585 research outputs found
Spacings and pair correlations for finite Bernoulli convolutions
We consider finite Bernoulli convolutions with a parameter
supported on a discrete point set, generically of size . These sequences
are uniformly distributed with respect to the infinite Bernoulli convolution
measure , as tends to infinity. Numerical evidence suggests that for
a generic , the distribution of spacings between appropriately rescaled
points is Poissonian. We obtain some partial results in this direction; for
instance, we show that, on average, the pair correlations do not exhibit
attraction or repulsion in the limit. On the other hand, for certain algebraic
the behavior is totally different.Comment: 17 pages, 6 figure
Scaling and interleaving of sub-system Lyapunov exponents for spatio-temporal systems
The computation of the entire Lyapunov spectrum for extended dynamical
systems is a very time consuming task. If the system is in a chaotic
spatio-temporal regime it is possible to approximately reconstruct the Lyapunov
spectrum from the spectrum of a sub-system in a very cost effective way. In
this work we present a new rescaling method, which gives a significantly better
fit to the original Lyapunov spectrum. It is inspired by the stability analysis
of the homogeneous evolution in a one-dimensional coupled map lattice but
appears to be equally valid in a much wider range of cases. We evaluate the
performance of our rescaling method by comparing it to the conventional
rescaling (dividing by the relative sub-system volume) for one and
two-dimensional lattices in spatio-temporal chaotic regimes. In doing so we
notice that the Lyapunov spectra for consecutive sub-system sizes are
interleaved and we discuss the possible ways in which this may arise. Finally,
we use the new rescaling to approximate quantities derived from the Lyapunov
spectrum (largest Lyapunov exponent, Lyapunov dimension and Kolmogorov-Sinai
entropy) finding better convergence as the sub-system size is increased than
with conventional rescaling.Comment: 18 pages, double column, REVTeX, 27 embedded postscript figures with
psfig. Submitted to Chao
Combinatorics of linear iterated function systems with overlaps
Let be points in , and let
be a one-parameter family of similitudes of : where
is our parameter. Then, as is well known, there exists a
unique self-similar attractor satisfying
. Each has
at least one address , i.e.,
.
We show that for sufficiently close to 1, each has different
addresses. If is not too close to 1, then we can still have an
overlap, but there exist 's which have a unique address. However, we
prove that almost every has addresses,
provided contains no holes and at least one proper overlap. We
apply these results to the case of expansions with deleted digits.
Furthermore, we give sharp sufficient conditions for the Open Set Condition
to fail and for the attractor to have no holes.
These results are generalisations of the corresponding one-dimensional
results, however most proofs are different.Comment: Accepted for publication in Nonlinearit
Similar dissection of sets
In 1994, Martin Gardner stated a set of questions concerning the dissection
of a square or an equilateral triangle in three similar parts. Meanwhile,
Gardner's questions have been generalized and some of them are already solved.
In the present paper, we solve more of his questions and treat them in a much
more general context. Let be a given set and let
be injective continuous mappings. Does there exist a set such
that is satisfied with a
non-overlapping union? We prove that such a set exists for certain choices
of and . The solutions often turn out to be attractors
of iterated function systems with condensation in the sense of Barnsley. Coming
back to Gardner's setting, we use our theory to prove that an equilateral
triangle can be dissected in three similar copies whose areas have ratio
for
Don't bleach chaotic data
A common first step in time series signal analysis involves digitally
filtering the data to remove linear correlations. The residual data is
spectrally white (it is ``bleached''), but in principle retains the nonlinear
structure of the original time series. It is well known that simple linear
autocorrelation can give rise to spurious results in algorithms for estimating
nonlinear invariants, such as fractal dimension and Lyapunov exponents. In
theory, bleached data avoids these pitfalls. But in practice, bleaching
obscures the underlying deterministic structure of a low-dimensional chaotic
process. This appears to be a property of the chaos itself, since nonchaotic
data are not similarly affected. The adverse effects of bleaching are
demonstrated in a series of numerical experiments on known chaotic data. Some
theoretical aspects are also discussed.Comment: 12 dense pages (82K) of ordinary LaTeX; uses macro psfig.tex for
inclusion of figures in text; figures are uufile'd into a single file of size
306K; the final dvips'd postscript file is about 1.3mb Replaced 9/30/93 to
incorporate final changes in the proofs and to make the LaTeX more portable;
the paper will appear in CHAOS 4 (Dec, 1993
Self-Consistent Asset Pricing Models
We discuss the foundations of factor or regression models in the light of the
self-consistency condition that the market portfolio (and more generally the
risk factors) is (are) constituted of the assets whose returns it is (they are)
supposed to explain. As already reported in several articles, self-consistency
implies correlations between the return disturbances. As a consequence, the
alpha's and beta's of the factor model are unobservable. Self-consistency leads
to renormalized beta's with zero effective alpha's, which are observable with
standard OLS regressions. Analytical derivations and numerical simulations show
that, for arbitrary choices of the proxy which are different from the true
market portfolio, a modified linear regression holds with a non-zero value
at the origin between an asset 's return and the proxy's return.
