CUBO A Mathematical Journal Vol.15, No¯ 01, (113–117). March 2013 A Girsanov formula associated to a big order pseudo-differential operator Rémi Léandre Université de Franche -Comté, Laboratoire de Mathématiques, 25030 Besançon, France. remi.leandre@univ-fcomte.fr ABSTRACT We give a quasi-invariance formula involved with a semi-group generated by a big order elliptic pseudo-differential operator. RESUMEN Entregamos una fórmula de cuasi-invarianza relacionada con un semigrupo generado por un operador seudo-diferencial eĺıptico de orden superior. Keywords and Phrases: Pseudo-differential operators. Girsanov formula. 2010 AMS Mathematics Subject Classification: 35K41, 35S05, 60G20. 114 Rémi Léandre CUBO 15, 1 (2013) 1 Introduction Dedicated to professor doctor N’Guérékata for his birthday There are two basic tools in the theory of stochastic processes ([2], [6], [17]): -) Itô formulas. -)Quasi-invariance formulas of Girsanov type. Roughly speaking, a semi group exp[tL] governed by a generator L whose domain is continu- ously densely imbedded in the space of bounded continuous functions Cb(R d) endowed with the uniform norm is represented by a stochastic process exp[tL]f(x) = E[f(xt(x))] (1) if and only if the generator satisfies the maximum principle: Lf(x) ≥ 0 if the function f reaches his maximum in x. Such semi-groups are called Markov semi-groups. There are much more semi-groups than Markov semi-groups. Itô formula was extended for more general partial differential equations in [7], [8], [9], [10], [11], [15]. For an approach to Itô formula to generalized Wiener chaos, we refer to [13], [14]. Girsanov formula was extended in the framework of white noise analysis to bilaplacians in [13] and [14]. We refer to [16] to a review. The object of this paper is to extend the Girsanov formula to very general semi-groups gen- erated by general pseudo-differential operators. 2 Statement and proof of the main theorem Let (x, ξ) → a(x, ξ) a smooth function on Rd × Rd. According the terminology of [3], [4], [5] it is called a symbol. We suppose that if |ξ| ≤ C the symbol is smooth with bounded derivatives at each order. If |ξ| > C, we suppose that there exist a strictly positive integer m such that sup x∈Rd |DkxD k ′ ξ a(x, ξ)| ≤ C|ξ| 2m−k ′ (2) We suppose that the symbol is elliptic: inf x∈Rd |a(x, ξ)| ≥ C|ξ|2m (3) We put by standard theory on pseudo-differential operators ([3], [4], [5]) L̂f(x) = ∫ Rd a(x, ξ)f̂(ξ)dξ (4) CUBO 15, 1 (2013) A Girsanov formula associated to a big order pseudo-differential ... 115 where ξ → f̂(ξ) is the Fourier transform of x → f(x).He can be extended continuously on the space of smooth functions with bounded derivatives at each order. We suppose because later we consider Girsanov type formulas that L1 = 0. Hypothesis: We suppose that −L is positive essentially self-adjoint on L2(Rd). L generates a contraction semigroup exp[tL] on L2(Rd). By elliptic theory, exp[tL]f(x) = ∫ Rd f(y)µt(x, dy) (5) where µt(x, dy) is a measure on R d (But not a probability measure). We consider an operator L1 on L2(Rd) and we suppose that it is a pseudodifferential operator of order strictly smaller than 2m − 1 of the type (2) and (4). He can be extended continuously on the space of smooth functions with bounded derivatives at each order. We suppose because later we consider Girsanov type formulas that L11 = 0. We consider the pseudo-differential operator densely defined on L2(Rd × R) − Ltot = −L − L1 ∂ ∂u + (−1)m ∂2m ∂u2m (6) By elliptic theory, it generates a semi group exp[tLtot]on L2(Rd × R) (But not a contraction semi- group due to the perturbation term L1 ∂ ∂u in the total operator Ltot). The main remark is that if f depends only on u L1 ∂ ∂u f = 0! By elliptic theory exp[tLtot]f(x, u) = ∫ Rd×R f(y, v)µtott (x, u, dy, dv) (7) where µtot is a measure on Rd × R (But not a probability measure). We consider the operator densely defined on L2(Rd) − Lper = −L − L1 (8) By elliptic theory, it generates a semi-group on L2(Rd) (But not a contraction semi-group due to the perturbation term L1). By elliptic theory, it generates a semi-group on L2(Rd) (but not a contraction semi-group due to the perturbation term L1). By elliptic theory, exp[tLper]f(x) = ∫ Rd f(y)µ per t (x, dy) (9) where µ per t (x, dy) is a measure on R d (but not a probability measure). We get Theorem 2.1. (Girsanov): We have if f is continuous with compact support and if we consider the Doleans-Dade exponential exp[u + (−1)mt] = g(u, t) exp[tLper]f(x) = exp[tLtot][f(.)g(., t)](x, 0) (10) 116 Rémi Léandre CUBO 15, 1 (2013) Proof:Let us begin by doing formal computations. ∂ ∂u commute with Ltot. Therefore Ltot exp[tLtot][f(.)g(., t)](x, u) = Lexp[tLtot][f(.)g(., t)](x, u)+ L1exp[tLtot][f(.) ∂ ∂v g(., t)](x, u) + exp[tLtot][f(.)