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Conjugate points are critical values of the exponential map along the geodesic
Statement
Assume exactly the library's countable-choice axiom , as carried by the declared exponential-domain and exponential-differential suppliers. Let be a finite-dimensional Riemannian manifold without boundary, let , let with , and let Then:
- and are conjugate along if and only if is singular;
- if they are conjugate, the multiplicity equals ;
- equivalently, fails to be a local diffeomorphism at if and only if is conjugate to along .
Constant geodesics are excluded by , and dimension zero is vacuous because no nonzero tangent vector exists then. No completeness, compactness or full Axiom of Choice is assumed.
Facts & Assumptions
Given: The boundaryless finite-dimensional Riemannian manifold, the point , and the nonzero vector in the exponential domain, under the stated assumption.
The choice assumption is exactly of The Axiom of Countable Choice (). It enters only through the declared suppliers Domain and exponential map of a connection, Differential of the exponential map in terms of Jacobi fields, and the openness/smoothness and differential-at-zero suppliers in [F9]; the inverse-function lemma Choice-free smooth inverse function theorem in Euclidean space is choice-free; the linear-algebra and Jacobi-initial-value arguments below select nothing and use no full Axiom of Choice.
The points and are conjugate along exactly when the space of Jacobi fields vanishing at both times contains a nonzero field; for a conjugate pair, the multiplicity is , and is a real vector space of finite dimension (Conjugate points along a geodesic and their multiplicity).
A smooth field along is Jacobi exactly when on (Jacobi field), the covariant derivative along a curve is real-linear in the field with (Covariant derivative along a curve), and curvature is linear in each slot, so is pointwise linear (Curvature is C-infinity-linear in all three vector fields). Hence the Jacobi equation is linear: real linear combinations of Jacobi fields are Jacobi fields.
For every there is exactly one smooth Jacobi field along with and ; uniqueness holds for any prescribed initial position and derivative at , with one-sided derivatives at the included endpoint (Existence and uniqueness of jacobi fields from initial data).
For every , the differential of the exponential map satisfies , where is the Jacobi field along with and (Differential of the exponential map in terms of Jacobi fields).
The tangent space is a real vector space of finite dimension (The tangent space of an n-manifold has dimension n, Linear map between vector spaces over the same field).
For a linear map the kernel is a linear subspace, and is injective exactly when its kernel is the zero subspace (Kernel and image of a linear map, Linear map between vector spaces over the same field, The kernel and image are linear subspaces, and a linear map is injective if and only if its kernel is trivial). If is finite-dimensional with , then (Rank-nullity: ); a linear subspace satisfies exactly when (If and is a linear subspace of , then is finite-dimensional, , and if and only if ).
A linear map between finite-dimensional spaces is called invertible, or a linear isomorphism, when it is bijective, equivalently when it has a two-sided inverse; "singular" means not invertible (Invertible linear maps, linear isomorphisms, and inverse linear maps).
In ZF, if is open, is smooth and is invertible at , then restricts to a diffeomorphism from some open neighbourhood of onto an open set (Choice-free smooth inverse function theorem in Euclidean space). For smooth manifold maps the chain rule holds, so if a smooth map has a smooth local inverse near a point then its differential there is invertible (Diffeomorphisms and local diffeomorphisms of manifolds, The chain rule for differentials of smooth maps).
Under [A1], is open and is smooth (The exponential domain is open and the exponential map is smooth), and is the identity (The differential of exp at zero is the identity).
Proof
Define by for the unique Jacobi field of [F3] with and . Then is real-linear: for and , the field is Jacobi by [F2], and its initial data at are and by [F2], so uniqueness in [F3] gives , that is, .
The map is injective: if , then . Moreover : for such a , put ; then and are Jacobi fields with the same position and derivative at , so by [F3].
By [F4], for every , Hence, using [F1], Since is injective and by step 2.1, the restriction is a well-defined bijection: it maps a with to the field , which lies in by the displayed equivalence, and it is surjective because every equals with by step 2.1. It is linear as a restriction of a linear map.
