Second Order Linear Differential Equations

Size: px
Start display at page:

Download "Second Order Linear Differential Equations"

Transcription

1 Second Order Linear Differenial Equaions Second order linear equaions wih consan coefficiens; Fundamenal soluions; Wronskian; Exisence and Uniqueness of soluions; he characerisic equaion; soluions of homogeneous linear equaions; reducion of order; Euler equaions In his chaper we will sud ordinar differenial equaions of he sandard form below, known as he second order linear equaions: + p() + q() = g(). Homogeneous Equaions: If g() = 0, hen he equaion above becomes + p() + q() = 0. I is called a homogeneous equaion. Oherwise, he equaion is nonhomogeneous (or inhomogeneous). Trivial Soluion: For he homogeneous equaion above, noe ha he funcion () = 0 alwas saisfies he given equaion, regardless wha p() and q() are. This consan zero soluion is called he rivial soluion of such an equaion. 008, 06 Zachar S Tseng B- -

2 Second Order Linear Homogeneous Differenial Equaions wih Consan Coefficiens For he mos par, we will onl learn how o solve second order linear equaion wih consan coefficiens (ha is, when p() and q() are consans). Since a homogeneous equaion is easier o solve compares o is nonhomogeneous counerpar, we sar wih second order linear homogeneous equaions ha conain consan coefficiens onl: a + b + c = 0. Where a, b, and c are consans, a 0. A ver simple insance of such pe of equaions is = 0. The equaion s soluion is an funcion saisfing he equali =. Obviousl = e is a soluion, and so is an consan muliple of i, C e. No as obvious, bu sill eas o see, is ha = e is anoher soluion (and so is an funcion of he form C e ). I can be easil verified ha an funcion of he form = C e + C e will saisf he equaion. In fac, his is he general soluion of he above differenial equaion. Commen: Unlike firs order equaions we have seen previousl, he general soluion of a second order equaion has wo arbirar coefficiens. 008, 06 Zachar S Tseng B- -

3 Principle of Superposiion: If and are an wo soluions of he homogeneous equaion + p() + q() = 0. Then an funcion of he form = C + C is also a soluion of he equaion, for an pair of consans C and C. Tha is, for a homogeneous linear equaion, an muliple of a soluion is again a soluion; an sum/difference of wo soluions is again a soluion; and he sum / difference of he muliples of an wo soluions is again a soluion. (This principle holds rue for a homogeneous linear equaion of an order; i is no a proper limied onl o a second order equaion. I, however, does no hold, in general, for soluions of a nonhomogeneous linear equaion.) Noe: However, while he general soluion of + p() + q() = 0 will alwas be in he form of C + C, where and are some soluions of he equaion, he converse is no alwas rue. No ever pair of soluions and could be used o give a general soluion in he form = C + C. We shall see shorl he exac condiion ha and mus saisf ha would give us a general soluion of his form. Fac: The general soluion of a second order equaion conains wo arbirar consans / coefficiens. To find a paricular soluion, herefore, requires wo iniial values. The iniial condiions for a second order equaion will appear in he form: ( 0 ) = 0, and ( 0 ) = 0. Quesion: Jus b inspecion, can ou hink of wo (or more) funcions ha saisf he equaion + 4 = 0? (Hin: A soluion of his equaion is a funcion φ such ha φ = 4 φ.) 008, 06 Zachar S Tseng B- - 3

4 Example: Find he general soluion of 5 = 0. There is no need o guess an answer here. We acuall know a wa o solve he equaion alread. Observe ha if we le u =, hen u =. Subsiue hem ino he equaion and we ge a new equaion: u 5 u = 0. This is a firs order linear equaion wih p() = 5 and g() = 0. (!) The inegraing facor is µ = e ( ( ) g( ) d) = e ( 0 d) = e ( C) Ce u( ) = = µ ( ) µ The acual soluion is given b he relaion u =, and can be found b inegraion: 5 C 5 5 ( ) = u( ) d = Ce d = e + C = C e + C. 5 The mehod used in he above example can be used o solve an second order linear equaion of he form + p() = g(), regardless wheher is coefficiens are consan or nonconsan, or i is a homogeneous equaion or nonhomogeneous. 008, 06 Zachar S Tseng B- - 4

5 Equaions of nonconsan coefficiens wih missing -erm If he -erm (ha is, he dependen variable erm) is missing in a second order linear equaion, hen he equaion can be readil convered ino a firs order linear equaion and solved using he inegraing facor mehod. Example: + 4 = The sandard form is 4 Subsiue: u + u= 4 + =. 4 p( ) =, g() = Inegraing facor is µ = ( d) = + C = + C u ( ) = Finall, C ( ) = u( ) d = + C = + C C Commen: Noice he above soluion is no in he form of = C + C. There is nohing wrong wih his, because his equaion is no homogeneous. The general soluion of a nonhomogeneous linear equaion has a slighl differen form. We will learn abou he soluions of nonhomogeneous linear equaions a bi laer. 008, 06 Zachar S Tseng B- - 5

6 In general, given a second order linear equaion wih he -erm missing + p() = g(), we can solve i b he subsiuions u = and u = o change he equaion o a firs order linear equaion. Use he inegraing facor mehod o solve for u, and hen inegrae u o find. Tha is:. Subsiue : u + p() u = g(). Inegraing facor: µ ( ) = e p( ) d 3. Solve for u: u( ) = µ ( ) g( ) d + µ ( ) ( C) 4. Inegrae: () = u() d This mehod works regardless wheher he coefficiens are consan or nonconsan, or if he equaion is nonhomogeneous. 008, 06 Zachar S Tseng B- - 6

7 The Characerisic Polnomial Back o he subjec of he second order linear homogeneous equaions wih consan coefficiens (noe ha i is no in he sandard form below): a + b + c = 0, a 0. (*) We have seen a few examples of such an equaion. In all cases he soluions consis of exponenial funcions, or erms ha could be rewrien ino exponenial funcions. Wih his fac in mind, le us derive a (ver simple, as i urns ou) mehod o solve equaions of his pe. We will sar wih he assumpion ha here are indeed some exponenial funcions of unknown exponens ha would saisf an equaion of he above form. We will hen devise a wa o find he specific exponens ha would give us he soluion. Le = e r be a soluion of (*), for some as-e-unknown consan r. Subsiue, = r e r, and = r e r ino (*), we ge a r e r + b r e r + c e r = 0, or e r (a r + b r + c ) = 0. Since e r is never zero, he above equaion is saisfied (and herefore = e r is a soluion of (*)) if and onl if a r + b r + c = 0. Noice ha he expression a r + b r + c is a quadraic polnomial wih r as he unknown. I is alwas solvable, wih roos given b he quadraic formula. Hence, we can alwas solve a second order linear homogeneous equaion wih consan coefficiens (*). Sine and cosine are relaed o exponenial funcions b he ideniies iθ iθ e e sinθ = and i iθ iθ e + e cosθ =. 008, 06 Zachar S Tseng B- - 7

8 This polnomial, a r + b r + c, is called he characerisic polnomial of he differenial equaion (*). The equaion a r + b r + c = 0 is called he characerisic equaion of (*). Each and ever roo, someimes called a characerisic roo, r, of he characerisic polnomial gives rise o a soluion = e r of (*). We will ake a more deailed look of he 3 possible cases of he soluions husl found:. (When b 4 ac > 0) There are wo disinc real roos r, r.. (When b 4 ac < 0) There are wo complex conjugae roos r = λ ± µi. 3. (When b 4 ac = 0) There is one repeaed real roo r. Noe: There is no need o pu he equaion in is sandard form when solving i using he characerisic equaion mehod. The roos of he characerisic equaion remain he same regardless wheher he leading coefficien is or no. 008, 06 Zachar S Tseng B- - 8

9 Case Two disinc real roos When b 4 ac > 0, he characerisic polnomial have wo disinc real roos r, r. The give wo disinc r soluions = e and r = e. Therefore, a general soluion of (*) is r + C = Ce + = C C e. r I is ha eas. Example: = 0 The characerisic equaion is r + 5 r + 4 = (r + )(r + 4) = 0, he roos of he polnomial are r = and 4. The general soluion is hen = C e + C e 4. Suppose here are iniial condiions (0) =, (0) = 7. A unique paricular soluion can be found b solving for C and C using he iniial condiions. Firs we need o calculae = C e 4C e 4, hen appl he iniial values: = (0) = C e 0 + C e 0 = C + C 7 = (0) = C e 0 4C e 0 = C 4C The soluion is C =, and C = = e + e 4. We shall see he precise meaning of disincness in he nex secion. For now jus hink ha he wo soluions are no consan muliples of each oher. 008, 06 Zachar S Tseng B- - 9

10 Quesion: Suppose he iniial condiions are insead (0000) =, (0000) = 7. How would he new 0 change he paricular soluion? Appl he iniial condiions as before, and we see here is a lile complicaion. Namel, he simulaneous ssem of equaions ha we have o solve in order o find C and C now comes wih raher inconvenien irraional coefficiens: = (0000) = C e C e = (0000) = C e C e Wih some good bookkeeping, ssems like his can be solved he usual wa. However, here is an easier mehod o simplif he inconvenien coefficiens. The idea is ranslaion (or ime-shif). Wha we will do is o firs consruc a new coordinae axis, sa Ť-axis. The wo coordinae-axes are relaed b he equaion Ť = 0. (Therefore, when = 0, Ť = 0; ha is, he iniial -value 0 becomes he new origin.) In oher words, we ranslae (or ime-shif) - axis b 0 unis o make i Ť-axis. In his example, we will accordingl se Ť = The immediae effec is ha i makes he iniial condiions o be back a 0: (0) =, (0) = 7, wih respec o he new Ť-coordinae. We hen solve he ranslaed ssem of equaions o find C and C. Wha we ge is he (simpler) ssem = (0) = C e 0 + C e 0 = C + C 7 = (0) = C e 0 4C e 0 = C 4C As we have seen on he previous page, he soluion is C =, and C =. Hence, he soluion, in he new Ť-coordinae ssem, is (Ť) = e Ť + e 4Ť. Lasl, since his soluion is in erms of Ť, bu he original problem was in erms of, we should conver i back o he original conex. This conversion is easil achieved using he ranslaion formula used earlier, Ť = 0 = B replacing ever occurrence of Ť b 000 in he soluion, we obain he soluion, in is proper independen variable. () = e ( 0000) + e 4( 0000). 008, 06 Zachar S Tseng B- - 0

