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Coordinated Differential Equations

Section 5.4 Complex Eigenvalues

Consider the following system,
(5.4.1)(dx/dtdy/dt)=(βˆ’31βˆ’2βˆ’1)(xy)
The characteristic polynomial of the system (5.4.1) is Ξ»2+4Ξ»+5. The roots of this polynomial are Ξ»1=βˆ’2+i and Ξ»2=βˆ’2βˆ’i with eigenvectors v1=(1,1+i) and v2=(1,1βˆ’i), respectively. It is clear from the phase portrait of the system that there are no straight-line solutions (Figure 5.4.1). However, we would like to have real solutions for a linear system with real coefficients.
described in detail following the image
a direction field of slope arrows with a solution curve approaching the origin and no straight-line solutions
Figure 5.4.1. A system with no straight-line solutions

Subsection 5.4.1 Complex Eigenvalues

Suppose that we have the system
(dx/dtdy/dt)=(0Ξ²βˆ’Ξ²0)(xy)=A(xy),
where Ξ²β‰ 0. The characteristic polynomial of this system is det(Aβˆ’Ξ»I)=Ξ»2+Ξ²2, and so we have imaginary eigenvalues Β±iΞ². To find the eigenvector corresponding to Ξ»=iΞ², we must solve the system
(βˆ’iΞ²Ξ²βˆ’Ξ²βˆ’iΞ²)(xy)=(00);
however, this reduces to solving the equation iΞ²x=Ξ²y. Thus, we can find a complex eigenvector (1,i). Consequently,
x(t)=eiΞ²t(1i)
is a complex solution to the system xβ€²=Ax. The problem is that we have a real system of differential equations and would like real solutions. We can remedy the situation if we use Euler’s formula,
 1 
If you are unfamiliar with Euler’s formula, try expanding both sides as a power series to check that we do indeed have a correct identity.
eiβt=cos⁑βt+isin⁑βt.
Let us rewrite our solution as
x(t)=eiΞ²t(1i)=(cos⁑βt+isin⁑βti(cos⁑βt+isin⁑βt))=(cos⁑βt+isin⁑βtβˆ’sin⁑βt+icos⁑βt)=(cos⁑βtβˆ’sin⁑βt)+i(sin⁑βtcos⁑βt)
and consider the real and imaginary parts of the solution:
xRe=(cos⁑βtβˆ’sin⁑βt)andxIm=(sin⁑βtcos⁑βt).
xReβ€²(t)+ixImβ€²(t)=xβ€²(t)=Ax(t)=A(xRe(t)+ixIm(t))=AxRe(t)+iAxIm(t).
we know that xReβ€²(t)=AxRe(t) and xImβ€²(t)=AxIm(t) by setting the real and imaginary parts equal. Thus, both xRe(t) and xIm(t) are solutions to our system. Moreover, since
xRe(0)=(10) and xIm(0)=(01),
we know that the appropriate linear combination of xRe(t) and xIm(t) will provide a solution to any initial value problem.
We claim that
(5.4.2)x(t)=c1xRe(t)+c2xIm(t)
is a general solution to our system. That is, we must be able to write every solution of our system as a linear combination of xRe(t) and xIm(t). If
y(t)=(u(t)v(t))
is another solution to the system xβ€²=Ax, then
yβ€²(t)=(uβ€²(t)vβ€²(t))=(0Ξ²βˆ’Ξ²0)(u(t)v(t))=(Ξ²v(t)βˆ’Ξ²u(t)).
In other words, uβ€²(t)=Ξ²v(t) and vβ€²(t)=βˆ’Ξ²u(t). Now, define f by
f(t)=(u(t)+iv(t))eiΞ²t.
The derivative of f is
fβ€²(t)=(uβ€²(t)+ivβ€²(t))eiΞ²t+iΞ²(u(t)+iv(t))eiΞ²t=(Ξ²v(t)βˆ’iΞ²u(t))eiΞ²t+(iΞ²u(t)+i2Ξ²v(t))eiΞ²t=0.
Therefore, f(t) is a complex constant and f(t)=(u(t)+iv(t))eiΞ²t=a+bi. We can now write u(t)+iv(t)=(a+ib)eβˆ’iΞ²t. Thus,
u(t)+iv(t)=(a+ib)eβˆ’iΞ²t=(a+ib)(cos⁑βtβˆ’isin⁑βt)=(acos⁑βt+bsin⁑βt)+i(bcos⁑βtβˆ’asin⁑βt).
Therefore,
u(t)=acos⁑βt+bsin⁑βtv(t)=bcos⁑βtβˆ’asin⁑βt.
Consequently,
(u(t)v(t))=(acos⁑βt+bsin⁑βtbcos⁑βtβˆ’asin⁑βt)=a(cos⁑βtβˆ’sin⁑βt)+b(sin⁑βtcos⁑βt)=axRe(t)+bxIm(t).
Notice that the solutions
x(t)=c1(cos⁑βtβˆ’sin⁑βt)+c2(sin⁑βtcos⁑βt)
are periodic with period 2Ο€/Ξ². This type of system is called a center.

