SlideShare ist ein Scribd-Unternehmen logo
1 von 6
Downloaden Sie, um offline zu lesen
Solutions to the Final exam of Winter 2009
                   Applied Ordinary Differential Equations
                                  ENGR 213

(1) (a) This is a separable equation which can be re-written in the form
                                      dy          dx
                                             =           .
                                   (2y + 3)2   (4x + 5)2
        To integrate the left hand side, use the substitution u = 2y + 3, thus du = 2dy,
        while, for the right hand side, use w = 4x + 5, dw = 4dx. Therefore,
                     dy        1      1          1           1
                           2
                             =          2
                                          du = − + c = −           + c,
                  (2y + 3)     2      u         2u       2(2y + 3)
                     dy       1     1           1             1
                          2
                            =        2
                                       dw = −      +c =−            +c.
                 (4x + 5)     4    w           4w         4(4x + 5)
        Using a single constant C to replace the difference c − c, we have the general
        solution of the equation in implicit form:
                                  1             1
                                         =           + C.
                              2(2y + 3)    4(4x + 5)

    (b) This ODE is linear, hence we shall first put it in its standard form (we’ll solve it
        for x > 0):

                                  dy 1         1
                                      + y = ex .
                                  dx x         x
                                       x
        Thus P (x) = 1/x and Q(x) = e /x and we look for an integrating factor (hence in
        the following we choose the constant of integration zero)
                                           1
                                               dx
                               µ(x) = e    x        = eln x = x.
        We multiply the equation with µ to obtain xy + y = ex or (xy) = ex . Integrating
        both sides, we obtain
                                                   ex C
          xy = ex + C, C = constant, ⇒ y(x) =         + , C = constant,
                                                    x    x
        the general solution in explicit form.
        We now make use of the initial condition y(1) = 2 to determine the constant:
                                                                   ex 2 − e
              y(1) = e + C = 2 ⇒ C = 2 − e ⇒ y(x) =                  +      .
                                                                   x    x

(2) By denoting M (x, y) = y 2 cos x − 3x2 y − 2x, N (x, y) = 2y sin x − x3 + ln y, we check
    that
                        ∂M            ∂N
                            (x, y) =     (x, y) = 2y cos x − 3x2
                         ∂y           ∂x
    hence the equation is exact.
                                               1
2

         We therefore start to look for a function f (x, y) whose partial derivatives with respect
       to x, respectively y, are M and respectively N . We do so by integrating M (x, y) with
       respect to x:

                            f (x, y) = y 2 sin x − x3 y − x2 + C(y).
       We then differentiate f with respect to y and, setting the result equal to N , obtain
                                   2y sin x − x3 + C (y) = ln y.

          Thus C(y) is an antiderivative of ln y. We can find it by integration by parts (u =
       ln y, dv = dy):

               C(y) =      ln y dy = y ln y −   1 dy = y ln y − y + c, c = constant.

         Hence f (x, y) = y 2 sin x − x3 y − x2 + y ln y − y + c and the solution to the ODE (in
       implicit form) is

                    y 2 sin x − x3 y − x2 + y ln y − y + c = 0, c = constant.

                                                                dy   du
    (3) We’ll use the substitution u = x + y ⇒ y = u − x, then     =    − 1. Therefore, the
                                                                dx   dx
        substitution leads to the related ODE
                             du                  du
                                − 1 = tan2 u ⇔      = 1 + tan2 u.
                             dx                  dx
                       sin u                             sin2 u + cos2 u     1
          As tan u =         , we note that 1 + tan2 u =          2u
                                                                         =        . Then
                       cos u                                  cos          cos2 u
                               du       1
                                   =      2u
                                               ⇒ cos2 u du = dx
                               dx     cos
                               1 + cos(2u)                     u    sin(2u)
         whose solution is                   du = x + c ⇒         +         = x + c, thus the
                                     2                         2       4
       general solution of the original ODE (in implicit form) is
                          x + y sin(2(x + y))
                               +              = x + c, c = constant.
                            2         4

    (4) For the first 4 seconds, the velocity is constant (equal to 100 m/sec), then the velocity
        is a solution of the ODE
                                          dV
                                             = −0.002V 2 .
                                          dt
           This ODE has the solution
                                    1
                                 − = −0.002t + c, V (0) = 100
                                    V
           or
                                  1                   1
                    V (t) =                 ⇒                 = 20 ⇒ t = 20.
                            0.002t + 0.01       0.002t + 0.01
3

        We must not forget to add the 4 seconds when the velocity remained constant, hence
      the final answer is that the velocity reaches 20 m/sec after 24 sec.

