Riemann–Finsler Geometry MSRI Publications Volume 50, 2004
Landsberg Curvature, S-Curvature and Riemann Curvature
ZHONGMIN SHEN
Contents 1. Introduction 303 2. Finsler Metrics 304 3. Cartan Torsion and Matsumoto Torsion 311 4. Geodesics and Sprays 313 5. Berwald Metrics 315 6. Gradient, Divergence and Laplacian 317 7. S-Curvature 319 8. Landsberg Curvature 321 9. Randers Metrics with Isotropic S-Curvature 323 10. Randers Metrics with Relatively Isotropic L-Curvature 325 11. Riemann Curvature 327 12. Projectively Flat Metrics 330 13. The Chern Connection and Some Identities 333 14. Nonpositively Curved Finsler Manifolds 337 15. Flag Curvature and Isotropic S-Curvature 341 16. Projectively Flat Metrics with Isotropic S-Curvature 342 17. Flag Curvature and Relatively Isotropic L-Curvature 348 References 351
1. Introduction
Roughly speaking, Finsler metrics on a manifold are regular, but not neces- sarily reversible, distance functions. In 1854, B. Riemann attempted to study a special class of Finsler metrics — Riemannian metrics — and introduced what is now called the Riemann curvature. This infinitesimal quantity faithfully reveals the local geometry of a Riemannian manifold and becomes the central concept of Riemannian geometry. It is a natural problem to understand general regu- lar distance functions by introducing suitable infinitesimal quantities. For more than half a century, there had been no essential progress until P. Finsler studied the variational problem in a Finsler manifold. However, it was L. Berwald who
303 304 ZHONGMIN SHEN
first successfully extended the notion of Riemann curvature to Finsler metrics by introducing what is now called the Berwald connection. He also introduced some non-Riemannian quantities via his connection [Berwald 1926; 1928]. Since then, Finsler geometry has been developed gradually. The Riemann curvature is defined using the induced spray, which is indepen- dent of any well-known connection in Finsler geometry. It measures the shape of the space. The Cartan torsion and the distortion are two primary geometric quantities describing the geometric properties of the Minkowski norm in each tangent space. Differentiating them along geodesics gives rise to the Landsberg curvature and the S-curvature. These quantities describe the rates of change of the “color pattern” on the space. In this article, I am going to discuss the geometric meaning of the Landsberg curvature, the S-curvature, the Riemann curvature, and their relationship. I will give detailed proofs for several important local and global results.
2. Finsler Metrics
By definition, a Finsler metric on a manifold is a family of Minkowski norms on the tangent spaces. A Minkowski norm on a vector space V is a nonnegative function F : V [0, ) with the following properties: → ∞ (i) F is positively y-homogeneous of degree one, i.e., F (λy) = λF (y) for any y V and any λ > 0; ∈ (ii) F is C∞ on V 0 and for any tangent vector y V 0 , the following \ { } ∈ \ { } bilinear symmetric form g : V V R is positive definite: y × → 1 ∂2 g (u, v) := F 2(y + su + tv) . y 2 ∂s∂t |s=t=0 A Minkowski norm is said to be reversible if F ( y) = F (y) for y V. In this − ∈ article, Minkowski norms are not assumed to be reversible. From (i) and (ii), one can show that F (y) > 0 for y = 0 and F (u + v) F (u) + F (v) for u, v V. 6 ≤ ∈ See [Bao et al. 2000] for