A sharper threshold for random groups at density one-half
نویسندگان
چکیده
منابع مشابه
Cubulating Random Groups at Density Less than 1/6
We prove that random groups at density less than 1 6 act freely and cocompactly on CAT(0) cube complexes, and that random groups at density less than 1 5 have codimension-1 subgroups. In particular, Property (T ) fails to hold at density less than 1 5 . Abstract. Nous prouvons que les groupes aléatoires en densité strictement inférieure à 1 6 agissent librement et cocompactement sur un complexe...
متن کاملHalf-Skyrmion Hadronic Matter at High Density
The hadronic matter described as a skyrmion matter embedded in an FCC crystal is found to turn into a half-skyrmion matter with vanishing (in the chiral limit) quark condensate and non-vanishing pion decay constant at a density n1/2S lower than or at the critical density n c at which hadronic matter changes over to a chiral symmetry restored phase with deconfined quarks. When hidden local gauge...
متن کاملSumming one-loop graphs at multiparticle threshold.
It is shown that the technique recently suggested by Lowell Brown for summing the tree graphs at threshold can be extended to calculate the loop effects. Explicit result is derived for the sum of one-loop graphs for the amplitude of threshold production of n on-mass-shell particles by one virtual in the unbroken λφ 4 theory. It is also found that the tree-level amplitude of production of n part...
متن کاملMononostril versus binostril versus one and a half Nostril Endoscopic Trans sphenoidal approach for pituitary adenoma
Background and Aim: Over the past 2 decades, endoscopy has become an integral part of the surgical repertoire for pituitary procedures and over the past several decades, the endoscopic endonasal trans sphenoidal approach (EETA) has gradually become an accepted option for pituitary tumors with intra-,supra-,and para-sellar location and extension, because of its minimal invasiveness and high effi...
متن کاملLinear Wavelet-Based Estimation for Derivative of a Density under Random Censorship
In this paper we consider estimation of the derivative of a density based on wavelets methods using randomly right censored data. We extend the results regarding the asymptotic convergence rates due to Prakasa Rao (1996) and Chaubey et al. (2008) under random censorship model. Our treatment is facilitated by results of Stute (1995) and Li (2003) that enable us in demonstrating that the same con...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Groups, Geometry, and Dynamics
سال: 2016
ISSN: 1661-7207
DOI: 10.4171/ggd/374