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ELECTRONIC

COMMUNICATIONS in PROBABILITY

A NON-COMMUTATIVE SEWING LEMMA

DENIS FEYEL

D´epartement de Math´ematiques, Universit´e d’Evry-Val d’Essonne, Boulevard Francois Mitter-rand, 91025 Evry cedex, France

email: Denis.Feyel@univ-evry.fr

ARNAUD DE LA PRADELLE

Laboratoire d’Analyse Fonctionnelle, Universit´e Paris VI, Tour 46-0, 4 place Jussieu, 75052 Paris, France, Universit´e Pierre-et-Marie Curie

email: adelapradelle@free.fr

GABRIEL MOKOBODZKI

Laboratoire d’Analyse Fonctionnelle, Universit´e Paris VI, Tour 46-0, 4 place Jussieu, 75052 Paris, France, Universit´e Pierre-et-Marie Curie

email:

Submitted June 13, 2007, accepted in final form October 30, 2007 AMS 2000 Subject classification: 26B35, 60H05

Keywords: Curvilinear Integrals, Rough Paths, Stochastic Integrals

Abstract

A non-commutative version of the sewing lemma [1] is proved, with some applications

Introduction

In a preceding paper [1] we proved a sewing lemma which was a key result for the study of H¨older continuous functions. In this paper we give a non-commutative version of this lemma. In the first section we recall the commutative version, and give some applications (Young integral and stochastic integral).

In the second section we prove the non-commutative version. This last result has interesting applications: an extension of the so-called integral product, an application to a Lie-Trotter type formula, and a sharpening of the Lyons theorem about multiplicative functionals [3,4,5].

Note that we replaced the H¨older modulus of continuitytα by a more general modulusV(t).

This paper was elaborated with the regretted G. Mokobodzki. The writing has only been done after his death.

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1

The additive sewing lemma

0 Definition: We say that a functionV(t)defined on[0, T[ is a control function if it is non decreasing,V(0) = 0andP

n≥1V(1/n)<∞.

As easily seen, this is equivalent to the property

V(t) =X n≥0

2nV(t.2−n)<

for everyt≥0. For example,tαandt/(logt−1)αwithα >1 are control functions.

Observe that we have

V(t) =V(t) +· · ·+ 2nV(t.2−n) + 2n+1V(t.2−n−1)

from which follows that Lim

t→0V(t)/t= 0.

1 Theorem: Consider a continuous functionµ(a, b)defined for0≤a≤b < T satisfying the relation

|µ(a, b)−µ(a, c)−µ(c, b)| ≤V(b−a)

for every c ∈ [a, b], where V is a control function. Then there exists a unique continuous functionϕ(t)on[0, T[, up to an additive constant, such that

|ϕ(b)−ϕ(a)−µ(a, b)| ≤V(b−a)

Proof : Putµ′(a, b) =µ(a, c) +µ(c, b) forc= (a+b)/2,µ(0)=µandµ(n+1)=µ(n)′. We easily

get forn≥0

|µ(n)(a, b)µ(n+1)(a, b)| ≤2nV(2−n|ba|)

so that the series P

n≥0|µ(n)(a, b)−µ(n+1)(a, b)| ≤ V(b−a) converges, and the sequence µ(n)(a, b) converges to a limit u(a, b). For c = (a+b)/2 we have µ(n+1)(a, b) = µ(n)(a, c) + µ(n)(c, b) which implies

u(a, b) =u(a, c) +u(c, b)

We say thatuis midpoint-additive.

Now, we prove thatuis the unique midpoint-additive function with the inequality|u(a, b)− µ(a, b)| ≤CstV(b−a). Indeed if we have another onev, we get

|v(a, b)−u(a, b)| ≤K.V(b−a)

and by induction|v(a, b)−u(a, b)| ≤2nK.V[2−n(b−a)] which vanishes asn→ ∞as mentioned above. Letkbe an integerk≥3, and take the function

w(a, b) = k−1

X

i=0

u(ti, ti+1)

withti =a+i.(b−a)/k. It follows thatwalso is midpoint-additive, and satisfies

(3)

hence we havew=u, that isuis in fact rationnally-additive. Asµis continuous, then so also is u, as the defining series converges uniformly for 0≤a≤b < T. Thenuis additive, and it suffices to put ϕ(t) =u(0, t).

