Calendar

Oct
16
Wed
Luana @ Keller 318
Oct 16 @ 3:30 pm – 4:00 pm

The Department of Mathematics & Manoa Math Ohana  Invite you to Luana in the Afternoon Refreshments provided. All students and faculty welcome.

luana. Hawaiian. v. To be at leisure, enjoy pleasant surroundings and associates, enjoy oneself, relax, be content.

Oct
17
Thu
Image Analysis Seminar @ Keller 402
Oct 17 @ 3:30 pm – 4:30 pm

SPEAKER: Erica Brown (U. Hawai`i, Mathematics)

TITLE:The Fast Fourier Transform for Nonequispaced Data.

Schedule available at http://math.hawaii.edu/~sarah/ImageAnalysis.html

Oct
18
Fri
Colloquium-Bernhard Hanke (U. Augsburg) @ Keller 401
Oct 18 @ 3:30 pm – 4:30 pm

Speaker: Bernhard Hanke (U. Augsburg)

Title: Positive scalar curvature: Existence and classification

Abstract: The volumes of balls in curved spaces are in general different from the volumes of
balls of the same radius in flat, Euclidean space. This deviation leads to the
notion of scalar curvature. If the scalar curvature is positive, the local geometry of the
underlying space is similar, in a very rough sense, to the spherical case.

We will give an overview of questions, techniques and results linked with the
investigation of manifolds of positive scalar curvature.

Oct
25
Fri
Colloquium- Tamas Forgacs (Fresno State) @ Keller 401
Oct 25 @ 3:30 pm – 4:30 pm

Speaker: Tamas Forgacs (Fresno State)

Title: Parallel approaches and some open problems in the theory of multiplier sequences

Abstract: In 1914, Polya and Schur introduced, and completely characterized multiplier sequences of the first and second kind. Following their work, there were numerous efforts to better understand these objects. Broadly speaking, these efforts fall into two categories: (i) those investigating intrinsic properties of such sequences, and (ii) those looking at these objects as linear operators on R[x]. In this talk we will outline some connections between these approaches, discuss some recent results, and state a few titillating conjectures.

Oct
30
Wed
Luana @ Keller 318
Oct 30 @ 3:30 pm – 4:00 pm

The Department of Mathematics & Manoa Math Ohana  Invite you to Luana in the Afternoon Refreshments provided. All students and faculty welcome.

luana. Hawaiian. v. To be at leisure, enjoy pleasant surroundings and associates, enjoy oneself, relax, be content.

Nov
1
Fri
Colloquium: Pamela Harris (Williams)
Nov 1 @ 3:30 pm – 4:30 pm
Nov
8
Fri
Colloquium- Yevhen Zelenyuk @ Keller 401
Nov 8 @ 3:30 pm – 4:30 pm

Speaker: Yevhen Zelenyuk (Wits. University)

Title: Discontinuity of multiplication and left translations in $G^{LUC}$

Abstract: Every locally compact group $G$ has a largest semigroup
compactification, denoted $G^{LUC}$. For every $p\in G$ and $q\in G^{LUC}$,
the multiplication in $G^{LUC}$ is continuous at $(p,q)$ (Ellis 1957), and
for every $p\in G^*=G^{LUC}\setminus G$, the left translation by $p$ in
$G^*$ is discontinuous (Protasov and Pym 2001). We shall discuss the
question whether there are $p,q\in G^*$ such that the multiplication in
$G^{LUC}$ is continuous at $(p,q)$ or the left translation by $p$ in $G^*$
is continuous at $q$.

Nov
13
Wed
Semnar Chekroun @ Keller Hall
Nov 13 @ 3:30 pm – 4:30 pm

Title: On stochastic parameterizing manifolds: Pullback characterization and Non-Markovian reduced equations

Abstract: In this talk, a general approach to provide approximate parameterizations of the “small” scales by the “large” ones, will be presented for stochastic partial differential equations (SPDEs) driven by linear multiplicative noise. This is accomplished via the concept of parameterizing manifolds (PMs) that are stochastic manifolds which improve in mean square error the partial knowledge of the full SPDE solution u when compared to the projection of u onto the resolved modes, for a given realization of the noise.
Backward-forward systems are designed to give access to such PMs in practice. The key idea consists of representing the modes with high wave numbers (as parameterized by the sought PM) as a pullback limit depending on the time-history of the modes with low wave numbers.
The resulting manifolds obtained by such a procedure are not subject to a spectral gap condition such as encountered in the classical theory. Instead, certain PMs can be determined under weaker non-resonance conditions.
Non-Markovian stochastic reduced systems are then derived based on such a PM approach. Such reduced systems take the form of SDEs involving random coefficients that convey memory effects via the history of the Wiener process, and arise from the nonlinear interactions between the low modes, embedded in the “noise bath.” These random coefficients follow typically non-Gaussian statistics and exhibit an exponential decay of correlations whose rate depends explicitly on gaps arising in the non-resonances conditions.
It is shown on a stochastic Burgers-type equation, that such PM-based reduced systems can achieve very good performance in reproducing statistical features of the SPDE dynamics projected onto the resolved modes, such as the autocorrelations and probability functions of the corresponding modes amplitude, even when the latter is large and the amount of noise is significant.