multiply by -e -T
16 page 7 of Section 5.2 proof Fig 24 Fig 24 hifted by T f(t)u(t) = T + T 2T Fig 24 hifted by 2T + 2T 3T +... If you let G() denote the tranform of Fig 24 then f(t)u(t) Ø G() + e -T G() + e -2T G() + e -3T G() +... = G() + e -T + (e -T ) 2 + (e -T ) The erie in the bracket i geometric with a =, r = e -T, Since T and are poitive, e -TS i between and o the erie converge to -e -T and f(t)u(t) Ø tranform of Fig 24 -e -T example 6 The function in Fig 25 ha period 2a for t. So tranform of Fig 25 = tranform of Fig 26 Fig 27 how the decompoition of Fig 26: -e -2a Fig 26 = 5u(t) - u(t-a) + 5u(t-2a) So tranform of Fig 26 = 5 - e-a + 5e-2a and Fig 25 Ø 5 - e -a + 5-2a ( - e -2a ) a 2a 3a 4a a 2a -5 - FIG 25 FIG 26
17 page 8 of Section a 2a = 5 - FIG 27 a + 5-2a warning Don't forget the lat term in the decompoition in Fig 27. If you leave it out you will end up with when you wanted to get Fig 26. -hifting rule e at f(t) Ø F(-a) for > a In other word, multiplying a function by e at hift the tranform to the right by a. proof of the -hifting rule ( ) e at f(t) = e at f(t) e -t dt = f(t) e -(-a)t dt The integral on the righthand ide i the ame a the integral for the Laplace tranform F() but with -a intead of. So the integral i F(-a). footnote The proof of the hifting rule doen't work unle > a o that -a > becaue the original definition of the Laplace tranform a f(t) e -t dt required >. And in the lat integral in ( ), -a i playing the role of the in the definition. So the hifting rule really hold only for > a. example 7 To find the tranform of e -3t in t u(t), find the tranform of in t u(t) and then hift: e -3t in t u(t) Ø (+3) 2 + example 8 Table lit the tranform pair coh at u(t) Ø 2 -a 2 So, by the hifting rule, e 3t coh at u(t) Ø -3 (-3) 2 - a 2
18 page 9 of Section 5.2 PROBLEMS FOR SECTION 5.2. Sketch the graph (a) 9-t 2 (b) (9-t 2 ) u(t) (c) (9-t 2 )u(t-3) (d) (9-t 2 ) u(t-5) 2. Draw a picture of the indicated um (a) m=4 3-5 m=4 (b) m=2 + 2 m=-5 (c) (d) (e) 7 m=-3 + m=3 7 (f) m=- 3 - m=2 + ' Find the tranform (a) (b) (c) 2π - 6- m= m=2-5 T m= π' (d) (e) (f) (g) ' 23 ' ' 2T 3 m= 4. Suppoe you want the tranform of the function f(t) in the lefthand diagram. What have you done wrong if you decompoe f(t) into 6r(t-2) - 6r(t-3) (ee the righthand diagram) and conclude that the tranform i 6e-2 2-6e m=6 f(t) 2 3 m= 6r(t-2) 6r(t-3) m=6 m=6-2 3 Problem 4 f(t) Problem 4 would be decompoition
19 page of Section Find the tranform (a) 3-2- (b) 2- ' 2 ' ' 2 3 (c) (d) 2-2- ' ' 3/ ' 2' ' Sketch the graph (a) 9-t 2 (b) (9 - t 2 ) [ u(t) - u(t-3) ] (c) (9 - t 2 ) [ u(t-2) - u(t-4) ] 7. Given the graph of f(t) in the diagram. Sketch the graph of (a) f(t) u(t) (b) f(t) u(t-2) (c) f(t-2) u(t-2) (d) f(t) [ u(t) - u(t-4) ] -2-2 Problem Find the tranform (a) e -t 2 (b) f(t) = t 3 if t 2 otherwie (c) ine 2 3 (d) t 2 mirror image 2 9. Find the tranform of tu(t-5).. Find the tranform of the following function which are periodic on [, ) (a) k a 2a 3a 4a... (b) - a 2a 3a... (c) rectified in t π 2π 3π... train of unit impule (d)... a 2a 3a
20 page of Section 5.2 (e) train of unit impule (f) a 3a 2a ' a 3a4a ' ' 5a 7a ' 8a.(a) Show that the tranform of the taircae in the diagram i (e - ) (b) Show that the tranform of the indicated function with envelope e -2t i e-( + 2) ' ' ' Problem (a) etc. envelope etc Problem (b) 2. Find the tranform (a) e 3t co 4t u(t) (b) t 2 e -4t u(t) 3. Find e -t (t-5) 7 dt by inpection (don't do any integration). t=5
21 page of Section 5.3 SECTION 5.3 FINDING INVERSE TRANFORMS uing linearity in revere If the invere of F() and G() are in the table of invere tranform, you can find the invere of 3F() and F() + G() uing the linearity rule in revere. For example the table lit and 2 + a 2 Ø a in at u(t) 2 Ø co at u(t) + a2 o = 2 5 in 5 t u(t) + 6 co 3 t u(t) uing the t-hifting rule in revere You ued the rule f(t-a)u(t-a) Ø e -a F() to find the tranform of the delayed ignal f(t-a)u(t-a). right to left to find invere tranform: It can alo be ued from To find the invere tranform of e -a F(), invert F() (remember to put in the u(t)) and then delay until time a. o For example, the table lit () 4 Ø t3 3! u(t) e -5 4 Ø (t-5) 3 3! u(t-5) (Fig ) 5 FIG 6 (t-5)3 u(t-5) warning If you t-hift t3 3! t-hift all of it: WRONG e -5 4 Ø t3 3! u(t) to find the invere tranform of e-5 4 u(t-5) WRONG make ure you WRONG WRONG e -5 4 Ø (t-5)3 u(t) 3! e -5 4 Ø (t-5)3 3! WRONG WRONG RIGHT e -5 4 Ø (t-5)3 3! u(t-5) RIGHT uing the -hifting rule in revere You can ue the rule e at f(t)u(t) Ø F(-a)
22 page 2 of Section 5.3 to find the tranform of a ignal multiplied by an exponential. It' more ueful read from right to left: hifting the tranform to the right by a correpond to multiplying the original function by e at For example, you know that = co 7 t u(t) o, by the -hifting rule, - -5 (-5) = e 5t co 7 t u(t) inverting imple fraction where the denominator contain linear factor Table lit 2-4 Ø 2e-4t So (2) = (rearrange) Ø 5 3 e-7t/3 u(t) Table lit t9 Ø 9! u(t) o, by -hifting, (3) (+4) Ø t 9 9! e -4t u(t) completing the quare to invert ome fraction with nonfactorable quadratic denominator (4) = = ( ) (complete the quare) Ø 2 7 in 2 7 t e-3t/2 (baic formula plu -hifting) (5) = 7 (-3) complete the quare But the fraction in't ready to be inverted yet becaue the denominator i -hifted but the numerator in't. So rearrange the numerator to match the hifted denom: (-3) + 2 = (-3) (-3) = (-3) (-3) Ø 7 co 5t e 3t u(t) in 5t e3t u(t)
