Another method? - Matrix & Linear Independence

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SUMMARY

The discussion centers on the linear dependence of the row vectors in a 7 × 4 matrix, A. It is established that the row vectors are linearly dependent because the rank of the matrix is at most 4, while there are 7 rows. A counterexample is provided to illustrate that not all 7 × 4 matrices have a rank of 4, specifically highlighting a matrix filled with identical rows, which has a rank of 1. Thus, the conclusion is that any set of more than 4 vectors in R4 must be dependent.

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RajdeepSingh7
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Question :
Let A be a 7 × 4 matrix. Show that the set of rows of A is linearly dependent.



Answer:
The row vectors of a matrix are linearly independent if and only if the rank of the matrix is equal to the number of rows in the matrix.
Since rank (A) = 4 , and the number of rows in the matrix is 7, the row vectors are linearly dependent.



I am sure that my answer is right, but I was considering or wondering if there was an alternative method, because the actual answer is worth 4 marks, so was wondering if there was a more mathematical sound proof possible to prove the answer?
 
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The rows of a 7 by 4 matrix are members of R4 which has dimension 4- any set of more than 4 vectors must be dependent.

Your basic statement that a 7 by 4 matrix has rank 4 is NOT correct. The matrix
\begin{bmatrix}1& 1 & 1 & 1\\1& 1 & 1 & 1 \\1& 1 & 1 & 1 \\1& 1 & 1 & 1 \\1& 1 & 1 & 1 \\1& 1 & 1 & 1 \\1& 1 & 1 & 1 \\1& 1 & 1 & 1 \end{bmatrix}
does not have rank 4.
 

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