   (5) (a) First, using r2 +6r +8 = 0 ⇔ r = −4 or r = −2, we find that the complementary
           part of the general solution is yc (x) = c1 e−4x + c2 e−2x .
           Having no duplication between yc and sin(3x), we set up yp as
yp (x) = A sin(3x)+B cos(3x) ⇒ yp (x) = 3A cos(3x)−3B sin(3x) ⇒ yp (x) = −9A sin(3x)−9B cos(3x).
              Substituting these into the nonhomogenous ODE, we obtain

−9A sin(3x) − 9B cos(3x) + 6(3A cos(3x) − 3B sin(3x)) + 8(A sin(3x) + B cos(3x)) = sin(3x),
              or −A − 18B = 1, 18A − B = 0 which implies A = −1/325 and B = −18/325.
              Thus the general solution of the ODE is
                                          1            18
              y(x) = c1 e−4x + c2 e−2x −     sin(3x) −     cos(3x), c1,2 = constants.
                                         325           325
       (b) We start again with the characteristic equation of the associated homogenous ODE,
           r2 +10r+25 = 0. This equation has 5 as a double root, hence yc (x) = c1 e5x +c2 xe5x .
           Yet, there is no duplication between yc and ex so we may take yp (x) = Aex =
           yp (x) = yp (x). In conclusion, 36Aex = ex , so A = 1/36 and
           the general solution of the ODE is
                                                   1 x
                        y(x) = c1 e5x + c2 xe5x +    e , c1,2 = constants.
                                                  36

   (6) This is a non-homogeneous Cauchy-Euler equation. Consider first the homogeneous
       Cauchy-Euler DE: 2x2 y + 5xy + y = 0. Its characteristic equation is 2m(m − 1) +
       5m + 1 = 0 or 2m2 + 3m + 1 = 0. Its roots are −1 and −1/2, hence (solving the ODE
       on (0, ∞))
                                    1      1
                         yc (x) = c1 + c2 √ , c1,2 = constants.
                                    x       x

         By choosing, y1 (x) = x−1 and y2 (x) = x−1/2 , we can form the Wronskian W (x) and
      proceed to find a particular solution of the non-homogeneous equation given by using
      the variation of parameters. However, in order to apply the variation of parameters and
      identify correctly the function f needed for W1 and W2 below, we must use the standard
      form of the equation: y + P (x)y + Q(x) = f (x), thus divide the non-homogeneous
      Cauchy-Euler equation by 2x2 to obtain
                                       5      1       1    1
                                y +      y + 2y= − .
                                      2x     2x       2 2x

               x−1    x−1/2          1 −5/2                       0     x−1/2         1       1
W (x) = det                      =     x    , W1 (x) = det                         = − x−1/2 + x−3/2
               −x −2
                     − 1 x−3/2
                       2             2                        1
                                                              2
                                                                     1   1
                                                                  − 2x − 2 x−3/2      2       2
                                        x−1        0          1 −1 1 −2
                        W2 (x) = det           1      1   =     x − x ,
                                        −x−2   2
                                                   − 2x       2    2
4


                             W1                   W2
                          u1 =    = −x2 + x, u2 =    = x3/2 − x1/2 .
                              W                   W
          The simplest antiderivatives are
                                          x3 x2     2      2
                               u1 = −       + , u2 = x5/2 − x3/2 .
                                          3  2      5      3
          Thus
                                   x3 x2                  2 5/2 2 3/2            x2 x
                  yp (x) = x−1 −     +          + x−1/2     x − x            =     − ,
                                   3   2                  5     3                15 6
          and

                                          1       1  x2 x
                      ygeneral (x) = c1     + c2 √ +   − , c1,2 = constants.
                                          x        x 15 6

    (7) We’ll use the method of systematic elimination, hence, using D for the differentiation
        with respect to t, we’ll write the system as
                      Dx = 2x + 3y − e2t ,                (D − 2)x − 3y      = −e2t ,
                                                  or
                      Dy = −x − 2y + e2t                  x + (D + 2)y       = e2t .
          Through symbolic computation, we obtain

     (D − 2)(D + 2)x − 3(D + 2)y           = −(D + 2)e2t         (D2 − 4)x − 3(D + 2)y    = −4e2t
                                                         ⇒
     3x + 3(D + 2)y                        = 3e2t                3x + 3(D + 2)y           = 3e2t .

         Above, we used that (D + 2)e2t = (e2t ) + 2e2t = 4e2t . Adding the two equations, we
       obtain
                          (D2 − 1)x = −e2t ⇔ x − 1 = −e2t .
          We solve first this non-homogeneous ODE. It’s easy to see that
                               xc (t) = c1 et + c2 e−t , c1,2 = constants.
          For the particular solution, we use the method of undetermined coefficients by setting
       xp (t) = Ae2t ⇒ xp (t) = 2Ae2t , xp (t) = 4Ae2t , thus 3A = −1 and
                          1                             1
                xp (t) = − e2t ⇒ x(t) = c1 et + c2 e−t − e2t , c1,2 = constants.
                          3                             3
          To find y(t) we go back to the first equation of the system and note that
                              1                     c1            1
                         y = (x − 2x + e2t ) = − et − c2 e−t + e2t .
                              3                     3             3
          In conclusion, the general solution of the given system is

                 x(t) = c1 et + c2 e−t − 1 e2t
                                         3                            c1,2 = constants.
                 y(t) = 1 (x − 2x + e2t ) = − c31 et − c2 e−t + 1 e2t
                        3                                       3
5

