51,604 research outputs found
Finite-State Dimension and Real Arithmetic
We use entropy rates and Schur concavity to prove that, for every integer k
>= 2, every nonzero rational number q, and every real number alpha, the base-k
expansions of alpha, q+alpha, and q*alpha all have the same finite-state
dimension and the same finite-state strong dimension. This extends, and gives a
new proof of, Wall's 1949 theorem stating that the sum or product of a nonzero
rational number and a Borel normal number is always Borel normal.Comment: 15 page
A Weyl Criterion for Finite-State Dimension and Applications
Finite-state dimension, introduced early in this century as a finite-state
version of classical Hausdorff dimension, is a quantitative measure of the
lower asymptotic density of information in an infinite sequence over a finite
alphabet, as perceived by finite automata. Finite-state dimension is a robust
concept that now has equivalent formulations in terms of finite-state gambling,
lossless finite-state data compression, finite-state prediction, entropy rates,
and automatic Kolmogorov complexity. The Schnorr-Stimm dichotomy theorem gave
the first automata-theoretic characterization of normal sequences, which had
been studied in analytic number theory since Borel defined them. This theorem
implies that a sequence (or a real number having this sequence as its base-b
expansion) is normal if and only if it has finite-state dimension 1. One of the
most powerful classical tools for investigating normal numbers is the Weyl
criterion, which characterizes normality in terms of exponential sums. Such
sums are well studied objects with many connections to other aspects of
analytic number theory, and this has made use of Weyl criterion especially
fruitful. This raises the question whether Weyl criterion can be generalized
from finite-state dimension 1 to arbitrary finite-state dimensions, thereby
making it a quantitative tool for studying data compression, prediction, etc.
This paper does exactly this. We extend the Weyl criterion from a
characterization of sequences with finite-state dimension 1 to a criterion that
characterizes every finite-state dimension. This turns out not to be a routine
generalization of the original Weyl criterion. Even though exponential sums may
diverge for non-normal numbers, finite-state dimension can be characterized in
terms of the dimensions of the subsequence limits of the exponential sums. We
demonstrate the utility of our criterion though examples
Zero-Delay Rate Distortion via Filtering for Vector-Valued Gaussian Sources
We deal with zero-delay source coding of a vector-valued Gauss-Markov source
subject to a mean-squared error (MSE) fidelity criterion characterized by the
operational zero-delay vector-valued Gaussian rate distortion function (RDF).
We address this problem by considering the nonanticipative RDF (NRDF) which is
a lower bound to the causal optimal performance theoretically attainable (OPTA)
function and operational zero-delay RDF. We recall the realization that
corresponds to the optimal "test-channel" of the Gaussian NRDF, when
considering a vector Gauss-Markov source subject to a MSE distortion in the
finite time horizon. Then, we introduce sufficient conditions to show existence
of solution for this problem in the infinite time horizon. For the asymptotic
regime, we use the asymptotic characterization of the Gaussian NRDF to provide
a new equivalent realization scheme with feedback which is characterized by a
resource allocation (reverse-waterfilling) problem across the dimension of the
vector source. We leverage the new realization to derive a predictive coding
scheme via lattice quantization with subtractive dither and joint memoryless
entropy coding. This coding scheme offers an upper bound to the operational
zero-delay vector-valued Gaussian RDF. When we use scalar quantization, then
for "r" active dimensions of the vector Gauss-Markov source the gap between the
obtained lower and theoretical upper bounds is less than or equal to 0.254r + 1
bits/vector. We further show that it is possible when we use vector
quantization, and assume infinite dimensional Gauss-Markov sources to make the
previous gap to be negligible, i.e., Gaussian NRDF approximates the operational
zero-delay Gaussian RDF. We also extend our results to vector-valued Gaussian
sources of any finite memory under mild conditions. Our theoretical framework
is demonstrated with illustrative numerical experiments.Comment: 32 pages, 9 figures, published in IEEE Journal of Selected Topics in
Signal Processin
On asymptotic continuity of functions of quantum states
A useful kind of continuity of quantum states functions in asymptotic regime
is so-called asymptotic continuity. In this paper we provide general tools for
checking if a function possesses this property. First we prove equivalence of
asymptotic continuity with so-called it robustness under admixture. This allows
us to show that relative entropy distance from a convex set including maximally
mixed state is asymptotically continuous. Subsequently, we consider it arrowing
- a way of building a new function out of a given one. The procedure originates
from constructions of intrinsic information and entanglement of formation. We
show that arrowing preserves asymptotic continuity for a class of functions
(so-called subextensive ones). The result is illustrated by means of several
examples.Comment: Minor corrections, version submitted for publicatio
Metastability in zero-temperature dynamics: Statistics of attractors
The zero-temperature dynamics of simple models such as Ising ferromagnets
provides, as an alternative to the mean-field situation, interesting examples
of dynamical systems with many attractors (absorbing configurations, blocked
configurations, zero-temperature metastable states). After a brief review of
metastability in the mean-field ferromagnet and of the droplet picture, we
focus our attention onto zero-temperature single-spin-flip dynamics of
ferromagnetic Ising models. The situations leading to metastability are
characterized. The statistics and the spatial structure of the attractors thus
obtained are investigated, and put in perspective with uniform a priori
ensembles. We review the vast amount of exact results available in one
dimension, and present original results on the square and honeycomb lattices.Comment: 21 pages, 6 figures. To appear in special issue of JPCM on Granular
Matter edited by M. Nicodem
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