Expressing a matrice as a sum of two non singular matrices

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The discussion centers on the problem of expressing any matrix as the sum of two non-singular matrices. The initial hypothesis suggests that a matrix can be represented as the sum of a symmetric and an asymmetric matrix, but this is dismissed due to the singular nature of asymmetric matrices. The conversation then shifts to the possibility of factorizing two non-singular matrices, A and B, to achieve a resultant matrix with specific properties. The clarification that "asymmetric" refers to "anti-symmetric" is crucial, as it highlights that anti-symmetric matrices can indeed be non-singular, contradicting earlier assumptions.

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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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Perhaps express it as a sum of an upper-triangular and a lower-triangular matrix??

When is a triangular matrix non-singular??
 
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:
\begin{bmatrix}0 & -1 \\ 1 & 0\end{bmatrix}
is anti-symmetric but has determinant 1 and so is not singular.
 

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