2 Proposition: (Riemann sums) Let σ = {ti} some finite subdivision of [a, b]. Put δ = Supi|ti+1−ti|. Then

3 Remarks: a) In fact the result holds even in the case of discontinuousµ, as proved in the appendix.

b) The result obviously extends to Banach spaces valued functions µ.

In the caseV(t) =tαwithα >1, we getV(t) = 2αtα 2α2.

Example 1: The Young integral

TakeV(t) =t2αwithα >1/2. Ifxandy are twoα-H¨older continuous functions on [0,1], put

This is a Young integral (cf.also [7]).

Remark: We could takex∈ Cα,y∈ Cβ withα+β >1.

Example 2: The stochastic integral

LetXtbe the standard IRm-valued Brownian motion. As is well known, t→XtisC1/2 with values inL2. Letf be a tensor-valuedC2-function with bounded derivatives of order 2 on IRm. Put

µ(a, b) =f(Xa)⊗(Xb−Xa) +∇f(Xa)⊗

Z b

a

(4)

where the last integral is taken in the Ito or in the Stratonovitch sense. LetN2be the natural norm onL2. By straightforward computations, we get

N2[µ(a, b)−µ(a, c)−µ(c, b)]≤K.k∇2fk∞|b−a|3/2

By the additive sewing lemma, there exists a uniqueL2-valued functionϕ(t) such thatN2[ϕ(b)− ϕ(a)−µ(a, b)]≤Cst.|b−a|3/2 (the control function isV(t) =t3/2). It is easily seen that

ϕ(b)−ϕ(a) =

Z b

a

f(Xt)⊗dXt

in the Ito or in the Stratonovitch sense.

Observe that as the stochastic integral

Z b

a

Xt⊗dXt has Cα-trajectories almost surely for

1/3 < α <1/2, analoguous computations as above yield Cα-trajectories for

Z b

a

f(Xt)⊗dXt

on the same set of paths as

Z b

a

Xt⊗dXt.

4 Remark: For the FBM withα >1/4, the reader is referred to our previous paper [1].

2

The multiplicative sewing lemma

Here we need a strong notion of control function

5 Definition: We say that a functionV(t)defined on[0, T[is a strong control function if it is a control function and there exists aθ >2 such that for everyt

V(t) =X n≥0

θnV(t.2−n)<

We consider an associative monoide M with a unit element I, and we assume that M is complete under a distancedsatisfying

d(xz, yz)≤ |z|d(x, y), d(zx, zy)≤ |z|d(x, y)

for everyx, y, z∈ M, wherez→ |z|is a Lipschitz function onMwith|I|= 1.

Let µ(a, b) be an M-valued function defined for 0 ≤ a ≤ b < T. We assume that µ is continuous, thatµ(a, a) =I for everya, and that for everya≤c≤b we have

(1) d(µ(a, b), µ(a, c)µ(c, b))≤V(b−a)

We say that anM-valuedu(a, b) is multiplicative ifu(a, b) =u(a, c)u(c, b) for everya≤c≤b.

6 Theorem: There exists a unique continuous multiplicative functionusuch thatd(µ(a, b), u(a, b))≤ CstV(b−a)for everya≤b.

Proof : Putµ0=µand by induction

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hn(t) = Sup b−a≤t

|µn(a, b)|, Un(t) = Sup b−a≤t

d(µn+1(a, b), µn(a, b))

The functionshn andUn are continuous non decreasing withhn(0) = 1 andUn(0) = 0. Letκ be the Lipschitz constant ofz→ |z|. One has

hn+1(t)≤hn(t) +κUn(t)≤h0(t) +κU0(t) +· · ·+κUn(t)

(2) Un+1(t)≤[hn(t/2) +hn+1(t/2)]Un(t/2)

Let τ >0 be such thath0(τ) +κV(τ)≤θ/2. Assume that Ui(t) ≤θiV(t/2i) for tτ and i≤n. One hashn+1(t)≤θ/2, then

Un+1(t)≤θUn(t/2)≤θn+1V(t/2n+1)

fort≤τ and everynby induction.

Hence fort≤τthe seriesUn(t) converges, so that the sequencehn(τ) is bounded. By inequality (2) the series Un(2τ) converges, and the sequence hn(2τ) is bounded. From one step to the other we see that the sequencehnis locally bounded, and that the seriesUn converges locally uniformly on [0, T[. It follows that the sequence µn(a, b) converges locally uniformly to a continuous functionu(a, b) which is midpoint-multiplicative, that isu(a, b) =u(a, c)u(c, b) for c= (a+b)/2. One has d(u, µ)≤CstV.