(8) Assume that the ODE has a solution of the form y(x) =                                     an xn . Then y (x) =
                                                                                        n≥0
                  n−1                                         n−2
          nan x         and y (x) =            n(n − 1)an x         . As y is a solution, we must have
    n≥1                                  n≥2

                              n(n − 1)an xn−2 − 3x              nan xn−1 −         an xn = 0.
                        n≥2                             n≥1                  n≥0

         Equivalently,

                                n(n − 1)an xn−2 −            3nan xn −          an xn = 0.
                          n≥2                          n≥1                n≥0

         We’ll re-index the first sum as follows
                                    n(n − 1)an xn−2 =           (n + 2)(n + 1)an+2 xn .
                              n≥2                         n≥0

         Then
                              (n + 2)(n + 1)an+2 xn −             3nan xn −         a n xn = 0
                        n≥0                                n≥1                n≥0
    or

                    2a2 − a0 +              ((n + 2)(n + 1)an+2 − 3nan − an ) xn = 0.
                                      n≥1

         Thus a2 = a0 /2 and, generally, for n ≥ 1,
                                                        (3n + 1)an
                                             an+2 =                  .
                                                      (n + 2)(n + 1)
         Evaluating, we obtain
                                                        4
                                                   a3 =    a1
                                                       3·2
                                                  7          7
                                            a4 =     a2 =       a0
                                                 4·3      4·3·2
    and so on.
      Thus
                                            1 2    7 4                              2 3
                   y(x) = a0          1+      x +    x + . . . + a1           x+      x + ...
                                            2     24                                3
    and it remains to find a0 and a1 such that y(0) = 1, y (0) = 0. Actually, y(0) = 1 ⇒
    a0 = 1, while y (0) = 0 ⇒ a1 = 0, hence the solution is

                                                      1 2    7 4
                                        y(x) = 1 +      x +    x + ....
                                                      2     24

(9) Note that this problem has been also solved in class so you may also refer to your lecture
    notes.
6

        (a) The ODE is
                                      q + 6q + 18q = 30 cos t,
             thus
                      qc (t) = c1 e−3t cos(3t) + c2 e−3t sin(3t), c1,2 = constant.
             Setting up qp (t) = A cos t + B sin t, we obtain
                (−A + 6B + 18A) cos t + (−B − 6A + 18B) sin t = 30 cos t ⇒

                        B = 6A/17 A = 510/325 = 102/65 ⇒ B = 36/65.
              Thus the general solution is
                                                       102          36
            q(t) = c1 e−3t cos(3t) + c2 e−3t sin(3t) +     cos t +     sin t, c1,2 = constant.
                                                        65          65
              We see that
                                                                                      102       36
q (t) = c1 (−3e−3t cos(3t)−3e−3t sin(3t))+c2 (−3e−3t sin(3t)+3e−3t cos(3t))−              sin t+ cos t,
                                                                                       65       65
              so we can now use the initial conditions: q(0) = 100 = c1 + 102/65 and q (0) = 0 =
              −3c1 + 3c2 + 36/65 = 0. Thus
                                               6398         6386
                                         c1 =        , c2 =       ,
                                                 65          65
              so

                         6398 −3t        6386 −3t        102         36
                q(t) =       e cos(3t) +     e sin(3t) +     cos t +    sin t.
                          65              65             65          65
        (b) The transient terms are
                            6398 −3t               6386 −3t
                                 e cos(3t) and         e sin(3t)
                             65                     65
            (as they go to zero as t approaches infinity) and the steady-state terms are the
            remaining (last) two. The circuit is underdamped.

Weitere ähnliche Inhalte

Was ist angesagt?

Funktion suurin ja pienin arvo laskemalla
Funktion suurin ja pienin arvo laskemallaFunktion suurin ja pienin arvo laskemalla
Funktion suurin ja pienin arvo laskemallateemunmatikka
 
11X1 T09 03 second derivative
11X1 T09 03 second derivative11X1 T09 03 second derivative
11X1 T09 03 second derivativeNigel Simmons
 
Engr 213 midterm 1b sol 2009
Engr 213 midterm 1b sol 2009Engr 213 midterm 1b sol 2009
Engr 213 midterm 1b sol 2009akabaka12
 
Rumus kuadrat (rumus abc)
Rumus kuadrat (rumus abc)Rumus kuadrat (rumus abc)
Rumus kuadrat (rumus abc)Andi Nurisma
 
Question bank Engineering Mathematics- ii
Question bank Engineering Mathematics- ii Question bank Engineering Mathematics- ii
Question bank Engineering Mathematics- ii Mohammad Imran
 
Higher Differential Equation
Higher Differential Equation Higher Differential Equation
Higher Differential Equation Abdul Hannan
 
Sommation séries entières
Sommation séries entièresSommation séries entières
Sommation séries entièresLoïc Dilly
 
Ficha 9 -_limites e continuidade
Ficha 9 -_limites e continuidadeFicha 9 -_limites e continuidade
Ficha 9 -_limites e continuidadeMaria Joao Sargento
 
Lesson 22: Quadratic Forms
Lesson 22: Quadratic FormsLesson 22: Quadratic Forms
Lesson 22: Quadratic FormsMatthew Leingang
 
