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Oct 6, 2016 at 23:19 answer added Nawaf Bou-Rabee timeline score: 3
Oct 5, 2016 at 1:59 comment added Nawaf Bou-Rabee @IlyaBogdanov: so this projector obliquely projects onto the kernel of A along the image of A. That makes perfect sense now. Thanks!
Oct 4, 2016 at 14:58 comment added Ilya Bogdanov @NawafBou-Rabee: the projector is $\left[\begin{matrix}0& -1\\0& 1\end{matrix}\right]$: it maps $(1,0)^T$ to $0$, but $(1,-1)^T$ to itself. The result is thus $\left[\begin{matrix}1& 0\\0& 1\end{matrix}\right]$.
Oct 4, 2016 at 14:08 comment added Nawaf Bou-Rabee @IlyaBogdanov can you specify your B for the 2x2 example from my previous comment?
S Oct 3, 2016 at 12:44 history suggested Rodrigo de Azevedo CC BY-SA 3.0
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Oct 3, 2016 at 12:32 review Suggested edits
S Oct 3, 2016 at 12:44
Oct 2, 2016 at 8:13 comment added Ilya Bogdanov @Nawai: My projector is not orthogonal: it is along $\mathop{\rm Im} A$, so all the vectors in the image are mapped to zero.
Oct 1, 2016 at 21:14 review Close votes
Oct 1, 2016 at 22:24
Oct 1, 2016 at 20:13 comment added Nawaf Bou-Rabee Ilya: the matrix $A$ is not necessarily orthogonally diagonalizable. Consider, e.g., $A = \begin{bmatrix} 1 & 1 \\ 0 & 0 \end{bmatrix}$, which is perfectly diagonalizable with null space in the anti-diagonal direction; Yet, you can check that $B = A + \text{Proj}_{N(A)}$ no longer has the eigenvector $(1,0)^T$ of $A$, since $(1,0)^T$ has a component in the anti-diagonal direction.
Oct 1, 2016 at 19:35 comment added Julian Rosen Let $f(T)$ be the characteristic polynomial of $A$ with all the factors of $T$ divided out, and take $B=A+f(A)$.
Oct 1, 2016 at 18:58 comment added Ilya Bogdanov Add the projector onto $\mathop{\rm Ker} A$ along $\mathop{\rm Im} A$...
Oct 1, 2016 at 17:55 history edited Dudi Frid CC BY-SA 3.0
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Oct 1, 2016 at 17:29 review First posts
Oct 1, 2016 at 17:30
Oct 1, 2016 at 17:25 history asked Dudi Frid CC BY-SA 3.0