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

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SUMMARY

The discussion centers on the determinant of a specific matrix A, defined by the polynomial terms involving distinct values a1, a2, ..., an. It is established that the determinant of matrix A equals zero if and only if the values a1, a2, ..., an are distinct. This implies that if any two values are equal, the determinant will not be zero, confirming that distinctness is a critical property for the determinant's value.

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Students studying linear algebra, mathematicians interested in matrix theory, and anyone exploring the properties of determinants in relation to distinct values in matrices.

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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
 
Last edited:
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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]?
 

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