Previous Conferences & Workshops

Apr
15
2019

Joint IAS/Princeton University Algebraic Geometry Seminar

The p-curvature conjecture in families
Ananth Shankar
5:00pm|Princeton University, Fine Hall 314

The p-curvature conjecture is an analogue of the Hasse principle for arithmetic differential equations. I will discuss this conjecture in the context of families of algebraic varieties, and among other things, demonstrate a proof of the p-curvature...

Apr
15
2019

Members’ Seminar

Etale and crystalline companions
2:00pm|Simonyi Hall 101

Deligne's "Weil II" paper includes a far-reaching conjecture to the effect that for a smooth variety on a finite field of characteristic p, for any prime l distinct from p, l-adic representations of the etale fundamental group do not occur in...

Apr
15
2019

Computer Science/Discrete Mathematics Seminar I

On the possibility of an instance-based complexity theory.
11:00am|Simonyi Hall 101

Worst-case analysis of algorithms has been the central method of theoretical computer science for the last 60 years, leading to great discoveries in algorithm design and a beautiful theory of computational hardness. However, worst-case analysis can...

Apr
11
2019

Joint IAS/Princeton University Number Theory Seminar

Sato-Tate groups of abelian threefolds
4:30pm|Princeton University, Fine Hall 214

The Sato-Tate group of an abelian variety A of dimension g defined over a number field is a compact real Lie subgroup of the unitary simplectic group of degree 2g that conjecturally governs the limiting distribution of the normalized Frobenius...

Apr
11
2019

Marston Morse Lectures

Fluctuations look like white noise
Laure Saint-Raymond
2:00pm|Simonyi Hall 101

At leading order, the fluctuations around the typical dynamics are described by the second cumulant. They actually satisfy a stochastic PDE with time-space white noise. Can we say more using higher order cumulants?

Apr
10
2019

Mathematical Conversations

How do computers do arithmetic, and should we believe the answers?
6:00pm|Dilworth Room

When designing the first computer built at IAS, von Neumann rejected floating-point arithmetic as neither necessary nor convenient. In 1997 William Kahan at Berkeley, who designed the famously accurate algorithms on Hewlett-Packard calculators, said...