11 Example: Consider he soluion () of he iniial value problem 8 = 0, (0) = α, (0) = π. Depending on he value of α, as, here are 3 possible behaviors of (). Explicil deermine he possible behaviors and he respecive iniial value α associaed wih each behavior. The characerisic equaion is r r 8 = (r + )(r 4) = 0. Is roos are r = and 4. The general soluion is hen = C e + C e 4. Noice ha he long-erm behavior of he soluion is dependen on he coefficien C onl, since he C e erm ends o 0 as, regardless of he value of C. Solving for C in erms of α, we ge (0) = α = C + C (0) = π = C + 4C α + π = 6C α +π C =. 3 Now, if C > 0 hen ends o as. This would happen when α > π. If C = 0 hen ends o 0 as. This would happen when α = π. Lasl, if C < 0 hen ends o as. This would happen when α < π. In summar: When α > π, C > 0, lim ( ) =. When α = π, C = 0, lim ( ) = 0. When α < π, C < 0, lim ( ) =. 008, 06 Zachar S Tseng B- -

12 The Exisence and Uniqueness (of he soluion of a second order linear equaion iniial value problem) A sibling heorem of he firs order linear equaion Exisence and Uniqueness Theorem Theorem: Consider he iniial value problem + p() + q() = g(), ( 0 ) = 0, ( 0 ) = 0. If he funcions p, q, and g are coninuous on he inerval I: α < < β conaining he poin = 0. Then here exiss a unique soluion = φ() of he problem, and ha his soluion exiss hroughou he inerval I. Tha is, he heorem guaranees ha he given iniial value problem will alwas have (exisence of) exacl one (uniqueness) wice-differeniable soluion, on an inerval conaining 0 as long as all hree funcions p(), q(), and g() are coninuous on he same inerval. Conversel, neiher exisence nor uniqueness of a soluion is guaraneed a a disconinui of p(), q(), or g(). Examples: For each IVP below, find he larges inerval on which a unique soluion is guaraneed o exis. (a) ( + ) + + co() = +, () =, () =. The sandard form is cos( ) =, and + ( + )sin( ) + 0 =. The disconinuiies of p, q, and g are =, 0, ±π, ±π, ±3π The larges inerval ha conains 0 = bu none of he disconinuiies is, herefore, (0, π). 008, 06 Zachar S Tseng B- -

13 (b) 6 + ln( + ) + cos( ) = 0, (0) =, (0) = 0. ln( + ) cos( ) The sandard form is + + = 0, p() is onl 6 6 defined (and is coninuous) on he inerval (, 4), and similarl q() is onl coninuousl defined on he inerval ( 4, 4); g() is coninuous everwhere. Combining hem we see ha p, q, and g have disconinuiies a an such ha or 4. Tha is, he are all coninuous onl on he inerval (, 4). Since ha inerval conains 0 = 0, i mus be he larges inerval on which he soluion is guaraneed o exis uniquel. Therefore, he answer is (, 4) Similar o he previous insance (firs order linear equaion version) of he Exisence and Uniqueness Theorem, he onl ime ha a unique soluion is no guaraneed o exis anwhere is whenever he iniial ime 0 occurs a a disconinui of eiher p(), q(), or g(). Iniial Value Problem vs. Boundar Value Problem I migh seem ha here are more han one was o presen he iniial condiions of a second order equaion. Insead of locaing boh iniial condiions ( 0 ) = 0 and ( 0 ) = 0 a he same poin 0, couldn we ake hem a differen poins, for examples ( 0 ) = 0 and ( ) = ; or ( 0 ) = 0 and ( ) =? The answer is NO. All he iniial condiions in an iniial value problem mus be aken a he same poin 0. The ses of condiions above where he values are aken a differen poins are known as boundar condiions. A boundar value problem where a differenial equaion is bundled wih (wo or more) boundar condiions does no have he exisence and uniqueness guaranee. Example: Ever funcion of he form = C sin(), where C is a real number saisfies he boundar value problem + = 0, (0) = 0 and (π) = 0. Therefore, he problem has infiniel man soluions, even hough p() = 0, q() =, and g() = 0 are all coninuous everwhere. 008, 06 Zachar S Tseng B- - 3

14 Exercises B.-: 4 Find he general soluion of each equaion =. 9 = = = Solve each iniial value problem. For each problem, sae he larges inerval in which he soluion is guaraneed o uniquel exis = 3 e /, (0) = 4, (0) = = e, (0) = 6, (0) = 7. = +, () =, () = 5 8. = 0, (0) =, (0) = 7 9. ( + 9) + = 0, (3) = π, (3) = /3 0 5 Solve each iniial value problem = 0, (0) =, (0) = 0. + = 0, (π) =, (π) = = 0, (0) =, (0) = = 0, (π) =, (π) = = 0, (0) = 6, (0) = = 0, (8) = 6, (8) = 6 008, 06 Zachar S Tseng B- - 4

15 6. Wihou solving he given iniial value problem, wha is he larges inerval in which a unique soluion is guaraneed o exis? ( + 0) (5 ) + ln = e cos, (a) () =, () = 0 (b) ( 9) = 3, ( 9) = (c) (.5) =, (.5) = 4 7. Prove he Principle of Superposiion: If and are an wo soluions of he homogeneous equaion + p() + q() = 0. Then an funcion of he form = C + C is also a soluion of he equaion, for an pair of consans C and C. 008, 06 Zachar S Tseng B- - 5

16 Answers B-.: 3 0. = + + Ce + C = C e 3 + C e 3 3. = C e + C e 5 4. = C e /3 / + C e 5. = e e /, (, ) 6. = e + 6, (, ) = + + ln, (0, ) = 3e e, (, ) 9. = 4an + π, (, ) 3 0. = 4e 3 + e 4. = 4e 3( π) 4( π) + e. = 4e 3e 3 3. = 4e π 3( π) 3e 4. = 3e ( + 5 ) + 3e ( 5 ) ( + 5 ) ( 8) ( 5 ) ( 8) 5. = 3e + 3e 6. (a) (0, ), (b) ( 0, 0), (c) (, 0) 008, 06 Zachar S Tseng B- - 6

17 Fundamenal Soluions We have seen ha he general soluion of a second order homogeneous linear equaion is in he form of = C + C, where and are wo disinc funcions boh saisfing he given equaion (as a resul, and are hemselves paricular soluions of he equaion). Now we will examine he circumsance under which wo arbirar soluions and could give us a general soluion. Suppose and are wo soluions of some second order homogeneous linear equaion such ha heir linear combinaions = C + C give a general soluion of he equaion. Then, according o he Exisence and Uniqueness Theorem, for an pair of iniial condiions ( 0 ) = 0 and ( 0 ) = 0 here mus exis uniquel a corresponding pair of coefficiens C and C ha saisfies he ssem of (algebraic) equaions 0 0 = C = C ( ( 0 0 ) + C ) + C ( ( 0 0 ) ) From linear algebra, we know ha for he above ssem o alwas have a unique soluion (C, C ) for an iniial values 0 and 0, he coefficien marix of he ssem mus be inverible, or, equivalenl, he deerminan of he coefficien marix mus be nonzero **. Tha is ( 0 ) ( 0 ) de = ( ) 0 ( 0 ) ( 0 ) ( 0 ) 0 ( 0 ) ( 0 ) This deerminan above is called he Wronskian or he Wronskian deerminan. I is a funcion of as well, denoed W(, )(), and is given b he expression W(, )() =. The expression = C + C is called a linear combinaion of he funcions and. ** B nonzero i means ha he Wronskian is no he consan zero funcion. 008, 06 Zachar S Tseng B- - 7

18 On he oher hand, a each poin 0 where W(, )( 0 ) = 0, a unique pair of coefficiens C and C ha saisfies he previous ssem of equaions canno alwas be found (see an linear algebra exbook for a proof of his). This could be due o one of wo reasons. The firs reason is ha = C + C is reall no a general soluion of our equaion. Or, he second possibili is ha 0 is a disconinui of eiher p(), q(), or g(). This second reason is, of course, a consequence of he Exisence and Uniqueness heorem. Assuming ha no ever poin is a disconinui of eiher p(), q(), or g(), hen he fac ha W(, )() is consan zero implies ha = C + C is no a general soluion of he given equaion. Oherwise, if W(, )() is nonzero a some poins 0 on he real line, hen = C + C will, ogeher wih differen combinaions of iniial condiion ( 0 ) = 0 and ( 0 ) = 0, give uniquel all he possible paricular soluions, on some open inervals conaining 0. Tha is, = C + C is a general soluion of he given equaion. Hence, our ineres in knowing wheher or no W(, )() is he consan zero funcion. Formall, if W(, )() 0, hen he funcions, are said o be linearl independen. Else he are called linearl dependen if W(, )() = 0. Noe: In he simple insance of wo funcions, as is he case presenl, heir linear independence could equivalenl be deermined b he fac ha wo funcions are linearl independen if and onl if he are no consan muliples of each oher. Suppose and are wo linearl independen soluions of a second order homogeneous linear equaion + p() + q() = 0. Tha is, and boh saisf he equaion, and W(, )() 0. Then (and onl hen) heir linear combinaion = C + C forms a general soluion of he differenial equaion. Therefore, a pair of such linearl independen soluions and is called a se of fundamenal soluions, because he are Since W(, )() = W(, )(), he are eiher boh zero or boh nonzero. Therefore, he order of he funcions and does no maer in he Wronskian calculaion. 008, 06 Zachar S Tseng B- - 8

