In
mathematics
Mathematics is an area of knowledge that includes the topics of numbers, formulas and related structures, shapes and the spaces in which they are contained, and quantities and their changes. These topics are represented in modern mathematics ...
, particularly
differential geometry
Differential geometry is a mathematical discipline that studies the geometry of smooth shapes and smooth spaces, otherwise known as smooth manifolds. It uses the techniques of differential calculus, integral calculus, linear algebra and multili ...
, a Finsler manifold is a
differentiable manifold
In mathematics, a differentiable manifold (also differential manifold) is a type of manifold that is locally similar enough to a vector space to allow one to apply calculus. Any manifold can be described by a collection of charts (atlas). One ma ...
where a (possibly
asymmetric
Asymmetric may refer to:
*Asymmetry in geometry, chemistry, and physics
Computing
* Asymmetric cryptography, in public-key cryptography
*Asymmetric digital subscriber line, Internet connectivity
* Asymmetric multiprocessing, in computer architect ...
)
Minkowski functional
In mathematics, in the field of functional analysis, a Minkowski functional (after Hermann Minkowski) or gauge function is a function that recovers a notion of distance on a linear space.
If K is a subset of a real or complex vector space X, then ...
is provided on each tangent space , that enables one to define the length of any
smooth curve as
:
Finsler manifolds are more general than
Riemannian manifold
In differential geometry, a Riemannian manifold or Riemannian space , so called after the German mathematician Bernhard Riemann, is a real manifold, real, smooth manifold ''M'' equipped with a positive-definite Inner product space, inner product ...
s since the tangent norms need not be induced by
inner products.
Every Finsler manifold becomes an
intrinsic quasimetric space
In mathematics, a metric space is a set together with a notion of ''distance'' between its elements, usually called points. The distance is measured by a function called a metric or distance function. Metric spaces are the most general settin ...
when the distance between two points is defined as the infimum length of the curves that join them.
named Finsler manifolds after
Paul Finsler, who studied this geometry in his dissertation .
Definition
A Finsler manifold is a
differentiable manifold
In mathematics, a differentiable manifold (also differential manifold) is a type of manifold that is locally similar enough to a vector space to allow one to apply calculus. Any manifold can be described by a collection of charts (atlas). One ma ...
together with a Finsler metric, which is a continuous nonnegative function defined on the
tangent bundle so that for each point of ,
* for every two vectors tangent to at (
subadditivity In mathematics, subadditivity is a property of a function that states, roughly, that evaluating the function for the sum of two elements of the domain always returns something less than or equal to the sum of the function's values at each element. ...
).
* for all (but not necessarily for (
positive homogeneity).
* unless (
positive definiteness).
In other words, is an
asymmetric norm on each tangent space . The Finsler metric is also required to be smooth, more precisely:
* is
smooth on the complement of the zero section of .
The subadditivity axiom may then be replaced by the following strong convexity condition:
* For each tangent vector , the
Hessian matrix of at is
positive definite.
Here the Hessian of at is the
symmetric bilinear form
In mathematics, a bilinear form is a bilinear map on a vector space (the elements of which are called '' vectors'') over a field ''K'' (the elements of which are called ''scalars''). In other words, a bilinear form is a function that is linear i ...
:
also known as the fundamental tensor of at . Strong convexity of implies the subadditivity with a strict inequality if . If is strongly convex, then it is a Minkowski norm on each tangent space.
A Finsler metric is reversible if, in addition,
* for all tangent vectors ''v''.
A reversible Finsler metric defines a
norm (in the usual sense) on each tangent space.
Examples
* Smooth submanifolds (including open subsets) of a
normed vector space of finite dimension are Finsler manifolds if the norm of the vector space is smooth outside the origin.
*
Riemannian manifold
In differential geometry, a Riemannian manifold or Riemannian space , so called after the German mathematician Bernhard Riemann, is a real manifold, real, smooth manifold ''M'' equipped with a positive-definite Inner product space, inner product ...
s (but not
pseudo-Riemannian manifolds) are special cases of Finsler manifolds.
Randers manifolds
Let
be a
Riemannian manifold
In differential geometry, a Riemannian manifold or Riemannian space , so called after the German mathematician Bernhard Riemann, is a real manifold, real, smooth manifold ''M'' equipped with a positive-definite Inner product space, inner product ...
and ''b'' a
differential one-form on ''M'' with
:
where
is the
inverse matrix of
and the
Einstein notation
In mathematics, especially the usage of linear algebra in Mathematical physics, Einstein notation (also known as the Einstein summation convention or Einstein summation notation) is a notational convention that implies summation over a set of ...
is used. Then
:
defines a Randers metric on ''M'' and
is a Randers manifold, a special case of a non-reversible Finsler manifold.
Smooth quasimetric spaces
Let (''M'', ''d'') be a
quasimetric so that ''M'' is also a
differentiable manifold
In mathematics, a differentiable manifold (also differential manifold) is a type of manifold that is locally similar enough to a vector space to allow one to apply calculus. Any manifold can be described by a collection of charts (atlas). One ma ...
and ''d'' is compatible with the
differential structure of ''M'' in the following sense:
* Around any point ''z'' on ''M'' there exists a smooth chart (''U'', φ) of ''M'' and a constant ''C'' ≥ 1 such that for every ''x'', ''y'' ∈ ''U''
*:
* The function ''d'': ''M'' × ''M'' →
, ∞is
smooth in some punctured neighborhood of the diagonal.
