Differential Equations

Size: px
Start display at page:

Download "Differential Equations"

Transcription

1 Mah 21 (Fall 29) Differenial Equaions Soluion #3 1. Find he paricular soluion of he following differenial equaion by variaion of parameer (a) y + y = csc (b) 2 y + y y = ln, > Soluion: (a) The corresponding homogeneous equaion y +y = has y h () = c 1 sin +c 2 cos as is general soluion, so y 1 = sin, y 1 = cos, y 2 = cos, and y 2 = sin. The Wronskian of y 1 and y 2 is y 1 y 2 W [y 1, y 2 ] = y 1 y 2 = y 1y 2 y 2 y 1 = sin 2 cos 2 = 1 so by variaion of parameer we have cos csc cos v 1 = d = 1 sin d = d sin sin = log(sin ) According, sin csc v 2 = d = 1 y p = sin log(sin ) cos is he desired paricular soluion. (b) The corresponding homogeneous equaion 2 y + y y = is he Cauchy-Euler equaion and {y 1 () =, y 2 () = 1/} is a pair of independen soluion. The Wronskian is y 1 y 2 W [y 1, y 2 ] = y 1 y 2 = ( 1/2 ) (1/) = 2/, > To apply he mehod of variaion parameer, we have o wrie he differenial equaion in he sandard form hen we have v 1 () = v 2 () = y + 1 y 1 2 y = ln, >. y2 () ln W [y 1, y 2 ] d = 1 ln 2 d = 1 2 y1 () ln W [y 1, y 2 ] d = 1 2 ln d = 1 4 ln d ln = 1 (ln )2 4 ln d 2 = ln

2 and v 1 ()y 1 () + v 2 ()y 2 () = 1 4 (ln )2 1 4 ln 1 8. Since 1 8 is a par of he homogeneous soluion, so he required paricular soluion is y p () = 1 4 (ln )2 1 4 ln 2. Le g be a coninue funcion and y be defined by y() = 1 2 sin 2( τ) g(τ)dτ ( ) (a) Apply he Leibniz formula (he generalizaion of he fundamenal heorem of calculus) o show ha he funcion y defined by ( ) saisfies he iniial value problem y + 4y = g(), y() =, y () = (b) Use he variaion of parameers o solve he iniial value problem and show ha he soluion is given by ( ). Soluion : (a) By Leibniz formula we have y () = sin 2( ) d sin 2( τ) g() + g(τ)dτ = 2 d 2 cos 2( τ)g(τ)dτ y d () = cos 2( )g() + cos 2( τ)g(τ)dτ d = g() 2 sin 2( τ)g(τ)dτ = g() 4y() Therefore y saisfies he differenial equaion y +4y = g. I is obvious from he expression of y() and y () ha y() = y () =. (b) Form he homogeneous soluion y h () = c 1 sin 2 + c 2 cos 2 we have y 1 () = sin 2, y 2 () = cos 2, y 1 () = 2 cos 2, y 2 () = 2 sin 2 and he Wronskian W = y 1 y 2 y 2y 1 = 2, hen y 2 (τ)g(τ) v 1 () = W [y 1, y 2 ] dτ = 1 2 v 2 () = y 1 ()g() W [y 1, y 2 ] d = 1 2 cos 2τ g(τ)dτ sin 2τg(τ)dτ 2

3 and he required paricular soluion is y p () = v 1 ()y 1 () + v 2 ()y 2 () = 1 2 = 1 2 (sin 2 cos 2τ cos 2 sin 2τ)g(τ)dτ sin 2( τ)g(τ)dτ Thus he general soluion of he differenial equaion is By Leibniz formula we have y() = c 1 sin 2 + c 2 cos y () = 2c 1 cos 2 2c 2 sin 2 + To deermine he parameers c 1, c 2, we se = hen sin 2( τ)g(τ)dτ cos 2( τ)g(τ)dτ y() = c 2 =, y () = 2c 1 = Therefore he funcion y defined by ( ) is he soluion of he iniial value problem. 3. Find all values of α for which all soluions of approach zero as. Soluion: Subsiuing y = r, we find ha Thus 2 y + αy y = r(r 1) + αr = or r2 + (α 1)r =. r 1 = 1 α + (α 1) and he general soluion is, r 2 = 1 α (α 1) y() = c 1 r 1 + c 2 r 2 In order for soluions o approach zero as i is necessary ha he real pars of r 1 and r 2 be posiive. Suppose ha α > 1, hen (α 1) 2 1 is eiher imaginary or real and less han α 1; hence he real pars of r 1 and r 2 will be negaive. Suppose α = 1, hen r 1, r 2 = ±i 1 and he soluions are oscillaory. Suppose α < 1, hen (α 1) 2 1 is eiher imaginary or real and less han α 1 = 1 α; hence he real pars of r 1 and r 2 will be posiive. Thus, if α < 1 he soluions of he D.E. will approach zero as. 4. Deermine he general soluion of he given differenial equaion ha is valid in any inerval no including he singular poin. 3

4 (a) ( + 1) 2 y + 3( + 1)y +.75y = (b) 2 y + 3y + 5y = (c) 2 y 5y + 9y = Soluion: (a) Assume y = ( + 1) r for + 1 >. Subsiuion of y ino he D. E. yields r(r 1) + 3r = or r2 + 2r = which yields r = 3 2, 1 2. The general soluion of he D.E. is hen y = c 1 x + 1 1/2 + c 2 x + 1 3/2, x 1 (b) If y = r hen r(r 1) + 3r + 5 = or r 2 + 2r + 5 = and r = 1 ± 2i. Thus he general soluion of he D. E. is y() = c 1 1 cos(2 ln ) + c 2 1 sin(2 ln ), (c) Again le y = r o obain r(r 1) 5r + 9 = or (r 3) 2 = and he general soluion is y() = c c 2 3 ln, 5. Find a paricular soluion of y y 6y = e firs by undeermined coefficiens and hen by variaion of parameers. Soluion: The proper paricular soluion should be y p () = Ae, hen subsiuing ino he D.E. we have y p y p 6y p = Ae + Ae 6Ae = 4Ae = e = A = 1 4 We can also guess he paricular soluion by eliminaing he righ hand side; (D 3)(D + 2)(D + 1)y = = y = (c 1 e 3 + c 2 e 2 ) + c 3 e = y h + y p Thus he paricular soluion is y p = c 3 e. Nex, from he homogeneous soluion y h = c 1 y 1 + c 2 y 2 = c 1 e 3 + c 2 e 2 4

