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ISSN 1064-5624, Doklady Mathematics, 2012, Vol. 86, No. 3, pp. 843–845. © Pleiades Publishing, Ltd., 2012.

Original Russian Text © V.S. Anashin, A.Yu. Khrennikov, E.I. Yurova, 2012, published in Doklady Akademii Nauk, 2012, Vol. 447, No. 6, pp. 595–598.

843 The theory of p-adic dynamical systems is under intense development [1, 2, 6], and more new tions are emerging. In addition to “traditional applica-tions” in areas, such as theoretical p-adic physics [7], population dynamics [8], psychology [9], and cryp-tography [1, 3, 5], we note applications to genetic code analysis [10]. In particular, the ergodicity of dynamics plays an important role in many applied problems. One of the first problems concerning the ergodicity of p-adic dynamics was the study of dynamical systems on p-adic spheres [2, 11, 12]. First, the simplest dynamical systems were considered, namely, itera-tions of monomial mappings xxm, m = 2, 3, …, sending spheres into themselves. It was shown that even this dynamics is rather complicated: for the sys-tems to be ergodic, the positive integer m > 1 has to be related to the prime number p > 1 in a nontrivial man-ner. In [11] the problem was posed of the stability of the ergodicity condition with respect to a perturbation of monomial dynamics by “small polynomial map-pings xxs +

v(x), where v(x) is a “small polyno-mial.” This problem was solved in 2006 [4].

In the last years, interest has been aroused in the study of (discrete) p-adic dynamical systems xf(x) with nonpolynomial functions. Moreover, for many applications, especially, for cryptography [1], the study of dynamics for nonanalytical and even nons-mooth functions is of great interest. Specifically, in cryptography, this is associated with the fact that many natural pseudorandom number generators con-structed using ergodic 2-adic dynamical systems are based on nonsmooth mappings xf(x), which include, for example, bitwise logical operations. We have recently developed a new approach to the study of the ergodicity of p-adic dynamical systems based on using the van der Put basis in the space of continuous

functions f: ⺪pp, where ⺪p is the ring of p-adic integers (topologically, it is the unit closed ball U1(0) =

{x∈⺡p: |x|p≤ 1} in the field ⺡p of p-adic numbers). The elements of the van der Put basis are constructed using the characteristic functions of p-adic balls, which are locally constant functions. (Note that, in the p-adic case, such functions are continuous; more-over, the set of piecewise constant functions is dense in the space of continuous functions. Thus, it is not sur-prising that piecewise constant functions can be used to construct bases with different properties.) By using the van der Put basis, we can examine the ergodicity of

p-adic dynamical systems with continuous functions, i.e., go beyond the traditionally used classes of polyno-mial, analytical, and smooth functions. In [13] ergod-icity conditions were found for compatible mappings f:

pp (i.e., mappings satisfying the p-adic Lipschitz condition with constant 1). The strongest results were obtained in the 2-adic case (which is of greatest inter-est for cryptographic applications), but some results were also obtained for odd p.

In this paper, a technique based on using the expansion coefficients with respect to the van der Put basis is applied to study dynamical systems on 2-adic spheres, f: Sr(a) →Sr(a), where Sr(a) = {x∈⺡p: |xa|p = r}, a∈⺪p, r = , k = 1, 2, …. Specifically, we solve the problem of the stability of the ergodicity con-dition for nonsmooth perturbations of monomial dynamical systems, i.e., for mappings of the form xxs +

v(x), where v is a “small perturbation.” Thus, posed in [11], the problem of deriving ergodicity con-ditions for small perturbations of monomial dynami-cal systems on spheres is completely solved in the 2-adic case. The transition to the case of odd p is non-trivial. In this case, the above problem for nonsmooth functions remains open.

Note that the study of ergodicity of dynamical sys-tems on spheres (rather than on the whole ring ⺪p of p-adic integers) is important for the design of congru-ent pseudorandom generators for quasi-Monte Carlo numerical methods. Namely, if the composition of the recurrence law for a generator involves a partially

1 2k

----Ergodicity of Dynamical Systems on 2-Adic Spheres

V. S. Anashina

, A. Yu. Khrennikovb

, and E. I. Yurovab

Presented by Academician V.S. Vladimirov May 19, 2011

Received August 19, 2011

DOI: 10.1134/S1064562412060312

a Faculty of Computational Mathematics and Cybernetics, Moscow State University, Moscow, 119991 Russia

e-mail: vladimir.anashin@u-picardie.fr

b International Center for Mathematical Modeling, Linnaeus University, S-35195 Växjö, Sweden

e-mail: andrei.khrennikov@lnu.se, ekaterina.yurova@lnu.se

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844

DOKLADY MATHEMATICS Vol. 86 No. 3 2012

ANASHIN et al.