19 esseniall he basic building blocks of all paricular soluions of he equaion. To summarize, suppose and are wo soluions of a second order homogeneous linear equaion, hen: W(, )() is no he consan zero funcion, are linearl independen, are fundamenal soluions = C + C is a general soluion of he equaion Example: Le = and exponenial funcion. Then e r e r =, r r, be an wo differen r r e e r r W (, ) = de = r e e r e r r r e re r e r r r = ( r r ) e e 0, for all. Therefore, an wo differen exponenial-funcion soluions of a second order homogeneous linear equaion (as hose found using is characerisic equaion) are alwas linearl independen, hus he will alwas give a general soluion. Beer e, in his case since he Wronskian is never zero for all real numbers, a unique soluion can alwas be found. 008, 06 Zachar S Tseng B- - 9

20 Lasl, here is an ineresing (and, as we shall see shorl, useful) relaionship beween he Wronskian of an wo soluions of a second order linear equaion wih is coefficien funcion p(). Abel s Theorem: If and are an wo soluions of he equaion + p() + q() = 0, where p and q are coninuous on an open inerval I. Then he Wronskian W(, )() is given b = p( ) d W (, )( C e, ) where C is a consan ha depends on and, bu no on. Furher, W(, )() is eiher zero for all in I (if C = 0) or else is never zero in I (if C 0). 008, 06 Zachar S Tseng B- - 0

21 Exercises B-.:. Previousl, we have found ha he equaion = 0 has a general soluion = C e + C e. (a) Consruc anoher general soluion b firs e + e e e verifing ha = cosh = and = sinh = also form a pair of fundamenal soluions. Conclude ha a general soluion is no unique for his equaion. (b) For each of he wo general soluions, find he soluion corresponding o he iniial condiions (0) = and (0) =. Show ha he wo paricular soluions are idenical.. Suppose and are wo soluions of he equaion + 3 = 0. Find W(, )(). 3. Suppose and are wo soluions of he equaion ( + 4) + e 3 = 0, such ha W(, )() = 0. Find W(, )(). 4. Suppose = and = e 4 are boh soluions of a cerain equaion + p() + q() = 0. (a) Compue W(, )(). (b) Wha is a general soluion of his equaion? (c) Does here exis a unique soluion saisfing he iniial condiions (0) = 0, (0) = 0? (Use par b in our compuaion, is here a unique pair of coefficiens C and C?) (d) Find he soluion saisfing he iniial condiions () =, () = 5. (e) Wha is he larges inerval on which he soluion from par d is guaraneed o exis uniquel? 5. Suppose = + 3 e and = 3 e are boh soluions of a cerain equaion + p() + q() = 0. (a) Compue W(, )(). (b) Wha is a general soluion of his equaion? (c) Find he soluion saisfing he iniial condiions (0) =, (0) = 3. (d) Wha is he larges inerval on which he soluion from par d is guaraneed o exis uniquel? 008, 06 Zachar S Tseng B- -

22 Answers B-.:. (a) Anoher general soluion is = C cosh + C sinh.. W(, )() = = Ce 3. W(, )() = 0 4 e 4. (a) W(, )() = 4 e 4, (b) = C + C e 4, (c) Since W(, )(0) = 0, here is no exisence or uniqueness guaranee for a paricular soluion. As i urns ou, here are infiniel man soluions saisfing he given iniial condiions: an funcion of he form = C + C e 4, where C = C. (d) = e 4 e 4, (e) (0, ). 5. (a) W(, )() = 3e, (b) = C ( + 3 e ) + C (3 e ), which can be simplified o = K + K e, (c) = 5 3e, (d) (, ). 008, 06 Zachar S Tseng B- -

23 Case Two complex conjugae roos When b 4 ac < 0, he characerisic polnomial has wo complex roos, which are conjugaes, r = λ + µi and r = λ µi (λ, µ are real numbers, r µ > 0). As before he give wo linearl independen soluions = e and r r r = e. Consequenl he linear combinaion = C e + Ce will be a general soluion. A his juncure ou migh have his quesion: bu aren r and r complex numbers; wha would become of he exponenial funcion wih a complex number exponen? The answer o ha quesion is given b he Euler s formula. Euler s formula For an real number θ, e θ i = cos θ + i sin θ. Hence, when r is a complex number λ + µi, he exponenial funcion e r becomes e r = e (λ + µ i) = e λ e µ i = e λ (cos µ + i sin µ) Similarl, when r = λ µi, e r becomes e (λ µ i) = e λ e µ i = e λ (cos( µ) + i sin( µ)) = e λ (cos µ i sin µ) Hence, he general soluion found above is hen = C e λ (cos µ + i sin µ) + C e λ (cos µ i sin µ) 008, 06 Zachar S Tseng B- - 3

24 However, his general soluion is a complex-valued funcion (meaning ha, given a real number, he value of he funcion () could be complex). I represens he general form of all paricular soluions wih eiher real or complex number coefficiens. Wha we seek here, insead, is a real-valued expression ha gives onl he se of all paricular soluions wih real number coefficiens onl. In oher words, we would like o filer ou all funcions conaining coefficiens wih an imaginar par, ha saisf he given differenial equaion, keeping onl hose whose coefficiens are real numbers. Define u() = e λ cos µ v() = e λ sin µ I is eas o verif ha boh u and v saisf he differenial equaion (one wa o see his is o observe ha u can be obain from he complex-valued general soluion b seing C = C = /; and v can be obained similarl b seing C = /i and C = /i). Their Wronskian is W(u, v) = µ e λ is never zero. Therefore, he funcions u and v are linearl independen soluions of he equaion. The form a pair of real-valued fundamenal soluions and he linear combinaion is a desired real-valued general soluion: = C e λ cos µ + C e λ sin µ. When r = λ ± µi, µ > 0, are wo complex roos of he characerisic polnomial. 008, 06 Zachar S Tseng B- - 4

25 Example: + 4 = 0 Answer: = C cos + C sin Example: = 0, (0) = 4, (0) = 6 The characerisic equaion is r + r + 5 = 0, which has soluions r = ± i. So λ = and µ =. Therefore, he general soluion is = C e cos + C e sin Appl he iniial condiions o find ha C = 4 and C = 5. Hence, = 4e cos + 5e sin. Quesion: Wha would he soluion be if he iniial condiions are (5000) = 4, and (5000) = 6 insead? Answer: = 4e ( 5000) cos ( 5000) + 5e ( 5000) sin ( 5000) 008, 06 Zachar S Tseng B- - 5

26 Case 3 One repeaed real roo When b 4 ac = 0, he characerisic polnomial has a single repeaed real b roo, r =. This causes a problem, because unlike he previous wo cases a he roos of characerisic polnomial presenl onl give us one disinc soluion = e r. I is no enough o give us a general soluion. We would need o come up wih a second soluion, linearl independen wih, on our own. How do we find a second soluion? Take wha we have: a soluion = e r b, where r =. Le be anoher a soluion of he same equaion a + b + c = 0. The sandard form of his b c b equaion is + + = 0, where p() =. Compue he Wronskian a a a wo differen was: and W( e r r r, ) = de = e re r re, b d a b a p d W C e ( ) (, = = C e = C e, C 0. ) r = b a B he Abel s Theorem, he fac C 0 guaranees ha and are going o be linearl independen. Now, we have wo expressions for he Wronskian of he same pair of soluions. The wo expressions mus be equal: e b a b b a + e a = C e b a, C 0. This is a firs order linear differenial equaion wih as he unknown! 008, 06 Zachar S Tseng B- - 6

27 Pu i ino is sandard form and solve b he inegraing facor mehod. b b a + = C e a The inegraing facor is = b b d a a e = e µ. Hence, b b b b a a a a = e Ce d e C d e ( C C b = = + ) a e = Ce b a + C e b a = Ce r + C e r An such a funcion would be a second, linearl independen soluion of he differenial equaion. We jus need one insance of such a funcion. The onl condiion for he coefficiens in he above expression is C 0. Pick, sa, C =, and C = 0 would work nicel. Thus = e r. Therefore, he general soluion in he case of a repeaed real roo r is = C e r + C e r. 008, 06 Zachar S Tseng B- - 7

28 Example: = 0, (0) = 4, (0) = 5 The characerisic equaion is r 4r + 4 = (r ) = 0, which has soluion r = (repeaed). Thus, he general soluion is Differeniae, = C e + C e. = C e + C ( e + e ). Appl he iniial condiions o find ha C = 4 and C = 3: = 4 e 3 e. 008, 06 Zachar S Tseng B- - 8

29 Summar Given a second order linear equaion wih consan coefficiens a + b + c = 0, a 0. Solve is characerisic equaion a r + b r + c = 0. The general soluion depends on he pe of roos obained (use he quadraic formula o find he roos if ou are unable o facor he polnomial!):. When b 4 ac > 0, here are wo disinc real roos r, r. r + = C e C e. r. When b 4 ac < 0, here are wo complex conjugae roos r = λ ± µi. Then = C e λ cos µ + C e λ sin µ. 3. When b 4 ac = 0, here is one repeaed real roo r. Then = C e r + C e r. Since p() = b/a and q() = c/a, being consans, are coninuous for ever real number, herefore, according o he Exisence and Uniqueness Theorem, in each case above here is alwas a unique soluion valid on (, ) for an pair of iniial condiions ( 0 ) = 0 and ( 0 ) = , 06 Zachar S Tseng B- - 9

30 Exercises B-.3:. Verif ha = e r b, r =, is a soluion of he equaion a a + b + c = 0 if b 4 ac = 0; and i is no a soluion if b 4 ac 0. 0 For each of he following equaions (a) find is general soluion, (b) find he paricular soluion saisfing he iniial condiions (0) =, (0) =, and (c) find he limi, as, of he soluion found in (b) = = = = = = 0 8. = = = 0 5 Solve each iniial value problem = 0, (5π) = 4, (5π) = = 0, ( ) =, ( ) = = 0, (0) =, (0) = = 0, (0) = 5, (0) = = 0, (0) = 8, (0) = 008, 06 Zachar S Tseng B- - 30

