THE RIEMANN CURVATURE TENSOR, JACOBI FIELDS and GRAPHS 1. Geodesic Deviation

THE RIEMANN CURVATURE TENSOR, JACOBI FIELDS and GRAPHS 1. Geodesic Deviation

THE RIEMANN CURVATURE TENSOR, JACOBI FIELDS and GRAPHS 1. Geodesic deviation: the curvature tensor and Jacobi fields. Let (M; g) be a Riemannian manifold, p 2 M. Suppose we want to measure the \instantaneous spreading rate" of geodesic rays issuing from p. The natural way to do this is to consider a geodesic variation: 0 f(t; s) = expp(tv(s)); v(s) 2 TpM; v(0) = v; v (0) = w: Then the \spreading rate" is measured by the variation vector field V (t): @f V (t) = = d expp(tv)[tw]; @s js=0 a vector field along the geodesic γ(t) = expp(tv). Let's try to find a differ- ential equation satisfied by V . We have: DV D @f D @f D2V D D @f = = ; = ( ): @t @t @s @s @t @t2 @t @s @t Setting W = @tf (a vector field along f), we see that DW=@t ≡ 0: D @f D D ( ) = (d exp (tv(s))[v(s)] = γ_ (t) = 0; @t @t @t p @t s since γs(t) = expp(tv(s)) is a geodesic (γs(0) = p; γ_s(0) = v(s)). Thus we need to compute the vector field X(t) along f: D DW D DW X(t) := − ; @t @s @s @t for then, along γ(t): D2V = X(t): dt2 We compute in a coordinate chart: i n i f(s; t) = (x (s; t)) 2 R ;W (s; t) = a (s; t)@xi : Using the symmetry of the connection, we find: X = ai@ x @ x (r r @ − r r @ ): t k s j @xk @xj xi @xj @xk xi We now consider the linearity over smooth functions of this commutator of covariant derivatives. We find: r r (f@ ) − r r (f@ ) = f(r r @ − r r @ ); @xk @xj xi @xj @xk xi @xk @xj xi @xj @xk xi 1 and, assuming we have normal coordinates at p (so r @ = 0 at p): @xk xi r r @ − r r @ = f(r r @ − r r @ ): f@xk @xj xi @xj f@xk xi @xk @xj xi @xj @xk xi Thus, by linearity, we have: X(t) = r@tf r@sf W − r@tf r@sf W: This suggests considering, given three vector fields X; Y; W , the vector field: rX rY W − rY rX W: A natural question is whether this is \tensorial" (linear over smooth func- tions) in each of X; Y; W . Starting with W , we find: (rX rY − rY rX )(fW ) = f(rX rY − rY rX )W + [X; Y ]f: This suggests subtracting the term r[X;Y ]W . Computing again: (rX rY − rY rX − r[X;Y ])(fW ) = f(rX rY − rY rX − r[X;Y ])W: This motivates the definition: Definition. The (3; 1)-Riemann curvature tensor R assigns to three vector fields (X; Y; Z) on M the vector field: R(X; Y )Z = rX rY Z − rY rX Z − r[X;Y ]Z: Exercise. This assignment is linear over smooth functions in each of X; Y and Z. For a vector field W (t; s) along an immersion f(t; s), we get the Ricci equation : D D D D W − W = R(@ f; @ f)W: @t @s @s @t t s Returning to the vector field W (t; s) = @tf along the geodesic variation f(t; s) (where the curves t 7! f(t; s) are geodesics), we find: D2V D DW = = R(@ f; @ f)@ f; @t2 @t @s t s t and at s = 0 (since @tfjs=0 =γ _ and @sfjs=0 = V ): D2V + R(V; γ_ )_γ = 0: dt2 2 This is the Jacobi equation for the \geodesic deviation" vector field V (t); its solutions are Jacobi fields along γ(t). Remark. To find the first-order initial condition for V (t), consider: DV D @f D @f d 0 = = = γ_s(0) = v (0) = w: dt jt=0 @t @s jt=0;s=0 @s @t jt=0;s=0 ds We conclude: _ J(t) = d expp(tv)[tw] is the Jacobi field along γ(t) = expp(tv) with IC J(0) = 0; J(0) = w: In particular: d expp(v)[w] = J(1). This expresses the differential of the exponential map in terms of the solution of a differential equation along γ(t). 2. The case of graphs in euclidean space. Consider the surface n+1 M ⊂ R : n n M = graph(F ) = f(x; F (x)); x 2 R g;F : R ! R; rF (0) = 0: The induced metric and inverse metric tensors are (check!): F F g = δ + F F ; gij = δij − i j : ij ij i j 1 + jrF j2 Given the assumptions made at x = 0, we find: k gijjl(0) = 0 and hence Γij(0) = 0: For the first derivatives of the Christoffel symbols at x = 0: 1 @ Γk (0) = (g + g − g ); xm ij 2 ikjjjm jkjijm ijjkjm and for the curvature tensor1: R(@xj ;@xk )@xi = rxj rxk @xi − rxk rxj @xi l l m l m l = (Γikjj − Γijjk + ΓikΓjm − Γij Γkm)@xl l := Rjki@xl : 1Note here we're