7,929 research outputs found
-adic properties of coefficients of weakly holomorphic modular forms
We examine the Fourier coefficients of modular forms in a canonical basis for
the spaces of weakly holomorphic modular forms of weights 4, 6, 8, 10, and 14,
and show that these coefficients are often highly divisible by the primes 2, 3,
and 5.Comment: 16 page
Zeros of modular forms of half integral weight
We study canonical bases for spaces of weakly holomorphic modular forms of
level 4 and weights in and show that almost all
modular forms in these bases have the property that many of their zeros in a
fundamental domain for lie on a lower boundary arc of the
fundamental domain. Additionally, we show that at many places on this arc, the
generating function for Hurwitz class numbers is equal to a particular mock
modular Poincar\'{e} series, and show that for positive weights, a particular
set of Fourier coefficients of cusp forms in this canonical basis cannot
simultaneously vanish
Monetary Policy and Uncertainty
Central banks must cope with considerable uncertainty about what will happen in the economy when formulating monetary policy. This article describes the different types of uncertainty that arise and looks at examples of uncertainty that the Bank has recently encountered. It then reviews the strategies employed by the Bank to deal with this problem. The other articles in this special issue focus on three of these major strategies.
Zeros of weakly holomorphic modular forms of levels 2 and 3
Let be the space of weakly holomorphic modular forms for
that are holomorphic at all cusps except possibly at . We
study a canonical basis for and and prove that
almost all modular forms in this basis have the property that the majority of
their zeros in a fundamental domain lie on a lower boundary arc of the
fundamental domain.Comment: Added a reference, corrected typo
An asymptotic sampling formula for the coalescent with Recombination
Ewens sampling formula (ESF) is a one-parameter family of probability
distributions with a number of intriguing combinatorial connections. This
elegant closed-form formula first arose in biology as the stationary
probability distribution of a sample configuration at one locus under the
infinite-alleles model of mutation. Since its discovery in the early 1970s, the
ESF has been used in various biological applications, and has sparked several
interesting mathematical generalizations. In the population genetics community,
extending the underlying random-mating model to include recombination has
received much attention in the past, but no general closed-form sampling
formula is currently known even for the simplest extension, that is, a model
with two loci. In this paper, we show that it is possible to obtain useful
closed-form results in the case the population-scaled recombination rate
is large but not necessarily infinite. Specifically, we consider an asymptotic
expansion of the two-locus sampling formula in inverse powers of and
obtain closed-form expressions for the first few terms in the expansion. Our
asymptotic sampling formula applies to arbitrary sample sizes and
configurations.Comment: Published in at http://dx.doi.org/10.1214/09-AAP646 the Annals of
Applied Probability (http://www.imstat.org/aap/) by the Institute of
Mathematical Statistics (http://www.imstat.org
Computational inference beyond Kingman's coalescent
Full likelihood inference under Kingman's coalescent is a computationally challenging problem to which importance sampling (IS) and the product of approximate conditionals (PAC) method have been applied successfully. Both methods can be expressed in terms of families of intractable conditional sampling distributions (CSDs), and rely on principled approximations for accurate inference. Recently, more general Λ- and Ξ- coalescents have been observed to provide better modelling ts to some genetic data sets. We derive families of approximate CSDs for nite sites Λ- and Ξ-coalescents, and use them to obtain "approximately optimal" IS and PAC algorithms for Λ coalescents, yielding substantial gains in efficiency over existing methods
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