• Aucun résultat trouvé

A Remark on different lattice approximations and continuum limits for -fields

N/A
N/A
Protected

Academic year: 2021

Partager "A Remark on different lattice approximations and continuum limits for -fields"

Copied!
6
0
0

Texte intégral

(1)Random Oper. and Stoch. Equ., Vol. 12, No. 4, pp. 313–318 (2004). c VSP 2004 . A Remark on different lattice approximations and continuum limits for φ42 -fields1 Sergio ALBEVERIO1,2,3 and Song LIANG1,4 1. Institute of Applied Mathematics, University of Bonn Wegelerstr. 6, D53115 Bonn (Germany) and SFB611 2 BiBoS, CERFIM(Locarno); Acc. Arch. (USI), Mendrisio (Switzerland) 3 Dip. di Matematica, Universit´ a di Trento (Italy) 4 Graduate School of Mathematics, Nagoya University (Japan) Received for ROSE January 10, 2004 Abstract—Consider the lattice approximation of a φ42 -quantum field model with different lattice cutoffs a and a in the free and interacting parts, respectively. In [1] it was shown that the corresponding. continuum limit measure exists if lima→0 a | log a|5/4 < ∞ and it coincides with the original φ42 field measure if lima→0 a | log a|2 < ∞. In this paper, a result is given indicating that the new continuum limit measure might be different from the original one if a is too big compared with a.. Keywords: Lattice approximation, quantum fields, φ42 -model, inequalities, continuum limits 1. INTRODUCTION. Let Ga be the free lattice field measure of mass m0 > 0 and lattice spacing a > 0 on aZ2 = {an; n ∈ Z2 }, and let C (a) (x − y) = φx φy Ga , where ·∗ denotes the expectation with respect to ∗. Ga is thus the (lattice) Gaussian measure with covariance C (a) . (φx )x∈aZ2 is the coordinate process (a Gaussian field, called Euclidean free lattice field). One has by definition (see [3])  C (a) (x − y) = (2π)−2 eik·(x−y) µa (k)−2 dk, π 2 [− π a,a]. where.  µa (k) := m20 + 2a−2. 2 . 1/2 (1 − cos(akj )). for k = (k1 , k2 ).. j=1. Let µ0 be the (Nelson’s or Euclidean) free field measure on R2 of mass m0 , i.e., Gaussian measure on S  (R2 ) with the covariance (−∆ + m20 )−1 . Let 1 The first author is financially supported by Alexander von Humboldt Foundation (Germany) and Grant-in-Aid for the Encouragement of Young Scientists (No. 15740057), Japan Society for the Promotion of Science.

(2) 314. Sergio Albeverio and Song Liang. µ(k) := (m20 + |k|2 )1/2 , where k = (k1 , k2 ), |k|2 = k12 +k22 , and let fa,x (·) be the function whose Fourier transform is F(fa,x )(k) = (2π)−1 e−ik·x µa (k)−1 µ(k)1[− πa , πa ] (k1 )1[− πa , πa ] (k2 ). Denote by φ the coordinate process associated with µ0 (called Nelson’s or Euclidean free field): φ is first defined as an element of S  (R2 ), so that φ(g) is the dualization of g ∈ S(R2 ) with φ ∈ S  (R2 ). φ is then extended by continuity in L2 (dµ0 ) to a linear process φ(g), with g belonging to a larger space than S(R2 ). In fact this space contains functions of the form fa,x , and it is easy to check that φ(fa,x )φ(fa,y )µ0 = φx φy Ga . (see, e.g., [3] - [5]). In this sense, we can realize the above Gaussian field φx on aZ2 by φ(fa,x ) defined on S  (R2 ). Let g ∈ C0+ (R2 ) be a given function and let a = a (a) ≥ a satisfying a Z2 ⊂ aZ2 and lima→0+ a (a) = 0. Let : φ(fa,x )4 : be the fourth Wick order of φ(fa,x ), i.e., : φ(fa,x )4 := φ(fa,x )4 − 6C (a) (0)φ(fa,x )2 + 3C (a) (0)2 . For any λ > 0, let µλ,a,a be the probability measure on S  (R2 ) defined by −λ. µ. λ,a,a. (dφ) := .  a  Z2. e. S  (R2 ). −λ. e. . dxg(x):φ(fa,x )4 : a  Z2. µ0 (dφ). dxg(x):ψ(fa,x )4 :. ,. µ0 (dψ).  where we used the notation a Z2 dx to denote the lattice sum on a Z2 with weight a2 . By [1], we have that for λ > 0 small enough, there exists a sequence an → 0 ( n → ∞) such that µλ,an ,an converges weakly to a probability measure on S  (R2 ) as n → ∞, if lim an | log an |5/4 < ∞;. an →0. and moreover, if lim an | log an |2 < ∞,. an →0. then the limit is equal to the origin φ42 -field measure given by  µλ (dφ) =. −λ. e.  R2. g(x):φ(x)4 :dx. −1 µ0 (dφ). −λ. e.  R2. g(x):φ(x)4 :dx. µ0 (dφ),. where : φ(x)4 : is the fourth Wick power of Nelson’s free field φ(x) with respect to µ0 (see [3] for the definition of it). It is an interesting question to ask whether the above weak limit coincides with the original measure µλ . This will be discussed in the following section..