5 The Wronskian is W [y 1, y 2 ] = y 1 y 2 y 1 y 2 = e3 ( 2e 2 ) e 2 (3e 3 ) = 5e and v 1 () = v 2 () = Therefore he paricular soluion is y2 ()e W [y 1, y 2 ] d = 1 2 e 4 y1 ()e W [y 1, y 2 ] d = 1 5 e y p () = v 1 ()y 1 () + v 1 ()y 2 () = 1 2 e 4 e e e 2 = 1 4 e 6. Solving he following Cauchy-Euler equaions by using he subsiuion = e x, Y (x) = y() = y(e x ) o change hem o consan coefficien equaion. (a) 2 y + y 9y = (b) 2 y + 3y + y = + 1 (c) 3 y y 5y 15y = 4 Soluion: (a) The chain rule implies he following relaions: and he equaion becomes dy d = dy dx, 2 d2 y d 2 = d2 Y dx 2 dy dx d 2 Y dx 2 dy dx + dy dx 9Y = d2 Y dx 2 9Y = Thus he general soluion of he original equaion is Y (x) = c 1 e 3x + c 2 e 3x = y() = c c 2 3 (b) Same compuaion as (a), he equaion becomes The homogeneous soluion is Y + 2Y + Y = e x + e x Y h (x) = c 1 e x + c 2 xe x By superposiion principle and undeermined coefficiens mehod we compue he paricular soluion Y p = Y 1 + Y 2 separaely; Y 1 + 2Y 1 + Y 1 = e x = Y 1 = 1 4 ex 5

6 Y 2 + 2Y 2 + Y 2 = e x = Y 2 = 1 2 x2 e x Thus he general soluion of he new equaion is Y = c 1 e x + c 2 xe x ex x2 e x Finally, replacing x by ln, we obain a general soluion of he original equaion y() = c c 2 1 ln (ln ) 2 (c) Following he same compuaion as (a) by chain rule we have he 3rd derivaive 3 d3 y = D(D 1)(D 2)Y, d3 D We can ransform he original equaion ino = d dx D(D 1)(D 2)Y = 4D(D 1)Y 5DY 15Y = e 4x From his, by expanding he various operaional producs and hen collecing erms, we find (D 3 + D 2 7D 15)Y = e 4x The auxiliary (characerisic) equaion of his equaion is r 3 + r 2 7r 15 = (r 3)(r 2 + 4r + 5) = Form is roos, r 1 = 3, r 2, r 3 = 2 ± i, we obain he homogeneous soluion Y h (x) = c 1 e 3x + e 2x (c 2 cos x + c 2 sin x) For a paricular soluion we ry Y p (x) = Ae 4x : 64Ae 4x + 16Ae 4x 7(4Ae 4x ) 15(Ae 4x ) = e 4x = A = 1 37 Therefore Y p (x) = 1 37 e4x, and a general soluion is Y (x) = Y h (x) + Y p (x) = c 1 e 3x + e 2x (c 2 cos x + c 3 sin x) e4x Finally, replacing x by ln, we have as a general soluion of he given differenial equaion y() = c 1 e 3 ln + e 2 ln (c 2 cos ln + c 3 sin ln ) + 1 ln e4 37 = c ) (c 2 2 cos(ln ) + c 3 sin(ln ) , 7. Le y 1 be a given nonrivial soluion of he associaed soluion. Find a second linearly independen soluion using reducion of order. 6

7 (a) 2 y 3y + 4y =, y 1 () = 2 (b) y (2 + 1)y + ( + 1)y =, y 1 () = e (c) x 2 y + xy + (x )y =, y 1(x) = x 1/2 sin x, (Bessel equaion) Soluion: (a) To find all soluion from his one, we pu y() = v() 2, y () = v 2 + 2v, y = v 2 + 4v + 2v and subsiue ino he original equaion o obain v 4 + 4v 3 + 2v 2 3v 3 6v 2 + 4v 2 = or v 4 + v 3 = Pu w = v w 4 + w 3 = Assuming for now ha, we ge w + w = The soluion of his separable equaion are w() = C, C an arbirary consan, so we ge v() = w()d = C ln + D Therefore, y() = v() 2 = ( C ln +D ) 2 is he general soluion and y 2 () = 2 ln is he second linearly independen soluion. For convenience, we also apply Theorem 8 (Secion 4.7) o his problem. We rewrie he equaion; y 3 y y = We idenify p() as 3 hen p()d = 3 d = 3 ln and he second independen soluion is e 3 ln y 2 () = y 1 () d = 2 3 y 2 1 d = d = 2 ln (b) We begin by wriing he given equaion in he sandard form y y y = 7

8 Since p() = 2+1, a second linearly independen soluion is given by y 2 = vy 1, where e p()d e 2+ln v() = e 2 d = e 2 d = d = 2 2 This yields y 2 () = v()y 1 () = 2 2 e, so he general soluion is hen y = c 1 e + c 2 2 e (c) Same as (b), we rewrie he original equaion as he sandard form y + 1 ( x y ) 4x 2 y = v(x) = = e p(x)dx y1 2 dx = 1 sin 2 x dx = Thus he second linearly independen soluion is and he general soluion is 1/x (x 1/2 sin x) 2 dx csc 2 xdx = co x = cos x sin x y 2 (x) = v(x)y 1 (x) = x 1/2 cos x y(x) = c 1 x 1/2 cos x + c 2 x 1/2 sin x 8. A weigh of 49g is suspended from a spring of modulus 5 2 g/cm (corresponding o siffness).the coefficien of fricion in he sysem is esimaed o be 1 1 g/(cm/sec). A =, he weigh is pulled down 6 cm from is equilibrium posiion and released from ha poin wih an upward velociy of 2 cm/sec. Find he subsequen displacemen of he weigh as a funcion of ime. When does he weigh pass hrough is equilibrium posiion? Take g = 98cm/sec 2 Soluion: The differenial equaion o be solved is 49 d 2 y 98 d dy 1 d y = or d 2 y d 2 + 2dy d + 5y = The auxiliary (characerisic) equaion os his equaion is r 2 + 2r + 5 =, and is roos are r 1, r 2 = 1 ± 7i. Hence and, differeniaing y = e (c 1 cos 7 + c 2 sin 7) v = dy d = e (c 1 cos 7 + c 2 sin 7) + e ( 7c 1 sin 7 + 7c 2 cos 7) 8

9 Subsiuing he daa y = 6, = ino he equaion for y, we find c 1 = 6 Subsiuing he daa v = 2, = ino he velociy equaion, we find 2 = c 1 + 7c 2, or c 2 = 2 The displacemen of he weigh is hus a damped oscillaion described by he equaion y = e ( 6 cos sin 7), The weigh passes hrough is equilibrium posiion when y =, ha is, when 6 cos sin 7 =, an 7 = 3 Thus = 1 7 Tan 3 + nπ nπ 7 sec 9. The posiion of a cerain spring-mass sysem saisfies he iniial value problem 3 2 y + ky =, y() = 2, y () = v. If he period and ampliude of he resuling moion are observed o be π and 3, respecively, deermine he values of k and v. Soluion: The general soluion is y() = c 1 cos 3 + c 2 sin 3 Subsiuing he iniial condiions ino he equaion yields y() = c 1 = 2, y () = Thus he soluion of he iniial value problem is 3 c 2 = v, c 2 = 3 v The period is The ampliude is A = y() = 2 cos 2π ω = 3 + 2π v2 = 3 v sin = π = k = v2 4 = 3 = v = ±2 5 9

