I've spent 6 hours, still can't get it.

  • Thread starter Thread starter hola
  • Start date Start date
Click For Summary
SUMMARY

The discussion focuses on the properties of an n*n matrix B, specifically under the conditions B^2 = B and transpose(B) = B^-1. It is established that if B is idempotent (B^2 = B), then either det(B) = 1 or B is singular (det(B) = 0). Additionally, if B is orthogonal (transpose(B) = B^-1), the determinant must equal 1, as negative determinants are not possible for real eigenvalues in orthogonal matrices.

PREREQUISITES
  • Understanding of matrix properties, specifically idempotent and orthogonal matrices.
  • Knowledge of determinants and their properties in linear algebra.
  • Familiarity with eigenvalues and their implications on matrix determinants.
  • Basic understanding of matrix operations, including transposition and inversion.
NEXT STEPS
  • Study the properties of idempotent matrices in linear algebra.
  • Learn about orthogonal matrices and their significance in various applications.
  • Explore the relationship between eigenvalues and determinants in depth.
  • Investigate the implications of singular matrices in linear transformations.
USEFUL FOR

Mathematicians, students of linear algebra, and anyone involved in theoretical computer science or applied mathematics who seeks to deepen their understanding of matrix properties and determinants.

hola
Messages
38
Reaction score
0
B is a n*n matrix

1. Let B^2 =B. Prove that either det(B) =1 or B is singular.
2. If Transpose(B) = B^-1 , what is det(B)?
 
Physics news on Phys.org
If b^2=b, then det(b^2)=det(b)^2=det(b), which has two solutions for det(b). For the second part, since a singular matrix doesn't have an inverse, you are forced into the only allowed non-zero determinant.
 


I understand that you have spent 6 hours trying to solve this problem, and it can be frustrating when things don't come easily. Don't worry, sometimes it takes time and effort to fully understand and solve a problem. Keep persevering and don't give up.

1. To prove that either det(B) = 1 or B is singular, we can use the fact that if B^2 = B, then B is an idempotent matrix. This means that B^2 - B = 0. We can then use the determinant property that det(AB) = det(A)det(B) to get det(B^2 - B) = det(0), which equals 0. Therefore, det(B^2 - B) = 0 and we can factor out det(B) to get det(B)(det(B) - 1) = 0. This means that either det(B) = 0 or det(B) = 1. If det(B) = 0, then B is singular. If det(B) = 1, then we have proven the statement.

2. If transpose(B) = B^-1, then B is an orthogonal matrix. This means that B^T = B^-1 and det(B^T) = det(B^-1) = 1/det(B). From this, we can see that det(B) = 1 or -1. However, since B is an orthogonal matrix, it must have real eigenvalues. This means that det(B) cannot equal -1, so we are left with det(B) = 1.
 

Similar threads

  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 5 ·
Replies
5
Views
2K
  • · Replies 0 ·
Replies
0
Views
3K
  • · Replies 11 ·
Replies
11
Views
2K
  • · Replies 11 ·
Replies
11
Views
2K
  • · Replies 10 ·
Replies
10
Views
2K
  • · Replies 13 ·
Replies
13
Views
2K
Replies
62
Views
7K
  • · Replies 10 ·
Replies
10
Views
3K