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Title: A class of bi-contractive projections on Banach spaces — something old, something new, something borrowed, something blue, Part II Speaker: Priyadarshi Dey Time: 4:00pm–5:00pm Place: CMC 130
No seminar this week due to the Thanksgiving holiday.
Title: A class of bi-contractive projections on Banach spaces — something old, something new, something borrowed, something blue Speaker: Priyadarshi Dey Time: 4:00pm–5:00pm Place: CMC 130
A projection \(P\) is called bi-contractive if \(\|P\|\) and \(\|I-P\|\) are both 1. In this talk we are going to see a class of bi-contractive projection on Banach spaces, namely the Hermitian projections. We say that a projection \(P\) is a Hermitian projection if the operator \(e^{itP}\) is a surjective isometry for all real \(t\). One of the main problems is to give an explicit description of Hermitian projections on different Banach spaces. It has been well studied for many classical Banach spaces and Banach algebras as well. In this talk, forms of such projections will be mentioned for some Banach spaces. Also, specifically, I will talk about the form of such projections on the space \(B(X,Y)\) for Banach spaces \(X\) and \(Y\) with certain properties. This is a joint work with Fernanda Botelho and Dijana Iliševi?.
Title: A gentle introduction to noncommutative functional analysis; or, optimal polynomial approximants in free analysis, Part III Speaker: Meric Augat Time: 4:00pm–5:00pm Place: CMC 130
Title: A gentle introduction to noncommutative functional analysis; or, optimal polynomial approximants in free analysis, Part II Speaker: Meric Augat Time: 4:00pm–5:00pm Place: CMC 130
Title: A gentle introduction to noncommutative functional analysis; or, optimal polynomial approximants in free analysis Speaker: Meric Augat Time: 4:00pm–5:00pm Place: CMC 130
Noncommutative Functional Analysis (in certain contexts, also known as Free Analysis), is a burgeoning subfield of complex analysis and operator theory that aims to understand noncommutative \(nc\) functions by studying their evaluations on different \(nc\) objects. Of particular interest are evaluations on matrices (of all sizes) and bounded operators on a separable Hilbert space.
Curiously, many classical theorems in analysis can be naturally extended to an analogue in free analysis that is stronger; for example, the Free Inverse Function Theorem is a stronger statement than its classical counterpart. Moreover, from the perspective of operator theory, the \(nc\) shift within the full Fock space is a more faithful multivariable analogue of the unilateral shift within the Hardy space than, say, the Arveson \(d\)-shift within the Drury-Arveson space.
In this talk we introduce the basics of nc functions, the full Fock space (an \(nc\) analogue of the Hardy space) and the row ball (the corresponding analogue of the disk). These ideas lead naturally to the definition of an \(nc\) optimal polynomial approximant, both scalar-valued and matrix-valued.
Subsequently, we'll try our hand at \(nc\) algebra in order to establish one of the main tools of \(nc\) functional analysis: the realization of an \(nc\) rational function. Remarkably, the very algebraic realizations still capture critical analytic information about a function leading us to our main result: that the norm defect of our \(nc\) optimal polynomial approximant decays to zero if and only if the approximated function is nonzero on the row ball.
Title: On the Image Counting Problem from Gravitational Lensing, Part III Speaker: Sean Perry Time: 4:00pm–5:00pm Place: CMC 130
Title: On the Image Counting Problem from Gravitational Lensing, Part II Speaker: Sean Perry Time: 4:00pm–5:00pm Place: CMC 130
Title: On the Image Counting Problem from Gravitational Lensing Speaker: Sean Perry Time: 4:00pm–5:00pm Place: CMC 130
Light follows a path through spacetime determined by the mass therein. When strong enough, this effect may cause the appearance of multiple images of a single light source. Images appear at the critical points of a time-delay function which depend on the source location, the distribution of mass, and other physical parameters of the space through which the light travels. In the point-mass, multiplane approximation of strong-microlensing, these correspond to the zeros of a system of complex rational functions. The “image-counting problem” is a simple question with no simple answer: given a particular ensemble, how many images will be seen? Here, we will discuss upper and lower bounds on this number, some experiments with random distributions, and the construction of a multiplane ensemble with an abundance of images.