Example 5.4.2.

Consider the initial value problem
dxdt=2ydydt=βˆ’2xx(0)=1y(0)=2.
The eigenvalues of this system are Ξ»=Β±2i. Therefore, the general solution to the system is
x(t)=c1cos⁑2t+c2sin⁑2ty(t)=βˆ’c1sin⁑2t+c2cos⁑2t.
Using the initial conditions to solve for c1 and c2, the solution to our initial value problem is
x(t)=cos⁑2t+2sin⁑2ty(t)=βˆ’sin⁑2t+2cos⁑2t.
The phase portrait is a circle of radius 2 about the origin (Figure 5.4.3).
described in detail following the image
a direction field of slope arrows and a solution curve that is a circle
Figure 5.4.3. Phase portrait for a center

Subsection 5.4.2 Spiral Sinks and Sources

Now let us consider the system xβ€²=Ax, where
A=(Ξ±Ξ²βˆ’Ξ²Ξ±)
and Ξ± and Ξ² are nonzero real numbers. The characteristic equation of A is
Ξ»2βˆ’2Ξ±Ξ»+(Ξ±2+Ξ²2)=0,
so the eigenvalues are Ξ»=Ξ±Β±iΞ². We can use the equation
(Ξ±βˆ’(Ξ±+iΞ²))x+Ξ²y=0
to show that (1,i) is an eigenvector for Ξ±+iΞ². Therefore, we have a complex solution of the form
x(t)=e(Ξ±+iΞ²)t(1i)=eΞ±t(cos⁑βtβˆ’sin⁑βt)+ieΞ±t(sin⁑βtcos⁑βt)=xRe(t)+ixIm(t).
As before, both
xRe(t)=eΞ±t(cos⁑βtβˆ’sin⁑βt)andxIm(t)=eΞ±t(sin⁑βtcos⁑βt)
are real solutions to xβ€²=Ax. Furthermore, these solutions are linearly independent. Indeed, xRe cannot be a multiple of xIm for all values of t. Thus, we have the general solution
x(t)=c1eΞ±t(cos⁑βtβˆ’sin⁑βt)+c2eΞ±t(sin⁑βtcos⁑βt).
The eΞ±t factor tells us that the solutions either spiral into the origin if Ξ±<0 or spiral out to infinity if Ξ±>0. In this case we say that the equilibrium points are spiral sinks and spiral sources, respectively.

Example 5.4.4.