31 6 Find a second order linear equaion wih consan coefficiens ha has he indicaed soluion. (The answer is no unique.) 6. The general soluion is = C e + C e. 7. The general soluion is = C e 5 + C e. 8. The general soluion is = C cos 0 + C sin A paricular soluion is = 7 e 3 e. 0. A paricular soluion is = e π sin.. A paricular soluion is = π e 5.. Consider all he nonzero soluions of he equaion = 0, deermine heir behavior as. 3. Consider all he nonzero soluions of he equaion + 0 = 0, deermine heir behavior as. 008, 06 Zachar S Tseng B- - 3

32 Answers B-.3: 8 5. C e 8 = + C e, = e e, = C e cos 4+ C e sin4, = e cos 4 e sin4, none = C e + C e, = e e, / 3 0 / = C e + C e, = e + e, = C e C e, = e 9e, + 7. = C e cos 3+ C e sin3, = e cos 3+ e sin3, 0 8. = C e / + C, = e / + 4, 9. = C e / + C e, = e /, 0 / 4 / 4 / 4 3 / 4 0. = C e + C e, = e e,. = 6e ( 5π) 7( 5π) e 4( + ) 4( + ) = e 9( + ) e = 6e 9e 3. = cos + 6sin = 5e 3 ( 0) cos 5( 0) + e 3 ( 0) sin 5( 0) / / 5 5. = e 0e 6. + = = = = = = 0. The soluions are of he form = C e 6 + C e 6, he all approach 0 as. 3. The soluions are of he form = C e cos 3 + C e sin 3. The zero soluion (i.e. when C = C = 0) approaches 0, all he nonzero soluions oscillae wih an increasing ampliude and do no reach a limi. 008, 06 Zachar S Tseng B- - 3

33 008, 06 Zachar S Tseng B Reducion of Order Problem: Given a second order, homogeneous, linear differenial equaion (wih non-consan coefficiens) and a known nonzero soluion, find he general soluion of he given equaion. To sar, assume ha here exiss a second soluion in he form of = v(), for some differeniable funcion v(). Firs we wan o make sure he equaion is wrien in he sandard form wih leading coefficien : + p() + q() = 0. Nex, we will compue he Wronskian W(, )() wo differen was, using he wo mehods ha we know. B he definiion of Wronskian: ) ( ) ( ) ( ) ( ) ( ) ( ) ( de ), ( v v v v v v v W = + = + = B he Abel s Theorem: = d p C e W ) ( ), (, where C 0. The fac ha C 0 is imporan, because i guaranees he linear independence of and.

34 The wo expressions compued above are he Wronskian of he same wo funcions, herefore, he wo expressions mus be he same. Equae hem: v ) = C e p( ) d (. v ( ) = C Therefore, e p( ) d, C 0. Inegrae he righ-hand side o find v(). Choose an convenien nonzero value for C. Leing C = would work nicel, alhough i ma no be he mos convenien choice. Then find = v(). The general soluion is sill, of course, in he form = C + C. Therefore, = C + C = C + C v(). Noe: I is acuall no necessar o assume ha = v(). Alhough doing so makes he resuling firs order differenial equaion easier o solve. 008, 06 Zachar S Tseng B- - 34

35 Example: If i is known ha = is a soluion of Find is general soluion. ( + ) + ( + ) = 0, > 0. Rewrie he equaion ino he sandard form = 0 Idenif + p( ) =. Le = v()= v(). v( ) W(, ) = de = v( ) + v ( ) v( ) = v ( ) v( ) v, + ( ) and, W + d d + + ln( ) (, ) = C e = C e = C e = C e, where C 0. Equaing boh pars: v = C e v = C e v = C e + C Choose C = and C = 0 v = e. Therefore, = v()= e. The general soluion is = C + C = C + C e. 008, 06 Zachar S Tseng B- - 35

36 Example: Find he general soluion of he equaion below, given ha = cos(ln ) is a known soluion = 0, > 0. Rewrie he equaion ino he sandard form = 0 Idenif 3 p( ) =. Le = v()= cos(ln ) v(). 4 W (, ) = cos (ln) v ( ), and, 3 d 3 3 ln( ) ln( ) 3 = C e = C e = Ce = C, C 0. W (, ) Equaing boh pars: 4 cos (ln) v = C 3 v = C cos (ln) = C sec (ln) sec (ln) sin(ln) v = C d= C an(ln) + C = C + C cos(ln) Choose C = and C = 0 v = an(ln ). = v()= cos(ln ) an(ln ) = sin(ln ). The general soluion is = C + C = C cos(ln ) + C sin(ln ). 008, 06 Zachar S Tseng B- - 36

37 Exercises B-.4: 7 For each equaion below, a known soluion is given. Find a second, linearl independen soluion of he equaion, and find he general soluion.. + = 0, > 0, =.. 3 = 0, > 0, = = 0, > 0, = = 0, > 0, = = 0, > 0, = sin(3 ln ). 6. ( 5) ( 5) + = 0, > 5, = ( 5). 7. ( + ) + 3( + ) + = 0, >, = ( + ). 8. Solve he iniial value problem = 0, > 0, () =, () =. Given ha = ln is a known soluion. 9. (a) Find he general soluion of = 0, > 0, given =. (b) Find he paricular soluion saisfing () = 6 and () = 9. (c) Show ha he iniial value problem = 0, (0) = 0 and (0) = 0, do no have a unique soluion b verifing ha an of he infiniel man funcions of he form = C is a soluion, regardless of he value of C. Does his fac violae he Exisence and Uniqueness Theorem? 008, 06 Zachar S Tseng B- - 37

38 Answers B-.4:. = C + C. = C + C 3 3. = C + C ln 4. = C 4 + C 5. = C sin(3 ln ) + C cos(3 ln ) 6. = C ( 5) + C ( 5) ln( + ) 7. = C + C = 5 ln 9. (a) = C + C, (b) = , 06 Zachar S Tseng B- - 38

39 (Opional opic) Euler Equaions A second order Euler equaion (also known as an Euler-Cauch equaion) is a second order homogeneous linear equaion of he form or, in sandard form + α + β = 0, (**) α β + + = 0. In a course a his level, variaions of he Euler equaion mos frequenl appear as examples and exercises in lecures abou reducion of order. In his conex we have seen a few of hem in he previous secion. This pe of equaions, however, is ver ineresing in is own righ. Despie he nonconsan naure of heir coefficiens, Euler equaions can be easil solved in a wa ha is analogous o he characerisic equaion mehod of solving consan coefficien homogeneous linear equaions. We shall develop his soluion echnique for Euler equaions in his secion. B visual inspecion (or b peeking back a he exercises previousl encounered in he secion abou reducion of order echnique) we migh deduce ha a funcion of he form = r could be a soluion of (**), 0. Therefore, similar o how we have previousl derived he characerisic equaion mehod, we will assume ha, for some power, r, e o be deermined, here exiss a soluion = r. We hen subsiue i ino (**) o ge a beer idea abou wha r should be. For he ime being, le us consider onl he case of > 0. Sar wih he rial soluion = r, hen ʹ = r r and ʺ = r(r ) r. Plug hem ino (**): 008, 06 Zachar S Tseng B- - 39

40 r(r ) r + + α r r + + β r = 0, (r r + αr + β) r = 0, (r + (α )r + β) r = 0. Since r 0, i follows ha r + (α )r + β = 0. This quadraic equaion is he characerisic equaion of (**). Whaever value of r, real or complex, ha saisfies he characerisic equaion will ield a nonrivial soluion of (**) in he form = r. As ou migh have suspeced, depending on he number and pe of roos r of he characerisic equaion, he equaion (**) will have differen forms of (real-valued) general soluion. We will look a each case in urn. Case I: There are wo disinc real roos r and r. r r In his case = and = are wo soluions linearl independen everwhere on he inerval (0, ). (Exercise: check ha heir Wronskian is nonzero for 0.) Therefore, a general soluion of (**) is + = C + C = C C. r r Case II: There are wo complex conjugae roos r = λ ± µi, µ > 0. r r In his case = and = remain wo soluions linearl independen everwhere on he inerval (0, ). The are complex-valued funcions, however: λ µ i λ µ i λ µ (ln) i λ = + = = e = (cos( µ ln) + isin( µ ln )) λ µ i λ µ i λ µ (ln) i λ = = = e = (cos( µ ln) isin( µ ln )) 008, 06 Zachar S Tseng B- - 40

41 In he same fashion as we have done for he consan coefficiens second order linear equaion earlier, we can produce he following pair of realvalued, linearl independen soluions using linear combinaions. u = ( + ) / = λ cos(µ ln ) v = ( ) / i = λ sin(µ ln ) Therefore, a real-valued general soluion is = C λ cos(µ ln ) + C λ sin(µ ln ). Case III: There is a repeaed real roo r. r Iniiall, we have onl = as a soluion. The second soluion can be readil found b he mehod of reducion of order o be r = ln. To wi: If r = k is a repeaed roo, hen he characerisic equaion have k+ coefficiens α = k, i.e., p( ) = α = ; and β = k. Now, k k le = and = v. k I follows ha W (, ) = v ( ) = v ( ), and b Abel s heorem, i is also k d (k )ln( ) k W (, ) = C e = C e = C, C 0. Hence, k k v ( ) = C C v ( ) =, C 0. Inegrae o obain v() = C ln + C, hen se C = and C = 0. We have v() = ln. 008, 06 Zachar S Tseng B- - 4