The kernel of is a linear subspace of by [F6], so by step 3.1 the multiplicity equals ; in particular both spaces are finite-dimensional. If then, by [F1], and are conjugate and step 3.1 gives a nonzero element of , so the differential is not injective. Conversely, if the differential is not injective, step 3.1 and injectivity of give a nonzero element of , and [F1] makes the endpoints conjugate. Since the source and target of the differential both have dimension by [F5], [F6] identifies noninjectivity with singularity. This proves claims 1 and 2, the second in the form "the multiplicity equals the kernel dimension".
It remains to translate singularity into failure of local invertibility. Suppose first that is invertible. Choose a linear isomorphism of onto and a chart of around ; in these coordinates is a smooth map from a neighbourhood of in to whose derivative at is invertible, so [F8] makes a diffeomorphism from a neighbourhood of onto an open set. Conversely, suppose is a local diffeomorphism at : there are open neighbourhoods of and of such that is a diffeomorphism. Its inverse is smooth, and the chain rule [F8] applied to at gives , so has a left inverse, hence is injective, hence bijective by [F6] and [F7]. Thus fails to be a local diffeomorphism at exactly when is singular, which by step 4.1 happens exactly when the endpoints are conjugate.
Boundary and choice audit. Since , the geodesic has initial velocity and is nonconstant; the constant-geodesic clause of [F1] is therefore not needed. If then by [F5] and there is no nonzero , so the theorem is vacuous; in dimension one every nonzero is in the single line and the argument uses no splitting into normal and tangential directions. The zero vector has and , consistent with [F4]; the case is where the kernel is tested. Both directions of the equivalence in claim 1 and both directions of claim 3 are proved: conjugacy is derived from a nonzero kernel element in step 4.1, and singularity is derived from conjugacy there as well. The only choice assumption is [A1]; no selection from a family is made. [A1, F1, F4, F5, F9, step 4.1, step 5.1]
Source locator
Lee, Riemannian Manifolds: An Introduction to Curvature, Proposition 10.11 and proof, printed pp.182–183 / PDF labels P197–P198, proves that is a local diffeomorphism near if and only if is not conjugate to along ; his proof computes the pushforward through the variation and identifies its endpoint derivative with the Jacobi field. Datar, Lectures on Riemannian Geometry, Proposition 22.3.1 and proof, printed pp.163–164 / PDF labels P170–P171, proves directly that is conjugate to along if and only if is singular at and defines multiplicity as the dimension of the vanishing Jacobi space. The proof above follows the same two ingredients but states the kernel identification as an explicit bijection, so the multiplicity statement 2 is derived rather than assumed.
Depends on
- The tangent space of an n-manifold has dimension n
- Conjugate points along a geodesic and their multiplicity
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- Covariant derivative along a curve
- Diffeomorphisms and local diffeomorphisms of manifolds
- Domain and exponential map of a connection
- Jacobi field
- Kernel and image of a linear map
- Invertible linear maps, linear isomorphisms, and inverse linear maps
- Linear map between vector spaces over the same field
- Choice-free smooth inverse function theorem in Euclidean space
- Curvature is C-infinity-linear in all three vector fields
- The chain rule for differentials of smooth maps
- Differential of the exponential map in terms of Jacobi fields
- If $\dim_F V = n$ and $U$ is a linear subspace of $V$, then $U$ is finite-dimensional, $\dim_F U \le n$, and $\dim_F U = n$ if and only if $U = V$
- Existence and uniqueness of jacobi fields from initial data
- Rank-nullity: $\dim_F V=\operatorname{nullity}T+\operatorname{rank}T$
- The kernel and image are linear subspaces, and a linear map is injective if and only if its kernel is trivial
- The exponential domain is open and the exponential map is smooth
- The differential of exp at zero is the identity
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Sources
- John M. Lee, Riemannian Manifolds: An Introduction to Curvature (1997), Proposition 10.11 and proof (standard reference, not scraped)
- Ved Datar, Lectures on Riemannian Geometry (2025), Proposition 22.3.1 and proof (standard reference, not scraped)