Mathematical Basics: Vectors

Related lectures (30)

Page 3 of 3

Explores landmarks, coordinates, vectors, coplanarity, Cartesian equations, and geometric rules in space.

Covers orthogonal vectors, unit vectors, and the Pythagorean theorem in R^m.

Covers linear applications, diagonalizable matrices, eigenvectors, and orthogonal subspaces in R^n.

Covers the representation of signals in vector spaces and inner product spaces, including the Projection Theorem.

Explores scalar product in an orthonormal basis and its applications in 3D space.

Covers the basics of vectors in 3 dimensions, including representation, unit vectors, and basis transformations.

Covers trigonometric functions, derivatives, differential equations, and vector properties.

Covers vector calculus concepts such as scalar and vector products, trigonometric circle, and derivatives of composite functions.

Covers linear equations, vectors, and matrices, exploring their fundamental concepts and applications.

Introduces orthogonality between vectors, angles, and orthogonal complement properties in vector spaces.