10 1. (Abel formula) If y 1 and y 2 are soluions of he differenial equaion y + p()y + q()y = where p and q are coninuous funcions, hen he Wronskian W [y 1, y 2 ] is given by Abel formula ( W [y 1, y 2 ] = C exp ) p()d (a) Show ha he Wronskian W saisfies he firs order differenial equaion (b) Solve he separable equaion in (a). W + pw = (c) Apply Abel formula o he following differenial equaion Soluion: 2 2 y + 3y y =, >, y 1 = 1/2, y 2 = 1 (a) We sar by noing ha Y 1 and y 2 saisfy y 1 + p()y 1 + q()y 1 = y 2 + p()y 2 + q()y 2 = If we muliply he firs equaion by y 2, muliply he second by y 1, and add he resuling equaions, we obain Nes, we le W = W [y 1, y 2 ] and observe (y 1 y 2 y 1y 2 ) + p()(y 1 y 2 y 1y 2 ) = W = y 1 y 2 y 1y 2 Then we can wrie he previous equaion in he form W + p()w = (b) The firs differenial equaion obained in (a) is separable. ( ) dw = p()d = W = C exp p()d W (c) Direc compuaion shows ha W = 3 2 3/2. On he oher hand, o apply he Abel formula, we mus wrie he differenial equaion in he sandard form so p() = 3/2. Hence W [y 1, y 2 ] = C exp y y y = ( ) 3 2 d = Ce 3 2 ln = C 3/2 This formula gives you he Wronskian of any pair of soluion of he given equaion. For paricular soluions given in his example we mus choose C = 3/2. 1

dt = C exp (3 ln t 4 ). t 4 W = C exp ( ln(4 t) 3) = C(4 t) 3.

dt = C exp (3 ln t 4 ). t 4 W = C exp ( ln(4 t) 3) = C(4 t) 3. Mah Rahman Exam Review Soluions () Consider he IVP: ( 4)y 3y + 4y = ; y(3) = 0, y (3) =. (a) Please deermine he longes inerval for which he IVP is guaraneed o have a unique soluion. Soluion: The disconinuiies

More information

MA 214 Calculus IV (Spring 2016) Section 2. Homework Assignment 1 Solutions

MA 214 Calculus IV (Spring 2016) Section 2. Homework Assignment 1 Solutions MA 14 Calculus IV (Spring 016) Secion Homework Assignmen 1 Soluions 1 Boyce and DiPrima, p 40, Problem 10 (c) Soluion: In sandard form he given firs-order linear ODE is: An inegraing facor is given by

More information

Some Basic Information about M-S-D Systems

Some Basic Information about M-S-D Systems Some Basic Informaion abou M-S-D Sysems 1 Inroducion We wan o give some summary of he facs concerning unforced (homogeneous) and forced (non-homogeneous) models for linear oscillaors governed by second-order,

More information

Section 3.5 Nonhomogeneous Equations; Method of Undetermined Coefficients

Section 3.5 Nonhomogeneous Equations; Method of Undetermined Coefficients Secion 3.5 Nonhomogeneous Equaions; Mehod of Undeermined Coefficiens Key Terms/Ideas: Linear Differenial operaor Nonlinear operaor Second order homogeneous DE Second order nonhomogeneous DE Soluion o homogeneous

More information

Solution to Review Problems for Midterm II

Solution to Review Problems for Midterm II Soluion o Review Problems for Miderm II MATH 3860 001 Correcion: (i) should be y () ( + )y () + ( + )y() = e (1 + ). Given ha () = e is a soluion of y () ( + )y () + ( + )y() = 0. You should do problems

More information

ENGI 9420 Engineering Analysis Assignment 2 Solutions

ENGI 9420 Engineering Analysis Assignment 2 Solutions ENGI 940 Engineering Analysis Assignmen Soluions 0 Fall [Second order ODEs, Laplace ransforms; Secions.0-.09]. Use Laplace ransforms o solve he iniial value problem [0] dy y, y( 0) 4 d + [This was Quesion

More information

ME 391 Mechanical Engineering Analysis

ME 391 Mechanical Engineering Analysis Fall 04 ME 39 Mechanical Engineering Analsis Eam # Soluions Direcions: Open noes (including course web posings). No books, compuers, or phones. An calculaor is fair game. Problem Deermine he posiion of

More information

System of Linear Differential Equations

System of Linear Differential Equations Sysem of Linear Differenial Equaions In "Ordinary Differenial Equaions" we've learned how o solve a differenial equaion for a variable, such as: y'k5$e K2$x =0 solve DE yx = K 5 2 ek2 x C_C1 2$y''C7$y

More information

Chapter 2. First Order Scalar Equations

Chapter 2. First Order Scalar Equations Chaper. Firs Order Scalar Equaions We sar our sudy of differenial equaions in he same way he pioneers in his field did. We show paricular echniques o solve paricular ypes of firs order differenial equaions.

More information

dy dx = xey (a) y(0) = 2 (b) y(1) = 2.5 SOLUTION: See next page

dy dx = xey (a) y(0) = 2 (b) y(1) = 2.5 SOLUTION: See next page Assignmen 1 MATH 2270 SOLUTION Please wrie ou complee soluions for each of he following 6 problems (one more will sill be added). You may, of course, consul wih your classmaes, he exbook or oher resources,

More information

Math Final Exam Solutions

Math Final Exam Solutions Mah 246 - Final Exam Soluions Friday, July h, 204 () Find explici soluions and give he inerval of definiion o he following iniial value problems (a) ( + 2 )y + 2y = e, y(0) = 0 Soluion: In normal form,

More information

Chapter 6. Systems of First Order Linear Differential Equations

Chapter 6. Systems of First Order Linear Differential Equations Chaper 6 Sysems of Firs Order Linear Differenial Equaions We will only discuss firs order sysems However higher order sysems may be made ino firs order sysems by a rick shown below We will have a sligh

More information

Solutions to Assignment 1

Solutions to Assignment 1 MA 2326 Differenial Equaions Insrucor: Peronela Radu Friday, February 8, 203 Soluions o Assignmen. Find he general soluions of he following ODEs: (a) 2 x = an x Soluion: I is a separable equaion as we

More information

t + t sin t t cos t sin t. t cos t sin t dt t 2 = exp 2 log t log(t cos t sin t) = Multiplying by this factor and then integrating, we conclude that

t + t sin t t cos t sin t. t cos t sin t dt t 2 = exp 2 log t log(t cos t sin t) = Multiplying by this factor and then integrating, we conclude that ODEs, Homework #4 Soluions. Check ha y ( = is a soluion of he second-order ODE ( cos sin y + y sin y sin = 0 and hen use his fac o find all soluions of he ODE. When y =, we have y = and also y = 0, so

More information

Two Coupled Oscillators / Normal Modes

Two Coupled Oscillators / Normal Modes Lecure 3 Phys 3750 Two Coupled Oscillaors / Normal Modes Overview and Moivaion: Today we ake a small, bu significan, sep owards wave moion. We will no ye observe waves, bu his sep is imporan in is own