23 page 3 of Section 5.3 warning To invert 7 (-3) don't forget that the numerator mut be rearranged to match the hifted denominator. If they don't match (the denom ha -3 but the numerator ha ) the fraction can't be inverted uing -hifting. (6) On the other hand, to invert e - (-3) don't try to turn e - into e -(-3). Treat the e - in (6) a the ignal to firt invert the fraction (-3) getting 5 e-3t in 5 t u(t) (-hfting rule) and then t-hift to get e - (-3) Ø 5 e-3(t-) in 5 (t-) u(t-) how to invert fraction where the denominator i cubic or wore Suppoe F() i of the form polynomial another poly of higher degree I put many of thee in the table o look there firt. If you get one that' not in the table then one way to find an invere tranform i to decompoe F() (ugh) into a um of impler partial fraction (you learned how to do that in calculu ee handout on decompoition) and then invert the piece. That' how many of the formula in the reference table were derived in the firt place. If you have acce to Mathematica you can take tranform and invere tranform of many function directly. example 2-5 Ø 5 inh 5 t u(t) (table (9)) ( + 4) 2-5 Ø 5 e-4t inh 5 t u(t) (-hifting rule) e Ø 5 inh 5(t-2) u(t-2) (t-hifting rule) e -2 (+4) 2-5 Ø e -4(t-2) inh 5(t-2) u(t-2) (-hifting and t-hifting)
24 page 4 of Section 5.3 review of factoring quadratic ax 2 + bx + c = a x - -b + b2-4ac 2a -b - x - b2-4ac 2a example example 3 Let F() = = Ø [ -(+ 3) ] [ -(- 3) ] [ ] 2 e(+ 3)t - e (- 3)t u(t) (table (7)) 3 ( ) The econd factor in the denominator i nonfactorable. The decompoition i ( ) = / The firt term invert to 5 u(t). The econd term i like (5) above: ( ) = (-) (complete quare) = - 5 (-) - (-) (rearrange numerator to match the hift in the denom) = (-) (-) So Ø - 5 et co 2t u(t) + 5 ( ) 2 et in 2t u(t) (-hifting) Ø [ 5-5 et co 2t + et in 2t ] u(t) example 4 Let F() = (+2)(-4) method for invere tranforming Split F() into three fraction and ue (8),(7) and (22) in the table. F() = = 2 (+2)(-4) + 2 (+2)(-4) - 2 (+2)(-4) (+2)(-4) + 2 (+2)(-4) - 2 (+2)(-4)
25 page 5 of Section 5.3 Ø - 6 (-2e-2t - 4e 4t )u(t) (e-2t - e 4t )u(t) - 2( e-2t + 24 e4t )u(t) = [ 4-6 e-2t + ] method 2 for invere tranforming F() decompoe into 2 e4t u(t) So /4 - / /2-4 f(t) = [ 4-6 e-2t + ] 2 e4t u(t) PROBLEMS FOR SECTION 5.3. Find the invere tranform (a) 5 2 (b) 5 4 (c) 5-3 (e) 4 (f) Find the invere tranform and draw it graph (d) (a) e-2 (b) e (c) e (d) e Find the invere tranform (a) (-3) 3 (b) (+2) 4 (c) (-5) 2 (d) + 6 (e) e-3 (+ 6) 8 4. (a) (d) (b) (e) 2 + (c) ( + 4) (f) e (g) e -2 (+4) (h) (i) (j) (a) Derive the invere tranform formula that you'll find in the table for thee fraction by decompoing into impler fraction. (i) 2 - a 2 (ii) (-a) 2 (b) The table are miing the invere tranform of (-a) 2 What i it? 6. Find the invere tranform of + (firt ue long diviion) 7. For thi problem jut find the form of the partial fraction decompoition and ue it to find the form of the invere tranform, all without actually computing the contant involved in the decompoition. (a) 3 (b) (-2) (-)(+2) 4
26 page 6 of Section Find the invere tranform. If a partial fraction decompoition i neceary, jut find the form of the anwer without actually computing the contant involved in the decompoition. (a) ( 2 (b) ) 2 ( 2 +) (c) (d) (e) (f) (g) (+4) 2 (h) (+4) 2 (i) (j) (k) - 4 (-2) 2 (apple) The anwer to #8(apple) wa coh 3 t. Do you remember what coh 3 t i in term of exponential function.. Let F() = (a) Find the invere tranform by completing the quare (b) Would it work to factor the denominator into non-real linear factor and ue (7) in the table.
27 page of Section 5.4 SECTION 5.4 SOLVING DIFFERENTIAL EQUATIONS USING TRANSFORMS tranform of derivative () f'(t) Ø F() - f() (2) f''(t) Ø 2 F() - f() - f'() proof f'(t) = t= f'(t) e -t dt Now ue integration by part with u = e -t, dv = f'(t), du = -e -t dt, v = f(t) to get f'(t) = e -t f(t) t= + t= f(t) e -t dt = F() - f() - f() F() ee footnote footnote I'm auming that f(t) ha a tranform in the firt place. So the improper integral e -t f(t) dt mut exit for ay t= >. It can't exit unle e -t f(t) a t (in fact it mut quickly). So plugging t= into e -t f(t) give. Thi prove (). To get (2), think of f'' a (f')'. Then f''(t) = (f' )' = f'(t) - f'() by () = [ F() - f() ] - f'() by () again = 2 F() - f() - f'() olving a DE with IC uing tranform Look at y'' - 3y' + 2y = 2e -t with IC y() = 2, y'() = -. The idea i to take tranform on both ide of the DE to get a new algebraic equation with unknown Y(). You can olve (eaily) for Y() and then (le eaily) take the invere tranform to get y(t), the olution to the DE. In the proce the IC will be ued automatically. Tranforming both ide of the DE give 2 Y - y() - y'() - 3[ Y - y() ] + 2Y = 2 +
28 page 2 of Section 5.4 Ue the IC y() = 2, y'() = - to get 2 Y [ Y - 2 ] + 2Y = 2 + Then ( )Y = Y = (+)( ) = (+)(-)(-2) warning Don't leave out the bracket and write -3Y - 2 when it hould be -3[Y - 2] You can plit thi into 2 2 (+)(-)(-2) - 5 (+)(-)(-2) - 5 (+)(-)(-2) and ue (24),(23),(22) in the table or you can decompoe into partial fraction and then invert (+)(-)(-2) = / /3-2 Either way the anwer i y(t) = [ 3 e-t + 4e t e2t ] u(t) example Ue tranform to olve y'' + 4y' + 3y = with IC y() = 3, y'() = olution Take tranform on both ide of the DE to get 2 Y (Y - 3) + 3Y = (the tranform of i ) Then Y = = (+3)(+) = 3 (+3)(+) + 3 (+3)(+) Ue the table to get y(t) = (-2e -3t + 5e -t ) u(t) example 2 Ue tranform to olve y'' + 3y' + 2y = f(t) with IC y() =, y'() = where f(t) = if t 4 otherwie
29 page 3 of Section 5.4 olution f(t) can be written a u(t) - u(t-4). Take tranform in the DE: 2 Y + 3Y + 2Y = - e-4 (3) Y() = ( ) - e -4 ( ) = (+2)(+) - e -4 (+2)(+) Then (ue table and t-hifting) (4) y(t) = [ 2 - e-t + 2 e-2t ] u(t) -[ 2 ] - e-(t-4) + 2 e-2(t-4) u(t-4) writing without the u notation If y = $$$ u(t) + ### u(t-a) then y = if t $$$ if t a $$$ + ### if t a For example, if y = u(t) + (t-7)u(t-7) + t 5 u(t-8) then (5) y = if t 7 + t-7 = t-6 if 7 t 8 t-6 + t 5 if t 8 warning If y = u(t) + (t-7)u(t-7) + t 5 u(t-8) it i not correct to write WRONG WRONG y = if t 7 t-7 if 7 t 8 t 5 if t 8 WRONG WRONG The right verion i in (5).
