201718 Milliman Lectures

Martin Hairer
Chair in Probability and Stochastic Analysis Imperial College London
Lecture I  Bridging scales: from microscopic dynamics to macroscopic laws One fascinating aspect of probability theory is the universal aspect of the objects it allows us to construct. The most wellknown example of this phenomenon is the central limit theorem: for a very large class of collections of random variables, additive functionals that only depend weakly on any one element of the collection exhibit Gaussian behaviour in the limit. When taking time evolution into account, it turns out that in certain "crossover regimes" the largescale behaviour of a number of stochastic systems can formally be described by an illposed stochastic PDE.
Video: https://youtu.be/8ITmBUa7ba0
Lecture II  An analyst’s incursion into quantum field theory In quantum field theory, scattering amplitudes are described by sums over terms described by Feynman diagrams. In many cases, these are meant to describe singular divergent integrals, so it is not clear how they should be interpreted and whether different interpretations are equivalent. In the Euclidean context, we turn this into a clean problem of real analysis and show how algebraic techniques allow to tackle it.
Video: https://youtu.be/JR1zMqZDqkI
Lecture III  Renormalization: a BPHZ theorem for stochastic PDEs We show how some of the ideas explored in the previous two lectures can be applied to the study of singular stochastic PDEs. In particular, we show that although it is not clear a priori what it means to "solve" any particular one of these equations, they can be divided into finitedimensional families of solutions that are themselves defined in a canonical way. This is a consequence of a version of the celebrated "BPHZ theorem" which governs renormalisation techniques in perturbative QFT.
Video: https://youtu.be/LpEsOK0NqEc
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20162017 Milliman Lectures

Fan Chung
Distinguished Professor of Mathematics and Computer Science University of California, San Diego
Lecture I: Can you hear the shape of a network? New directions in spectral graph theory We will discuss some recent developments in several new directions of spectral graph theory, including random walks for directed graphs, ranking algorithms, network games, graph limits and graphlets, for example.
Lecture II: 'Sequences: random, structured or something in between?' There are many fundamental problems concerning sequences that arise in many areas of mathematics and computation. Typical problems include finding or avoiding patterns; testing or validating various 'randomlike' behavior; analyzing or comparing different statistics, etc. In this talk, we will examine various notions of regularity or irregularity for sequences and mention numerous open problems.
Lecture III: Semigroup Spectral Theory and Graph Coloring Games We consider a coloring game on graphs as an example to illustrate the effectiveness of the semigroup spectral method for determining the spectrum of the directed graphs which arise as the state graphs associated with the game. Originating from the study of the socalled Tsetlin library random walks and the like, this method can be used to analyze dynamic processes such as voting and ranking, provided the random processes satisfy certain "memoryless" conditions (corresponding to leftregularband semigroups).
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20152016 Milliman Lectures

Curtis McMullen
Cabot Professor of Mathematics Harvard University
A series of three lectures presenting unexpected interactions between lowdimensional dynamics, complex analysis and algebraic geometry.
Lecture I: Billiards and Moduli Spaces Video: https://youtu.be/Unb_TeVFwl8
Lecture II: Entropy, Integers and Algebraic Dynamics Video: https://youtu.be/DXH64KCnuo
Lecture III: Surfaces in the Space of Surfaces Video: https://youtu.be/mSV5ytQMstE
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20152016 Milliman Lectures

