93 research outputs found

    Quantitative recurrence properties in conformal iterated function systems

    Full text link
    Let Λ\Lambda be a countable index set and S={ϕi:iΛ}S=\{\phi_i: i\in \Lambda\} be a conformal iterated function system on [0,1]d[0,1]^d satisfying the open set condition. Denote by JJ the attractor of SS. With each sequence (w1,w2,...)ΛN(w_1,w_2,...)\in \Lambda^{\mathbb{N}} is associated a unique point x[0,1]dx\in [0,1]^d. Let JJ^\ast denote the set of points of JJ with unique coding, and define the mapping T:JJT:J^\ast \to J^\ast by Tx=T(w1,w2,w3...)=(w2,w3,...)Tx= T (w_1,w_2, w_3...) = (w_2,w_3,...). In this paper, we consider the quantitative recurrence properties related to the dynamical system (J,T)(J^\ast, T). More precisely, let f:[0,1]dR+f:[0,1]^d\to \mathbb{R}^+ be a positive function and R(f):={xJ:Tnxx<eSnf(x), for infinitely many nN},R(f):=\{x\in J^\ast: |T^nx-x|<e^{-S_n f(x)}, \ {\text{for infinitely many}}\ n\in \mathbb{N}\}, where Snf(x)S_n f(x) is the nnth Birkhoff sum associated with the potential ff. In other words, R(f)R(f) contains the points xx whose orbits return close to xx infinitely often, with a rate varying along time. Under some conditions, we prove that the Hausdorff dimension of R(f)R(f) is given by inf{s0:P(T,s(f+logT))0}\inf\{s\ge 0: P(T, -s(f+\log |T'|))\le 0\}, where PP is the pressure function and TT' is the derivative of TT. We present some applications of the main theorem to Diophantine approximation.Comment: 25 page

    Multifractal properties of typical convex functions

    Get PDF
    We study the singularity (multifractal) spectrum of continuous convex functions defined on [0,1]d[0,1]^{d}. Let Ef(h)E_f({h}) be the set of points at which ff has a pointwise exponent equal to hh. We first obtain general upper bounds for the Hausdorff dimension of these sets Ef(h)E_f(h), for all convex functions ff and all h0h\geq 0. We prove that for typical/generic (in the sense of Baire) continuous convex functions f:[0,1]dRf:[0,1]^{d}\to \mathbb{R} , one has dimEf(h)=d2+h\dim E_f(h) =d-2+h for all h[1,2],h\in[1,2], and in addition, we obtain that the set Ef(h) E_f({h} ) is empty if h(0,1)(1,+)h\in (0,1)\cup (1,+\infty). Also, when ff is typical, the boundary of [0,1]d[0,1]^{d} belongs to Ef(0)E_{f}({0})

    Measures and functions with prescribed homogeneous multifractal spectrum

    Full text link
    In this paper we construct measures supported in [0,1][0,1] with prescribed multifractal spectrum. Moreover, these measures are homogeneously multifractal (HM, for short), in the sense that their restriction on any subinterval of [0,1][0,1] has the same multifractal spectrum as the whole measure. The spectra ff that we are able to prescribe are suprema of a countable set of step functions supported by subintervals of [0,1][0,1] and satisfy f(h)hf(h)\leq h for all h[0,1]h\in [0,1]. We also find a surprising constraint on the multifractal spectrum of a HM measure: the support of its spectrum within [0,1][0,1] must be an interval. This result is a sort of Darboux theorem for multifractal spectra of measures. This result is optimal, since we construct a HM measure with spectrum supported by [0,1]2[0,1] \cup {2}. Using wavelet theory, we also build HM functions with prescribed multifractal spectrum.Comment: 34 pages, 6 figure

    Dimensions of some fractals defined via the semigroup generated by 2 and 3

    Full text link
    We compute the Hausdorff and Minkowski dimension of subsets of the symbolic space Σm={0,...,m1}N\Sigma_m=\{0,...,m-1\}^\N that are invariant under multiplication by integers. The results apply to the sets {xΣm:k, xkx2k...xnk=0}\{x\in \Sigma_m: \forall\, k, \ x_k x_{2k}... x_{n k}=0\}, where n3n\ge 3. We prove that for such sets, the Hausdorff and Minkowski dimensions typically differ.Comment: 22 page

    Sparse sampling and dilation operations on a Gibbs weighted tree, and multifractal formalism

    Full text link
    In this article, starting from a Gibbs capacity, we build a new random capacity by applying two simple operators, the first one introducing some redundancy and the second one performing a random sampling. Depending on the values of the two parameters ruling the redundancy and the sampling, the new capacity has very different multifractal behaviors. In particular, the multifractal spectrum of the capacity may contain two to four phase transitions, and the multifractal formalism may hold only on a strict subset (sometimes, reduced to a single point) of the spectrum's domain.Comment: 31 pages, 5 figures; the statement of Theorem 2.5 has been simplified with new equivalent definitions of some parameters and is now easier to compare to those of Theorems 2.1 and 2.4. Also, the statements of Theorems 4.7 and 5.9 are more precis
    corecore