defined operation (e.g., taking an inverse element) or an operation whose domain is smaller than the ring of p-adic integers (e.g., exponentiation), then such a generator reaches a maximum period only if its recur-rence law is an ergodic transformation of a p-adic sphere (for more detail, see [1, Subsection 9.2.2]). Generators using such operations are rather wide-spread (see, for example, [14, 15]). It should also be noted that the performance of the generator is an important characteristic for these applications. That is why not only “slow” operations (such as multiplica-tion, taking an inverse, or exponentiation) but also “fast” operations, such as bitwise logical ones, are use-ful in the composition of the recurrence law. However, in the latter case, the recurrence law, though remain-ing continuous with respect to the p-adic metric, is no longer a smooth p-adic function. Thus, the results of this paper surpass the boundaries of purely mathemat-ical interest.

Let a function f: ⺪pp be defined (and take val-ues) on the set ⺪p of all p-adic integers (p is prime), and let f satisfy the Lipschitz condition with constant 1 with respect to the p-adic metric |·|p: |f(x) – f(y)|p

|xy|p for all x, y ∈⺪p. Recall that a mapping of an algebraic system A to itself is called compatible if it preserves all the congruences of A. Since ⺪p is a com-mutative ring with respect to addition and multiplica-tion, a function f: ⺪pp satisfies the Lipschitz con-dition with constant 1 if and only if it is compatible; i.e., f(x) ≡f(y)(modpk) whenever xy (modpk); x, y smallest nonnegative residue of z modulo pk.

The space ⺪p is equipped with the natural probabil-ity measure, namely, the Haar measure μp normalized so that μp(⺪p) = 1. Elementary μp-measurable sets are p-adic balls. Recall that the p-adic ball of radius pk is the set a + pk

p of all p-adic integers that are congruent to a modulo pk. The volume of this ball is defined as

μp(a + pkp) = pk.

Recall that a measurable mapping f : ⺣→⺣ of a measurable space S with a probability measure μ is said to preserve the measure μ (in what follows, measure-preserving) if μ(f–1(S)) = μ(S) for each measurable

subset SS. A μ-preserving mapping f : ⺣ ⺣ is called ergodic if it has no proper invariant subsets, i.e., if f–1(S) = S for a measurable subset S implies μ(S)

= 0 or μ(S) = 1.

We say that a compatible function f: ⺪p p is bijective (transitive) modulo pk if the induced mapping xf(x)modpk is a permutation (a permutation that is a single cycle, respectively) on ⺪/pk. A compatible

function f: ⺪pp is measure-preserving (ergodic) if and only if it is bijective (transitive, respectively) mod-ulo pk for all k = 1, 2, … (see [1, Theorem 4.23]).

It is well known that any continuous mapping f:

pp of the space ⺪p to the space ⺪p of p-adic inte-gers can be defined using a van der Put series. Namely, given a mapping f, there is a unique sequence {Bf(0), it is equal to the number of digits in the base-p expan-sion of m ∈ ⺞0. Namely, given m ∈⺞, if

denotes the largest rational integer not greater than , then is the length of the base-p expan-of the ball expan-of radius centered at the point m∈⺞0:

χ(m, x) =

=

CRITERION FOR THE ERGODICITY OF A COMPATIBLE MAPPING

OF A SPHERE IN TERMS OF THE VAN DER PUT SERIES

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DOKLADY MATHEMATICS Vol. 86 No. 3 2012

ERGODICITY OF DYNAMICAL SYSTEMS 845

sphere (a) coincides with the ball (a + 2r) of radius 2–r– 1 centered at the point a + 2r: (a) = {a+ 2r + 2r+ 1x: x

2} = (a + 2r). Note that we then

have f(a + 2r + 2r+ 1x) = f(a + 2r) +2r+ 1g(x), where g: 2 →⺪2 is a compatible function.

Theorem 1.The function f is ergodic on the sphere

(a) if and only if and

g(x) is ergodic on2.

It was shown [13] that a function f: ⺪22

repre-sented as a van der Put series f(x) = (m)χ(m, x)

is ergodic on ⺪2 if and only if Bf(m) ≡ 0 (mod ) for all m = 0, 1, 2, …; i.e., if and only if Bf(m) = for suitable p-adic integers bf(m), m = 0, 1, 2, … .

