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The space of Jacobi fields along a geodesic has dimension two n
Statement
For every finite , every -dimensional Riemannian manifold , every nondegenerate interval , and every affinely parametrized geodesic , the set of smooth Jacobi fields along is a real vector space of dimension . Constant geodesics and are included. If a derivative is evaluated at an included endpoint of , it is interpreted one-sided. No completeness or choice axiom is required.
Facts & Assumptions
Given: A finite-dimensional Riemannian manifold of dimension , a nondegenerate interval , a specified affinely parametrized geodesic , and a parameter .
A smooth vector field along is a smooth section of the pulled-back tangent bundle; in any pulled-back frame its coefficient functions are smooth (Vector field and section along a smooth curve).
A smooth field is Jacobi exactly when on ; constant geodesics and one-sided endpoint derivatives are included (Jacobi field).
Covariant differentiation along a curve is real-linear on sections, so is real-linear as well; included endpoints use one-sided derivatives (Covariant derivative along a curve).
Curvature is -linear in each vector-field slot. In a local frame this gives pointwise linearity of for fields along (Curvature is C-infinity-linear in all three vector fields).
A real vector space has pointwise addition, a zero vector, and scalar multiplication satisfying the vector-space axioms (Vector space over a field).
For , the tangent space is an -dimensional real vector space (The tangent space of an n-manifold has dimension n).
An -dimensional vector space has a basis with elements; a basis is linearly independent and spanning (Finite-dimensional vector space, and its dimension ; infinite-dimensional means having no finite basis, Basis of a vector space: a linearly independent spanning subset; and ordered basis: an injective finite list whose image is a basis).
A map of real vector spaces is linear when it preserves every linear combination of two vectors (Linear map between vector spaces over the same field).
For every and every pair , exactly one Jacobi field on all of has and ; included endpoints use one-sided derivatives, and the result includes constant geodesics and (Existence and uniqueness of jacobi fields from initial data).
Proof
The smooth fields along are closed under pointwise addition and real scalar multiplication: in a pulled-back frame these operations add and scale smooth coefficient functions by [F1]. The zero section and pointwise additive inverses are smooth too. The vector-space axioms hold in each tangent fiber by [F5] and [F6], hence hold pointwise for the space of smooth fields.
Write . By [F6] and [F7], choose a basis of , with the empty basis when . Equip with componentwise operations; every vector-space axiom follows in each component from [F5] and [F6]. Put and for . These vectors span : expand each component in the basis of . They are linearly independent because a vanishing linear combination has first and second components and , forcing all to vanish by basis independence. Thus these vectors form a basis of , also when .
Put and define . By [F3], its first term is real-linear in ; by [F4], its second term is pointwise real-linear in . Thus for smooth fields and real scalars . By [F2], ; it contains zero and is closed under addition and scalar multiplication. The inherited vector-space axioms from step 1.1 therefore make a real vector space.
Define the initial-data map by . The target has the componentwise vector-space operations established in step 1.2. Endpoint evaluation and covariant differentiation make preserve every linear combination by [F3], so it is linear by [F8]. Fact [F9] says exactly that every pair in its target is attained by one Jacobi field, and that no two Jacobi fields have the same image. Hence is bijective.
By [F9], let and be the unique Jacobi fields with initial data and , respectively. Their images under are and . Since is a linear bijection by step 3.1, the fields are linearly independent and span : apply to a relation or to the difference between a field and the corresponding linear combination, then use that the are a basis. Therefore has dimension . If , [F9] gives the unique zero field and this basis is empty.
The proof applies to with its two-element product basis, and to constant because [F2] and [F9] include that case; the zero field and zero initial data are included. The hypothesis that is nondegenerate is needed for ; if is an included endpoint, [F3] and [F9] use the stated one-sided derivatives. A supplied geodesic rules out the empty-manifold case. The construction uses one finite basis of a single tangent space and the uniquely determined fields from [F9], so it uses no choice axiom. The statement is a dimension assertion, not an iff claim.
Source locator
Lee, Riemannian Manifolds: An Introduction to Curvature, Chapter 10, Proposition 10.4 and Corollary 10.5, printed p.176 / PDF label P192, especially lines 6892–6908. Corollary 10.5 states that the Jacobi-field space has dimension and identifies as a bijection. The local proof above supplies the vector-space structure and constructs the dimension from a basis of , including and endpoint conventions. Datar, Lectures on Riemannian Geometry, Proposition 21.2.4, printed p.157 / PDF label P164, states compact-segment initial-data existence and uniqueness only; the broader in-run prerequisite Existence and uniqueness of jacobi fields from initial data proves the interval scope used here.
Depends on
- The tangent space of an n-manifold has dimension n
- Covariant derivative along a curve
- Finite-dimensional vector space, and its dimension $\dim_F V$; infinite-dimensional means having no finite basis
- Jacobi field
- Basis of a vector space: a linearly independent spanning subset; and ordered basis: an injective finite list whose image is a basis
- Linear map between vector spaces over the same field
- Vector field and section along a smooth curve
- Vector space over a field
- Curvature is C-infinity-linear in all three vector fields
- Existence and uniqueness of jacobi fields from initial data
Used by
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Sources
- John M. Lee, Riemannian Manifolds: An Introduction to Curvature (1997), Chapter 10 (standard reference, not scraped)
- Ved Datar, Lectures on Riemannian Geometry (2025) (standard reference, not scraped)