1,802 research outputs found

    Asymptotic properties of a bold random walk

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    In a recent paper we proposed a non-Markovian random walk model with memory of the maximum distance ever reached from the starting point (home). The behavior of the walker is at variance with respect to the simple symmetric random walk (SSRW) only when she is at this maximum distance, where, having the choice to move either farther or closer, she decides with different probabilities. If the probability of a forward step is higher then the probability of a backward step, the walker is bold and her behavior turns out to be super-diffusive, otherwise she is timorous and her behavior turns out to be sub-diffusive. The scaling behavior vary continuously from sub-diffusive (timorous) to super-diffusive (bold) according to a single parameter γR\gamma \in R. We investigate here the asymptotic properties of the bold case in the non ballistic region γ[0,1/2]\gamma \in [0,1/2], a problem which was left partially unsolved in \cite{S}. The exact results proved in this paper require new probabilistic tools which rely on the construction of appropriate martingales of the random walk and its hitting times

    Mitochondrial Dna Replacement Versus Nuclear Dna Persistence

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    In this paper we consider two populations whose generations are not overlapping and whose size is large. The number of males and females in both populations is constant. Any generation is replaced by a new one and any individual has two parents for what concerns nuclear DNA and a single one (the mother) for what concerns mtDNA. Moreover, at any generation some individuals migrate from the first population to the second. In a finite random time TT, the mtDNA of the second population is completely replaced by the mtDNA of the first. In the same time, the nuclear DNA is not completely replaced and a fraction FF of the ancient nuclear DNA persists. We compute both TT and FF. Since this study shows that complete replacement of mtDNA in a population is compatible with the persistence of a large fraction of nuclear DNA, it may have some relevance for the Out of Africa/Multiregional debate in Paleoanthropology

    Observability of Market Daily Volatility

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    We study the price dynamics of 65 stocks from the Dow Jones Composite Average from 1973 until 2014. We show that it is possible to define a Daily Market Volatility σ(t)\sigma(t) which is directly observable from data. This quantity is usually indirectly defined by r(t)=σ(t)ω(t)r(t)=\sigma(t) \omega(t) where the r(t)r(t) are the daily returns of the market index and the ω(t)\omega(t) are i.i.d. random variables with vanishing average and unitary variance. The relation r(t)=σ(t)ω(t)r(t)=\sigma(t) \omega(t) alone is unable to give an operative definition of the index volatility, which remains unobservable. On the contrary, we show that using the whole information available in the market, the index volatility can be operatively defined and detected

    Spot foreign exchange market and time series

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    We investigate high frequency price dynamics in foreign exchange market using data from Reuters information system (the dataset has been provided to us by Ols en & Associates). In our analysis we show that a na\"ive approach to the definition of price (for example using the spot midprice) may lead to wrong conclusions on price behavior as for example the presence of short term covariances for returns. For this purpose we introduce an algorithm which only uses the non arbitrage principle to estimate real prices from the spot ones. The new definition leads to returns which are i.i.d. variables and therefore are not affected by spurious correlations. Furthermore, any apparent information (defined by using Shannon entropy) contained in the data disappears

    Indo-European languages tree by Levenshtein distance

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    The evolution of languages closely resembles the evolution of haploid organisms. This similarity has been recently exploited \cite{GA,GJ} to construct language trees. The key point is the definition of a distance among all pairs of languages which is the analogous of a genetic distance. Many methods have been proposed to define these distances, one of this, used by glottochronology, compute distance from the percentage of shared ``cognates''. Cognates are words inferred to have a common historical origin, and subjective judgment plays a relevant role in the identification process. Here we push closer the analogy with evolutionary biology and we introduce a genetic distance among language pairs by considering a renormalized Levenshtein distance among words with same meaning and averaging on all the words contained in a Swadesh list \cite{Sw}. The subjectivity of process is consistently reduced and the reproducibility is highly facilitated. We test our method against the Indo-European group considering fifty different languages and the two hundred words of the Swadesh list for any of them. We find out a tree which closely resembles the one published in \cite{GA} with some significant differences

    Bethe-Peierls Approximation for the 2D Random Ising Model

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    The partition function of the 2d Ising model with random nearest neighbor coupling is expressed in the dual lattice made of square plaquettes. The dual model is solved in the the mean field and in different types of Bethe-Peierls approximations, using the replica method.Comment: Plane TeX file, 21 pages, 5 figures available under request to [email protected]
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