Tutorial 1: Differential equations: Variable Separable
Tutorial 1: Differential equations: Variable SeparableTutorial 1: Differential equations: Variable Separable
Tutorial 1: Differential equations: Variable SeparableDr. Mehar Chand
 
FEM Introduction: Solving ODE-BVP using the Galerkin's Method
FEM Introduction: Solving ODE-BVP using the Galerkin's MethodFEM Introduction: Solving ODE-BVP using the Galerkin's Method
FEM Introduction: Solving ODE-BVP using the Galerkin's MethodSuddhasheel GHOSH, PhD
 
202017370 es-maths-cned-sequence-03-limites-et-asymptotes
202017370 es-maths-cned-sequence-03-limites-et-asymptotes202017370 es-maths-cned-sequence-03-limites-et-asymptotes
202017370 es-maths-cned-sequence-03-limites-et-asymptotesEttaoufik Elayedi
 

Was ist angesagt? (20)

IIT JEE Maths 1987
IIT JEE Maths   1987IIT JEE Maths   1987
IIT JEE Maths 1987
 
Derivoiminen
DerivoiminenDerivoiminen
Derivoiminen
 
Funktion suurin ja pienin arvo laskemalla
Funktion suurin ja pienin arvo laskemallaFunktion suurin ja pienin arvo laskemalla
Funktion suurin ja pienin arvo laskemalla
 
11X1 T09 03 second derivative
11X1 T09 03 second derivative11X1 T09 03 second derivative
11X1 T09 03 second derivative
 
Engr 213 midterm 1b sol 2009
Engr 213 midterm 1b sol 2009Engr 213 midterm 1b sol 2009
Engr 213 midterm 1b sol 2009
 
Rumus kuadrat (rumus abc)
Rumus kuadrat (rumus abc)Rumus kuadrat (rumus abc)
Rumus kuadrat (rumus abc)
 
Demonstração do binômio de Newton
Demonstração do binômio de NewtonDemonstração do binômio de Newton
Demonstração do binômio de Newton
 
Question bank Engineering Mathematics- ii
Question bank Engineering Mathematics- ii Question bank Engineering Mathematics- ii
Question bank Engineering Mathematics- ii
 
Higher Differential Equation
Higher Differential Equation Higher Differential Equation
Higher Differential Equation
 
Limites parte1
Limites parte1Limites parte1
Limites parte1
 
Sommation séries entières
Sommation séries entièresSommation séries entières
Sommation séries entières
 
FM calculus
FM calculusFM calculus
FM calculus
 
Ficha 9 -_limites e continuidade
Ficha 9 -_limites e continuidadeFicha 9 -_limites e continuidade
Ficha 9 -_limites e continuidade
 
Chapter 1 (maths 3)
Chapter 1 (maths 3)Chapter 1 (maths 3)
Chapter 1 (maths 3)
 
Lesson 22: Quadratic Forms
Lesson 22: Quadratic FormsLesson 22: Quadratic Forms
Lesson 22: Quadratic Forms
 
Tutorial 1: Differential equations: Variable Separable
Tutorial 1: Differential equations: Variable SeparableTutorial 1: Differential equations: Variable Separable
Tutorial 1: Differential equations: Variable Separable
 
FEM Introduction: Solving ODE-BVP using the Galerkin's Method
FEM Introduction: Solving ODE-BVP using the Galerkin's MethodFEM Introduction: Solving ODE-BVP using the Galerkin's Method
FEM Introduction: Solving ODE-BVP using the Galerkin's Method
 
Introduction to differential equation
Introduction to differential equationIntroduction to differential equation
Introduction to differential equation
 
Limites exercicios
Limites exerciciosLimites exercicios
Limites exercicios
 
202017370 es-maths-cned-sequence-03-limites-et-asymptotes
202017370 es-maths-cned-sequence-03-limites-et-asymptotes202017370 es-maths-cned-sequence-03-limites-et-asymptotes
202017370 es-maths-cned-sequence-03-limites-et-asymptotes
 

Ähnlich wie Engr 213 final sol 2009

Engr 213 midterm 1a sol 2010
Engr 213 midterm 1a sol 2010Engr 213 midterm 1a sol 2010
Engr 213 midterm 1a sol 2010akabaka12
 
Engr 213 midterm 1b sol 2010
Engr 213 midterm 1b sol 2010Engr 213 midterm 1b sol 2010
Engr 213 midterm 1b sol 2010akabaka12
 
Engr 213 midterm 2b sol 2009
Engr 213 midterm 2b sol 2009Engr 213 midterm 2b sol 2009
Engr 213 midterm 2b sol 2009akabaka12
 
Week 3 [compatibility mode]
Week 3 [compatibility mode]Week 3 [compatibility mode]
Week 3 [compatibility mode]Hazrul156
 
Engr 213 midterm 2a sol 2009
Engr 213 midterm 2a sol 2009Engr 213 midterm 2a sol 2009
Engr 213 midterm 2a sol 2009akabaka12
 
