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 v→1 and v→2, then

X1=eλtv→1 and X2=eλtv→2

are two linearly independent solutions

If there is no pair of linearly independent eigenvectors, find an eigenvector v→1, and then find a second (generalized) eigenvector satisfying

(A−λI)v→2=v→1

Then

X1=eλtv→1 and X2=eλt(tv→1+v→2)

Exercise 2

Find general solution to X′=[4−28−4]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]+e0tv→2

Where

v→1=[12]=(A−0I)v→2

We find v→2=[12α+12α]

Let α=1, and we get the vector v→2=[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′=[1−44−7]X, where X(0)=[32]

Eigenvalues: λ∈{−3,−3}

Eigenvector: v→1=⟨1,1⟩

Solve (A+3I)v→2=⟨1,1⟩ for v2=⟨14+α,α⟩

Let α=34, then v→2=⟨1,34⟩

Therefore, our general solution is

X=c1e−3t[11]+c2e−3t(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=−1e−3t[11]+4e−3t(t[11]+[134])