Landmarks and Vectors

Related lectures (24)

Page 1 of 3

Covers linear independence, bases, and coordinate systems with examples and theorems.

Explains linear independence, bases, and dimension in vector spaces, including the importance of the order of vectors in a basis.

Covers the definition and use of coordinate systems and applications in bases and linear equations.

Covers the basics of linear algebra, emphasizing the identification of subspaces through key properties.

Explores indicial notation, vectors, and the transformation law in the context of mass flux density.

Explores polynomial operations, properties, and subspaces in vector spaces.

Covers landmarks, coordinate systems, frames, and terminology in coordinates, emphasizing geometric angles and orthogonal vectors.

Explores parametric equations, vectors, medians, landmarks, and Cartesian equations of lines in the plane.

Covers the properties and operations of vector spaces, including addition and scalar multiplication.

Explores orthogonality between vectors and subspaces, demonstrating practical implications in matrix operations.