Laure SaintRaymond
Professor of Mathematics Pierre & Marie Curie University (Paris VI), and École Normale Supérieure
A series of three lectures entitled From Particle Systems to Kinetic Equations
Lecture I: The low density limit: formal derivation Consider a deterministic system of N hard spheres of diameter ε. Assume that they are initially independent and identically distributed. Then, in the limit when N→∞ and ε→0 with Nε^{d1}=1 (BoltzmannGrad scaling), the oneparticle density can be approximated by the solution to the kinetic Boltzmann equation. In particular, particles remain asymptotically independent. In the first lecture, we will present the formal derivation of this low density limit, and discuss two important features, namely the propagation of chaos and the appearance of irreversibility.
Video: https://youtu.be/_8JbWWZPAI
Lecture II: A short time convergence result Lanford's theorem states that in the BoltzmannGrad limit the oneparticle density converges to the solution of the kinetic Boltzmann equation almost everywhere on a short time interval (corresponding actually to a fraction of the average first collision time). The proof relies on a careful study of the recollision mechanism (which is not described by the Boltzmann dynamics), and on a priori bounds obtained by a CauchyKowalewski argument. In the second lecture, we will give a sketch of this proof, and show that the time restriction is due to the lack of global a priori bounds.
Video: https://youtu.be/S6JKI370gh0
Lecture III: The case of fluctuations around a global equilibrium To improve the convergence time, the idea is therefore to consider situations where one can obtain global a priori bounds. Since the system of particles is Hamiltonian, the Gibbs measures are invariant under the flow and provide constant solutions to the Boltzmann equation. By perturbation, we get initial data leading to linear kinetic equations. In the third lecture, we will show that, for such initial data, we can control a priori the collision rate, and extend Lanford's strategy to get a quasiglobal convergence result in the low density limit.
Video: https://youtu.be/_H3DxJBqWcw
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20142015 Milliman Lectures

Richard M. Schoen
Distinguished Professor and Excellence in Teaching Endowed Chair University of California, Irvine
Lecture I: Problems and progress in mathematical relativity The Einstein equations were invented to unify gravity and special relativity. The theory of curved space times evolving under the Einstein evolution equations leads to a unique set of mathematical problems which lie in the fields of differential geometry and partial differential equations of elliptic, hyperbolic, and parabolic type. This lecture will survey some of these problems with emphasis on topics of current interest for which progress is being made. It is intended for a general audience.
Video: https://www.youtube.com/embed/jBjOVFGEhZE
Lecture II: Two eigenvalue problems for surfaces The problem of finding surface geometries (metrics) of a given area which maximize their lowest eigenvalue has been studied for over 50 years. Despite some spectacular successes the problem is still not well understood for most surfaces. In this colloquium lecture we will describe this question and the results which have been obtained. We will also describe a related problem for surfaces with boundary. Both of these questions lead to geometric descriptions of extremal metrics as minimal surfaces and thus lead to a new set of minimal surfaces questions.
Video: https://www.youtube.com/embed/Tvs0Q_wrl4Y
Lecture III: Localizing solutions of the Einstein equations In general it is not possible to localize solutions of the Einstein equations since there are asymptotic conserved quantities such as the total mass which are nonzero for every nontrivial spacetime. In this lecture we will describe recent work with A. Carlotto which achieves a localization in cones and leads to new constructions of noninteracting superpositions of solutions.
Video: https://www.youtube.com/embed/H7z6m1TzOt4
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20132014 Milliman Lectures

Michael J. Hopkins
Professor of Mathematics Harvard University
Lecture I: ChernWeil theory and abstract homotopy theory I will describe how abstract homotopy theory can be used to define and describe the natural invariants associated to a connection. The formulation recovers the classical ChernWeil theory associating a characteristic class to an invariant polynomial on the Lie algebra.
Video: https://youtu.be/SAmHQu20gz4
Lecture II & III: Topological Path integrals (Ambidexterity? Analogies with Ktheory?) Many topological quantum field theories are constructed from a classical action which is topologically invariant in the sense that it does not involve metric terms. But so far there are no purely topological means of forming the path integral and thereby constructing the theory. In this talk I will discuss some tools coming from chromatic homotopy theory for approaching this problem.
Video: https://youtu.be/9DLwFhcEmYw Video: https://youtu.be/RdYNabzzhLo
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20122013 Milliman Lectures