30 page 4 of Section 5.4 example 2 continued The olution in (4) can be rewritten a for t (6) y(t) = 2 - e-t + 2 e-2t for t e-t + 2 e-2t - [ ] 2 - e-(t-4) + 2 e-2(t-4) for t 4 warning When you write (4), don't leave out the u(t) and epecially not the u(t-4). If you do then your "anwer" i WRONG y = e -t + 2 e-2t + e -(t-4) - 2 e-2(t-4) WRONG which i very different from the correct anwer in (6). review of Cramer' rule Conider the ytem of equation a x + b y + c z = d a 2 x + b 2 y + c 2 z = d 2 a 3 x + b 3 y + c 3 z = d 3 The determinant of coefficient i a b c a 2 b 2 c 2 a 3 b 3 c 3 If thi determinant i non-zero then the olution i x = coeff determinant but with column replaced by coeff determinant d d 2 d 3 d y = z = coeff determinant but with column 2 replaced by coeff determinant coeff determinant but with column 3 replaced by coeff determinant d 2 d 3 d d 2 d 3 olving a ytem of DE with IC uing tranform Conider the ytem with IC x'' = -3x + 2y y'' = 6x - 7y x() =, y() =, x'() =, y'() = 2.
31 page 5 of Section 5.4 The unknown are the function x(t) and y(t). Take tranform and collect term: 2 X - = -3X + 2Y 2 Y = 6X - 7Y ( 2 + 3)X - 2Y = -6X + ( 2 + 7)Y = + 2 Ue Cramer' rule to olve for X and Y: X = = = ( 2 + 9)( 2 + ) Y = ( 2 + 9)( 2 + ) = ( 2 + 9)( 2 + ) To find invere tranform, decompoe (or better till, get a larger et of table or ue Mathematica): X = Y = Then x = [ - 4 co 3t - 2 in 3t + 4 co t ] y = [ 3 ] 4 co 3t + 4 in 3t + 4 co t + 5 in t u(t) 4 in t u(t) finding the impule repone uing tranform Look at the ytem where input f(t) and output y(t) are related by 2y'' - 4y' - 6y = f(t) I want to find the impule repone h(t) of the ytem. Thi mean olving (7) 2y'' - 4y' - 6y = (t) with IC y() =, y'() = Take tranform in (7) to get 2 2 Y - 4Y - 6Y = Y =
32 page 6 of Section 5.4 Thi i the tranform H() of the impule repone h(t). Factor and ue table (8) (or decompoe): H() = 2 (+)(-3) h(t) = ( - 8 e-t + 8 e3t )u(t) footnote For comparion, here' the method from Chapter 2 for finding the impule repone. Switch from (7) to 2y '' - 4y' - 6y = with IC y() =, y'() = 2 Then 2m 2-4m - 6 =, m = 3,-, y h = Ae 3t + Be -t. The IC make A = 8, B = - 8 o h(t) = 8 e3t - 8 e-t for t In general, the tranform H() of the impule repone h(t) i referred to a the ytem' tranfer function. If input f(t) and output y(t) are related by ay'' + by' + cy = f(t) then (8) H() = a 2 + b + c example 3 Solve 2y" + 3y' + y = co t with IC y() =, y'() =. method (a in example and 2) Take tranform on both ide of the DE: 2 Y + 3Y + Y = 2 + Y = ( )( 2 + ) Now take the invere tranform to get olution y(t). I'm not going to bother doing it. (Mathematica did it in a plit econd. It would take me 5 minute jut to type the invere tranform.) method 2 By (8) H() = Then by (9), Y() = H() Èco t = Same now a method.
33 page 7 of Section 5.4 PROBLEMS FOR SECTION 5.4. Tranform the DE, olve for Y and then top (o that omeone who had a large et of invere tranform table and/or a computer to decompoe could eaily finih the problem) 2y'' + 3y' + 4y = e -8t in 3t with IC y() = -5, y'() = 6 2.Ue tranform to olve (a) y'' + y = in 3t with IC y() =, y'() = (b) y'' + y = 2 co t with IC y() = 2, y'() = (c) i'(t) + 5i(t) = 25 in 5t with IC i() = In particular, find the teady tate olution (d) y'' + 3y' + 2y = e -t with IC y() =, y'() = 3. Ue tranform to olve (a) y '' + 2y = f(t) with IC y() =, y'() = where f(t) = if t otherwie (b) y'' + 4y = in t if t π otherwie with IC y() =, y'() = 4. Solve the ytem of DE uing tranform (a) x' = 7x + 6y y' = 2x + 6y with IC x() = 2, y() = (b) x' = 2x - 2y, y' = x with IC x() = 2, y() = 2 (c) y ' = y 2-2y +, y ' 2 = y - 2y 2 with IC y () =, y 2 () = 5. If the input f(t) and repone y(t) are related by the given DE, ue tranform to find (and then ketch) the impule repone. (a) 2y'' + 3y = f(t) (b) y'' + 5y' + 6y = f(t) (c) y' + y = f(t) 6. Let f(t) be the triangular wave in the diagram. It derivative i the quare wave g(t). Suppoe you know G(). How would you find F(). f(t) Problem 6 g(t)
34 page 8 of Section 5.4 HONORS 7. A function f(t) ha many antiderivative. The partiular antiderivative whoe value i when t= i t f(t) dt. Analogou to the tranform rule for the derivative f'(t) and f''(t) it can be hown that there i a tranform rule for the antiderivative t f(t) dt, namely t ( ) f(t) dt Ø F() (a) Ue it to olve the following integral equation where 2y + t y(t) dt = f(t) f(t) = 4 for a t b otherwie (b) The rule in ( ) read from from right to left ay that to find the invere of omething, invert the omething and then take t. Ue thi to how how () in the invere tranform table can be derived from ().
35 page of Section 5.5 SECTION 5.5 CONVOLUTION tranform of a convolution Remember that f(t) g(t) = u=- f(t-u)g(u) du Now, in addition, let f(t) and g(t) be for t < (a ha been the cae throughout thi chapter). Then f(t) g(t) Ø F()G() In other word, convolving function (that tart at t = ) in the t world correpond to multiplication in the tranform world. So to find the convolution f(t) g(t) tep find the tranform F() and G() tep 2 multiply the tranform tep 3 take the invere tranform proof (lippery) f(t) g(t) = t= f(u)g(t-u) du u= e -t dt It' OK to ue u= a the lower limit in the convolution integral intead of - ince f(u) = for u. Now rewrite e -t a e -u e -(t-u) and rearrange to get f(t) g(t) = u= g(t-u)e -(t-u) dt t= f(u) e -u du Subtitute w = t-u, dw = dt in the inner integral to get f(t) g(t) = u= g(w) e -w dw w= -u f(u) e -u du Since g(w) = for w we can change the lower limit on the inner integral from w = -u to w =. So f(t) g(t) = u= g(w) e -w dw w= f(u) e -u du G() = G() u= f(u) e -u du = G()F() QED
36 example Let f(t) = t u(t) and g(t) = in t u(t). Find f(t) g(t) uing tranform Firt take the tranform of f(t) and g(t): page 2 of Section 5.5 in t u(t) tu(t) Ø Ø Multiply the tranform to get F()G() = 2 ( 2 + ) From the tranform table, 2 ( 2 + ) Ø (t - in t) u(t) So f(t) g(t) = (t - in t) u(t) = if t t - in t if t example 2 Ue tranform to find the convolution of the following function and write the final anwer without uing u(t) notation. 8 f(t) 4 g(t) 6 4 Firt find the tranform and multiply them. f(t) = 8u(t) - 8u(t-6) and g(t) = 4u(t) - r(t) + r(t-4) F() = 8-8 e-6 and G() = e-4 F()G() = e e e e- Now invert. f g = - 8t2 + 32t 2! u(t) + 8(t-4)2 2! u(t-4) + 8(t-6) 2-32(t-6) 2! u(t-6) So - 8(t-)2 2! u(t-)
37 page 3 of Section 5.5 if t 4 then f g = - 8t2 + 32t = -4t 2! t if 4 t 6 then f g = - 4t t + 8(t-4)2 = 64 2! if 6 t then f g = (t-6)2-32(t-6) = 4t 2! 2-8t + 4 if t then f g = 4t 2-8t + 4-8(t-)2 =, 2! i.e., if t -4t t if t 4 f g = 64 if 4 t 6 4t 2-8t + 4 if 6 t if t PROBLEMS FOR SECTION 5.5. Let g(t) = e -t u(t) and f(t) = 2-t for t 2 (f i otherwie) Find f(t) g(t) uing tranform. Give the anwer with the u notation and then again without the u notation. 2. Ue tranform to find f(t) g(t) f(t) 4-5 g(t) Ue tranform to convolve f(t) = e -t u(t) and g(t) = tu(t) 4. Let f(t) = e - t u(t) (where i jut a fixed contant.) Find f(t) f(t) f(t) f(t) 5. Take tranform to how that the olution to i y'' + a 2 y = f(t) with y() = K, y'() = K 2 y = a in at f(t) + K co at + K 2 a in at for t
38 page 4 of Section 5.5 HONORS 6. Let f(t) be an arbitrary function (tarting at t=). (a) Find the convolution (t) f(t) directly (uing the definition of convolution) and then again with tranform. Interpret the reult phyically by thinking of f(t) a an input into an initially at ret ytem which ha impule repone (t). (b) Find (t-a) f(t) directly and then again with tranform. Interpret the reult phyically.
