Prove of linearly dependency of rows in matrices

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The discussion revolves around proving that if the rows of matrix A are linearly dependent, then the rows of the product AB are also linearly dependent. Participants analyze the structure of matrices A and B, noting that the rows of A are multiples of each other, which indicates linear dependence. They explore the role of the determinant in establishing linear dependence, suggesting that if the determinant of A is zero, then the rows of AB must also be dependent. The conversation emphasizes that even if A and B are non-square matrices, the relationship still holds true. The conclusion is that the linear dependence of rows in A guarantees the same for the rows in AB.
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Homework Statement



If the rows of A are linearly dependent, prove that the rows of AB are also linearly dependent.

The Attempt at a Solution



A = \begin{pmatrix}a&-a\\b&-b\end{pmatrix} the rows are linearly dependent because a - a = 0 and b - b = 0.

B = \begin{pmatrix}c_1&c_2\\c_3&c_4\end{pmatrix}

ThenAB = \begin{pmatrix}a(c_1-c_3)&a(c_2-c_4)\\b(c_1-c_3)&b(c_2-c_4)\end{pmatrix} \; where\; c_1 \neq c_3\; and\; c_2 \neq c_4

But then wouldn't these rows now be linearly independent? Unless c_1 - c_3 = -(c_2 - c_4)

Thanks for any help.
 
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can you show dependence (or the opposite?) by saying that the det(AB) ≠ 0 ?

i don't have my materials in front of me to check to see which is true. . .
 
Highway said:
can you show dependence (or the opposite?) by saying that the det(AB) ≠ 0 ?

i don't have my materials in front of me to check to see which is true. . .

Yeah I thought about going that route but it's asking for the rows not the matrix being linearly dependent. At least that's what I hope I'm understanding of this question.
 
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so i guess show that the rows are multiples of each other. . .
 
That paragraph actually does help me a lot because the determinant can be used to prove columns of the matrix are linearly dependent and then that paragraph states if the rows are dependent then so are the columns. I would assume that the inverse is also true to help my case. I calculated the determinant and it was 0.

Thanks for your help.
 
DrummingAtom said:
That paragraph actually does help me a lot because the determinant can be used to prove columns of the matrix are linearly dependent and then that paragraph states if the rows are dependent then so are the columns. I would assume that the inverse is also true to help my case. I calculated the determinant and it was 0.

Thanks for your help.

Yes, you can use the determinant for this. A matrix has nonzero determinant if and only if the set of row vectors and the set of column vectors form linearly independent sets. Assuming you have proved (or it has been stated) in class
\det{A}\det{B}=\det{AB}, I would recommend you take this route.
 
Theorem. said:
Yes, you can use the determinant for this. A matrix has nonzero determinant if and only if the set of row vectors and the set of column vectors form linearly independent sets. Assuming you have proved (or it has been stated) in class
\det{A}\det{B}=\det{AB}, I would recommend you take this route.

In general, A, B and AB may be non-square and so not have determinants. Nevertheless the stated result is still true. In fact, it is pretty easy, but I'll leave you to have the fun of doing it.

RGV
 
DrummingAtom said:

Homework Statement



If the rows of A are linearly dependent, prove that the rows of AB are also linearly dependent.


The Attempt at a Solution



A = \begin{pmatrix}a&-a\\b&-b\end{pmatrix} the rows are linearly dependent because a - a = 0 and b - b = 0.
?
Are you given that A and B are 2x2 matrices? If so, for the rows of a 2x2 matrix to be dependent, they must be multiples of each other. In the matrix you show, the first row is a multiple of <1, -1>. The second row is also a multiple of <1, -1>.
DrummingAtom said:
B = \begin{pmatrix}c_1&amp;c_2\\c_3&amp;c_4\end{pmatrix}

ThenAB = \begin{pmatrix}a(c_1-c_3)&amp;a(c_2-c_4)\\b(c_1-c_3)&amp;b(c_2-c_4)\end{pmatrix} \; where\; c_1 \neq c_3\; and\; c_2 \neq c_4

But then wouldn't these rows now be linearly independent? Unless c_1 - c_3 = -(c_2 - c_4)

Thanks for any help.
 

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