Bernd Sturmfels
Professor of Mathematics, Statistics, and Computer Science University of California, Berkeley
Lecture I: Convex Algebraic Geometry We introduce convex bodies with an interesting algebraic structure. A primary focus lies on the geometry of semidefinite optimization. Starting with elementary questions about ellipses in the plane, we move on to discuss the geometry of spectrahedra, orbitopes, and convex hulls of real varieties. This lecture has many beautiful pictures and can be enjoyed by undergraduate students.
Video: https://youtu.be/MKv8z4zyJ8
Lecture II: Maximum Likelihood for Matrices with Rank Constraint Maximum likelihood estimation is a fundamental computational task in statistics. We discuss this problem for manifolds of low rank matrices. These represent mixtures of independent distributions of two discrete random variables. This nonconvex optimization problems leads to some beautiful geometry, topology, and combinatorics. We explain how numerical algebraic geometry is used to find the global maximum of the likelihood function, and we present a remarkable duality theorem due to Draisma and Rodriguez.
Video: https://youtu.be/CM3hdOxpj10
Lecture III: Tropicalization of Classical Moduli Spaces Algebraic geometry is the study of solutions sets to polynomial equations. Solutions that depend on an infinitesimal parameter are studied combinatorially by tropical geometry. Tropicalization works especially well for varieties that are parametrized by monomials in linear forms. Many classical moduli spaces (for curves of low genus and few points in the plane) admit such a representation, and we here explore their tropical geometry. Examples to be discussed include the Segre cubic, the Igusa quartic, the Burkhardt quartic, and moduli of marked del Pezzo surfaces. Matroids, hyperplane arrangements, and Weyl groups play a prominent role. Our favorites are E6, E7 and G32.
Video: https://youtu.be/WKoi5Mu2dsE
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20112012 Milliman Lectures

Wendelin Werner
Professor of Mathematics Université ParisSud
A series of three lectures entitled Aspects of Conformal Invariant Randomness
Lecture I: The Global Picture In this lecture, I will try to give an overview of some of the main ideas and results in the general area of twodimensional random models  including the discussion of conformal invariance of discrete models, Schramm's SLE processes and their generalizations, planar maps, and some open questions.
Video: https://youtu.be/acwabBW1xv4
Lecture II: Introduction to the Gaussian Free Field In this lecture, I will give an introduction to the Gaussian Free Field, its properties and how it can be related to SLE processes, and Conformal Loop Ensembles.
Video: https://youtu.be/U7x65PhWyGY
Lecture III: Conformal Loop Ensembles In this third lecture, I will focus more on some properties of the Conformal Loop Ensembles, including their precise relation to SLE and Brownian Loops.
Video: https://youtu.be/MBtSD1gHEs
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20102011 Milliman Lectures

Richard Taylor
Herchel Smith Professor of Mathematics Harvard University
Lecture I: Reciprocity Laws and Density Theorems If one fixes a polynomial (or a system of polynomials) in one or more variables, one can ask how the number of solutions modulo a prime number p varies with the prime p. Reciprocity laws give a formula involving completely different areas of mathematics (discrete subgroups of Lie groups). Density theorems give statistical information on how the number of solutions varies with p. In the first lecture I will present a leisurely historical introduction to reciprocity laws and density theorems, starting with Gauss' law of quadratic reciprocity and finishing with the SatoTate conjecture. This lecture will also sketch Serre's approach to deducing density theorems from reciprocity laws.
Lecture II: Galois Representations In the second lecture I will talk about a more general framework for discussing reciprocity laws. I will introduce Galois representations, Lfunctions and automorphic forms, and discuss their relevance in number theory. I will describe Langlands' very general reciprocity conjecture and the FontaineMazur conjecture.
Lecture III: Automorphy I will describe what we currently know about general reciprocity theorems. I will give some indication of the techniques we have and what I see as the main stumbling blocks to further progress.
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20092010 Milliman Lectures

Nick Trefethen
Professor of Numerical Analysis Oxford University
Lecture I: Four Bugs on a Rectangle (and the Biggest Numbers You've Ever Seen) Suppose four bugs at the corners of a 2 x 1 rectangle start chasing each other at speed 1. Bug 1 chases bug 2, bug 2 chases bug 3, and so on. What happens next will amaze you  or at least it amazed me! As we follow the bugs to their eventual collision at the center, we will encounter the biggest numbers you've probably ever seen and confront some fundamental questions about what it means to try to understand our world through mathematics.
Video: https://youtu.be/ukZdM7aUS8E
Lecture II: Approximation Theory in One Hour My first love was approximation theory, and during my current sabbatical I have returned to this subject to write a book called Approximation Theory and Approximation Practice. This talk will be a fast tour of about twenty of the main theorems of this book (with a handout), each illustrated by chebfun computations on the computer. We will see vividly how approximation ideas are at the heart of all kinds of practical computational problems including quadrature, rootfinding, and solution of differential equations. This is the accompanying handout for this lecture.
Video: https://youtu.be/PggLWg753Y
Lecture III: You Can't Beat Gibbs and Runge Suppose you sample an analytic function f in n equispaced points in [1,1]. Can you use this data to approximatef in a manner that converges exponentially as n → ∞? Many algorithms have been proposed that are effective for moderate values of n, but we prove that they must all fail in the limit n → ∞: exponential convergence implies exponential instability. This is joint work with Rodrigo Platte and Arno Kuijlaars.
Video: https://youtu.be/K1RUvR6Vau0
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20082009 Milliman Lectures