More information

Section 7.4 Modeling Changing Amplitude and Midline

Section 7.4 Modeling Changing Amplitude and Midline 488 Chaper 7 Secion 7.4 Modeling Changing Ampliude and Midline While sinusoidal funcions can model a variey of behaviors, i is ofen necessary o combine sinusoidal funcions wih linear and exponenial curves

More information

u(x) = e x 2 y + 2 ) Integrate and solve for x (1 + x)y + y = cos x Answer: Divide both sides by 1 + x and solve for y. y = x y + cos x

u(x) = e x 2 y + 2 ) Integrate and solve for x (1 + x)y + y = cos x Answer: Divide both sides by 1 + x and solve for y. y = x y + cos x . 1 Mah 211 Homework #3 February 2, 2001 2.4.3. y + (2/x)y = (cos x)/x 2 Answer: Compare y + (2/x) y = (cos x)/x 2 wih y = a(x)x + f(x)and noe ha a(x) = 2/x. Consequenly, an inegraing facor is found wih

More information

Wall. x(t) f(t) x(t = 0) = x 0, t=0. which describes the motion of the mass in absence of any external forcing.

Wall. x(t) f(t) x(t = 0) = x 0, t=0. which describes the motion of the mass in absence of any external forcing. MECHANICS APPLICATIONS OF SECOND-ORDER ODES 7 Mechanics applicaions of second-order ODEs Second-order linear ODEs wih consan coefficiens arise in many physical applicaions. One physical sysems whose behaviour

More information

Math Week 14 April 16-20: sections first order systems of linear differential equations; 7.4 mass-spring systems.

Math Week 14 April 16-20: sections first order systems of linear differential equations; 7.4 mass-spring systems. Mah 2250-004 Week 4 April 6-20 secions 7.-7.3 firs order sysems of linear differenial equaions; 7.4 mass-spring sysems. Mon Apr 6 7.-7.2 Sysems of differenial equaions (7.), and he vecor Calculus we need

More information

Math 334 Fall 2011 Homework 11 Solutions

Math 334 Fall 2011 Homework 11 Solutions Dec. 2, 2 Mah 334 Fall 2 Homework Soluions Basic Problem. Transform he following iniial value problem ino an iniial value problem for a sysem: u + p()u + q() u g(), u() u, u () v. () Soluion. Le v u. Then

More information

Solutions for homework 12

Solutions for homework 12 y Soluions for homework Secion Nonlinear sysems: The linearizaion of a nonlinear sysem Consider he sysem y y y y y (i) Skech he nullclines Use a disincive marking for each nullcline so hey can be disinguished

More information

8. Basic RL and RC Circuits

8. Basic RL and RC Circuits 8. Basic L and C Circuis This chaper deals wih he soluions of he responses of L and C circuis The analysis of C and L circuis leads o a linear differenial equaion This chaper covers he following opics

More information

ODEs II, Lecture 1: Homogeneous Linear Systems - I. Mike Raugh 1. March 8, 2004

ODEs II, Lecture 1: Homogeneous Linear Systems - I. Mike Raugh 1. March 8, 2004 ODEs II, Lecure : Homogeneous Linear Sysems - I Mike Raugh March 8, 4 Inroducion. In he firs lecure we discussed a sysem of linear ODEs for modeling he excreion of lead from he human body, saw how o ransform

More information

KEY. Math 334 Midterm III Winter 2008 section 002 Instructor: Scott Glasgow

KEY. Math 334 Midterm III Winter 2008 section 002 Instructor: Scott Glasgow KEY Mah 334 Miderm III Winer 008 secion 00 Insrucor: Sco Glasgow Please do NOT wrie on his exam. No credi will be given for such work. Raher wrie in a blue book, or on your own paper, preferably engineering

More information

Hamilton- J acobi Equation: Explicit Formulas In this lecture we try to apply the method of characteristics to the Hamilton-Jacobi equation: u t

Hamilton- J acobi Equation: Explicit Formulas In this lecture we try to apply the method of characteristics to the Hamilton-Jacobi equation: u t M ah 5 2 7 Fall 2 0 0 9 L ecure 1 0 O c. 7, 2 0 0 9 Hamilon- J acobi Equaion: Explici Formulas In his lecure we ry o apply he mehod of characerisics o he Hamilon-Jacobi equaion: u + H D u, x = 0 in R n

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

Week 1 Lecture 2 Problems 2, 5. What if something oscillates with no obvious spring? What is ω? (problem set problem)

Week 1 Lecture 2 Problems 2, 5. What if something oscillates with no obvious spring? What is ω? (problem set problem) Week 1 Lecure Problems, 5 Wha if somehing oscillaes wih no obvious spring? Wha is ω? (problem se problem) Sar wih Try and ge o SHM form E. Full beer can in lake, oscillaing F = m & = ge rearrange: F =

More information

Review - Quiz # 1. 1 g(y) dy = f(x) dx. y x. = u, so that y = xu and dy. dx (Sometimes you may want to use the substitution x y

Review - Quiz # 1. 1 g(y) dy = f(x) dx. y x. = u, so that y = xu and dy. dx (Sometimes you may want to use the substitution x y Review - Quiz # 1 (1) Solving Special Tpes of Firs Order Equaions I. Separable Equaions (SE). d = f() g() Mehod of Soluion : 1 g() d = f() (The soluions ma be given implicil b he above formula. Remember,

More information

Math 23 Spring Differential Equations. Final Exam Due Date: Tuesday, June 6, 5pm

Math 23 Spring Differential Equations. Final Exam Due Date: Tuesday, June 6, 5pm Mah Spring 6 Differenial Equaions Final Exam Due Dae: Tuesday, June 6, 5pm Your name (please prin): Insrucions: This is an open book, open noes exam. You are free o use a calculaor or compuer o check your

More information

t is a basis for the solution space to this system, then the matrix having these solutions as columns, t x 1 t, x 2 t,... x n t x 2 t...

t is a basis for the solution space to this system, then the matrix having these solutions as columns, t x 1 t, x 2 t,... x n t x 2 t... Mah 228- Fri Mar 24 5.6 Marix exponenials and linear sysems: The analogy beween firs order sysems of linear differenial equaions (Chaper 5) and scalar linear differenial equaions (Chaper ) is much sronger

More information

1 1 + x 2 dx. tan 1 (2) = ] ] x 3. Solution: Recall that the given integral is improper because. x 3. 1 x 3. dx = lim dx.

1 1 + x 2 dx. tan 1 (2) = ] ] x 3. Solution: Recall that the given integral is improper because. x 3. 1 x 3. dx = lim dx. . Use Simpson s rule wih n 4 o esimae an () +. Soluion: Since we are using 4 seps, 4 Thus we have [ ( ) f() + 4f + f() + 4f 3 [ + 4 4 6 5 + + 4 4 3 + ] 5 [ + 6 6 5 + + 6 3 + ]. 5. Our funcion is f() +.

