25-01-2019 |
Prof. Eduard Feireisl, Czech Academy of Sciences |
Title of the mini-course: Mathematical Aspects of Euler Equations.
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30-01-2019 |
Prof. Eduard Feireisl, Czech Academy of Sciences |
Title of the mini-course: Mathematical Aspects of Euler Equations.
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25-01-2019 |
Prof. Eduard Feireisl, Czech Academy of Sciences |
Title of the mini-course: Mathematical Aspects of Euler Equations.
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24-01-2019 |
Prof. Eduard Feireisl, Czech Academy of Sciences |
Title of the mini-course: Mathematical Aspects of Euler Equations.
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24-01-2019 |
Prof. Eduard Feireisl, Czech Academy of Sciences |
Title of the mini-course: Mathematical Aspects of Euler Equations.
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25-01-2019 |
Prof. Tony Puthenpurakal. |
Introduction to Algebraic K Theory.
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23-01-2019 |
Mathematics Colloquium |
Symmetry and symmetry breaking: rigidity and flows for PDEs and for
inequalities
In this talk, I will review recent results about how the use of
linear and nonlinear flows has been key to prove functional inequalities
and qualitative properties for their extremal functions. I will also
explain how from these inequalities and their best constants, optimal
spectral estimates can be obtained for Schrodinger operators. This is a
topic which is at the crossroads of nonlinear analysis and probability,
with implications in differential geometry and potential applications in
modelling in physics and biology.
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16-01-2019 |
Mathematics Colloquium |
Title of the talk: Solving integer-differential problems with Lanczos'
spectral Tau method
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18-01-2019 |
Prof. Dominique Guillot, University of Delaware, USA |
Totally nonnegative GCD matrices and kernels
Let X=(x_1, ... ,x_n) be a vector of distinct positive integers. The n x n
matrix with ij-th entry equal to gcd(x_i,x_j), the greatest common divisor of x_i
and x_j, is called the GCD matrix on X. By a surprising result of Beslin and Ligh
(1989), all GCD matrices are positive definite. In this talk, we will discuss new
characterizations of the GCD matrices satisfying the stronger property of being
totally nonnegative (i.e., all their minors are nonnegative). Joint work with Lucas
Wu (U. Delaware).
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11-01-2019 |
Dr. Mrinal Kumar, Simons Institute for the Theory of Computing, Berkeley, USA. |
Some closure results for polynomial factorization and applications
In a sequence of seminal results in the 80's, Kaltofen showed
that if an n-variate polynomial of degree poly(n) can be computed by an
arithmetic circuit of size poly(n), then each of its factors can also be
computed an arithmetic circuit of size poly(n). In other words,
the complexity class VP (the algebraic analog of P) of polynomials, is
closed under taking factors.
A fundamental question in this line of research, which has largely
remained open is to understand if other natural classes of
multivariate polynomials, for instance, arithmetic formulas, algebraic
branching programs, constant depth arithmetic circuits or the
complexity class VNP (the algebraic analog of NP) of polynomials, are
closed under taking factors. In addition to being fundamental
questions on their own, such 'closure results' for polynomial
factorization play a crucial role in the understanding of hardness
randomness tradeoffs for algebraic computation.
I will talk about the following two results, whose study was motivated
by these questions.
1. The class VNP is closed under taking factors. This proves a
conjecture of B{\"u}rgisser.
2. All factors of degree at most poly(log n) of polynomials with
constant depth circuits of size
poly(n) have constant (a slightly larger constant) depth arithmetic
circuits of size poly(n).
This partially answers a question of Shpilka and Yehudayoff and has
applications to hardness-randomness tradeoffs for constant depth
arithmetic circuits. Based on joint work with Chi-Ning Chou and Noam
Solomon.
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