First Order Partial Differential Equations

Size: px
Start display at page:

Download "First Order Partial Differential Equations"

Transcription

1 Firs Order Parial Differenial Equaions 1. The Mehod of Characerisics A parial differenial equaion of order one in is mos general form is an equaion of he form F x,u, u 0, 1.1 where he unknown is he funcion u u x u x 1,...,x n of n real variables. Here, we will no consider problems of such generaliy bu will focus insead on a smaller class of problems. For example, he equaion (1.1) is said o be a quasilinear equaion in wo variables if i is of he form a,x,u u x, b,x,u x u,x f,x,u, 1.2 i.e., he equaion is linear in he derivaives u and x u bu is nonlinear in u. If f,x,u 0, he equaion is said o be homogeneous. In order o make he noaion more convenien laer, we are choosing o call he independen variables, and x. Suppose u u x, is a smooh soluion of (1.2) and le S,x,u R 3 : u u x,. Then S is said o be a soluion surface for (1.2). The smoohness of he soluion u means ha S has a angen plane a each poin,x,u S. The normal vecor n o he angen plane has he direcion numbers u, x u, 1 ; i.e., u x, u 0 is he equaion of S and u x udx 0 is he equaion of he angen plane. Now consider a curve C s, x x s, u u s, s I soluion curve for he sysem a,x,u, dx b,x,u, du f,x,u, in 3-space defined as a 1.3 If T denoes a vecor angen o C a,x,u hen he direcion numbers of T mus be a,b,f. Bu hen (1.2) implies ha T n, which is o say, T lies in he angen plane o he surface S. Bu if T lies in he angen plane, hen C mus lie in S. Evidenly, soluion curves of (1.2) lie in he soluion surface S associaed wih (1.2). Such curves are called characerisic curves for (1.2). We could also consider a plane curve C B defined by he pair of equaions, a,x,u, dx b,x,u, 1.3 Noe ha if u u x, is a soluion for (1.2) hen u x, a,b a,x,u u x, b,x,u x u x,,u f,x,u, Bu u x, a,b is jus a direcional derivaive of u x, along he direcion angen o C B. Then we can view he PDE (1.2) as an ordinary differenial equaion along he special curve C B ; i.e., a,x,u u x, b,x,u x u x,,u u x, xu x, dx f,x,u. 1

2 We refer o he curves C as "space characerisics" and o he plane curves C B as "base characerisics" for he PDE (1.2). In general, he PDE is solved by solving he ordinary differenial equaions (1.3) for C as a sysem. In cerain special cases, he soluion process can be accomplished by solving he pair of equaions (1.3 ) firs and hen solving he ODE for u separaely. We will recall now some noions from differenial geomery ha will clarify he procedure for solving he sysem (1.3). Inegral Curves for Vecor Fiel A vecor valued funcion, V P,x,u,Q,x,u,R,x,u is called a vecor field if P,Q,R are all smooh funcions and if P 2 Q 2 R 2 is never zero. A space curve, C s, x x s, u u s, s I is said o be an inegral curve or rajecory for V if V is angen o C a every poin; i.e., if or, equivalenly, P,x,u, dx P dx Q Q,x,u, du R R,x,u, 1.4a 1.4b A funcion,x,u is said o be a firs inegral for he vecor field V P,Q,R if P,x,u Q,x,u x R,x,u u The rajecories C for V will be found by represening C as he inersecion of level surfaces of firs inegrals. The level surfaces S j,x,u : j,x,u C j j 1,2 inersec ransversally a each poin if heir normals, n 1 and n 2 are never parallel. This siuaion occurs if 1 and 2 are such ha he expression 1 2 is differen from zero a each poin. In his case he funcions 1 and 2 are said o be funcionally independen and heir level surfaces S 1 and S 2 inersec in a curve C. Since C hen lies in boh of he surfaces, S 1 and S 2, he angen o C is normal o boh n 1 and n 2, ha is o boh 1 and 2. This is he same hing as saying boh 1 and 2 saisfy (1.5). We will illusrae wih examples. Example Consider he radial vecor field V,x,u. A firs inegral mus saisfy,x,u x x,x,u u u,x,u 0. To obain a soluion, we consider he following sysem of ode s Then and dx x u or dx x lea o x C 1, dx x u implies x u C 2. dx x and dx x Tha is, 1,x,u x and 2,x,u u x are a pair of firs inegrals for V,x,u. We can show ha for any smooh funcion F of wo variables, 3,x,u F 1,x,u, 2,x,u u 2

