MHB Linear Algebra Rank of a Matrix Problem

Click For Summary
The discussion focuses on proving that the array a(k) = rank(A^(k + 1)) - rank(A^k) is monotonically increasing for an n x n matrix A with complex elements. It highlights that the relationship rank(AB) ≤ min(rank(A), rank(B)) supports the notion of a(k) being non-decreasing. The problem was ultimately solved using the Frobenius Inequality related to matrix rank. Participants express gratitude for the insights shared during the discussion. The conclusion emphasizes the importance of understanding matrix rank properties in linear algebra.
Heeyeyey
Messages
2
Reaction score
0
Let A be a n x n matrix with complex elements. Prove that the a(k) array, with k ∈ ℕ, where a(k) = rank(A^(k + 1)) - rank(A^k), is monotonically increasing.

Thank you! :)
 
Physics news on Phys.org
This follows from $\operatorname {rank} (AB)\leq \min(\operatorname {rank} (A),\operatorname {rank} (B))$, if by "increasing" you mean "not decreasing".
 
Finally solved it using the Frobenius Inequality for the rank of a matrix. Thank you anyway!
 

Similar threads

  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 14 ·
Replies
14
Views
3K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 3 ·
Replies
3
Views
889
  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 19 ·
Replies
19
Views
3K
  • · Replies 9 ·
Replies
9
Views
5K
  • · Replies 19 ·
Replies
19
Views
4K
  • · Replies 4 ·
Replies
4
Views
2K