Vector Geometry: Basics and Applications

Related lectures (30)

Page 3 of 3

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

Explores the scalar product, vector lengths, angles, norms, and rotations in 2D and 3D spaces.

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

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

Introduces scalar product, parallelism of vectors, and rate of change of a product.

Introduces the basics of analytical geometry, emphasizing vector representation, operations, and applications in geometry.

Covers the definition and properties of the scalar product, including geometric interpretations and algebraic properties.

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

Covers 3D orientation, cross product, and volume calculations using mixed product in vector calculus.

Covers mathematical concepts related to vector operations and geometry, including scalar product and vector norms.