Iterated Function System

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Alexandru Mihail - One of the best experts on this subject based on the ideXlab platform.

Radu Miculescu - One of the best experts on this subject based on the ideXlab platform.

  • a new algorithm that generates the image of the attractor of a generalized Iterated Function System
    Numerical Algorithms, 2020
    Co-Authors: Radu Miculescu, Alexandru Mihail, Silviu Urziceanu
    Abstract:

    We provide a new algorithm (called the grid algorithm) designed to generate the image of the attractor of a generalized Iterated Function System on a finite dimensional space and we compare it with the deterministic algorithm regarding generalized Iterated Function Systems presented by Jaros et al. (Numer. Algorithms 73, 477–499, 2016).

  • A new algorithm that generates the image of the attractor of a generalized Iterated Function System
    arXiv: Dynamical Systems, 2019
    Co-Authors: Radu Miculescu, Alexandru Mihail, Silviu Urziceanu
    Abstract:

    We provide a new algorithm (called the grid algorithm) designed to generate the image of the attractor of a generalized Iterated Function System on a finite dimensional space and we compare it with the deterministic algorithm regarding generalized Iterated Function Systems presented by P. Jaros, L. Maslanka and F. Strobin in [Algorithms generating images of attractors of generalized Iterated Function Systems, Numer. Algorithms, 73 (2016), 477-499].

  • The canonical projection associated to certain possibly infinite generalized Iterated Function System as a fixed point
    arXiv: Classical Analysis and ODEs, 2018
    Co-Authors: Radu Miculescu, Silviu Urziceanu
    Abstract:

    In this paper, influenced by the ideas from A. Mihail, The canonical projection between the shift space of an IIFS and its attractor as a fixed point, Fixed Point Theory Appl., 2015, Paper No. 75, 15 p., we associate to every generalized Iterated Function System F (of order m) an operator H defined on C^m and taking values on C, where C stands for the space of continuous Functions from the shift space on the metric space corresponding to the System. We provide sufficient conditions (on the constitutive Functions of F) for the operator H to be continuous, contraction, phi-contraction, Meir-Keeler or contractive. We also give sufficient condition under which H has a unique fixed point. Moreover, we prove that, under these circumstances, the closer of the imagine of the fixed point is the attractor of F and that the fixed point is the canonical projection associated to F. In this way we give a partial answer to the open problem raised on the last paragraph of the above mentioned Mihail's paper.

  • Iterated Function Systems consisting of phi-max-contractions have attractor
    arXiv: Classical Analysis and ODEs, 2017
    Co-Authors: Flavian Georgescu, Radu Miculescu, Alexandru Mihail
    Abstract:

    We associate to each Iterated Function System consisting of phi-max-contractions an operator (on the space of continuous Functions from the shift space on the metric space corresponding to the System) having a unique fixed point whose image turns out to be the attractor of the System. Moreover, we prove that the unique fixed point of the operator associated to an Iterated Function System consisting of convex contractions is the canonical projection from the shift space on the attractor of the System.

  • A generalization of Istratescu's fixed point theorem for convex contractions
    arXiv: Classical Analysis and ODEs, 2015
    Co-Authors: Radu Miculescu, Alexandru Mihail
    Abstract:

    In this paper we prove a generalization of Istr\u{a}\c{t}escu's theorem for convex contractions. More precisely, we introduce the concept of Iterated Function System consisting of convex contractions and prove the existence and uniqueness of the attractor of such a System. In addition we study the properties of the canonical projection from the code space into the attractor of an Iterated Function System consisting of convex contractions.

Loredana Ioana - One of the best experts on this subject based on the ideXlab platform.

Trubee Davison - One of the best experts on this subject based on the ideXlab platform.

  • A Positive Operator-Valued Measure for an Iterated Function System
    Acta Applicandae Mathematicae, 2018
    Co-Authors: Trubee Davison
    Abstract:

    Given an Iterated Function System (IFS) on a complete and separable metric space  Y $Y$ , there exists a unique compact subset X ⊆ Y $X \subseteq Y$ satisfying a fixed point relation with respect to the IFS. This subset is called the attractor set, or fractal set, associated to the IFS. The attractor set supports a specific Borel probability measure, called the Hutchinson measure, which itself satisfies a fixed point relation. P. Jorgensen generalized the Hutchinson measure to a projection-valued measure, under the assumption that the IFS does not have essential overlap (Jorgensen in Adv. Appl. Math. 34(3):561–590, 2005 ; Operator Theory, Operator Algebras, and Applications, pp. 13–26, 2006 ). In previous work, we developed an alternative approach to proving the existence of this projection-valued measure (Davison in Acta Appl. Math. 140(1):11–22, 2015 ; Acta Appl. Math. 140(1):23–25, 2015 ; Generalizing the Kantorovich metric to projection-valued measures: with an application to Iterated Function Systems, 2015 ). The situation when the IFS exhibits essential overlap has been studied by Jorgensen and colleagues in Jorgenson et al. (J. Math. Phys. 48(8):083511, 35, 2007 ). We build off their work to generalize the Hutchinson measure to a positive-operator valued measure for an arbitrary IFS, that may exhibit essential overlap. This work hinges on using a generalized Kantorovich metric to define a distance between positive operator-valued measures. It is noteworthy to mention that this generalized metric, which we use in our previous work as well, was also introduced by R.F. Werner to study the position and momentum observables, which are central objects of study in the area of quantum theory (Werner in J. Quantum Inf. Comput. 4(6):546–562, 2004 ). We conclude with a discussion of Naimark’s dilation theorem with respect to this positive operator-valued measure, and at the beginning of the paper, we prove a metric space completion result regarding the classical Kantorovich metric.

  • a positive operator valued measure for an Iterated Function System
    arXiv: Functional Analysis, 2016
    Co-Authors: Trubee Davison
    Abstract:

    Given an Iterated Function System (IFS) on a complete and separable metric space $Y$, there exists a unique compact subset $X \subseteq Y$ satisfying a fixed point relation with respect to the IFS. This subset is called the attractor set, or fractal set, associated to the IFS. The attractor set supports a specific Borel probability measure, called the Hutchinson measure, which itself satisfies a fixed point relation. P. Jorgensen generalized the Hutchinson measure to a projection-valued measure, under the assumption that the IFS does not have essential overlap. In previous work, we developed an alternative approach to proving the existence of this projection-valued measure. The situation when the IFS exhibits essential overlap has been studied by Jorgensen and colleagues in. We build off their work to generalize the Hutchinson measure to a positive-operator valued measure for an arbitrary IFS, that may exhibit essential overlap. This work hinges on using a generalized Kantorovich metric to define a distance between positive operator-valued measures. It is noteworthy to mention that this generalized metric, which we use in our previous work as well, was also introduced by R.F. Werner to study the position and momentum observables, which are central objects of study in the area of quantum theory. We conclude with a discussion of Naimark's dilation theorem with respect to this positive operator-valued measure, and at the beginning of the paper, we prove a metric space completion result regarding the classical Kantorovich metric.

Michael F Barnsley - One of the best experts on this subject based on the ideXlab platform.