39 page of review problem for Chapter 5 REVIEW PROBLEMS FOR CHAPTER 5. Rewrite the following without the tep notation and ketch the graph. (a) f(t) = e -5t [u(t-) - u(t-3)] (b) f(t) = e -5t u(t) + e -5(t-2) u(t-2) 2. Solve uing tranform. (a) y'' + y = co t with IC y() =, y'() = (b) y'' + 4y' + 5y = 5 with IC y() =, y'() = 2 3. Find the tranform. (a) 3 - ' 2 (b) 6 - ' y = 4-(t-2) 2 (c) 4 4. (a) Let a. Show that È f(at) = a F( ) (called the caling rule). a (b) Suppoe È in t inh t = Ue part (a) to find È in at inh at. 5. Ue tranform to find the impule repone of the ytem whoe input f(t) and repone y(t) are related by y'' + y' + 7y = f(t). 6. Find the tranform of the following function which i periodic for t. The non zero piece are ine. 6-2π 4π 6π 8π 7. Find the invere tranform (a) 4 (b) (+2) 3 (c) 5 (-4) 2 (d) (e) e-4 3 (f) (+)( 2 + ) (g) (h) 2 - (i) 2 (-2) 8. Find thee integral by inpection. (a) e -3t t 4 dt (b) e -t e -3t t 4 dt
40 page 2 of review problem for Chapter 5 9. Solve for x(t) and y(t) if x'' = -5x + 4y, y'' = 4x - 5y with IC x() =, y() = -, x'() =, y'() =. Ue tranform to find h(t) f(t). 4 - h(t) - f(t) 4 5
41 page of appendix to Chapter 5 APPENDIX FINDING TRANSFORMS AND INVERSE TRANSFORMS WITH MATHEMATICA Load the tranform package and the package containing the unit tep function. <<:Calculu:LaplaceTranform.m <<:Calculu:DiracDelta.m For convenience, introduce horthand notation for the unit tep and unit ramp function u[t_]:= UnitStep[t]; r[t_]:= t u[t]; Here' the graph and the tranform of a function built out of ramp. Plot[ 2r[t] - 3r[t-] + r[t-5],{t,-,7},tick->{{,5},none}, PlotStyle->{{GrayLevel[.5], Thickne[.2]}}]; 5 LaplaceTranform[2r[t] - 3r[t-] + r[t-5],t,] E E Here' the graph of an exponential pule and it tranform Plot[E^(2t) (u[t] - u[t-2]),{t,-2,}, Tick->{{2},None}, PlotStyle->{{GrayLevel[.5], Thickne[.2]}}]; 2 LaplaceTranform[E^(2t) (u[t] - u[t-2]),t,] (-2 + ) E (-2 + ) But Mathematica couldn't take the tranform of a ine pule. It gave an incomplete anwer LaplaceTranform[Sin[t] (u[t] - u[t-2]),t,] LaplaceTranform[Sin[t] UnitStep[-2 + t], t, ] 2 +
42 page 2 of appendix to Chapter 5 Here' the invere tranform of e-5 (t-5) 3. Mathematica give the anwer 4 3! but all cubed out. u(t-5) InvereLaplaceTranform[E^(-5)/^4,,t] t 5 t t (-(---) ) UnitStep[-5 + t] Here' the invere tranform of multiple out the factorial. (-a). Anwer i e at t 9 9! but Mathematica InvereLaplaceTranform[/(-a)^,,t] a t 9 E t Here' one where Mathematica doen't get the implet poible anwer until you do a little algebra yourelf and then make it ue ome trig. InvereLaplaceTranform[Pi E^(-)/(^2 + Pi^2),,t] Sin[Pi (- + t)] UnitStep[- + t] Sin[-Pi + Pi t] u[- + t]//trigreduce -(Sin[Pi t] UnitStep[- + t])
43 page of appendix 2 to Chapter 5 APPENDIX 2 PARTIAL FRACTION DECOMPOSITION decompoition with non-repeated linear factor Let F() = (+2)(-4). There i a decompoition of the form (3) (+2)(-4) = A + B +2 + C -4 Since the factor are not repeated (i.e., there are no factor in the denominator like (+2) 2 or 3 ) it' eay to get A,B,C. You can ue any method you may remember from calculu but here' how I do it. To find A, delete the factor from the left ide of (3) and et = To find B, delete the factor +2 from the left ide of (3) and et = -2 To find C, delete the factor -4 from the left ide of (3) and et = 4. So A = (+2)(-4) = = -2-8 = 4 warning Thi method only work for non-repeated linear factor. So and B = (-4) = -2 C = (+2) =4 F() = /4 = -2 2 = - 6 = 2 - / /2-4 f(t) = [ 4-6 e-2t + ] 2 e4t u(t) decompoition with non-repeated non-factorable quadratic factor Let F() = ( ) The factor doen't factor (becaue b 2-4ac < ). decompoition of the form There i a (4) Then ( ) = A + B + C A = ( ) = = 5 To find B and C, multiply by ( ) in (4) to get = A( ) + (B + C) Equate coeff of 2 : = A + B, B = - A = - 5 Equate coeff of : = -2A + C, C = 2A = 2 5 So
44 page 2 of appendix 2 to Chapter 5 F() = / The firt term invert to 5 u(t) For the econd term, complete the quare in the denom ( ) = (-) and then rearrange the numerator a follow to ''match'' : (-) = - 5 (-) - (-) = (-) (-) Ue -hifting to get the invere tranform - 5 et co 2t u(t) + 5 Then the final invere tranform i 2 et in 2t u(t) [ 5-5 et co 2t + et in 2t u(t) ] decompoition with repeated linear factor (-5) 4 = A -5 + B (-5) 2 + C (-5) 3 + D (-5) 4 = A(-5) 3 + B(-5) 2 + C(-5) + D et = 5: equate 3 coeff: 5 = D = A equate 2 coeff: (who care) A + B =, B = et = 6: 6 = A + B + C + D, C = So (-5) 4 = (-5) (-5) 4 Ø t 2 + 5t3 2 3! e 5t u(t) decompoition with repeated non-factorable quadratic factor Too ugly.
v = x t = x 2 x 1 t 2 t 1 The average speed of the particle is absolute value of the average velocity and is given Distance travelled t
Chapter 2 Motion in One Dimenion 2.1 The Important Stuff 2.1.1 Poition, Time and Diplacement We begin our tudy of motion by conidering object which are very mall in comparion to the ize of their movement
More informationMath 22B, Homework #8 1. y 5y + 6y = 2e t
Math 22B, Homework #8 3.7 Problem # We find a particular olution of the ODE y 5y + 6y 2e t uing the method of variation of parameter and then verify the olution uing the method of undetermined coefficient.
