24,162 research outputs found
Some remarks on circle action on manifolds
This paper contains several results concerning circle action on
almost-complex and smooth manifolds. More precisely, we show that, for an
almost-complex manifold (resp. a smooth manifold ), if there
exists a partition of weight such
that the Chern number (resp.
Pontrjagin number ) is nonzero,
then \emph{any} circle action on (resp. ) has at least
fixed points. When an even-dimensional smooth manifold admits a
semi-free action with isolated fixed points, we show that bounds,
which generalizes a well-known fact in the free case. We also provide a
topological obstruction, in terms of the first Chern class, to the existence of
semi-free circle action with \emph{nonempty} isolated fixed points on
almost-complex manifolds. The main ingredients of our proofs are Bott's residue
formula and rigidity theorem.Comment: 10 pages,to appear in Mathematical Research Letter
Circle action and some vanishing results on manifolds
Kawakubo and Uchida showed that, if a closed oriented -dimensional
manifold admits a semi-free circle action such that the dimension of the
fixed point set is less than , then the signature of vanishes. In this
note, by using -signature theorem and the rigidity of the signature
operator, we generalize this result to more general circle actions. Combining
the same idea with the remarkable Witten-Taubes-Bott rigidity theorem, we
explore more vanishing results on spin manifolds admitting such circle actions.
Our results are closely related to some earlier results of Conner-Floyd,
Landweber-Stong and Hirzebruch-Slodowy.Comment: 7 pages, typos corrected and minors modifie
On an algebraic formula and applications to group action on manifolds
We consider a purely algebraic result. Then given a circle or cyclic group of
prime order action on a manifold, we will use it to estimate the lower bound of
the number of fixed points. We also give an obstruction to the existence of
action on manifolds with isolated fixed points when is a
prime.Comment: 7 pages, revised slightly to update a new reference and reassign the
credit of the idea in this not
Josephson Oscillation and Transition to Self-Trapping for Bose-Einstein-Condensates in a Triple-Well Trap
We investigate the tunnelling dynamics of Bose-Einstein-Condensates(BECs) in
a symmetric as well as in a tilted triple-well trap within the framework of
mean-field treatment. The eigenenergies as the functions of the zero-point
energy difference between the tilted wells show a striking entangled star
structure when the atomic interaction is large. We then achieve insight into
the oscillation solutions around the corresponding eigenstates and observe
several new types of Josephson oscillations. With increasing the atomic
interaction, the Josephson-type oscillation is blocked and the self-trapping
solution emerges. The condensates are self-trapped either in one well or in two
wells but no scaling-law is observed near transition points. In particular, we
find that the transition from the Josephson-type oscillation to the
self-trapping is accompanied with some irregular regime where tunnelling
dynamics is dominated by chaos. The above analysis is facilitated with the help
of the Poicar\'{e} section method that visualizes the motions of BECs in a
reduced phase plane.Comment: 10 pages, 11 figure
Gaussian Approximation of Collective Graphical Models
The Collective Graphical Model (CGM) models a population of independent and
identically distributed individuals when only collective statistics (i.e.,
counts of individuals) are observed. Exact inference in CGMs is intractable,
and previous work has explored Markov Chain Monte Carlo (MCMC) and MAP
approximations for learning and inference. This paper studies Gaussian
approximations to the CGM. As the population grows large, we show that the CGM
distribution converges to a multivariate Gaussian distribution (GCGM) that
maintains the conditional independence properties of the original CGM. If the
observations are exact marginals of the CGM or marginals that are corrupted by
Gaussian noise, inference in the GCGM approximation can be computed efficiently
in closed form. If the observations follow a different noise model (e.g.,
Poisson), then expectation propagation provides efficient and accurate
approximate inference. The accuracy and speed of GCGM inference is compared to
the MCMC and MAP methods on a simulated bird migration problem. The GCGM
matches or exceeds the accuracy of the MAP method while being significantly
faster.Comment: Accepted by ICML 2014. 10 page version with appendi
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