Lecture Notes in Differential Equations - Bruce E. Shapiro
Lecture Notes in Differential Equations - Bruce E. Shapiro Lecture Notes in Differential Equations - Bruce E. Shapiro
88 LESSON 10. INTEGRATING FACTORS This depends on both t and y; case 1 requires that P (1) (t, y) only depend on t. Hence case 1 fails. Next we try case 2 P (2) (t, y) = N t(t, y) − M y (t, y) M(t, y) = 1 y (10.116) Since P (2) is purely a function of y, the conditions for case (2) are satisfied. Hence an integrating factor is (∫ ) µ(y) = exp (1/y)dy = exp (ln y) = y (10.117) Multiplying equation the differential equation through µ(y) = y gives This has y 2 dt + (2ty − y 2 e y )dy = 0 (10.118) M(t, y) = y 2 (10.119) N(t, y) = 2ty − y 2 e y (10.120) Since M y = 2y = N t , equation (10.118) is exact. Thus we know that the solution is φ(t, y) = C where ∂φ ∂t =M(t, y) = y2 (10.121) ∂φ ∂y =N(t, y) = 2ty − y2 e y (10.122) Integrating (10.121) over t, ∫ ∫ ∂φ φ(t, y) = ∂t dt + h(y) = y 2 dt + h(y) = y 2 t + h(y) (10.123) Differentiating with respect to y, ∂φ ∂y = 2ty + h′ (y) (10.124) Equating the right hand sides of (10.124) and (10.122), 2yt + h ′ (y) = 2ty − y 2 e y (10.125) h ′ (y) = −y 2 e y ∫ (10.126) h(y) = h ′ (y)dy (10.127) = − ∫ y 2 e y dy (10.128) = −e y (2 − 2y + y 2 ) (10.129)
89 Substituting (10.129) into (10.123) gives φ(t, y) = y 2 t − e y (2 − 2y + y 2 ) (10.130) The general solution of the ODE is y 2 t + e y (−2 + 2y − y 2 ) = C (10.131) The initial condition y(0) = 1 gives C = (1 2 )(0) + e 1 (−2 + (2)(1) − 1 2 ) = −e (10.132) Hence the solution of the initial value problem is y 2 t + e y (−2 + 2y − y 2 ) = −e (10.133)
- Page 45 and 46: 37 ∫ t t 0 Evaluating the integra
- Page 47 and 48: Lesson 5 Bernoulli Equations The Be
- Page 49 and 50: 41 This is a Bernoulli equation wit
- Page 51 and 52: Lesson 6 Exponential Relaxation One
- Page 53 and 54: 45 Exponential Runaway First we con
- Page 55 and 56: 47 Figure 6.2: Illustration of the
- Page 57 and 58: 49 This is identical to with Theref
- Page 59 and 60: 51 this becomes a first-order ODE i
- Page 61 and 62: Lesson 7 Autonomous Differential Eq
- Page 63 and 64: 55 Figure 7.1: A plot of the right-
- Page 65 and 66: 57 Figure 7.2: Solutions of the log
- Page 67 and 68: 59 Figure 7.4: Solutions of the thr
- Page 69 and 70: Lesson 8 Homogeneous Equations Defi
- Page 71 and 72: 63 where z = y/t, the differential
- Page 73 and 74: Lesson 9 Exact Equations We can re-
- Page 75 and 76: 67 Now compare equation (9.2) with
- Page 77 and 78: 69 Hence dg dy = 0 =⇒ g = C′ (9
- Page 79 and 80: 71 From the first of equations (9.5
- Page 81 and 82: 73 Differentiating equations (9.81)
- Page 83 and 84: 75 This has the form Mdt + Ndy = 0
- Page 85 and 86: Lesson 10 Integrating Factors Defin
- Page 87 and 88: 79 Differentiating with respect to
- Page 89 and 90: 81 Proof. In each of the five cases
- Page 91 and 92: 83 as required by equation (10.31).
