8,905 research outputs found
Polynomial diffusions on compact quadric sets
Polynomial processes are defined by the property that conditional
expectations of polynomial functions of the process are again polynomials of
the same or lower degree. Many fundamental stochastic processes, including
affine processes, are polynomial, and their tractable structure makes them
important in applications. In this paper we study polynomial diffusions whose
state space is a compact quadric set. Necessary and sufficient conditions for
existence, uniqueness, and boundary attainment are given. The existence of a
convenient parameterization of the generator is shown to be closely related to
the classical problem of expressing nonnegative polynomials---specifically,
biquadratic forms vanishing on the diagonal---as a sum of squares. We prove
that in dimension every such biquadratic form is a sum of squares,
while for there are counterexamples. The case remains open. An
equivalent probabilistic description of the sum of squares property is
provided, and we show how it can be used to obtain results on pathwise
uniqueness and existence of smooth densities.Comment: Forthcoming in Stochastic Processes and their Application
Unimodular Trees versus Einstein Trees
The maximally helicity violating (MHV) tree level scattering amplitudes
involving three, four or five gravitons are worked out in Unimodular Gravity.
They are found to coincide with the corresponding amplitudes in General
Relativity. This a remarkable result, insofar as both the propagators and the
vertices are quite different in both theories.Comment: 20 pages, 5 figure
A posteriori modeling error estimates in the optimization of two-scale elastic composite materials
The a posteriori analysis of the discretization error and the modeling error
is studied for a compliance cost functional in the context of the optimization
of composite elastic materials and a two-scale linearized elasticity model. A
mechanically simple, parametrized microscopic supporting structure is chosen
and the parameters describing the structure are determined minimizing the
compliance objective. An a posteriori error estimate is derived which includes
the modeling error caused by the replacement of a nested laminate
microstructure by this considerably simpler microstructure. Indeed, nested
laminates are known to realize the minimal compliance and provide a benchmark
for the quality of the microstructures. To estimate the local difference in the
compliance functional the dual weighted residual approach is used. Different
numerical experiments show that the resulting adaptive scheme leads to simple
parametrized microscopic supporting structures that can compete with the
optimal nested laminate construction. The derived a posteriori error indicators
allow to verify that the suggested simplified microstructures achieve the
optimal value of the compliance up to a few percent. Furthermore, it is shown
how discretization error and modeling error can be balanced by choosing an
optimal level of grid refinement. Our two scale results with a single scale
microstructure can provide guidance towards the design of a producible
macroscopic fine scale pattern
Unimodular Gravity and General Relativity UV divergent contributions to the scattering of massive scalar particles
We work out the one-loop and order UV divergent
contributions, coming from Unimodular Gravity and General Relativity, to the S
matrix element of the scattering process
in a theory with mass . We show that both Unimodular
Gravity and General Relativity give rise to the same UV divergent contributions
in Dimension Regularization. This seems to be at odds with the known result
that in a multiplicative MS dimensional regularization scheme the General
Relativity corrections, in the de Donder gauge, to the beta function
of the coupling do not vanish, whereas the
Unimodular Gravity corrections, in a certain gauge, do vanish. Actually, we
show that the UV divergent contributions to the 1PI Feynman diagrams which give
rise to those non-vanishing corrections to do not contribute
to the UV divergent behaviour of the S matrix element of and this shows that any physical consequence
--such existence of asymptotic freedom due to gravitational interactions--
drawn from the value of is not physically meaningful.Comment: 13 pages, 4 figure
Markov cubature rules for polynomial processes
We study discretizations of polynomial processes using finite state Markov
processes satisfying suitable moment matching conditions. The states of these
Markov processes together with their transition probabilities can be
interpreted as Markov cubature rules. The polynomial property allows us to
study such rules using algebraic techniques. Markov cubature rules aid the
tractability of path-dependent tasks such as American option pricing in models
where the underlying factors are polynomial processes.Comment: 29 pages, 6 Figures, 2 Tables; forthcoming in Stochastic Processes
and their Application
Affine Volterra processes
We introduce affine Volterra processes, defined as solutions of certain
stochastic convolution equations with affine coefficients. Classical affine
diffusions constitute a special case, but affine Volterra processes are neither
semimartingales, nor Markov processes in general. We provide explicit
exponential-affine representations of the Fourier-Laplace functional in terms
of the solution of an associated system of deterministic integral equations of
convolution type, extending well-known formulas for classical affine
diffusions. For specific state spaces, we prove existence, uniqueness, and
invariance properties of solutions of the corresponding stochastic convolution
equations. Our arguments avoid infinite-dimensional stochastic analysis as well
as stochastic integration with respect to non-semimartingales, relying instead
on tools from the theory of finite-dimensional deterministic convolution
equations. Our findings generalize and clarify recent results in the literature
on rough volatility models in finance
CS, HC3N and CH3CCH multi-line analyses towards starburst galaxies. The evolution of cloud structures in the central regions of galaxies
We aim to study the properties of the dense molecular gas towards the inner
few 100 pc of four nearby starburst galaxies dominated both by photo
dissociation regions (M82) and large-scale shocks (NGC253, IC342 and Maffei2),
and to relate the chemical and physical properties of the molecular clouds with
the evolutionary stage of the nuclear starbursts. We have carried out
multi-transitional observations and analyses of three dense gas molecular
tracers, CS, HC3N and CH3CCH, using Boltzmann diagrams in order to determine
the rotational temperatures and column densities of the dense gas, and using a
Large Velocity Gradients model to calculate the H2 density structure in the
molecular clouds. The CS and HC3N data indicate the presence of density
gradients in the molecular clouds, showing similar excitation conditions, and
suggesting that they arise from the same gas components. In M82, CH3CCH has the
highest fractional abundance determined in a extragalactic source (10^-8). The
density and the chemical gradients found in all galaxies can be explained in
the framework of the starburst evolution. The young shock-dominatedstarburst
galaxies, like presumably Maffei2, show a cloud structure with a rather uniform
density and chemical composition which suggests low star formation activity.
Molecular clouds in galaxies with starburst in an intermediate stage of
evolution, such as NGC253 and IC342, show clouds with a large density contrast
(two orders of magnitude) between the denser regions (cores) and the less dense
regions (halos) of the molecular clouds and relatively constant chemical
abundance. Finally, the galaxy with the most evolved starburst, M82, has clouds
with a rather uniform density structure, large envelopes of atomic/molecular
gas subjected to UV photodissociating radiation from young star clusters, and
very different chemical abundances of HC3N and CH3CCH.Comment: 14 pages + 1 appendix of 2 pages; 7 figures. Accepted for publication
in Astronomy and Astrophysic
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