3 is also a firs inegral for V and 3 is hen viewed as an implici represenaion for he mos general soluion of he firs inegral pde. Problem 1.1 Show ha if 1,x,u and 2,x,u are a pair of firs inegrals for V hen 3,x,u F 1,x,u, 2,x,u, where F denoes an arbirary smooh funcion of wo variables, is also a firs inegral for V.. Problem 1.2 Show ha 1,x,u x and 2,x,u u x are funcionally independen. 2. Consider he vecor field V,u,x. The rajecories are soluion curves for he following sysem of ode s From dx u dx u x or x and dx u x i follows ha x 2 u 2 C 1. Then x x u 2 C 1 and C 2 u u 2 C 1 C 2 u x. Evidenly, 1 x 2 u 2 and 2 u x are a pair of firs inegrals for he vecor field V,u,x. Each of hese funcions saisfies,x,u u x,x,u x u,x,u 0, and he mos general soluion of his equaion can be wrien implicily as F x 2 u 2, u x 0, where F denoes an arbirary smooh funcion of wo variables. Characerisics for Quasilinear PDE s of Order 1 We are aware now ha C is a characerisic curve for he quasilinear pde (1.2) if C is a rajecory for he vecor field V a,b, f. Then soluions for he pde can be obained from firs inegrals for he vecor field. However, we are no usually ineresed in finding he mos general soluion for he pde bu are insead ineresed in finding cerain paricular soluions. For example, we shall be ineresed in finding a soluion for (1.2) ha saisfies he addiional condiion ha u x, g x, on C I : x x,. where he curve C I and he funcion g are given. A condiion of his form is called a Cauchy condiion, and he problem of finding a soluion for (1.2) ha saisfies he Cauchy condiion is called a Cauchy iniial value problem. Example For consan, consider he following Cauchy problem u x, x u x, 0, u x,0 1 3

4 The characerisic sysem (1.3) becomes, x s, s 1, u s 0 The base characerisics, C B are soluion curves for, 1, dx. This pair of equaions is equivalen o he single equaion, dx, for which he soluion is, x x 0. The base characerisic curves, C B, are a family of sraigh lines all having he same slope. Then along any base characerisic curve, u x, x u x, u x, x u x, dx from which i follows ha u is a consan on each such curve. To express he fac ha u is consan along base characerisics bu need no equal he same consan on every base characerisic, we can wrie, u x, f x where f f z denoes an arbirary smooh funcion of one variable. Then u x, f x is a general soluion for he parial differenial equaion. Now u x,0 f x and his, combined wih he Cauchy iniial condiion, lea o he paricular soluion u x, 1 1 x 2 for he Cauchy problem. Noe ha he iniial value u 0 u x 0,0 of he soluion a he poin x 0 propagaes along he line x x 0 ; i.e., u x, u 0 a all poins x, such ha x x 0. As a resul, if he iniial daa is specified only on he inerval, say 0 x 10, hen he soluion is deermined only in he srip, x, : x 10, 0. The srip is he domain of influence of he iniial inerval I 0 x 10. The pde in his example is linear which lea o he resul ha he characerisic sysem of ode s uncouples. Tha is, he firs wo equaions are independen of u which means we can solve he equaion x separaely from he equaion u 0. 0, 2. Now consider a Cauchy problem for he variable coefficien equaion u x, x u x, 0, u x,0 1 Here we replaced he consan coefficien wih he variable coefficien,. The coefficiens in his equaion are funcions of he independen variables, x, bu do no depend on he unknown funcion u. Hence he equaion is a linear parial differenial equaion as was he equaion in he previous example. The base characerisics are soluion curves for he sysem s 1, and x s. This is equivalen o he single ode, dx whose soluion is given by, x 2 /2 c 0, or x 2 /2 c 1.Then he base characerisics in his problem are a family of parabolas. The remaining equaion in he characerisic sysem, u s 0, implies ha u is consan along he base characerisic curves. Since u need no have he same consan value on every base characerisic, he general soluion has he form u x, F x 2 /2 for an arbirary smooh funcion of one variable F. Using his in he iniial condiion lea o, u x,0 F x 1 and hen he paricular soluion ha solves he iniial value problem is given by, 4