More information

EXERCISES FOR SECTION 1.5

EXERCISES FOR SECTION 1.5 1.5 Exisence and Uniqueness of Soluions 43 20. 1 v c 21. 1 v c 1 2 4 6 8 10 1 2 2 4 6 8 10 Graph of approximae soluion obained using Euler s mehod wih = 0.1. Graph of approximae soluion obained using Euler

More information

Concourse Math Spring 2012 Worked Examples: Matrix Methods for Solving Systems of 1st Order Linear Differential Equations

Concourse Math Spring 2012 Worked Examples: Matrix Methods for Solving Systems of 1st Order Linear Differential Equations Concourse Mah 80 Spring 0 Worked Examples: Marix Mehods for Solving Sysems of s Order Linear Differenial Equaions The Main Idea: Given a sysem of s order linear differenial equaions d x d Ax wih iniial

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

MA Study Guide #1

MA Study Guide #1 MA 66 Su Guide #1 (1) Special Tpes of Firs Order Equaions I. Firs Order Linear Equaion (FOL): + p() = g() Soluion : = 1 µ() [ ] µ()g() + C, where µ() = e p() II. Separable Equaion (SEP): dx = h(x) g()

More information

1 st order ODE Initial Condition

1 st order ODE Initial Condition Mah-33 Chapers 1-1 s Order ODE Sepember 1, 17 1 1 s order ODE Iniial Condiion f, sandard form LINEAR NON-LINEAR,, p g differenial form M x dx N x d differenial form is equivalen o a pair of differenial

More information

where the coordinate X (t) describes the system motion. X has its origin at the system static equilibrium position (SEP).

where the coordinate X (t) describes the system motion. X has its origin at the system static equilibrium position (SEP). Appendix A: Conservaion of Mechanical Energy = Conservaion of Linear Momenum Consider he moion of a nd order mechanical sysem comprised of he fundamenal mechanical elemens: ineria or mass (M), siffness

More information

Y 0.4Y 0.45Y Y to a proper ARMA specification.

Y 0.4Y 0.45Y Y to a proper ARMA specification. HG Jan 04 ECON 50 Exercises II - 0 Feb 04 (wih answers Exercise. Read secion 8 in lecure noes 3 (LN3 on he common facor problem in ARMA-processes. Consider he following process Y 0.4Y 0.45Y 0.5 ( where

More information

4.6 One Dimensional Kinematics and Integration

4.6 One Dimensional Kinematics and Integration 4.6 One Dimensional Kinemaics and Inegraion When he acceleraion a( of an objec is a non-consan funcion of ime, we would like o deermine he ime dependence of he posiion funcion x( and he x -componen of

More information

Undetermined coefficients for local fractional differential equations

Undetermined coefficients for local fractional differential equations Available online a www.isr-publicaions.com/jmcs J. Mah. Compuer Sci. 16 (2016), 140 146 Research Aricle Undeermined coefficiens for local fracional differenial equaions Roshdi Khalil a,, Mohammed Al Horani

More information

MEI Mechanics 1 General motion. Section 1: Using calculus

MEI Mechanics 1 General motion. Section 1: Using calculus Soluions o Exercise MEI Mechanics General moion Secion : Using calculus. s 4 v a 6 4 4 When =, v 4 a 6 4 6. (i) When = 0, s = -, so he iniial displacemen = - m. s v 4 When = 0, v = so he iniial velociy

More information

23.2. Representing Periodic Functions by Fourier Series. Introduction. Prerequisites. Learning Outcomes

23.2. Representing Periodic Functions by Fourier Series. Introduction. Prerequisites. Learning Outcomes Represening Periodic Funcions by Fourier Series 3. Inroducion In his Secion we show how a periodic funcion can be expressed as a series of sines and cosines. We begin by obaining some sandard inegrals

More information

d 1 = c 1 b 2 - b 1 c 2 d 2 = c 1 b 3 - b 1 c 3

d 1 = c 1 b 2 - b 1 c 2 d 2 = c 1 b 3 - b 1 c 3 and d = c b - b c c d = c b - b c c This process is coninued unil he nh row has been compleed. The complee array of coefficiens is riangular. Noe ha in developing he array an enire row may be divided or

More information

HOMEWORK # 2: MATH 211, SPRING Note: This is the last solution set where I will describe the MATLAB I used to make my pictures.

HOMEWORK # 2: MATH 211, SPRING Note: This is the last solution set where I will describe the MATLAB I used to make my pictures. HOMEWORK # 2: MATH 2, SPRING 25 TJ HITCHMAN Noe: This is he las soluion se where I will describe he MATLAB I used o make my picures.. Exercises from he ex.. Chaper 2.. Problem 6. We are o show ha y() =

More information

( ) 2. Review Exercise 2. cos θ 2 3 = = 2 tan. cos. 2 x = = x a. Since π π, = 2. sin = = 2+ = = cotx. 2 sin θ 2+

( ) 2. Review Exercise 2. cos θ 2 3 = = 2 tan. cos. 2 x = = x a. Since π π, = 2. sin = = 2+ = = cotx. 2 sin θ 2+ Review Eercise sin 5 cos sin an cos 5 5 an 5 9 co 0 a sinθ 6 + 4 6 + sin θ 4 6+ + 6 + 4 cos θ sin θ + 4 4 sin θ + an θ cos θ ( ) + + + + Since π π, < θ < anθ should be negaive. anθ ( + ) Pearson Educaion

More information

Oscillation of an Euler Cauchy Dynamic Equation S. Huff, G. Olumolode, N. Pennington, and A. Peterson

Oscillation of an Euler Cauchy Dynamic Equation S. Huff, G. Olumolode, N. Pennington, and A. Peterson PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON DYNAMICAL SYSTEMS AND DIFFERENTIAL EQUATIONS May 4 7, 00, Wilmingon, NC, USA pp 0 Oscillaion of an Euler Cauchy Dynamic Equaion S Huff, G Olumolode,

More information

Section 3.8, Mechanical and Electrical Vibrations

Section 3.8, Mechanical and Electrical Vibrations Secion 3.8, Mechanical and Elecrical Vibraions Mechanical Unis in he U.S. Cusomary and Meric Sysems Disance Mass Time Force g (Earh) Uni U.S. Cusomary MKS Sysem CGS Sysem fee f slugs seconds sec pounds

More information

Math 2214 Sol Test 2B Spring 2015

Math 2214 Sol Test 2B Spring 2015 Mah 14 Sol Tes B Sring 015 roblem 1: An objec weighing ounds sreches a verical sring 8 fee beond i naural lengh before coming o res a equilibrium The objec is ushed u 6 fee from i s equilibrium osiion

More information

Theory of! Partial Differential Equations!

