2,979 research outputs found
Isotropic functions revisited
To a smooth and symmetric function defined on a symmetric open set
and a real -dimensional vector space we
assign an associated operator function defined on an open subset
of linear transformations of , such that for
each inner product on , on the subspace
of -selfadjoint operators,
is the isotropic function associated to , which
means that , where denotes the
ordered -tuple of real eigenvalues of . We extend some well known
relations between the derivatives of and each to relations between
and . By means of an example we show that well known regularity
properties of do not carry over to .Comment: 13 pages. Added an example to show that loss of regularity is
possible. Extended the bibliography. Comments are welcom
Systematic co-occurrence of tail correlation functions among max-stable processes
The tail correlation function (TCF) is one of the most popular bivariate
extremal dependence measures that has entered the literature under various
names. We study to what extent the TCF can distinguish between different
classes of well-known max-stable processes and identify essentially different
processes sharing the same TCF.Comment: 31 pages, 4 Tables, 5 Figure
A Nearly Optimal Lower Bound on the Approximate Degree of AC
The approximate degree of a Boolean function is the least degree of a real polynomial that
approximates pointwise to error at most . We introduce a generic
method for increasing the approximate degree of a given function, while
preserving its computability by constant-depth circuits.
Specifically, we show how to transform any Boolean function with
approximate degree into a function on variables with approximate degree at least . In particular, if , then
is polynomially larger than . Moreover, if is computed by a
polynomial-size Boolean circuit of constant depth, then so is .
By recursively applying our transformation, for any constant we
exhibit an AC function of approximate degree . This
improves over the best previous lower bound of due to
Aaronson and Shi (J. ACM 2004), and nearly matches the trivial upper bound of
that holds for any function. Our lower bounds also apply to
(quasipolynomial-size) DNFs of polylogarithmic width.
We describe several applications of these results. We give:
* For any constant , an lower bound on the
quantum communication complexity of a function in AC.
* A Boolean function with approximate degree at least ,
where is the certificate complexity of . This separation is optimal
up to the term in the exponent.
* Improved secret sharing schemes with reconstruction procedures in AC.Comment: 40 pages, 1 figur
Rogers functions and fluctuation theory
Extending earlier work by Rogers, Wiener-Hopf factorisation is studied for a
class of functions closely related to Nevanlinna-Pick functions and complete
Bernstein functions. The name 'Rogers functions' is proposed for this class.
Under mild additional condition, for a Rogers function f, the Wiener--Hopf
factors of f(z)+q, as well as their ratios, are proved to be complete Bernstein
functions in both z and q. This result has a natural interpretation in
fluctuation theory of L\'evy processes: for a L\'evy process X_t with
completely monotone jumps, under mild additional condition, the Laplace
exponents kappa(q;z), kappa*(q;z) of ladder processes are complete Bernstein
functions of both z and q. Integral representation for these Wiener--Hopf
factors is studied, and a semi-explicit expression for the space-only Laplace
transform of the supremum and the infimum of X_t follows.Comment: 70 pages, 2 figure
Lagrangian Topology and Enumerative Geometry
We use the "pearl" machinery in our previous work to study certain
enumerative invariants associated to monotone Lagrangian submanifolds.Comment: 86 page
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