5 u x, 1 1 x 2 / Finally, consider a Cauchy problem for an inhomogeneous equaion u x, x u x, 4u, u x,0 1 Since he lef side of his equaion is he same as he previous example, his problem will have he same base characerisics, x 2 /2 c 1.The hird equaion in he characerisic sysem rea u 4u, and he soluion is given by u C 2 e 4 along each characerisic. Since he parameer C 2 is consan on each base characerisic, bu no necessarily he same consan on all base characerisics, we wrie u x, F x 2 /2 e 4 for he general soluion of he PDE. The paricular soluion o he iniial value problem is easily found o be u x, e 4 1 x 2 /2 2. Poins worh noing abou hese examples: he soluion curves of he sysem s a x, and x s b x, can be uncoupled from he equaion u s f x,,u and we can solve for x x s, s wihou solving for u. The soluion curves are curves in he x- plane. In order o disinguish hese plane curves from he characerisic curves in 3-space, we refer o he plane soluion curves as base characerisics and use he erm space characerisics when referring o characerisic curves in 3-space. The base characerisics are he projecions ino he x- plane of he characerisic curves for he pde s. Since he pde s in hese examples are linear, (i.e.,he coefficiens a and b do no depend on u, he base characerisics can be deermined wihou finding u. he consan coefficiens in example 1 led o sraigh line base characerisics while he variable coefficien in example 2 led o base characerisics which were parabolas. However even when he base characerisics are curved, he family of curves is coheren; i.e., base characerisics which originae a disinc poins can never cross.(see he remark below) he space characerisic curves in he firs wo examples are curves of he form x x, u cons ; i.e., hey are plane curves lying in planes parallel o he x- plane. This is due o he fac ha in boh examples, he parial differenial equaion is homogeneous and in such cases, he pde reduces o du/ 0 along base characerisics wih he obvious resul ha soluions are consan along base characerisics and along space characerisics. In example 3, he inhomogeneous pde lea o space characerisics ha are no plane curves since in his case du/ was no equal o zero. To see why characerisics for linear equaions are coheren, le C 1 and C 2 denoe disinc base characerisics of he equaion a,x u x, b,x x u,x,u f,x,u, which cross a some poin x 0, 0. Inersecion a a poin requires ha he curves have noncoinciden angens a he poin of inersecion. Bu his is inconsisen wih (1.2) which 5

6 implies ha a x 0, 0 dx C 1 b x 0, 0 dx C 2 i.e., he angens o C 1 and C 2 have equal slopes a he poin of inersecion. In he case of quasilinear equaions, where he coefficiens can depend on u, we will see ha his coherence can fail. 4. Consider a Cauchy problem for a linear bu inhomogeneous equaion x u x, 2x x u x, 2 u, u x,0 x 3. The characerisics are he soluions of x, dx 2x, du 2 u, or x dx 2x, and du 2u dx 2x. Since he equaion is linear, he base characerisic curves can be obained independen of he soluion u. The soluions for he characerisic equaions are given by x 2 C 0 and x u C 1. Since he parameer C 1 is consan on any base characerisic bu may have disinc values on differen characerisics, he general soluion for he parial differenial equaion can be expressed as Then u C 1 x F x 2 x. u x,0 F x x x 3. implies ha F x x 4 hence he paricular soluion for he iniial value problem is, u x, x 2 4 x. In each of hese linear examples, he soluion procedure was he same: firs find he base characerisics and hen find he soluion of he parial differenial equaion. Noe ha in each case, he soluion obained was a global soluion in he sense ha i exiss and saisfies he pde for all 0.We shall see ha in quasilinear problems, he soluion may no be global in. 4. Consider he following quasilinear problem, u x, x u x, u x, 2, u x,0 1 The characerisic sysem can be wrien as 1 dx or u 2 1 dx and 1 u 2. The pde is linear in he leading erms (in fac, his special subclass of quasilinear problems is referred o as he class of semilinear problems) so ha he characerisic sysem uncouples and he base characerisics can be found wihou knowing he soluion u. Clearly 6

