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Finsler manifold

Generalization of Riemannian manifolds

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Through Mathematics and Curve

L(γ)=∫abF(γ(t),γ˙(t))dt.

Finsler manifolds are more general than Riemannian manifolds since the tangent norms need not be induced by inner products. Despite their generality, many concepts in Riemannian geometry still exist, including length, geodesics, curvature, connections, covariant derivative, and Cartan structural equations, except that they are lifted from the manifold to the tangent bundle. However, normal coordinates do not.

Every Finsler manifold becomes an intrinsic quasimetric space when the distance between two points is defined as the infimum length of the curves that join them.

Élie Cartan (1933) named Finsler manifolds after Paul Finsler, who studied this geometry in his dissertation (Finsler 1918).

Definition

A Finsler manifold is a differentiable manifold M together with a Finsler metric, which is a continuous nonnegative function F: TM → [0, +∞) defined on the tangent bundle so that for each point x of M,

  • F(v + w) ≤ F(v) + F(w) for every two vectors v,w tangent to M at x (subadditivity).
  • F(λv) = λF(v) for all λ ≥ 0 (but not necessarily for λ < 0) (positive homogeneity).
  • F(v) > 0 unless v = 0 (positive definiteness).

In other words, F(x, −) is an asymmetric norm on each tangent space TxM. The Finsler metric F is also required to be smooth, more precisely:

  • F is smooth on the complement of the zero section of TM.

The subadditivity axiom may then be replaced by the following strong convexity condition:

Here the Hessian of F2 at v is the symmetric bilinear form

gv(X,Y):=12∂2∂s∂t[F(v+sX+tY)2]|s=t=0,

also known as the fundamental tensor of F at v. Strong convexity of F implies the subadditivity with a strict inequality if u⁄F(u) ≠ v⁄F(v). This can be interpreted as having a smooth family of Riemannian metrics defined on every point in T(M)/R+, the space of all line-directions. Intuitively, "how long something is depends on which way you are looking".

A Finsler metric is reversible if F(−v)=F(v). A Finsler metric is reversible iff it defines a norm on each tangent space. Finsler gave walking time as an example non-reversible metric: walking uphill is slower than walking downhill.

Visualization

The geometry of a Finsler manifold may be visualized by the Tissot indicatrix construction, i.e. by drawing the balls of unit radius in the tangent space of each point. The Finsler function is then just the Minkowski function of these balls.

Positive homogeneity means that the graph of v↦F(x,v), plotted on TxM, looks like a cone with the unit ball being its cross-section.

Positive definiteness means each ball is bounded and contains the origin in its interior.

Smoothness and strong convexity imply that the balls have smooth and strongly convex boundaries that vary smoothly as the base point is changed. Strong convexity geometrically means that, at any point on the boundary of a ball, the local boundary osculates a hyperellipsoid (i.e. a quadratic hypersurface). In particular, the osculating hyperellipsoid can be uniquely chosen so that it is centered at the origin, corresponding to the symmetric bilinear form gv.

Strong convexity allows a well-behaved Legendre transformation between its tangent and cotangent spaces.

A Finsler metric is reversible if its balls are point-symmetric.

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