42 k = = r Consequenl,, and ln r = = ln, are he wo required fundamenal soluions. Therefore, a general soluion is r + = C C ln. r For < 0, he general soluion will ake he same forms described above, excep each formula will be in erms of. Example: Find he general soluion of = 0, > 0. The characerisic equaion is r 4r + 0 = 0, which has roos r = ± 4i. Therefore, he general soluion is = C cos(4 ln ) + C sin(4 ln ). Example: Find he general soluion of = 0, < 0. The characerisic equaion is r + 6r + 9 = (r + 3) = 0, which has a repeaed roo r = 3. Therefore, wih < 0, he general soluion is = C 3 + C 3 ln. 008, 06 Zachar S Tseng B- - 4

43 Soluion b subsiuion Alernaivel, he Euler equaion can also be solved b a simple subsiuion. This approach seeks o conver an Euler equaion ino one wih consan coefficiens, hus esablish a direc relaion beween heir characerisic equaions discussed previousl. Define = e x, hus x = ln, for > 0. (Similarl, le = e x, hus x = ln, for < 0.) I follows ha d d d d = e x = dx d dx d d d =, and d dx = d dx d d = d d d dx + d d d dx = d d + d. d Tha is, d d d dx d d d dx =, and d d d = dx = d dx. Therefore, in erms of x, equaion (**) becomes Or, d dx d dx d dx + d α + β = 0. dx d + ( α ) + β = 0. dx The equaion now has consan coefficiens, which can be solved using is characerisic equaion r + (α )r + β = , 06 Zachar S Tseng B- - 43

44 Depending on he number and pe of he roos of he characerisic equaion, we have: Case I: There are wo disinc real roos r and r. r x r x r ln r = C e + C e = C e + C e = C + r ln C r. Case II: There are wo complex conjugae roos r = λ ± µi, µ > 0. = C e λx cos µ x + C e λx sin µ x = C e λln cos(µ ln ) + C e λln sin(µ ln ) = C λ cos(µ ln ) + C λ sin(µ ln ). Case III: There is a repeaed real roo r. r + rx rx = C e + C xe = C C ln. r As can be seen, he wo mehods arrive a he idenical resuls. 008, 06 Zachar S Tseng B- - 44

45 Given a second order Euler equaion Summar + α + β = 0, > 0. Solve is characerisic equaion r + (α )r + β = 0. The general soluion depends on he pe of roos obained:. When here are wo disinc real roos r, r. = C C. r + r. When here are wo complex conjugae roos r = λ ± µi. = C λ cos(µ ln ) + C λ sin(µ ln ). 3. When here is one repeaed real roo r. = C r + C r ln. Wih = 0 being he onl disconinui of p() and q(), when 0 > 0, in each case above here is alwas a unique soluion valid everwhere on (0, ) for an pair of iniial condiions ( 0 ) = 0 and ( 0 ) = 0. When 0 < 0, replace ever in each formula above b, and a unique soluion valid everwhere on (, 0) can alwas be found. 008, 06 Zachar S Tseng B- - 45

Chapter 7. Response of First-Order RL and RC Circuits

Chapter 7. Response of First-Order RL and RC Circuits Chaper 7. esponse of Firs-Order L and C Circuis 7.1. The Naural esponse of an L Circui 7.2. The Naural esponse of an C Circui 7.3. The ep esponse of L and C Circuis 7.4. A General oluion for ep and Naural

More information

The Transport Equation

The Transport Equation The Transpor Equaion Consider a fluid, flowing wih velociy, V, in a hin sraigh ube whose cross secion will be denoed by A. Suppose he fluid conains a conaminan whose concenraion a posiion a ime will be

More information

Differential Equations and Linear Superposition

Differential Equations and Linear Superposition Differenial Equaions and Linear Superposiion Basic Idea: Provide soluion in closed form Like Inegraion, no general soluions in closed form Order of equaion: highes derivaive in equaion e.g. dy d dy 2 y

More information

17 Laplace transform. Solving linear ODE with piecewise continuous right hand sides

17 Laplace transform. Solving linear ODE with piecewise continuous right hand sides 7 Laplace ransform. Solving linear ODE wih piecewise coninuous righ hand sides In his lecure I will show how o apply he Laplace ransform o he ODE Ly = f wih piecewise coninuous f. Definiion. A funcion

More information

Appendix A: Area. 1 Find the radius of a circle that has circumference 12 inches.

Appendix A: Area. 1 Find the radius of a circle that has circumference 12 inches. Appendi A: Area worked-ou s o Odd-Numbered Eercises Do no read hese worked-ou s before aemping o do he eercises ourself. Oherwise ou ma mimic he echniques shown here wihou undersanding he ideas. Bes wa

More information

1. y 5y + 6y = 2e t Solution: Characteristic equation is r 2 5r +6 = 0, therefore r 1 = 2, r 2 = 3, and y 1 (t) = e 2t,

1. y 5y + 6y = 2e t Solution: Characteristic equation is r 2 5r +6 = 0, therefore r 1 = 2, r 2 = 3, and y 1 (t) = e 2t, Homework6 Soluions.7 In Problem hrough 4 use he mehod of variaion of parameers o find a paricular soluion of he given differenial equaion. Then check your answer by using he mehod of undeermined coeffiens..

More information

Mathematics in Pharmacokinetics What and Why (A second attempt to make it clearer)

Mathematics in Pharmacokinetics What and Why (A second attempt to make it clearer) Mahemaics in Pharmacokineics Wha and Why (A second aemp o make i clearer) We have used equaions for concenraion () as a funcion of ime (). We will coninue o use hese equaions since he plasma concenraions

More information

4 Convolution. Recommended Problems. x2[n] 1 2[n]

4 Convolution. Recommended Problems. x2[n] 1 2[n] 4 Convoluion Recommended Problems P4.1 This problem is a simple example of he use of superposiion. Suppose ha a discree-ime linear sysem has oupus y[n] for he given inpus x[n] as shown in Figure P4.1-1.

More information

cooking trajectory boiling water B (t) microwave 0 2 4 6 8 101214161820 time t (mins)

cooking trajectory boiling water B (t) microwave 0 2 4 6 8 101214161820 time t (mins) Alligaor egg wih calculus We have a large alligaor egg jus ou of he fridge (1 ) which we need o hea o 9. Now here are wo accepable mehods for heaing alligaor eggs, one is o immerse hem in boiling waer

More information

MTH6121 Introduction to Mathematical Finance Lesson 5

MTH6121 Introduction to Mathematical Finance Lesson 5 26 MTH6121 Inroducion o Mahemaical Finance Lesson 5 Conens 2.3 Brownian moion wih drif........................... 27 2.4 Geomeric Brownian moion........................... 28 2.5 Convergence of random

More information

9. Capacitor and Resistor Circuits

9. Capacitor and Resistor Circuits ElecronicsLab9.nb 1 9. Capacior and Resisor Circuis Inroducion hus far we have consider resisors in various combinaions wih a power supply or baery which provide a consan volage source or direc curren

More information

A Re-examination of the Joint Mortality Functions

A Re-examination of the Joint Mortality Functions Norh merican cuarial Journal Volume 6, Number 1, p.166-170 (2002) Re-eaminaion of he Join Morali Funcions bsrac. Heekung Youn, rkad Shemakin, Edwin Herman Universi of S. Thomas, Sain Paul, MN, US Morali

More information

Inductance and Transient Circuits

Inductance and Transient Circuits Chaper H Inducance and Transien Circuis Blinn College - Physics 2426 - Terry Honan As a consequence of Faraday's law a changing curren hrough one coil induces an EMF in anoher coil; his is known as muual

More information

Differential Equations. Solving for Impulse Response. Linear systems are often described using differential equations.

Differential Equations. Solving for Impulse Response. Linear systems are often described using differential equations. Differenial Equaions Linear sysems are ofen described using differenial equaions. For example: d 2 y d 2 + 5dy + 6y f() d where f() is he inpu o he sysem and y() is he oupu. We know how o solve for y given

More information

CHARGE AND DISCHARGE OF A CAPACITOR

CHARGE AND DISCHARGE OF A CAPACITOR REFERENCES RC Circuis: Elecrical Insrumens: Mos Inroducory Physics exs (e.g. A. Halliday and Resnick, Physics ; M. Sernheim and J. Kane, General Physics.) This Laboraory Manual: Commonly Used Insrumens:

More information

Lectures # 5 and 6: The Prime Number Theorem.

Lectures # 5 and 6: The Prime Number Theorem. Lecures # 5 and 6: The Prime Number Theorem Noah Snyder July 8, 22 Riemann s Argumen Riemann used his analyically coninued ζ-funcion o skech an argumen which would give an acual formula for π( and sugges

More information

Random Walk in 1-D. 3 possible paths x vs n. -5 For our random walk, we assume the probabilities p,q do not depend on time (n) - stationary

Random Walk in 1-D. 3 possible paths x vs n. -5 For our random walk, we assume the probabilities p,q do not depend on time (n) - stationary Random Walk in -D Random walks appear in many cones: diffusion is a random walk process undersanding buffering, waiing imes, queuing more generally he heory of sochasic processes gambling choosing he bes

More information

On the degrees of irreducible factors of higher order Bernoulli polynomials

On the degrees of irreducible factors of higher order Bernoulli polynomials ACTA ARITHMETICA LXII.4 (1992 On he degrees of irreducible facors of higher order Bernoulli polynomials by Arnold Adelberg (Grinnell, Ia. 1. Inroducion. In his paper, we generalize he curren resuls on

More information

The Torsion of Thin, Open Sections

The Torsion of Thin, Open Sections EM 424: Torsion of hin secions 26 The Torsion of Thin, Open Secions The resuls we obained for he orsion of a hin recangle can also be used be used, wih some qualificaions, for oher hin open secions such

More information

ANALYSIS AND COMPARISONS OF SOME SOLUTION CONCEPTS FOR STOCHASTIC PROGRAMMING PROBLEMS

ANALYSIS AND COMPARISONS OF SOME SOLUTION CONCEPTS FOR STOCHASTIC PROGRAMMING PROBLEMS ANALYSIS AND COMPARISONS OF SOME SOLUTION CONCEPTS FOR STOCHASTIC PROGRAMMING PROBLEMS R. Caballero, E. Cerdá, M. M. Muñoz and L. Rey () Deparmen of Applied Economics (Mahemaics), Universiy of Málaga,

