34 Summary

We have now reached the end of our Linear Algebra discussion, and I hope you enjoyed it. We began with solving systems of linear equations using matrices and then looked at determinants of square matrices. We introduced vectors and looked at ten axioms that a set of vectors needs to satisfy to qualify as a vector space. We looked at spanning sets and then added the idea of linear independence to find a basis. We found the basis for a row space, column space, and a null space. We then concluded with eigenvalues and diagonalization.

Our next section is on mathematical modeling. We will explore linear programming and how to solve optimization and minimization problems, and we will also see how to find accurate models for modeling data. So, let’s continue our journey.