a proof. Let , denote the standard inner product on Rn, defined by u, v := h i h i n uivi. Then y := y, y is called the standard Euclidean norm on Rn. i=1 | | h i PLet b Rn with b < 1, pthen F = y + b, y is a Minkowski norm on Rn, which ∈ | | | | h i is called a Randers norm. ∞ Let M be a connected, n-dimensional, C manifold. Let T M = x∈M TxM be the tangent bundle of M, where T M is the tangent space at xS M. We x ∈ denote a typical point in T M by (x, y), where y T M, and set T M := T M 0 ∈ x 0 \{ } where 0 stands for (x, 0) x X, 0 T M . A Finsler metric on M is a { } { | ∈ ∈ x } function F : T M [0, ) with the following properties: → ∞ ∞ (a) F is C on T M0; (b) At each point x M, the restriction F := F is a Minkowski norm on ∈ x |TxM TxM. LANDSBERG, S- AND RIEMANN CURVATURES 305
The pair (M, F ) is called a Finsler manifold. Let (M, F ) be a Finsler manifold. Let (xi, yi) be a standard local coordinate i i i system in T M, i.e., y ’s are determined by y = y (∂/∂x ) x. For a vector y = i i 1 2 | y (∂/∂x ) = 0, let g (x, y) := [F ] i j (x, y). The induced inner product g |x 6 ij 2 y y y is given by i j gy(u, v) = gij (x, y)u v , where u = ui(∂/∂xi) and v = vi(∂/∂xi) . By the homogeneity of F , |x |x i j F (x, y) = gy(y, y) = gij(x, y)y y . q q A Finsler metric F = F (x, y) is called a Riemannian metric if the gij = gij(x) are functions of x M only. ∈ There are three special Riemannian metrics. Example 2.1 (Euclidean metric). The simplest metric is the Euclidean n metric α0 = α0(x, y) on R , which is defined by α (x, y) := y , y = (yi) T Rn = Rn. (2–1) 0 | | ∈ x ∼ n n We will simply denote (R , α0) by R , which is called Euclidean space. Example 2.2 (Spherical metric). Let Sn := x Rn+1 x = 1 denote the n+1 { ∈ | |n | } standard unit sphere in R . Every tangent vector y TxS can be identified n+1 ∈ n with a vector in R in a natural way. The induced metric α+1 on S is defined by α = y , for y T Sn Rn+1, where denotes the induced Euclidean +1 k kx ∈ x ⊂ k·kx norm on T Sn. Let ϕ : Rn Sn Rn+1 be defined by x → ⊂ x 1 ϕ(x) := , . (2–2) 1 + x 2 1 + x 2 | | | | p p n Then ϕ pulls back α+1 on the upper hemisphere to a Riemannian metric on R , which is given by y 2 + ( x 2 y 2 x, y 2) α = | | | | | | − h i , y T Rn = Rn. (2–3) +1 p 1 + x 2 ∈ x ∼ | | Example 2.3 (Hyperbolic metric). Let Bn denote the unit ball in Rn. Define y 2 ( x 2 y 2 x, y 2) α := | | − | | | | − h i , y T Bn = Rn. (2–4) −1 p 1 x 2 ∈ x ∼ − | | n n We call α−1 the Klein metric and denote (B , α−1) by H . The metrics (2–1), (2–3) and (2–4) can be combined into one formula: (1 + µ x 2) y 2 µ x, y 2 α = | | | | − h i . (2–5) µ p 1 + µ x 2 | | Of course, there are many non-Riemannian Finsler metrics on Rn with special geometric properties. We just list some of them below and discuss their geometric properties later. 306 ZHONGMIN SHEN
Example 2.4 (Funk metric). Let
y 2 ( x 2 y 2 x, y 2) + x, y Θ := | | − | | | | − h i h i , y T Bn = Rn. (2–6) p 1 x 2 ∈ x ∼ − | | Θ = Θ(x, y) is a Finsler metric on Bn, called the Funk metric on Bn. For an arbitrary constant vector a Rn with a < 1, let ∈ | | y 2 ( x 2 y 2 x, y 2) + x, y a, y Θ := | | − | | | | − h i h i + h i . (2–7) a p 1 x 2 1 + a, x − | | h i n n n where y TxB ∼= R . Θa = Θa(x, y) is a Finsler metric on B . Note that ∈ n Θ0 = Θ is the Funk metric on B . We call Θa the generalized Funk metric on Bn [Shen 2003a].