7 he base characerisics are he family of sraigh lines x x 0. The remaining characerisic equaion u u 2 has he soluion u C 1 1, where C 1 is consan along he base characerisics. Since C 1 need no be he same for all base characerisics, i follows ha he mos general soluion for he pde can be wrien as, u x, 1 F x. The iniial condiion implies u x,0 1 F x 1 1 x, 2 of he Cauchy iniial value problem is u x, 1 x 2 1 or F x 1 x2. Then he soluion Noe ha in spie of he smoohness of he iniial daa, he soluion develops a singulariy a x, 1. Ploing soluion profiles a imes approaching 1 shows ha he soluion behaves like a wave ha propagaes from lef o righ and sharpens o a spike a x, as approaches 1. u(x,) versus x for 0,.5,.9 We compue x u x, 2 x 4 1 x from which i is eviden ha he gradien, x u x, has an even sronger singulariy a x 4, 1. The developing gradien singulariy can be seen in he following plo of gradien profiles for increasing. gradien u x, versus x for 0,.5,.9 7

8 Since his pde is semilinear (i.e., linear in is leading erms) and has smooh iniial daa, he sponaneous singular behavior in he soluion mus be due o he nonlinear erm on he righ side of he equaion. Noe also ha semilinear equaions permi he base characerisics (i.e. he soluion curves for s a, x s b ) o be found independen of he soluion u u x, and hen he PDE reduces o a nonlinear ODE along he base characerisics. 5. Consider he quasilinear Cauchy problem, u x, u x u x, 0, u x,0 1 1 x 2 f x. Here he coefficiens of u x, and x u x, depend on u so he characerisic equaions become 1, dx u and du 0, or dx u and du 0. In his case hese equaions do no uncouple. In order o solve he equaions as a sysem, we noe firs he equaion u 0. This implies u C 1 along soluions of he oher equaion, dx/ u. This is o say, u u 0 along base characerisics which are he sraigh lines, x u 0 x 0. Then, as usual, we have a general soluion of he form u x, F x u. I follows from he iniial condiion ha he iniial value u 0 originaing a x 0,0 is given by u x 0,0 F x 0 f x 0. The soluion u can hen be expressed implicily by wriing u x, 1 1 x u 2 and his equaion can be solved for u in erms of x and. The resul, obainable using Maple or Mahemaica, is a complicaed funcion of x,. As in he previous example, he quasilineariy of he pde produces some singular behavior in he soluion. For insance, suppose u u 0 f x 0 along x u 0 x 0 and u u 1 f x 1 along x u 1 x 1 x 0. If u 1 u 0, hen he wo sraigh lines inersec a x, where x 1 x 0 u 1 u 0, x u 1x 0 u 0 x 1 u 1 u 0. Noe ha he ime of inersecion,, is posiive if x 1 x 0 and u 1 u 0. A such a poin of inersecion, u x, has he impossible requiremen of being simulaneously equal o he disinc values u 1 u 0. We conclude ha he soluion breaks down in some way a his poin. Noe furher ha i.e. u x, f x u lea o x u x, f x u 1 f x u. x u x, f x u 1 x u x, ; Evidenly he gradien x u x, becomes undefined a any poin where, 1 f x u 0, anoher indicaion ha he soluion breaks down a some finie ime. 8

