Lecture Notes in Differential Equations - Bruce E. Shapiro
Lecture Notes in Differential Equations - Bruce E. Shapiro Lecture Notes in Differential Equations - Bruce E. Shapiro
116 LESSON 13. UNIQUENESS OF SOLUTIONS*
Lesson 14 Review of Linear Algebra In this section we will recall some concepts from linear algebra class Definition 14.1. A Euclidean 3-vector v is object with a magnitude and direction which we will denote by the ordered triple v = (x, y, z) (14.1) The magnitude or absolute value or length of the v is denoted by the postitive square root v = |v| = √ x 2 + y 2 + z 2 (14.2) This definition is motivated by the fact that v is the length of the line segment from the origin to the point P = (x, y, z) in Euclidean 3-space. A vector is sometimes represented geometrically by an arrow from the origin to the point P = (x, y, z), and we will sometimes use the notation (x, y, z) to refer either to the point P or the vector v from the origin to the point P . Usually it will be clear from the context which we mean. This works because of the following theorem. Definition 14.2. The set of all Euclidean 3-vectors is isomorphic to the Euclidean 3-space (which we typically refer to as R 3 ). If you are unfamiliar with the term isomorphic, don’t worry about it; just take it to mean “in one-to-one correspondence with,” and that will be sufficient for our purposes. 117
- 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 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
- 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: 115 Substituting (13.66) into (13.6
- 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
- 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.
- Page 159 and 160: 151 can be rewritten by solving a =
- 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 −
- Page 167 and 168: 159 and its roots are given by The
- Page 169 and 170: 161 The motivation for equation 18.
- 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
Lesson 14<br />
Review of L<strong>in</strong>ear Algebra<br />
In this section we will recall some concepts from l<strong>in</strong>ear algebra class<br />
Def<strong>in</strong>ition 14.1. A Euclidean 3-vector v is object with a magnitude<br />
and direction which we will denote by the ordered triple<br />
v = (x, y, z) (14.1)<br />
The magnitude or absolute value or length of the v is denoted by the<br />
postitive square root<br />
v = |v| = √ x 2 + y 2 + z 2 (14.2)<br />
This def<strong>in</strong>ition is motivated by the fact that v is the length of the l<strong>in</strong>e<br />
segment from the orig<strong>in</strong> to the po<strong>in</strong>t P = (x, y, z) <strong>in</strong> Euclidean 3-space.<br />
A vector is sometimes represented geometrically by an arrow from the orig<strong>in</strong><br />
to the po<strong>in</strong>t P = (x, y, z), and we will sometimes use the notation (x, y, z)<br />
to refer either to the po<strong>in</strong>t P or the vector v from the orig<strong>in</strong> to the po<strong>in</strong>t<br />
P . Usually it will be clear from the context which we mean. This works<br />
because of the follow<strong>in</strong>g theorem.<br />
Def<strong>in</strong>ition 14.2. The set of all Euclidean 3-vectors is isomorphic to the<br />
Euclidean 3-space (which we typically refer to as R 3 ).<br />
If you are unfamiliar with the term isomorphic, don’t worry about it; just<br />
take it to mean “<strong>in</strong> one-to-one correspondence with,” and that will be<br />
sufficient for our purposes.<br />
117