Example 2.5 [Shen 2003b]. Let δ be an arbitrary number with δ < 1. Let
y 2 ( x 2 y 2 x, y 2)+ x, y y 2 δ2( x 2 y 2 x, y 2)+δ x, y F := | | − | | | | −h i h i δ | | − | | | | −h i h i , δ p 2(1 x 2) − p 2(1 δ2 x 2) −| | − | | where y T Bn = Rn. F is a Finsler metric on Bn. Note that F = α is ∈ x ∼ δ −1 −1 the Klein metric on Bn. Let Θ be the Funk metric on Bn defined in (2–6). We can express Fδ by F = 1 Θ(x, y) δΘ(δx, y) . δ 2 − Example 2.6 [Berwald 1929b]. Let
2 y 2 ( x 2 y 2 x, y 2) + x, y B := | | − | | | | − h i h i , (2–8) (1p x 2)2 y 2 ( x 2 y 2 x, y 2) − | | | | − | | | | − h i p where y T Bn = Rn. Then B = B(x, y) is a Finsler metric on Bn. ∈ x ∼ Example 2.7. Let ε be an arbitrary number with ε < 1. Let | | 1 2 2 4 2 2 √ 2 Ψ 2 ( Φ +(1 ε ) y +Φ) + (1 ε ) x, y + 1 ε x, y F := q − | | − h i − h i , (2–9) ε p Ψ where Φ := ε y 2 + ( x 2 y 2 x, y 2), Ψ := 1 + 2ε x 2 + x 4. | | | | | | − h i | | | | n Fε = Fε(x, y) is a Finsler metric on R . Note that if ε = 1, then F1 = α+1 is the spherical metric on Rn. R. Bryant [1996; 1997] classified Finsler metrics on the standard unit sphere S2 with constant flag curvature equal to +1 and geodesics being great circles. The Finsler metrics Fε in (2–9) is a special family of Bryant’s metrics expressed in a local coordinate system. See Example 12.7 for further discussion. LANDSBERG, S- AND RIEMANN CURVATURES 307
The examples of Finsler metrics above all have special geometric properties. They are locally projectively flat with constant flag curvature. Some belong to the class of (α, β)-metrics, that is, those of the form β F = α φ , (2–10) α i j i where α = αx(y) = aij (x)y y is a Riemannian metric, β = βx(y) = bi(x)y is a 1-form, and φ ispa C∞ positive function on some interval I = [ r, r] big − enough that r β/α for all x and y T M. It is easy to see that any such ≥ ∈ x F is positively homogeneous of degree one. Let β x := supy∈TxM βx(y)/αx(y). k k 1 2 Using a Maple program, we find that the Hessian gij := 2 [F ]yiyj is
gij = ρaij + ρ0bibj + ρ1(biαj + bj αi) + ρ2αiαj , where αi = αyi and ρ = φ2 sφφ0, ρ = φφ00 + φ0φ0, − 0 ρ = s(φφ00 + φ0φ0) + φφ0, ρ = s2(φφ00 + φ0φ0) sφφ0, 1 − 2 − where s := β/α with s β r. Then | | ≤ k kx ≤ det (g ) = φn+1 (φ sφ0)n−2 (φ sφ0) + ( β 2 s2)φ00 det (a ) . ij − − k kx − ij If φ = φ(s) satisfies
φ(s) > 0, φ(s) sφ0(s) > 0, (φ sφ0) + (b2 s2)φ00(s) 0 (2–11) − − − ≥ for all s with s b r, then (g ) is positive definite; hence F is a Finsler | | ≤ ≤ ij metric. Sabau and Shimada [2001] have classified (α, β)-metrics into several classes and computed the Hessian gij for each class. Below are some special (α, β)- metrics. (a) φ(s) = 1 + s. The defined function F = α + β is a Finsler metric if and only if the norm of β with respect to α is less than 1 at any point:
ij β x := a (x)bi(x)bj (x) < 1, x M. k k q ∈ A Finsler metric in this form is called a Randers metric. The Finsler metrics in Example 2.4 are Randers metrics. The Finsler metrics in Example 2.5 is the sum of two Randers metrics. (b) φ(s) = (1 + s)2. The defined function F = (α + β)2/α is a Finsler metric if and only if β < 1 at any point x M. The Finsler metric in Example 2.6 k kx ∈ is in this form. By a Finsler structure on a manifold M we usually mean a Finsler metric. Sometimes, we also define a Finsler structure as a scalar function F ∗ on T ∗M such that F ∗ is C∞ on T ∗M 0 and F ∗ := F ∗ ∗ is a Minkowski norm on \ { } x |Tx M 308 ZHONGMIN SHEN
