Matrix Calculus: Determinants

Related lectures (26)

Page 2 of 3

Covers matrices, linear applications, vector spaces, and bijective functions.

Covers the definition of 3x3 matrices, determinants, matrix operations, and invertibility.

Explains the Wronskian and its role in determining linear independence of solutions to differential equations.

Covers Cramer's Rule for solving linear equations using determinants and column replacements.

Covers the definition and properties of determinants, including the rule of Sarrus for 3x3 matrices.

Covers the definition and basic operations of matrices, including addition, scalar multiplication, and matrix multiplication.

Covers linear applications, matrices, transformations, and the principle of superposition.

Explores properties and calculation tricks of determinants, including fixing rows/columns, expanding, and examples of determinant calculations.

Introduces key concepts in linear algebra, including matrices, operations, and numerical invariants.

Explores matrix operations, linear systems, solutions, and the span of vectors in linear algebra.