Self-consistency also introduces ``orthogonality'' and ``normality'' conditions
linking the beta's, alpha's (as well as the residuals) and the weights of the
proxy portfolio. Two diagnostics based on these orthogonality and normality
conditions are implemented on a basket of 323 assets which have been components
of the S&P500 in the period from Jan. 1990 to Feb. 2005. These two diagnostics
show interesting departures from dynamical self-consistency starting about 2
years before the end of the Internet bubble. Finally, the factor decomposition
with the self-consistency condition derives a risk-factor decomposition in the
multi-factor case which is identical to the principal components analysis
(PCA), thus providing a direct link between model-driven and data-driven
constructions of risk factors.Comment: 36 pages with 8 figures. large version with 6 appendices for the
Proceedings of the 5th International Conference APFS (Applications of Physics
in Financial Analysis), June 29-July 1, 2006, Torin
The DDX6-4E-T interaction mediates translational repression and P-body assembly
This is the final version of the article. Available from the publisher via the DOI in this record.4E-Transporter binds eIF4E via its consensus sequence YXXXXLΦ, shared with eIF4G, and is a nucleocytoplasmic shuttling protein found enriched in P-(rocessing) bodies. 4E-T inhibits general protein synthesis by reducing available eIF4E levels. Recently, we showed that 4E-T bound to mRNA however represses its translation in an eIF4E-independent manner, and contributes to silencing of mRNAs targeted by miRNAs. Here, we address further the mechanism of translational repression by 4E-T by first identifying and delineating the interacting sites of its major partners by mass spectrometry and western blotting, including DDX6, UNR, unrip, PAT1B, LSM14A and CNOT4. Furthermore, we document novel binding between 4E-T partners including UNR-CNOT4 and unrip-LSM14A, altogether suggesting 4E-T nucleates a complex network of RNA-binding protein interactions. In functional assays, we demonstrate that joint deletion of two short conserved motifs that bind UNR and DDX6 relieves repression of 4E-T-bound mRNA, in part reliant on the 4E-T-DDX6-CNOT1 axis. We also show that the DDX6-4E-T interaction mediates miRNA-dependent translational repression and de novo P-body assembly, implying that translational repression and formation of new P-bodies are coupled processes. Altogether these findings considerably extend our understanding of the role of 4E-T in gene regulation, important in development and neurogenesis.BBSRC [BB/J00779X/1 to N.S.]; CNRS PICS (to D.W.); Agence Nationale pour la Recherche [ANR-14-CE09-0013-01ANR to D.W.]; Gates Cambridge Foundation (to A.K.); Fondation Wiener – Anspach of the Université Libre de Bruxelles and the Cambridge Newton Trust (C.V.). Funding for open access charge: BBSRC
Phases of M2-brane Theories
We investigate different toric phases of 2+1 dimensional quiver gauge
theories arising from M2-branes probing toric Calabi-Yau 4 folds. A brane
tiling for each toric phase is presented. We apply the 'forward algorithm' to
obtain the toric data of the mesonic moduli space of vacua and exhibit the
equivalence between the vacua of different toric phases of a given singularity.
The structures of the Master space, the mesonic moduli space, and the baryonic
moduli space are examined in detail. We compute the Hilbert series and use them
to verify the toric dualities between different phases. The Hilbert series,
R-charges, and generators of the mesonic moduli space are matched between toric
phases.Comment: 60 pages, 28 figures, 6 tables. v2: minor correction
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