Andrei Okounkov
Professor of Mathematics Princeton University
A series of three lectures entitled Applied Noncommutative Geometry
Abstract: Noncommutative projective geometry deals with noncommutative algebras that, in a certain technical sense, are just as good as polynomials.
Their study was begun by M. Artin and W. Schelter over twenty years ago and grew into a rich and fascinating subject since. In these lectures, I will explain some applications of this theory to such basic mathematical objects as linear difference equations. These difference equations are of direct probabilistic interest (which will be also explained in the lectures) and thus noncommutative algebraic surfaces shed light on the behavior of random stepped surfaces.
Lecture I: https://youtu.be/YF2dYDToe38
Lecture II: https://youtu.be/fZqitUVVFwM
Lecture III: https://youtu.be/fzJEjYxsd2o
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20072008 Milliman Lectures

Terence Tao
Professor of Mathematics University of California, Los Angeles
A series of three lectures entitled Recent Developments in Arithmetic Combinatorics
Lecture I: Additive Combinatorics and the Primes Given a set A of N integers, how many additive patterns (e.g. arithmetic progressions of length three) does A have? The answer depends of course on the nature of A. At one extreme are sets with very strong additive structure, such as the arithmetic progression {1,..., N}, which tend to have many additive patterns. At the other extreme are "random" sets A, which tend to have relatively few additive patterns. Understanding and classifying these two extremes, and the extent to which an arbitrary set lies between these extremes, is a major topic of additive combinatorics today. Recent progress on these questions has led to applications in number theory, particularly regarding the question of detecting additive patterns in the primes; in particular, I will discuss my result with Ben Green that the primes contain arbitrarily long arithmetic progressions.
Video: https://youtu.be/Lz3JG_V6fQ
Lecture II: Additive Combinatorics and Random Matrices The theory of random continuous matrices (such as the gaussian unitary ensemble or GUE), and in particular the study of their eigenvalues, is an intensively studied and wellunderstood subject. In contrast, the theory of random discrete matrices, such as the Bernoulli ensemble in which each entry of the matrix equals +1 and 1 with equal probability, is only just now being developed. Much of the recent progress relies on an understanding of the distribution of discrete random walks, and in particular on solving the inverse LittlewoodOfford problem. This in turn requires the use of tools from additive combinatorics, such as the geometry of multidimensional arithmetic progressions, and Freiman's inverse theorem. I will survey these developments, which include joint work of myself with Van Vu.
Video: https://youtu.be/XaDJIddgyQE
Lecture III: Sumproduct Estimates, Expanders, and Exponential Sums Consider a finite set A of elements in a ring or field. This set might be "almost closed under addition", which for instance occurs when A is an arithmetic progression such as {1,..., N}. Or it may be "almost closed under multiplication", which for instance occurs when A is a geometric progression such as {1, a,..., a^{N}}. But it is difficult for A to be almost closed under addition and multiplication simultaneously, unless it is very close to a subring or subfield. The emerging field of sumproduct estimates in arithmetic combinatorics seeks to establish strong inequalities to quantify this phenomenon. Recent breakthroughs in this area by Bourgain and coauthors, based primarily on Fourier analysis and additive combinatorial tools, have yielded new exponential sum and sieve estimates in number theory, new randomness extractors in computer science, and new constructions of expander graphs in combinatorics. This lecture will be a survey of several of these developments.
Video: https://youtu.be/iLvAG2CeBN8
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20062007 Milliman Lectures

Richard Hamilton
Professor of Mathematics Columbia University
Lecture I: Geometrization of ThreeDimensional Spaces Video: https://youtu.be/BuSLy5OQctk
Lecture II: The Ricci Flow on Kahler Manifolds Video: https://youtu.be/EMxSoOLDIs
Lecture III: Estimates for the Ricci Flow Video: https://youtu.be/kuFdcvi5v54
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20052006 Milliman Lectures

