If A is linear transformation of rank one, then there exists a unique scalar \(\alpha\) such that \(A^2= \alpha A\) b) If \(\alpha\neq1\), then 1- A is invertible Please, help
Please, I do not know how to start. I have a formula: Ax = [x,y0]x0 but I don't know how to use it. hihihi... stupid me!!
Well, if it has rank 1, then all the rows are scalar multiples of the first row. So if we apply the linear transformation to a vector \((x_1,...,x_n)^T\), then we get\[A(x_1,...,x_n)^T=(a,a_2\cdot a,...,a_n\cdot a)^T\]for some constants \(a_2,...,a_n\). Applying the transformation again, we get\[A(a,a_2\cdot a,...,a_n\cdot a)^T=(b,a_2\cdot b,...,a_n\cdot b)^T.\]Let \(b=\alpha a\). Then we have the relations\[A^2(x_1,...,x_n)^T=(\alpha a,a_2\cdot \alpha a,...,a_n\cdot \alpha a)^T=\alpha(a,a_2\cdot a,...,a_n\cdot a)^T.\]This last bit is exactly \(A(x_1,...,x_n)^T\), so \(A^2=\alpha A\) for some constant \(\alpha\).
Typo. The last line should read: This last bit is exactly \(\alpha A(x_1,...,x_n)^T\), so \(A^2=\alpha A\) for some constant \(\alpha\).
I am sorry, I don't get the first equation A is linear transformation, let say defined by [A] = (a_ij) how you get the right hand side?
Let \(a_{11},...,a_{1n}\) be the first row of the matrix. Then we can say that \[a_{11}x_1+...+a_{1n}x_n=a.\]Since the rows are all multiples of the first row, let the \(i\)-th row be \(a_i\) times the first row. So the \(i\)-th row is \(a_ia_{11},...,a_ia_{1n}\). Thus, \[a_ia_{11}x_1+...+a_ia_{1n}x_n=a_ia\]
Thanks so much, I got it now. Please, give me a hint for b)
I'm not actually sure about part b myself right now.
No worry, I still have time for this problem. :)
Have you done anything with eigenvalues/eigenvectors?
In any case, since \(A^2=\alpha A\), it must be that \(A\vec{x}=\alpha\vec{x}\) for any vector \(\vec{x}\). Also, we know that \(I-A\) is NOT invertible if and only if \(\det(I-A)=0\) if and only if there is some non-zero vector \(\vec{x}\) such that \[\vec{0}=(I-A)\vec{x}=I\vec{x}-A\vec{x}=\vec{x}-\alpha\vec{x}=(1-\alpha)\vec{x}.\]Since \(\vec{x}\) is non-zero, the rightmost term is zero if and only if \(\alpha=1\). So it follows that \(I-A\) is not invertible if and only if \(\alpha=1\), and therefore if \(\alpha\neq1\), then \(I-A\) must be invertible.
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