More informationTRANSFORM AND ITS APPLICATION
LAPLACE TRANSFORM AND ITS APPLICATION IN CIRCUIT ANALYSIS C.T. Pan. Definition of the Laplace Tranform. Ueful Laplace Tranform Pair.3 Circuit Analyi in S Domain.4 The Tranfer Function and the Convolution
More informationSolution of the Heat Equation for transient conduction by LaPlace Transform
Solution of the Heat Equation for tranient conduction by LaPlace Tranform Thi notebook ha been written in Mathematica by Mark J. McCready Profeor and Chair of Chemical Engineering Univerity of Notre Dame
More informationSolutions to Sample Problems for Test 3
22 Differential Equation Intructor: Petronela Radu November 8 25 Solution to Sample Problem for Tet 3 For each of the linear ytem below find an interval in which the general olution i defined (a) x = x
More informationMECH 2110 - Statics & Dynamics
Chapter D Problem 3 Solution 1/7/8 1:8 PM MECH 11 - Static & Dynamic Chapter D Problem 3 Solution Page 7, Engineering Mechanic - Dynamic, 4th Edition, Meriam and Kraige Given: Particle moving along a traight
More informationMSc Financial Economics: International Finance. Bubbles in the Foreign Exchange Market. Anne Sibert. Revised Spring 2013. Contents
MSc Financial Economic: International Finance Bubble in the Foreign Exchange Market Anne Sibert Revied Spring 203 Content Introduction................................................. 2 The Mone Market.............................................
More information12.4 Problems. Excerpt from "Introduction to Geometry" 2014 AoPS Inc. Copyrighted Material CHAPTER 12. CIRCLES AND ANGLES
HTER 1. IRLES N NGLES Excerpt from "Introduction to Geometry" 014 os Inc. onider the circle with diameter O. all thi circle. Why mut hit O in at leat two di erent point? (b) Why i it impoible for to hit
More informationOptical Illusion. Sara Bolouki, Roger Grosse, Honglak Lee, Andrew Ng
Optical Illuion Sara Bolouki, Roger Groe, Honglak Lee, Andrew Ng. Introduction The goal of thi proect i to explain ome of the illuory phenomena uing pare coding and whitening model. Intead of the pare
More informationMixed Method of Model Reduction for Uncertain Systems
SERBIAN JOURNAL OF ELECTRICAL ENGINEERING Vol 4 No June Mixed Method of Model Reduction for Uncertain Sytem N Selvaganean Abtract: A mixed method for reducing a higher order uncertain ytem to a table reduced
More informationOn Reference RIAA Networks by Jim Hagerman
On eference IAA Network by Jim Hagerman You d think there would be nothing left to ay. Everything you need to know about IAA network ha already been publihed. However, a few year back I came acro an intereting
More informationSECTION 0.6: POLYNOMIAL, RATIONAL, AND ALGEBRAIC EXPRESSIONS
(Section 0.6: Polynomial, Rational, and Algebraic Expressions) 0.6.1 SECTION 0.6: POLYNOMIAL, RATIONAL, AND ALGEBRAIC EXPRESSIONS LEARNING OBJECTIVES Be able to identify polynomial, rational, and algebraic
More informationChapter 10 Velocity, Acceleration, and Calculus
Chapter 10 Velocity, Acceleration, and Calculu The firt derivative of poition i velocity, and the econd derivative i acceleration. Thee derivative can be viewed in four way: phyically, numerically, ymbolically,
More informationMassachusetts Institute of Technology Department of Electrical Engineering and Computer Science
aachuett Intitute of Technology Department of Electrical Engineering and Computer Science 6.685 Electric achinery Cla Note 10: Induction achine Control and Simulation c 2003 Jame L. Kirtley Jr. 1 Introduction
More informationσ m using Equation 8.1 given that σ
8. Etimate the theoretical fracture trength of a brittle material if it i known that fracture occur by the propagation of an elliptically haped urface crack of length 0.8 mm and having a tip radiu of curvature
More informationIntegrals of Rational Functions
Integrals of Rational Functions Scott R. Fulton Overview A rational function has the form where p and q are polynomials. For example, r(x) = p(x) q(x) f(x) = x2 3 x 4 + 3, g(t) = t6 + 4t 2 3, 7t 5 + 3t
More informationUnit 11 Using Linear Regression to Describe Relationships
Unit 11 Uing Linear Regreion to Decribe Relationhip Objective: To obtain and interpret the lope and intercept of the leat quare line for predicting a quantitative repone variable from a quantitative explanatory
More informationLinear Momentum and Collisions
Chapter 7 Linear Momentum and Colliion 7.1 The Important Stuff 7.1.1 Linear Momentum The linear momentum of a particle with ma m moving with velocity v i defined a p = mv (7.1) Linear momentum i a vector.
More informationPartial Fractions: Undetermined Coefficients
1. Introduction Partial Fractions: Undetermined Coefficients Not every F(s) we encounter is in the Laplace table. Partial fractions is a method for re-writing F(s) in a form suitable for the use of the
More informationYou may use a scientific calculator (non-graphing, non-programmable) during testing.
TECEP Tet Decription College Algebra MAT--TE Thi TECEP tet algebraic concept, procee, and practical application. Topic include: linear equation and inequalitie; quadratic equation; ytem of equation and
More informationA technical guide to 2014 key stage 2 to key stage 4 value added measures
A technical guide to 2014 key tage 2 to key tage 4 value added meaure CONTENTS Introduction: PAGE NO. What i value added? 2 Change to value added methodology in 2014 4 Interpretation: Interpreting chool
More informationA note on profit maximization and monotonicity for inbound call centers
A note on profit maximization and monotonicity for inbound call center Ger Koole & Aue Pot Department of Mathematic, Vrije Univeriteit Amterdam, The Netherland 23rd December 2005 Abtract We conider an
More information3.3. Solving Polynomial Equations. Introduction. Prerequisites. Learning Outcomes
Solving Polynomial Equations 3.3 Introduction Linear and quadratic equations, dealt within Sections 3.1 and 3.2, are members of a class of equations, called polynomial equations. These have the general
More informationSenior Thesis. Horse Play. Optimal Wagers and the Kelly Criterion. Author: Courtney Kempton. Supervisor: Professor Jim Morrow
Senior Thei Hore Play Optimal Wager and the Kelly Criterion Author: Courtney Kempton Supervior: Profeor Jim Morrow June 7, 20 Introduction The fundamental problem in gambling i to find betting opportunitie
More informationTIME SERIES ANALYSIS AND TRENDS BY USING SPSS PROGRAMME
TIME SERIES ANALYSIS AND TRENDS BY USING SPSS PROGRAMME RADMILA KOCURKOVÁ Sileian Univerity in Opava School of Buine Adminitration in Karviná Department of Mathematical Method in Economic Czech Republic
More informationSecond Order Linear Nonhomogeneous Differential Equations; Method of Undetermined Coefficients. y + p(t) y + q(t) y = g(t), g(t) 0.
