Quantum Criticality of one-dimensional multicomponent Fermi Gas with Strongly Attractive Interaction

Quantum criticality of strongly attractive Fermi gas with $SU(3)$ symmetry in one dimension is studied via the thermodynamic Bethe ansatz (TBA) equations.The phase transitions driven by the chemical potential $\mu$, effective magnetic field $H_1$, $H_2$ (chemical potential biases) are analyzed at the quantum criticality. The phase diagram and critical fields are analytically determined by the thermodynamic Bethe ansatz equations in zero temperature limit. High accurate equations of state, scaling functions are also obtained analytically for the strong interacting gases. The dynamic exponent $z=2$ and correlation length exponent $\nu=1/2$ read off the universal scaling form. It turns out that the quantum criticality of the three-component gases involves a sudden change of density of states of one cluster state, two or three cluster states. In general, this method can be adapted to deal with the quantum criticality of multi-component Fermi gases with $SU(N)$ symmetry.Comment: 20 pages, 5 figures, submitted to J.Phys.A, revised versio

The Penrose Effect In Resource Investment For Innovation: Evidence From Information Technology And Human Capital

Resource-based theory views the firm as a bundle of resources administrated and coordinated by managers. We introduce the theoretical lens of Penrose effect to IS research, which refers to the fact that finite managerial capacities will suffer if the complexity of resource coordination is high. Therefore, although investment in knowledge-related assets, such as information technology (IT) and human capital, is associated with better innovation performance on the one hand, too much capital investment is likely to induce diminishing return on the investment because of Penrose effect. Accordingly, we take a curvilinear approach and propose that the relationships between IT/human capital investments and innovation performance are likely to be inverted Ushaped. Furthermore, we suggest that, in addition to bringing resource synergy, resource coordination also incurs costs, especially when the complexity of coordination among multiple resources is high. Thus, we take a nonlinear approach to examine the interaction effect of IT and human capital investments on innovation performance, which may not be always positive as past research often maintained. Longitudinal data from 404 German firms across several recent years confirm inverted U-shaped relationships between IT/human capital investments and innovation performance. In addition, we find that IT and human capital investments have a negative interaction effect, suggesting that high level of investment in one capital will lead to increasing coordination costs and diminishing return on investment in the other

Antibunching Effect of Kappa-Component Q-Coherent States

We introduce the antibunching effect for the q-electromagnetic field, and study this kind nonclassical properties of k-component q-coherent states given by Kuang et al. The results show that all of them show antibunching effect

Innovative knowledge assets and economic performance: The asymmetric roles of incentives and monitoring

We posit that a firm's resource configuration constitutes a critical context for various corporate governance mechanisms. Although innovative knowledge assets are generally a key determinant of a firm's economic performance, they also lead to greater information asymmetry among managers and owners and to the need to grant managers more discretion in making resource deployment decisions. This weakens the role of monitoring but increases the effectiveness of incentive mechanisms. Therefore, we hypothesize asymmetric moderating effects of monitoring- and incentive-based governance mechanisms on the relationship between innovative knowledge assets and economic performance. Our empirical analyses provide support for the key arguments

Resilient Wide-Area Damping Control Using GrHDP to Tolerate Communication Failures

This paper proposes a goal representation heuristic dynamic programming (GrHDP)-based resilient wide-area damping controller (WADC) for voltage source converter high voltage direct current (VSC-HVDC) employing redundant wide-area signals as input signals to tolerate communication failure. A supervisory fuzzy logic module is proposed and added in the resilient WADC to adjust the learning rate of GrHDP online when encountering communication failure. Moreover, the resilient WADC does not need the accurate model of the power system and has the adaptability to the variation of operation conditions and communication failures. Case studies are conducted in a 10-machine 39-bus system with one VSC-HVDC transmission line. Simulation results show that the resilient WADC can counteract the negative impact of communication failures on control performance under a wide range of system operating conditions