The determinant is the number that measures how a matrix changes space. In this Woody Calculus visual lesson, learn how determinants explain area and volume scaling, orientation, invertibility, matrix collapse, eigenvalues, Wronskians, and why det(A) connects Linear Algebra to Differential Equations.
Eigenvalues and eigenvectors reveal the special directions that unlock Linear Algebra and Differential Equations. In this Woody Calculus visual lesson, learn how Av = λv explains matrix transformations, scaling, diagonalization, matrix powers, solution modes, stability, phase portraits, and why eigenvalues predict long-term behavior in systems before you even solve them.