Calculate Parallel Transport: Get Out of Logical Loop

In summary, a tensor undergoes parallel transport if its covariant derivative is zero. Covariant derivative describes how a tensor changes as it moves through a manifold, and a tensor does not parallel transport if it undergoes change. Schild's ladder is a method for defining parallel transport.
  • #1
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I'm in a logical loop here:

1. A tensor undergoes parallel transport if, as it moves through a manifold, its covariant derivative is zero.

2. Covariant derivative describes how a tensor changes as it moves through a manifold.

3. A tensor undergoes change as it moves if it does not parallel transport.

So how do I get out of this loop? I have an intuitive sense of parallel transport, but I do not know how to describe it mathematically except by using the definition above (1). Perhaps the answer lies in the calculus of variations?
 
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  • #2
There are potentially a lot of ways. One way is to define the abstract properties a covariant derivative must have (things like obeying the chain rule, for instance, though that's not sufficient, there are 4-5 conditions needed), then finding the particular derivative operator or operators that are metric compatible.

You can start with the idea of a connection, which is a linear map from a tangent space at point p to the nearby point q as well, and look for a special connection called the Leva-Civita connection that's metric compatible and torsion free.

One rather offbeat way is to use Schild's ladder to define parallel transport. You need to have a definition of a geodesic for this to work as you must construct and extend geodesic segments for this approach to work. It's an approximate geometric construction that transports a vector by constructing parallelograms, and stating that the sides of a parallelogram are parallel. See for instance https://en.wikipedia.org/w/index.php?title=Schild's_ladder&oldid=636833569

You'll find a description of Schild's ladder in MTW"s Gravitation as well, but the approach seems to be rather offbeat and not particularly popular in textbooks. You'd need to define geodesics other than curves that parallel transport themselves for it not to be circular, this is possible by using variational principles.
 
  • #3
Thanks, pervect. This stuff goes deep!
 

Related to Calculate Parallel Transport: Get Out of Logical Loop

1. What is parallel transport and why is it important in scientific research?

Parallel transport is a mathematical concept that involves moving a vector or a geometric object along a curve without changing its direction. It is important in scientific research because it helps to understand the behavior of objects in curved spaces, such as in general relativity and fluid dynamics.

2. How do you calculate parallel transport?

To calculate parallel transport, you need to use mathematical equations that involve the curvature of the space and the direction of the object being transported. This can be done using differential geometry or linear algebra. It is a complex process that requires a deep understanding of mathematical concepts.

3. What is a logical loop and how does it relate to parallel transport?

A logical loop is a situation where a computer program gets stuck in a repetitive sequence of instructions, causing it to run indefinitely. In the context of parallel transport, this can happen when trying to calculate the direction of the object being transported, as it requires using the direction itself, creating a circular dependency.

4. How do you get out of a logical loop when calculating parallel transport?

To get out of a logical loop, you can use numerical methods and approximations to break the circular dependency. This can involve using small time steps or adjusting the direction of the object being transported to avoid the loop. It is also important to have a thorough understanding of the mathematical equations involved to predict and prevent logical loops.

5. What are some practical applications of calculating parallel transport?

Parallel transport has many practical applications in various fields of science, including astrophysics, meteorology, and computer graphics. It is used to model the movement of objects in curved spaces, such as the orbits of planets in space or the flow of air in the atmosphere. It is also used in computer animation to create realistic motion of objects in 3D environments.

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