In this blog post, we define the "pseudo-determinants" of a matrix. We will start with what we know.
Definitions
Let
and
denote two square matrices, respectively.
Let
denote the determinant of matrix
.
What we know:
From the second definition,
.
It is a well known theorem that
(1).
We know that
(2).
If we set
, (2) becomes:
(3).
We then substitute (1) and the definition to get:
(4)
Now
is guaranteed to be a square matrix; therefore it is legal to square root both sides to conclude that:
(5)
However, there are some cases where the following would result in
, therefore the following alternative is proposed:
(6)
However, if both result in
, then
.
Example:
We will calculate the pseudo-determinants of this matrix:
The formula dictates that we first transpose
, which leads to this:
Multiplying the transposed version of the matrix by
(the proof that the reverse would result in
is left as an exercise to the blog post reader), we obtain:
The determinant of the resulting matrix can be shown to be
, and the pseudo-determinants can be shown to be
.
Conclusion:
The pseudo-determinant might be a novel discovery as there is inadequate description of the topic on mathematics websites.