The Cartan-Hodge formalism#
Table of Contents
This part introduces the Cartan-Hodge formalism, which bundles the notions of tensor calculus, musical operators, Hodge duality, exterior derivative, and the free matrix representation into a comprehensive framework of notation and mathematical tools. Practical computations follow clear and concise rules, with each step presented in a compact and comprehensible manner. The objective is also to depart from the abstract index notation of tensor calculus, eliminate the need for the Levi-Civita symbol, and expand tensor equations to their component from, all while adhering to standard and widespread notations.
This is not a comprehensive introduction into these subjects, but recalls basic definitions and properties necessary to perform calculations. I assume the reader possesses a solid understanding of vector and tensor calculus, as well as a working familiarity with Cartan’s differential forms and the exterior derivative.
I also here highlight and point out the article on Hodge duality can be read as a self-contained article and may be of interest to the reader on its own.
Basis vectors#
The Euclidean basis vectors are traditionally noted \(\mathbf{e}_x\), \(\mathbf{e}_y\), and \(\mathbf{e}_z\). It can be demonstrated that the basis vectors are the partial derivatives:
Any vector can be expressed as a linear combination of the basis vectors as:
The differential applied to the basis vectors results in the Kronecker \(δ\):
Therefore the dual basis covectors are:
And a covariant dual covector is expressed as linear combination of the basis covectors:
Musicality#
With the musical flat \(♭\) and sharp \(♯\) symbols, covectors and vectors are explicetely declared. For example, a contravariant three-vector is declared with the sharp operator \(♯\) as:
The musical flat \(♭\) and sharp \(♯\) symbols are further utilzed as operators converting vectors to covectors and vice versa. For example, a three-vector with euclidean metric \(δ\) is flattend to a three-covector with:
The free matrix representation#
With the free matrix representation, vectors can be ordered into arbitray matrix, while keeping the tensor basis is explicitly included. A vector can the be expressed explicitly as:
The representation can be freely modified to best facilitate calculations, with the brackets acting as an operator \(\begin{bmatrix}\end{bmatrix}\) adding elements together. As an example, the following row representation of a vector is also valid in the free matrix representation:
Hodge dual of k–forms in Minkowski space#
The Hodge duality assumes a central role, transitioning tensors between spaces and their dual complements.
1–forms
2–forms
3–forms
4–forms