Theory of! Partial Differential Equations! hp://www.nd.edu/~gryggva/cfd-course/! Ouline! Theory o! Parial Dierenial Equaions! Gréar Tryggvason! Spring 011! Basic Properies o PDE!! Quasi-linear Firs Order Equaions! - Characerisics! - Linear and

More information

Challenge Problems. DIS 203 and 210. March 6, (e 2) k. k(k + 2). k=1. f(x) = k(k + 2) = 1 x k

Challenge Problems. DIS 203 and 210. March 6, (e 2) k. k(k + 2). k=1. f(x) = k(k + 2) = 1 x k Challenge Problems DIS 03 and 0 March 6, 05 Choose one of he following problems, and work on i in your group. Your goal is o convince me ha your answer is correc. Even if your answer isn compleely correc,

More information

ln 2 1 ln y x c y C x

ln 2 1 ln y x c y C x Lecure 14 Appendi B: Some sample problems from Boas Here are some soluions o he sample problems assigned for Chaper 8 8: 6 Soluion: We wan o find he soluion o he following firs order equaion using separaion

More information

KEY. Math 334 Midterm III Fall 2008 sections 001 and 003 Instructor: Scott Glasgow

KEY. Math 334 Midterm III Fall 2008 sections 001 and 003 Instructor: Scott Glasgow KEY Mah 334 Miderm III Fall 28 secions and 3 Insrucor: Sco Glasgow Please do NOT wrie on his exam. No credi will be given for such work. Raher wrie in a blue book, or on your own paper, preferably engineering

More information

Math 2142 Exam 1 Review Problems. x 2 + f (0) 3! for the 3rd Taylor polynomial at x = 0. To calculate the various quantities:

Math 2142 Exam 1 Review Problems. x 2 + f (0) 3! for the 3rd Taylor polynomial at x = 0. To calculate the various quantities: Mah 4 Eam Review Problems Problem. Calculae he 3rd Taylor polynomial for arcsin a =. Soluion. Le f() = arcsin. For his problem, we use he formula f() + f () + f ()! + f () 3! for he 3rd Taylor polynomial

More information

After the completion of this section the student. Theory of Linear Systems of ODEs. Autonomous Systems. Review Questions and Exercises

After the completion of this section the student. Theory of Linear Systems of ODEs. Autonomous Systems. Review Questions and Exercises Chaper V ODE V.5 Sysems of Ordinary Differenial Equaions 45 V.5 SYSTEMS OF FIRST ORDER LINEAR ODEs Objecives: Afer he compleion of his secion he suden - should recall he definiion of a sysem of linear

More information

Solutions of Sample Problems for Third In-Class Exam Math 246, Spring 2011, Professor David Levermore

Solutions of Sample Problems for Third In-Class Exam Math 246, Spring 2011, Professor David Levermore Soluions of Sample Problems for Third In-Class Exam Mah 6, Spring, Professor David Levermore Compue he Laplace ransform of f e from is definiion Soluion The definiion of he Laplace ransform gives L[f]s

More information

Math 10B: Mock Mid II. April 13, 2016

Math 10B: Mock Mid II. April 13, 2016 Name: Soluions Mah 10B: Mock Mid II April 13, 016 1. ( poins) Sae, wih jusificaion, wheher he following saemens are rue or false. (a) If a 3 3 marix A saisfies A 3 A = 0, hen i canno be inverible. True.

More information

Predator - Prey Model Trajectories and the nonlinear conservation law

Predator - Prey Model Trajectories and the nonlinear conservation law Predaor - Prey Model Trajecories and he nonlinear conservaion law James K. Peerson Deparmen of Biological Sciences and Deparmen of Mahemaical Sciences Clemson Universiy Ocober 28, 213 Ouline Drawing Trajecories

More information

THE WAVE EQUATION. part hand-in for week 9 b. Any dilation v(x, t) = u(λx, λt) of u(x, t) is also a solution (where λ is constant).

THE WAVE EQUATION. part hand-in for week 9 b. Any dilation v(x, t) = u(λx, λt) of u(x, t) is also a solution (where λ is constant). THE WAVE EQUATION 43. (S) Le u(x, ) be a soluion of he wave equaion u u xx = 0. Show ha Q43(a) (c) is a. Any ranslaion v(x, ) = u(x + x 0, + 0 ) of u(x, ) is also a soluion (where x 0, 0 are consans).

More information

6.2 Transforms of Derivatives and Integrals.

6.2 Transforms of Derivatives and Integrals. SEC. 6.2 Transforms of Derivaives and Inegrals. ODEs 2 3 33 39 23. Change of scale. If l( f ()) F(s) and c is any 33 45 APPLICATION OF s-shifting posiive consan, show ha l( f (c)) F(s>c)>c (Hin: In Probs.

More information

MATH 128A, SUMMER 2009, FINAL EXAM SOLUTION

MATH 128A, SUMMER 2009, FINAL EXAM SOLUTION MATH 28A, SUMME 2009, FINAL EXAM SOLUTION BENJAMIN JOHNSON () (8 poins) [Lagrange Inerpolaion] (a) (4 poins) Le f be a funcion defined a some real numbers x 0,..., x n. Give a defining equaion for he Lagrange

More information

Theory of! Partial Differential Equations-I!

Theory of! Partial Differential Equations-I! hp://users.wpi.edu/~grear/me61.hml! Ouline! Theory o! Parial Dierenial Equaions-I! Gréar Tryggvason! Spring 010! Basic Properies o PDE!! Quasi-linear Firs Order Equaions! - Characerisics! - Linear and

More information

Math 333 Problem Set #2 Solution 14 February 2003

Math 333 Problem Set #2 Solution 14 February 2003 Mah 333 Problem Se #2 Soluion 14 February 2003 A1. Solve he iniial value problem dy dx = x2 + e 3x ; 2y 4 y(0) = 1. Soluion: This is separable; we wrie 2y 4 dy = x 2 + e x dx and inegrae o ge The iniial

More information

Second-Order Differential Equations

Second-Order Differential Equations WWW Problems and Soluions 3.1 Chaper 3 Second-Order Differenial Equaions Secion 3.1 Springs: Linear and Nonlinear Models www m Problem 3. (NonlinearSprings). A bod of mass m is aached o a wall b means

More information

15. Vector Valued Functions

15. Vector Valued Functions 1. Vecor Valued Funcions Up o his poin, we have presened vecors wih consan componens, for example, 1, and,,4. However, we can allow he componens of a vecor o be funcions of a common variable. For example,

More information

Lecture 13 RC/RL Circuits, Time Dependent Op Amp Circuits

Lecture 13 RC/RL Circuits, Time Dependent Op Amp Circuits Lecure 13 RC/RL Circuis, Time Dependen Op Amp Circuis RL Circuis The seps involved in solving simple circuis conaining dc sources, resisances, and one energy-sorage elemen (inducance or capaciance) are:

More information

Ordinary Differential Equations

Ordinary Differential Equations Ordinary Differenial Equaions 5. Examples of linear differenial equaions and heir applicaions We consider some examples of sysems of linear differenial equaions wih consan coefficiens y = a y +... + a

More information

Structural Dynamics and Earthquake Engineering

Structural Dynamics and Earthquake Engineering Srucural Dynamics and Earhquae Engineering Course 1 Inroducion. Single degree of freedom sysems: Equaions of moion, problem saemen, soluion mehods. Course noes are available for download a hp://www.c.up.ro/users/aurelsraan/