Consider the initial value problem
dxdt=βˆ’x/10+ydydt=βˆ’xβˆ’y/10x(0)=2y(0)=2.
The matrix
(βˆ’1/101βˆ’1βˆ’1/10)
has eigenvalues Ξ»=βˆ’1/10Β±i. The eigenvalue Ξ»=βˆ’1/10+i has an eigenvector v=(1,i). The complex solution of our system is
x(t)=e(βˆ’1/10+i)t(1i)=eβˆ’t/10eit(1i)=eβˆ’t/10(cos⁑t+isin⁑t)(1i)=eβˆ’t/10(cos⁑t+isin⁑tβˆ’sin⁑t+icos⁑t)=eβˆ’t/10(cos⁑tβˆ’sin⁑t)+ieβˆ’t/10(sin⁑tcos⁑t)
The real and imaginary parts of this solution are
xRe(t)=eβˆ’t/10(cos⁑tβˆ’sin⁑t)andxIm(t)=eβˆ’t/10(sin⁑tcos⁑t),
respectively. Thus, we have the general solution
x(t)=c1eβˆ’t/10(cos⁑tβˆ’sin⁑t)+c2eβˆ’t/10(sin⁑tcos⁑t).
Applying our initial conditions, we can determine that c1=2 and c2=2; hence, the solution to our initial value problem is
x(t)=2eβˆ’t/10(cos⁑t+sin⁑tcos⁑tβˆ’sin⁑t).
The phase portrait of this solution indicates that we do indeed have a spiral sink (Figure 5.4.5).
described in detail following the image
a direction field of slope arrows and a solution curve that spirals towards the origin
Figure 5.4.5. Phase portrait for a spiral sink

Example 5.4.6.

The initial value problem
dxdt=x/10+ydydt=βˆ’x+y/10x(0)=0y(0)=1/2.
The matrix
(1/101βˆ’11/10)
has an eigenvector (1,βˆ’i) with eigenvalue Ξ»=1/10βˆ’i. Thus, the complex solution is
x(t)=e(1/10βˆ’i)t(1βˆ’i).
Following the procedure that we used in the previous example, the solution to our initial value problem is
x(t)=12et/10(sin⁑tcos⁑t),
and the phase portrait is a spiral source (Figure 5.4.7).
described in detail following the image
a direction field of slope arrows with a solution curve that spirals out from the origin
Figure 5.4.7. Phase portrait for a spiral source

Activity 5.4.1. Systems with Complex Eigenvalues.

Consider the system dx/dt=Ax, where
A=(74βˆ’47)
(b)
Find eigenvectors, v and v― for the eigenvalues Ξ» and λ―, respectively.
(e)
Is the origin a spiral source or a spiral sink? Sketch a solution curve in the xy-plane.

Subsection 5.4.3 Solving Systems with Complex Eigenvalues

Suppose that we have the linear system xβ€²=Ax, where
A=(abcd).
The characteristic polynomial of A is
p(Ξ»)=Ξ»2βˆ’(a+d)Ξ»+(adβˆ’bc).
If (a+d)2βˆ’4(adβˆ’bc)<0, then the eigenvalues of A are complex, and we cannot apply the strategy that we used to determine the general solution in the case of distinct real roots.

Example 5.4.8.

The system xβ€²=Ax, where
A=(βˆ’1βˆ’243).
The characteristic polynomial of A is Ξ»2βˆ’2Ξ»+5 and so the eigenvalues are complex conjugates, Ξ»=1+2i and λ―=1βˆ’2i. It is easy to show that an eigenvector for Ξ»=1+2i is v=(1,βˆ’1βˆ’i). Recalling that eiΞΈ=cos⁑θ+isin⁑θ,
x(t)=e(1+2i)tv=e(1+2i)t(1βˆ’1βˆ’i)=ete2it(1βˆ’1βˆ’i)=et(cos⁑2t+isin⁑2t)(1βˆ’1βˆ’i)=et(cos⁑2t+isin⁑2t(βˆ’1βˆ’i)(cos⁑2t+isin⁑2t))=et(cos⁑2t+isin⁑2t(βˆ’cos⁑2t+sin⁑2t)+i(βˆ’cos⁑2tβˆ’sin⁑2t))=et(cos⁑2tβˆ’cos⁑2t+sin⁑2t)+iet(sin⁑2tβˆ’cos⁑2tβˆ’sin⁑2t)
is a complex solution to our system. Taking the real and imaginary parts of this solution, we obtain the general solution to our system
x(t)=c1et(cos⁑2tβˆ’cos⁑2t+sin⁑2t)+c2et(sin⁑2tβˆ’cos⁑2tβˆ’sin⁑2t).

Example 5.4.9.

