The eigenvalues of the matrix A are given below. Match them to the appropriate phase portraits of the system X'(t) = = AX(t). X1,2 = -1, -2 X1,2 = 3, -1 X1,2 A₁,2 = ±i X1,2 1 3 0.8 0.6 0.4 0.2 -0.2 -0.4 -0.6 -0.8 -1 -1 A B C D -0.8 1 0.8 0.6 0.4 0.2 -0.2 -0.4 -0.6 -0.8 -1 -1 Phase Portrait -0.6 -0.4 -0.2 0 0.2 0.4 0.6 x(t) Phase Portrait = = ±2i -0.8 -0.6 -0.4 -0.2 0 x(t) 0.8 1 0.2 0.4 0.6 0.8 1 2 4 1 0.8 0.6 0.4 0.2 -0.2 -0.4 -0.6 -0.8 -1 -1 -0.8 -0.6 -0.4 0.8 0.6 0.4 0.2 -0.2 -0.4% -0.6 -0.8 -1 -1 -0.8 Phase Portrait -0.2 -0.6 -0.4 0.2 0.4 0.6 0 x(t) Phase Portrait -0.2 0 x(t) 0.2 0.4 0.8 0.6 1 0.8 1

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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The eigenvalues of the matrix A are given below. Match them
to the appropriate phase portraits of the system X'(t) = AX(t).
X1,2 = -1, -2
A1,2 3,-1
X1,2 = ±2i
A1,2 =
1
3
0.8
0.6
0.4
0.2
0
-0.2
-0.4
-0.6
-0.8
-1
-1
A
B
C
D
1
-0.8 -0.6 -0.4 -0.2 0
x(t)
0.8
0.6
0.4
0.2
0
-0.2
-0.4
-0.6
-0.8
-1
Phase Portrait
-1
Phase Portrait
-0.8 -0.6 -0.4 -0.2
0.2 0.4 0.6
=
0
x(t)
1/2
±i
0.8 1
0.2 0.4 0.6
0.8 1
2
4
0.8
0.6
0.4
0.2
-0.2
-0.4
-0.6
-0.8
-1
-1
-0.8 -0.6 -0.4
0.8
0.6
0.4
0.2
果。
-0.2
-0.4
-0.6'
-0.8
-1
-1
Phase Portrait
-0.2
0 0.2 0.4 0.6
x(t)
Phase Portrait
-0.8 -0.6 -0.4 -0.2
0
x(t)
0.2
0.4
0.8 1
0.6
0.8
1
Transcribed Image Text:The eigenvalues of the matrix A are given below. Match them to the appropriate phase portraits of the system X'(t) = AX(t). X1,2 = -1, -2 A1,2 3,-1 X1,2 = ±2i A1,2 = 1 3 0.8 0.6 0.4 0.2 0 -0.2 -0.4 -0.6 -0.8 -1 -1 A B C D 1 -0.8 -0.6 -0.4 -0.2 0 x(t) 0.8 0.6 0.4 0.2 0 -0.2 -0.4 -0.6 -0.8 -1 Phase Portrait -1 Phase Portrait -0.8 -0.6 -0.4 -0.2 0.2 0.4 0.6 = 0 x(t) 1/2 ±i 0.8 1 0.2 0.4 0.6 0.8 1 2 4 0.8 0.6 0.4 0.2 -0.2 -0.4 -0.6 -0.8 -1 -1 -0.8 -0.6 -0.4 0.8 0.6 0.4 0.2 果。 -0.2 -0.4 -0.6' -0.8 -1 -1 Phase Portrait -0.2 0 0.2 0.4 0.6 x(t) Phase Portrait -0.8 -0.6 -0.4 -0.2 0 x(t) 0.2 0.4 0.8 1 0.6 0.8 1
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