10,052 research outputs found

    Flavours and Infra-red Instability in Holography

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    Within a phenomenological holographic model in (4+1)(4+1)-bulk dimensions, defined by Einstein-gravity with a negative cosmological constant, coupled to a Dirac-Born-Infeld and a Chern-Simons term, we explore the fate of BF-bound violation for a probe scalar field and a fluctuation mode of the corresponding geometry. We assume this simple model to capture the dynamics of a strongly coupled SU(Nc)(N_c) gauge theory with NfN_f fundamental matter, which in the limit O(Nc)∼O(Nf){\cal O} \left( N_c \right) \sim {\cal O}\left(N_f\right) and with a non-vanishing matter density, is holographically described by an AdS2_2-geometry in the IR. We demonstrate that, superconductor/superfluid instabilities are facilitated and spontaneous breaking of translational invariance is inhibited with increasing values of (Nf/Nc)\left(N_f / N_c \right) . This is similar, in spirit, with known results in large NcN_c Quantum Chromodynamics with NfN_f quarks and a non-vanishing density, in which the chiral density wave phase becomes suppressed and superconducting instabilities become favoured as the number of quarks is increased.Comment: 24 pages, 2 figure

    Is it "natural" to expect Economics to become a part of the Natural Sciences?

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    We are in the middle of a complex debate as to whether Economics is really a proper natural science. The 'Discussion & Debate' issue of this Euro. Phys. J. Special Topic volume is: 'Can economics be a Physical Science?' I discuss some aspects here.Comment: 7 pages; EPJ-ST special issue on 'Can Economics be a Physical Science?' Edited by S. Sinha, A. S. Chakrabarti & M. Mitr

    A Simple Test for the Absence of Covariate Dependence in Hazard Regression Models

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    A Simple Test for the Absence of Covariate Dependence in Hazard Regression Models

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    This paper extends commonly used tests for equality of hazard rates in a two-sample or k-sample setup to a situation where the covariate under study is continuous. In other words, we test the hypothesis that the conditional hazard rate is the same for all covariate values, against the omnibus alternative as well as more specific alternatives, when the covariate is continuous. The tests developed are particularly useful for detecting trend in the underlying conditional hazard rates or changepoint trend alternatives. Asymptotic distribution of the test statistics are established and small sample properties of the tests are studied. An application to the e¤ect of aggregate Q on corporate failure in the UK shows evidence of trend in the covariate e¤ect, whereas a Cox regression model failed to detect evidence of any covariate effect. Finally, we discuss an important extension to testing for proportionality of hazards in the presence of individual level frailty with arbitrary distribution
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