763 research outputs found
Asymptotic invariants, complexity of groups and related problems
We survey results about computational complexity of the word problem in
groups, Dehn functions of groups and related problems.Comment: 86 pages. Preliminary version, comments are welcome. v2: some
references added, misprints fixed, some changes suggested by the readers are
made. 88 pages. v3: more readers' suggestions implemented, index added, the
list of references improved. This version is submitted to a journal. v4: The
paper is accepted in Bulletin of Mathematical Science
An algebraic approach to Polya processes
P\'olya processes are natural generalization of P\'olya-Eggenberger urn
models. This article presents a new approach of their asymptotic behaviour {\it
via} moments, based on the spectral decomposition of a suitable finite
difference operator on polynomial functions. Especially, it provides new
results for {\it large} processes (a P\'olya process is called {\it small} when
1 is simple eigenvalue of its replacement matrix and when any other eigenvalue
has a real part ; otherwise, it is called large)
The algebro-geometric study of range maps
Localizing a radiant source is a widespread problem to many scientific and
technological research areas. E.g. localization based on range measurements
stays at the core of technologies like radar, sonar and wireless sensors
networks. In this manuscript we study in depth the model for source
localization based on range measurements obtained from the source signal, from
the point of view of algebraic geometry. In the case of three receivers, we
find unexpected connections between this problem and the geometry of Kummer's
and Cayley's surfaces. Our work gives new insights also on the localization
based on range differences.Comment: 38 pages, 18 figure
Decay of correlations on towers with non-Holder continuous Jacobian and non-exponential return time
We establish upper bounds on the rate of decay of correlations of tower
systems with summable variation of the Jacobian and integrable return time.
That is, we consider situations in which the Jacobian is not Holder and the
return time is only subexponentially decaying. We obtain a subexponential bound
on the correlations, which is essentially the slowest of the decays of the
variation of the Jacobian and of the return time
A comprehensive analysis of the geometry of TDOA maps in localisation problems
In this manuscript we consider the well-established problem of TDOA-based
source localization and propose a comprehensive analysis of its solutions for
arbitrary sensor measurements and placements. More specifically, we define the
TDOA map from the physical space of source locations to the space of range
measurements (TDOAs), in the specific case of three receivers in 2D space. We
then study the identifiability of the model, giving a complete analytical
characterization of the image of this map and its invertibility. This analysis
has been conducted in a completely mathematical fashion, using many different
tools which make it valid for every sensor configuration. These results are the
first step towards the solution of more general problems involving, for
example, a larger number of sensors, uncertainty in their placement, or lack of
synchronization.Comment: 51 pages (3 appendices of 12 pages), 12 figure
Computing Aggregate Properties of Preimages for 2D Cellular Automata
Computing properties of the set of precursors of a given configuration is a
common problem underlying many important questions about cellular automata.
Unfortunately, such computations quickly become intractable in dimension
greater than one. This paper presents an algorithm --- incremental aggregation
--- that can compute aggregate properties of the set of precursors
exponentially faster than na{\"i}ve approaches. The incremental aggregation
algorithm is demonstrated on two problems from the two-dimensional binary Game
of Life cellular automaton: precursor count distributions and higher-order mean
field theory coefficients. In both cases, incremental aggregation allows us to
obtain new results that were previously beyond reach
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