T ∗M for x M. Such a function is called a co-Finsler metric. Given a co-Finsler x ∈ metric, one can define a Finsler metric via the standard duality defined below. Let F ∗ = F ∗(x, ξ) be a co-Finsler metric on a manifold M. Define a non- negative scalar function F = F (x, y) on T M by ξ(y) F (x, y) := sup . ∗ ∗ ξ∈Tx M F (x, ξ) Then F = F (x, y) is a Finsler metric on M, said to be dual to F ∗. In the same sense, F ∗ = F ∗(x, ξ) is also dual to F : ξ(y) F ∗(x, ξ) = sup . y∈TxM F (x, y) Every vector y T M 0 uniquely determines a covector ξ T ∗M 0 by ∈ x \ { } ∈ x \ { } 1 d ξ(w) := F 2(x, y + tw) , w T M. 2 dt |t=0 ∈ x The resulting map ` : y T M ξ T ∗M is called the Legendre transforma- x ∈ x → ∈ x tion at x. Similarly, every covector ξ T ∗M 0 uniquely determines a vector ∈ x \ { } y T M 0 by ∈ x \ { } 1 d η(y) := F ∗2(x, ξ + tη) , η T ∗M. 2 dt |t=0 ∈ x ∗ ∗ The resulting map `x : ξ Tx M y TxM is called the inverse Legendre ∈ → ∗ ∈ transformation at x. Indeed, `x and `x are inverses of each other. Moreover, they preserve the Minkowski norms:
∗ ∗ ∗ F (x, y) = F (x, `x(y)), F (x, ξ) = F (x, `x(ξ)). (2–12) Let Φ = Φ(x, y) be a Finsler metric on a manifold M and let Φ∗ = Φ∗(x, ξ) be the co-Finsler metric dual to Φ. By the above formulas, one can easily show that if y T M 0 and ξ T ∗M 0 satisfy ∈ x \ { } ∈ x \ { } d Φ∗(x, ξ + tη) = η(y), η T ∗M. dt |t=0 ∈ x Then Φ(x, y) = 1. (2–13) Let V be a vector field on M with Φ(x, V ) < 1 and let V ∗ : T ∗M [0, ) − x → ∞ denote the 1-form dual to V , defined by
V ∗(ξ) = ξ(V ), ξ T ∗M. x x ∈ x We have Φ∗(x, V ∗) = Φ(x, V ) < 1. Thus F ∗ := Φ∗ + V ∗ is a co-Finsler − x − x metric on M. Define F = F (x, y) by ξ(y) F (x, y) := sup , y TxM. (2–14) ∗ ∗ ξ∈Tx M F (x, ξ) ∈ LANDSBERG, S- AND RIEMANN CURVATURES 309
F is a Finsler metric on M, called the Finsler metric generated from the pair (Φ, V ). One can also define F in a different way without using the duality:
Lemma 2.8. Let Φ = Φ(x, y) be a Finsler metric on M and let V be a vector field on M with Φ(x, V ) < 1 for all x M. Then F = F (x, y) defined in − x ∈ (2–14) satisfies y Φ x, Vx = 1, y TxM. (2–15) F (x, y) − ∈ Conversely, if F = F (x, y) is defined by (2–15), it is dual to the co-Finsler metric F ∗ := Φ∗ + V ∗ as defined in (2–14).
Proof. For the co-Finsler metric F ∗ = Φ∗ + V ∗, let F = F (x, y) be defined in (2–14). Fix an arbitrary nonzero vector y T M. There is a covector ξ T ∗M ∈ x ∈ x such that ξ(y) F (x, y) = . (2–16) F ∗(x, ξ) Let η T ∗M be an arbitrary covector. Consider the function ∈ x ξ(y) + tη(y) h(t) := ∗ . Φ (x, ξ + tη) + ξ(Vx) + tη(Vx)
Then h(t) h(0) = F (x, y). Thus h0(0) = 0: ≤ d η(y)F ∗(x, ξ) ξ(y) Φ∗(x, ξ + tη) + η(V ) = 0. − dt |t=0 x Dividing by F ∗(x, ξ) and using (2–16), one obtains
d η(y) F (x, y) Φ∗(x, ξ + tη) + η(V ) = 0. − dt |t=0 x From this identity it follows that d y Φ∗(x, ξ + tη) = η V , η T ∗M. dt |t=0 F (x, y) − x ∈ x Thus F (x, y) satisfies (2–15) as we have explained in (2–13). Conversely, let F = F (x, y) be defined by (2–15). Then for any ξ T ∗M, ∈ x y Φ∗(x, ξ) = sup η V . F (x, y) x y∈TxM − One obtains ξ(y) y sup = sup ξ V + ξ(V ) = Φ∗(x, ξ) + V ∗(ξ) = F ∗(x, ξ). F (x, y) F (x, y) x x x y∈TxM y∈TxM − Thus F ∗ is dual to F and so F is dual to F ∗, that is, F is given by (2–14). 310 ZHONGMIN SHEN
