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A large mass hierarchy from a small extra dimension

by Lisa Randall , 1999
"... We propose a new higher-dimensional mechanism for solving the hierarchy problem. The weak scale is generated from a large scale of order the Planck scale through an exponential hierarchy. However, this exponential arises not from gauge interactions but from the background metric (which is a slice of ..."
Abstract - Cited by 1077 (3 self) - Add to MetaCart
of AdS5 spacetime). This mechanism relies on the existence of only a single additional dimension. We demonstrate a simple explicit example of this mechanism with two three-branes, one of which contains the Standard Model fields. The experimental consequences of this scenario are new and dramatic

Usability Analysis of Visual Programming Environments: a `cognitive dimensions' framework

by T. R. G. Green, M. Petre - JOURNAL OF VISUAL LANGUAGES AND COMPUTING , 1996
"... The cognitive dimensions framework is a broad-brush evaluation technique for interactive devices and for non-interactive notations. It sets out a small vocabulary of terms designed to capture the cognitively-relevant aspects of structure, and shows how they can be traded off against each other. T ..."
Abstract - Cited by 514 (13 self) - Add to MetaCart
The cognitive dimensions framework is a broad-brush evaluation technique for interactive devices and for non-interactive notations. It sets out a small vocabulary of terms designed to capture the cognitively-relevant aspects of structure, and shows how they can be traded off against each other

Liaison of varieties of small dimension and

by Deficiency Modules , 2003
"... Liaison relates the cohomology of the ideal sheaf of a scheme to the cohomology of the canonical module of its link. We here refer to Gorenstein liaison in a projective space over a field: each ideal is the residual of the other in one Gorenstein homogeneous ideal of a polynomial ring. Assuming that ..."
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Liaison relates the cohomology of the ideal sheaf of a scheme to the cohomology of the canonical module of its link. We here refer to Gorenstein liaison in a projective space over a field: each ideal is the residual of the other in one Gorenstein homogeneous ideal of a polynomial ring. Assuming that

SURJECTIVE DERIVATIONS IN SMALL DIMENSIONS

by R. V. Gurjar K. Masuda
"... ar ..."
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LARGE SUBPOSETS WITH SMALL DIMENSION

by Benjamin Reiniger, Elyse Yeager
"... ar ..."
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Tomography of quantum states in small dimensions

by Markus Grassl, Universität Karlsruhe - Elec. Notes Discrete Math
"... We consider the problem of determining the state of a finite dimensional quantum system by a finite set of different measurements in an optimal way. The measurements can either be projective von Neumann measurements or generalized measurements (POVMs). While optimal solutions for projective measurem ..."
Abstract - Cited by 13 (1 self) - Add to MetaCart
measurements are only known for prime power dimensions, based on numerical solutions it is conjectured that solutions for POVMs exist in any dimension. We support this conjecture by constructing explicit algebraic solutions in small dimensions d, inparticulard = 12.

Panel Cointegration; Asymptotic and Finite Sample Properties of Pooled Time Series Tests, With an Application to the PPP Hypothesis; New Results. Working paper

by Peter Pedroni , 1997
"... We examine properties of residual-based tests for the null of no cointegration for dynamic panels in which both the short-run dynamics and the long-run slope coefficients are permitted to be heterogeneous across individual members of the panel+ The tests also allow for individual heterogeneous fixed ..."
Abstract - Cited by 529 (13 self) - Add to MetaCart
fixed effects and trend terms, and we consider both pooled within dimension tests and group mean between dimension tests+ We derive limiting distributions for these and show that they are normal and free of nuisance parameters+ We also provide Monte Carlo evidence to demonstrate their small sample size

Determining the Number of Factors in Approximate Factor Models

by Jushan Bai, Serena Ng , 2000
"... In this paper we develop some statistical theory for factor models of large dimensions. The focus is the determination of the number of factors, which is an unresolved issue in the rapidly growing literature on multifactor models. We propose a panel Cp criterion and show that the number of factors c ..."
Abstract - Cited by 561 (30 self) - Add to MetaCart
In this paper we develop some statistical theory for factor models of large dimensions. The focus is the determination of the number of factors, which is an unresolved issue in the rapidly growing literature on multifactor models. We propose a panel Cp criterion and show that the number of factors

A New Kind of Science

by Stephen Wolfram , 2002
"... “Somebody says, ‘You know, you people always say that space is continuous. How do you know when you get to a small enough dimension that there really are enough points in between, that it isn’t just a lot of dots separated by little distances? ’ Or they say, ‘You know those quantum mechanical amplit ..."
Abstract - Cited by 893 (0 self) - Add to MetaCart
“Somebody says, ‘You know, you people always say that space is continuous. How do you know when you get to a small enough dimension that there really are enough points in between, that it isn’t just a lot of dots separated by little distances? ’ Or they say, ‘You know those quantum mechanical

The geometry of graphs and some of its algorithmic applications

by Nathan Linial, Eran London, Yuri Rabinovich - COMBINATORICA , 1995
"... In this paper we explore some implications of viewing graphs as geometric objects. This approach offers a new perspective on a number of graph-theoretic and algorithmic problems. There are several ways to model graphs geometrically and our main concern here is with geometric representations that res ..."
Abstract - Cited by 524 (19 self) - Add to MetaCart
that respect the metric of the (possibly weighted) graph. Given a graph G we map its vertices to a normed space in an attempt to (i) Keep down the dimension of the host space and (ii) Guarantee a small distortion, i.e., make sure that distances between vertices in G closely match the dis-tances between
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