using the notation R for what is in fact the pull-back '∗R of the (3,1) curvature tensor under the graph chart '(x) = (x; F (x)) 3 Thus at x = 0 we have: l l l Rjki(0) = Γikjj − Γijjk Suppose we choose the axes so that the Hessian of F is diagonal at x = 0: Hess(F )j0 = diag(λ1; : : : ; λn);Fij(0) = λiδij (no sum): Then, since gijjkjl(0) = FikFjl(0) + FilFjk(0) = λiλj(δikδjl + δjkδil), the only non-zero second derivatives of the metric at x = 0 are: 2 giijiji = 2λi ; gijjijj = gijjjji = λiλj (i 6= j): (in particular, giijjjj = 0 for i 6= j.) Thus the only potentially non-vanishing first-order derivatives of Christoffel symbols (at x = 0) have either all four indices equal, or two pairs of equal indices: i 2 Γiiji = λi ; 1 Γi = (g + g − g ) = 0 (i 6= j); ijjj 2 iijjjj ijjijj ijjijj 1 Γj = (g + g − g ) = λ λ ; (i 6= j): iijj 2 ijjijj ijjijj iijjjj i j We conclude: l Γikjj = λiλjδikδlj; and for the components of the curvature tensor at x = 0: l l l Rjki = Γikjj − Γijjk = λjλk(δikδlj − δijδlk) (no sum): For the components of the (4,0)-curvature tensor: Rjkim := hR(@xj ;@xk )@xi ;@xm i; using the fact that gij(0) = δij we find, at x = 0: Rjkim = λjλk(δikδjm − δijδkm) 2 2 2 2 = D F (@xi ;@xk )D F (@xj ;@xm ) − D F (@xi ;@xj )D F (@xk ;@xm ); where D2F is the Hessian quadratic form of F . 4 n By linearity, we have for arbitrary vector fields X; Y; Z; W on R , and at x = 02: ∗ 2 2 2 2 h(' R)(X; Y )Z; W ig = D F (Z; Y )D F (X; W ) − D F (Z; X)D F (Y; W ): Since both sides of this equation are \tensorial" (4-linear over functions), it in fact holds everywhere,and expresses the (4,0) curvature tensor in terms of the Hessian of F . Kulkarni-Nomizu product. Given two quadratic forms Q; Q¯ (i.e., sym- metric bilinear forms) in a vector space E, their Kulkarni-Nomizu product is the 4-linear form on E: 1 (Q Q¯)(x; y; z; w) := [Q(x; z)Q¯(y; w)−Q(y; z)Q¯(x; w)+Q¯(x; z)Q(y; w)−Q¯(y; z)Q(x; w)]: 2 Exercise. (i) Q Q¯ has the same algebraic symmetries as the (4,0)-Riemann curvature tensor, except for the first Bianchi identity: it is skew-symmetric in (x; y), skew-symmetric in (z; w) and symmetric under swapping the or- dered pairs (x; y) and (z; w). Thus Q Q¯ is a quadratic form in the space of alternating 2-vectors Λ2(E). (ii) If Q = Q¯, the 4-linear form ! = Q Q also satisfies the algebraic Bianchi identity: !(x; y; z; w) + !(y; x; z; w) + !(z; y; x; w) = 0: In terms of the K-N product, the (4,0)-Riemann curvature tensor Riem of a graph has the expression: Riem = −(D2F ◦ Dπ) (D2F ◦ Dπ): n where Dπ(p): TpM ! R is the inverse of the differential graph chart D', and 2 2 (D F ◦ Dπ)(X; Y ) := D F (Dπ[X]; Dπ[Y ]); X; Y 2 TpM Recall that if E has an inner product, there is an associated inner product in Λ2(E) uniquely determined by: hx ^ y; z ^ wi = hx; zihy; wi − hy; zihx; wi 2 ∗ n Here we revert to more precise notation: ' R is a (3,1) tensor on R , the pullback of the curvature tensor under the graph chart ' 5 (which itself has the structure of a K-N product!) Note, in particular: jx ^ yj2 = jxj2jyj2 − hx; yi2: Thus, given a quadratic form on Λ2(E) we have an associated symmetric linear operator from Λ2(E) to Λ2(E). In the case of the (4,0)-Riemann curvature tensor Riem, the associated symmetric linear operator (at each p 2 M: Rp :Λ2(TpM) ! Λ2(TpM) is known as the curvature operator, and has found important applications in recent years. The two-dimensional case. If n = 2, the only non-zero components of Riem (at p 2 M) have the form hR(X; Y )X; Y i, with X; Y linearly inde- pendent (in TpM). If M is the graph of F : hR(X; Y )X; Y i = −(D2F D2F )(DπX;DπY;DπX;DπY ): n 2 If the fe1; e2g is an orthonormal basis of (R ; g) diagonalizing D F with eigenvalues λ1; λ2, we find: 2 2 2 2 2 2 (D F D F )(e1; e2; e1; e2) = D F (e1; e1)D F (e2; e2)−(D F (e1; e2)) = λ1λ2: This motivates the definition, for general dimensions n (changing the order of the second pair X; Y to get rid of the sign): Definition.

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