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It is commonly known that in Riemannian and sub-Riemannian Geometry, the metric tensor on a manifold defines a distance function. In Lorentzian Geometry, instead of a distance function it provides causal relations and the Lorentzian…

Differential Geometry · Mathematics 2013-01-07 Irina Markina , Stephan Wojtowytsch

We present a novel derivation of special relativity based on the information physics of events comprising a causal set. We postulate that events are fundamental, and that some events have the potential to receive information about other…

Mathematical Physics · Physics 2010-08-31 Kevin H. Knuth , Newshaw Bahrenyi

We describe numerical and analytical investigations of causal sets sprinkled into spacetime manifolds. The first part of the paper is a numerical study of finite causal sets sprinkled into Alexandrov subsets of Minkowski spacetime of…

General Relativity and Quantum Cosmology · Physics 2021-05-05 Christopher J. Fewster , Eli Hawkins , Christoph Minz , Kasia Rejzner

There are several indications (from different approaches) that Spacetime at the Plank Scale could be discrete. One approach to Quantum Gravity that takes this most seriously is the Causal Sets Approach. In this approach spacetime is…

General Relativity and Quantum Cosmology · Physics 2009-11-05 David Rideout , Petros Wallden

Linear topological spaces with partial ordering (linear kinematics) are studied. They are defined by a set of 8 axioms implying that topology, linear structure and ordering are compatible with each other. Most of the results are valid for…

General Relativity and Quantum Cosmology · Physics 2007-05-23 Victor Revoltovich Krym

A complete family of statistical descriptors for the morphology of large--scale structure based on Minkowski--Functionals is presented. These robust and significant measures can be used to characterize the local and global morphology of…

Astrophysics · Physics 2007-05-23 T. Buchert

We propose a novel method for the description of spatial patterns formed by a coverage of point sets representing galaxy samples. This method is based on a complete family of morphological measures known as Minkowski functionals, which…

Astrophysics · Physics 2007-05-23 K. R. Mecke , T. Buchert , H. Wagner

We present two results which concern certain aspects of the question: when is a causal set well approximated by a Lorentzian manifold? The first result is a theorem which shows that the number-volume correspondence, if required to hold even…

High Energy Physics - Theory · Physics 2015-06-19 Mehdi Saravani , Siavash Aslanbeigi

Causal set theory is perhaps the most minimalistic approach to quantum gravity, in the sense that it makes next to zero assumptions about the structure of spacetime below the Planck scale. Yet even with this minimalism, the continuum limit…

General Relativity and Quantum Cosmology · Physics 2024-05-31 Marian Boguna , Dmitri Krioukov

Motivated by the Hawking-King-McCarthy-Malament (HKMM) theorem and the associated reconstruction of spacetime geometry from its causal structure $(M,\prec)$ and local volume element $\epsilon$, we define a one-parameter family of spatial…

General Relativity and Quantum Cosmology · Physics 2019-05-22 Astrid Eichhorn , Sumati Surya , Fleur Versteegen

The group of causal automorphisms on Minkowski space-time is given and its structure is analyzed.

Mathematical Physics · Physics 2015-05-18 Do-Hyung Kim

We show how the Minkowskian space-time emerges from a topologically homogeneous causal network, presenting a simple analytical derivation of the Lorentz transformations, with metric as pure event-counting. The derivation holds generally for…

General Relativity and Quantum Cosmology · Physics 2010-09-27 Giacomo Mauro D'Ariano , Alessandro Tosini

A mechanical linkage is a mechanism made of rigid rods linked together by flexible joints, in which some vertices are fixed and others may move. The partial configuration space of a linkage is the set of all the possible positions of a…

Metric Geometry · Mathematics 2016-05-23 Mickaël Kourganoff

We study the emergence of Minkowski space-time from a causal network. Differently from previous approaches, we require the network to be topologically homogeneous, so that the metric is derived from pure event-counting. Emergence from…

General Relativity and Quantum Cosmology · Physics 2016-01-26 Giacomo Mauro D'Ariano , Alessandro Tosini

We study point processes that consist of certain centers of point tuples of an underlying Poisson process. Such processes arise in stochastic geometry in the study of exceedances of various functionals describing geometric properties of the…

Probability · Mathematics 2022-12-26 Moritz Otto

We investigate the causal relations in the space of states of almost commutative Lorentzian geometries. We fully describe the causal structure of a simple model based on the algebra $\mathcal{S}(\mathbb{R}^{1,1}) \otimes M_2(\mathbb{C})$,…

Mathematical Physics · Physics 2014-01-29 Nicolas Franco , Michał Eckstein

The traditional Minkowski distances are induced by the corresponding Minkowski norms in real-valued vector spaces. In this work, we propose novel statistical symmetric distances based on the Minkowski's inequality for probability densities…

Probability · Mathematics 2019-01-18 Frank Nielsen

The first goal of this paper is to show that discreteness, locality, and relativistic covariance can peacefully coexist if the ordinary spacetime (OST) is replaced with phase spacetime (PST) as a geometric background of a Poisson process,…

General Relativity and Quantum Cosmology · Physics 2010-05-03 Roman Sverdlov

According to the Weinstein splitting theorem, any Poisson manifold is locally, near any given point, a product of a symplectic manifold with another Poisson manifold whose Poisson structure vanishes at the point. Similar splitting results…

Differential Geometry · Mathematics 2020-01-29 Henrique Bursztyn , Hudson Lima , Eckhard Meinrenken

Causality plays an important role in understanding intelligent behavior, and there is a wealth of literature on mathematical models for causality, most of which is focused on causal graphs. Causal graphs are a powerful tool for a wide range…

Artificial Intelligence · Computer Science 2024-12-23 Scott Garrabrant , Matthias Georg Mayer , Magdalena Wache , Leon Lang , Sam Eisenstat , Holger Dell