Vector Derivative in Geometric Calculus: Gradient and Maxwell's Equations

Added:

Gradient Operator
Divergence and Curl
Dual and Pseudoscalar
Geometric Interpretations
Field Representations
Maxwell Equations
Wave Equation & Force
Vector Derivative

Gradient Operator

0:02
Playing Section
  • 1

    Defines the gradient operator for multivector-valued functions.

  • 2

    Chooses right placement of partial derivatives for non-commutativity.

  • 3

    Generalizes the gradient from R2 to RN contexts.

Standard vector calculus concepts, including the traditional definitions and operations of gradient, divergence, and curl.
Foundational concepts of Geometric (Clifford) Algebra, specifically the geometric product, outer (wedge) product, and multivectors.
Classical Maxwell's equations of electromagnetism expressed in Gibbs-Heaviside vector notation.
Multivariable calculus, including partial derivatives, line/surface integrals, and basic differential equations.
Spacetime Algebra (STA) and the formulation of covariant relativistic electrodynamics in 4D Minkowski space.
Using Geometric Calculus to solve electromagnetic wave equations and boundary value problems via Green's functions.
Formulating Gauge Theory Gravity and general relativity using the gauge-covariant formulation of geometric calculus.
Comparing and contrasting Geometric Calculus with the framework of Differential Forms in differential geometry.
Applying geometric algebra in advanced engineering contexts, such as antenna design, computer vision, and robotics kinematics.
12.8K views276likes23:39@AlanMacdonald1Original Release: 2016-03-19

The vector derivative generalizes the gradient to differentiate multivector-valued functions on manifolds by using reciprocal basis vectors instead of tangent vectors, enabling differentiation even when coordinate systems are non-orthogonal; this framework unifies divergence and curl into a single operator and provides a more elegant formulation of Maxwell's equations compared to traditional vector calculus.