In this post **we talk about the** ** inverse matrix**. We discuss what it means for a matrix to be

*invertible*. We then discuss what it means for a matrix

*not*to be invertible -

*singular*. Finally, we briefly go through how to find a matrix’s inverse.

In my last post we saw how a matrix could operate on a vector to produce a result…

One of the most crucial changes in my viewpoint came when I learned that matrices, much like functions, *act* on inputs. Until then, a matrix was just a collection of numbers and matrix multiplication was just a mechanical set of rules used to produce another collection of numbers. I knew that the result of matrix multiplication could be a scalar, a vector or another matrix… but I abandoned any further investigations.

I like to build stuff.

Data Scientist

Johannesburg, South Africa