More information

LAPLACE TRANSFORM AND TRANSFER FUNCTION

LAPLACE TRANSFORM AND TRANSFER FUNCTION CHBE320 LECTURE V LAPLACE TRANSFORM AND TRANSFER FUNCTION Professor Dae Ryook Yang Spring 2018 Dep. of Chemical and Biological Engineering 5-1 Road Map of he Lecure V Laplace Transform and Transfer funcions

More information

WEEK-3 Recitation PHYS 131. of the projectile s velocity remains constant throughout the motion, since the acceleration a x

WEEK-3 Recitation PHYS 131. of the projectile s velocity remains constant throughout the motion, since the acceleration a x WEEK-3 Reciaion PHYS 131 Ch. 3: FOC 1, 3, 4, 6, 14. Problems 9, 37, 41 & 71 and Ch. 4: FOC 1, 3, 5, 8. Problems 3, 5 & 16. Feb 8, 018 Ch. 3: FOC 1, 3, 4, 6, 14. 1. (a) The horizonal componen of he projecile

More information

Traveling Waves. Chapter Introduction

Traveling Waves. Chapter Introduction Chaper 4 Traveling Waves 4.1 Inroducion To dae, we have considered oscillaions, i.e., periodic, ofen harmonic, variaions of a physical characerisic of a sysem. The sysem a one ime is indisinguishable from

More information

ADVANCED MATHEMATICS FOR ECONOMICS /2013 Sheet 3: Di erential equations

ADVANCED MATHEMATICS FOR ECONOMICS /2013 Sheet 3: Di erential equations ADVANCED MATHEMATICS FOR ECONOMICS - /3 Shee 3: Di erenial equaions Check ha x() =± p ln(c( + )), where C is a posiive consan, is soluion of he ODE x () = Solve he following di erenial equaions: (a) x

More information

Exam 1 Solutions. 1 Question 1. February 10, Part (A) 1.2 Part (B) To find equilibrium solutions, set P (t) = C = dp

Exam 1 Solutions. 1 Question 1. February 10, Part (A) 1.2 Part (B) To find equilibrium solutions, set P (t) = C = dp Exam Soluions Februar 0, 05 Quesion. Par (A) To find equilibrium soluions, se P () = C = = 0. This implies: = P ( P ) P = P P P = P P = P ( + P ) = 0 The equilibrium soluion are hus P () = 0 and P () =..

More information

Math 2214 Solution Test 1A Spring 2016

Math 2214 Solution Test 1A Spring 2016 Mah 14 Soluion Tes 1A Spring 016 sec Problem 1: Wha is he larges -inerval for which ( 4) = has a guaraneed + unique soluion for iniial value (-1) = 3 according o he Exisence Uniqueness Theorem? Soluion

More information

Physics 235 Chapter 2. Chapter 2 Newtonian Mechanics Single Particle

Physics 235 Chapter 2. Chapter 2 Newtonian Mechanics Single Particle Chaper 2 Newonian Mechanics Single Paricle In his Chaper we will review wha Newon s laws of mechanics ell us abou he moion of a single paricle. Newon s laws are only valid in suiable reference frames,

More information

Chapter #1 EEE8013 EEE3001. Linear Controller Design and State Space Analysis

Chapter #1 EEE8013 EEE3001. Linear Controller Design and State Space Analysis Chaper EEE83 EEE3 Chaper # EEE83 EEE3 Linear Conroller Design and Sae Space Analysis Ordinary Differenial Equaions.... Inroducion.... Firs Order ODEs... 3. Second Order ODEs... 7 3. General Maerial...

More information

Math 36. Rumbos Spring Solutions to Assignment #6. 1. Suppose the growth of a population is governed by the differential equation.

Math 36. Rumbos Spring Solutions to Assignment #6. 1. Suppose the growth of a population is governed by the differential equation. Mah 36. Rumbos Spring 1 1 Soluions o Assignmen #6 1. Suppose he growh of a populaion is governed by he differenial equaion where k is a posiive consan. d d = k (a Explain why his model predics ha he populaion

More information

Let ( α, β be the eigenvector associated with the eigenvalue λ i

Let ( α, β be the eigenvector associated with the eigenvalue λ i ENGI 940 4.05 - Sabiliy Analysis (Linear) Page 4.5 Le ( α, be he eigenvecor associaed wih he eigenvalue λ i of he coefficien i i) marix A Le c, c be arbirary consans. a b c d Case of real, disinc, negaive

More information

Solutions from Chapter 9.1 and 9.2

Solutions from Chapter 9.1 and 9.2 Soluions from Chaper 9 and 92 Secion 9 Problem # This basically boils down o an exercise in he chain rule from calculus We are looking for soluions of he form: u( x) = f( k x c) where k x R 3 and k is

More information

Math 2214 Solution Test 1B Fall 2017

Math 2214 Solution Test 1B Fall 2017 Mah 14 Soluion Tes 1B Fall 017 Problem 1: A ank has a capaci for 500 gallons and conains 0 gallons of waer wih lbs of sal iniiall. A soluion conaining of 8 lbsgal of sal is pumped ino he ank a 10 galsmin.

More information

Robotics I. April 11, The kinematics of a 3R spatial robot is specified by the Denavit-Hartenberg parameters in Tab. 1.

Robotics I. April 11, The kinematics of a 3R spatial robot is specified by the Denavit-Hartenberg parameters in Tab. 1. Roboics I April 11, 017 Exercise 1 he kinemaics of a 3R spaial robo is specified by he Denavi-Harenberg parameers in ab 1 i α i d i a i θ i 1 π/ L 1 0 1 0 0 L 3 0 0 L 3 3 able 1: able of DH parameers of

More information

Stability and Bifurcation in a Neural Network Model with Two Delays

Stability and Bifurcation in a Neural Network Model with Two Delays Inernaional Mahemaical Forum, Vol. 6, 11, no. 35, 175-1731 Sabiliy and Bifurcaion in a Neural Nework Model wih Two Delays GuangPing Hu and XiaoLing Li School of Mahemaics and Physics, Nanjing Universiy

More information

MTH Feburary 2012 Final term PAPER SOLVED TODAY s Paper

MTH Feburary 2012 Final term PAPER SOLVED TODAY s Paper MTH401 7 Feburary 01 Final erm PAPER SOLVED TODAY s Paper Toal Quesion: 5 Mcqz: 40 Subjecive quesion: 1 4 q of 5 marks 4 q of 3 marks 4 q of marks Guidelines: Prepare his file as I included all pas papers

More information

Electrical Circuits. 1. Circuit Laws. Tools Used in Lab 13 Series Circuits Damped Vibrations: Energy Van der Pol Circuit

