use determinant to decide if the set of vectors is linearly independent


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  • How to determine if vectors are linearly independent using determinant?

    We have now found a test for determining whether a given set of vectors is linearly independent: A set of n vectors of length n is linearly independent if the matrix with these vectors as columns has a non-zero determinant.
    The set is of course dependent if the determinant is zero.

  • How do you choose linearly independent vectors?

    Given a set of vectors, you can determine if they are linearly independent by writing the vectors as the columns of the matrix A, and solving Ax = 0.
    If there are any non-zero solutions, then the vectors are linearly dependent.
    If the only solution is x = 0, then they are linearly independent.

  • How do you know if a collection of vectors is linearly independent?

    Really the simplest way to check if a set of vectors are linearly independent, is to put the vectors into a matrix, row reduce the matrix to echelon form, then the vectors are linearly independent if and only if there is a pivot in every column.

The linear independence of a set of vectors can be determined by calculating the determinant of a matrix with columns composed of the vectors in the set. If the determinant is equal to zero, then the set of vectors is linearly dependent. If the determinant is non-zero, then the set of vectors is linearly independent.
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