Lecture Notes in Differential Equations - Bruce E. Shapiro
Lecture Notes in Differential Equations - Bruce E. Shapiro Lecture Notes in Differential Equations - Bruce E. Shapiro
136 LESSON 16. LINEAR EQS. W/ CONST. COEFFICENTS Example 16.1. Show that L is a linear operator. Recall from definition (15.3) we need to show the following to demonstrate that L is linear L(αy + βz) = αLy + βLz (16.6) where α and β are constants and y(t) and z(t) are functions. But L(αy + βz) = (aD 2 + bD + c)(αy + βz) (16.7) = aD 2 (αy + βz) + bD(αy + βz) + c(αy + βz) (16.8) = a(αy + βz) ′′ + b(αy + βz) ′ + c(αy + βz) (16.9) = a(αy ′′ + βz ′′ ) + b(αy ′ + βz ′ ) + c(αy + βz) (16.10) = α(ay ′′ + by ′ + cy) + β(az ′′ + bz ′ + cz) (16.11) = αLy + βLz (16.12) Definition 16.3. The characteristic polynomial corresponding to characteristic polynomial (16.1) is ar 2 + br + c = 0 (16.13) Equation (16.13) is also called the characteristic equation of the differential equation. The following example illustrates why the characteristic equation is useful. Example 16.2. For what values of r does y = e rt satisfy the differential equation y ′′ − 4y ′ + 3y = 0 (16.14) Differentiating y = e rt , Plugging both expressions into (16.14), y ′ = re rt (16.15) y ′′ = r 2 e rt (16.16) r 2 e rt − 4re rt + 3e r t = 0 (16.17) Since e rt can never equal zero we can cancel it out of every term, r 2 − 4r + 3 = 0 (16.18) Equation (16.18) is the characteristic equation of (16.14). Factoring it, (r − 3)(r − 1) = 0 (16.19)
137 Hence both r = 1 and r = 3. This tells us each of the following functions are solutions of (16.14): y = e t (16.20) y = e 3t (16.21) We will see shortly how to combine these to get a more general solution. We can generalize the last example as follows. Theorem 16.4. If r is a root of the characteristic equation of Ly = 0, then e rt is a solution of Ly = 0. Proof. L[e rt ] = a(e rt ) ′′ + b(e rt ) ′ + c(e rt ) (16.22) Since r is a root of the characteristic equation, Hence Thus y = e rt is a solution of Ly = 0. = ar 2 e rt + bre rt + ce rt (16.23) = (ar 2 + br + c)e rt (16.24) ar 2 + br + c = 0 (16.25) L[e rt ] = 0 (16.26) Theorem 16.5. If the characteristic polynomial has a repeated root r, then y = te rt is a solution of Ly = 0. Proof. L(te rt ) = a(te rt ) ′′ + b(te rt ) ′ + c(te rt ) (16.27) = a(e rt + rte rt ) ′ + b(e rt + rte rt ) + cte rt (16.28) = a(2re rt + r 2 te rt ) + b(e rt + rte rt ) + cte rt (16.29) = e rt (2ar + b + (ar 2 + br + c)t) (16.30) Since r is a root, r 2 + br + c = 0. Hence Since r is root, from the quadratic equation, L(te rt ) = e rt (2ar + b) (16.31) r = −b ± √ b 2 − 4ac 2a (16.32)
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- Page 95 and 96: 87 the revised equation (10.100) is
- Page 97 and 98: 89 Substituting (10.129) into (10.1
- Page 99 and 100: Lesson 11 Method of Successive Appr
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- Page 103 and 104: 95 Example 11.1. Construct the Pica
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- 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: Lesson 16 Linear Equations With Con
- Page 147 and 148: 139 The second order linear initial
- Page 149 and 150: 141 The general solution to is give
- Page 151 and 152: Lesson 17 Some Special Substitution
- Page 153 and 154: 145 Therefore since z = y ′ , Int
- Page 155 and 156: 147 Example 17.5. Solve yy ′′ +
- Page 157 and 158: 149 where I is the identity matrix.
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- Page 161 and 162: Lesson 18 Complex Roots We know for
- Page 163 and 164: 155 Theorem 18.2. Euler’s Formula
- Page 165 and 166: 157 For k = 0, 1, 2, . . . , n −
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- Page 171 and 172: Lesson 19 Method of Undetermined Co
- Page 173 and 174: 165 3. If f(t) = e rt and r is a ro
- Page 175 and 176: 167 Example 19.4. Solve ⎫ y ′
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- Page 179 and 180: Lesson 20 The Wronskian We have see
- Page 181 and 182: 173 Definition 20.1. The Wronskian
- Page 183 and 184: 175 Example 20.3. Show that y = sin
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- Page 187 and 188: Lesson 21 Reduction of Order The me
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- Page 191 and 192: 183 Plugging these into Bessel’s
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136 LESSON 16. LINEAR EQS. W/ CONST. COEFFICENTS<br />
Example 16.1. Show that L is a l<strong>in</strong>ear operator.<br />
Recall from def<strong>in</strong>ition (15.3) we need to show the follow<strong>in</strong>g to demonstrate<br />
that L is l<strong>in</strong>ear<br />
L(αy + βz) = αLy + βLz (16.6)<br />
where α and β are constants and y(t) and z(t) are functions. But<br />
L(αy + βz) = (aD 2 + bD + c)(αy + βz) (16.7)<br />
= aD 2 (αy + βz) + bD(αy + βz) + c(αy + βz) (16.8)<br />
= a(αy + βz) ′′ + b(αy + βz) ′ + c(αy + βz) (16.9)<br />
= a(αy ′′ + βz ′′ ) + b(αy ′ + βz ′ ) + c(αy + βz) (16.10)<br />
= α(ay ′′ + by ′ + cy) + β(az ′′ + bz ′ + cz) (16.11)<br />
= αLy + βLz (16.12)<br />
Def<strong>in</strong>ition 16.3. The characteristic polynomial correspond<strong>in</strong>g to characteristic<br />
polynomial (16.1) is<br />
ar 2 + br + c = 0 (16.13)<br />
Equation (16.13) is also called the characteristic equation of the differential<br />
equation.<br />
The follow<strong>in</strong>g example illustrates why the characteristic equation is useful.<br />
Example 16.2. For what values of r does y = e rt satisfy the differential<br />
equation<br />
y ′′ − 4y ′ + 3y = 0 (16.14)<br />
Differentiat<strong>in</strong>g y = e rt ,<br />
Plugg<strong>in</strong>g both expressions <strong>in</strong>to (16.14),<br />
y ′ = re rt (16.15)<br />
y ′′ = r 2 e rt (16.16)<br />
r 2 e rt − 4re rt + 3e r t = 0 (16.17)<br />
S<strong>in</strong>ce e rt can never equal zero we can cancel it out of every term,<br />
r 2 − 4r + 3 = 0 (16.18)<br />
Equation (16.18) is the characteristic equation of (16.14). Factor<strong>in</strong>g it,<br />
(r − 3)(r − 1) = 0 (16.19)