Timothy Gowers
Rouse Ball Professor of Mathematics Cambridge University
Lecture I: Some Theorems and Open Problems in Arithmetic Combinatorics Arithmetic combinatorics is the name that has been given to a thriving new area of mathematics, or, to be more accurate, a new and very interesting fusion of old areas. I shall give an overview of the area and try to explain what combinatorics, harmonic analysis, and number theory have to offer each other.
Lecture II: Discrete Fourier Analysis: Its Uses and Limitations This lecture will be about one of the main techniques in arithmetic combinatorics: the use of the discrete Fourier transform. I shall outline how it can be used to prove two central theorems in the subject, namely Roth's theorem on arithmetic progressions, and Freiman's theorem on the structure of sets with small sumsets. Both these theorems result in major open problems, and I shall try to explain their difficulty by highlighting what it is that we do not yet understand about Fourier analysis.
Lecture III: Discrete Fourier Analysis: Its Uses and Limitations In this lecture I shall try to give some idea about the proofs of two celebrated results about arithmetic progressions: Szemerécdi's theorem, which states that every dense set of integers contains arbitrarily long arithmetic progressions, and the GreenTao theorem, which tells us that the same is true of the set of primes. Both these results involve situations where conventional Fourier analysis is inadequate, but recently discovered "polynomial" generalizations can be used instead. Much remains to be understood: if time permits, I shall speculate about what arithmetic combinatorics may look like in twenty years' time.
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20042005 Milliman Lectures

Luis Caffarelli
Sid Richardson Chair holder, Professor in Mathematics University of Texas at Austin, and the Texas Institute for Computations and Applied Mathematics
A series of three lectures entitled Free Boundary Problems of Obstacle Type
Abstract: Free boundary problems of obstacle type became of interest during the development of the theory of Variational Inequalities in the late 1960s, and applications surfaced in many areas of applied math, probability and geometry.
From the variational point of view, the problem consists of minimizing some variational integral , among those configurations staying above a given graph. From the probabilistic point of view, it concerns an optimal stopping time problem that gives rise to a HamiltonJacobiBellman equation.
Typical examples of the variational integrals involve those giving rise to second order linear or non linear equations (Laplacian, minimal surfaces, pLaplacian), fourth order problems like the biLaplacian (clamped plates), or the fractional Laplacian for instance for boundary control problems or optimal stopping times for Levi processes. We will discuss matters of regularity, stability, and the geometric properties of the contact set and its free boundary.
Lecture I: We will discuss what is a free boundary problem, in particular one of obstacle type, describe different areas, from geometry to fluid dynamics to probability in which they appear, and what type of information we seek.
Lecture II: We will give a more detailed discussion of regularity and geometric behavior of solutions to these types of problems, as well as its interpretations, in particular in connection with recent work on nonlocal variational inequalities.
Lecture III: We will discuss in greater detail the main techniques to tackle this type of problem, in particular "convexity" properties of solutions, and the role of monotonicity formulas.
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20032004 Milliman Lectures

Alain Connes
Professor of Mathematics Collège de France, and Institut des Hautes Études Scientifiques
A series of three lectures entitled NonCommutative Geometry
Abstract: Noncommutative geometry has its roots in the following theorem of Gelfand: if X is a (locally) compact Hausdorff space and C(X) is the C^{*}algebra of continuous complexvalued functions on X, then X may be recovered as the space of maximal ideals of C(X). More precisely, the category of commutative C^{*}algebras is equivalent to the category of locally compact Hausdorff spaces.
Gelfand's Theorem allows one to transport the usual geometric notions to corresponding algebraic properties and features of the ring C(X). For example, complex vector bundles on X correspond to finitely generated projective modules over C(X), and the topological Ktheory of X is isomorphic to the algebraic Ktheory of C(X).
The basic idea behind noncommutative geometry is allow C^{*}algebras that are not necessarily commutative to play the role of "functions" on spaces that are not necessarily Hausdorff.
Among the naturally occurring spaces with obvious geometric meaning that fail to be Hausdorff are:
 the space of leaves of a foliation
 the space of irreducible representations of a discrete group
 the space of Penrose tilings of the plane
 the Brouillon zone in the quantum Hall effect
 phase space in quantum mechanics
 spacetime
 the space of Qlattices in R^{n}
Farreaching noncommutative extensions of classical geometric concepts such as measure theory, topology, differential geometry, and Riemannian geometry have been obtained with varying degrees of perfection. These extensions allow the usual geometric notions to be used to analyze spaces such as those above.
These three talks will provide an introduction to, and overview of, noncommutative geometry. Connections with other branches of mathematics and physics will be emphasized.
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20022003 Milliman Lectures