Then one can define a Finsler function ''F'': ''TM'' →
, ∞by
:
where ''γ'' is any curve in ''M'' with ''γ''(0) = ''x'' and ''γ(0) = v. The Finsler function ''F'' obtained in this way restricts to an asymmetric (typically non-Minkowski) norm on each tangent space of ''M''. The
induced intrinsic metric of the original
quasimetric can be recovered from
:
and in fact any Finsler function ''F'': T''M'' →
[0, ∞) defines an
intrinsic quasimetric ''d''
''L'' on ''M'' by this formula.
Geodesics
Due to the homogeneity of ''F'' the length
:
of a differentiable curve ''γ'': [''a'', ''b''] → ''M'' in ''M'' is invariant under positively oriented parametrization (geometry), reparametrizations. A constant speed curve ''γ'' is a
geodesic
In geometry, a geodesic () is a curve representing in some sense the shortest path ( arc) between two points in a surface, or more generally in a Riemannian manifold. The term also has meaning in any differentiable manifold with a connection. ...
of a Finsler manifold if its short enough segments ''γ'',
'c'',''d''/sub> are length-minimizing in ''M'' from ''γ''(''c'') to ''γ''(''d''). Equivalently, ''γ'' is a geodesic if it is stationary for the energy functional
:
in the sense that its functional derivative
In the calculus of variations, a field of mathematical analysis, the functional derivative (or variational derivative) relates a change in a functional (a functional in this sense is a function that acts on functions) to a change in a function on ...
vanishes among differentiable curves with fixed endpoints and .
Canonical spray structure on a Finsler manifold
The Euler–Lagrange equation for the energy functional ''E'' 'γ''reads in the local coordinates (''x''1, ..., ''x''n, ''v''1, ..., ''v''n) of T''M'' as
:
where ''k'' = 1, ..., ''n'' and ''g''ij is the coordinate representation of the fundamental tensor, defined as
:
Assuming the strong convexity of ''F''2(''x'', ''v'') with respect to ''v'' ∈ T''x''''M'', the matrix ''g''''ij''(''x'', ''v'') is invertible and its inverse is denoted by ''g''''ij''(''x'', ''v''). Then is a geodesic of (''M'', ''F'') if and only if its tangent curve is an integral curve of the smooth vector field ''H'' on T''M''∖ locally defined by
:
where the local spray coefficients ''G''i are given by
:
The vector field ''H'' on T''M''∖ satisfies ''JH'' = ''V'' and 'V'', ''H''nbsp;= ''H'', where ''J'' and ''V'' are the canonical endomorphism and the canonical vector field
In differential geometry, the tangent bundle of a differentiable manifold M is a manifold TM which assembles all the tangent vectors in M . As a set, it is given by the disjoint unionThe disjoint union ensures that for any two points and of ...
on T''M''∖. Hence, by definition, ''H'' is a spray
Spray or spraying commonly refer to:
* Spray (liquid drop)
** Aerosol spray
** Blood spray
** Hair spray
** Nasal spray
** Pepper spray
** PAVA spray
** Road spray or tire spray, road debris kicked up from a vehicle tire
** Sea spray, refers to ...
on ''M''. The spray ''H'' defines a nonlinear connection on the fibre bundle through the vertical projection
:
In analogy with the Riemannian case, there is a version
:
of the Jacobi equation In Riemannian geometry, a Jacobi field is a vector field along a geodesic \gamma in a Riemannian manifold describing the difference between the geodesic and an "infinitesimally close" geodesic. In other words, the Jacobi fields along a geodesic for ...
for a general spray structure (''M'', ''H'') in terms of the Ehresmann curvature and nonlinear covariant derivative.
Uniqueness and minimizing properties of geodesics
By Hopf–Rinow theorem there always exist length minimizing curves (at least in small enough neighborhoods) on (''M'', ''F''). Length minimizing curves can always be positively reparametrized to be geodesics, and any geodesic must satisfy the Euler–Lagrange equation for ''E'' 'γ'' Assuming the strong convexity of ''F''2 there exists a unique maximal geodesic ''γ'' with ''γ''(0) = x and ''γ(0) = v for any (''x'', ''v'') ∈ T''M''∖ by the uniqueness of integral curves.
If ''F''2 is strongly convex, geodesics ''γ'': , ''b''nbsp;→ ''M'' are length-minimizing among nearby curves until the first point ''γ''(''s'') conjugate to ''γ''(0) along ''γ'', and for ''t'' > ''s'' there always exist shorter curves from ''γ''(0) to ''γ''(''t'') near ''γ'', as in the Riemannian case.
Notes
References
*
*
*
*
* (Reprinted by Birkhäuser (1951))
*
*
External links
*
The (New) Finsler Newsletter
{{Riemannian geometry
Differential geometry
Finsler geometry
Riemannian geometry
Riemannian manifolds
Smooth manifolds