30,304 research outputs found
Stationary quantum Markov process for the Wigner function
As a stochastic model for quantum mechanics we present a stationary quantum
Markov process for the time evolution of the Wigner function on a lattice phase
space Z_N x Z_N with N odd. By introducing a phase factor extension to the
phase space, each particle can be treated independently. This is an improvement
on earlier methods that require the whole distribution function to determine
the evolution of a constituent particle. The process has branching and
vanishing points, though a finite time interval can be maintained between the
branchings. The procedure to perform a simulation using the process is
presented.Comment: 12 pages, no figures; replaced with version accepted for publication
in J. Phys. A, title changed, an example adde
Unitary-process discrimination with error margin
We investigate a discrimination scheme between unitary processes. By
introducing a margin for the probability of erroneous guess, this scheme
interpolates the two standard discrimination schemes: minimum-error and
unambiguous discrimination. We present solutions for two cases. One is the case
of two unitary processes with general prior probabilities. The other is the
case with a group symmetry: the processes comprise a projective representation
of a finite group. In the latter case, we found that unambiguous discrimination
is a kind of "all or nothing": the maximum success probability is either 0 or
1. We also closely analyze how entanglement with an auxiliary system improves
discrimination performance.Comment: 9 pages, 3 figures, presentation improved, typos corrected, final
versio
Quantum-state comparison and discrimination
We investigate the performance of discrimination strategy in the comparison
task of known quantum states. In the discrimination strategy, one infers
whether or not two quantum systems are in the same state on the basis of the
outcomes of separate discrimination measurements on each system. In some cases
with more than two possible states, the optimal strategy in minimum-error
comparison is that one should infer the two systems are in different states
without any measurement, implying that the discrimination strategy performs
worse than the trivial "no-measurement" strategy. We present a sufficient
condition for this phenomenon to happen. For two pure states with equal prior
probabilities, we determine the optimal comparison success probability with an
error margin, which interpolates the minimum-error and unambiguous comparison.
We find that the discrimination strategy is not optimal except for the
minimum-error case.Comment: 8 pages, 1 figure, minor corrections made, final versio
-prime and -primary -ideals on -schemes
Let be a flat finite-type group scheme over a scheme , and a
noetherian -scheme on which -acts. We define and study -prime and
-primary -ideals on and study their basic properties. In particular,
we prove the existence of minimal -primary decomposition and the
well-definedness of -associated -primes. We also prove a generalization
of Matijevic-Roberts type theorem. In particular, we prove Matijevic-Roberts
type theorem on graded rings for -regular and -rational properties.Comment: 54pages, added Example 6.16 and the reference [8]. The final versio
Determinant of a new fermionic action on a lattice - (I)
We investigate, analytically and numerically, the fermion determinant of a
new action on a (1+1)-dimensional Euclidean lattice. In this formulation the
discrete chiral symmetry is preserved and the number of fermion components is a
half of that of Kogut-Susskind. In particular, we show that our fermion
determinant is real and positive for U(1) gauge group under specific
conditions, which correspond to gauge conditions on the infinite lattice. It is
also shown that the determinant is real and positive for SU(N) gauge group
without any condition.Comment: 12 pages, 7 figure
New Approach for Evaluating Incomplete and Complete Fusion Cross Sections with Continuum-Discretized Coupled-Channels Method
We propose a new method for evaluating incomplete and complete fusion cross
sections separately using the Continuum-Discretized Coupled-Channels method.
This method is applied to analysis of the deuteron induced reaction on a 7Li
target up to 50 MeV of the deuteron incident energy. Effects of deuteron
breakup on this reaction are explicitly taken into account. Results of the
method are compared with those of the Glauber model, and the difference between
the two is discussed. It is found that the energy dependence of the incomplete
fusion cross sections obtained by the present calculation is almost the same as
that obtained by the Glauber model, while for the complete fusion cross
section, the two models give markedly different energy dependence. We show also
that a prescription for evaluating incomplete fusion cross sections proposed in
a previous study gives much smaller result than an experimental value.Comment: 10 pages, 5 figure
Distinct doping dependences of the pseudogap and superconducting gap LaSrCuO cuprate superconductors
We have performed a temperature-dependent angle-integrated photoemission
study of lightly-doped to heavily-overdoped LaSrCuO and
oxygen-doped LaCuO. We found that both the magnitude * of
the (small) pseudogap and the temperature \textit{T}* at which the pseudogap is
opened increases with decreasing hole concentration, consistent with previous
studies. On the other hand, the superconducting gap was found to
remain small for decreasing hole concentration. The results can be explained if
the superconducting gap opens only on the Fermi arc around the nodal
(0,0)-() direction while the pseudogap opens around (, 0).Comment: 4 pages, 3 figure
New Flexible Regression Models Generated by Gamma Random Variables with Censored Data
We propose and study a new log-gamma Weibull regression model. We obtain explicit expressions for the raw and incomplete moments, quantile and generating functions and mean deviations of the log-gamma Weibull distribution. We demonstrate that the new regression model can be applied to censored data since it represents a parametric family of models which includes as sub-models several widely-known regression models and therefore can be used more effectively in the analysis of survival data. We obtain the maximum likelihood estimates of the model parameters by considering censored data and evaluate local influence on the estimates of the parameters by taking different perturbation schemes. Some global-influence measurements are also investigated. Further, for different parameter settings, sample sizes and censoring percentages, various simulations are performed. In addition, the empirical distribution of some modified residuals are displayed and compared with the standard normal distribution. These studies suggest that the residual analysis usually performed in normal linear regression models can be extended to a modified deviance residual in the proposed regression model applied to censored data. We demonstrate that our extended regression model is very useful to the analysis of real data and may give more realistic fits than other special regression models
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