(3) A Remark on different lattice approximations. 315. 2. THE RESULT. It has been conjectured in [1] that for lim a | log a|2 = +∞,. a→0. the weak limit of µλ,a,a as a → 0 is different from µλ . A first result in this direction is given in the following: Let A > 0 be a constant such that the support of g is contained in the ball B(0, A) centered at 0 and of radius A, and let f = f4A,0 . Without loss of generality, we may and do assume that A = 14 . Then we have the following: Theorem 2.1 For any m ∈ N, if 1. lim a (a)| log a|2− 2m = +∞,. a→0. then. d2m a→0 dλ2m. . lim. S  (R2 ). φ(f )2 µλ,a,a (dφ). = +∞. λ=0. Remark 1: Intuitively, Theorem 2.1 means that the effect of the perturbation (coming from the interaction term depending on a ) in a fixed direction does not decay too fast when a → 0. This indeed makes it reasonable to expect that the weak limit of µλ,a,a as a → 0 is different from µλ . Also, we want to remind the reader that.  d2m. 2 φ(f ) µ (dφ). λ dλ2m λ=0  2 S (R )  2m  = : φ(f1,0 )2 : dxg(x) : φ4x : µ0 (dφ) < ∞. S  (R2 ). a Z2. It would be, on the other hand, not enough to argue (as shortly mentioned in [1], [2]) that having a Gaussian measure µ and making a change µ → µn = ean Zn µ, with an → ∞ and the law of the random variables Zn under µ converging to N (0, 1), that then the limit of µn would be orthogonal to µ. A counter-example to this can easily be provided: given an infinite dimensional product Gaussian measure µ = ⊗νn , νn being the standard centered Gaussian measure on R, if we change µ to a measure    with some νm = νm , then whatever {νm }m∈N is, the sequence µ(m) = ⊗n=m νn ⊗ νm µ(m) weakly converges to the original measure µ, as m → ∞. Proof of Theorem 2.1. We first remark that.  d2m. 2  (dφ). φ(f ) µ 1,0 λ,a,a dλ2m λ=0 S  (R2 )  2m  2 4 = : φ(f1,0 ) : dxg(x) : φ(fa,x ) : µ0 (dφ) S  (R2 ). = a4m. a Z2.  l1 ,···,l2m ∈Z2. 2m

(4) k=1. 2m.

(5) g(a lk ) : φ(f1,0 )2 : : φ(fa,a lk )4 :µ0 . k=1. Now, we shall calculate the expression on the right hand side.. (2.1).

(6) 316. Sergio Albeverio and Song Liang. Note that for any numbers α1 , · · · , α2m+1 ∈ R and functions f1 , · · · , f2m+1 ∈ H21 (R2 ), we have by the definition of Wick powers that 2m+1

(7).  2m+1 α α f f  : eαi fi : = : e i=1 αi fi : ×e 1≤i<j≤2m+1 i j i j ,. i=1. so. 2m+1

(8). .  α α f f  : eαi fi : = e 1≤i<j≤2m+1 i j i j .. i=1. Both sides are analytic in α1 , · · · , α2m+1 . Taking a Taylor expansion of both sides of 4 , we get that this equality, and comparing the coefficients of the term α12 α24 · · · α2m+1 2m+1. =.

(9) 1 2 : f : : fi4 : 1 2!(4!)2m i=2. 1 4 coefficient of α12 α24 · · · α2m+1 in (4m + 1)!.  αi αj fi fj )4m+1 the expansion of ( 1≤i<j≤2m+1. So we need some estimates of φ(f1,0 )φ(fa,a l )µ0 and φ(fa,a l1 )φ(fa,a l2 )µ0 . Let F −1 (·) denote the inverse Fourier transform. Then in general, we have that for any a > 0 and x, z ∈ R2 :  1 fa,x (z) = eik·z e−ik·x µa (k)−1 µ(k)dk 2π [− πa , πa ]2 −1 −1 = F −1 (µ−1 (µa µ)(x − z), a µ)(z − x) = F. so by the definition of µ(k), we have −1 (−∆ + m20 )−1 fa,x (z) = F −1 (µ−1 )(z − x). a µ. Therefore, for any x, y ∈ R2 and a ≥ b > 0, φ(fa,x )φ(fb,y )µ0  = fa,x (z)(−∆ + m20 )−1 fb,y (z)dz R2  −1 −1 −1 F −1 (µ−1 (µb µ )(z − y)dz = a µ)(x − z)F 2 R   −1 −1 −1   (µb µ ) (y − x) = F −1 (µ−1 a µ) ∗ F −1 −1 )(y − x) = (2π)−1 F −1 (µ−1 a µµb µ. −1 = (2π)−1 F −1 (µ−1 a µb )(y − x)  = (2π)−2 eik·(y−x) µa (k)−1 µb (k)−1 dk. π 2 [− π a,a]. Therefore, since. eiz + e−iz = 2 cos z.

