If I have a product of matrices of rank 1, the product is not going to have rank greater than 1. why?
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Hint: Think about it in terms of compositions of linear transformations. – Dec 01 '16 at 18:39
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1What's your preferred definition of rank? – Ben Grossmann Dec 01 '16 at 18:40
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@Crostul : Proper notation is $\operatorname{rank} AB \le \operatorname{rank} A,$ coded with \operatorname{rank}. That does not only de-italicize the letters, but also results in proper spacing in things like $a\operatorname{rank} b$ and $a\operatorname{rank}(b)$ (where you'll notice that the space to the right of "rank" in the second example is smaller than it is in the first, i.e. it depends on the context). (With some standard operatornames like \det, \sin, \max, \lim etc., just use the backslash.) – Michael Hardy Dec 01 '16 at 18:42
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Consider two matrices $A,B$ with rank one. Then the image of $B$ has rank one. Now $A$ (when you do the product $AB$) can be considered as acting on an $1$-dimensional subspace. So its image has at most rank one.

mfl
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Because if the matrix $B$ has rank one then the image of the linear map associated to $B$ has at most dimension one. – mfl Dec 01 '16 at 19:05