János Kollár
Professor of Mathematics Princeton University
Lecture I: What is the Biggest Multiplicity of a Root of a Degree d Polynomial?
Lecture II: What are the Simplest Algebraic Varieties?
Lecture III: Rational Connected Varieties over Finite Fields
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20012002 Milliman Lectures

Peter Sarnak
Professor of Mathematics Institute for Advanced Study, Princeton, and New York University
A series of three lectures entitled Familes of Lfunctions and Applications
Abstract: Lfunctions, starting from Riemann's zeta function and continuing to the modern automorphic Lfunction have played a central role in number theory. These lectures will focus on recent developments in the analytic theory of such functions. A key technique which is at the heart of these advances is based on the formation and analysis of families of Lfunctions. There are numerous applications of these developments to number theory, combinatorics and mathematical physics. We will describe two in detail. One is the solution of Hilbert's eleventh problem which asks about the representability of integers in a number field by an integral quadratic form. The other is to eigenfunctions on an arithmetic surface and in particular problems in quantum chaos.
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20002001 Milliman Lectures

Charles Fefferman
Professor of Mathematics Princeton University
A series of three lectures entitled Unsolved Problems of Fluid Dynamics
Abstract: The talks will state some of the main unsolved problems on the Euler and NavierStokes equations for incompressible fluids, and sketch the proofs of some of the main results known so far on these and related equations. I hope to get through the main ideas in the proofs of the BealeKatoMajda theorem and results of Constantin, Majda and me on breakdown of Euler solutions, the work of Sheffer, CaffarelliKohnNirenberg and F. H. Lin on NavierStokes, and recent results by D. Cordoba and me on breakdown scenarios. Also, I hope to state precisely some problems arising from Kolmogorov's ideas on turbulence.
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19992000 Milliman Lectures

Peter Shor
AT&T Research
Lecture I: Quantum Algorithms Quantum computers are hypothetical devices that use the principles of quantum mechanics to perform computations. For some difficult computational problems, including the cryptographically important problems of prime factorization and finding discrete logarithms, the best algorithms known for classical computers are exponentially slower than ones known for quantum computers. Although they have not yet been built, quantum computers do not appear to violate any fundamental principles of physics. I will explain how quantum mechanics provides this extra computational power, and show how Fourier transforms lets quantum computers find periodicity in situations classical computers cannot. Finally, I show how large integers can be factored by finding the periodicity of an exponentially long sequence.
Lecture II: Quantum Error Correction One of the main difficulties in building quantum computers is in manipulating coherent quantum states without introducing errors or losing coherence. This problem can be alleviated by the use of quantum error correcting codes. Until these codes were discovered, it was widely believed that quantum computers could not be made resistant to errors  the argument was that to detect an error, a quantum computer's state would have to be measured, which by the laws of quantum mechanics would perturb the computer's state and thus disrupt the computation. Quantum error correcting codes get around this by encoding the data so that errors can be measured without disturbing the computational state. I will explain how these codes work, and briefly sketch how they can be used to make quantum computes extremely reliable via software if they can be built with only moderately reliable hardware.
Lecture III: Quantum Information Theory One of the most remarkable papers of this century was the 1948 paper in which Shannon laid out the fundamentals of information theory, giving formulae for the compressibility of data and for the informationcarrying capacity of a channel. Only in the last ten years, however, have researchers started to investigate what happens to the theorems of information theory in a quantum mechanical setting. We will define quantum channels, and present what is known about the analogs of Shannon's theorems in the quantum setting. Aside from knowledge of basic quantum mechanics (the necessary part of which I plan to cover in the first lecture), these lectures should be independent.
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19981999 Milliman Lectures