9 In each of he las wo examples we have seen equaions wih smooh coefficiens and iniial daa develop sponaneous singulariies due o he nonlineariy of he equaions. The soluions in hese wo examples break down a some finie ime and no classical soluion for he iniial value problems exiss pas his poin of breakdown. I will be necessary o weaken he noion of soluion in order for hese nonlinear problems o be solvable globally. Finally, consider following inhomogeneous example. 6. Consider he inhomogeneous quasilinear Cauchy problem, u x, u x u x, 1, u x,0 x. Here he characerisic equaions become 1, dx so we can rewrie hese as u and du 1, Then we arrive a firs inegrals, 1, 2 dx du u and du 1. 1 x,,u u C 1 and 2 x,,u x 1 2 u2 C 2 which lea o x 1 2 u2 C C 1 2 C C 1 C 3 and hen a hird inegral of he sysem is 3 x,,u x u C 3 Then a general soluion can be wrien as, i.e., The iniial condiion, 1 x,,u F 3 x,,u ; u F x u x u x,0 0 F x 0 lea o he paricular soluion, u x u which can be solved explicily for u as follows u x, x Noe ha he inhomogeneous equaion led o a simpler soluion han he homogeneous problem in he previous example. In addiion, his soluion has no singulariy for 0. Problem 1.3 Consider he Cauchy iniial value problem 9

10 u x, x x u x, x u x,, u x,0 1 Solve he characerisic equaions and find he equaion of he base characerisic ha passes hrough he poin 1,2. Find he mos general soluion of he pde. Find he paricular soluion ha saisfies he iniial condiion and describe he se of poins x, where he soluion is deermined if he iniial values are specified only for 1 x 1. Problem 1.4 Consider he Cauchy iniial value problem 4x u x, 9 x u x, x u, u x,0 x2 Solve he characerisic equaions o find wo firs inegrals of he associaed vecor field. Find he mos general soluion of he pde Find he paricular soluion ha saisfies he iniial condiion. Does he soluion have any singular behavior? Problem 1.5 Consider he Cauchy iniial value problem u u x, x x u x,, u 1, 2 Solve he characerisic equaions o find wo firs inegrals of he associaed vecor field. Find he mos general soluion of he pde. Find he paricular soluion ha saisfies he iniial condiion. Does he soluion have any singular behavior? 10

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Second Order Linear Differential Equations

Second Order Linear Differential Equations 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

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

AP Calculus AB 2010 Scoring Guidelines

AP Calculus AB 2010 Scoring Guidelines AP Calculus AB 1 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 1, he College

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

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

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

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

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

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

A Curriculum Module for AP Calculus BC Curriculum Module

A Curriculum Module for AP Calculus BC Curriculum Module Vecors: A Curriculum Module for AP Calculus BC 00 Curriculum Module The College Board The College Board is a no-for-profi membership associaion whose mission is o connec sudens o college success and opporuniy.

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

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

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

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

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

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

Module 3. R-L & R-C Transients. Version 2 EE IIT, Kharagpur

Module 3. R-L & R-C Transients. Version 2 EE IIT, Kharagpur Module 3 - & -C Transiens esson 0 Sudy of DC ransiens in - and -C circuis Objecives Definiion of inducance and coninuiy condiion for inducors. To undersand he rise or fall of curren in a simple series

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

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

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

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

= 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

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

PRESSURE BUILDUP. Figure 1: Schematic of an ideal buildup test

PRESSURE BUILDUP. Figure 1: Schematic of an ideal buildup test Tom Aage Jelmer NTNU Dearmen of Peroleum Engineering and Alied Geohysics PRESSURE BUILDUP I is difficul o kee he rae consan in a roducing well. This is no an issue in a buildu es since he well is closed.

More information

SEMIMARTINGALE STOCHASTIC APPROXIMATION PROCEDURE AND RECURSIVE ESTIMATION. Chavchavadze Ave. 17 a, Tbilisi, Georgia, E-mail: toronj333@yahoo.

SEMIMARTINGALE STOCHASTIC APPROXIMATION PROCEDURE AND RECURSIVE ESTIMATION. Chavchavadze Ave. 17 a, Tbilisi, Georgia, E-mail: toronj333@yahoo. SEMIMARTINGALE STOCHASTIC APPROXIMATION PROCEDURE AND RECURSIVE ESTIMATION N. LAZRIEVA, 2, T. SHARIA 3, 2 AND T. TORONJADZE Georgian American Universiy, Business School, 3, Alleyway II, Chavchavadze Ave.

