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Related papers: Fractality in resistive circuits: The Fibonacci re…

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In the present work we explore resistive circuits where the individual resistors are arranged in fractal-like patterns. These circuits have some of the characteristics typically found in geometric fractals, namely self-similarity and scale…

We study the multifractal spectrum of the current in the two-dimensional random resistor network at the percolation threshold. We consider two ways of applying the voltage difference: (i) two parallel bars, and (ii) two points. Our…

Statistical Mechanics · Physics 2009-10-31 M. Barthelemy , S. V. Buldyrev , S. Havlin , H. E. Stanley

We investigate the behavior of two dimensional resistor networks, with finite sizes and different kinds (rectangular, hexagonal, and triangular) of lattice geometry. We construct the network by having a network-element repeat itself $L_x$…

Classical Physics · Physics 2020-12-30 Rajat Chandra Mishra , Himadri Barman

We explore the concepts of self-similarity, dimensionality, and (multi)scaling in a new family of recursive scale-free nets that yield themselves to exact analysis through renormalization techniques. All nets in this family are self-similar…

Statistical Mechanics · Physics 2009-11-11 Hernan D. Rozenfeld , Shlomo Havlin , Daniel ben-Avraham

This paper discusses the enumeration of two-terminal series-parallel networks, i.e. the number of electrical networks built with n identical elements connected in series or parallel with two-terminal nodes. They frequently occur in applied…

Statistical Mechanics · Physics 2008-02-03 O. Golinelli

We introduce a multi-species network model which describes the resistance fluctuations of a resistor in a non-equilibrium stationary state. More precisely, a thin resistor characterized by a 1/f^alpha resistance noise is described as a…

Materials Science · Physics 2007-05-23 C. Pennetta , E. Alfinito , L. Reggiani

This article is a mini-review about electrical current flows in networks from the perspective of statistical physics. We briefly discuss analytical methods to solve the conductance of an arbitrary resistor network. We then turn to basic…

Statistical Mechanics · Physics 2007-10-08 S. Redner

We extend Feynman's analysis of an infinite ladder circuit to fractal circuits, providing examples in which fractal circuits constructed with purely imaginary impedances can have characteristic impedances with positive real part. Using…

Except for Koshy who devotes seven pages to applications of Fibonacci Numbers to electric circuits, most books and the Fibonacci Quarterly have been relatively silent on applications of graphs and electric circuits to Fibonacci numbers.…

Combinatorics · Mathematics 2022-07-27 Emily J. Evans , Russell J. Hendel

The order of the set of equivalent resistances, A(n) of n equal resistors combined in series and in parallel has been traditionally addressed computationally, for n up to 22. For larger n there have been constraints of computer memory.…

General Physics · Physics 2014-03-26 Sameen Ahmed Khan

A new network model is proposed to describe the $1/f^\alpha$ resistance noise in disordered materials for a wide range of $\alpha$ values ($0< \alpha < 2$). More precisely, we have considered the resistance fluctuations of a thin resistor…

Materials Science · Physics 2009-11-13 C. Pennetta , E. Alfinito , L. Reggiani

Our first experience of dimension typically comes in the intuitive Euclidean sense: a line is one dimensional, a plane is two-dimensional, and a volume is three-dimensional. However, following the work of Mandelbrot \cite{mandelbrot},…

Physics Education · Physics 2022-09-05 Charles E. Creffield

In this paper we study self-similar and fractal networks from the combinatorial perspective. We establish analogues of topological (Lebesgue) and fractal (Hausdorff) dimensions for graphs and demonstrate that they are naturally related to…

Combinatorics · Mathematics 2019-12-25 Pavel Skums , Leonid Bunimovich

We consider a two-dimensional random resistor network (RRN) in the presence of two competing biased percolations consisting of the breaking and recovering of elementary resistors. These two processes are driven by the joint effects of an…

Condensed Matter · Physics 2009-11-07 C. Pennetta , L. Reggiani , Gy. Trefán , E. Alfinito

The elementary 2-terminal network consisting of a resistively ($R-$) shunted inductance ($L$) in series with a capacitatively ($C-$) shunted resistance ($R$) with $R = \sqrt{L/C}$, is known for its non-dispersive dissipative response,…

Disordered Systems and Neural Networks · Physics 2007-07-02 N. Kumar

Finding the equivalent resistance of an infinite ladder circuit is a classical problem in physics. We expand this well-known challenge to new classes of network topologies, in which the unit cells are much more entangled together. The exact…

Classical Physics · Physics 2021-05-12 Tung X. Tran , Linh K. Nguyen , Quan M. Nguyen , Chinh D. Tran , Truong H. Cai , Trung Phan

We consider a long but finite (ladder) circuit with alternating connections of resistors in series and parallel and derive an explicit expression for its equivalent resistance as a function of the number of repeating blocks, $R_{\rm…

General Physics · Physics 2015-07-30 Mikhail Kagan , Xinzhe Wang

We study infinite resistor networks perturbed by line defects, in which the resistances are periodically modified along a single line. Using the Sherman-Morrison identity applied to the reciprocal-space representation of the lattice Green's…

Disordered Systems and Neural Networks · Physics 2025-09-11 Róbert Németh , József Cserti , Gábor Széchenyi

The tight-binding model for a chain, where the hopping constants follow a Fibonacci sequence, predicts multifractality in the spectrum and wavefunctions. Experimentally, we realize this model by chains of small dielectric resonators with…

Disordered Systems and Neural Networks · Physics 2023-08-28 Mattis Reisner , Yanel Tahmi , Frédéric Piéchon , Ulrich Kuhl , Fabrice Mortessagne

We study the reliability of phase oscillator networks in response to fluctuating inputs. Reliability means that an input elicits essentially identical responses upon repeated presentations, regardless of the network's initial condition. In…

Chaotic Dynamics · Physics 2007-08-23 Kevin K. Lin , Eric Shea-Brown , Lai-Sang Young
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