More information

AP Calculus AB 2013 Scoring Guidelines

AP Calculus AB 2013 Scoring Guidelines AP Calculus AB 1 Scoring Guidelines The College Board The College Board is a mission-driven no-for-profi organizaion ha connecs sudens o college success and opporuniy. Founded in 19, he College Board was

More information

Capacitors and inductors

Capacitors and inductors Capaciors and inducors We coninue wih our analysis of linear circuis by inroducing wo new passive and linear elemens: he capacior and he inducor. All he mehods developed so far for he analysis of linear

More information

Chapter 8: Regression with Lagged Explanatory Variables

Chapter 8: Regression with Lagged Explanatory Variables Chaper 8: Regression wih Lagged Explanaory Variables Time series daa: Y for =1,..,T End goal: Regression model relaing a dependen variable o explanaory variables. Wih ime series new issues arise: 1. One

More information

4. International Parity Conditions

4. International Parity Conditions 4. Inernaional ariy ondiions 4.1 urchasing ower ariy he urchasing ower ariy ( heory is one of he early heories of exchange rae deerminaion. his heory is based on he concep ha he demand for a counry's currency

More information

Economics Honors Exam 2008 Solutions Question 5

Economics Honors Exam 2008 Solutions Question 5 Economics Honors Exam 2008 Soluions Quesion 5 (a) (2 poins) Oupu can be decomposed as Y = C + I + G. And we can solve for i by subsiuing in equaions given in he quesion, Y = C + I + G = c 0 + c Y D + I

More information

Cointegration: The Engle and Granger approach

Cointegration: The Engle and Granger approach Coinegraion: The Engle and Granger approach Inroducion Generally one would find mos of he economic variables o be non-saionary I(1) variables. Hence, any equilibrium heories ha involve hese variables require

More information

Permutations and Combinations

Permutations and Combinations Permuaions and Combinaions Combinaorics Copyrigh Sandards 006, Tes - ANSWERS Barry Mabillard. 0 www.mah0s.com 1. Deermine he middle erm in he expansion of ( a b) To ge he k-value for he middle erm, divide

More information

11/6/2013. Chapter 14: Dynamic AD-AS. Introduction. Introduction. Keeping track of time. The model s elements

11/6/2013. Chapter 14: Dynamic AD-AS. Introduction. Introduction. Keeping track of time. The model s elements Inroducion Chaper 14: Dynamic D-S dynamic model of aggregae and aggregae supply gives us more insigh ino how he economy works in he shor run. I is a simplified version of a DSGE model, used in cuing-edge

More information

AP Calculus BC 2010 Scoring Guidelines

AP Calculus BC 2010 Scoring Guidelines AP Calculus BC Scoring Guidelines The College Board The College Board is a no-for-profi membership associaion whose mission is o connec sudens o college success and opporuniy. Founded in, he College Board

More information

RC (Resistor-Capacitor) Circuits. AP Physics C

RC (Resistor-Capacitor) Circuits. AP Physics C (Resisor-Capacior Circuis AP Physics C Circui Iniial Condiions An circui is one where you have a capacior and resisor in he same circui. Suppose we have he following circui: Iniially, he capacior is UNCHARGED

More information

Chapter 2 Kinematics in One Dimension

Chapter 2 Kinematics in One Dimension Chaper Kinemaics in One Dimension Chaper DESCRIBING MOTION:KINEMATICS IN ONE DIMENSION PREVIEW Kinemaics is he sudy of how hings moe how far (disance and displacemen), how fas (speed and elociy), and how

More information

Table of contents Chapter 1 Interest rates and factors Chapter 2 Level annuities Chapter 3 Varying annuities

Table of contents Chapter 1 Interest rates and factors Chapter 2 Level annuities Chapter 3 Varying annuities Table of conens Chaper 1 Ineres raes and facors 1 1.1 Ineres 2 1.2 Simple ineres 4 1.3 Compound ineres 6 1.4 Accumulaed value 10 1.5 Presen value 11 1.6 Rae of discoun 13 1.7 Consan force of ineres 17

More information

Module 4. Single-phase AC circuits. Version 2 EE IIT, Kharagpur

Module 4. Single-phase AC circuits. Version 2 EE IIT, Kharagpur Module 4 Single-phase A circuis ersion EE T, Kharagpur esson 5 Soluion of urren in A Series and Parallel ircuis ersion EE T, Kharagpur n he las lesson, wo poins were described:. How o solve for he impedance,

More information

Analogue and Digital Signal Processing. First Term Third Year CS Engineering By Dr Mukhtiar Ali Unar

Analogue and Digital Signal Processing. First Term Third Year CS Engineering By Dr Mukhtiar Ali Unar Analogue and Digial Signal Processing Firs Term Third Year CS Engineering By Dr Mukhiar Ali Unar Recommended Books Haykin S. and Van Veen B.; Signals and Sysems, John Wiley& Sons Inc. ISBN: 0-7-380-7 Ifeachor

More information

DYNAMIC MODELS FOR VALUATION OF WRONGFUL DEATH PAYMENTS

DYNAMIC MODELS FOR VALUATION OF WRONGFUL DEATH PAYMENTS DYNAMIC MODELS FOR VALUATION OF WRONGFUL DEATH PAYMENTS Hong Mao, Shanghai Second Polyechnic Universiy Krzyszof M. Osaszewski, Illinois Sae Universiy Youyu Zhang, Fudan Universiy ABSTRACT Liigaion, exper

More information

PROFIT TEST MODELLING IN LIFE ASSURANCE USING SPREADSHEETS PART ONE

PROFIT TEST MODELLING IN LIFE ASSURANCE USING SPREADSHEETS PART ONE Profi Tes Modelling in Life Assurance Using Spreadshees PROFIT TEST MODELLING IN LIFE ASSURANCE USING SPREADSHEETS PART ONE Erik Alm Peer Millingon 2004 Profi Tes Modelling in Life Assurance Using Spreadshees

More information

Full-wave rectification, bulk capacitor calculations Chris Basso January 2009

Full-wave rectification, bulk capacitor calculations Chris Basso January 2009 ull-wave recificaion, bulk capacior calculaions Chris Basso January 9 This shor paper shows how o calculae he bulk capacior value based on ripple specificaions and evaluae he rms curren ha crosses i. oal

More information

1 HALF-LIFE EQUATIONS

1 HALF-LIFE EQUATIONS R.L. Hanna Page HALF-LIFE EQUATIONS The basic equaion ; he saring poin ; : wrien for ime: x / where fracion of original maerial and / number of half-lives, and / log / o calculae he age (# ears): age (half-life)

More information

Return Calculation of U.S. Treasury Constant Maturity Indices

Return Calculation of U.S. Treasury Constant Maturity Indices Reurn Calculaion of US Treasur Consan Mauri Indices Morningsar Mehodolog Paper Sepeber 30 008 008 Morningsar Inc All righs reserved The inforaion in his docuen is he proper of Morningsar Inc Reproducion

More information

Usefulness of the Forward Curve in Forecasting Oil Prices

Usefulness of the Forward Curve in Forecasting Oil Prices Usefulness of he Forward Curve in Forecasing Oil Prices Akira Yanagisawa Leader Energy Demand, Supply and Forecas Analysis Group The Energy Daa and Modelling Cener Summary When people analyse oil prices,

More information

Newton s Laws of Motion

Newton s Laws of Motion Newon s Laws of Moion MS4414 Theoreical Mechanics Firs Law velociy. In he absence of exernal forces, a body moves in a sraigh line wih consan F = 0 = v = cons. Khan Academy Newon I. Second Law body. The

More information

Technical Appendix to Risk, Return, and Dividends

Technical Appendix to Risk, Return, and Dividends Technical Appendix o Risk, Reurn, and Dividends Andrew Ang Columbia Universiy and NBER Jun Liu UC San Diego This Version: 28 Augus, 2006 Columbia Business School, 3022 Broadway 805 Uris, New York NY 10027,

More information

Mortality Variance of the Present Value (PV) of Future Annuity Payments

Mortality Variance of the Present Value (PV) of Future Annuity Payments Morali Variance of he Presen Value (PV) of Fuure Annui Pamens Frank Y. Kang, Ph.D. Research Anals a Frank Russell Compan Absrac The variance of he presen value of fuure annui pamens plas an imporan role

More information

Acceleration Lab Teacher s Guide

Acceleration Lab Teacher s Guide Acceleraion Lab Teacher s Guide Objecives:. Use graphs of disance vs. ime and velociy vs. ime o find acceleraion of a oy car.. Observe he relaionship beween he angle of an inclined plane and he acceleraion

More information

= r t dt + σ S,t db S t (19.1) with interest rates given by a mean reverting Ornstein-Uhlenbeck or Vasicek process,

= r t dt + σ S,t db S t (19.1) with interest rates given by a mean reverting Ornstein-Uhlenbeck or Vasicek process, Chaper 19 The Black-Scholes-Vasicek Model The Black-Scholes-Vasicek model is given by a sandard ime-dependen Black-Scholes model for he sock price process S, wih ime-dependen bu deerminisic volailiy σ

More information

Improper Integrals. Dr. Philippe B. laval Kennesaw State University. September 19, 2005. f (x) dx over a finite interval [a, b].

