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Geodesics for a class of distances in the space of probability measures  [PDF]
Pierre Cardaliaguet,Guillaume Carlier,Bruno Nazaret
Mathematics , 2012,
Abstract: In this paper, we study the characterization of geodesics for a class of distances between probability measures introduced by Dolbeault, Nazaret and Savar e. We first prove the existence of a potential function and then give necessary and suffi cient optimality conditions that take the form of a coupled system of PDEs somehow similar to the Mean-Field-Games system of Lasry and Lions. We also consider an equivalent formulation posed in a set of probability measures over curves.
Some problems on mapping class groups and moduli space  [PDF]
Benson Farb
Mathematics , 2006,
Abstract: This paper presents a number of problems about mapping class groups and moduli space. The paper will appear in the book "Problems on Mapping Class Groups and Related Topics", ed. by B. Farb, Proc. Symp. Pure Math. series, Amer. Math. Soc.
Andrzej Mas?owski
Bulletin of the Institute of Heat Engineering , 1971,
Abstract: New formulation of the optimal state function estimation problem of some class of space-time physical processes, based on deterministic dynamics and Observation model of the process as well as the propesed performance index of estimation has been presented.Properties and forms of dynamics and observation of the mathematical model of this class of processes, characterised by fixed space domain have been given.General optimal estimation problem with a functional form of the performance index which has been used as a measure of fit between the mathematical model and the real process has been defined. Because of that formulation main estimation problem into general dynamic optimisation problem has been transformed. Also the solution existance conditions as well as properties and problem of exact and approximate solution of the given general dynamic optimisation problem have been shortly discussed.Possability of using of the presented formalism for solving the problem of state function optimal estimation for some space-time dependent power reactor processes have been suggested.
The Thom Class and Localization of SUSY QM Generating Functional  [PDF]
O. Vana
Physics , 2001,
Abstract: We demonstrate the usage of explicit form of the Thom class found by Mathai and Quillen for the definition of generating functional of a simple supersymmetric quantum mechanical model.
A new class of entanglement measures  [PDF]
Oliver Rudolph
Physics , 2000, DOI: 10.1063/1.1398062
Abstract: We introduce new entanglement measures on the set of density operators on tensor product Hilbert spaces. These measures are based on the greatest cross norm on the tensor product of the sets of trace class operators on Hilbert space. We show that they satisfy the basic requirements on entanglement measures discussed in the literature, including convexity, invariance under local unitary operations and non-increase under local quantum operations and classical communication.
Invariant Radon measures on measured lamination space  [PDF]
Ursula Hamenstaedt
Mathematics , 2007, DOI: 10.1007/s00222-008-0163-5
Abstract: Let S be a non-exceptional oriented surface of finite type. We classify all Radon measures on the space of measured geodesic laminations for S which are invariant under the mapping class group.
Algorithmic tests and randomness with respect to a class of measures  [PDF]
Laurent Bienvenu,Peter Gacs,Mathieu Hoyrup,Cristobal Rojas,Alexander Shen
Mathematics , 2011,
Abstract: The paper considers quantitative versions of different randomness notions: algorithmic test measures the amount of non-randomness (and is infinite for non-random sequences). We start with computable measures on Cantor space (and Martin-Lof randomness), then consider uniform randomness (test is a function of a sequence and a measure, not necessarily computable) and arbitrary constructive metric spaces. We also consider tests for classes of measures, in particular Bernoulli measures on Cantor space, and show how they are related to uniform tests and original Martin-Lof definition. We show that Hyppocratic (blind, oracle-free) randomness is equivalent to uniform randomness for measures in an effectively orthogonal effectively compact class. We also consider the notions of sparse set and on-line randomness and show how they can be expressed in our framework.
Bohmian measures and their classical limit  [PDF]
Peter Markowich,Thierry Paul,Christof Sparber
Physics , 2009,
Abstract: We consider a class of phase space measures, which naturally arise in the Bohmian interpretation of quantum mechanics (when written in a Lagrangian form). We study the so-called classical limit of these Bohmian measures, in dependence on the scale of oscillations and concentrations of the sequence of wave functions under consideration. The obtained results are consequently compared to those derived via semi-classical Wigner measures. To this end, we shall also give a connection to the, by now classical, theory of Young measures and prove several new results on Wigner measures themselves. We believe that our analysis sheds new light on the classical limit of Bohmian quantum mechanics and gives further insight on oscillation and concentration effects of semi-classical wave functions.
The Natural Banach Space for Version Independent Risk Measures  [PDF]
Alois Pichler
Mathematics , 2013,
Abstract: Risk measures, or coherent measures of risk are often considered on the space L^\infty, and important theorems on risk measures build on that space. Other risk measures, among them the most important risk measure---the Average Value-at-Risk---are well defined on the larger space L^1 and this seems to be the natural domain space for this risk measure. Spectral risk measures constitute a further class of risk measures of central importance, and they are often considered on some L^p space. But in many situations this is possibly unnatural, because any L^p with p>p_0, say, is suitable to define the spectral risk measure as well. In addition to that risk measures have also been considered on Orlicz and Zygmund spaces. So it remains for discussion and clarification, what the natural domain to consider a risk measure is? Abstract This paper introduces a norm, which is built from the risk measure, and a Banach space, which carries the risk measure in a natural way. It is often strictly larger than its original domain, and obeys the key property that the risk measure is finite valued and continuous on that space in an elementary and natural way.
Feynman formulae and phase space Feynman path integrals for tau-quantization of some Lévy-Khintchine type Hamilton functions  [PDF]
Yana Butko,Martin Grothaus,Oleg Smolyanov
Mathematics , 2013,
Abstract: This note is devoted to representation of some evolution semigroups. The semigroups are generated by pseudo-differential operators, which are obtained by different (parametrized by a number $\tau$) procedures of quantization from a certain class of functions (or symbols) defined on the phase space. This class contains functions which are second order polynomials with respect to the momentum variable and also some other functions. The considered semigroups are represented as limits of $n$-fold iterated integrals when $n$ tends to infinity (such representations are called Feynman formulae). Some of these representations are constructed with the help of another pseudo-differential operators, obtained by the same procedure of quantization (such representations are called Hamiltonian Feynman formulae). Some representations are based on integral operators with elementary kernels (these ones are called Lagrangian Feynman formulae and are suitable for computations). A family of phase space Feynman pseudomeasures corresponding to different procedures of quantization is introduced. The considered evolution semigroups are represented also as phase space Feynman path integrals with respect to these Feynman pseudomeasures. The obtained Lagrangian Feynman formulae allow to calculate these phase space Feynman path integrals and to connect them with some functional integrals with respect to probability measures.
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