Tensor Fields and Natural Operations
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Tensors encode multilinear relations among vectors and covectors, and several important operations on them require neither a metric nor a connection. Tensor products, permutation of slots, weighted symmetrization and antisymmetrization, contraction of one vector index with one covector index, and pullback of purely covariant tensors are already natural on a smooth manifold. Raising indices, tracing two covariant indices, lengths, and covariant differentiation are not.
Required background. Calculus and Linear Algebra for Relativity — use multilinear maps, tensor products, dual bases, permutations, and contraction.
Tensors and their coordinate components
Section titled “Tensors and their coordinate components”At , a tensor of type is a multilinear map
With a coordinate basis, it has the expansion
The components transform with one Jacobian for each upper index and one inverse Jacobian for each lower index. Those transformation laws ensure that evaluating on geometric arguments gives the same number in every chart. A tensor field is a smooth assignment , equivalently one whose components are smooth in every chart. The invariant and component viewpoints are developed in Lee 2013, Chs. 11–12, pp. 272–326.
An upper index corresponds to a vector factor, which accepts a covector argument; a lower index corresponds to a covector factor, which accepts a vector argument. The distinction is already meaningful without a metric. In particular, may be contracted to , but cannot be “traced” by summing : that expression is not invariant.
For a concrete tensor, let , on the plane, and set . It acts by , so but . A tensor product does not automatically symmetrize its factors. The ordered inputs are part of the object being defined.
Natural algebraic operations
Section titled “Natural algebraic operations”If has type and has type , then has type . Permuting like slots is canonical. For a rank-two covariant tensor, the site’s weighted conventions are
For indices, parentheses or brackets include the factor . Thus every covariant rank-two tensor decomposes uniquely into symmetric and antisymmetric parts: .
Contraction pairs one contravariant and one covariant slot using the canonical evaluation . For example, is a covector. Contraction commutes with coordinate change because a Jacobian and its inverse cancel. It does not require a volume form or inner product.
Alternating covariant tensors form the exterior algebra. Let denote antisymmetrization with the factor . For a -form and a -form , the standard wedge normalization is
In particular, for one-forms, with no factor . It satisfies
This preview remains entirely metric-free; differential forms and their integration are developed in the next chapter.
Tensoriality as a practical test
Section titled “Tensoriality as a practical test”An expression is tensorial at if its value depends only on the values of its tensor arguments at and transforms homogeneously. Partial derivatives of tensor components usually fail this test because differentiating a Jacobian produces an inhomogeneous term. By contrast, algebraic combinations made from tensor products, permutations, contractions, and linear combinations with scalar coefficients remain tensors.
There is a quick diagnostic. If an alleged multilinear object is -linear in every vector-field argument, then its value at depends only on and defines a tensor. The Lie bracket fails because . A differential one-form succeeds: , where is a scalar function and is the function being differentiated.
As a coordinate check, under a mixed tensor transforms as
Contracting gives . The invariant trace is therefore available for an endomorphism, even without a metric.
Operations that need extra geometry
Section titled “Operations that need extra geometry”A nondegenerate metric supplies musical maps , so it permits raising and lowering indices and contracting two indices of the same variance. A connection supplies covariant derivatives of tensor fields and comparisons between neighboring fibers. Top-degree forms can be integrated after choosing an orientation; densities can be integrated without one. Conflating these layers obscures which conclusions survive a change of metric, connection, or orientation.
The natural operations here are pointwise. They say nothing about how a tensor varies, whether it is conserved, or how its components are measured by an observer. Those questions belong to later pages on Lie derivatives, connections, frames, and physical interpretation. Tong 2019, §2.3, pp. 69–75, PDF provides a physics-oriented component treatment, while the present scope keeps the underlying operations metric-free.
Symmetry type as invariant information
Section titled “Symmetry type as invariant information”Symmetry or antisymmetry in a pair of like slots survives every coordinate transformation because it is defined by permuting arguments, not components. A symmetric covariant tensor remains symmetric in all charts, and a two-form remains antisymmetric. By contrast, a statement about a particular component vanishing may depend on the basis. Decomposing a tensor into symmetry types is therefore a coordinate-independent simplification.
Contraction respects this distinction but can annihilate a symmetry type only when the paired slots are defined. For example, if a symmetric contravariant tensor is supplied together with an antisymmetric covariant tensor , then the natural pairing vanishes:
This conclusion uses two like-slot symmetry statements followed by valid vector–covector contractions. There is no invariant notion of antisymmetry obtained by swapping an upper slot with a lower slot unless extra structure first identifies vectors with covectors.
Exercises
Section titled “Exercises”Let and be tensors. Form a scalar from in two inequivalent natural ways, and explain why is not available from two arbitrary tensors without extra structure.
Solution
One may contract within each tensor to obtain . Alternatively, contract the upper slot of with the lower slot of and the upper slot of with the lower slot of :
Both use only vector–covector evaluation. Writing would require converting the lower index of into an upper one, which has no canonical meaning until a nondegenerate bilinear form is chosen.
References
Section titled “References”- Lee, John M. Introduction to Smooth Manifolds. 2nd ed., Graduate Texts in Mathematics 218, Springer, 2013, Chs. 11–12, pp. 272–326.
- Tong, David. General Relativity. University of Cambridge lecture notes, 2019, §2.3, pp. 69–75, PDF.