Emat 213 midterm 1 fall 2005
Emat 213 midterm 1 fall 2005Emat 213 midterm 1 fall 2005
Emat 213 midterm 1 fall 2005akabaka12
 
Engr 213 midterm 1a sol 2009
Engr 213 midterm 1a sol 2009Engr 213 midterm 1a sol 2009
Engr 213 midterm 1a sol 2009akabaka12
 
Emat 213 midterm 1 winter 2006
Emat 213 midterm 1 winter 2006Emat 213 midterm 1 winter 2006
Emat 213 midterm 1 winter 2006akabaka12
 
Advanced Engineering Mathematics Solutions Manual.pdf
Advanced Engineering Mathematics Solutions Manual.pdfAdvanced Engineering Mathematics Solutions Manual.pdf
Advanced Engineering Mathematics Solutions Manual.pdfWhitney Anderson
 
separation_of_var_examples.pdf
separation_of_var_examples.pdfseparation_of_var_examples.pdf
separation_of_var_examples.pdfAlelignAsfaw
 
Maths Notes - Differential Equations
Maths Notes - Differential EquationsMaths Notes - Differential Equations
Maths Notes - Differential EquationsJames McMurray
 
Maths assignment
Maths assignmentMaths assignment
Maths assignmentNtshima
 
Ordinary differential equations
Ordinary differential equationsOrdinary differential equations
Ordinary differential equationsAhmed Haider
 
Emat 213 midterm 2 fall 2005
Emat 213 midterm 2 fall 2005Emat 213 midterm 2 fall 2005
Emat 213 midterm 2 fall 2005akabaka12
 
AEM Integrating factor to orthogonal trajactories
AEM Integrating factor to orthogonal trajactoriesAEM Integrating factor to orthogonal trajactories
AEM Integrating factor to orthogonal trajactoriesSukhvinder Singh
 
Calculus First Test 2011/10/20
Calculus First Test 2011/10/20Calculus First Test 2011/10/20
Calculus First Test 2011/10/20Kuan-Lun Wang
 

Ähnlich wie Engr 213 final sol 2009 (20)

Engr 213 midterm 1a sol 2010
Engr 213 midterm 1a sol 2010Engr 213 midterm 1a sol 2010
Engr 213 midterm 1a sol 2010
 
Engr 213 midterm 1b sol 2010
Engr 213 midterm 1b sol 2010Engr 213 midterm 1b sol 2010
Engr 213 midterm 1b sol 2010
 
Engr 213 midterm 2b sol 2009
Engr 213 midterm 2b sol 2009Engr 213 midterm 2b sol 2009
Engr 213 midterm 2b sol 2009
 
Week 3 [compatibility mode]
Week 3 [compatibility mode]Week 3 [compatibility mode]
Week 3 [compatibility mode]
 
Engr 213 midterm 2a sol 2009
Engr 213 midterm 2a sol 2009Engr 213 midterm 2a sol 2009
Engr 213 midterm 2a sol 2009
 
Emat 213 midterm 1 fall 2005
Emat 213 midterm 1 fall 2005Emat 213 midterm 1 fall 2005
Emat 213 midterm 1 fall 2005
 
Engr 213 midterm 1a sol 2009
Engr 213 midterm 1a sol 2009Engr 213 midterm 1a sol 2009
Engr 213 midterm 1a sol 2009
 
Week 2
Week 2 Week 2
Week 2
 
Emat 213 midterm 1 winter 2006
Emat 213 midterm 1 winter 2006Emat 213 midterm 1 winter 2006
Emat 213 midterm 1 winter 2006
 
Advanced Engineering Mathematics Solutions Manual.pdf
Advanced Engineering Mathematics Solutions Manual.pdfAdvanced Engineering Mathematics Solutions Manual.pdf
Advanced Engineering Mathematics Solutions Manual.pdf
 
separation_of_var_examples.pdf
separation_of_var_examples.pdfseparation_of_var_examples.pdf
separation_of_var_examples.pdf
 
Sect1 2
Sect1 2Sect1 2
Sect1 2
 
Maths Notes - Differential Equations
Maths Notes - Differential EquationsMaths Notes - Differential Equations
Maths Notes - Differential Equations
 
Maths assignment
Maths assignmentMaths assignment
Maths assignment
 
160280102021 c2 aem (2)
160280102021 c2 aem (2)160280102021 c2 aem (2)
160280102021 c2 aem (2)
 
Ordinary differential equations
Ordinary differential equationsOrdinary differential equations
Ordinary differential equations
 
Emat 213 midterm 2 fall 2005
Emat 213 midterm 2 fall 2005Emat 213 midterm 2 fall 2005
Emat 213 midterm 2 fall 2005
 
Calculus Final Exam
Calculus Final ExamCalculus Final Exam
Calculus Final Exam
 
AEM Integrating factor to orthogonal trajactories
AEM Integrating factor to orthogonal trajactoriesAEM Integrating factor to orthogonal trajactories
AEM Integrating factor to orthogonal trajactories
 
Calculus First Test 2011/10/20
Calculus First Test 2011/10/20Calculus First Test 2011/10/20
Calculus First Test 2011/10/20
 

