MATH 308 Lecture 34

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Lecture Notes


Section 7.8

To solve a system with 1 eigenvalue with multiplicity 2:

Find space of eigenvectors for eigenvalue λ.

If there are two linearly independent eigenvectors v1 and v2, then

X1=eλtv1 and X2=eλtv2

are two linearly independent solutions

If there is no pair of linearly independent eigenvectors, find an eigenvector v1, and then find a second (generalized) eigenvector satisfying

(AλI)v2=v1

Then

X1=eλtv1 and X2=eλt(tv1+v2)

Exercise 2

Find general solution to X=[4284]X.

Eigenvalues: λ{0,0}

Eigenvectors: V=[12]

Therefore, the only solution we have so far is X1=e0t[12]=[12]

Let's find another solution in the form

X2=te0t[12]+e0tv2

Where

v1=[12]=(A0I)v2

We find v2=[12α+12α]

Let α=1, and we get the vector v2=[11]

Therefore, X2=t[12]+[11]

and the general solution is

X=c1[12]+c2(t[12]+[11])

Note: We could have taken any value for α. The resulting general solution will look different, but the constants c1 and c2 will change to compensate.

Exercise 3

Find particular solution to initioal value problem X=[1447]X, where X(0)=[32]

Eigenvalues: λ{3,3}

Eigenvector: v1=1,1

Solve (A+3I)v2=1,1 for v2=14+α,α

Let α=34, then v2=1,34

Therefore, our general solution is

X=c1e3t[11]+c2e3t(t[11]+[134])

Plug in t=0 and solve for c:

[32]=c1[11]+c2[134]

c=1,4

So our particular solution is

X=1e3t[11]+4e3t(t[11]+[134])