Relative to a nondegenerate metric tensor, any affine connection is uniquely the Levi-Civita connection plus a contorsion tensor contribution and a disformation tensor contribution. In derivative-last notation, with and , the lowered difference is . This follows by solving and . The difference of affine connections is a tensor.
Use the connection convention , with the derivative index last. This is consistent with the printed curvature formula and the final formula in part (iv). The paper's is then the negative of the geometric torsion tensor defined by . Keep the paper's component convention throughout this question.
Set . The difference of affine connections is a tensor. Since the Levi-Civita connection is symmetric and metric compatible, expanding the nonmetricity tensor gives
Here is antisymmetric in its first two slots, while is symmetric in its first two slots. Cyclically permuting these identities and eliminating the other components gives
Raise the last slot to obtain the connection decomposition
where
The PDF is missing the factor in its definition of . With the printed , the decomposition would instead contain . In these formulas raises the first slot of the fully lowered tensor; it must not be confused with , which raises the last slot.
A smooth vector field along a map is a smooth section of the pullback tangent bundle : it assigns , with smooth coefficients in each local frame. It need not be the restriction of one ambient vector field, since a curve may return to the same point with different values of .
An affine connection, also called a Koszul connection, induces a pullback connection on this bundle. In coordinates, write and . Its covariant derivative along a curve is
The connection transformation law, or the Leibniz rule applied to a change of frame, makes this expression independent of the frame. In particular it is defined even when ; it differentiates the section's coefficients as well as the frame.
The field is parallel precisely when . In a frame along a coordinate segment this is the linear ordinary differential equation
The Picard-Lindelof theorem gives a unique solution with prescribed initial value. Smooth coefficients on compact subintervals are bounded, and the usual norm estimate for a linear ordinary differential equation prevents finite-time blowup there. A finite sequence of coordinate segments covers the image of the compact interval ; solve successively and use uniqueness on overlaps. This gives a unique parallel field on the whole interval for every .
Define parallel transport by . Linearity of the equation and uniqueness give . Solving along the reversed curve supplies its inverse. Therefore each is a linear isomorphism.
For two affine connections, put . Their rules give
since the two terms cancel. The tensoriality of this operation proves that the difference of affine connections is a tensor, of type , with smooth coordinate coefficients .
A parametrized geodesic satisfies , or the geodesic equation
With , this becomes the first-order system , . Its right side is smooth, so the Picard-Lindelof theorem gives a unique local solution for each initial point and tangent vector. This establishes uniqueness with the parametrization fixed.
The two accelerations differ by
If for every tangent vector, either acceleration vanishes exactly when the other does. Conversely, start the -geodesic with arbitrary initial vector at an arbitrary point. If it is also a -geodesic with the same parameter, evaluating this identity initially gives . Hence
Polarization makes the latter condition equivalent to : parametrized geodesics determine the symmetric part of an affine connection. In particular torsion-free connections are determined by their parametrized geodesics, since their difference is also symmetric and must then vanish.