Mehr von akabaka12

Engr 213 midterm 2b 2009
Engr 213 midterm 2b 2009Engr 213 midterm 2b 2009
Engr 213 midterm 2b 2009akabaka12
 
Engr 213 midterm 2a 2009
Engr 213 midterm 2a 2009Engr 213 midterm 2a 2009
Engr 213 midterm 2a 2009akabaka12
 
Emat 213 study guide
Emat 213 study guideEmat 213 study guide
Emat 213 study guideakabaka12
 
Emat 213 midterm 2 winter 2006
Emat 213 midterm 2 winter 2006Emat 213 midterm 2 winter 2006
Emat 213 midterm 2 winter 2006akabaka12
 
Engr 213 midterm 1a 2009
Engr 213 midterm 1a 2009Engr 213 midterm 1a 2009
Engr 213 midterm 1a 2009akabaka12
 
Engr 213 midterm 1b 2009
Engr 213 midterm 1b 2009Engr 213 midterm 1b 2009
Engr 213 midterm 1b 2009akabaka12
 
Engr 213 final 2007
Engr 213 final 2007Engr 213 final 2007
Engr 213 final 2007akabaka12
 
Emat 213 final fall 2005
Emat 213 final fall 2005Emat 213 final fall 2005
Emat 213 final fall 2005akabaka12
 
Engr 213 final sol 2007
Engr 213 final sol 2007Engr 213 final sol 2007
Engr 213 final sol 2007akabaka12
 

Mehr von akabaka12 (9)

Engr 213 midterm 2b 2009
Engr 213 midterm 2b 2009Engr 213 midterm 2b 2009
Engr 213 midterm 2b 2009
 
Engr 213 midterm 2a 2009
Engr 213 midterm 2a 2009Engr 213 midterm 2a 2009
Engr 213 midterm 2a 2009
 
Emat 213 study guide
Emat 213 study guideEmat 213 study guide
Emat 213 study guide
 
Emat 213 midterm 2 winter 2006
Emat 213 midterm 2 winter 2006Emat 213 midterm 2 winter 2006
Emat 213 midterm 2 winter 2006
 
Engr 213 midterm 1a 2009
Engr 213 midterm 1a 2009Engr 213 midterm 1a 2009
Engr 213 midterm 1a 2009
 
Engr 213 midterm 1b 2009
Engr 213 midterm 1b 2009Engr 213 midterm 1b 2009
Engr 213 midterm 1b 2009
 
Engr 213 final 2007
Engr 213 final 2007Engr 213 final 2007
Engr 213 final 2007
 
Emat 213 final fall 2005
Emat 213 final fall 2005Emat 213 final fall 2005
Emat 213 final fall 2005
 
Engr 213 final sol 2007
Engr 213 final sol 2007Engr 213 final sol 2007
Engr 213 final sol 2007
 

Kürzlich hochgeladen

CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Servicegiselly40
 
Evaluating the top large language models.pdf
Evaluating the top large language models.pdfEvaluating the top large language models.pdf
Evaluating the top large language models.pdfChristopherTHyatt
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonetsnaman860154
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Igalia
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfEnterprise Knowledge
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfsudhanshuwaghmare1
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProduct Anonymous
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024The Digital Insurer
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking MenDelhi Call girls
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonAnna Loughnan Colquhoun
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdfhans926745
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptxHampshireHUG
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Scriptwesley chun
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Drew Madelung
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationSafe Software
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking MenDelhi Call girls
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdflior mazor
 

Kürzlich hochgeladen (20)

CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
 
Evaluating the top large language models.pdf
Evaluating the top large language models.pdfEvaluating the top large language models.pdf
Evaluating the top large language models.pdf
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
 

