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.