- Page 93 and 94: 85 Since M y ≠ N t , equation (10
- Page 95: 87 the revised equation (10.100) is
- Page 99 and 100: Lesson 11 Method of Successive Appr
- Page 101 and 102: 93 because the integral is zero (th
- Page 103 and 104: 95 Example 11.1. Construct the Pica
- Page 105 and 106: 97 We can then plug this expression
- Page 107 and 108: Lesson 12 Existence of Solutions* I
- Page 109 and 110: 101 • Interchangeability of Limit
- Page 111 and 112: 103 But on the square −1 ≤ t
- Page 113 and 114: 105 Thus lim φ n = φ 0 + lim n→
- Page 115 and 116: 107 because the right hand side doe
- Page 117 and 118: Lesson 13 Uniqueness of Solutions*
- Page 119 and 120: 111 The proof of theorem (13.1) is
- Page 121 and 122: 113 But δ(t) is an absolute value,
- Page 123 and 124: 115 Substituting (13.66) into (13.6
- Page 125 and 126: Lesson 14 Review of Linear Algebra
- Page 127 and 128: 119 Definition 14.10. An m × n (or
- Page 129 and 130: 121 Definition 14.19. Matrix Multip
- Page 131 and 132: 123 In practical terms, computation
- Page 133 and 134: 125 Simplifying 4x − 2 + 3z = 0 (
- Page 135 and 136: Lesson 15 Linear Operators and Vect
- Page 137 and 138: 129 Example 15.3. By a similar argu
- Page 139 and 140: 131 Therefore ‖y + z‖ 2 ≤ ‖
- Page 141 and 142: 133 Definition 15.5. Two vectors y,
- Page 143 and 144: Lesson 16 Linear Equations With Con
- Page 145 and 146: 137 Hence both r = 1 and r = 3. Thi
88 LESSON 10. INTEGRATING FACTORS<br />
This depends on both t and y; case 1 requires that P (1) (t, y) only depend<br />
on t. Hence case 1 fails. Next we try case 2<br />
P (2) (t, y) = N t(t, y) − M y (t, y)<br />
M(t, y)<br />
= 1 y<br />
(10.116)<br />
S<strong>in</strong>ce P (2) is purely a function of y, the conditions for case (2) are satisfied.<br />
Hence an <strong>in</strong>tegrat<strong>in</strong>g factor is<br />
(∫ )<br />
µ(y) = exp (1/y)dy = exp (ln y) = y (10.117)<br />
Multiply<strong>in</strong>g equation the differential equation through µ(y) = y gives<br />
This has<br />
y 2 dt + (2ty − y 2 e y )dy = 0 (10.118)<br />
M(t, y) = y 2 (10.119)<br />
N(t, y) = 2ty − y 2 e y (10.120)<br />
S<strong>in</strong>ce M y = 2y = N t , equation (10.118) is exact. Thus we know that the<br />
solution is φ(t, y) = C where<br />
∂φ<br />
∂t =M(t, y) = y2 (10.121)<br />
∂φ<br />
∂y =N(t, y) = 2ty − y2 e y (10.122)<br />
Integrat<strong>in</strong>g (10.121) over t,<br />
∫ ∫<br />
∂φ<br />
φ(t, y) =<br />
∂t dt + h(y) = y 2 dt + h(y) = y 2 t + h(y) (10.123)<br />
Differentiat<strong>in</strong>g with respect to y,<br />
∂φ<br />
∂y = 2ty + h′ (y) (10.124)<br />
Equat<strong>in</strong>g the right hand sides of (10.124) and (10.122),<br />
2yt + h ′ (y) = 2ty − y 2 e y (10.125)<br />
h ′ (y) = −y 2 e y<br />
∫<br />
(10.126)<br />
h(y) = h ′ (y)dy (10.127)<br />
= −<br />
∫<br />
y 2 e y dy (10.128)<br />
= −e y (2 − 2y + y 2 ) (10.129)