Improper Integrals. Dr. Philippe B. laval Kennesaw State University. September 19, 2005. f (x) dx over a finite interval [a, b]. Improper Inegrls Dr. Philippe B. lvl Kennesw Se Universiy Sepember 9, 25 Absrc Noes on improper inegrls. Improper Inegrls. Inroducion In Clculus II, sudens defined he inegrl f (x) over finie inervl [,

More information

Term Structure of Prices of Asian Options

Term Structure of Prices of Asian Options Term Srucure of Prices of Asian Opions Jirô Akahori, Tsuomu Mikami, Kenji Yasuomi and Teruo Yokoa Dep. of Mahemaical Sciences, Risumeikan Universiy 1-1-1 Nojihigashi, Kusasu, Shiga 525-8577, Japan E-mail:

More information

Individual Health Insurance April 30, 2008 Pages 167-170

Individual Health Insurance April 30, 2008 Pages 167-170 Individual Healh Insurance April 30, 2008 Pages 167-170 We have received feedback ha his secion of he e is confusing because some of he defined noaion is inconsisen wih comparable life insurance reserve

More information

Equation for a line. Synthetic Impulse Response 0.5 0.5. 0 5 10 15 20 25 Time (sec) x(t) m

Equation for a line. Synthetic Impulse Response 0.5 0.5. 0 5 10 15 20 25 Time (sec) x(t) m Fundamenals of Signals Overview Definiion Examples Energy and power Signal ransformaions Periodic signals Symmery Exponenial & sinusoidal signals Basis funcions Equaion for a line x() m x() =m( ) You will

More information

A Probability Density Function for Google s stocks

A Probability Density Function for Google s stocks A Probabiliy Densiy Funcion for Google s socks V.Dorobanu Physics Deparmen, Poliehnica Universiy of Timisoara, Romania Absrac. I is an approach o inroduce he Fokker Planck equaion as an ineresing naural

More information

Stochastic Optimal Control Problem for Life Insurance

Stochastic Optimal Control Problem for Life Insurance Sochasic Opimal Conrol Problem for Life Insurance s. Basukh 1, D. Nyamsuren 2 1 Deparmen of Economics and Economerics, Insiue of Finance and Economics, Ulaanbaaar, Mongolia 2 School of Mahemaics, Mongolian

More information

Answer, Key Homework 2 David McIntyre 45123 Mar 25, 2004 1

Answer, Key Homework 2 David McIntyre 45123 Mar 25, 2004 1 Answer, Key Homework 2 Daid McInyre 4123 Mar 2, 2004 1 This prin-ou should hae 1 quesions. Muliple-choice quesions may coninue on he ne column or page find all choices before making your selecion. The

More information

Forecasting and Information Sharing in Supply Chains Under Quasi-ARMA Demand

Forecasting and Information Sharing in Supply Chains Under Quasi-ARMA Demand Forecasing and Informaion Sharing in Supply Chains Under Quasi-ARMA Demand Avi Giloni, Clifford Hurvich, Sridhar Seshadri July 9, 2009 Absrac In his paper, we revisi he problem of demand propagaion in

More information

Signal Processing and Linear Systems I

Signal Processing and Linear Systems I Sanford Universiy Summer 214-215 Signal Processing and Linear Sysems I Lecure 5: Time Domain Analysis of Coninuous Time Sysems June 3, 215 EE12A:Signal Processing and Linear Sysems I; Summer 14-15, Gibbons

More information

Imagine a Source (S) of sound waves that emits waves having frequency f and therefore

Imagine a Source (S) of sound waves that emits waves having frequency f and therefore heoreical Noes: he oppler Eec wih ound Imagine a ource () o sound waes ha emis waes haing requency and hereore period as measured in he res rame o he ource (). his means ha any eecor () ha is no moing

More information

Lecture 2: Telegrapher Equations For Transmission Lines. Power Flow.

Lecture 2: Telegrapher Equations For Transmission Lines. Power Flow. Whies, EE 481 Lecure 2 Page 1 of 13 Lecure 2: Telegraher Equaions For Transmission Lines. Power Flow. Microsri is one mehod for making elecrical connecions in a microwae circui. I is consruced wih a ground

More information

Duration and Convexity ( ) 20 = Bond B has a maturity of 5 years and also has a required rate of return of 10%. Its price is $613.

Duration and Convexity ( ) 20 = Bond B has a maturity of 5 years and also has a required rate of return of 10%. Its price is $613. Graduae School of Business Adminisraion Universiy of Virginia UVA-F-38 Duraion and Convexiy he price of a bond is a funcion of he promised paymens and he marke required rae of reurn. Since he promised

More information

AP Calculus AB 2007 Scoring Guidelines

AP Calculus AB 2007 Scoring Guidelines AP Calculus AB 7 Scoring Guidelines The College Board: Connecing Sudens o College Success The College Board is a no-for-profi membership associaion whose mission is o connec sudens o college success and

More information

2.5 Life tables, force of mortality and standard life insurance products

2.5 Life tables, force of mortality and standard life insurance products Soluions 5 BS4a Acuarial Science Oford MT 212 33 2.5 Life ables, force of moraliy and sandard life insurance producs 1. (i) n m q represens he probabiliy of deah of a life currenly aged beween ages + n

More information

Morningstar Investor Return

Morningstar Investor Return Morningsar Invesor Reurn Morningsar Mehodology Paper Augus 31, 2010 2010 Morningsar, Inc. All righs reserved. The informaion in his documen is he propery of Morningsar, Inc. Reproducion or ranscripion

More information

Task is a schedulable entity, i.e., a thread

Task is a schedulable entity, i.e., a thread Real-Time Scheduling Sysem Model Task is a schedulable eniy, i.e., a hread Time consrains of periodic ask T: - s: saring poin - e: processing ime of T - d: deadline of T - p: period of T Periodic ask T

More information

Kinematics in 1-D From Problems and Solutions in Introductory Mechanics (Draft version, August 2014) David Morin, morin@physics.harvard.

Kinematics in 1-D From Problems and Solutions in Introductory Mechanics (Draft version, August 2014) David Morin, morin@physics.harvard. Chaper 2 Kinemaics in 1-D From Problems and Soluions in Inroducory Mechanics (Draf ersion, Augus 2014) Daid Morin, morin@physics.harard.edu As menioned in he preface, his book should no be hough of as

More information

The naive method discussed in Lecture 1 uses the most recent observations to forecast future values. That is, Y ˆ t + 1

The naive method discussed in Lecture 1 uses the most recent observations to forecast future values. That is, Y ˆ t + 1 Business Condiions & Forecasing Exponenial Smoohing LECTURE 2 MOVING AVERAGES AND EXPONENTIAL SMOOTHING OVERVIEW This lecure inroduces ime-series smoohing forecasing mehods. Various models are discussed,

More information

Chapter 4: Exponential and Logarithmic Functions

Chapter 4: Exponential and Logarithmic Functions Chaper 4: Eponenial and Logarihmic Funcions Secion 4.1 Eponenial Funcions... 15 Secion 4. Graphs of Eponenial Funcions... 3 Secion 4.3 Logarihmic Funcions... 4 Secion 4.4 Logarihmic Properies... 53 Secion

More information

Chapter 1.6 Financial Management

Chapter 1.6 Financial Management Chaper 1.6 Financial Managemen Par I: Objecive ype quesions and answers 1. Simple pay back period is equal o: a) Raio of Firs cos/ne yearly savings b) Raio of Annual gross cash flow/capial cos n c) = (1

More information

Why Did the Demand for Cash Decrease Recently in Korea?

Why Did the Demand for Cash Decrease Recently in Korea? Why Did he Demand for Cash Decrease Recenly in Korea? Byoung Hark Yoo Bank of Korea 26. 5 Absrac We explores why cash demand have decreased recenly in Korea. The raio of cash o consumpion fell o 4.7% in

More information

Measuring macroeconomic volatility Applications to export revenue data, 1970-2005

Measuring macroeconomic volatility Applications to export revenue data, 1970-2005 FONDATION POUR LES ETUDES ET RERS LE DEVELOPPEMENT INTERNATIONAL Measuring macroeconomic volailiy Applicaions o expor revenue daa, 1970-005 by Joël Cariolle Policy brief no. 47 March 01 The FERDI is a

More information

Signal Rectification

Signal Rectification 9/3/25 Signal Recificaion.doc / Signal Recificaion n imporan applicaion of juncion diodes is signal recificaion. here are wo ypes of signal recifiers, half-wae and fullwae. Le s firs consider he ideal

More information

The option pricing framework

The option pricing framework Chaper 2 The opion pricing framework The opion markes based on swap raes or he LIBOR have become he larges fixed income markes, and caps (floors) and swapions are he mos imporan derivaives wihin hese markes.

More information

Fourier Series and Fourier Transform

Fourier Series and Fourier Transform Fourier Series and Fourier ransform Complex exponenials Complex version of Fourier Series ime Shifing, Magniude, Phase Fourier ransform Copyrigh 2007 by M.H. Perro All righs reserved. 6.082 Spring 2007

More information

Steps for D.C Analysis of MOSFET Circuits

Steps for D.C Analysis of MOSFET Circuits 10/22/2004 Seps for DC Analysis of MOSFET Circuis.doc 1/7 Seps for D.C Analysis of MOSFET Circuis To analyze MOSFET circui wih D.C. sources, we mus follow hese five seps: 1. ASSUME an operaing mode 2.

