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A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

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41 results for Sierpiński gasket

The paper examines properties of self-affine Sierpiński sponges using metric invariants.

problem Investigating properties of self-affine Sierpiński sponges using metric invariants.
method Examined through maximal power law property and perfectly disconnectedness.
result Characterized self-affine Sierpiński sponges by their metric properties.

We show that every inner metric space X is the metric quotient of a complete R-tree via a free isometric action, which we call the covering R-tree of X. The quotient mapping is a weak submetry (hence, open) and light. In the case of compact 1-dimensional geodesic space X, the free isometric action is via a subgroup of …

2007-07-24abs ↗pdf ↗

It is shown that if MM is a strongly causal free of naked singularities space-time, then its causal structure is completely characterized by a partial order in the space of skies defined by means of a class non-negative Legendrian isotopies. It is also proved that such partial order is determined by the class of futur…

2014-11-06abs ↗pdf ↗

The paper extends Hodge-de Rham theory to higher-dimensional Sierpinski gaskets.

problem Analyzing differential forms and Laplacians on higher-dimensional fractal structures.
method Constructing sequences of graphs approximating Sierpinski gaskets, defining k-forms, de Rham derivatives, and their duals, proving harmonic properties, and exploring 2-forms.
result Obtained a basis for the space of harmonic 1-forms on level-3 Sierpinski gasket.

The paper studies the dimension of limit sets using variational principles and stationary measures.

problem Calculating the Hausdorff dimension of limit sets of Anosov representations and the Rauzy gasket.
method Established variational principles for affinity exponents and Rauzy gaskets, combined with dimension formulas of stationary measures.
result Yields the equality between the Hausdorff dimensions and affinity exponents in both settings.

This paper analyzes error in SKI for Gaussian Processes, providing conditions for linear time inference.

problem Lack of rigorous theoretical error analysis for SKI.
method Proved error bounds for SKI Gram matrix, examined error effects, provided practical guidelines.
result Identified two dimensionality regimes for SKI's scalability-accuracy trade-offs.

Efficiently maps indoor magnetic fields with SKI and D-SKI.

problem Computing large-scale magnetic field maps in indoor environments.
method Structured kernel interpolation (SKI) with derivatives (D-SKI) for Gaussian process regression.
result Achieves better accuracy and faster computation than state-of-the-art methods.

SoftKI combines SKI and variational methods for scalable GP regression.

problem Scalable Gaussian Process regression on high-dimensional datasets.
method SoftKI approximates kernel via softmax interpolation from a smaller number of learned points.
result SoftKI is competitive with other approximated GP methods for modest data dimensions.

Recent work shows that inference for Gaussian processes can be performed efficiently using iterative methods that rely only on matrix-vector multiplications (MVMs). Structured Kernel Interpolation (SKI) exploits these techniques by deriving approximate kernels with very fast MVMs. Unfortunately, such strategies suffer …

2018-02-24abs ↗pdf ↗

The paper studies limit sets on P(R3)\mathbb{P}(\mathbb{R}^3) using stationary measures.

problem Investigating the Hausdorff dimension of limit sets on P(R3)\mathbb{P}(\mathbb{R}^3) for SL3(R)\mathrm{SL}_3(\mathbb{R}).
method Using stationary measures to generalize the Patterson-Sullivan formula and establish dimension formulas.
result Sharp lower bounds and Hausdorff dimensions for Anosov representations and the Rauzy gasket.

The paper proposes calibration to improve algorithm performance using machine learning predictions.

problem Improving real-world performance of online algorithms with machine learning predictions.
method Calibration as a tool to bridge the gap between prediction uncertainty and algorithm design.
result Calibrated advice leads to more effective guidance in high-variance settings and significant performance improvements in real-world data.

SKI speeds up Toeplitz Neural Networks by avoiding explicit decay bias and using frequency response.

problem Efficiently compute and update Toeplitz matrices in neural networks.
method Sparse plus low-rank decomposition, asymmetric SKI, frequency response modeling.
result Achieved significant speedup with minimal performance loss.

