96 research outputs found

    Analytic Solutions of the Teukolsky Equation and their Low Frequency Expansions

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    Analytic solutions of the Teukolsky equation in Kerr geometries are presented in the form of series of hypergeometric functions and Coulomb wave functions. Relations between these solutions are established. The solutions provide a very powerful method not only for examining the general properties of solutions and physical quantities when they are applied to, but also for numerical computations. The solutions are given in the expansion of a small parameter ϡ≑2MΟ‰\epsilon \equiv 2M\omega, MM being the mass of black hole, which corresponds to Post-Minkowski expansion by GG and to post-Newtonian expansion when they are applied to the gravitational radiation from a particle in circular orbit around a black hole. It is expected that these solutions will become a powerful weapon to construct the theoretical template towards LIGO and VIRGO projects.Comment: 24 pages, minor modification

    Analytic Solutions of the Regge-Wheeler Equation and the Post-Minkowskian Expansion

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    Analytic solutions of the Regge-Wheeler equation are presented in the form of series of hypergeometric functions and Coulomb wave functions which have different regions of convergence. Relations between these solutions are established. The series solutions are given as the Post-Minkowskian expansion with respect to a parameter ϡ≑2MΟ‰\epsilon \equiv 2M\omega, MM being the mass of black hole. This expansion corresponds to the post-Newtonian expansion when they are applied to the gravitational radiation from a particle in circular orbit around a black hole. These solutions can also be useful for numerical computations.Comment: 22 page

    A measure-on-graph-valued diffusion: a particle system with collisions, and their applications

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    A diffusion taking value in probability measures on a graph with a vertex set VV, βˆ‘i∈VxiΞ΄i\sum_{i\in V}x_i\delta_i, is studied. The masses on each vertices satisfy the stochastic differential equation of the form dxi=βˆ‘j∈N(i)xixjdBijdx_i=\sum_{j\in N(i)}\sqrt{x_ix_j}dB_{ij} on the simplex, where {Bij}\{B_{ij}\} are independent standard Brownian motions with skew symmetry and N(i)N(i) is the neighbour of the vertex ii. A dual Markov chain on integer partitions to the Markov semigroup associated with the diffusion is used to show that the support of an extremal stationary state of the adjoint semigroup is an independent set of the graph. We also investigate the diffusion with a linear drift, which gives a killing of the dual Markov chain on a finite integer lattice. The Markov chain is used to study the unique stationary state of the diffusion, which generalizes the Dirichlet distribution. Two applications of the diffusions are discussed: analysis of an algorithm to find an independent set of a graph, and a Bayesian graph selection based on computation of probability of a sample by using coupling from the past.Comment: 30 pages, 3 figure
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