i j i i Let Φ = φij(x)y y be a Riemannian metric and let V = V (x)(∂/∂x ) be a vector fieldpon a manifold M with
i j Φ(x, Vx) = V x := φij (x)V (x)V (x) < 1, x M. − k k q ∈ Solving (2–15) for F = F (x, y), one obtains (1 φ V iV j )φ yiyj + (φ yiV j )2 φ yiV j F = − ij ij ij − ij . (2–17) p 1 φ V iV j − ij Clearly, F is a Randers metric. It is easy to verify that any Randers metric i j i F = α+β, where α = aij(x)y y and β = bi(x)y , can be expressed in the form (2–17). According to pLemma 2.8, any Randers metric F = α + β expressed in ∗ ij the form (2–17) can be constructed in the following way. Let Φ := φ (x)ξiξj i j ∗ i be the Riemannian metric dual to Φ = φij(x)y y and V := ξ(Vxp) = V (x)ξi ∗ ∗ ∗ ij i be the 1-form dual to V . Then F := Φp(x, ξ) + V (ξ) = φ (x)ξiξj + V (x)ξi is a co-Finsler metric on M. Moreover, the dual Finsler metricp F of F ∗ is given by (2–17). This is proved in [Hrimiuc and Shimada 1996]. It was discovered in [Shen 2003c; 2002] that if Φ is a Riemannian metric of constant curvature and V is a special vector field, the generated metric F is of constant flag curvature. This discovery opens the door to a classification of Randers metrics of constant flag curvature [Bao et al. 2003]. But Maple programs played an important role in the computations that led to it. Example 2.9. Let φ = φ(y) be a Minkowski norm on Rn and let
U := y Rn φ(y) < 1 . φ ∈ | Define Φ(x, y) := φ(y), y T Rn = Rn. ∈ x ∼ Φ = Φ(x, y) is called a Minkowski metric on Rn. Let V := x, for x Rn. V x − ∈ is a radial vector field pointing toward the origin. For any x U , ∈ φ Φ x, V = φ(x) < 1. − x The pair (Φ, V ) generates a Finsler metric Θ = Θ(x, y) on Uφ by (2–15): Θ(x, y) = φ y + Θ(x, y)x . (2–18) Differentiating with respect to xk and yk separately, one obtains
l 1 φ l (w)x Θ k (x, y) = φ k (w)Θ(x, y), − w x w l 1 φ l (w)x Θ k (x, y) = φ k (w), − w y w where w := y + Θ(x, y)x. It follows that
Θxk (x, y) = Θ(x, y)Θyk (x, y). (2–19) This argument is from [Okada 1983]. LANDSBERG, S- AND RIEMANN CURVATURES 311
n A domain Uφ in R defined by a Minkowski norm φ is called a strongly convex domain. A Finsler metric Θ = Θ(x, y) defined in (2–18) is called the Funk metric on a strongly convex domain in Rn. When φ = y is the standard Euclidean n n | | metric on R , Uφ = B is the standard unit ball and Θ = Θ(x, y) is given by (2–6). Equation (2–19) is the key property of Θ, from which one can derive other geometric properties of Θ. Definition 2.10. A Finsler function Θ = Θ(x, y) on an open subset in Rn is called a Funk metric if it satisfies (2–19). Example 2.11. Let Φ(x, y) := y be the standard Euclidean metric on Rn and | | let V = V (x) be a vector field on Rn defined by V := x 2a 2 a, x x, x | | − h i where a Rn is a constant vector. Note that ∈ Φ(x, V ) = φ V iV j = V = a x 2 < 1, x Bn(1/ a ), − x ij | x| | || | ∈ | | p p and that φ yiV j = x 2 a, y 2 a, x x, y . ij | | h i − h ih i Given the pair (Φ, V ) above, one obtains, by solving (2–15) for F ,
2 x 2 a, y 2 a, x x, y + y 2 1 a 2 x 4 x 2 a, y 2 a, x x, y F = q | | h i− h ih i | | −| | | | − | | h i− h ih i . 1 a 2 x 4 − | | | | (2–20) This Randers metric F has very important properties. It is of scalar curvature and isotropic S-curvature. But the flag curvature and the S-curvature are not constant. See Example 11.2 below for further discussion.