Kernel-based machine learning approaches are gaining increasing interest for exploring and modeling large dataset in recent years. Gaussian process (GP) is one example of such kernel-based approaches, which can provide very good performance for nonlinear modeling problems. In this work, we first propose a grey-box mode…

2019-07-05abs ↗pdf ↗

J. Kigami has laid the foundations of what is now known as analysis on fractals, by allowing the construction of an operator of the same nature of the Laplacian, defined locally, on graphs having a fractal character. The Sierpinski gasket stands out of the best known example. It has, since then, been taken up, develope…

2017-04-14abs ↗pdf ↗

We consider (locally) energy finite coordinates associated with a strongly local regular Dirichlet form on a metric measure space. We give coordinate formulas for substitutes of tangent spaces, for gradient and divergence operators and for the infinitesimal generator. As examples we discuss Euclidean spaces, Riemannian…

2015-01-19abs ↗pdf ↗

A brief historical perspective is first given concerning financial crashes, - from the 17th till the 20th century. In modern times, it seems that log periodic oscillations are found before crashes in several financial indices. The same is found in sand pile avalanches on Sierpinski gaskets. A discussion pertains to the…

2001-04-07abs ↗pdf ↗

In this paper, we introduce the notion of asymptotic self-similar sets on general doubling metric spaces by extending the notion of self-similar sets, and determine their Hausdorff dimensions, which gives an extension of Balogh and Rohner 's result. This is carried out by introducing the notions of almost similarity ma…

2017-10-02abs ↗pdf ↗

The set N of all null geodesics of a globally hyperbolic (d+1)-dimensional spacetime (M,g) is naturally a smooth (2d-1)-dimensional contact manifold. The sky of an event is the subset of N defined by all null geodesics through that event, and is an embedded Legendrian submanifold of N diffeomorphic to a (d-1)-dimension…

2002-10-11abs ↗pdf ↗

New subharmonicity concept proves conjecture on Riemannian manifolds.

problem Proving positivity of solutions to a specific PDE on Riemannian manifolds.
method Introducing local λλ-shift defectivity and studying it on locally smoothing spaces.
result Proof of Braverman, Milatovic, Shubin conjecture on positivity of solutions.

We define a conformal reference frame, i.e., a special projection of the six-dimensional sky bundle of a Lorentzian manifold (or the five-dimensional twistor space) to a three-dimensional manifold. We construct an example, a conformal compactification, for Minkowski space. Based on the complex structure on the skies, w…

2016-05-23abs ↗pdf ↗

Survey explores interactions between four conformal dynamics branches.

problem Understanding complex dynamics through different mathematical concepts.
method Examples and general results with technical tools.
result Dynamical relations between Schwarz reflection parameter spaces and anti-rational maps/ reflection groups.

Let SS be a compact, orientable surface of hyperbolic type. Let (k+,k)(k_+,k_-) be a pair of negative numbers and let (g+,g)(g_+, g_-) be a pair of marked metrics over SS of constant curvature equal to k+k_+ and kk_- respectively. Using a functional introduced by Bonsante, Mondello \& Schlenker, we show that there exists a …

2018-08-15abs ↗pdf ↗

Researchers compute contact structures for null geodesics on specific spacetimes.

problem Understanding the canonical contact structure of null geodesics in spacetimes.
method Explicit calculations for specific spacetimes, including lens spaces and three-dimensional spacetimes.
result Contact structures on null geodesics are derived from the Lorentz prolongation of spacetimes.

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 dd-parameter family of such semigroups satisfies the transversality condition, then for almost every par…

2011-09-12abs ↗pdf ↗

The linking number lklk is defined if link components are zero homologous. Our affine linking invariant alkalk generalizes lklk to the case of linked submanifolds with arbitrary homology classes. We apply alkalk to the study of causality in Lorentz manifolds. Let MmM^m be a spacelike Cauchy surface in a globally hyperbol…

2006-11-05abs ↗pdf ↗