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19922026
most citedObservation of a new particle in the search for the Standard Model Higgs boson with the ATLAS detector at the LHC

10.9k citations

Showing 2009 · math-phShow all

7 papers · 2 filters

math-ph2009★ 12 cited

On E-Discretization of Tori of Compact Simple Lie Groups

Jiří Hrivnák, Jiří Patera

Three types of numerical data are provided for compact simple Lie groups of classical types and of any rank. This data is indispensable for Fourier-like expansions of multidime…

math-ph2009★ 10 cited

Two dimensional symmetric and antisymmetric generalizations of sine functions

Jiří Hrivnák, Lenka Motlochová, Jiří Patera

Properties of 2-dimensional generalizations of sine functions that are symmetric or antisymmetric with respect to permutation of their two variables are described. It is shown that…

math-ph2009★ 12 cited

Two-dimensional symmetric and antisymmetric generalizations of exponential and cosine functions

Jiří Hrivnák, Jiří Patera

Properties of the four families of recently introduced special functions of two real variables, denoted here by , and , are studied. The superscripts and …

math-ph2009★ 28 cited

Can solvable extensions of a nilpotent subalgebra be useful in the classification of solvable algebras with the given nilradical?

Libor Snobl, Dalibor Karasek

We construct all solvable Lie algebras with a specific n-dimensional nilradical n_{n,3} which contains the previously studied filiform nilpotent algebra n_{n-2,1} as a subalgebra b…

math-ph2009★ 9 cited

Twisted cocycles of Lie algebras and corresponding invariant functions

Jiri Hrivnak, Petr Novotny

We consider finite-dimensional complex Lie algebras. Using certain complex parameters we generalize the concept of cohomology cocycles of Lie algebras. A special case is generaliza…

math-ph2009

On Discretization of Tori of Compact Simple Lie Groups

Jiri Hrivnak, Jiri Patera

Three types of numerical data are provided for simple Lie groups of any type and rank. This data is indispensable for Fourier-like expansions of multidimensional digital data into…