16,586 research outputs found

    Recovering information of tunneling spectrum from Weakly Isolated Horizon

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    In this paper we investigate the properties of tunneling spectrum from weakly isolated horizon(WIH). We find that there are correlations among Hawking radiations from weakly isolated horizon, the information can be carried out in terms of correlations between sequential emissions, and the radiation is an entropy conservation process. We generalize Refs.[11-13]' results to a more general spacetime. Through revisiting the calculation of tunneling spectrum of weakly isolated horizon, we find that Ref.[12]'s requirement that radiating particles have the same angular momenta of unit mass as that of black hole is not needed, and the energy and angular momenta of emitting particles are very arbitrary which should be restricted only by keeping the cosmic censorship of black hole

    Vector particles tunneling from BTZ black holes

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    In this paper we investigate vector particles' Hawking radiation from a BTZ black hole. By applying the WKB approximation and the Hamilton-Jacobi Ansatz to the Proca equation, we obtain the tunneling spectrum of vector particles. The expected Hawking temperature is recovered

    Entropy spectrum of the apparent horizon of Vaidya black holes via adiabatic invariance

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    The spectroscopy of the apparent horizon of Vaidya black holes is investigated via adiabatic invariance. We obtain an equally spaced entropy spectrum with its quantum equal to the one given by Bekenstein. We demonstrate that the quantization of entropy and area is a generic property of horizon, not only for stationary black holes, and the results also exit in a dynamical black hole. Our work also shows that the quantization of black hole is closely related to Hawking temperature, which is an interesting thing

    Understanding Investment – the Effects of Language

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    Investment, as a major part of business activities, has always been a popular topic of business research. Economic and financial scientists have identified a lot of financial factors that have been publicly recognized as investment influencers. However, there are relatively few researchers trying to identify behavioral factors that have an impact on investment. Having a business and psychology background, I am interested in exploring people’s investment behaviors from a behavioral-finance standpoint. Previous research has shown that languages differ in whether they require speakers to mark future events using grammatical markers, and this difference actually affects people’s saving behaviors. Considered the fact that savings and investment are highly correlated with each other, the purpose of my research is to see whether there is a similar relationship between languages and investment behaviors. I gather information of 23 languages representing 37 countries as well as the domestic stock market participation rates and foreign equity holding rates of these countries. These two types of rates serve as my indicators of people’s investment behaviors. The main method used in my study is regression analysis. Current progress shows that although other major investment influencers have been controlled in the regression, languages do not seem to have a statistically significant impact on investment. This result is not consistent with the finding of the previous research that languages affect savings. Therefore, besides helping people know more about the underlying mechanism of their investment behaviors, my study provides evidence to question the methods and the finding of the previous research.No embargoAcademic Major: Financ
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