Electrical Circuits. 1. Circuit Laws. Tools Used in Lab 13 Series Circuits Damped Vibrations: Energy Van der Pol Circuit V() R L C 513 Elecrical Circuis Tools Used in Lab 13 Series Circuis Damped Vibraions: Energy Van der Pol Circui A series circui wih an inducor, resisor, and capacior can be represened by Lq + Rq + 1, a

More information

Simulation-Solving Dynamic Models ABE 5646 Week 2, Spring 2010

Simulation-Solving Dynamic Models ABE 5646 Week 2, Spring 2010 Simulaion-Solving Dynamic Models ABE 5646 Week 2, Spring 2010 Week Descripion Reading Maerial 2 Compuer Simulaion of Dynamic Models Finie Difference, coninuous saes, discree ime Simple Mehods Euler Trapezoid

More information

= ( ) ) or a system of differential equations with continuous parametrization (T = R

= ( ) ) or a system of differential equations with continuous parametrization (T = R XIII. DIFFERENCE AND DIFFERENTIAL EQUATIONS Ofen funcions, or a sysem of funcion, are paramerized in erms of some variable, usually denoed as and inerpreed as ime. The variable is wrien as a funcion of

More information

Lecture 23 Damped Motion

Lecture 23 Damped Motion Differenial Equaions (MTH40) Lecure Daped Moion In he previous lecure, we discussed he free haronic oion ha assues no rearding forces acing on he oving ass. However No rearding forces acing on he oving

More information

The Asymptotic Behavior of Nonoscillatory Solutions of Some Nonlinear Dynamic Equations on Time Scales

The Asymptotic Behavior of Nonoscillatory Solutions of Some Nonlinear Dynamic Equations on Time Scales Advances in Dynamical Sysems and Applicaions. ISSN 0973-5321 Volume 1 Number 1 (2006, pp. 103 112 c Research India Publicaions hp://www.ripublicaion.com/adsa.hm The Asympoic Behavior of Nonoscillaory Soluions

More information

( ) a system of differential equations with continuous parametrization ( T = R + These look like, respectively:

( ) a system of differential equations with continuous parametrization ( T = R + These look like, respectively: XIII. DIFFERENCE AND DIFFERENTIAL EQUATIONS Ofen funcions, or a sysem of funcion, are paramerized in erms of some variable, usually denoed as and inerpreed as ime. The variable is wrien as a funcion of

More information

6.003 Homework #9 Solutions

6.003 Homework #9 Solutions 6.003 Homework #9 Soluions Problems. Fourier varieies a. Deermine he Fourier series coefficiens of he following signal, which is periodic in 0. x () 0 3 0 a 0 5 a k a k 0 πk j3 e 0 e j πk 0 jπk πk e 0

More information

L p -L q -Time decay estimate for solution of the Cauchy problem for hyperbolic partial differential equations of linear thermoelasticity

L p -L q -Time decay estimate for solution of the Cauchy problem for hyperbolic partial differential equations of linear thermoelasticity ANNALES POLONICI MATHEMATICI LIV.2 99) L p -L q -Time decay esimae for soluion of he Cauchy problem for hyperbolic parial differenial equaions of linear hermoelasiciy by Jerzy Gawinecki Warszawa) Absrac.

More information

A. Using Newton s second law in one dimension, F net. , write down the differential equation that governs the motion of the block.

A. Using Newton s second law in one dimension, F net. , write down the differential equation that governs the motion of the block. Simple SIMPLE harmonic HARMONIC moion MOTION I. Differenial equaion of moion A block is conneced o a spring, one end of which is aached o a wall. (Neglec he mass of he spring, and assume he surface is

More information

Week #13 - Integration by Parts & Numerical Integration Section 7.2

Week #13 - Integration by Parts & Numerical Integration Section 7.2 Week #3 - Inegraion by Pars & Numerical Inegraion Secion 7. From Calculus, Single Variable by Hughes-Halle, Gleason, McCallum e. al. Copyrigh 5 by John Wiley & Sons, Inc. This maerial is used by permission

More information

Announcements: Warm-up Exercise:

Announcements: Warm-up Exercise: Fri Apr 13 7.1 Sysems of differenial equaions - o model muli-componen sysems via comparmenal analysis hp//en.wikipedia.org/wiki/muli-comparmen_model Announcemens Warm-up Exercise Here's a relaively simple

More information

KEY. Math 334 Midterm I Fall 2008 sections 001 and 003 Instructor: Scott Glasgow

KEY. Math 334 Midterm I Fall 2008 sections 001 and 003 Instructor: Scott Glasgow 1 KEY Mah 4 Miderm I Fall 8 secions 1 and Insrucor: Sco Glasgow Please do NOT wrie on his eam. No credi will be given for such work. Raher wrie in a blue book, or on our own paper, preferabl engineering

More information

Voltage/current relationship Stored Energy. RL / RC circuits Steady State / Transient response Natural / Step response

Voltage/current relationship Stored Energy. RL / RC circuits Steady State / Transient response Natural / Step response Review Capaciors/Inducors Volage/curren relaionship Sored Energy s Order Circuis RL / RC circuis Seady Sae / Transien response Naural / Sep response EE4 Summer 5: Lecure 5 Insrucor: Ocavian Florescu Lecure

More information

SMT 2014 Calculus Test Solutions February 15, 2014 = 3 5 = 15.

SMT 2014 Calculus Test Solutions February 15, 2014 = 3 5 = 15. SMT Calculus Tes Soluions February 5,. Le f() = and le g() =. Compue f ()g (). Answer: 5 Soluion: We noe ha f () = and g () = 6. Then f ()g () =. Plugging in = we ge f ()g () = 6 = 3 5 = 5.. There is a

More information

Boyce/DiPrima/Meade 11 th ed, Ch 3.1: 2 nd Order Linear Homogeneous Equations-Constant Coefficients

Boyce/DiPrima/Meade 11 th ed, Ch 3.1: 2 nd Order Linear Homogeneous Equations-Constant Coefficients Boce/DiPrima/Meade h ed, Ch 3.: nd Order Linear Homogeneous Equaions-Consan Coefficiens Elemenar Differenial Equaions and Boundar Value Problems, h ediion, b William E. Boce, Richard C. DiPrima, and Doug

More information

10. State Space Methods

10. State Space Methods . Sae Space Mehods. Inroducion Sae space modelling was briefly inroduced in chaper. Here more coverage is provided of sae space mehods before some of heir uses in conrol sysem design are covered in he

More information

Class Meeting # 10: Introduction to the Wave Equation

Class Meeting # 10: Introduction to the Wave Equation MATH 8.5 COURSE NOTES - CLASS MEETING # 0 8.5 Inroducion o PDEs, Fall 0 Professor: Jared Speck Class Meeing # 0: Inroducion o he Wave Equaion. Wha is he wave equaion? The sandard wave equaion for a funcion

More information

Ordinary Differential Equations

Ordinary Differential Equations Lecure 22 Ordinary Differenial Equaions Course Coordinaor: Dr. Suresh A. Karha, Associae Professor, Deparmen of Civil Engineering, IIT Guwahai. In naure, mos of he phenomena ha can be mahemaically described

More information