A metric tensor is a nondegenerate symmetric covariant tensor that defines squared line elements by .
For a nondegenerate metric tensor, differentiating gives . Combining this with the Jacobi determinant derivative formula proves the displayed volume-density variation. It is the determinant contribution when defining a stress-energy tensor by varying the inverse metric tensor.
For , define by . Then and . Constant surfaces are confocal prolate spheroids and constant interior surfaces are two-sheeted hyperboloids, with foci . The coordinates are orthogonal away from their degeneracies. The squared scale factors are , and . The two signs of are coordinate branches, joined at the equatorial fold .
A Lorentzian metric is a smooth nondegenerate symmetric metric tensor with one negative and all other positive directions, or its opposite-sign convention. At each point, a nonzero tangent is timelike, null or spacelike according as is negative, zero or positive in the first convention. Unlike a Riemannian metric, it gives a light cone rather than a positive norm. Minkowski spacetime is its constant flat model, and proper time along a timelike curve is .
A null coordinate is a coordinate function whose gradient is null, . Its level sets are null hypersurfaces. Pairs of such coordinates straighten radial null directions in two-dimensional orbit metrics; a monotone reparametrization of either function preserves its null level sets. Examples include the retarded and advanced null coordinates and the radial Kruskal–Szekeres coordinates.
With metric signature , a nonzero vector is spacelike when its Lorentzian inner product with itself satisfies . In Minkowski spacetime, this means its spatial components have larger squared Euclidean length than its time component. The classification is preserved by Lorentz transformations. A timelike vector has negative squared Lorentzian inner product, and a null vector has zero squared Lorentzian inner product.
A Lorentzian inner product is a nondegenerate symmetric bilinear form with one negative and the remaining positive eigenvalues in the mostly-plus convention. Two nonzero future causal vectors have nonpositive inner product; if either is timelike, it is strictly negative.
A nonzero covector is null when its squared dual Lorentzian inner product is zero: . Raising its index gives a null vector. Null covectors describe normals to characteristic light cones and are the test directions in the classical null condition for wave equations.
A nonzero causal vector is timelike or null: with metric signature . The zero vector is commonly included when stating the dominant energy condition.
A timelike vector obeys in metric signature . Its orthogonal complement has positive-definite metric; the two timelike cones give the local future and past choices.
A timelike vector field assigns a timelike vector continuously or smoothly to every event in its domain. A globally defined such field gives a time orientation, but it need not be a Killing vector field or a timelike geodesic vector field.
With parameter , oblate spheroidal coordinates on Euclidean three-space are
Writing and , their spatial line element is
Starting from the Minkowski metric in oblate spheroidal coordinates, set , , and choose an azimuth satisfying
Then
so the coordinate vector is null.
The inverse metric satisfies and raises covariant tensor indices.

Ancestors (4)

  1. General relativity
  2. Branch of physics
  3. Physics
  4. Home

Discussion (0)

New discussion

There are no discussions about this article yet.

Articles by others on the same topic (1)

The metric tensor is a fundamental concept in differential geometry and plays a key role in the theory of general relativity. It is a mathematical object that describes the geometry of a manifold, allowing one to measure distances and angles on that manifold. ### Definition In a more formal sense, the metric tensor is a type of tensor that defines an inner product on the tangent space at each point of the manifold. This inner product allows one to compute lengths of curves and angles between vectors. ### Properties 1.