Linear algebra ( symmetric matrix)

Click For Summary
SUMMARY

The discussion centers on the properties of symmetric matrices in linear algebra, specifically regarding the matrix A and its transpose At. It is established that both A * At and (A + At)/2 yield symmetric matrices. The division by 2 is clarified as unnecessary for obtaining symmetry, as A + At alone suffices. The factor of 1/2 is relevant when expressing A as the sum of a symmetric matrix and a skew-symmetric matrix.

PREREQUISITES
  • Understanding of matrix operations, including multiplication and addition.
  • Familiarity with matrix transposition and its properties.
  • Knowledge of symmetric and skew-symmetric matrices.
  • Basic concepts of linear algebra, particularly related to matrix decomposition.
NEXT STEPS
  • Study the properties of symmetric matrices in depth.
  • Learn about skew-symmetric matrices and their applications.
  • Explore matrix decomposition techniques, particularly the symmetric and skew-symmetric decomposition.
  • Investigate the implications of matrix transposition in linear transformations.
USEFUL FOR

Students and professionals in mathematics, particularly those studying linear algebra, as well as data scientists and engineers working with matrix computations.

Vijay Raghavan
Messages
9
Reaction score
0
I am currently brushing on my linear algebra skills when i read this
For any Matrix A
1)A*At is symmetric , where At is A transpose ( sorry I tried using the super script option given in the editor and i couldn't figure it out )
2)(A + At)/2 is symmetric
Now my question is , why should it be divided by 2? doesn't just A + At alone give a symmetric matrix
 
Physics news on Phys.org
Vijay Raghavan said:
I am currently brushing on my linear algebra skills when i read this
For any Matrix A
1)A*At is symmetric , where At is A transpose ( sorry I tried using the super script option given in the editor and i couldn't figure it out )
2)(A + At)/2 is symmetric
Now my question is , why should it be divided by 2? doesn't just A + At alone give a symmetric matrix
It goes like this ##\text{ A^t }## or ##\text{ ## A^t ## }##.

The relevant formulas are ##(A \cdot B)^t = B^t \cdot A^t \, , \, (A+B)^t = A^t + B^t ## and ##(A^t)^t=A##.
You are correct, the factor ##\frac{1}{2}## isn't necessary here. It usually is taken when ##A## is written as ##A = \frac{1}{2}(A+A^t) + \frac{1}{2}(A-A^t)##, i.e. as a sum of a symmetric matrix ##B=B^t=\frac{1}{2}(A+A^t)## and a skew-symmetric matrix ##C=-C^t=\frac{1}{2}(A-A^t)##. Here it is needed to get back ##A##, instead of ##2A##.
 
  • Like
Likes   Reactions: Vijay Raghavan
fresh_42 said:
It goes like this ##\text{ A^t }## or ##\text{ ## A^t ## }##.

The relevant formulas are ##(A \cdot B)^t = B^t \cdot A^t \, , \, (A+B)^t = A^t + B^t ## and ##(A^t)^t=A##.
You are correct, the factor ##\frac{1}{2}## isn't necessary here. It usually is taken when ##A## is written as ##A = \frac{1}{2}(A+A^t) + \frac{1}{2}(A-A^t)##, i.e. as a sum of a symmetric matrix ##B=B^t=\frac{1}{2}(A+A^t)## and a skew-symmetric matrix ##C=-C^t=\frac{1}{2}(A-A^t)##. Here it is needed to get back ##A##, instead of ##2A##.
Thank you for the clarification.
 

Similar threads

  • · Replies 19 ·
Replies
19
Views
4K
  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 8 ·
Replies
8
Views
3K
  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 14 ·
Replies
14
Views
4K
  • · Replies 8 ·
Replies
8
Views
3K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 3 ·
Replies
3
Views
3K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 9 ·
Replies
9
Views
3K