3. Cartan Torsion and Matsumoto Torsion
To characterize Euclidean norms, E. Cartan [1934] introduced what is now called the Cartan torsion. Let F = F (y) be a Minkowski norm on a vector space V. Fix a basis b for V. Then F = F (yib ) is a function of (yi). Let { i} i 1 2 1 2 jk gij := 2 [F ]yiyj , Cijk := 4 [F ]yiyj yk (y), Ii := g (y)Cijk(y), ij −1 where (g ) := (gij ) . It is easy to see that ∂ I = ln det(g ) . (3–1) i ∂yi jk p For y V 0 , set ∈ \ { } i j k i Cy(u, v, w) := Cijk(y)u v w , Iy(u) := Ii(y)u , where u := uib , v := vj b and w := wkb . The family C := C y V 0 i j k { y | ∈ \ { }} is called the Cartan torsion and the family I := I y V 0 is called the { y | ∈ \ { }} 312 ZHONGMIN SHEN mean Cartan torsion. They are not tensors in a usual sense. In later sections, we will convert them to tensors on T M0 and call them the (mean) Cartan tensor. We view a Minkowski norm F on a vector space V as a color pattern. When F is Euclidean, the color pattern is trivial or Euclidean. The Cartan torsion Cy describes the non-Euclidean features of the color pattern in the direction y V 0 . And the mean Cartan torsion I is the average value of C . ∈ \ { } y y A trivial fact is that a Minkowski norm F on a vector space V is Euclidean if and only if C = 0 for all y V 0 . This can be improved: y ∈ \ { } Proposition 3.1 [Deicke 1953]. A Minkowski norm is Euclidean if and only if I = 0. To characterize Randers norms, M. Matsumoto introduces the quantity 1 M := C I h + I h + I h , (3–2) ijk ijk − n + 1 i jk j ik k ij p q 2 where h := F F i j = g g y g y /F . For y V 0 , set ij y y ij − ip jq ∈ \ { } i j k M y(u, v, w) := Mijk(y)u v w , where u = uib , v = vj b and w = wkb . The family M := M y V 0 is i j k { y | ∈ \{ }} called the Matsumoto torsion. A Minkowski norm is called C-reducible if M = 0. Lemma 3.2 [Matsumoto 1972b]. Every Randers metric satisfies M = 0. Proof. Let F = α + β be an arbitrary Randers norm on a vector space V, i j i where α = aij y y and β = biy with β α < 1. By a direct computation, the 1 2 k k gij := 2 [F p]yiyj are given by
F yi yj α yi yj gij = aij + bi + bj + , (3–3) α − α α F α α j p q 2 where y := a y . The h = F F i j = g g y g y /F are given by i ij ij y y ij − ip jq α + β yiyj hij = aij 2 . (3–4) α − α ij −1 The inverse matrix (g ) = (gij ) is given by α yi yj α yi yj gij = aij (1 β 2) + bi bj bibj . (3–5) F − − k k F F F − α − F −
The determinant det(gij) is α + β n+1 det (gij ) = det (aij ) . α From this and (3–1), one obtains
n + 1 yi β Ii = bi . (3–6) 2(α + β) − α α LANDSBERG, S- AND RIEMANN CURVATURES 313
Differentiating (3–3) yields 1 C = I h + I h + I h , (3–7) ijk n + 1 i jk j ik k ij implying that Mijk = 0. Matsumoto and H¯oj¯o later proved that the converse is true as well, if dim V 3. ≥ Proposition 3.3 [Matsumoto 1972b; Matsumoto and H¯oj¯o 1978]. If F is a Minkowski norm on a vector space V of dimension at least 3, the Matsumoto torsion of F vanishes if and only if F is a Randers norm. Their proof is long and I could not find a shorter proof which fits into this article.
