How does the distinctness of values in a matrix A affect its determinant?

In summary, the given equation has n solutions if and only if the given values a1, a2, ..., an are distinct. The determinant of matrix A must be zero for this to be true, which means that the rows (or columns) of A must be linearly dependent. This is only possible if the values a1, a2, ..., an are distinct from each other.
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Homework Statement


Let a1, a2, ..., an live in R. Prove that the equation

det [ A ] = 0

where A:
1 x x^2 ... x^n
1 a1 a1^2 ... a1^n
1 a2 a2^2 ... a2^n
. . . . .
. . . . .
. . . . .
1 an an^2 ... an^n

has exactly n solutions if and only if the a1, ..., an are distinct; i.e. ai=/=aj for all i=/=j


Homework Equations


None


The Attempt at a Solution


Well, my problem is that I don't even know where to really start. So my attempts at a solution don't exactly make much sense. I was just playing around hoping I would come up with something, which I didn't
 
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  • #2
What property of a matrix [tex]A[/tex] ensures that its determinant is zero (or, inversely, not zero)? How does this property connect to the relationships between the rows (or columns) of [tex]A[/tex]?
 

Related to How does the distinctness of values in a matrix A affect its determinant?

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