How do we parallel transport a vector?

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Discussion Overview

The discussion centers on the concept of parallel transport of vectors along a curve in a manifold, exploring the mathematical formulation and implications of the parallel transport condition. Participants examine the necessary equations and methods for obtaining the parallel transported vector from a given initial vector, addressing both theoretical and practical aspects of the problem.

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • One participant states that a vector field X is parallel transported along a curve c if the condition \nabla_V X=0 holds at each point along c, providing a mathematical formulation for this condition.
  • Another participant rewrites the parallel transport condition using the chain rule, suggesting that the change in components of the vector can be expressed as \frac{d X^\alpha}{d \tau} = -{\Gamma^\alpha}_{\mu\nu} \frac{d x^\mu}{d\tau} X^\nu(\tau), indicating that the right-hand side depends on X.
  • A third participant discusses the existence of a unique tensor field T that satisfies the parallel transport condition along a smooth curve, referencing the uniqueness and existence theorem for ordinary differential equations (ODEs) to support their claim.
  • One participant challenges the formulation of the parallel transport condition presented by another, arguing that it is logically inconsistent to treat X as a function of multiple variables when it is defined along a single worldline.
  • The same participant emphasizes that the relationship should be viewed as a differential equation rather than an integral, reiterating the need to integrate changes to determine the vector at finite increments.

Areas of Agreement / Disagreement

Participants express differing views on the formulation of the parallel transport condition, with some asserting the correctness of their interpretations while others challenge these interpretations. The discussion remains unresolved regarding the most appropriate mathematical representation of the condition.

Contextual Notes

Participants note that the right-hand side of the equations depends on the vector being transported, leading to implicit equations that may require numerical methods for solutions. There is also a mention of the limitations of treating the vector as a function of multiple variables in certain formulations.

pellman
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Given a curve c(τ) with tangent vector V, a vector field X is parallel transported along c if

\nabla_V X=0

at each point along c. Let x^\mu(\tau) denote the coordinates of the curve c. In components the parallel transport condition is

\frac{dx^\mu}{d\tau}\left(\partial_\mu X^\alpha + {\Gamma^\alpha}_{\mu\nu}X^\nu\right)=0

If we are given a vector X^\alpha(\tau_0) of the tangent space at c(\tau_0), how do we obtain the parallel transported vector X^\alpha(\tau) for finite \tau-\tau_0? Clearly it will be an integral taken along c but what is the form of that integral?
 
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Rewrite your equation using the chain rule as

\frac{d X^\alpha}{d \tau} = -{\Gamma^\alpha}_{\mu\nu} \frac{d x^\mu}{d\tau} X^\nu(\tau)

This tells you how the components of the vector ##X## change if you parallel transport it along an infinitesimal increment in the affine parameter ##\tau##. You have to integrate up these changes to get the change when you change ##\tau## by a finite amount. Unfortunately the right hand side depends on ##X## so if you actually write down the integral you get an equation that only determines ##X^\alpha(\tau)## implicitly. It would be straightforward to do the integral numerically, though.
 
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Given a manifold ##M##, a derivative operator ##\nabla## on ##M##, a smooth curve ##\gamma: I\subseteq \mathbb{R} \rightarrow M## with tangent ##V##, and a tensor ##T_0## at some point ##\gamma(s_0)##, there exists a unique tensor field ##T## on ##\gamma## such that ##\nabla_{V}T = 0## and ##T(\gamma(s_0)) = T_0## i.e. ##T_0## is parallel transported along ##\gamma## with respect to ##\nabla##. This statement can be proven by choosing a set of local coordinates and invoking the uniqueness and existence theorem for ODEs.

To actually find ##T##, you just solve the ODE initial-value problem you get from the parallel transport condition (the initial value being ##T(\gamma(s_0)) = T_0##) by choosing a set of local coordinates. So for example in the case of a vector ##X##, you have ##\frac{dX^{\mu}}{ds} + \Gamma ^{\mu}_{\nu\gamma}V^{\nu}X^{\gamma} = 0 ##. This is an ODE that you can (in principle) solve.
 
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pellman, Please note that the way The Duck writes it:
\frac{d X^\alpha}{d \tau} = -{\Gamma^\alpha}_{\mu\nu} \frac{d x^\mu}{d\tau} X^\nu(\tau)
is the ONLY way to write the condition. What you wrote:
\frac{dx^\mu}{d\tau}\left(\partial_\mu X^\alpha + {\Gamma^\alpha}_{\mu\nu}X^\nu\right)=0
is a logical impossibility. Inside the parenthesis you have written ∂μXα as if Xα was a field, a function of four variables, so that you could take its four-dimensional gradient. It's only a function of one variable τ, and only defined along a single worldline.

You have to integrate up these changes to get the change when you change ##\tau## by a finite amount. Unfortunately the right hand side depends on ##X## so if you actually right down the integral you get an equation that only determines ##X^\alpha(\tau)## implicitly. It would be straightforward to do the integral numerically, though.
In other words, it's not an integral, it's a differential equation.
 
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