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Normal neighborhoods, convex normal sets, the position vector and the squared-displacement function
Definition
Let be a time-oriented smooth Lorentzian four-manifold with metric-selected connection (Smooth time-oriented Lorentzian four-manifolds: the geometric objects of the model, Metric compatibility, torsion freedom and the metric-selected connection class), and let be the exponential maps of The geodesic initial-value problem and the exponential map of the metric-selected connection. For an open set write for the tangent vectors based at points of .
(a) Normal neighborhood. An open neighborhood of is a normal neighborhood of when there is an open star-shaped subset of such that and is a diffeomorphism onto (Point-normal and exponential coordinate charts of the metric-selected connection clause (b) supplies such pairs). The exponential coordinates at on such a are for a linear isomorphism .
(b) Convex normal and strictly convex normal sets. An open set is convex normal when it is a normal neighborhood of each of its points; thus for every there is an open star-shaped with and a diffeomorphism onto . It is strictly convex normal when it is convex normal and every pair is joined by exactly one affinely parametrized geodesic segment with and , and, if , its parameter interior lies in . In the degenerate case , the required segment is the constant geodesic at ; no interior-containment condition is imposed on this degenerate segment when .
(c) Position vector. Fix a normal neighborhood of as in (a), with its chosen inverse , and let . Put . Since is star-shaped, for , and is the radial geodesic segment in from to . The vector is the position vector of with respect to ; here is the maximal geodesic of The geodesic initial-value problem and the exponential map of the metric-selected connection. The notation uses this chosen inverse branch; another normal neighborhood may select a different radial segment for the same endpoints. On a convex normal set , use the inverse domains of (b) and the joining segment in ; on a strictly convex normal set this segment is unique by (b). By the Gauss lemma of The Lorentzian Gauss lemma and the radial maximum of proper time .
(d) Squared-displacement function. For a normal neighborhood of the squared-displacement function is It is smooth on because is smooth and is bilinear; , exactly when is timelike, exactly when is null or zero, and exactly when is spacelike. On a convex normal we write , , whenever the position vector is defined using these inverse domains.
(e) Scope. These are definitions inside the smooth Lorentzian model; they assert no existence of convex normal sets (supplied separately by Existence of strictly convex normal neighborhoods: small coordinate balls are normal neighborhoods of each of their points ↗), no completeness and no physical reading. The position vector is an element of , not a vector field and not a coordinate displacement; is not a metric distance and takes negative values on timelike-separated pairs.
Remarks
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Well-definedness. The conditions in (a) and (b) are consistent by The geodesic initial-value problem and the exponential map of the metric-selected connection clause (d) and Point-normal and exponential coordinate charts of the metric-selected connection clause (b), which provide the local diffeomorphism domains used above; the existence of convex normal neighborhoods, asserted in the wording of (c), is proved in Existence of strictly convex normal neighborhoods: small coordinate balls are normal neighborhoods of each of their points ↗. The definition records the vocabulary only and proves nothing by itself.
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The pair map. By The joint exponential map: smoothness, invertible differential at the diagonal, and the small-velocity two-point inverse the map is smooth near the diagonal where it is defined; the position vector with is thereby a smooth function of near such configurations, a fact used in The differential of the squared-displacement function and the position vector of the reversed geodesic.
Depends on
The geodesic initial-value problem and the exponential map of the metric-selected connection
The joint exponential map: smoothness, invertible differential at the diagonal, and the small-velocity two-point inverse
Point-normal and exponential coordinate charts of the metric-selected connection
The Lorentzian Gauss lemma and the radial maximum of proper time
Smooth time-oriented Lorentzian four-manifolds: the geometric objects of the model
Metric compatibility, torsion freedom and the metric-selected connection class
and smooth maps between smooth manifolds
Embedded submanifolds and slice charts
Dependency tree · 2 levels
Sources
- E. Minguzzi, Lorentzian causality theory, Living Reviews in Relativity 22 (2019), article 3: normal neighborhoods (Definition 2.2 printed p. 26), convex normal and strictly convex normal sets (Definition 2.3 printed p. 26), position vector (Definition 2.5 printed p. 27) and the function D^2 (equation (2.5) printed p. 27)
- P. T. Chrusciel, Elements of causality theory, arXiv:1110.6706 (2011): normal neighbourhoods and exponential coordinates, sections 2.2-2.3