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We study both global as well as local (Nielsen-Olesen) strings in de Sitter space. While these type of topological defects have been studied in the background of a de Sitter metric previously, we study here the full set of coupled…

High Energy Physics - Theory · Physics 2009-11-10 Eugenio R. Bezerra de Mello , Yves Brihaye , Betti Hartmann

We calculate couplings of arbitrary order from correlation functions among twisted strings, using conformal field theory. Twisted strings arise in heterotic string compactified on orbifolds yielding matter fields in the low energy limit. We…

High Energy Physics - Theory · Physics 2008-11-26 Kang-Sin Choi , Tatsuo Kobayashi

In this paper, we explore how geometric structures can be grown exponentially fast. The studied processes start from an initial shape and apply a sequence of centralized growth operations to grow other shapes. We focus on the case where the…

Data Structures and Algorithms · Computer Science 2024-02-12 Nada Almalki , Siddharth Gupta , Othon Michail

When a symmetry gets spontaneously broken in a phase transition, topological defects are typically formed. The theoretical picture of how this happens in a breakdown of a global symmetry, the Kibble-Zurek mechanism, is well established and…

High Energy Physics - Phenomenology · Physics 2009-11-07 A. Rajantie

We study conformal defects in two important examples of string theory orbifolds. First, we show that topological defects in the language of Landau-Ginzburg models carry information about the RG flow between the non-compact orbifolds…

High Energy Physics - Theory · Physics 2017-06-20 Yaniel Cabrera

We demonstrate that field theories involving explicit breaking of continous symmetries, incorporate two generic classes of topological defects each of which is stable for a particular range of parameters. The first class includes defects of…

High Energy Physics - Phenomenology · Physics 2016-09-06 Minos Axenides , Leandros Perivolaropoulos

The main substance of the paper concerns the growth rate and the classification (ergodicity, transience) of a family of random trees. In the basic model, new edges appear according to a Poisson process of parameter $\lambda$ and leaves can…

Probability · Mathematics 2012-07-17 Guy Fayolle , Maxim Krikun , Jean-Marc Lasgouttes

This monograph resolves - in a dense class of cases - several open problems concerning geodesics in i.i.d. first-passage percolation on $\mathbb{Z}^d$. Our primary interest is in the empirical measures of edge-weights observed along…

Probability · Mathematics 2021-10-04 Erik Bates

We introduce a guided network growth model, which we call the degree product rule process, that uses solely local information when adding new edges. For small numbers of candidate edges our process gives rise to a second order phase…

Statistical Mechanics · Physics 2018-02-07 Alexander J. Trevelyan , Georgios Tsekenis , Eric I. Corwin

The assumptions in the Lund model suffice to prescribe a unique stochastic process for the fragmentation of a string into a set of hadrons, so long as the string is "flat", ie as long as the state described by the string consists only of a…

High Energy Physics - Phenomenology · Physics 2007-05-23 B. Andersson , F. Soderberg , S. Mohanty

We argue, based on general principles, that topological order is essential to realize fractionalization in gapped insulating phases in dimensions $d \geq 2$. In $d=2$ with genus $g$, we derive the existence of the minimum topological…

Strongly Correlated Electrons · Physics 2007-05-23 Masaki Oshikawa , T. Senthil

We probe D1D5 micro-state geometries with massless particles, waves and strings. To this end, we study geodetic motion, Klein-Gordon equation and string scattering in the resulting gravitational background. Due to the reduced rotational…

High Energy Physics - Theory · Physics 2018-08-01 M. Bianchi , D. Consoli , J. F. Morales

Slowly divergent geodesics in the moduli space of Riemann surfaces of genus at least 2 are constructed via cyclic branched covers of the torus. Nonergodic examples (i.e. geodesics whose defining quadratic differential has nonergodic…

Dynamical Systems · Mathematics 2007-05-23 Y. Cheung

In this paper the $c=1$ string theory is studied from the point of view of topological field theories. Calculations are done for arbitrary genus. A change in the prescription is proposed, which reproduces the results of the $1/x^2$ deformed…

High Energy Physics - Theory · Physics 2009-10-28 Ulf H. Danielsson

We investigate the construction of early stopping rules in the nonparametric regression problem where iterative learning algorithms are used and the optimal iteration number is unknown. More precisely, we study the discrepancy principle, as…

Statistics Theory · Mathematics 2020-04-21 Alain Celisse , Martin Wahl

We propose a class of field theories featuring solitonic solutions in which topological defects can end when they intersect other defects of equal or higher dimensionality. Such configurations may be termed ``Dirichlet topological…

High Energy Physics - Theory · Physics 2009-10-30 Sean M. Carroll , Mark Trodden

Stability and error estimate for the Oseen equations in a projection based variational setup has been derived in this paper. The use of Geometric Conservation Law (GCL) provides unconditional stability whereas without using GCL we have a…

Analysis of PDEs · Mathematics 2019-05-28 Birupaksha Pal , Sashikumaar Ganesan

We briefly review the equations of motion and the space-time interval due to the nonlinear cosmic string that have been derived in ref. [3] for the first time. The different types of isotropic and nonisotropic geodesic lines in the…

General Physics · Physics 2007-05-23 L. M. Chechin , T. B. Omarov

There are no known efficient algorithms to calculate distance in the one-skeleta of associahedra, a problem that is equivalent to finding rotation distance between rooted binary trees or the flip distance between polygonal triangulations.…

Combinatorics · Mathematics 2020-09-29 Sean Cleary , Roland Maio

In this paper, we theoretically prove that gradient descent can find a global minimum of non-convex optimization of all layers for nonlinear deep neural networks of sizes commonly encountered in practice. The theory developed in this paper…

Machine Learning · Statistics 2020-06-18 Kenji Kawaguchi , Jiaoyang Huang