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

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

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

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

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

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

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

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

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

LECTURE 7 Interest Rate Models I: Short Rate Models

LECTURE 7 Interest Rate Models I: Short Rate Models LECTURE 7 Ineres Rae Models I: Shor Rae Models Spring Term 212 MSc Financial Engineering School of Economics, Mahemaics and Saisics Birkbeck College Lecurer: Adriana Breccia email: abreccia@emsbbkacuk

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

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

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

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

Optimal Investment and Consumption Decision of Family with Life Insurance

Optimal Investment and Consumption Decision of Family with Life Insurance Opimal Invesmen and Consumpion Decision of Family wih Life Insurance Minsuk Kwak 1 2 Yong Hyun Shin 3 U Jin Choi 4 6h World Congress of he Bachelier Finance Sociey Torono, Canada June 25, 2010 1 Speaker

More information

A Generalized Bivariate Ornstein-Uhlenbeck Model for Financial Assets

A Generalized Bivariate Ornstein-Uhlenbeck Model for Financial Assets A Generalized Bivariae Ornsein-Uhlenbeck Model for Financial Asses Romy Krämer, Mahias Richer Technische Universiä Chemniz, Fakulä für Mahemaik, 917 Chemniz, Germany Absrac In his paper, we sudy mahemaical

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

Stochastic Calculus and Option Pricing

Stochastic Calculus and Option Pricing Sochasic Calculus and Opion Pricing Leonid Kogan MIT, Sloan 15.450, Fall 2010 c Leonid Kogan ( MIT, Sloan ) Sochasic Calculus 15.450, Fall 2010 1 / 74 Ouline 1 Sochasic Inegral 2 Iô s Lemma 3 Black-Scholes

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

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

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

OPTIMAL PRODUCTION SALES STRATEGIES FOR A COMPANY AT CHANGING MARKET PRICE

OPTIMAL PRODUCTION SALES STRATEGIES FOR A COMPANY AT CHANGING MARKET PRICE REVISA DE MAEMÁICA: EORÍA Y APLICACIONES 215 22(1) : 89 112 CIMPA UCR ISSN: 149-2433 (PRIN), 2215-3373 (ONLINE) OPIMAL PRODUCION SALES SRAEGIES FOR A COMPANY A CHANGING MARKE PRICE ESRAEGIAS ÓPIMAS DE

More information

INSTRUMENTS OF MONETARY POLICY*

INSTRUMENTS OF MONETARY POLICY* Aricles INSTRUMENTS OF MONETARY POLICY* Bernardino Adão** Isabel Correia** Pedro Teles**. INTRODUCTION A classic quesion in moneary economics is wheher he ineres rae or he money supply is he beer insrumen

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

T ϕ t ds t + ψ t db t,

T ϕ t ds t + ψ t db t, 16 PRICING II: MARTINGALE PRICING 2. Lecure II: Pricing European Derivaives 2.1. The fundamenal pricing formula for European derivaives. We coninue working wihin he Black and Scholes model inroduced in

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

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

WHAT ARE OPTION CONTRACTS?

WHAT ARE OPTION CONTRACTS? WHAT ARE OTION CONTRACTS? By rof. Ashok anekar An oion conrac is a derivaive which gives he righ o he holder of he conrac o do 'Somehing' bu wihou he obligaion o do ha 'Somehing'. The 'Somehing' can be

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

B-Splines and NURBS Week 5, Lecture 9

B-Splines and NURBS Week 5, Lecture 9 CS 430/536 Compuer Graphics I B-Splines an NURBS Wee 5, Lecure 9 Davi Breen, William Regli an Maxim Peysahov Geomeric an Inelligen Compuing Laboraory Deparmen of Compuer Science Drexel Universiy hp://gicl.cs.rexel.eu

