Integrating Metric Tensors: Conditions for Obtaining a Global Metric Function

In summary, the metric tensor can be integrated to a global metric function if there exists a geodesic between all pairs of points and it is unique. These conditions are necessary, but not always sufficient. If the space is complete under the metric, there will always be a length minimizing curve that is a geodesic, but if it is not complete, this may not be true.
  • #1
Ben Niehoff
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Under what conditions can the metric tensor be integrated to a global metric function? i.e., a function g(x,y) that gives the distance along a geodesic between x and y?

For example, we can do this on the sphere using spherical trigonometry (cf. http://en.wikipedia.org/wiki/Spherical_law_of_cosines). It looks like we can also do this on a surface of constant negative curvature.

Some obvious conditions are that a geodesic must exist between all pairs (x,y), and it must be unique (possibly with some restriction such as the spherical example above). These conditions are necessary, but are they sufficient?
 
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  • #2
You get a metric by saying that the distance between two points is the infimum of the lengths of all piece wise smooth curves connecting the points.

If the space is complete under this metric then there will always be a length minimizing curve that is a geodesic.

If it is not complete this may not be true. For instance, the plane minus the origin with the Euclidean metric. The points (1,0) and (-1,0) are not connected by a straight line and in fact there is no curve that minimizes the length of all curves between them. But the infimum of all of the lengths is 2.
 

1. What are metrics and metric tensors?

Metrics and metric tensors are mathematical tools used to measure distances and angles in a given space. They are used extensively in fields like physics, engineering, and mathematics to describe the geometry of a space.

2. How are metrics and metric tensors related?

Metric tensors are a type of tensor that defines the metric of a space, which is a function that assigns a distance between any two points in that space. The metric tensor contains information about the geometry of a space and can be used to calculate distances and angles using a specific coordinate system.

3. What is the difference between a metric tensor and a metric?

A metric tensor is a mathematical object that describes the metric of a space, while a metric is a function that assigns a distance between two points in that space. Essentially, the metric tensor is the mathematical representation of the metric.

4. How are metrics and metric tensors used in physics?

In physics, metrics and metric tensors are used to describe the geometry of spacetime in theories like general relativity. They are also used in other areas of physics, such as fluid dynamics, to calculate distances and angles in a given space.

5. Can metric tensors be used in any type of space?

Yes, metric tensors can be used in any type of space, including euclidean, non-euclidean, and curved spaces. They are a fundamental tool in the study of geometry and are applicable in various fields of science and mathematics.

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