Engr 213 final sol 2009

  • 1. Solutions to the Final exam of Winter 2009 Applied Ordinary Differential Equations ENGR 213 (1) (a) This is a separable equation which can be re-written in the form dy dx = . (2y + 3)2 (4x + 5)2 To integrate the left hand side, use the substitution u = 2y + 3, thus du = 2dy, while, for the right hand side, use w = 4x + 5, dw = 4dx. Therefore, dy 1 1 1 1 2 = 2 du = − + c = − + c, (2y + 3) 2 u 2u 2(2y + 3) dy 1 1 1 1 2 = 2 dw = − +c =− +c. (4x + 5) 4 w 4w 4(4x + 5) Using a single constant C to replace the difference c − c, we have the general solution of the equation in implicit form: 1 1 = + C. 2(2y + 3) 4(4x + 5) (b) This ODE is linear, hence we shall first put it in its standard form (we’ll solve it for x > 0): dy 1 1 + y = ex . dx x x x Thus P (x) = 1/x and Q(x) = e /x and we look for an integrating factor (hence in the following we choose the constant of integration zero) 1 dx µ(x) = e x = eln x = x. We multiply the equation with µ to obtain xy + y = ex or (xy) = ex . Integrating both sides, we obtain ex C xy = ex + C, C = constant, ⇒ y(x) = + , C = constant, x x the general solution in explicit form. We now make use of the initial condition y(1) = 2 to determine the constant: ex 2 − e y(1) = e + C = 2 ⇒ C = 2 − e ⇒ y(x) = + . x x (2) By denoting M (x, y) = y 2 cos x − 3x2 y − 2x, N (x, y) = 2y sin x − x3 + ln y, we check that ∂M ∂N (x, y) = (x, y) = 2y cos x − 3x2 ∂y ∂x hence the equation is exact. 1
  • 2. 2 We therefore start to look for a function f (x, y) whose partial derivatives with respect to x, respectively y, are M and respectively N . We do so by integrating M (x, y) with respect to x: f (x, y) = y 2 sin x − x3 y − x2 + C(y). We then differentiate f with respect to y and, setting the result equal to N , obtain 2y sin x − x3 + C (y) = ln y. Thus C(y) is an antiderivative of ln y. We can find it by integration by parts (u = ln y, dv = dy): C(y) = ln y dy = y ln y − 1 dy = y ln y − y + c, c = constant. Hence f (x, y) = y 2 sin x − x3 y − x2 + y ln y − y + c and the solution to the ODE (in implicit form) is y 2 sin x − x3 y − x2 + y ln y − y + c = 0, c = constant. dy du (3) We’ll use the substitution u = x + y ⇒ y = u − x, then = − 1. Therefore, the dx dx substitution leads to the related ODE du du − 1 = tan2 u ⇔ = 1 + tan2 u. dx dx sin u sin2 u + cos2 u 1 As tan u = , we note that 1 + tan2 u = 2u = . Then cos u cos cos2 u du 1 = 2u ⇒ cos2 u du = dx dx cos 1 + cos(2u) u sin(2u) whose solution is du = x + c ⇒ + = x + c, thus the 2 2 4 general solution of the original ODE (in implicit form) is x + y sin(2(x + y)) + = x + c, c = constant. 2 4 (4) For the first 4 seconds, the velocity is constant (equal to 100 m/sec), then the velocity is a solution of the ODE dV = −0.002V 2 . dt This ODE has the solution 1 − = −0.002t + c, V (0) = 100 V or 1 1 V (t) = ⇒ = 20 ⇒ t = 20. 0.002t + 0.01 0.002t + 0.01
  • 3. 3 We must not forget to add the 4 seconds when the velocity remained constant, hence the final answer is that the velocity reaches 20 m/sec after 24 sec. (5) (a) First, using r2 +6r +8 = 0 ⇔ r = −4 or r = −2, we find that the complementary part of the general solution is yc (x) = c1 e−4x + c2 e−2x . Having no duplication between yc and sin(3x), we set up yp as yp (x) = A sin(3x)+B cos(3x) ⇒ yp (x) = 3A cos(3x)−3B sin(3x) ⇒ yp (x) = −9A sin(3x)−9B cos(3x). Substituting these into the nonhomogenous ODE, we obtain −9A sin(3x) − 9B cos(3x) + 6(3A cos(3x) − 3B sin(3x)) + 8(A sin(3x) + B cos(3x)) = sin(3x), or −A − 18B = 1, 18A − B = 0 which implies A = −1/325 and B = −18/325. Thus the general solution of the ODE is 1 18 y(x) = c1 e−4x + c2 e−2x − sin(3x) − cos(3x), c1,2 = constants. 325 325 (b) We start again with the characteristic equation of the associated homogenous ODE, r2 +10r+25 = 0. This equation has 5 as a double root, hence yc (x) = c1 e5x +c2 xe5x . Yet, there is no duplication between yc and ex so we may take yp (x) = Aex = yp (x) = yp (x). In conclusion, 36Aex = ex , so A = 1/36 and the general solution of the ODE is 1 x y(x) = c1 e5x + c2 xe5x + e , c1,2 = constants. 