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Conjugate points and multiplicity are invariant under affine reparametrization
Statement
Let be a finite-dimensional Riemannian manifold without boundary, let , and let be an affinely parametrized geodesic. Let and let be an affine bijection, with . Put . Composition defines a real-linear isomorphism where is the endpoint-vanishing Jacobi-field space from Conjugate points along a geodesic and their multiplicity. Thus the two endpoint spaces have the same dimension: and are conjugate along if and only if and are conjugate along , and their multiplicities agree whenever they are conjugate. If , the two endpoints are exchanged. Constant geodesics and dimension zero are included.
Facts & Assumptions
Given: The finite-dimensional Riemannian manifold, the geodesic segment, and the affine bijection in the statement.
A smooth field is Jacobi exactly when throughout the interval (Jacobi field).
consists of the Jacobi fields vanishing at both endpoints; it is a finite-dimensional real vector space, conjugacy means it contains a nonzero field, and multiplicity is its real dimension when the endpoints are conjugate (Conjugate points along a geodesic and their multiplicity).
A field along is a smooth section of the pulled-back tangent bundle; in a pulled-back frame it has smooth coefficient functions (Vector field and section along a smooth curve).
Composing an affinely parametrized geodesic with an affine parameter map gives a geodesic (Affine reparametrization of a geodesic is a geodesic).
In a local frame, if and , then (Local frame formula for covariant differentiation along a curve).
At each point, the curvature map on three tangent vectors is trilinear (Curvature is a type (1,3) tensor).
For differentiable real functions, the derivative of a composite is the product of the outer derivative and inner derivative (The chain rule, in one line from Carathéodory: if is differentiable at and is differentiable at , then is differentiable at with ).
A function between real vector spaces is linear when it preserves every linear combination (Linear map between vector spaces over the same field).
A linear map with a two-sided linear inverse is a linear isomorphism (Invertible linear maps, linear isomorphisms, and inverse linear maps).
Isomorphic finite-dimensional real vector spaces have equal dimension (Two finite-dimensional vector spaces over are linearly isomorphic if and only if they have the same dimension).
Each tangent space of a smooth -manifold is an -dimensional real vector space (The tangent space of an n-manifold has dimension n).
A vector space of dimension zero is the zero space (Finite-dimensional vector space, and its dimension ; infinite-dimensional means having no finite basis).
Proof
Proof technique: Pull fields back by the affine bijection and transform the Jacobi equation in a local frame.
Define . Since is affine, [F4] makes a geodesic; by [F3], composing the smooth local-frame coefficients of a field with the smooth map gives a smooth field along it. The intervals are nondegenerate by and .
Locally write and ; then and . The coefficient column becomes , so the chain rule [F7] and frame formula [F5] give and, applying it again, . These local identities are intrinsic and hold at included endpoints with one-sided derivatives.
The velocity scales by ; trilinearity of curvature [F6] gives . Hence the full Jacobi operator of equals . By [F1], a Jacobi field pulls back to a Jacobi field; applying the same calculation to , whose slope is , proves the converse.
Since bijects the endpoints, vanishes at exactly when vanishes at , even when exchanges their order. Steps 1.1, 1.2, and 2.1 show maps the endpoint-vanishing Jacobi space to the other one with inverse pullback by ; composition preserves every real linear combination, so [F8] makes linear and [F9] makes it a linear isomorphism.
Both spaces are finite-dimensional by [F2], so their isomorphism gives equal dimensions by [F10]. Since and its inverse preserve nonzero fields, each space contains a nonzero Jacobi field exactly when the other does; [F2] then gives both directions of conjugacy and equality of multiplicities. If , [F11] and [F12] make every tangent fiber zero, so both endpoint spaces are zero; if is constant in any dimension, [F2] gives the same conclusion. No choice principle is needed because is explicit. [F2, F10, F11, F12, step 3.1, given]
Source locator
Lee, Riemannian Manifolds: An Introduction to Curvature, Chapter 10, “Conjugate Points,” printed p.182 / PDF label P198, lines 7174–7184, defines conjugacy along a specified segment and multiplicity as the dimension of its endpoint-vanishing Jacobi-field space. Datar, Lectures on Riemannian Geometry, Lecture 22, §22.3, printed pp.163–164 / PDF labels P170–171, lines 9304–9314, gives the same endpoint-space definition and notes symmetry under reversal. Neither passage proves arbitrary nonzero affine reparametrization invariance; the pullback and scaled-equation calculation above supplies that claim, including multiplicity.
Depends on
- Jacobi field
- Conjugate points along a geodesic and their multiplicity
- Vector field and section along a smooth curve
- Affine reparametrization of a geodesic is a geodesic
- Local frame formula for covariant differentiation along a curve
- Curvature is a type (1,3) tensor
- The chain rule, in one line from Carathéodory: if $g$ is differentiable at $c$ and $f$ is differentiable at $g(c)$, then $f \circ g$ is differentiable at $c$ with $(f \circ g)'(c) = f'(g(c))\,g'(c)$
- Linear map between vector spaces over the same field
- Invertible linear maps, linear isomorphisms, and inverse linear maps
- Two finite-dimensional vector spaces over $F$ are linearly isomorphic if and only if they have the same dimension
- The tangent space of an n-manifold has dimension n
- Finite-dimensional vector space, and its dimension $\dim_F V$; infinite-dimensional means having no finite basis
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Sources
- John M. Lee, Riemannian Manifolds: An Introduction to Curvature (1997) (standard reference, not scraped)
- Ved Datar, Lectures on Riemannian Geometry (2025) (standard reference, not scraped)