Derivative of a Product of Functions

Related lectures (28)

Page 2 of 3

Covers vector components, projections, conventions, operations, and mathematical identities.

Covers the fundamental concepts of vectors, including their characteristics and calculation methods.

Covers the properties of vectors, including commutativity, distributivity, and linearity.

Explores the existence of the gradient in R2 and its implications on derivability and directional derivatives.

Explores rectilinear movement, vector algebra, scalar products, and vector decomposition in a three-dimensional space.

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

Covers the concept of 3D vector space, scalar product, bases, orthogonality, and projections.

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

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

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