More information

Keldysh Formalism: Non-equilibrium Green s Function

Keldysh Formalism: Non-equilibrium Green s Function Keldysh Formalism: Non-equilibrium Green s Funcion Jinshan Wu Deparmen of Physics & Asronomy, Universiy of Briish Columbia, Vancouver, B.C. Canada, V6T 1Z1 (Daed: November 28, 2005) A review of Non-equilibrium

More information

Markov Chain Modeling of Policy Holder Behavior in Life Insurance and Pension

Markov Chain Modeling of Policy Holder Behavior in Life Insurance and Pension Markov Chain Modeling of Policy Holder Behavior in Life Insurance and Pension Lars Frederik Brand Henriksen 1, Jeppe Woemann Nielsen 2, Mogens Seffensen 1, and Chrisian Svensson 2 1 Deparmen of Mahemaical

More information

A Note on Using the Svensson procedure to estimate the risk free rate in corporate valuation

A Note on Using the Svensson procedure to estimate the risk free rate in corporate valuation A Noe on Using he Svensson procedure o esimae he risk free rae in corporae valuaion By Sven Arnold, Alexander Lahmann and Bernhard Schwezler Ocober 2011 1. The risk free ineres rae in corporae valuaion

More information

Journal Of Business & Economics Research September 2005 Volume 3, Number 9

Journal Of Business & Economics Research September 2005 Volume 3, Number 9 Opion Pricing And Mone Carlo Simulaions George M. Jabbour, (Email: jabbour@gwu.edu), George Washingon Universiy Yi-Kang Liu, (yikang@gwu.edu), George Washingon Universiy ABSTRACT The advanage of Mone Carlo

More information

The Greek financial crisis: growing imbalances and sovereign spreads. Heather D. Gibson, Stephan G. Hall and George S. Tavlas

The Greek financial crisis: growing imbalances and sovereign spreads. Heather D. Gibson, Stephan G. Hall and George S. Tavlas The Greek financial crisis: growing imbalances and sovereign spreads Heaher D. Gibson, Sephan G. Hall and George S. Tavlas The enry The enry of Greece ino he Eurozone in 2001 produced a dividend in he

More information

Chapter 2 Problems. 3600s = 25m / s d = s t = 25m / s 0.5s = 12.5m. Δx = x(4) x(0) =12m 0m =12m

Chapter 2 Problems. 3600s = 25m / s d = s t = 25m / s 0.5s = 12.5m. Δx = x(4) x(0) =12m 0m =12m Chaper 2 Problems 2.1 During a hard sneeze, your eyes migh shu for 0.5s. If you are driving a car a 90km/h during such a sneeze, how far does he car move during ha ime s = 90km 1000m h 1km 1h 3600s = 25m

More information

Communication Networks II Contents

Communication Networks II Contents 3 / 1 -- Communicaion Neworks II (Görg) -- www.comnes.uni-bremen.de Communicaion Neworks II Conens 1 Fundamenals of probabiliy heory 2 Traffic in communicaion neworks 3 Sochasic & Markovian Processes (SP

More information

Fourier Series & The Fourier Transform

Fourier Series & The Fourier Transform Fourier Series & The Fourier Transform Wha is he Fourier Transform? Fourier Cosine Series for even funcions and Sine Series for odd funcions The coninuous limi: he Fourier ransform (and is inverse) The

More information

Supplementary Appendix for Depression Babies: Do Macroeconomic Experiences Affect Risk-Taking?

Supplementary Appendix for Depression Babies: Do Macroeconomic Experiences Affect Risk-Taking? Supplemenary Appendix for Depression Babies: Do Macroeconomic Experiences Affec Risk-Taking? Ulrike Malmendier UC Berkeley and NBER Sefan Nagel Sanford Universiy and NBER Sepember 2009 A. Deails on SCF

More information

THE PRESSURE DERIVATIVE

THE PRESSURE DERIVATIVE Tom Aage Jelmer NTNU Dearmen of Peroleum Engineering and Alied Geohysics THE PRESSURE DERIVATIVE The ressure derivaive has imoran diagnosic roeries. I is also imoran for making ye curve analysis more reliable.

More information

Option Put-Call Parity Relations When the Underlying Security Pays Dividends

Option Put-Call Parity Relations When the Underlying Security Pays Dividends Inernaional Journal of Business and conomics, 26, Vol. 5, No. 3, 225-23 Opion Pu-all Pariy Relaions When he Underlying Securiy Pays Dividends Weiyu Guo Deparmen of Finance, Universiy of Nebraska Omaha,

More information

Dependent Interest and Transition Rates in Life Insurance

Dependent Interest and Transition Rates in Life Insurance Dependen Ineres and ransiion Raes in Life Insurance Krisian Buchard Universiy of Copenhagen and PFA Pension January 28, 2013 Absrac In order o find marke consisen bes esimaes of life insurance liabiliies

More information

Module 3 Design for Strength. Version 2 ME, IIT Kharagpur

Module 3 Design for Strength. Version 2 ME, IIT Kharagpur Module 3 Design for Srengh Lesson 2 Sress Concenraion Insrucional Objecives A he end of his lesson, he sudens should be able o undersand Sress concenraion and he facors responsible. Deerminaion of sress

More information

Working Paper On the timing option in a futures contract. SSE/EFI Working Paper Series in Economics and Finance, No. 619

Working Paper On the timing option in a futures contract. SSE/EFI Working Paper Series in Economics and Finance, No. 619 econsor www.econsor.eu Der Open-Access-Publikaionsserver der ZBW Leibniz-Informaionszenrum Wirschaf The Open Access Publicaion Server of he ZBW Leibniz Informaion Cenre for Economics Biagini, Francesca;

More information

Making Use of Gate Charge Information in MOSFET and IGBT Data Sheets

Making Use of Gate Charge Information in MOSFET and IGBT Data Sheets Making Use of ae Charge Informaion in MOSFET and IBT Daa Shees Ralph McArhur Senior Applicaions Engineer Advanced Power Technology 405 S.W. Columbia Sree Bend, Oregon 97702 Power MOSFETs and IBTs have

More information

Present Value Methodology

Present Value Methodology Presen Value Mehodology Econ 422 Invesmen, Capial & Finance Universiy of Washingon Eric Zivo Las updaed: April 11, 2010 Presen Value Concep Wealh in Fisher Model: W = Y 0 + Y 1 /(1+r) The consumer/producer

More information

A UNIFIED APPROACH TO MATHEMATICAL OPTIMIZATION AND LAGRANGE MULTIPLIER THEORY FOR SCIENTISTS AND ENGINEERS

A UNIFIED APPROACH TO MATHEMATICAL OPTIMIZATION AND LAGRANGE MULTIPLIER THEORY FOR SCIENTISTS AND ENGINEERS A UNIFIED APPROACH TO MATHEMATICAL OPTIMIZATION AND LAGRANGE MULTIPLIER THEORY FOR SCIENTISTS AND ENGINEERS RICHARD A. TAPIA Appendix E: Differeniaion in Absrac Spaces I should be no surprise ha he differeniaion

More information

Transient Analysis of First Order RC and RL circuits

Transient Analysis of First Order RC and RL circuits Transien Analysis of Firs Order and iruis The irui shown on Figure 1 wih he swih open is haraerized by a pariular operaing ondiion. Sine he swih is open, no urren flows in he irui (i=0) and v=0. The volage

More information

Lecture Note on the Real Exchange Rate

Lecture Note on the Real Exchange Rate Lecure Noe on he Real Exchange Rae Barry W. Ickes Fall 2004 0.1 Inroducion The real exchange rae is he criical variable (along wih he rae of ineres) in deermining he capial accoun. As we shall see, his

More information

Motion Along a Straight Line

Motion Along a Straight Line Moion Along a Sraigh Line On Sepember 6, 993, Dave Munday, a diesel mechanic by rade, wen over he Canadian edge of Niagara Falls for he second ime, freely falling 48 m o he waer (and rocks) below. On his

More information

II.1. Debt reduction and fiscal multipliers. dbt da dpbal da dg. bal

II.1. Debt reduction and fiscal multipliers. dbt da dpbal da dg. bal Quarerly Repor on he Euro Area 3/202 II.. Deb reducion and fiscal mulipliers The deerioraion of public finances in he firs years of he crisis has led mos Member Saes o adop sizeable consolidaion packages.

More information

Vector Autoregressions (VARs): Operational Perspectives

Vector Autoregressions (VARs): Operational Perspectives Vecor Auoregressions (VARs): Operaional Perspecives Primary Source: Sock, James H., and Mark W. Wason, Vecor Auoregressions, Journal of Economic Perspecives, Vol. 15 No. 4 (Fall 2001), 101-115. Macroeconomericians

More information

Name: Algebra II Review for Quiz #13 Exponential and Logarithmic Functions including Modeling

Name: Algebra II Review for Quiz #13 Exponential and Logarithmic Functions including Modeling Name: Algebra II Review for Quiz #13 Exponenial and Logarihmic Funcions including Modeling TOPICS: -Solving Exponenial Equaions (The Mehod of Common Bases) -Solving Exponenial Equaions (Using Logarihms)

More information

Single-machine Scheduling with Periodic Maintenance and both Preemptive and. Non-preemptive jobs in Remanufacturing System 1

Single-machine Scheduling with Periodic Maintenance and both Preemptive and. Non-preemptive jobs in Remanufacturing System 1 Absrac number: 05-0407 Single-machine Scheduling wih Periodic Mainenance and boh Preempive and Non-preempive jobs in Remanufacuring Sysem Liu Biyu hen Weida (School of Economics and Managemen Souheas Universiy

More information

CRISES AND THE FLEXIBLE PRICE MONETARY MODEL. Sarantis Kalyvitis

CRISES AND THE FLEXIBLE PRICE MONETARY MODEL. Sarantis Kalyvitis CRISES AND THE FLEXIBLE PRICE MONETARY MODEL Saranis Kalyviis Currency Crises In fixed exchange rae regimes, counries rarely abandon he regime volunarily. In mos cases, raders (or speculaors) exchange

More information

ANALYTIC PROOF OF THE PRIME NUMBER THEOREM

ANALYTIC PROOF OF THE PRIME NUMBER THEOREM ANALYTIC PROOF OF THE PRIME NUMBER THEOREM RYAN SMITH, YUAN TIAN Conens Arihmeical Funcions Equivalen Forms of he Prime Number Theorem 3 3 The Relaionshi Beween Two Asymoic Relaions 6 4 Dirichle Series

More information

Autonomous Equations / Stability of Equilibrium Solutions. y = f (y).

Autonomous Equations / Stability of Equilibrium Solutions. y = f (y). Autonomous Equations / Stabilit of Equilibrium Solutions First order autonomous equations, Equilibrium solutions, Stabilit, Longterm behavior of solutions, direction fields, Population dnamics and logistic

More information

Hedging with Forwards and Futures

Hedging with Forwards and Futures Hedging wih orwards and uures Hedging in mos cases is sraighforward. You plan o buy 10,000 barrels of oil in six monhs and you wish o eliminae he price risk. If you ake he buy-side of a forward/fuures

More information