Second Order Linear Nonhomogeneous Differential Equations; Method of Undetermined Coefficients We will now turn our attention to nonhomogeneous second order linear equations, equations with the standard
More informationDelft. Matlab and Simulink for Modeling and Control. Robert Babuška and Stefano Stramigioli. November 1999
Matlab and Simulink for Modeling and Control Robert Babuška and Stefano Stramigioli November 999 Delft Delft Univerity of Technology Control Laboratory Faculty of Information Technology and Sytem Delft
More informationOhm s Law. Ohmic relationship V=IR. Electric Power. Non Ohmic devises. Schematic representation. Electric Power
Ohm Law Ohmic relationhip V=IR Ohm law tate that current through the conductor i directly proportional to the voltage acro it if temperature and other phyical condition do not change. In many material,
More information6. Friction, Experiment and Theory
6. Friction, Experiment and Theory The lab thi wee invetigate the rictional orce and the phyical interpretation o the coeicient o riction. We will mae ue o the concept o the orce o gravity, the normal
More informationTwo Dimensional FEM Simulation of Ultrasonic Wave Propagation in Isotropic Solid Media using COMSOL
Excerpt from the Proceeding of the COMSO Conference 0 India Two Dimenional FEM Simulation of Ultraonic Wave Propagation in Iotropic Solid Media uing COMSO Bikah Ghoe *, Krihnan Balaubramaniam *, C V Krihnamurthy
More informationLinear Algebra Notes for Marsden and Tromba Vector Calculus
Linear Algebra Notes for Marsden and Tromba Vector Calculus n-dimensional Euclidean Space and Matrices Definition of n space As was learned in Math b, a point in Euclidean three space can be thought of
More informationThe Method of Partial Fractions Math 121 Calculus II Spring 2015
Rational functions. as The Method of Partial Fractions Math 11 Calculus II Spring 015 Recall that a rational function is a quotient of two polynomials such f(x) g(x) = 3x5 + x 3 + 16x x 60. The method
More informationSo far, we have looked at homogeneous equations
Chapter 3.6: equations Non-homogeneous So far, we have looked at homogeneous equations L[y] = y + p(t)y + q(t)y = 0. Homogeneous means that the right side is zero. Linear homogeneous equations satisfy
More informationIncline and Friction Examples
Incline and riction Eample Phic 6A Prepared b Vince Zaccone riction i a force that oppoe the motion of urface that are in contact with each other. We will conider 2 tpe of friction in thi cla: KINETIC
More informationPhysics 111. Exam #1. January 24, 2014
Phyic 111 Exam #1 January 24, 2014 Name Pleae read and follow thee intruction carefully: Read all problem carefully before attempting to olve them. Your work mut be legible, and the organization clear.
More informationName: SID: Instructions
CS168 Fall 2014 Homework 1 Aigned: Wedneday, 10 September 2014 Due: Monday, 22 September 2014 Name: SID: Dicuion Section (Day/Time): Intruction - Submit thi homework uing Pandagrader/GradeScope(http://www.gradecope.com/
More informationFigure 2.1. a. Block diagram representation of a system; b. block diagram representation of an interconnection of subsystems
Figure. a. Block diagram repreentation o a ytem; b. block diagram repreentation o an interconnection o ubytem REVIEW OF THE LAPLACE TRANSFORM Table. Laplace tranorm table Table. Laplace tranorm theorem
More informationORDINARY DIFFERENTIAL EQUATIONS
ORDINARY DIFFERENTIAL EQUATIONS GABRIEL NAGY Mathematics Department, Michigan State University, East Lansing, MI, 48824. SEPTEMBER 4, 25 Summary. This is an introduction to ordinary differential equations.
More informationCASE STUDY BRIDGE. www.future-processing.com
CASE STUDY BRIDGE TABLE OF CONTENTS #1 ABOUT THE CLIENT 3 #2 ABOUT THE PROJECT 4 #3 OUR ROLE 5 #4 RESULT OF OUR COLLABORATION 6-7 #5 THE BUSINESS PROBLEM THAT WE SOLVED 8 #6 CHALLENGES 9 #7 VISUAL IDENTIFICATION
More informationTables of Common Transform Pairs
ble of Common rnform Pir 0 by Mrc Ph. Stoecklin mrc toecklin.net http://www.toecklin.net/ 0--0 verion v.5.3 Engineer nd tudent in communiction nd mthemtic re confronted with tion uch the -rnform, the ourier,
More informationDefinition 8.1 Two inequalities are equivalent if they have the same solution set. Add or Subtract the same value on both sides of the inequality.
8 Inequalities Concepts: Equivalent Inequalities Linear and Nonlinear Inequalities Absolute Value Inequalities (Sections 4.6 and 1.1) 8.1 Equivalent Inequalities Definition 8.1 Two inequalities are equivalent
More informationA Note on Profit Maximization and Monotonicity for Inbound Call Centers
OPERATIONS RESEARCH Vol. 59, No. 5, September October 2011, pp. 1304 1308 in 0030-364X ein 1526-5463 11 5905 1304 http://dx.doi.org/10.1287/opre.1110.0990 2011 INFORMS TECHNICAL NOTE INFORMS hold copyright
More informationThe Nonlinear Pendulum
The Nonlinear Pendulum D.G. Simpon, Ph.D. Department of Phyical Science and Enineerin Prince Geore ommunity ollee December 31, 1 1 The Simple Plane Pendulum A imple plane pendulum conit, ideally, of a
More informationAssessing the Discriminatory Power of Credit Scores
Aeing the Dicriminatory Power of Credit Score Holger Kraft 1, Gerald Kroiandt 1, Marlene Müller 1,2 1 Fraunhofer Intitut für Techno- und Wirtchaftmathematik (ITWM) Gottlieb-Daimler-Str. 49, 67663 Kaierlautern,
More informationPartial optimal labeling search for a NP-hard subclass of (max,+) problems
Partial optimal labeling earch for a NP-hard ubcla of (max,+) problem Ivan Kovtun International Reearch and Training Center of Information Technologie and Sytem, Kiev, Uraine, ovtun@image.iev.ua Dreden
More informationProject Management Basics
Project Management Baic A Guide to undertanding the baic component of effective project management and the key to ucce 1 Content 1.0 Who hould read thi Guide... 3 1.1 Overview... 3 1.2 Project Management
More informationReport 4668-1b 30.10.2010. Measurement report. Sylomer - field test
Report 4668-1b Meaurement report Sylomer - field tet Report 4668-1b 2(16) Contet 1 Introduction... 3 1.1 Cutomer... 3 1.2 The ite and purpoe of the meaurement... 3 2 Meaurement... 6 2.1 Attenuation of
More informationModule 8. Three-phase Induction Motor. Version 2 EE IIT, Kharagpur
Module 8 Three-phae Induction Motor Verion EE IIT, Kharagpur Leon 33 Different Type of Starter for Induction Motor (IM Verion EE IIT, Kharagpur Inructional Objective Need of uing arter for Induction motor
More informationCHAPTER 5 BROADBAND CLASS-E AMPLIFIER
CHAPTER 5 BROADBAND CLASS-E AMPLIFIER 5.0 Introduction Cla-E amplifier wa firt preented by Sokal in 1975. The application of cla- E amplifier were limited to the VHF band. At thi range of frequency, cla-e
More informationHOMOTOPY PERTURBATION METHOD FOR SOLVING A MODEL FOR HIV INFECTION OF CD4 + T CELLS
İtanbul icaret Üniveritei Fen Bilimleri Dergii Yıl: 6 Sayı: Güz 7/. 9-5 HOMOOPY PERURBAION MEHOD FOR SOLVING A MODEL FOR HIV INFECION OF CD4 + CELLS Mehmet MERDAN ABSRAC In thi article, homotopy perturbation
