Find all equilibria of the given nonlinear system of differential equations, construct the linear approximating system near each equilibrium, identify the type of each equilibrium, and determine whether each equilibrium is stable, asymptotically stable, or unstable with respect to the nonlinear system. (4-1₁-I₂)F₁, −1²+1²+3, (a) (b) dx₁ dt dz₁ dt = dx₂ dt dx2 dt =(−2+x₁)x₂ = −11+ 2x₂ [45] (a) Three equilibria: (1₁, 12) = (0,0), (I₁, I₂) = (4,0), and (T₁, 1₂) = (2,2). The linear approximating system near (0,0): 0 |- [6 = ][₂] The equilibrium (0,0) is a saddle and is unstable. The linear approximating system near (4,0): 3-6 111 0 2 I2 I 0-2 The equilibrium (2, 1) is a saddle and is unstable. The linear -4 The equilibrium (4,0) is a saddle and is unstable. The linear approximating system near (2,2): [1] [3]-[2 = 3][ The equilibrium (2,2) is an attractive spiral focus and is asymptotically stable. (b) Two equilibria: (₁, ₂) = (2, 1) and (£₁, 1₂) = (-2,-1). -4 2 The linear approximating system near (2,1): [2] = [ 4-316-1 -1 2 -2 -2 IL- 1₂-2 -2 2][22+1]. I₂+1 4 approximating system near (-2,-1): [2] - [ = 2 The equilibrium (-2,-1) is a repulsive improper node and is unstable.

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
icon
Related questions
Question

solution provided by instructor for practice therefore not graded work

[45] Find all equilibria of the given nonlinear system of differential equations, construct the
linear approximating system near each equilibrium, identify the type of each equilibrium,
and determine whether each equilibrium is stable, asymptotically stable, or unstable with
respect to the nonlinear system.
(a)
(b)
dx₁
dt
dx₁
dt
-
=
(4- x₁-x₂)x₁,
-x²+x² +3,
dx2
dt
dx2
dt
=(−2+x₁)x₂
=−x1 + 2x₂
[45] (a) Three equilibria: (1, 2) = (0,0), (1, 2) = (4,0), and (₁,₂)=(2, 2).
4
I
22][2]
The linear approximating system near (0,0): [4]
The equilibrium (0,0) is a saddle and is unstable.
The linear approximating system near (4,0): [1]
=
=
-4
=
0
-4
I[¹].
2
The equilibrium (4,0) is a saddle and is unstable.
The linear approximating system near (2, 2): [1]
-2
-2
2-2
The equilibrium (2, 2) is an attractive spiral focus and is asymptotically stable.
(b) Two equilibria: (₁, ₂) = (2, 1) and (₁, ₂) = (-2,-1).
anattractive para (233)
[2] = []
The linear approximating system near (2,1):
The equilibrium (2, 1) is a saddle and is unstable.
The linear approximating system near (-2,-1):
-4 2]
I1
2 I₂
2
-2
+2
[14]-[4 363
=
12
2
The equilibrium (-2, -1) is a repulsive improper node and is unstable.
Transcribed Image Text:[45] Find all equilibria of the given nonlinear system of differential equations, construct the linear approximating system near each equilibrium, identify the type of each equilibrium, and determine whether each equilibrium is stable, asymptotically stable, or unstable with respect to the nonlinear system. (a) (b) dx₁ dt dx₁ dt - = (4- x₁-x₂)x₁, -x²+x² +3, dx2 dt dx2 dt =(−2+x₁)x₂ =−x1 + 2x₂ [45] (a) Three equilibria: (1, 2) = (0,0), (1, 2) = (4,0), and (₁,₂)=(2, 2). 4 I 22][2] The linear approximating system near (0,0): [4] The equilibrium (0,0) is a saddle and is unstable. The linear approximating system near (4,0): [1] = = -4 = 0 -4 I[¹]. 2 The equilibrium (4,0) is a saddle and is unstable. The linear approximating system near (2, 2): [1] -2 -2 2-2 The equilibrium (2, 2) is an attractive spiral focus and is asymptotically stable. (b) Two equilibria: (₁, ₂) = (2, 1) and (₁, ₂) = (-2,-1). anattractive para (233) [2] = [] The linear approximating system near (2,1): The equilibrium (2, 1) is a saddle and is unstable. The linear approximating system near (-2,-1): -4 2] I1 2 I₂ 2 -2 +2 [14]-[4 363 = 12 2 The equilibrium (-2, -1) is a repulsive improper node and is unstable.
Expert Solution
steps

Step by step

Solved in 4 steps with 3 images

Blurred answer
Recommended textbooks for you
Advanced Engineering Mathematics
Advanced Engineering Mathematics
Advanced Math
ISBN:
9780470458365
Author:
Erwin Kreyszig
Publisher:
Wiley, John & Sons, Incorporated
Numerical Methods for Engineers
Numerical Methods for Engineers
Advanced Math
ISBN:
9780073397924
Author:
Steven C. Chapra Dr., Raymond P. Canale
Publisher:
McGraw-Hill Education
Introductory Mathematics for Engineering Applicat…
Introductory Mathematics for Engineering Applicat…
Advanced Math
ISBN:
9781118141809
Author:
Nathan Klingbeil
Publisher:
WILEY
Mathematics For Machine Technology
Mathematics For Machine Technology
Advanced Math
ISBN:
9781337798310
Author:
Peterson, John.
Publisher:
Cengage Learning,
Basic Technical Mathematics
Basic Technical Mathematics
Advanced Math
ISBN:
9780134437705
Author:
Washington
Publisher:
PEARSON
Topology
Topology
Advanced Math
ISBN:
9780134689517
Author:
Munkres, James R.
Publisher:
Pearson,