Haut PDF A random matrix model for color superconductivity at zero chemical potential
A random matrix model for color superconductivity at zero chemical potential
... models for which the single quark propagator is Her- ...have a 4×4 Lorentz invariant block structure in the vacuum, and a color symmetric N c × N c block ...and color structure have ...
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Random matrix model for chiral symmetry breaking and color superconductivity in QCD at finite density
... in a four-dimensional field theory would respect color SU (N c ) and Lorentz invariance in the ...choose a single variance Σ Ca for all channels which transform equally under color and ...
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Random matrix models for chiral and diquark condensation
... baryon chemical potential FIG. 1: Sketch of the phase diagram for three flavor QCD with realistic quark ...The matrix elements are drawn on a random distribution, usually ...
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Random matrix models for phase diagrams
... favor superconductivity. For QCD, an interaction mediated by single-gluon exchange has a ratio B/A = ...the model of section 2, a superconducting phase (SC) is found at ...
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Random matrix model for antiferromagnetism and superconductivity on a two-dimensional lattice
... show a strong tendency to a homogeneous coexistence phase at weak coupling and a first-order phase transition at strong ...arising at mean-field level between the random ...
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Stochastic acceleration in a random time-dependent potential
... with a smooth ...events for a high energy particle that was given in [ADBLP10] and ...yields a sufficiently sharp description of the transition probabilities of the Markov chain at high ...
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Two-Dimensional Superconductivity at Titanium Oxide Interfaces.
... calcul donnerait une solution stable pour un niveau de Fermi exactement au maximum de la bande de conduction, celui-ci étant situé à l’infini (L dans le cas présent). Il s’en suit qu’il est impossible d’obtenir une ...
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A Random Matrix Analysis of Learning with α-Dropout
... is zero imputation, by which the missing features are simply replaced by ...on zero-imputed data ( Hazan et ...networks, zero imputation can be seen as applying a Dropout ( Srivastava et ...
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Random Vector and Matrix Theories: A Renormalization Group Approach
... Hermitian matrix propagator. Hermitian matrix three-point ...one-matrix model and random surfaces The matrix model representation of two-dimensional quantum gravity [7] ...
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Crystallization of random matrix orbits
... − a ibσ(i)) (6) The proof of Theorem ...→k(a), a ⊞β b , a ⊠β b do not depend on β. A similar observation was recently used in [B2] in the context of the Macdonald measures (following an ...
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Random Matrix Improved Subspace Clustering
... challenging for two essential reasons: (i) studying generically the eigenvectors of a data-driven adjacency (or similarity) matrix is intractable, and (ii) even if made possible, the non-linear ...
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Random matrix-improved estimation of covariance matrix distances
... C), for p > n. While a consistent so-called G-estimator [ 13 ] does exist for all p < n, this is not the case when p > ...singularity for ln(1 + sz) is located at z = −1/s < ...
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A neural field model for color perception unifying assimilation and contrast
... Our model is not an image processing model Our model should not be considered as an image processing ...involves a psychophysically and physiologically relevant neural structure, while image ...
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Spin zero particle propagator from a random walk in 3-D space
... particle, at each change of its direction, we supposed that its scattering mimics resonance S-wave scattering with an amplitude f = −1 and a π/2 phase ...place at very small distances, so that higher ...
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A model for evaluating continental chemical weathering from riverine transports of dissolved major elements at a global scale
... redox potential, which are com- monly measured in the ...context; a relevant number of variables are tied up with this process (including denudation rate, rock age, ...responsible for the variability ...
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On the Grenander Estimator at Zero
... Groeneboom, P. (1985). Estimating a monotone density. In Proceedings of the Berkeley confer- ence in honor of Jerzy Neyman and Jack Kiefer, Vol. II. Wadsworth, Belmont, CA. Jacod, J. and Shiryaev, A. N. ...
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The number of potential winners in Bradley-Terry model in random environment
... consider a Bradley-Terry model in random environment where each player faces each other ...be random and we study the influence of their distribu- tions on the asymptotic number of ...
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Parabolic Anderson model in a dynamic random environment: random conductances
... where, for a fixed realisation of K, Supp(K) is the set of values taken by the ...that for the associated quenched Lyapunov exponent λ 0 (K) this formula only provides a lower bound, and we ...
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Beyond universality in random matrix theory
... took a number of cases when n = 20, 40 and sometimes n = ...2,000,000 random samples on each of 60 processors using Julia [8], for a total of 120,000,000 samples of each exper- ...on a ...
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Performance of random sampling for computing low-rank approximations of a dense matrix on GPUs
... ABSTRACT A low-rank approximation of a dense matrix plays an im- portant role in many ...proximation, a common approach uses the QR factorization with column pivoting ...communication ...
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