More informationMATRIX ALGEBRA AND SYSTEMS OF EQUATIONS
MATRIX ALGEBRA AND SYSTEMS OF EQUATIONS Systems of Equations and Matrices Representation of a linear system The general system of m equations in n unknowns can be written a x + a 2 x 2 + + a n x n b a
More informationDecomposing Rational Functions into Partial Fractions:
Prof. Keely's Math Online Lessons University of Phoenix Online & Clark College, Vancouver WA Copyright 2003 Sally J. Keely. All Rights Reserved. COLLEGE ALGEBRA Hi! Today's topic is highly structured and
More informationMATRIX ALGEBRA AND SYSTEMS OF EQUATIONS. + + x 2. x n. a 11 a 12 a 1n b 1 a 21 a 22 a 2n b 2 a 31 a 32 a 3n b 3. a m1 a m2 a mn b m
MATRIX ALGEBRA AND SYSTEMS OF EQUATIONS 1. SYSTEMS OF EQUATIONS AND MATRICES 1.1. Representation of a linear system. The general system of m equations in n unknowns can be written a 11 x 1 + a 12 x 2 +
More information2. METHOD DATA COLLECTION
Key to learning in pecific ubject area of engineering education an example from electrical engineering Anna-Karin Cartenen,, and Jonte Bernhard, School of Engineering, Jönköping Univerity, S- Jönköping,
More information6.1 Add & Subtract Polynomial Expression & Functions
6.1 Add & Subtract Polynomial Expression & Functions Objectives 1. Know the meaning of the words term, monomial, binomial, trinomial, polynomial, degree, coefficient, like terms, polynomial funciton, quardrtic
More informationChapter 10 Stocks and Their Valuation ANSWERS TO END-OF-CHAPTER QUESTIONS
Chapter Stoc and Their Valuation ANSWERS TO EN-OF-CHAPTER QUESTIONS - a. A proxy i a document giving one peron the authority to act for another, typically the power to vote hare of common toc. If earning
More informationReview of Multiple Regression Richard Williams, University of Notre Dame, http://www3.nd.edu/~rwilliam/ Last revised January 13, 2015
Review of Multiple Regreion Richard William, Univerity of Notre Dame, http://www3.nd.edu/~rwilliam/ Lat revied January 13, 015 Aumption about prior nowledge. Thi handout attempt to ummarize and yntheize
More informationIMPORTANT: Read page 2 ASAP. *Please feel free to email (longo.physics@gmail.com) me at any time if you have questions or concerns.
rev. 05/4/16 AP Phyic C: Mechanic Summer Aignment 016-017 Mr. Longo Foret Park HS longo.phyic@gmail.com longodb@pwc.edu Welcome to AP Phyic C: Mechanic. The purpoe of thi ummer aignment i to give you a
More informationexpression is written horizontally. The Last terms ((2)( 4)) because they are the last terms of the two polynomials. This is called the FOIL method.
A polynomial of degree n (in one variable, with real coefficients) is an expression of the form: a n x n + a n 1 x n 1 + a n 2 x n 2 + + a 2 x 2 + a 1 x + a 0 where a n, a n 1, a n 2, a 2, a 1, a 0 are
More informationCASE STUDY ALLOCATE SOFTWARE
CASE STUDY ALLOCATE SOFTWARE allocate caetud y TABLE OF CONTENTS #1 ABOUT THE CLIENT #2 OUR ROLE #3 EFFECTS OF OUR COOPERATION #4 BUSINESS PROBLEM THAT WE SOLVED #5 CHALLENGES #6 WORKING IN SCRUM #7 WHAT
More informationReview of Fundamental Mathematics
Review of Fundamental Mathematics As explained in the Preface and in Chapter 1 of your textbook, managerial economics applies microeconomic theory to business decision making. The decision-making tools
More informationSimulation of Power Systems Dynamics using Dynamic Phasor Models. Power Systems Laboratory. ETH Zürich Switzerland
X SEPOPE 2 a 25 de maio de 26 May 2 rt to 25 th 26 FLORIANÓPOLIS (SC) BRASIL X SIMPÓSIO DE ESPECIALISTAS EM PLANEJAMENTO DA OPERAÇÃO E EXPANSÃO ELÉTRICA X SYMPOSIUM OF SPECIALISTS IN ELECTRIC OPERATIONAL
More information3.2. Solving quadratic equations. Introduction. Prerequisites. Learning Outcomes. Learning Style
Solving quadratic equations 3.2 Introduction A quadratic equation is one which can be written in the form ax 2 + bx + c = 0 where a, b and c are numbers and x is the unknown whose value(s) we wish to find.
More informationLaplace Transform. f(t)e st dt,
Chapter 7 Laplace Tranform The Laplace tranform can be ued to olve differential equation. Beide being a different and efficient alternative to variation of parameter and undetermined coefficient, the Laplace
More information1 Lecture: Integration of rational functions by decomposition
Lecture: Integration of rational functions by decomposition into partial fractions Recognize and integrate basic rational functions, except when the denominator is a power of an irreducible quadratic.
More informationDesign of Compound Hyperchaotic System with Application in Secure Data Transmission Systems
Deign of Compound Hyperchaotic Sytem with Application in Secure Data Tranmiion Sytem D. Chantov Key Word. Lyapunov exponent; hyperchaotic ytem; chaotic ynchronization; chaotic witching. Abtract. In thi
More informationWhat are the place values to the left of the decimal point and their associated powers of ten?
The verbal answers to all of the following questions should be memorized before completion of algebra. Answers that are not memorized will hinder your ability to succeed in geometry and algebra. (Everything
More informationScheduling of Jobs and Maintenance Activities on Parallel Machines
Scheduling of Job and Maintenance Activitie on Parallel Machine Chung-Yee Lee* Department of Indutrial Engineering Texa A&M Univerity College Station, TX 77843-3131 cylee@ac.tamu.edu Zhi-Long Chen** Department
More informationTurbulent Mixing and Chemical Reaction in Stirred Tanks
Turbulent Mixing and Chemical Reaction in Stirred Tank André Bakker Julian B. Faano Blend time and chemical product ditribution in turbulent agitated veel can be predicted with the aid of Computational
More informationHigher Order Equations
Higher Order Equations We briefly consider how what we have done with order two equations generalizes to higher order linear equations. Fortunately, the generalization is very straightforward: 1. Theory.
More informationLinear energy-preserving integrators for Poisson systems
BIT manucript No. (will be inerted by the editor Linear energy-preerving integrator for Poion ytem David Cohen Ernt Hairer Received: date / Accepted: date Abtract For Hamiltonian ytem with non-canonical
More informationThis is a square root. The number under the radical is 9. (An asterisk * means multiply.)
Page of Review of Radical Expressions and Equations Skills involving radicals can be divided into the following groups: Evaluate square roots or higher order roots. Simplify radical expressions. Rationalize
More informationThree Phase Theory - Professor J R Lucas
Three Phae Theory - Profeor J Luca A you are aware, to tranit power with ingle phae alternating current, we need two wire live wire and neutral. However you would have een that ditribution line uually
More informationYear 9 set 1 Mathematics notes, to accompany the 9H book.
