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under construction...
(for a very long time)

Tensor

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Naively, a tensor is a generalized collection of vector and covector using the tensor product. It is an element of a space built from vectors and covectors via tensor products (and linear combinations).

Mathematically, A \((k,\ell)\)-tensor on a vector space $V$ is an element of \(V^{\otimes k}\otimes (V^*)^{\otimes \ell}\) (equivalently a multilinear map \((V^*)^k\times V^\ell\to\mathbb{F}\)) characterized by the universal property of the tensor product.

Physically, a tensor is something obeying physical law under the coordinate transformations. Energy and mass for example are rank-0 tensor, which are called scalars. Force (usually in CM) is rank-1 tensor, which is called vector. To be clear, it is \((1, 0)\)-tensor. Bivector is \((2,0)\)-tensor. Conductivity, elasticity, piezoelastic effect, etc. are rank-2 tensor. Moment of Inertia, metric tensor, Ricci curvature, symplectic form are \((0,2)\)-tensor.

Constructing algebras from a vector space

Tensor algebra

exterior algebra

Combinatorial notations

Graded algebras

Clifford algebras

Geometric algebra

Tensor algebras on the dual space

the structure of the dual space

Tensors

Tensors as multilinear mappings

Abstract index notation

Tensors as multi-dimensional arrays

Exterior forms

TBA