ESTIMATES OF DERIVATIVES OF THE HEAT KERNEL ON A COMPACT RIEMANNIAN MANIFOLD

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PROCDINGS OF H AMRICAN MAHMAICAL SOCIY Volume 127, Number 12, Pages 3739 3744 S 2-9939(99)4967-9 Article electronically published on May 13, 1999 SIMAS OF DRIVAIVS OF H HA KRNL ON A COMPAC RIMANNIAN MANIFOLD LON P. HSU (Communicated by Stanley Sawyer) Abstract. We give global estimates on the covariant derivatives of the heat kernel on a compact Riemannian manifold on a fixed finite time interval. he proof is based on analyzing the behavior of the heat kernel along Riemannian Brownian bridge. 1. Introduction Let M be a compact Riemannian manifold of dimension n and p(,x,y) the heat kernel on M. he present work concerns with estimates of derivatives of the heat kernel. Let N log p(,x,y)bethenth covariant derivative of the logarithm of the heat kernel with respect to its first space variable. he study of such estimates is motivated by various problems involving Brownian bridge on M where one needs to control the behavior of the process at the terminal time. stimates of this kind were obtained previously by Sheu [6]. In our present setting, his results can be restated as follows. For all (,x,y) (, 1] M M, log p(,x,y) C 1 N log p(,x,y) C N + 1 }, } N +1} 2(N 2), where C N is a constant depending on N and the manifold M. One expects that for N 3 an estimate without the last factor should be the one with the correct order of magnitude. he purpose of this work is to prove such an inequality. From Sheu s work we find two basic observations. First, from stochastic control theory it is more natural to work with derivatives of log p(,x,y)thanwiththoseof p(,x,y) itself. Second, the optimal control is attained at Brownian bridge. hese two observations lead us to consider directly the process log p( t, γ t,y), where {γ t, t } is a Brownian bridge from x to y in time. Using repeatedly Itô s formula on the process, we express N log p(,x,y) in terms of lower derivatives and obtain the desired estimates by induction, much in the same way as was done in Sheu [6]. It seems that our more intrinsic approach to the problem resulted in Received by the editors March 24, 1997 and, in revised form, December 22, 1997 and February 26, 1998. 1991 Mathematics Subject Classification. Primary 58G32; Secondary 6J6. he research was supported in part by NSF grant 946888-DMS. 3739 c 1999 American Mathematical Society

374 LON P. HSU a precise tracking of the induction step, thus allowing us to obtain estimates with the correct order of magnitude. Our result can be stated as follows. heorem 1.1. For each N, there is a constant C N depending on N and M such that for all (,x,y) (, 1] M M N log p(,x,y) C N he following corollary is immediate. } N. Corollary 1.2. For each N, there is a constant D N depending on N and M such that for all (,x,y) (, 1] M M N p(,x,y) D N } N p(,x,y). More recent discussions on the cases N 2 can be found in Hamilton [2], Malliavin and Stroock [4], Stroock [7], and Stroock and Zeitouni [9]. We emphasize that the estimate stated in the theorem holds for all (,x,y) [, 1] M M. he argument in Malliavin and Stroock [4] shows that the estimate of the form stated in the theorem is in general best possible. However, if x, y are kept a positive distance away from the cut locus, the term 1/ can be dispensed with. For a detailed discussion on this case, see Norris [5]. We are happy to acknowledge that heorem 1.1 was obtained independently in a recent work of Stroock and uretsky [8] by a different method. Finally I thank Professors Stanley Sawyer, Wilfrid Kendall, and an anonymous reviewer for their helpful comments on the work. 2. Proof of the theorem In the course of the proof, the letter C will denote a constant depending on the index N and the manifold M whose value may differ from one appearance to another. Let O(M) be the orthonormal frame bundle of M and π : O(M) M the canonical projection. We use H i, 1 i n, to denote the canonical horizontal vector fields and Ω ij, 1 i, j n, the canonical vertical vector fields on O(M). We denote by Ω the o(n)-valued curvature form on O(M). By the structure equations, we have the following commutation relations: [H i,h j ]=Ω [ ij, Hi, Ω [ jk] =Ω il jkh l, Ω ij, Ω kl] = c ab (1) ij,klω ab, where c ab ij,kl are the structure constants of o(n), whose explicit values we do not need. If I = {i 1,...,i l } is a multi-index with length I = l, thenweusethe abbreviation H I J = H i1 H il J for a function J on O(M). Let J(t, u) = log p(t, πu, y), the lift of log p(t, x, y) too(m). hen it satisfies the equation (2) t J( t, u)+ 1 2 H J( t, u)+ 1 2 H J( t, u) 2 =, where H = n i=1 H2 i is Bochner s Laplacian on O(M) and H J={H 1 J,...,H n J} is the horizontal gradient of J.

