Skip to main content

Timeline for Solve for $A$ and $B$ in $AXB=Y$

Current License: CC BY-SA 3.0

10 events
when toggle format what by license comment
May 15, 2013 at 8:51 comment added Tom @ Peter. I was never claiming that I could solve the actual question. In fact, I stated that I can't. I said in the second line that I can give a linear polynomial (in an answer as I haven't got enough rep for commenting) and was then asked to elaborate which I did.
May 15, 2013 at 5:29 comment added Peter Michor @Tom: Your last example is a sum of matrix products, not one product. Note that the rank of $AXB$ is $\le$ the minimum of the ranks, since it is the dimension of the image.
May 14, 2013 at 20:07 comment added Tom I guess we are not on the same page. But, if I take $X$ to be a non-zero number -denoted by $x$- and $Y$ to be $x \cdot I_n$, then there is a solution, although $x$ has rank 1 and $Y$ rank n. Indeed, denoting by $e_i$ the i-th basis vector we have $$Y=\sum_i e_i \cdot x \cdot e_i^t=\sum_i x \cdot e_i \cdot e_i^t.$$ I hope haven't made new mistakes now.
May 14, 2013 at 13:05 comment added Tom I have to admit that I am puzzled now. Peter, could you be so kind to give a short example ? Furthermore, wouldn't that make your comment the desired answer ? btw I just clarified the notation above.
May 14, 2013 at 12:59 history edited Tom CC BY-SA 3.0
clarified what x_{ij} means
May 14, 2013 at 12:13 comment added Peter Michor If (after evaluating $x_1,\dots,x_r$ at some points in $\mathbb Z$ or $\mathbb R$) the rank of $X$ is smaller than the rank of $Y$ there can be no solution. So there is a gap in your proof.
May 13, 2013 at 18:50 history edited Emil Jeřábek CC BY-SA 3.0
fix markup
May 13, 2013 at 17:52 history edited Tom CC BY-SA 3.0
I elaborated as asked for
May 11, 2013 at 5:47 comment added Turbo Could you elaborate?
May 9, 2013 at 14:16 history answered Tom CC BY-SA 3.0