Wronskian vs. Determinant in Determining Linear Independence?

ManessIn summary, the Wronskian is a type of determinant used to determine the linear independence of solutions to a differential equation. It is specifically used for function space, while determinants are used for vectors in cartesian space. The Wronskian is necessary in this case to determine if a row in a matrix can be zeroed out through Gaussian reduction, and therefore if one of the equations or vectors that constructed the matrix is dependent on the other two basis vectors.
  • #1
kq6up
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It seems to me that if a row is able to be zeroed out through Gaussian reduction that the determinate of that matrix would equal zero. Therefore, we know that at least one of equations/vectors that constructed the matrix was formed from the other two rows. That is -- that equation is dependent on the other two basis vectors.

Why do we need the Wronskian to determine this?

Thanks,
Chris Maness
 
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  • #2
The Wronskian is a special type of determinant used to determine if a set of solutions to a differential equation is linearly independent:

http://en.wikipedia.org/wiki/Wronskian

See the section on "The Wronskian and linear independence".
 
  • #3
Ok, is it that Wronskians are for function space where all the basis are formed by functions of x, where the determinants are for -- say -- {x,y,z} vectors in cartesian space?

Chris
 

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