39 research outputs found
Stochastic Chemical Kinetics. Theory and (Mostly) Systems Biological Applications, P. Erdi, G. Lente. Springer (2014)
Book review of Stochastic Chemical Kinetics. Theory and (Mostly) Systems
Biological Applications, P. Erdi, G. Lente. Springer (2014
The relative energy of homogeneous and isotropic universes from variational principles
We calculate the relative conserved currents, superpotentials and conserved
quantities between two homogeneous and isotropic universes. In particular we
prove that their relative "energy" (defined as the conserved quantity
associated to cosmic time coordinate translations for a comoving observer) is
vanishing and so are the other conserved quantities related to a Lie subalgebra
of vector fields isomorphic to the Poincar\'e algebra. These quantities are
also conserved in time. We also find a relative conserved quantity for such a
kind of solutions which is conserved in time though non-vanishing. This example
provides at least two insights in the theory of conserved quantities in General
Relativity. First, the contribution of the cosmological matter fluid to the
conserved quantities is carefully studied and proved to be vanishing. Second,
we explicitly show that our superpotential (that happens to coincide with the
so-called KBL potential although it is generated differently) provides strong
conservation laws under much weaker hypotheses than the ones usually required.
In particular, the symmetry generator is not needed to be Killing (nor Killing
of the background, nor asymptotically Killing), the prescription is quasi-local
and it works fine in a finite region too and no matching condition on the
boundary is required.Comment: Corrected typos and improved forma
Chetaev vs. vakonomic prescriptions in constrained field theories with parametrized variational calculus
Starting from a characterization of admissible Cheataev and vakonomic
variations in a field theory with constraints we show how the so called
parametrized variational calculus can help to derive the vakonomic and the
non-holonomic field equations. We present an example in field theory where the
non-holonomic method proved to be unphysical
A copula-based method to build diffusion models with prescribed marginal and serial dependence
This paper investigates the probabilistic properties that determine the
existence of space-time transformations between diffusion processes. We prove
that two diffusions are related by a monotone space-time transformation if and
only if they share the same serial dependence. The serial dependence of a
diffusion process is studied by means of its copula density and the effect of
monotone and non-monotone space-time transformations on the copula density is
discussed. This provides us a methodology to build diffusion models by freely
combining prescribed marginal behaviors and temporal dependence structures.
Explicit expressions of copula densities are provided for tractable models. A
possible application in neuroscience is sketched as a proof of concept
Analyzing RNA data with scVelo: identifiability issues and a Bayesian implementation
The analysis of RNA data plays a crucial role in understanding cellular differentiation.
One widely-used methodology for analyzing RNA data is scVelo. However, in this paper, we show that, among other issues of scVelo, the current model formalization suffers from identifiability problems. We propose a Bayesian version of scVelo with modifications that address these issues