The Invertible Matrix Theorem is the master key to linear algebra. This visual lesson organizes 50 equivalent conditions connecting pivots, row reduction, rank, null spaces, bases, linear systems, one-to-one and onto transformations, determinants, eigenvalues, transposes, singular values, Gram matrices, and conditioning—with proofs, examples, and a practical mastery map.
Learn how eigenvalues determine phase portraits in Differential Equations. This Woody Calculus lesson explains stable nodes, unstable nodes, saddle points, spiral sinks, spiral sources, centers, repeated eigenvalues, eigenvectors, and stability.
The Jacobian is the hidden scale factor behind every coordinate change in Calculus III. In this Woody Calculus visual lesson, learn how Jacobians explain area and volume scaling, change of variables, polar coordinates, cylindrical coordinates, spherical coordinates, double integrals, triple integrals, and why the mysterious extra factors r and ρ²sinφ appear.
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.