Next we prove the uniqueness of u. Let v be a continuous function with the same prop-erties as u. Put K(t) = Sup

b−a≤t

Sup[|u(a, b)|,|v(a, b)|]. Let τ1 > 0 be such that K(τ1) ≤

θ/2. One has d(u(a, b), v(a, b))≤k V(b−a) with some constant k, then d(u(a, b), v(a, b))≤ 2K(t/2)kV(t/2) ≤ k θV(t/2) for b −a ≤ t ≤ τ1, and by induction d(u(a, b), v(a, b)) ≤ k θnV(t/2n). It follows that u(a, b) = v(a, b) for ba τ1. This equality extends to ev-ery b−aby midpoint-multiplicativity.

Finally we prove thatuis multiplicative. We argue as in the additive case, and we put for an integer m

w(a, b) = m−1

Y

i=0

u(ti, ti+1)

where ti=a+i.(b−a)/m. For simplicity we limit ourselves to the casem= 3, that is

w(a, b) =u(a, c′)u(c, c′′)u(c′′, b)

withc′=a+(b−a)/3,c′′=a+2(b−a)/3. Observe thatwis obviously midpoint-multiplicative.

Takea≤b≤T0< T, we get with successive constantski

d(w(a, b), µ(a, b))≤k1V(b−a) +d(w(a, b), µ(a, c′)µ(c, b))

≤k2V(b−a) +d(u(a, c′)u(c, c′′)u(c′′, b), u(a, c)µ(c, b))

+d(u(a, c′)µ(c, b), µ(a, c)µ(c, b))

≤k3V(b−a) +kd(u(c′, b), µ(c, b)) +kd(u(a, c), µ(a, c))

≤k4V(b−a)

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7 Remark: Let ν be a function with the same properties as µ. Moreover suppose that d(ν(a, b), µ(a, b)) ≤ CstV(b−a) for every a ≤ b. Then ν defines the same multiplicative functionuasµ.

Example 3: The integral product

Lett→AtaCαfunction with values in a Banach algebraAwith a unitI. PutAab=Ab−Aa and

µ(a, b) =I+Aab

We get

µ(a, b)−µ(a, c)µ(c, b) =−AacAcb

Suppose thatα >1/2, then the multiplicative sewing lemma applies with the obvious distance, and there exists a unique multiplicative functionu(a, b) with values inAsuch that

|u(a, b)−µ(a, b)| ≤Cst|b−a|2α

In view of the remark 8, we get the sameu(a, b) by takingν(a, b) = eAab. A good notation for

u(a, b) is

u(a, b) = b

Y

a

(I+dAt) = b

Y

a edAt

8 Theorem: PutHt=u(0, t). Then this is the solution of the EDO

Ht=I+

Z t

0

HsdAs

where the integral is taken in the Young sense.

Proof : We have only to verify that|Hb−Ha−HaAab| ≤Cst|b−a|2α. The first member is worth

u(0, a)[u(a, b)−I−Aab] =u(0, a)[u(a, b)−µ(a, b)]

so that we are done.

Example 4: A Trotter type formula

Lett→Atandt→Btas in the previous paragraph, and put

µ(a, b) = [I+Aab][I+Bab]

It is straightforward to verify the good inequality

|µ(a, b)−µ(a, c)µ(c, b)| ≤Cst|b−a|2α

so that we get a multiplicativeu(a, b) such that|u(a, b)−µ(a, b)| ≤Cst|b−a|2αor equivalently

|u(a, b)−I−Aab−Bab| ≤Cst|b−a|2α

u(a, b) = b

Y

a

(I+dAt+dBt) = b

Y

a

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that is

Example 5: Extending the Lyons theorem

LetAbe a Banach algebra with a unitI. Takeµ(a, b) of the form

Following [5], we suppose the algebraic hypothesis for k≤N

(3) A(k)ab =

9 Theorem: Under the condition (3) and the inequality

|A(k)ab| ≤M|b−a|kα

for every k ≤N, whereα > 1/(N + 1), there exists a unique multiplicative function u(a, b)

such that

(8)

Proof : The only problem is to prove formula (4), that is to prove thatuis the sum of its Taylor expansion with respect to λ. In the case whereA is a complex Banach algebra, the proof of the multiplicative sewing lemma yields a sequence of holomorphic functions which converges uniformly with respect toλin every compact set of C . Hence| u(a, b) in holomorphic inλC .|

If A is only a real Banach algebra, we get a sequence of holomorphic functions with values in the complexified Banach space ofA, and the result follows. It remains to observe that the N+ 1 first terms of the Taylor expansion are the same for every function of the sequence µn converging tou.