Solve the following linear system with the given initial conditions, and sketch a phase portrait of the solution.
xβ€²=3xβˆ’2yyβ€²=13x+yx(0)=1y(0)=3
The characteristic polynomial of the associated matrix is (3βˆ’Ξ»)(1βˆ’Ξ»)+26, which gives eigenvalues 2Β±5i. Choosing eigenvalue 2+5i (we could have chosen either one) and subtracting this from the main diagonal of the associated matrix gives (1βˆ’5iβˆ’213βˆ’1βˆ’5i), so we have eigenvector (1+5i13). This gives a complex solution (ignoring initial conditions)
e(2+5i)t(1+5i13)
We can write e2+5i=e2t(cos⁑(5t)+isin⁑(5t)), so this solution equals
e2t(cos⁑(5t)+isin⁑(5t))(1+5i13)=e2t(cos⁑(5t)+5icos⁑(5t)+isin⁑(5t)βˆ’5sin⁑(5t)13cos⁑(5t)+13isin⁑(5t))
=e2t(cos⁑(5t)βˆ’5sin⁑(5t)13cos⁑(5t))+iβ‹…e2t(5cos⁑(5t)+sin⁑(5t)13sin⁑(5t))
So the set of all real solutions to the differential system (ignoring initial conditions) is
c1e2t(cos⁑(5t)βˆ’5sin⁑(5t)13cos⁑(5t))+c2e2t(5cos⁑(5t)+sin⁑(5t)13sin⁑(5t))
Plugging in t=0 and setting the top equal to the initial x value, the bottom equal to the initial y value, we get the system
c1+5c2=113c1=3
This gives the solutions c1=313,c2=213; plugging these into the general equation gives the solution
e2t(cos⁑(5t)βˆ’sin⁑(5t)3cos⁑(5t)+2sin⁑(5t))
Now we are asked to draw a sketch of the solution. Since the real part of the eigenvalue (2) is positive, we have a spiral source. We also have to determine whether the spiral goes clockwise or counter-clockwise as we spiral out. The matrix associated to the equation is A=(3βˆ’2131). If we multiply this matrix by (10) we get (3βˆ’2131)β‹…(10) =(313). This means that at the point (1,0) a solution curve will be pointing toward the diretion (313), so we are spiraling counter-clockwise away from the origin. So we must draw a curve passing through (13) spiraling counter-clockwise outward.
described in detail following the image
This is the solution curve for our initial value problem.
Figure 5.4.10. Solution curve
The nature of the equilibrium solution is determined by the factor eΞ±t in the solution. If Ξ±<0, the equilibrium point is a spiral sink. If Ξ±>0, the equilibrium point is a spiral source. If Ξ±=0, the equilibrium point is a center.
Although we have outlined a procedure to find the general solution of xβ€²=Ax if A has complex eigenvalues, we have not shown that this method will work in all cases. We will do so in Section 6.1.

Activity 5.4.2. Planar Systems with Complex Eigenvalues.

Consider the system dx/dt=Ax, where
A=(7βˆ’410βˆ’5)
(b)
Find eigenvectors, v and v― for the eigenvalues Ξ» and λ―, respectively.
(e)
Is the origin a spiral source or a spiral sink? Sketch a solution curve in the xy-plane.

Subsection 5.4.4 Important Lessons

  • If
    A=(Ξ±Ξ²βˆ’Ξ²Ξ±),
    then A has two complex eigenvalues, Ξ»=Ξ±Β±iΞ². The general solution to the system xβ€²=Ax is
    x(t)=c1eΞ±t(cos⁑βtβˆ’sin⁑βt)+c2eΞ±t(sin⁑βtcos⁑βt).
    If Ξ±<0, the equilibrium point is a spiral sink. If Ξ±>0, the equilibrium point is a spiral source.

Reading Questions 5.4.5 Reading Questions

3.

For a 2Γ—2 linear system with complex eigenvalues, what are the three different possibilities for the phase plane of the system?

Exercises 5.4.6 Exercises

Solving Linear Systems with Complex Eigenvalues.

Find the general solution of each of the linear systems in Exercise Group 5.4.6.1–4.

Solving Initial Value Problems.

Solve each of the following linear systems for the given initial values in Exercise Group 5.4.6.5–8.