Expressing a matrice as a sum of two non singular matrices

In summary, the conversation discusses ways to express a matrix as the sum of two non-singular matrices. Option (a) of expressing a matrix as the sum of a symmetric and an asymmetric matrix is ruled out because an asymmetric matrix is always singular. Option (b) suggests factorizing two non-singular matrices A and B to obtain a common term that determines the singularity of the resulting matrix. The idea of expressing a matrix as a sum of an upper-triangular and a lower-triangular matrix is mentioned, but the question of when a triangular matrix is non-singular is raised. The conversation concludes with the clarification that not all anti-symmetric matrices are singular, as demonstrated by the matrix [0 -1; 1
  • #1
vish_maths
61
1
Hello everyone , So here is this problem which i was recently thinking about
Expressing any matrix as the sum of two non singular matrices
So, when i think of ways to express a matrix as sum of two matrices, the thought which
comes first is :

(a) Any matrix can be expressed as the sum of a symmetric and an asymmetric matrix
but an asymmetric matrix is always singular which means this option is ruled out

(b) Suppose A and B are two non Singular matrices. There ought to be some technique
of factorising A and B so that some common terms exist and when i combine these two, a term is obtained whose property defines whether the resulting matrix is singular or not

What can be such a factorisation ?
 
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  • #2
Perhaps express it as a sum of an upper-triangular and a lower-triangular matrix??

When is a triangular matrix non-singular??
 
  • #3
but an asymmetric matrix is always singular which means this option is ruled out

Where did you get that idea? First, "asymmetric" simply means "not symmetric"- you mean "anti-symmetric". And even for anti-symmetric matrices, this is not true:
[tex]\begin{bmatrix}0 & -1 \\ 1 & 0\end{bmatrix}[/tex]
is anti-symmetric but has determinant 1 and so is not singular.
 

FAQ: Expressing a matrice as a sum of two non singular matrices

1. What is the purpose of expressing a matrix as a sum of two non-singular matrices?

The purpose of expressing a matrix as a sum of two non-singular matrices is to simplify and break down a complex matrix into smaller, more manageable parts. This can make it easier to analyze and manipulate the matrix for various mathematical operations.

2. What are non-singular matrices?

Non-singular matrices are matrices that have a determinant that is not equal to zero. This means that they have an inverse matrix, and can be easily manipulated and solved for in various mathematical operations.

3. Can any matrix be expressed as a sum of two non-singular matrices?

No, not all matrices can be expressed as a sum of two non-singular matrices. This method only works for square matrices that have a non-zero determinant.

4. How do you express a matrix as a sum of two non-singular matrices?

To express a matrix as a sum of two non-singular matrices, you can use a process called matrix decomposition. This involves finding matrices with specific properties, such as being non-singular and having a certain structure, that when added together will result in the original matrix.

5. What are some applications of expressing a matrix as a sum of two non-singular matrices?

This method can be used in various applications, such as solving systems of equations, calculating determinants, and performing matrix transformations. It can also be helpful in simplifying complex matrix calculations in fields such as engineering, physics, and computer science.

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