(−1)m+1 ∂2m ∂v2m g(., t)](x, u) = A1 + A2 + A3 (11) The term A3 is boring. This explain that we introduce exp[(−1) mt] in the Doleans-Dade exponential in order to remove it. Namely we consider linear semi-groups such that exp[tLtot][f(.)g(., t)](x, u) = exp[tLtot][f(.) exp[.]](x, 0) exp[(−1)mt] (12) Therefore A3 disappears and ∂ ∂t exp[tLtot][f(.)g(., t)](x, 0) = Lper exp[tLtot][f(.)g(., t)](x, 0) (13) The only problem in this formal comutation is that u → exp[u] is not bounded!. But if f is with compact support continuous | exp[tLtot][f(.) exp[.]](x, 0)| ≤ ∫ Rd×R |f(y)| exp[v]|µtott |(x, u, dy, dv) ≤ ( ∫ Rd |f(y)|2|µt|(x, dy)) 1/2( ∫ R exp[2u]|νt|(0, dv)) 1/2 (14) In (14), νt(u, dv) represents the semi group associated to L2m = (−1) m+1 ∂ 2m ∂u2m . By [1], this semi-group has an heat-kernel bounded by Ct−1/4mG2m,a( |u−v| t1/4m ) (a > 0) where G2m,a(u) = exp[−au 2m/2m−1] (15) This inequality justifies the formal considerations above! ♦ Received: November 2012. Revised: February 2013. References [1] Davies B.: Unifomly elliptic operators with measurable coefficients. J. Funct. Ana. 132, 141– 169. (1995). [2] Dellacherie C. Meyer P.A.: Probabilités et potentiel. Vol II. Hermann, Paris (1978). [3] Dieudonné J.: Eléments d’analyse VII. Gauthiers-Villars, Paris (1977). [4] H’́ormander L.:The analysis of linear partial operators III, Springer, Berlin (1984). CUBO 15, 1 (2013) A Girsanov formula associated to a big order pseudo-differential ... 117 [5] H’́ormander L.:The analysis of linear partial operators IV. Springer, Berlin (1984). [6] Ikeda N. Watanabe S.: Stochastic differential equations and diffusion processes, 2nd edition, North-Holland (1989). [7] Léandre R.: Itô-Stratonovitch for a four order operator on a torus. In: Nagy P. et al eds. Non-Euclidean geometry and its applications. Acta. Physica Debrecina 42, 133–138 (2008). [8] Léandre R.: Itô-Stratonovitch for the Schroedinger equation associated to a big order operator on a torus. In: Zaslavsky G. and al eds. Fractional Order differentiation. Physica Scripta 136, 014028 (2009). [9] Léandre R.: Itô-Stratonovitch formula for the wave equation on a torus. In: El Tawil M.A. (eds), Computations of stochastic systems, 68–75. Trans. Comp. Sciences. VII. L.N.C.S. 5890 (2010). [10] Léandre R.: Itô formula for an integro differential operator without a stochastic process. In: Ruzhansky M., Wirth J. (eds). ISAAC 2009, 225–231, World Scientific (2010). [11] Léandre R.: Stochastic analysis without probability: study of some basic tools. Journal Pseudo Differential Operators and Applications 1, 389–410 (2010). [12] Léandre R.: Long time behaviour on a path group of the heat semi-group associated to a bilaplacian. In: Garrido A. eds. Symmetry measures on complex networks. Symmetry 3, 72– 83, 2011. [13] Léandre R.: A path-integral approach to the Cameron-Martin-Maruyama-Girsanov formula associated to a Bilaplacian. In: Ti-Jun Xiao and al eds. Integral and differential systems in function spaces. Journal of function spaces and applications, Article 458738, 2012. [14] Léandre R.: A generalized Fock space associated to a Bilaplacian. In: Victor Jin (eds). 2011 World Congress Engineering Technology, 68-72, C.D. I.E.E.E., (2011). [15] Léandre R.: An Itô formula for an accretive operator. In : A. Garrido Eds: Axioms: feature papers. Axioms 1, 4-8 (2012). [16] Léandre R.: Stochastic analysis for a non-markovian generator: an introduction. [17] Rogers L.C.G., Williams D.: Stochastic differential equations and martingales, vol 2, Itô Calculus, Wiley, New-York (1987).