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In this article, we investigate the fractal dimension of the graph of the mixed Riemann-Liouville fractional integral for various choice of continuous functions on a rectangular region. We estimate bounds for the box dimension and the…

Classical Analysis and ODEs · Mathematics 2021-05-17 Subhash Chandra , Syed Abbas

After defining convex near-polygons, a formula enumerating the number of triangulations of such configurations is derived in terms of edge-polynomials. The paper describes also a transfer-matrix approach for computing quantities related to…

Combinatorics · Mathematics 2007-05-23 Roland Bacher

In this study, we explore the field of physics through the lens of fractional dimensionality. We propose that space is not confined to integer dimensions alone, but can also be understood as a superposition of spaces that exist between…

General Physics · Physics 2026-03-24 Ali Dorostkar

We compute the intrinsic Hausdorff dimension of spacetime at the infrared fixed point of the quantum conformal factor in 4D gravity. The fractal dimension is defined by the appropriate covariant diffusion equation in four dimensions and is…

High Energy Physics - Theory · Physics 2009-10-31 Ignatios Antoniadis , Pawel O. Mazur , Emil Mottola

Recent numerical results on the fractal structure of two-dimensional quantum gravity coupled to $c=-2$ matter are reviewed. Analytic derivation of the fractal dimensions based on the Liouville theory and diffusion equation is also…

High Energy Physics - Theory · Physics 2007-05-23 Noboru Kawamoto

Non-autonomous iterated function systems are a generalization of iterated function systems. If the contractions in the system are conformal mappings, it is called a non-autonomous conformal iterated function system, and its attractor is…

Dynamical Systems · Mathematics 2025-12-23 Junjie Miao , Tianrui Wang

This is a survey paper about the fractal percolation process, also known as Mandelbrot percolation. It is intended to give a general breadth overview of more recent research in the topic, but also includes some of the more classical…

Probability · Mathematics 2025-08-12 István Kolossváry , Sascha Troscheit

Many 0/1 datasets have a very large number of variables; on the other hand, they are sparse and the dependency structure of the variables is simpler than the number of variables would suggest. Defining the effective dimensionality of such a…

Machine Learning · Computer Science 2019-02-06 Nikolaj Tatti , Taneli Mielikainen , Aristides Gionis , Heikki Mannila

In this paper, the notion of dimension preserving approximation for real-valued bivariate continuous functions, defined on a rectangular domain $\rectangle$, has been introduced and several results, similar to well-known results of…

Classical Analysis and ODEs · Mathematics 2021-01-19 V. Agrawal , T. Som , S. Verma

The fractal structure of directed percolation clusters, grown at the percolation threshold inside parabolic-like systems, is studied in two dimensions via Monte Carlo simulations. With a free surface at y=\pm Cx^k and a dynamical exponent…

Statistical Mechanics · Physics 2009-10-22 C. Kaiser , L. Turban

Dimensional analysis provides many simple and useful tools for various situations in science. The objective of this paper is to investigate its relations to functions, i.e., the dimensions for functions that yield physical quantities and…

General Physics · Physics 2017-12-05 Shinji Tanimoto

Porosity and dimension are two useful, but different, concepts that quantify the size of fractal sets and measures. An active area of research concerns understanding the relationship between these two concepts. In this article we will…

Classical Analysis and ODEs · Mathematics 2013-03-19 Pablo Shmerkin

In this paper we have defined two functions that have been used to construct different fractals having fractal dimensions between 1 and 2. More precisely, we can say that one of our defined functions produce the fractals whose fractal…

Discrete Mathematics · Computer Science 2009-03-30 Pal Choudhury Pabitra , Sahoo Sudhakar , Nayak Birendra Kumar , Hassan Sk. Sarif

Geometrical pictures for the family structure of fundamental particles are developed. They indicate that there might be a relation between the family repetition structure and the number of space dimensions.

High Energy Physics - Phenomenology · Physics 2007-05-23 Bodo Lampe

Developing a robust generalization measure for the performance of machine learning models is an important and challenging task. A lot of recent research in the area focuses on the model decision boundary when predicting generalization. In…

Machine Learning · Computer Science 2020-12-24 Valeri Alexiev

This article was prepared in connection with the 2009 Barnett lecture at the University of Cincinnati, and deals with various classes of fractal sets and analysis on them.

Classical Analysis and ODEs · Mathematics 2010-08-17 Stephen Semmes

In this paper we study two random analogues of the box-like self-affine attractors introduced by Fraser, itself an extension of Sierpi\'nski carpets. We determine the almost sure box-counting dimension for the homogeneous random case…

Metric Geometry · Mathematics 2019-12-23 Sascha Troscheit

In this paper, we study the fractal dimension of the graph of a fractal transformation and also determine the quantization dimension of a probability measure supported on the graph of the fractal transformation. Moreover, we estimate the…

Dynamical Systems · Mathematics 2022-12-20 Manuj Verma , Amit Priyadarshi , Saurabh Verma

The geometry of the rotating disk is revisited and the quantum consequences are discussed. A suggestion to detect the presence of the Gaussian curvature on the rotating disk only measuring transition frequencies is made. A quantum…

General Physics · Physics 2015-05-20 Victor Atanasov , Rossen Dandoloff

We analyze the fractal dimension of melodic contours and pitch time series of classical music and folk music tunes. The fractal dimensions obtained from box counting and detrended fluctuation analysis show significant differences. They are…

Disordered Systems and Neural Networks · Physics 2022-04-20 Maria H. Niklasson , Gunnar A. Niklasson
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