Application to the Lyons theorem: LetEbe a Banach space. DenoteEn =E⊗n. Suppose that everyEn has a cross-norm such that

ku⊗vkn+m≤ kuknkvkm

for everyu∈En,vEm. LetAbe the completed tensor algebra under the norm

ktk=X n≥0

ktnkn

This is a Banach algebra.

LetN be given, and for everyk≤N, let (a, b)→Xab(k)be an Ek-valued continuous function such that

Xab(k)= k

X

i=0

Xac(i)⊗X (k−i) cb

fora≤c≤b. Suppose thatα >1/(N+ 1), and that we have fork≤N

kXab(k)kk ≤M.|b−a|kα

The previous theorem applies to the function

µ(a, b) = N

X

k=1 λkXab(k)

so that there exists a unique continuous function (a, b)→Yab(k) for every ksuch thatY(k)= X(k)forkN,

Yab(k)= k

X

i=0 Y(i)

ac ⊗Y (k−i) cb

for every integerkand everya≤c≤b, and

X

k>N

kYab(k)kk≤Cst|b−a|(N+1)α

Remark: This theorem sharpens the theorem 3.2.1 of [5].

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We return to formula (4) of theorem 10

Let 0< β < α, and introduce the entire function

e(x) = eβ(x) =X

In order that (5) holds for everyn, it suffices that

1 c ≥n>NSup

En+1,β 2(n+1)α2

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10 Corollary: Putc′ = Max(c,1), we have

|u(a, b)| ≤c′e

β(|λ|x|b−a|α)

11 Remarks: a) Note that forα= 1 one can takeβ=α= 1 so that we recover the classical inequality.

b) For β <1, the function eβ(x) increases faster than the exponential function (cf. Schwartz [6] for a comparison whenβ= 1/2).

c) there are some analoguous estimates in Gubinelli [2].

Appendix: the discontinuous case

As announced in Remark 4a), we extend the additive sewing lemma in the case where µ is discontinuous. We go back to the proof of the lemma: we get a unique functionu(a, b) which is rationally additive and such that|u(a, b)−µ(a, b)| ≤CstV(b−a). Put

vn(a, b) =u(an, bn)−u(an, a) +u(bn, b)

wherean ≤aandbn≤bare the classical dyadic approximations ofaandb. As easily verified, vn is additive for everya≤c≤b. Besides, we have

|vn(a, b)−u(a, b)| ≤2V(b−a) + 2V(bn−an) +V(a−an) +V(b−bn)

so that the sequencevn(a, b)−u(a, b) is bounded. Letv(a, b) be the limit ofvn(a, b) according to an ultrafilterU → ∞. We first havev(a, b) =v(a, c) +v(c, b) for everya≤c≤b. Then we get

|v(a, b)−µ(a, b)| ≤3V(b−a) + 2 Lim

U V(bn−an)≤5V(2(b−a))

AsV(2t) is also a control function forµ,vis the unique additive function such that|v(a, b)− µ(a, b)| ≤5V(2(b−a)), which implies thatv=u. Henceuis completely additive.

Here we point out the important fact that the result also holds ifµtakes values in a Banach spaceB. Indeed, the proof is exactly the same, the last limit according toU must be taken in the bidualB′′ with the topologyσ(B′′, B), but the resultubelongs toB.

References

References

[1] D. Feyel, A. de La Pradelle.Curvilinear Integrals along Enriched Paths.

Electronic J. of Prob. 34, 860-892, (2006).

[2] M. Gubinelli.Controlling rough paths.

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[3] T.J. Lyons.Differential equations driven by rough signals. Rev. Math. Iberoamer.14, 215-310, (1998).

[4] T.J. Lyons, Z. Qian.Calculus for multiplicative functionals, Ito’s formula and differential equations.

Ito’s stochastic calculus and Probability theory, 233-250, Springer, Tokyo, (1996).

[5] T.J. Lyons, Z. Qian.System Control and Rough Paths. Oxford Science Publications, (2002).

[6] L. Schwartz.La convergence de la s´erie de Picard pour les EDS. S´em. prob. Strasbourg, t.23, 343-354, (1989).

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