Part 1: Year 9 set 1 Mathematics notes, to accompany the 9H book. equations 1. (p.1), 1.6 (p. 44), 4.6 (p.196) sequences 3. (p.115) Pupils use the Elmwood Press Essential Maths book by David Raymer (9H
More informationControl of Wireless Networks with Flow Level Dynamics under Constant Time Scheduling
Control of Wirele Network with Flow Level Dynamic under Contant Time Scheduling Long Le and Ravi R. Mazumdar Department of Electrical and Computer Engineering Univerity of Waterloo,Waterloo, ON, Canada
More informationTap Into Smartphone Demand: Mobile-izing Enterprise Websites by Using Flexible, Open Source Platforms
Tap Into Smartphone Demand: Mobile-izing Enterprie Webite by Uing Flexible, Open Source Platform acquia.com 888.922.7842 1.781.238.8600 25 Corporate Drive, Burlington, MA 01803 Tap Into Smartphone Demand:
More informationRedesigning Ratings: Assessing the Discriminatory Power of Credit Scores under Censoring
Redeigning Rating: Aeing the Dicriminatory Power of Credit Score under Cenoring Holger Kraft, Gerald Kroiandt, Marlene Müller Fraunhofer Intitut für Techno- und Wirtchaftmathematik (ITWM) Thi verion: June
More informationMATH 10034 Fundamental Mathematics IV
MATH 0034 Fundamental Mathematics IV http://www.math.kent.edu/ebooks/0034/funmath4.pdf Department of Mathematical Sciences Kent State University January 2, 2009 ii Contents To the Instructor v Polynomials.
More informationContinued Fractions and the Euclidean Algorithm
Continued Fractions and the Euclidean Algorithm Lecture notes prepared for MATH 326, Spring 997 Department of Mathematics and Statistics University at Albany William F Hammond Table of Contents Introduction
More informationOUTPUT STREAM OF BINDING NEURON WITH DELAYED FEEDBACK
binding neuron, biological and medical cybernetic, interpike interval ditribution, complex ytem, cognition and ytem Alexander VIDYBIDA OUTPUT STREAM OF BINDING NEURON WITH DELAYED FEEDBACK A binding neuron
More informationDRAFT. Algebra 1 EOC Item Specifications
DRAFT Algebra 1 EOC Item Specifications The draft Florida Standards Assessment (FSA) Test Item Specifications (Specifications) are based upon the Florida Standards and the Florida Course Descriptions as
More informationDigital Communication Systems
Digital Communication Sytem The term digital communication cover a broad area of communication technique, including digital tranmiion and digital radio. Digital tranmiion, i the tranmitted of digital pule
More informationMathematics Review for MS Finance Students
Mathematics Review for MS Finance Students Anthony M. Marino Department of Finance and Business Economics Marshall School of Business Lecture 1: Introductory Material Sets The Real Number System Functions,
More informationCOMPLEX NUMBERS AND DIFFERENTIAL EQUATIONS
COMPLEX NUMBERS AND DIFFERENTIAL EQUATIONS BORIS HASSELBLATT CONTENTS. Introduction. Why complex numbers were introduced 3. Complex numbers, Euler s formula 3 4. Homogeneous differential equations 8 5.
More informationA) When two objects slide against one another, the magnitude of the frictional force is always equal to μ
Phyic 100 Homewor 5 Chapter 6 Contact Force Introduced ) When two object lide againt one another, the magnitude of the frictional force i alway equal to μ B) When two object are in contact with no relative
More informationAlgebra Unpacked Content For the new Common Core standards that will be effective in all North Carolina schools in the 2012-13 school year.
This document is designed to help North Carolina educators teach the Common Core (Standard Course of Study). NCDPI staff are continually updating and improving these tools to better serve teachers. Algebra
More informationEquations, Inequalities & Partial Fractions
Contents Equations, Inequalities & Partial Fractions.1 Solving Linear Equations 2.2 Solving Quadratic Equations 1. Solving Polynomial Equations 1.4 Solving Simultaneous Linear Equations 42.5 Solving Inequalities
More informationMicroeconomic Theory: Basic Math Concepts
Microeconomic Theory: Basic Math Concepts Matt Van Essen University of Alabama Van Essen (U of A) Basic Math Concepts 1 / 66 Basic Math Concepts In this lecture we will review some basic mathematical concepts
More information1.3 Algebraic Expressions
1.3 Algebraic Expressions A polynomial is an expression of the form: a n x n + a n 1 x n 1 +... + a 2 x 2 + a 1 x + a 0 The numbers a 1, a 2,..., a n are called coefficients. Each of the separate parts,
More informationDesign of The Feedback Controller (PID Controller) for The Buck Boost Converter
Deign of The Feedback Controller (PID Controller) for The Buck Boot Converter )Sattar Jaber Al-Iawi ) Ehan A. Abd Al-Nabi Department of Electromechanical Eng. The High Intitute for Indutry-Libya-Mirata
More informationLecture 5 Rational functions and partial fraction expansion
S. Boyd EE102 Lecture 5 Rational functions and partial fraction expansion (review of) polynomials rational functions pole-zero plots partial fraction expansion repeated poles nonproper rational functions
More informationHW6 Solutions. MATH 20D Fall 2013 Prof: Sun Hui TA: Zezhou Zhang (David) November 14, 2013. Checklist: Section 7.8: 1c, 2, 7, 10, [16]
HW6 Solutions MATH D Fall 3 Prof: Sun Hui TA: Zezhou Zhang David November 4, 3 Checklist: Section 7.8: c,, 7,, [6] Section 7.9:, 3, 7, 9 Section 7.8 In Problems 7.8. thru 4: a Draw a direction field and
More informationRisk Management for a Global Supply Chain Planning under Uncertainty: Models and Algorithms
Rik Management for a Global Supply Chain Planning under Uncertainty: Model and Algorithm Fengqi You 1, John M. Waick 2, Ignacio E. Gromann 1* 1 Dept. of Chemical Engineering, Carnegie Mellon Univerity,
More informationMethod To Solve Linear, Polynomial, or Absolute Value Inequalities:
Solving Inequalities An inequality is the result of replacing the = sign in an equation with ,, or. For example, 3x 2 < 7 is a linear inequality. We call it linear because if the < were replaced with
More information3.6. Partial Fractions. Introduction. Prerequisites. Learning Outcomes
Partial Fractions 3.6 Introduction It is often helpful to break down a complicated algebraic fraction into a sum of simpler fractions. For 4x + 7 example it can be shown that x 2 + 3x + 2 has the same
More informationVocabulary Words and Definitions for Algebra
Name: Period: Vocabulary Words and s for Algebra Absolute Value Additive Inverse Algebraic Expression Ascending Order Associative Property Axis of Symmetry Base Binomial Coefficient Combine Like Terms
More informationBEGINNING ALGEBRA ACKNOWLEDMENTS
BEGINNING ALGEBRA The Nursing Department of Labouré College requested the Department of Academic Planning and Support Services to help with mathematics preparatory materials for its Bachelor of Science
More informationFactoring Finite State Machines
Chapter 17 Factoring Finite State Machine Factoring a tate machine i the proce of plitting the machine into two or more impler machine. Factoring can greatly implify the deign of a tate machine by eparating
More informationThe integrating factor method (Sect. 2.1).
The integrating factor method (Sect. 2.1). Overview of differential equations. Linear Ordinary Differential Equations. The integrating factor method. Constant coefficients. The Initial Value Problem. Variable
More informationLecture 14: Transformers. Ideal Transformers
White, EE 3 Lecture 14 Page 1 of 9 Lecture 14: Tranforer. deal Tranforer n general, a tranforer i a ultiort ac device that convert voltage, current and iedance fro one value to another. Thi device only
More information