When asked to compute the eigenvalues of a real $n \times n$ matrix \(A\), students in an introductory linear algebra course are often taught that they can calculate the roots of the polynomial $\text{det} (A – \lambda I)$. The roots…Continue readingSeven Different Ways to Obtain the Eigenvalues of a Matrix
A subspace of vectors in $\mathbb R^n$ is a set of vectors with two properties. For any two vectors in the set, $\vec u$ and $\vec v$, the sum $\vec u + \vec v$ is also in the set. For…Continue readingWhat is a Subspace?
