Physics 1: Vectors and Dot Product

Related lectures (30)

Page 1 of 3

Introduces scalars and vectors, explaining their properties and mathematical operations.

Covers orthogonality, scalar products, orthogonal bases, and vector projection in detail.

Explores orthogonality, norms, and distances in vector spaces for solving linear systems.

Explores orthogonality, dot product properties, vector norms, and angle definitions in vector spaces.

Covers scalar products, orthogonal vectors, norms, and projections in vector spaces, emphasizing orthonormal families of vectors.

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

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

Explores the postulates of Quantum Mechanics, focusing on states, time evolution, and measurement.

Covers advanced physics topics such as definitions, rectilinear motion, vectors, and motion in three dimensions.

Introduces mechanics, differential and vector calculus, and historical perspectives from Aristotle to Newton.