Question about Cyclical Matrices and Coplanarity of Vectors

In summary, the conversation discusses the concept of cyclic matrices and how their column and row vectors can be coplanar, leading to either infinite solutions or no solutions for the equation Ax = b. It is also noted that the scalar triple product of both the column and row vectors of a cyclic matrix will always be zero. However, not all cyclic matrices have coplanar columns or rows and hence vanishing determinants. The conversation also mentions the equivalent statements for a matrix having a determinant of zero and its columns being linearly dependent.
  • #1
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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  • #2
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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What is a cyclical matrix?

A cyclical matrix is a square matrix where the first row becomes the last column, the second row becomes the first column, and so on. This creates a cyclic pattern in the matrix.

What is the significance of cyclical matrices in mathematics?

Cyclical matrices have many applications in mathematics, such as in the study of linear transformations and Markov chains. They also have connections to graph theory and algebraic geometry.

How are cyclical matrices related to coplanarity of vectors?

If the columns of a cyclical matrix represent the coordinates of vectors in 3D space, then the coplanarity of these vectors can be determined by the determinant of the matrix. If the determinant is zero, the vectors are coplanar.

Can a non-square matrix be cyclical?

No, a non-square matrix cannot be cyclical because it must have an equal number of rows and columns in order to have a cyclical pattern.

Are all cyclical matrices invertible?

No, not all cyclical matrices are invertible. For a cyclical matrix to be invertible, its determinant must be non-zero. Otherwise, it is singular and cannot be inverted.

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