Is the book incorrect here? Systems of diff eqs.

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The discussion centers on the correctness of eigenvector calculations in a differential equations context, specifically regarding a coefficient matrix denoted as A. The original poster initially believes the textbook solution is incorrect due to discrepancies in the eigenvectors derived. However, it is clarified that the eigenvectors are indeed the same but represented as scalar multiples. The eigenvalues calculated are λ1 = 3 and λ2 = -1, with corresponding eigenvectors ε(λ1) = span{[1/2, 1]^t} and ε(λ2) = span{[-1/2, 1]^t}.

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Homework Statement



Here is the question from my book along with their solution to the problem :

Part 1 : http://gyazo.com/6467751155edcefec6cc583d164d2ae7
Part 2 : http://gyazo.com/d91752f0a18a72af96f6afc74117f011
Part 3 : http://gyazo.com/7a17dbca3e414d0ddc8458abce2eda9c

Homework Equations



I'll denote the coefficient matrix by the letter A.
I denote my null space operator by N.
t is the transpose of a vector.

The Attempt at a Solution



Now I'm almost positive the book is wrong here. Here's my solution.

Assume that x = εe^{λt} so our equation becomes :

λεe^{λt} = Aεe^{λt} \Rightarrow (A - λI)ε = 0

So we seek eigenvector(s) ε such that the above equation is satisfied. So let's find the eigenvalues for A ( I'll skip some of the boring algebra here ) :

det(A - λI) = (λ-3)(λ+1) Thus λ1 = 3 and λ2 = -1 are eigenvalues for A.

Now to find the eigenvectors for the eigenvalues, we seek the null space of A - λjI. So :

ε(λ_1) = N(A - 3I) = span\left\{{[1/2 \space \space 1]^t}\right\}

ε(λ_2) = N(A + I) = span\left\{{[-1/2 \space \space 1]^t}\right\}

See ^ for some reason I get different eigenvectors than the book does. Everything else that follows after this is exactly the same as the book except my eigenvectors.

Have I made an error somewhere? Or is the book wrong in this case? Some clarification on this would be greatly appreciated.

Thanks in advance.
 
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Zondrina said:

Homework Statement



Here is the question from my book along with their solution to the problem :

Part 1 : http://gyazo.com/6467751155edcefec6cc583d164d2ae7
Part 2 : http://gyazo.com/d91752f0a18a72af96f6afc74117f011
Part 3 : http://gyazo.com/7a17dbca3e414d0ddc8458abce2eda9c

Homework Equations



I'll denote the coefficient matrix by the letter A.
I denote my null space operator by N.
t is the transpose of a vector.

The Attempt at a Solution



Now I'm almost positive the book is wrong here. Here's my solution.

Assume that x = εe^{λt} so our equation becomes :

λεe^{λt} = Aεe^{λt} \Rightarrow (A - λI)ε = 0

So we seek eigenvector(s) ε such that the above equation is satisfied. So let's find the eigenvalues for A ( I'll skip some of the boring algebra here ) :

det(A - λI) = (λ-3)(λ+1) Thus λ1 = 3 and λ2 = -1 are eigenvalues for A.

Now to find the eigenvectors for the eigenvalues, we seek the null space of A - λjI. So :

ε(λ_1) = N(A - 3I) = span\left\{{[1/2 \space \space 1]^t}\right\}

ε(λ_2) = N(A + I) = span\left\{{[-1/2 \space \space 1]^t}\right\}

See ^ for some reason I get different eigenvectors than the book does. Everything else that follows after this is exactly the same as the book except my eigenvectors.

Have I made an error somewhere? Or is the book wrong in this case? Some clarification on this would be greatly appreciated.

Thanks in advance.

No, you are getting the same eigenvectors, but just scaled differently. Instead of <1/2,1> the book uses <1,2>, and instead of <-1/2,1> the book uses <1,-2>. Eigenvectors are, of course, not unique: any nonzero scalar multiple of an eigenvector is also an eigevector for the same eigenvalue.

RGV
 
Ray Vickson said:
No, you are getting the same eigenvectors, but just scaled differently. Instead of <1/2,1> the book uses <1,2>, and instead of <-1/2,1> the book uses <1,-2>. Eigenvectors are, of course, not unique: any nonzero scalar multiple of an eigenvector is also an eigevector for the same eigenvalue.

RGV

Ahh yes, I remember now. So multiply my first one by 2 and my second one by -2 to get the same answer as they have.

Thanks for clearing that up for me RGV.
 

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