Study shows Julia sets and gasket limit sets are quasiconformally different.
arXiv research
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The Basilica Julia set is universally equivalent to other complex dynamics sets.
We investigate the dynamics of semigroups generated by a family of polynomial maps on the Riemann sphere such that the postcritical set in the complex plane is bounded. The Julia set of such a semigroup may not be connected in general. We show that for such a polynomial semigroup, if and are two connected compo…
We extend a result regarding the Random Backward Iteration algorithm for drawing Julia sets (known to work for certain rational semigroups containing a non-Möbius element) to a class of Möbius semigroups which includes certain settings not yet been dealt with in the literature, namely, when the Julia set is not a thick…
We show that if is a quadratic polynomial with a fixed Cremer point and Julia set , then for any monotone map $\ph:J\to A$ from onto a locally connected continuum , is a single point.
Study dynamics of automorphisms on cubic surfaces and their connection to Painlevé 6.
MLJ offers a Julia package for composing machine learning models.
JuliaConnectoR integrates Julia functions into R for deep learning.
This paper deals with both complex dynamical systems and conformal iterated function systems. We study finitely generated expanding semigroups of rational maps with overlaps on the Riemann sphere. We show that if a -parameter family of such semigroups satisfies the transversality condition, then for almost every par…
Julia accelerates machine learning in various fields with balance of efficiency and simplicity.
We consider the dynamics of rational semigroups (semigroups of rational maps) on the Riemann sphere. We provide proof that a random backward iteration algorithm to draw the pictures of the Julia sets, previously proven to work in the context of iteration of a rational map of degree two or more, extends to finitely gene…
First constructed genus 2 Cantor set in 3D space.
We investigate the dynamics of -generator semigroups of polynomials with bounded planar postcritical set and associated random dynamics on the Riemann sphere. Also, we investigate the space of such semigroups. We show that for a parameter in the intersection of , the hyperbolicity locus ${\c…
Abstract: Deltoid map connects complex dynamics and algebra.
Google's Cloud TPUs are a promising new hardware architecture for machine learning workloads. They have powered many of Google's milestone machine learning achievements in recent years. Google has now made TPUs available for general use on their cloud platform and as of very recently has opened them up further to allow…
Scorio.jl ranks systems from repeated tasks using various methods.
JULIA combines multi-linear and nonlinear models for tensor completion.
We investigate the random dynamics of polynomial maps on the Riemann sphere and the dynamics of semigroups of polynomial maps on the Riemann sphere. In particular, the dynamics of a semigroup of polynomials whose planar postcritical set is bounded and the associated random dynamics are studied. In general, the Juli…
Paper introduces a new Poisson kernel for strongly pseudoconvex domains.
We present new rectification theorems of degenerate quasi-conformal structures that give a meaning to quotients of Riemann surfaces with empty interior "fundamental domains". These techniques are used to define the unique renormalization of polynomials with Cantor set Julia sets.
This paper describes Convex, a convex optimization modeling framework in Julia. Convex translates problems from a user-friendly functional language into an abstract syntax tree describing the problem. This concise representation of the global structure of the problem allows Convex to infer whether the problem complies …
Let be a polynomial of degree with a Cremer point and no repelling or parabolic periodic bi-accessible points. We show that there are two types of such Julia sets . The \emph{red dwarf} are nowhere connected im kleinen and such that the intersection of all impressions of external angles is a cont…
Gaussian processes are a class of flexible nonparametric Bayesian tools that are widely used across the sciences, and in industry, to model complex data sources. Key to applying Gaussian process models is the availability of well-developed open source software, which is available in many programming languages. In this …
We present the preliminary high-level design and features of DynamicPPL.jl, a modular library providing a lightning-fast infrastructure for probabilistic programming. Besides a computational performance that is often close to or better than Stan, DynamicPPL provides an intuitive DSL that allows the rapid development of…
NoLimits.jl: Flexible and Composable Nonlinear Mixed-Effects Modeling in Julia
According to an analogy to quasi-Fuchsian groups, we investigate topological and combinatorial structures of Lyubich and Minsky's affine and hyperbolic 3-laminations associated with the hyperbolic and parabolic quadratic maps. We begin by showing that hyperbolic rational maps in the same hyperbolic component have quasi…
Efficient packages solve SLOPE problem in multiple languages.
Little is known about the global topology of the Fatou set for holomorphic endomorphisms , when . Classical theory describes as the complement in of the support of a dynamically-defined closed positive current. Given any closed positive $(…
Algorithm approximates functions into manifolds with curvature bounds.
We present proofs of basic results, including those developed by Harold Bell, for the plane fixed point problem: does every map of a non-separating plane continuum have a fixed point? Some of these results had been announced much earlier by Bell but without accessible proofs. We define the concept of the variation of a…
Celeste is a procedure for inferring astronomical catalogs that attains state-of-the-art scientific results. To date, Celeste has been scaled to at most hundreds of megabytes of astronomical images: Bayesian posterior inference is notoriously demanding computationally. In this paper, we report on a scalable, parallel v…
CoinTossX is a low-latency, open-source matching engine for financial trading.
Extends DCP framework to Hadamard manifolds for geodesically convex functions.
The presentation of supergravity theories of our previous paper "Super-Poincare' algebras, space-times and supergravities (I)" is re-formulated in the language of Berezin-Leites-Kostant theory of supermanifolds. It is also shown that the equations of Cremmer, Julia and Scherk's theory of 11D-supergravity are equivalent…
Paper introduces probabilistic approach to CO layers in ML.
We discuss analogues of the prime number theorem for a hyperbolic rational map f of degree at least two on the Riemann sphere. More precisely, we provide counting estimates for the number of primitive periodic orbits of f ordered by their multiplier, and also obtain equidistribution of the associated holonomies; both e…
An infinite family of generalized pseudo-Anosov homeomorphisms of the sphere S is constructed, and their invariant foliations and singular orbits are described explicitly by means of generalized train tracks. The complex strucure induced by the invariant foliations is described, and is shown to make S into a complex sp…
The paper studies degenerations of rational maps and their limits as geometrically finite rational maps.
WENDy now estimates nonlinear ODEs with noisy data.
Path signatures adapted for Lie groups improve action recognition in computer vision.
Recombinant binomial trees are binary trees where each non-leaf node has two child nodes, but adjacent parents share a common child node. Such trees arise in finance when pricing an option. For example, valuation of a European option can be carried out by evaluating the expected value of asset payoffs with respect to r…
Kempe discusses NTK approach to machine learning problems.
Survey explores interactions between four conformal dynamics branches.
New connection found between complex polynomials and surface homeomorphisms.
The generation of artificial data based on existing observations, known as data augmentation, is a technique used in machine learning to improve model accuracy, generalisation, and to control overfitting. Augmentor is a software package, available in both Python and Julia versions, that provides a high level API for th…
We describe relations between hyperbolic geometry and codimension two knots or, more exactly, between varieties of conjugacy classes of discrete faithful representations of the fundamental groups of hyperbolic n-manifolds M into and (n-1)-dimensional knots in the (n+1)-sphere. This a…
Identifying the unknown underlying trend of a given noisy signal is extremely useful for a wide range of applications. The number of potential trends might be exponential, which can be computationally exhaustive even for short signals. Another challenge, is the presence of abrupt changes and outliers at unknown times w…
In this article we prove that, for an oriented PL -manifold with boundary components and , there exist mutually disjoint closed Euclidean balls and a -quasiregular mapping of degree at least . The result is …