(10) 317. A Remark on different lattice approximations. for any z ∈ R, we have that for any a < 1, φ(f1,0 )φ(fa,y )µ0  2 −1/2   −2 = (2π) eik·y m20 + 2 (1 − cos kj ) [−π,π]2. j=1. 2  −1/2  × m20 + 2a−2 (1 − cos(akj )) dk. = (2π)−2. j=1.  [−π,π]×[0,π]. 2  −1/2  cos(k · y) m20 + 2 (1 − cos kj ) j=1. 2  −1/2  × m20 + 2a−2 (1 − cos(akj )) dk. j=1. Therefore,. φ(f1,0 )φ(fa,y )µ0 ≤ 2(2π)−2 m20 (2π × π).. Moreover, since cos(k · y) > cos. π 4. and 2 . a−2 (1 − cos(akj )) ≤. j=1. 2 . a−2 |akj |2 = |k|2 ≤ 2π 2. j=1. for any k ∈ [−π, π]2 and y ∈ B(0, 14 ), we have φ(f1,0 )φ(fa,y )µ0 ≥ 2 cos Also,. 1 π × (2π)−2 2 (2π × π). 4 m0 + 2π 2. φ(fa,a l1 )φ(fa,a l2 ) > 0 for any l1 , l2 ∈ Z2 ,. and φ(fa,a l1 )2 ) = C (a) (0) ∼ | log a| as a → 0, in the sense that the quotient of the left hand side by the right hand side is lower and upper bounded by positive constants, as a → 0. So by (2.1) and (2.2), we have that  , Cm,g > 0 such that there exist constants Cm , Cm d2m dλ2m. . ≥ Cm a4m. φ(f1,0 ) µλ,a,a (dφ). 4. S  (R2 ).  l1 ,···,lm ∈Z2. m

(11). g(a lk )2. λ=0. k=1. ×φ(f1,0 )φ(fa,a l1 )2µ0 φ(fa,a l1 )2 3µ0. m

(12). φ(fa,a lk )2 4µ0. k=2.

(13) 318. Sergio Albeverio and Song Liang.  2m ≥ Cm a | log a|4m−1 a2m.  l1 ,···,lm. ∈Z2. m

(14). g(a lk )2. k=1. ≥ Cm,g a2m | log a|4m−1 . This completes the proof. REFERENCES. 1. S. Albeverio, M. S. Bernabei, and X. Y. Zhou. Lattice approximations and continuum limits of φ42 -quantum fields, J. Math. Phys. 45, 149–178 (2004). 2. S. Albeverio and X. Y. Zhou. A Central Limit Theorem for the Fourth Wick Power of the Free Lattice Field, Commun. Math. Phys, 181, 1–10 (1996). 3. B. Simon. The P (φ)2 Euclidean (Quantum) Field Theory. Princeton University Press (1974). 4. J. Glimm and A. Jaffe. Quantum physics. A functional integral point of view. Second edition. Springer-Verlag, New York (1987). 5. S. Albeverio, R. Høegh-Krohn, J. E. Fenstad and T. Lindstrøm. Nonstandard methods in stochastic analysis and mathematical physics. Pure and Applied Mathematics, 122. Academic Press, Inc..

(15)

Références

Documents relatifs

Poich`e il nostro obiettivo `e quello di studiare le dinamiche del sistema per progettare un controllore e poich`e il sistema operer`a in ben precise condizioni di lavoro, sar`

- To Workspace : dato un segnale in ingresso genera in uscita una variabile di tipo struttura od array contenente il segnale ed eventualmente il tempo di simulazione. - XY Graph

We prove that this Markov chain provides a uniform random sampler of lat- tice (d, k)-polytopes, and give a lower bound on the mixing time.. These objects appear in a wide range

S TEIGMANN A three-dimensional continuum theory for fibrous mechanical metamaterials is proposed, in which the fibers are assumed to be spatial Kirchhoff rods whose mechanical

L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des

Then the closed ideals of L correspond exactly, via the dimension map, to polar subsets of the Dedekind-complete lattice- ordered group K 0 (L). This leads to methods which can

Applicando la funzione summary all’oggetto di classe ca.jo si ottengono delle informazioni pi´ u dettagliate, come ad esempio: il valore della statistica test, il rango

This graph, issued from the dependence relation on a lattice [1], is a nice structure encoding together the minimal generators and the canonical direct basis of a