Nonlinear Diffusions and Image Processing

Speaker: 

Professor Patrick Guidotti

Institution: 

University of California, Irvine

Time: 

Thursday, October 30, 2008 - 3:00pm

Location: 

RH 340P

Since the seminal paper by Perona and Malik nonlinear diffusions have successfully been used for various image processing tasks. They also have attracted steadfast interest in the mathematical community. In this talk we will give an historical overview of the developments on the Perona-Malik equation and describe two new nonlinear diffusions which resolve the main mathematical shortcomings of Perona-Malik without sacrificing but rather enhancing the cherished practical qualities of the Perona-Malik model. The new equations, while
well-posed and purely diffusive, exhibit a non trivial dynamical behavior, which makes them mathematically interesting and practically
effective.

Can we predict turbulence and do wavelets help?

Speaker: 

Marie Farge

Institution: 

Ecole Normale Superieure Paris

Time: 

Thursday, December 4, 2008 - 4:00pm

Location: 

RH 306

Turbulence is a state of flows which is characterized by a combination of chaotic and random behaviours affecting a very large range of scales. It is governed by Navier-Stokes equations and corresponds to their solutions in the limit where the fluid viscosity becomes negligible, the nonlinearity dominant and the turbulent dissipation constant. In this regime one observes that fluctuations tend to self-organize into coherent structures which seem to have their own dynamics.

A prominent tool for multiscale decomposition are wavelets. A wavelet is a well localized oscillating smooth function, e.g. a wave packet, which is translated and dilated. The wavelet transform decomposes a flow field into scale-space contributions from which it can be reconstructed.

We will show how the wavelet transform can decompose turbulent flows into coherent and incoherent contributions presenting different statistical and dynamical properties. We will then propose a new way to analyze and predict the evolution of turbulent flows.

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The presentation will use different results obtained in collaboration with:

Kai Schneider (Universite de Provence, Marseille, France),
Naoya Okamoto, Katsunori Yoshimatsu and Yukio Kaneda (Nagoya University, Japan)

Related publications can be downloaded from the web page
http://wavelets.ens.fr

Physics-based models for measurement correlations

Speaker: 

Professor Ren Kui

Institution: 

UT Austin

Time: 

Monday, January 5, 2009 - 4:00pm

Location: 

RH 306

In inverse problems, when the forward map is a smoothing
(regularizing) operator,
the inverse map is usually unbounded. Thus only the low frequency
component of the object of interest is accessible from noisy measurements.
In many inverse problems however, the neglected high frequency component may
significantly affect the measured data. Using simple scaling arguments,
we characterize the influence of the high frequency component.
We will then show how to eliminate the effect of the high frequency
component in a one-dimensional inverse spectral problem to
obtain better reconstructions of the low frequency component of
the unknown. Numerical results with synthetic data will be presented.

Large Dispersion, Averaging and Attractors: Three One-dimensional Paradigms

Speaker: 

Professor Edriss Titi

Institution: 

UCI

Time: 

Tuesday, November 18, 2008 - 3:00pm

Location: 

RH 306

In this talk I will present some results concerning the
effect of large dispersion mechanism (given in the form of
$Lu_{xxx}$ or $iLu_{xx}$, where $L$ is a very large parameter) on
the long-time dynamics of dissipative evolution equations, such as
the one-dimensional complex Ginzburg-Landau and the
Kuramoto-Sivashinsky equations.

The domain of definition of the complex Monge-Ampere

Speaker: 

Professor Zbigniew Blocki

Institution: 

Jagiellonian University, Poland

Time: 

Tuesday, November 4, 2008 - 2:00pm

Location: 

RH 306

Bedford and Taylor showed in 1982 that the complex
Monge-Ampere operator can be well defined (as a regular measure) for locally bounded plurisubharmonic (psh) functions,
and is continuous (in the weak topology) for decreasing
sequences. On the other hand, it is known that this operator
cannot be well defined for all psh functions. We will give a
precise characterization of its domain of definition. It turns
out that in dimension 2 it consists precisely of those psh
functions that belong to the Sobolev space W^{1,2}_{loc}.
We will also discuss a related question on compact K\"ahler
manifolds.

Models for High-Power Pulsed Lasers

Speaker: 

Professor Nathan Kutz

Institution: 

University of Washington

Time: 

Monday, January 26, 2009 - 4:00pm

Location: 

RH 306

In general, there exist no analytical methods for quantitative analysis of the nonlinear propagation of ultrashort optical pulses in fiber, which underlies the operation of femtosecond-pulse fiber lasers. Such methods are needed now as the current generation of fiber lasers promise to greatly enhance the performance of practical instruments. In general, a pulse undergoes large changes in its temporal shape, spectral shape, and phase or frequency as it traverses a fiber laser, which in turn pose severe challenges to mathematical models. Self-similar pulse evolution is remarkable because monotonically-evolving, asymptotic solutions of the governing wave equation exist, despite the periodic boundary condition of a laser resonator. Highly-chirped pulse solutions can also exist in the presence of strong dissipation, and these so-called dissipative solitons represent a new class of laser pulses that offers remarkable behavior and performance. Quantitative models for lasers based on these pulses will be developed from first principles. These models will be studied in appropriate parameter regimes where simplified nonlinear dynamical systems theory can be utilized. In all cases, stability of the pulse solutions is the crucial issue. The theoretical efforts are highly interdisciplinary: combining asymptotic and perturbation methods, scientific computation, and rigorous mathematical analysis with models that are based on, and validated by, experimental observations.

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