Question about Cyclical Matrices and Coplanarity of Vectors

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This discussion centers on the properties of cyclic matrices as explored in MIT OCW 18.06 using "Intro to Linear Algebra" by Gilbert Strang. It establishes that the column vectors of a cyclic matrix are coplanar, leading to the conclusion that the equation Ax = b may have either infinite or no solutions based on the condition b1 + b2 + b3 = 0. The scalar triple product of both the column and row vectors of a cyclic matrix is zero, indicating linear dependence. The discussion confirms that for any matrix A, the determinant being zero is equivalent to the linear dependence of its columns.

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kostoglotov
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MIT OCW 18.06 using Intro to Linear Algebra by Strang

So I was working through some stuff about Cyclic Matrices, and the text was talking about how the column vectors that make up this cyclic matrix, shown here,

vZxRfwJ.gif


are coplanar, and that is the reason that Ax = b will have either infinite solutions or no solutions depending on what b is; specifically whether or not b1 + b2 + b3 = 0.

I also noticed that the scalar triple product using the three vectors constructed from the columns of the matrix is of course 0, this is to be expected, but if you construct the vectors from the rows of the matrix, the scalar triple product of those vectors is also zero...

Is this just coincidence, or will sets of vectors constructed from both the columns and the rows of a cyclic matrix always be coplanar, or rather, linearly dependent?
 
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Not all cyclic matrices have coplanar columns or rows and hence vanishing determinants. However, for any matrix ## A ##, cyclic or not, the following statements are equivalent:

1. det(##A##) = 0
2. The columns of A are linearly dependent

Also, because det(##A^T##)=det(##A##), if the columns of a matrix are linearly dependent, the rows will be too.
 
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