New predictions on the mass of the 1−+1^{-+} light hybrid meson from QCD sum rules

We calculate the coefficients of the dimension-8 quark and gluon condensates in the current-current correlator of $1^{-+}$ light hybrid current $g\bar{q}(x)\gamma_{\nu}iG_{\mu\nu}(x)q{(x)}$. With inclusion of these higher-power corrections and updating the input parameters, we re-analyze the mass of the $1^{-+}$ light hybrid meson from Monte-Carlo based QCD sum rules. Considering the possible violation of factorization of higher dimensional condensates and variation of $\langle g^3G^3\rangle$, we obtain a conservative mass range 1.72--2.60\,GeV, which favors $\pi_{1}(2015)$ as a better hybrid candidate compared with $\pi_{1}(1600)$ and $\pi_{1}(1400)$.Comment: 12pages, 2 figures, the version appearing in JHE

CHAOTIC CHARACTER OF SPRINTER'S MYOELECTRIC SIGNAL

There are different myoelectric reactions during muscle's motion when athletes are at different training stage. This study analyzed the myoelectric signal at different training stage of athletes according to chaotic theory and found that there were differences in the spectrum character of myoelectric signal and embedding dimension at different training stage of athletes. The results show that the myoelectric signal spectrum at relaxed status of the muscles mainly presents random noisy spectrum character, but the myoelectric signal spectrum at concentric contraction of the muscles presents divided modality spectrum character. The embedding dimension of myoelectric signal is obviously less at contracted status than at relaxed status. The relative value of embedding dimension of myoelectric signal is far larger during the preparation before tournament than during the transition stage

Unambiguous discrimination of mixed quantum states

In this paper, we consider the problem of unambiguous discrimination between a set of mixed quantum states. We first divide the density matrix of each mixed state into two parts by the fact that it comes from ensemble of pure quantum states. The first part will not contribute anything to the discrimination, the second part has support space linearly independent to each other. Then the problem we consider can be reduced to a problem in which the strategy of set discrimination can be used in designing measurements to discriminate mixed states unambiguously. We find a necessary and sufficient condition of unambiguous mixed state discrimination, and also point out that searching the optimal success probability of unambiguous discrimination is mathematically the well-known semi-definite programming problem. A upper bound of the optimal success probability is also presented. Finally, We generalize the concept of set discrimination to mixed state and point out that the problem of discriminating it unambiguously is equivalent to that of unambiguously discriminating mixed states.Comment: 7 page