More information

1 A B C D E F G H I J K L M N O P Q R S { U V W X Y Z 1 A B C D E F G H I J K L M N O P Q R S { U V W X Y Z

1 A B C D E F G H I J K L M N O P Q R S { U V W X Y Z 1 A B C D E F G H I J K L M N O P Q R S { U V W X Y Z o ffix uden abel ere uden ame chool ame isric ame/ ender emale ale onh ay ear ae of irh an eb ar pr ay un ul ug ep c ov ec as ame irs ame lace he uden abel ere ae uden denifier chool se nly rined in he

More information

Optimal Stock Selling/Buying Strategy with reference to the Ultimate Average

Optimal Stock Selling/Buying Strategy with reference to the Ultimate Average Opimal Sock Selling/Buying Sraegy wih reference o he Ulimae Average Min Dai Dep of Mah, Naional Universiy of Singapore, Singapore Yifei Zhong Dep of Mah, Naional Universiy of Singapore, Singapore July

More information

Principal components of stock market dynamics. Methodology and applications in brief (to be updated ) Andrei Bouzaev, bouzaev@ya.

Principal components of stock market dynamics. Methodology and applications in brief (to be updated ) Andrei Bouzaev, bouzaev@ya. Principal componens of sock marke dynamics Mehodology and applicaions in brief o be updaed Andrei Bouzaev, bouzaev@ya.ru Why principal componens are needed Objecives undersand he evidence of more han one

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

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

Analysis of tax effects on consolidated household/government debts of a nation in a monetary union under classical dichotomy

Analysis of tax effects on consolidated household/government debts of a nation in a monetary union under classical dichotomy MPRA Munich Personal RePEc Archive Analysis of ax effecs on consolidaed household/governmen debs of a naion in a moneary union under classical dichoomy Minseong Kim 8 April 016 Online a hps://mpra.ub.uni-muenchen.de/71016/

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

Distance to default. Credit derivatives provide synthetic protection against bond and loan ( ( )) ( ) Strap? l Cutting edge

Distance to default. Credit derivatives provide synthetic protection against bond and loan ( ( )) ( ) Strap? l Cutting edge Srap? l Cuing edge Disance o defaul Marco Avellaneda and Jingyi Zhu Credi derivaives provide synheic proecion agains bond and loan defauls. A simple example of a credi derivaive is he credi defaul swap,

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

Network Discovery: An Estimation Based Approach

Network Discovery: An Estimation Based Approach Nework Discovery: An Esimaion Based Approach Girish Chowdhary, Magnus Egersed, and Eric N. Johnson Absrac We consider he unaddressed problem of nework discovery, in which, an agen aemps o formulae an esimae

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

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

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

Analysis of Pricing and Efficiency Control Strategy between Internet Retailer and Conventional Retailer

Analysis of Pricing and Efficiency Control Strategy between Internet Retailer and Conventional Retailer Recen Advances in Business Managemen and Markeing Analysis of Pricing and Efficiency Conrol Sraegy beween Inerne Reailer and Convenional Reailer HYUG RAE CHO 1, SUG MOO BAE and JOG HU PARK 3 Deparmen of

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

Life insurance cash flows with policyholder behaviour

Life insurance cash flows with policyholder behaviour Life insurance cash flows wih policyholder behaviour Krisian Buchard,,1 & Thomas Møller, Deparmen of Mahemaical Sciences, Universiy of Copenhagen Universiesparken 5, DK-2100 Copenhagen Ø, Denmark PFA Pension,

More information

Option Pricing Under Stochastic Interest Rates

Option Pricing Under Stochastic Interest Rates I.J. Engineering and Manufacuring, 0,3, 8-89 ublished Online June 0 in MECS (hp://www.mecs-press.ne) DOI: 0.585/ijem.0.03. Available online a hp://www.mecs-press.ne/ijem Opion ricing Under Sochasic Ineres

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

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

Behavior Analysis of a Biscuit Making Plant using Markov Regenerative Modeling

Behavior Analysis of a Biscuit Making Plant using Markov Regenerative Modeling Behavior Analysis of a Biscui Making lan using Markov Regeneraive Modeling arvinder Singh & Aul oyal Deparmen of Mechanical Engineering, Lala Lajpa Rai Insiue of Engineering & Technology, Moga -, India

More information