3. y4) + 4y" = 0; y(0) = 0, y'(0) = -1, y₁ (t) = 1, y₂ (t)=t, y3(t) = cos 2t, y'(0)=-4, y" (0) = 8 y4 (t) = sin 2t

Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter4: Eigenvalues And Eigenvectors
Section4.2: Determinants
Problem 7AEXP
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Please show all work and do all parts. Only do question 3.
aten
Second and Higher Order Linear Differential Equations
2. y"" - y' = 0; y(0) = 4, y'(0) = 1,
y₁ (t) = 1, y₂ (t)=e¹, y(t) = et
13. y(4) + 4y" = 0; y(0) = 0, y'(0) = -1,
y₁ (t) = 1, y₂ (t)=t, y3 (t) = cos 2t,
4. y" + 2y" = 0; y(0) = 0, y'(0) = 3,
y₁ (t) = 1, y₂(t)=t, y3(t)=e-²t
5. ty" + 3y"=0, t>0;
y₂(t) =t,
y₁ (t) = 1,
6. ty" + ty" - y = 0,
Exercises 7-10:
y"(0) = 3
y₁ (t) = 1, y₂ (t) = ln(-t),
y(2) = 1, y' (2)=-,
y3(t) = t¹3.00
WOH
y'(0) = -4, y" (0) = 8
y4 (t) = sin 2t
03 ol
y" (0) = -8
y" (2) =
sorod sepgil ba
t<0; y(-1) = 1, y'(-1) = -1, y'(-1) =
y3 (t) = t²
Consider the given differential equation on the interval -∞<t<∞..
members of a solution set satisfy the initial conditions. Do the solution
mental set?
7. y" + 2ty +1²y = 0, y₁ (1)=2, ₁(1) = -1, 3₂(1) = -4, y/2(1)
(0)
CO
Transcribed Image Text:aten Second and Higher Order Linear Differential Equations 2. y"" - y' = 0; y(0) = 4, y'(0) = 1, y₁ (t) = 1, y₂ (t)=e¹, y(t) = et 13. y(4) + 4y" = 0; y(0) = 0, y'(0) = -1, y₁ (t) = 1, y₂ (t)=t, y3 (t) = cos 2t, 4. y" + 2y" = 0; y(0) = 0, y'(0) = 3, y₁ (t) = 1, y₂(t)=t, y3(t)=e-²t 5. ty" + 3y"=0, t>0; y₂(t) =t, y₁ (t) = 1, 6. ty" + ty" - y = 0, Exercises 7-10: y"(0) = 3 y₁ (t) = 1, y₂ (t) = ln(-t), y(2) = 1, y' (2)=-, y3(t) = t¹3.00 WOH y'(0) = -4, y" (0) = 8 y4 (t) = sin 2t 03 ol y" (0) = -8 y" (2) = sorod sepgil ba t<0; y(-1) = 1, y'(-1) = -1, y'(-1) = y3 (t) = t² Consider the given differential equation on the interval -∞<t<∞.. members of a solution set satisfy the initial conditions. Do the solution mental set? 7. y" + 2ty +1²y = 0, y₁ (1)=2, ₁(1) = -1, 3₂(1) = -4, y/2(1) (0) CO
S
only if the determinant of A is nonzero.
• PROOF: We prove Theorem 3.9 for the case n = 2. Since (y₁, y2) is a
damental set, we can express y₁ and 2 as linear combinations of y, and y2
y₁ = a11y1 + a21Y2
2 = a121 + a2232
or [1,2] [Y₁, Y₂]
Since the equation [₁,2] = [y₁, y2lA holds for all t in (a, b), we can different
it and obtain the matrix equation
V₁ V2
[₁₂]
1. y"" = 0;
=
y₁ (t) = 2,
31 32
[V₁ Y2]
[a₁1 912)
a21 a22
Using the fact that the determinant of the product of two matrices is the pro
of their determinants, we have
= [y₁, y2]A.
A.
W(t) = W(t) det(A),
1:
where W (t) and W(t) denote the Wronskians of {₁, 2} and {y₁, y2), respecti
Since W (t) #0 on (a, b), it follows that W(t) # 0 if and only if det(A) # 0.
Exercises 1-6:
In each exercise,
(a) Verify that the given functions form a fundamental set of solutions.
(b) Solve the initial value problem.
y(1) = 4, y'(1) = 2, y" (1) = 0
y₂(t) = t-1, y3(t) = t² - 1
Transcribed Image Text:S only if the determinant of A is nonzero. • PROOF: We prove Theorem 3.9 for the case n = 2. Since (y₁, y2) is a damental set, we can express y₁ and 2 as linear combinations of y, and y2 y₁ = a11y1 + a21Y2 2 = a121 + a2232 or [1,2] [Y₁, Y₂] Since the equation [₁,2] = [y₁, y2lA holds for all t in (a, b), we can different it and obtain the matrix equation V₁ V2 [₁₂] 1. y"" = 0; = y₁ (t) = 2, 31 32 [V₁ Y2] [a₁1 912) a21 a22 Using the fact that the determinant of the product of two matrices is the pro of their determinants, we have = [y₁, y2]A. A. W(t) = W(t) det(A), 1: where W (t) and W(t) denote the Wronskians of {₁, 2} and {y₁, y2), respecti Since W (t) #0 on (a, b), it follows that W(t) # 0 if and only if det(A) # 0. Exercises 1-6: In each exercise, (a) Verify that the given functions form a fundamental set of solutions. (b) Solve the initial value problem. y(1) = 4, y'(1) = 2, y" (1) = 0 y₂(t) = t-1, y3(t) = t² - 1
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