释义 |
Metric TensorA Tensor, also called a Riemannian Metric, which is symmetric and Positive Definite. Very roughly, the metric tensor is a function which tells how to compute the distance betweenany two points in a given Space. Its components can be viewed as multiplication factors which must be placed infront of the differential displacements in a generalized Pythagorean Theorem
| (1) |
In Euclidean Space, where is the Kronecker Delta (which is 0 for and 1 for ), reproducing the usual form of the Pythagorean Theorem
| (2) |
The metric tensor is defined abstractly as an Inner Product of every Tangent Space of a Manifold suchthat the Inner Product is a symmetric, nondegenerate, bilinear form on a Vector Space. This means that ittakes two Vectors as arguments and produces a Real Number such that
| (3) |
| (4) |
| (5) |
| (6) |
| (7) |
with equality Iff .
In coordinate Notation (with respect to the basis),
| (8) |
| (9) |
| (10) |
where is the Minkowski Metric. This can also be written
| (11) |
where
| (14) |
gives
| (15) |
The metric is Positive Definite, so a metric's Discriminant is Positive. For a metric in 2-space,
| (16) |
The Orthogonality of Contravariant and Covariant metrics stipulated by
| (17) |
for , ..., gives linear equations relating the quantities and . Therefore, if metrics are known, the others can be determined.
In 2-space,
If is symmetric, then
In Euclidean Space (and all other symmetric Spaces),
| (23) |
so
| (24) |
The Angle between two parametric curves is given by
| (25) |
so
| (26) |
and
| (27) |
The Line Element can be written
| (28) |
where Einstein Summation has been used. But
| (29) |
so
| (30) |
For Orthogonal coordinate systems, for , and the Line Element becomes (for 3-space)
where are called the Scale Factors.See also Curvilinear Coordinates, Discriminant (Metric), Lichnerowicz Conditions, Line Element,Metric, Metric Equivalence Problem, Minkowski Space, Scale Factor, Space
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