4. Geodesics and Sprays
Every Finsler metric F on a connected manifold M defines a length structure L on oriented curves in M. Let c : [a, b] M be a piecewise C ∞ curve. The F → length of c is defined by b LF (c) := F c(t), c˙(t) dt. Z a For any two points p, q M, define ∈ dF (p, q) := infc LF (c), where the infimum is taken over all piecewise C ∞ curves c from p to q. The quantity d = d (p, q) is a nonnegative function on M M. It satisfies F F × (a) d (p, q) 0, with equality if and only if p = q; and F ≥ (b) d (p, q) d (p, r) + d (r, q) for any p, q, r M. F ≤ F F ∈ We call dF the distance function induced by F . This is a weaker notion than the distance function of metric spaces, since dF need not satisfy dF (p, q) = dF (q, p) for p, q M. But if the Finsler metric F is reversible, that is, if F (x, y) = ∈ − F (x, y) for all y T M, then d is symmetric. ∈ x F A piecewise C∞ curve σ : [a, b] M is minimizing if it has least length: → LF (σ) = dF σ(a), σ(b) . It is locally minimizing if, for any t I := [a, b], there is a small number ε > 0 0 ∈ such that σ is minimizing when restricted to [t ε, t + ε] I. 0 − 0 ∩ Definition 4.1. A C∞ curve σ(t), t I, is called a geodesic if it is locally ∈ minimizing and has constant speed (meaning that F (σ(t), σ˙ (t)) is constant). Lemma 4.2. A C∞ curve σ(t) in a Finsler manifold (M, F ) is a geodesic if and only if it satisfies the system of second order ordinary differential equations σ¨i(t) + 2Gi σ(t), σ˙ (t) = 0, (4–1) 314 ZHONGMIN SHEN where the Gi = Gi(x, y) are local functions on T M defined by
i 1 il 2 k 2 G := g (x, y) [F ] k l (x, y)y [F ] l (x, y) . (4–2) 4 x y − x This is shown by the calculus of variations; see, for example, [Shen 2001a; 2001b]. Let ∂/∂xi, ∂/∂yi denote the natural local frame on T M in a standard local { } coordinate system, and set ∂ ∂ G := yi 2Gi , (4–3) ∂xi − ∂yi where the Gi = Gi(x, y), which are given in (4–2), satisfy the homogeneity property Gi(x, λy) = λ2Gi(x, y), λ > 0. (4–4) G is a well-defined vector field on T M. Any vector field G on T M having the form (4–3) and satisfying the homogeneity condition (4–4) is called a spray on M, and the Gi are its spray coefficients. Let ∂Gi δ ∂ ∂ N i = , := N i . j ∂yj δxi ∂xi − j ∂yj Then HT M := span δ/δxi and V T M := span ∂/∂yi are well-defined and { } { } T (T M ) = HT M V T M. That is, every spray naturally determines a decom- 0 ⊕ position of T (T M0). For a Finsler metric on a manifold M and its spray G, a C ∞ curve σ(t) in M is a geodesic of F if and only if the canonical lift γ(t) := σ˙ (t) in T M is an integral curve of G. One can use this to define the notion of geodesics for sprays. It is usually difficult to compute the spray coefficients of a Finsler metric. However, for an (α, β)-metric F , given by equation (2–10), the computation is relatively simple using a Maple program. Let Gi be the spray coefficients of the i i 1 i j k Riemannian metric α, with coefficients Γjk, so that G = 2 Γjk(x)y y . These coefficients are called the Christoffel symbols of α. By (4–2), they are given by il i a ∂ajl ∂akl ∂ajk Γjk = k + j l . 2 ∂x ∂x − ∂x To find a formula for the spray coefficients Gi = Gi(x, y) of F in terms of α and β, we introduce the covariant derivatives of β with respect to α. Let θi := dxi i i k and θj := Γjk dx . We have dθi = θj θ i, da = a θ k + a θ k. ∧ j ij kj i ik j Define bi;j by b θj := db b θ j . i;j i − j i Let r := 1 b + b , s := 1 b b , ij 2 i;j j;i ij 2 i;j − j;i i ih i s j := a shj , sj := bis j , eij := rij + bisj + bj si. By (4–2) and using a Maple program, one obtains the following relationship: LANDSBERG, S- AND RIEMANN CURVATURES 315
Lemma 4.3. The geodesic coefficients Gi are related to Gi by αφ0 φφ0 s(φφ00 + φ0φ0) Gi = Gi + si + − φ sφ0 0 2φ (φ sφ0) + (b2 s2)φ00 − − − 2 αφ0 yi φφ00 − s + r + bi , (4–5) × φ sφ0 0 00 α φφ0 s(φφ00 + φ0φ0) − − i i j i i j 2 ij where s = β/α, s 0 = s j y , s0 = siy , r00 = rij y y and b = a bibj . Consider the metric (α + β)2 F = , α i j i where α = aij(x)y y is a Riemannian metric and β = bi(x)y is a 1-form with β