Are the columns linear independent?

AI Thread Summary
The discussion revolves around determining the linear independence of the columns of a given matrix A in row-reduced echelon form. The matrix shows that the first two columns are multiples of each other, suggesting linear dependence. A hint is provided to consider the solution set to A x = 0, which reinforces the concept of linear independence. The definition states that vectors are independent if the only solution to the equation is the trivial solution, which is not the case here. Therefore, the columns of matrix A are concluded to be linearly dependent.
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Homework Statement



Were the columns of A linearly independent?
The matrix A is given in row reduced echeleon form
1 2 0 0
0 0 1 0
0 0 0 1


Homework Equations


Hint: Consider the solution set to A x = 0


The Attempt at a Solution


I think that the colums were linearly dependent since the first two columns in their row reduced forms are multiple of each other. Is that correct? If yes, and my explanation seems logical, then why is the hint given?
 
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Perhaps they want you to see why "the first two columns in their row reduced forms are multiple of each other" implies that the columns of A are linearly dependent. In other words, the definition of linear independence says the vectors v1, v2, v3, and v4 are independent if the only solution of c1 v1+c2 v2+c3 v3+c4 v4=0 is c1=c2=c3=c4=0. How does what you said about the row-reduced matrix lead to the conclusion that the original columns of A are linearly dependent according to the definition above?
 
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