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Related papers: Strong mixing property for STIT tessellations

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An analogue of the classical Mecke formula for Poisson point processes is proved for the class of space-time STIT tessellation processes. From this key identity the Markov property of a class of associated random processes is derived. This…

Probability · Mathematics 2017-11-06 Werner Nagel , Linh Ngoc Nguyen , Christoph Thaele , Viola Weiss

The STIT tessellation process was introduced and examined by Mecke, Nagel and Wei{\ss}; many of its main characteristics are contained in a paper published by Nagel and Wei{\ss} in 2005. In a paper published in 2010, Mecke introduced…

Probability · Mathematics 2011-06-02 Eike Biehler

For different classes of measure preserving transformations, we investigate collections of sets that exhibit the property of lightly mixing. Lightly mixing is a stronger property than topological mixing, and requires that a lim inf is…

Dynamical Systems · Mathematics 2016-04-06 Terrence M. Adams

With any max-stable random process $\eta$ on $\mathcal{X}=\mathbb{Z}^d$ or $\mathbb{R}^d$, we associate a random tessellation of the parameter space $\mathcal{X}$. The construction relies on the Poisson point process representation of the…

Probability · Mathematics 2016-01-07 Clément Dombry , Z. Kabluchko

The stable under iterated tessellation (STIT) process is a stochastic process that produces a recursive partition of space with cut directions drawn independently from a distribution over the sphere. The case of random axis-aligned cuts is…

Machine Learning · Statistics 2021-09-15 Eliza O'Reilly , Ngoc Tran

We establish strong Feller property and irreducibility for the transition semigroup associated to a class of nonlinear stochastic partial differential equations with multiplicative degenerate noise. As a by-product, we prove uniqueness of…

Probability · Mathematics 2026-04-01 Luca Scarpa , Margherita Zanella

We use a combination of original light scattering techniques and particles with unique optical properties to investigate the behavior of suspensions of attractive colloids under gravitational stress, following over time the concentration…

Soft Condensed Matter · Physics 2015-05-27 Giovanni Brambilla , Stefano Buzzaccaro , R. Piazza , Ludovic Berthier , Luca Cipelletti

We investigate the stability properties of discrete and hybrid stochastic nonlinear dynamical systems. More precisely, we extend the stochastic contraction theorems (which were formulated for continuous systems) to the case of discrete and…

Optimization and Control · Mathematics 2008-04-08 Quang-Cuong Pham

We study several constructions of the STIT tessellation process in a window of $\RR^\ell$ and supply an exact formula for its transition probability.

Probability · Mathematics 2014-11-14 Servet Martínez , Werner Nagel

In this paper planar STIT tesselations with weighted axis-parallel cutting directions are considered. They are known also as weighted planar Mondrian tesselations in the machine learning literature, where they are used in random forest…

Probability · Mathematics 2022-04-29 Carina Betken , Tom Kaufmann , Kathrin Meier , Christoph Thäle

We consider an extension of the zero-range process to the case where the hop rate depends on the state of both departure and arrival sites. We recover the misanthrope and the target process as special cases for which the probability of the…

Statistical Mechanics · Physics 2014-03-05 M. R. Evans , B. Waclaw

This paper studies the stability of synchronized states in networks where couplings between nodes are characterized by some distributed time delay, and develops a generalized master stability function approach. Using a generic example of…

Chaotic Dynamics · Physics 2014-10-28 Y. N. Kyrychko , K. B. Blyuss , E. Schoell

The steady state packing fraction of a tapped granular bed is studied for different grain shapes via a discrete element method. Grains are monosized regular polygons, from triangles to icosagons. Comparisons with disk packings show that the…

Soft Condensed Matter · Physics 2011-01-12 Carlos M. Carlevaro , Luis A. Pugnaloni

Many metastable complex fluids such as colloidal glasses and gels show distinct nonlinear viscoelasticity with increasing oscillatory-strain amplitude; the storage modulus decreases monotonically as the strain amplitude increases whereas…

Soft Condensed Matter · Physics 2009-11-11 Kunimasa Miyazaki , Hans M. Wyss , D. A. Weitz , David R. Reichman

The mixing efficiency of a flow advecting a passive scalar sustained by steady sources and sinks is naturally defined in terms of the suppression of bulk scalar variance in the presence of stirring, relative to the variance in the absence…

Fluid Dynamics · Physics 2011-05-03 Tiffany A. Shaw , Jean-Luc Thiffeault , Charles R. Doering

We solve a conjecture on multiple nondegenerate steady states, and prove bistability for sequestration networks. More specifically, we prove that for any odd number of species, and for any production factor, the fully open extension of a…

Dynamical Systems · Mathematics 2019-06-04 Xiaoxian Tang , Jie Wang

A detailed understanding of material structure across multiple scales is essential for predictive modeling of textile-reinforced composites. Nesting -- characterized by the interlocking of adjacent fabric layers through local…

Computer Vision and Pattern Recognition · Computer Science 2025-10-22 Christian Düreth , Jan Condé-Wolter , Marek Danczak , Karsten Tittmann , Jörn Jaschinski , Andreas Hornig , Maik Gude

Dense, stabilized, frictional particulate suspensions in a viscous liquid undergo increasingly strong continuous shear thickening (CST) as the solid packing fraction, $\phi$, increases above a critical volume fraction, and discontinuous…

Soft Condensed Matter · Physics 2020-04-01 Marcio Gameiro , Abhinendra Singh , Lou Kondic , Konstantin Mischaikow , Jeffrey F. Morris

Let X be a smooth projective variety over C. We find the natural notion of semistable orthogonal bundle and construct the moduli space, which we compactify by considering also orthogonal sheaves, i.e. pairs (E,\phi), where E is a torsion…

Algebraic Geometry · Mathematics 2007-05-23 Tomas L. Gomez , Ignacio Sols

Linear recurrent models offer linear-time sequence processing but often suffer from suboptimal long-range memory. We trace this to the decay spectrum: for $N$ channels, random initialization collapses the minimum spectral gap to…

Machine Learning · Computer Science 2026-04-10 Yang Cao