1994
Authors
MACKAY, RS; PINTO, AA; VANZEIJTS, JBJ;
Publication
PHYSICS LETTERS A
Abstract
The coordinate change eigenvalues for the MacKay and van Zeijts period doubling renormalisation operator for bimodal 1D maps are derived. They are found in numerical computations of the spectrum at all the periodic orbits of renormalisation of period up to five.
2010
Authors
Goncalves, R; Ferreira, H; Stollenwerk, N; Pinto, AA;
Publication
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
Abstract
We compute the analytic expression of the probability distributions F(AEX,+) and F(AEX,-) of the normalized positive and negative AEX (Netherlands) index daily returns r(t). Furthermore, we define the alpha re-scaled AEX daily index positive returns r(t)(alpha) and negative returns (-r(t))(alpha), which we call, after normalization, the alpha positive fluctuations and alpha negative fluctuations. We use the Kolmogorov-Smirnov statistical test as a method to find the values of alpha that optimize the data collapse of the histogram of the alpha fluctuations with the Bramwell-Holdsworth-Pinton (BHP) probability density function. The optimal parameters that we found are alpha(+) = 0.46 and alpha(-) = 0.43. Since the BHP probability density function appears in several other dissimilar phenomena, our result reveals a universal feature of stock exchange markets.
2001
Authors
Pinto, AA; Rand, DA;
Publication
ERGODIC THEORY AND DYNAMICAL SYSTEMS
Abstract
We give an elementary proof of existence and uniqueness of Gibbs states for Holder weight systems on subshifts of finite type. This uses a notion of duality for such subshifts. The approach of Paterson [2] is used to construct a measure with a prescribed Jacobian and the duality is used to produce an invariant measure from this.
2007
Authors
Pinheiro, D; Pinto, AA; Xanthopoulos, SZ; Yannacopoulos, AN;
Publication
Proc. Appl. Math. Mech. - PAMM
Abstract
2007
Authors
Ferreira, FA; Moreira, HA; Pinto, AA;
Publication
Proc. Appl. Math. Mech. - PAMM
Abstract
2009
Authors
Goncalves, R; Ferreira, H; Pinto, A; Stollenwerk, N;
Publication
JOURNAL OF DIFFERENCE EQUATIONS AND APPLICATIONS
Abstract
We exploit ideas of nonlinear dynamics and statistical physics in a complex nondeterministic dynamical setting using the Ruelle-Takens embedding. We present some new insights on the quality of the prediction in the laminar regime and we exhibit the data collapse of the predicted relative first difference fluctuations to the universal Bramwell-Hodsworth-Pinton distribution. Hence, the nearest neighbour method of prediction acts as a filter that does not eliminate the randomness, but exhibits its universal character.
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