A characterization of geometric distribution is given, which is based on the ratio of the real and imaginary part of the characteristic function.

Aiming the problem of determining initial value of nonequidistant GM(1,1) model, in the basis of analyzing modelbuilding mechanism of non-equidistant GM(1,1) model, the cause of the problem was found out and a new method for initiating values of non-equidistant GM(1,1) model was proposed to minimize the quadratic sum of its fitting error. Based on index characteristic of grey model and the defi...

We describe an algorithm to compute the zeta function of any Cab curve over any finite field Fpn . The algorithm computes a p-adic approximation of the characteristic polynomial of Frobenius by computing in the Monsky-Washnitzer cohomology of the curve and thus generalizes Kedlaya’s algorithm for hyperelliptic curves. For fixed p the asymptotic running time for a Cab curve of genus g over Fpn i...

We consider the asymptotics of the second-order correlation function of the characteristic polynomial of a random matrix. We show that the known result for a random matrix from the Gaussian Unitary Ensemble essentially continues to hold for a general Hermitian Wigner matrix. Our proofs rely on an explicit formula for the exponential generating function of the second-order correlation function o...

Let φ be a Drinfeld module of rank 2 over the field of rational functions F = Fq(T ), with EndF̄ (φ) = Fq[T ]. Let K be a fixed imaginary quadratic field over F and d a positive integer. For each prime p of good reduction for φ, let πp(φ) be a root of the characteristic polynomial of the Frobenius endomorphism of φ over the finite field Fq[T ]/p. Let Πφ(K; d) be the number of primes p of degree ...

We consider the asymptotics of the second-order correlation function of the characteristic polynomial of a random matrix. We show that the known result for a random matrix from the Gaussian Unitary Ensemble essentially continues to hold for a general Hermitian Wigner matrix. Our proofs rely on an explicit formula for the exponential generating function of the second-order correlation function o...

We present an approach for evaluating coherence in multivariate systems that considers all the variables simultaneously. We operationalize the multivariate system as a network and define coherence as the efficiency with which a signal is transmitted throughout the network. We illustrate this approach with time series data from 15 psychophysiological signals representing individuals’ moment-by-m...