36 (6) This is a non-homogeneous Cauchy-Euler equation. Consider first the homogeneous Cauchy-Euler DE: 2x2 y + 5xy + y = 0. Its characteristic equation is 2m(m − 1) + 5m + 1 = 0 or 2m2 + 3m + 1 = 0. Its roots are −1 and −1/2, hence (solving the ODE on (0, ∞)) 1 1 yc (x) = c1 + c2 √ , c1,2 = constants. x x By choosing, y1 (x) = x−1 and y2 (x) = x−1/2 , we can form the Wronskian W (x) and proceed to find a particular solution of the non-homogeneous equation given by using the variation of parameters. However, in order to apply the variation of parameters and identify correctly the function f needed for W1 and W2 below, we must use the standard form of the equation: y + P (x)y + Q(x) = f (x), thus divide the non-homogeneous Cauchy-Euler equation by 2x2 to obtain 5 1 1 1 y + y + 2y= − . 2x 2x 2 2x x−1 x−1/2 1 −5/2 0 x−1/2 1 1 W (x) = det = x , W1 (x) = det = − x−1/2 + x−3/2 −x −2 − 1 x−3/2 2 2 1 2 1 1 − 2x − 2 x−3/2 2 2 x−1 0 1 −1 1 −2 W2 (x) = det 1 1 = x − x , −x−2 2 − 2x 2 2
  • 4. 4 W1 W2 u1 = = −x2 + x, u2 = = x3/2 − x1/2 . W W The simplest antiderivatives are x3 x2 2 2 u1 = − + , u2 = x5/2 − x3/2 . 3 2 5 3 Thus x3 x2 2 5/2 2 3/2 x2 x yp (x) = x−1 − + + x−1/2 x − x = − , 3 2 5 3 15 6 and 1 1 x2 x ygeneral (x) = c1 + c2 √ + − , c1,2 = constants. x x 15 6 (7) We’ll use the method of systematic elimination, hence, using D for the differentiation with respect to t, we’ll write the system as Dx = 2x + 3y − e2t , (D − 2)x − 3y = −e2t , or Dy = −x − 2y + e2t x + (D + 2)y = e2t . Through symbolic computation, we obtain (D − 2)(D + 2)x − 3(D + 2)y = −(D + 2)e2t (D2 − 4)x − 3(D + 2)y = −4e2t ⇒ 3x + 3(D + 2)y = 3e2t 3x + 3(D + 2)y = 3e2t . Above, we used that (D + 2)e2t = (e2t ) + 2e2t = 4e2t . Adding the two equations, we obtain (D2 − 1)x = −e2t ⇔ x − 1 = −e2t . We solve first this non-homogeneous ODE. It’s easy to see that xc (t) = c1 et + c2 e−t , c1,2 = constants. For the particular solution, we use the method of undetermined coefficients by setting xp (t) = Ae2t ⇒ xp (t) = 2Ae2t , xp (t) = 4Ae2t , thus 3A = −1 and 1 1 xp (t) = − e2t ⇒ x(t) = c1 et + c2 e−t − e2t , c1,2 = constants. 3 3 To find y(t) we go back to the first equation of the system and note that 1 c1 1 y = (x − 2x + e2t ) = − et − c2 e−t + e2t . 3 3 3 In conclusion, the general solution of the given system is x(t) = c1 et + c2 e−t − 1 e2t 3 c1,2 = constants. y(t) = 1 (x − 2x + e2t ) = − c31 et − c2 e−t + 1 e2t 3 3
  • 5. 5 (8) Assume that the ODE has a solution of the form y(x) = an xn . Then y (x) = n≥0 n−1 n−2 nan x and y (x) = n(n − 1)an x . As y is a solution, we must have n≥1 n≥2 n(n − 1)an xn−2 − 3x nan xn−1 − an xn = 0. n≥2 n≥1 n≥0 Equivalently, n(n − 1)an xn−2 − 3nan xn − an xn = 0. n≥2 n≥1 n≥0 We’ll re-index the first sum as follows n(n − 1)an xn−2 = (n + 2)(n + 1)an+2 xn . n≥2 n≥0 Then (n + 2)(n + 1)an+2 xn − 3nan xn − a n xn = 0 n≥0 n≥1 n≥0 or 2a2 − a0 + ((n + 2)(n + 1)an+2 − 3nan − an ) xn = 0. n≥1 Thus a2 = a0 /2 and, generally, for n ≥ 1, (3n + 1)an an+2 = . (n + 2)(n + 1) Evaluating, we obtain 4 a3 = a1 3·2 7 7 a4 = a2 = a0 4·3 4·3·2 and so on. Thus 1 2 7 4 2 3 y(x) = a0 1+ x + x + . . . + a1 x+ x + ... 2 24 3 and it remains to find a0 and a1 such that y(0) = 1, y (0) = 0. Actually, y(0) = 1 ⇒ a0 = 1, while y (0) = 0 ⇒ a1 = 0, hence the solution is 1 2 7 4 y(x) = 1 + x + x + .... 2 24 (9) Note that this problem has been also solved in class so you may also refer to your lecture notes.
  • 6. 6 (a) The ODE is q + 6q + 18q = 30 cos t, thus qc (t) = c1 e−3t cos(3t) + c2 e−3t sin(3t), c1,2 = constant. Setting up qp (t) = A cos t + B sin t, we obtain (−A + 6B + 18A) cos t + (−B − 6A + 18B) sin t = 30 cos t ⇒ B = 6A/17 A = 510/325 = 102/65 ⇒ B = 36/65. Thus the general solution is 102 36 q(t) = c1 e−3t cos(3t) + c2 e−3t sin(3t) + cos t + sin t, c1,2 = constant. 65 65 We see that 102 36 q (t) = c1 (−3e−3t cos(3t)−3e−3t sin(3t))+c2 (−3e−3t sin(3t)+3e−3t cos(3t))− sin t+ cos t, 65 65 so we can now use the initial conditions: q(0) = 100 = c1 + 102/65 and q (0) = 0 = −3c1 + 3c2 + 36/65 = 0. Thus 6398 6386 c1 = , c2 = , 65 65 so 6398 −3t 6386 −3t 102 36 q(t) = e cos(3t) + e sin(3t) + cos t + sin t. 65 65 65 65 (b) The transient terms are 6398 −3t 6386 −3t e cos(3t) and e sin(3t) 65 65 (as they go to zero as t approaches infinity) and the steady-state terms are the remaining (last) two. The circuit is underdamped.