Theorem 2.A compatible function f: ⺪22 repre-sented as a van der Put series

wherebf(m) ∈⺪2andm = 0, 1, 2, …, is ergodic on the sphere (a) if and only if the following conditions are satisfied:

(i) f(a + 2r) a + 2r + 2r+ 1(mod2r+ 1);

(ii) |bf(a + 2r + m · 2r+ 1)|

2 = 1 form> 0;

(iii) ≡ 1 (mod 4);

(iv) + ≡ 2

(mod4);

(v) ≡ 0 (mod4) forn≥ 3.

CRITERION FOR THE ERGODICITY OF SMALL PERTURBATIONS OF A MONOMIAL MAPPING OF A SPHERE

Consider the mapping f(x) = xs + 2r+ 1u(x) of

the sphere (1) = {1 + 2r + 2r+ 1x: x

2}, s, r∈ {1, 2,

3, …}.

Theorem 3. Letu: ⺪22be an arbitrary compat-ible function. The function f(x) = xs + 2r+ 1u(x) is ergodic on the sphere (1) = {1 + 2r+ 1x: x

2} if and only ifs≡ 1 (mod 4) andu(1) ≡ 1 (mod 2).

ACKNOWLEDGMENTS

Anashin acknowledges the support of the Russian Foundation for Basic Research (project no. 12-01-00680-a) and the Science Foundation of the People’s Republic of China (visiting professorship for senior international scientists, grant no. 2009G2-11).

REFERENCES

1. V. S. Anashin and A. Yu. Khrennikov, Applied Algebraic Dynamics (Walter de Gruyter, Berlin, 2009).

2. A. Yu. Khrennikov, Non-Archimedean Analysis: Quan-tum Paradoxes, Dynamical Systems, and Biological Models (Kluwer, Dordrecht, 1997).

3. V. S. Anashin, Math. Notes 55, 109–133 (1994). 4. V. Anashin, Proceedings of 2nd International

Confer-ence on p-Adic Mathematical Physics, Belgrade, Sep-tember 15–21, 2005, AIP Conference Proc. Melville (Am. Inst. Phys, New York, 2006), Vol. 826, pp. 3–24.

5. V. Anashin, Proceedings of Advanced Study Institute Boolean Functions in Cryptology and Information Secu-rity, NATO Sci. Peace Secur. Ser. D. Inf. Commun. Secur. (IOS, Amsterdam, 2008), pp. 33–57.

6. S. De Smedt and A. Khrennikov, Comment. Math. Univ. St. Pauli 4 (2), 117–132 (1997).

7. B. Dragovich, A. Khrennikov, S. V. Kozyrev, and I. V. Volovich, p-Adic Numbers Ultrametric Anal. Appl. 1 (1), 1–17 (2009).

8. A. Yu. Khrennikov, Dokl. Math. 58, 151–153 (1998). 9. A. Y. Khrennikov, p-Adic Numbers, Ultrametric Anal.,

Appl. 2 (1), 1–20 (2010).

10. A. Khrennikov and S. V. Kozyrev, Phys. A: Stat. Mech. Appl. 381, 265–272 (2007).

11. M. Gundlach, A. Khrennikov, and K.-O. Lindahl, Lect. Notes Pure Appl. Math. 222, 127–132 (2001). 12. M. Gundlach, A. Khrennikov, and K.-O. Lindahl,

Infi-nite Dimen. Anal., Quantum Prob. Related Fields 4, 569–577 (2001).

13. V. S. Anashin, A. Yu. Khrennikov, and E. I. Yurova, Dokl. Math. 83, 306–308 (2011).

14. J. Eichenauer-Herrmann, E. Herrmann, and S. Wegen-kittl, Lect. Notes Stat. 127, 66–97 (1996).

15. H. Niederreiter, Random Number Generation and Quasi-Monte Carlo Methods (SIAM, Philadelphia, PA, 1992).

S

2–r U2–r–1

S

2–r U

2–r–1

S

2–r f a 2

r

+

( ) ≡(a+2r)(mod2r+1)

Bf m=0

2 log2m

2 log2m bf( )m

f x( ) Bf( )χm (m x, )

m=0 ∞

2 log2m

bf( )χm (m x, ), m=0

= =

S

2–r

bf a 2 r

2r+1

+ +

( )

bf a 2r 2r+2

+ +

( ) bf a 2r 3×2r+1

+ +

( )

bf(a+2r+m⋅2r+1) m=2n–1

2n–1

S

2–r

S

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