SIMAS OF DRIVAIVS OF H HA KRNL 3741 Let {γ t } be a Brownian bridge from x to y in time and {u t } its horizontal lift with initial value u o,whereu o is an orthonormal frame over x. It is well known that there is a Brownian motion {b t } such that (3) du t = H ut db t + H J( t, u t )dt. Using (3), and Itô s formula we have (with J( t, u t ) abbreviated as J): { dh I J = H H I J, db t + t H I J + 1 } 2 H H I J + H H I J, H J dt. Inserting the equation for J in (2) we have (4) dh I J = H H I J, db t + {F I + G I } dt, where F I = 1 [ H ],H I J, 2 and G I = H H I J, H J 1 2 H I H J, H J. Consider first the cases I = and 1. For I of length we have F I =and G I = 1 2 H J 2. Integrating (4) from to /2 and taking expectation we have H J( t, u t ) 2 dt =2J(/2,u /2 ) 2J(,u o ). From Bellanche [1] or Li and Yau [3], there is a constant C such that C 1 2 e d(x,y) /Ct p(t, x, y) C tn/2 t. n/2 Hence we have immediately { } d(x, y) H J( s, u s ) 2 2 ds C +1. For the sake of simplicity we set d(x, y) Q = he above estimate can be written as (5). H J( t, u t ) 2 ds CQ 2. We now apply (4) to an index I = {i} of length 1. In this case using (1) and noting that Ω ij J =weseethatf I is a linear combination of H j J and G I =. herefore F I C H J. Integrating (4) from to t and taking expectation, we have H i J(,u o )=H i J( t, u t ) Integrating from to /2wehave /2 2 H ij(,u o )= H i J( t, u t )dt t F I dt. ( ) 2 t F I dt. Using the Cauchy-Schwarz inequality and (5) we have H i J(,u o ) CQ, which proves the case N = 1 of the main theorem.

3742 LON P. HSU Now it is clear how we should proceed inductively for the general case. induction hypothesis has two parts. First, (6) and for all I such that 2 I N, H J( t, u t ) 2 dt CQ 2, he (7) Second, for all I such that I N, H I J( t, u t ) 2 dt CQ 2( I 1). (8) H I J(,u o ) CQ I. Note that (6) (8) are supposed to hold uniformly for all (,u o ) (, 1] O(M). We have already proved the initial step N = 1. Suppose the above inequalities hold for N and let I be an index of length N. Integrating (4) from to /2wehave H H I J( t, u t ),db t = H I J(/2,u /2 ) H I J(,u o ) Squaring and taking expected value, we have (9) From (8) we have (1) { C H H I J( t, u t ) 2 dt F I +G I dt } 2 {F I +G I }dt. +C H I J(/2,u /2 ) 2 +C H I J(,u o ) 2. H I J(/2,u /2 ) 2 + H I J(,u o ) 2 CQ 2N. Using the commutation relations (1) we can write [ ] H,H I J as a linear combination of H L J with L = I. Hence for I = N =1wehaveby(6) and for N>1wehaveby(7) Hence we always have F I 2 dt CQ 2 = CQ 2N F I 2 dt CQ 2(N 1) CQ 2N. F I 2 dt CQ 2N. For the terms involving G I, we observe first that G I =ifn= I =1andifN 2, then by the commutation relations (1) G I is a linear combination of the terms of

SIMAS OF DRIVAIVS OF H HA KRNL 3743 the form H K J, H L J with 2 K N, L = N +2 K or K = N 1, L =1. In the first case we have L 2and K 2, and by (7) { } 2 /2 H K J, H L J dt { } { /2 } /2 H K 2 dt H L 2 dt CQ 2( K 1) Q 2( L 1) = CQ 2N. In the second case we have L =1,N 2, and using both (6) and (7) we obtain the same bound CQ 2N. herefore we have { } /2 G I dt CQ N. hus we have shown that (6) and (7) for all indices of length less than I imply (11) From (9), (1), and (11) we have F I +G I dt CQ 2 I. H H I J( t, u t ) dt CQ N. his proves (7) for all indices of length N +1. o prove (8) for indices of length N + 1, we assume that I is such an index. Integrating (4) from to t and taking expectation, we have H I J(,u o )=H I J( t, u t ) Integrating from to /2, we have (12) 2 H IJ(,u o ) = + t H I J( t, u t )dt {F I + G I } ds. ( ) 2 t {F I +G I }dt. Since I = N + 1, the first term on the right-hand side can be estimated by (7) and we obtain (13) H I J( t, u t )dt C Q N CQ N+1. he argument leading to (11) shows that Hence (14) F I +G I dt CQ N+1. ( ) 2 t F I +G I dt CQ N+1.

3744 LON P. HSU It follows from (12), (13), and (14) that H I J(,u o ) CQ N+1, and the theorem is proved. References 1. Bellanche, C., Le comportement asymptotique de p(t, x, y), Asterisque, 84-85 (1981), ed. by R. Azencott. 2. Hamilton, R., A matrix Harnack estimate for the heat equation, Comm. Anal. & Geom., 1 (1993), 113 126. MR 94g:58215 3. Li, P. and Yau, S.-., On the parabolic kernel of the Schrödinger operator, Acta Math., 156 (1986), 153 21. MR 87f:58156 4. Malliavin, P. and Stroock, D. W., Short time behavior of the heat kernel and its logarithmic derivatives, J. of Diff. Geom., 44, No. 3 (1996), 55 57. MR 98c:58164 5. Norris, J. R., Path integral formulae for heat kernels and their derivatives, Prob. heory and Related Fields, 94 (1993), 525 541. MR 94c:58224 6. Sheu, S.-J., Some estimates of the transition density function of a nondegenerate diffusion Markov process, Annals of Probability, 19, No. 2 (1991), 538 561. MR 93a:687 7. Stroock, D. W., An estimate on the Hessian of the heat kernel, Itô s Stochastic Calculus and Probability heory, edited by N. Ikeda, S. Watanabe, M. Fukushim, and H. Kunita, Springer (1996). MR 97m:58212 8. Stroock, D. W., and uretsky, J., Upper bounds on derivatives of the logarithm of the heat kernel, preprint (1996). 9. Stroock, D. W. and Zeitouni, O., Variations on a theme by Bismut, Astérisque, 236 (1996), 291 31. MR 97m:58213 Department of Mathematics, Northwestern University, vanston, Illinois 628 -mail address: elton@math.nwu.edu