Rank of a matrix and its submatrices

In summary, the problem states that for a nonzero matrix A of size n, if a k*k submatrix of A has a nonzero determinant, then the rank of A is equal to k. Conversely, if the rank of A is equal to m, then some m*m submatrix has a nonzero determinant. The approach to proving this involves using the rank-nullity theorem and examining the linearly independent columns of A. The use of determinant formulas may also come into play.
  • #1
Grothard
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Homework Statement



Let A be a nonzero matrix of size n. Let a k*k submatrix of A be defined as a matrix obtained by deleting any n-k rows and n-k columns of A. Let m denote the largest integer such that some m*m submatrix has a nonzero determinant. Prove that rank(A) = k.

Now conversely suppose that rank(A) = m. Prove that some m*m submatrix has a nonzero determinant.


Homework Equations


Determinant formulas


The Attempt at a Solution



Not quite sure if I should proceed by examining the solution space of A or rather just do something clever with the determinants. I feel like there's a property of determinants that I'm missing that'd make this much easier.
 
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  • #2
For the first part, I could assume the opposite is true and then try to derive a contradiction. Suppose rank(A) > k. Then by the rank-nullity theorem, there must be at least n-k linearly independent columns of A (for if there were fewer, the rank would be less than n-k). When we delete these n-k columns from A, the new matrix must have a nonzero determinant, since it is not the zero matrix. But then m = n-k > k, which is a contradiction. Now for the second part, suppose rank(A) = m. Then by the rank-nullity theorem, there must be exactly m linearly independent columns of A. Let the columns of A be denoted by c1, ..., cm. I think that from here, I need to do something clever with the determinant formulas. Let det(A) denote the determinant of A. Since c1, ..., cm are linearly independent, they form a basis of R^n. Then det(A) = det(c1, ..., cm), where ci denotes the column vector of A corresponding to the ith column. From here, I'm really not sure what to do. Any help would be greatly appreciated.
 

FAQ: Rank of a matrix and its submatrices

What is the rank of a matrix?

The rank of a matrix is the maximum number of linearly independent rows or columns in the matrix. It is also equal to the number of non-zero rows or columns in the matrix after it has been reduced to row-echelon form.

How is the rank of a matrix calculated?

The rank of a matrix can be calculated by using elementary row operations to reduce the matrix to row-echelon form and counting the number of non-zero rows or columns. It can also be calculated by finding the determinant of each submatrix and counting the number of non-zero determinants.

What is the relationship between the rank of a matrix and its submatrices?

The rank of a matrix is equal to the minimum rank of all its submatrices. This means that the rank of the original matrix cannot be greater than the rank of any of its submatrices.

How do singular and non-singular matrices differ in terms of rank?

A singular matrix has a rank of 0, meaning that all of its rows and columns are linearly dependent. A non-singular matrix has a rank equal to the number of its rows or columns, meaning that all of its rows and columns are linearly independent.

Can the rank of a submatrix be greater than the rank of the original matrix?

No, the rank of a submatrix cannot be greater than the rank of the original matrix. The rank of a submatrix is always equal to or less than the rank of the original matrix.

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