66 research outputs found

    Long time behaviour of random walks on the integer lattice

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    We consider an irreducible finite range random walk on the dd-dimensional integer lattice and study asymptotic behaviour of its transition function p(n;x)p(n; x). In particular, for simple random walk our asymptotic formula is valid as long as n(nx1)2n (n - |x|_1)^{-2} tends to zero

    Pointwise ergodic theorems for some thin subsets of primes

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    We establish pointwise ergodic theorems for operators of Radon type along subsets of prime numbers of the form {{φ1(n)}<ψ(n)}\big\{\{ \varphi_1(n)\} < \psi(n)\big\}. We achieve this by proving p(Z)\ell^p(\mathbb{Z}) boundedness of rr-variations, where p>1p > 1 and r>2r > 2

    Heat kernel and Green function estimates on affine buildings

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    We obtain the optimal global upper and lower bounds for the transition density pn(x,y)p_n(x,y) of a finite range isotropic random walk on affine buildings. We present also sharp estimates for the corresponding Green function

    Periodic perturbations of unbounded Jacobi matrices I: Asymptotics of generalized eigenvectors

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    We study asymptotics of generalized eigenvectors associated with Jacobi matrices. Under weak conditions on the coefficients we identify when the matrices are self-adjoint and show that they satisfy strong non-subordinacy condition.Comment: 34 page

    Cotlar's ergodic theorem along the prime numbers

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    The aim of this paper is to prove Cotlar's ergodic theorem modeled on the set of primes

    Littlewood-Paley theory for triangle buildings

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    For the natural two parameter filtration (Fλ:λP)(\mathcal{F}_\lambda : \lambda \in P) on the boundary of a triangle building we define a maximal function and a square function and show their boundedness on Lp(Ω0)L^p(\Omega_0) for p(1,)p \in (1, \infty). At the end we consider Lp(Ω0)L^p(\Omega_0) boundedness of martingale transforms. If the building is of GL(3,Qp)\text{GL}(3, \mathbb{Q}_p) then Ω0\Omega_0 can be identified with pp-adic Heisenberg group.Comment: Accepted for publication in The Journal of Geometric Analysis, 18 pages, 5 figure

    Discrete maximal functions in higher dimensions and applications to ergodic theory

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    We establish a higher dimensional counterpart of Bourgain's pointwise ergodic theorem along an arbitrary integer-valued polynomial mapping. We achieve this by proving variational estimates VrV_r on LpL^p spaces for all 1<p<1<p<\infty and r>max{p,p/(p1)}r>\max\{p, p/(p-1)\}. Moreover, we obtain the estimates which are uniform in the coefficients of a polynomial mapping of fixed degree

    Endpoint estimates for the maximal function over prime numbers

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    Given an ergodic dynamical system (X,B,μ,T)(X, \mathcal{B}, \mu, T), we prove that for each function ff belonging to the Orlicz space L(logL)2(loglogL)(X,μ)L(\log L)^2(\log \log L)(X, \mu), the ergodic averages 1π(N)pPNf(Tpx), \frac{1}{\pi(N)} \sum_{p \in \mathbb{P}_N} f\big(T^p x\big), converge for μ\mu-almost all xXx \in X, where PN\mathbb{P}_N is the set of prime numbers not larger that NN and π(N)=#PN\pi(N) = \# \mathbb{P}_N.Comment: to appear in Journal of Fourier Analysis And Application

    Variational estimates for discrete operators modeled on multi-dimensional polynomial subsets of primes

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    We prove the extensions of Birkhoff's and Cotlar's ergodic theorems to multi-dimensional polynomial subsets of prime numbers Pk\mathbb{P}^k. We deduce them from p\ell^p-boundedness of rr-variational seminorms for the corresponding discrete operators of Radon type, where p>1p > 1 and r>2r > 2.Comment: To appear in Mathematische Annale

    The Maximal Function and Square Function Control the Variation: An Elementary Proof

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    In this note we prove the following good-λ\lambda inequality, for r>2r>2, all λ>0\lambda > 0, δ(0,12)\delta \in \big(0, \frac{1}{2} \big) ν{Vr(f)>3λ;M(f)δλ}4ν{s(f)>δλ}+δ2(1+16r2)2ν{Vr(f)>λ}, \nu\big\{ V_r(f) > 3 \lambda ; \mathcal{M}(f) \leq \delta \lambda\big\} \leq 4 \nu\{s(f) > \delta \lambda\} + {\delta^2 \left(1+\frac{16}{r-2}\right)^2} \cdot \nu\big\{ V_r(f) > \lambda\big\}, where M(f)\mathcal{M}(f) is the martingale maximal function, s(f)s(f) is the conditional martingale square function. This immediately proves that Vr(f)V_r(f) is bounded on LpL^p, 1<p<1 < p <\infty and moreover is integrable when the maximal function is.Comment: 6 Pages. The current version implements suggestions from the referee. Accepted to the Proceedings of AM
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