Show that diagonal entries of a skew symmetric matrix are zero.

Click For Summary
SUMMARY

A skew symmetric matrix is defined by the property that its transpose equals its negative, expressed mathematically as A^T = -A. This leads to the conclusion that for any diagonal entry a(j,j), it must satisfy the equation a(j,j) = -a(j,j). The only solution to this equation is a(j,j) = 0, confirming that all diagonal entries of a skew symmetric matrix are zero. This proof is valid and effectively demonstrates the property of skew symmetric matrices.

PREREQUISITES
  • Understanding of matrix operations, specifically transposition.
  • Familiarity with the concept of skew symmetric matrices.
  • Basic knowledge of algebraic manipulation and equations.
  • Experience with proof writing in linear algebra.
NEXT STEPS
  • Study the properties of skew symmetric matrices in more detail.
  • Learn about eigenvalues and eigenvectors of skew symmetric matrices.
  • Explore applications of skew symmetric matrices in physics and engineering.
  • Investigate the relationship between skew symmetric matrices and orthogonal transformations.
USEFUL FOR

Students and professionals in mathematics, particularly those studying linear algebra, as well as anyone interested in understanding the properties and implications of skew symmetric matrices.

inknit
Messages
58
Reaction score
0
I'm pretty inexperienced in proof writing. So not sure if this was valid.

If a matrix is skew symmetric then A^T = - A, that is the transpose of A is equal to negative A.

This implies that if A = a(i,j), then a(j,i) = -a(i,j). If we're referring to diagonal entries, we can say a(j,j) = -a(j,j). The only way for this to be true is if a(j,j) = 0. So therefore all the diagonal entries of a skew symmetric matrix are 0.

Is this good enough?

Thanks.
 
Physics news on Phys.org
I think it would work as a valid proof.
 
inknit said:
I'm pretty inexperienced in proof writing. So not sure if this was valid.

If a matrix is skew symmetric then A^T = - A, that is the transpose of A is equal to negative A.

This implies that if A = a(i,j), then a(j,i) = -a(i,j). If we're referring to diagonal entries, we can say a(j,j) = -a(j,j). The only way for this to be true is if a(j,j) = 0. So therefore all the diagonal entries of a skew symmetric matrix are 0.

Is this good enough?

Thanks.

It's great. Thanks!
 
inknit said:
I'm pretty inexperienced in proof writing. So not sure if this was valid.

If a matrix is skew symmetric then A^T = - A, that is the transpose of A is equal to negative A.

This implies that if A = a(i,j), then a(j,i) = -a(i,j). If we're referring to diagonal entries, we can say a(j,j) = -a(j,j).

The only way for this to be true is if a(j,j) = 0.
A touch better than just saying that would be to note that if a(j,j)= -a(j, j) then (adding a(j,j) to both sides) 2a(j,j)= 0 so (dividing both sides by 2) a(j,j)= 0.

So therefore all the diagonal entries of a skew symmetric matrix are 0.

Is this good enough?

Thanks.
 

Similar threads

  • · Replies 4 ·
Replies
4
Views
3K
Replies
9
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 2 ·
Replies
2
Views
3K
Replies
9
Views
3K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 1 ·
Replies
1
Views
3K
  • · Replies 14 ·
Replies
14
Views
3K