Clifford Taubes
Professor of Mathematics Harvard University
A series of three lectures titled New Geometry in Four Dimensions
Abstract: The more we learn about the classification of smooth (even simply connected) four dimensional manifolds, the less we understand; to the point where today, we have no viable conjectures. My lectures will focus first on how we got to this amusing state (the SeibergWitten invariants helped)  here you will see lots of 4dimensional manifolds which sit just across the boundary of what we understand. Then, I will discuss a particular approach for moving across the frontier, this being a curious four dimensional generalization of Morse theory in dimension 3 which mixes Riemannian, symplectic and holomorphic geometry.
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19971998 Milliman Lectures

Robert MacPherson
Professor of Mathematics Institute for Advanced Study
A series of three lectures entitled:
Counting Faces of Polyhedra
Fixed Points in Spaces of Lattices
Topology of Spaces with Torus Actions
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19961997 Milliman Lectures

Ingrid Daubechies
Professor of Mathematics Princeton University
Lecture I: Wavelets: An Overview, with Recent Applications Wavelets have emerged in the last decade as a synthesis from many disciplines, ranging from pure mathematics (where forerunners were used to study singular integral operators) to electrical engineering (quadrature mirror filters), borrowing in passing from quantum physics, from geophysics and from computer aided design. The first part of the talk will present an overview of the ideas in wavelet theory, in particular wavelet bases. The second part of the talk will discuss some recent applications, ranging from lossless as well as lossy image compression or speech analysis to nonlinear approximation methods.
Lecture II: Subdivision Schemes Subdivision schemes are used in computer aided design for the construction of locally adaptable curves and surfaces. A "good" scheme can lead to surfaces or curves that look quite smooth. This talk will discuss mathematical techniques to study the regularity of these curves and surfaces. In the "equally spaced" case, this is all well understood. The corresponding techniques in the nonequally spaced case are under development now; the talk will end with a presentation of some work in progress on this topic.
Lecture III: Using Transfer Operators to Find the Regularity of Refinable Functions A function f(x) is refinable if it can be written as a linear combination of the dilated and translated copies f(2x n) of f. Such functions come up naturally in the construction of wavelet bases and in equally spaced subdivision schemes. Many techniques exist to find the regularity of such functions; for most, the complexity of the computation depends crucially on the number of coefficients is the refinement equation. This talk will present a link with transfer operators for the doubling operator, used in an estimation method for the regularity that can handle even infinite numbers of coefficients.
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19951996 Milliman Lectures

John Conway
Professor of Mathematics Princeton University
A series of three lectures entitled On Games, Codes, and Balls
Games and Numbers: How adding up games helps to understand numbers.
Codes and Numbers: The mysterious arithmetic of lexicographic codes.
Spheres and Clusters: How to pack a big box with small balls.
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19941995 Milliman Lectures

Gil Kalai
Professor of Mathematics Hebrew University of Jerusalem
A series of three lectures entitled:
Lecture I: Combinatorics and Convexity
Lecture II: Simple Polytopes
Lecture III: The Combinatorics of the Simplex Algorithm
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19931994 Milliman Lectures

Louis Nirenberg
Professor of Mathematics New York University
A series of three lectures entitled Variational Methods, the Maximum Principle and Related Topics
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19921993 Milliman Lectures

Raoul Bott
Professor of Mathematics Harvard University
A series of three lectures entitled On some PhysicsInspired Aspects of Geometry and Topology
Abstract: General relativity and the Quantum Theory have been two of the great theoretical driving forces of this century  not only of Physics but also of Mathematics. Relativity is by its very nature geometric and, dealing as it does with the very distant, it has natural links to topology. The Quantum theory on the other hand is traditionally more associated with questions in functional analysis. Still this theory has profound and rather surprising relations with topology and in these lectures I hope to explore some of these.
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19911992 Milliman Lectures

Elias M. Stein
Professor of Mathematics Princeton University
A series of three lectures entitled Oscillatory Integrals in Analysis
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19901991 Milliman Lectures

Barry Mazur
Professor of Mathematics Harvard University
A series of three lectures entitled In Search of the Monster
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19891990 Milliman Lectures

Richard Stanley
Professor of Mathematics Massachusetts Institute of Technology
A series of three lectures entitled Some Applications of Algebra to Combinatorics
Abstract: We will survey a number of applications of algebra to some problems in combinatorics dealing with extremal set theory, partially ordered sets, enumeration, and convex polytopes. No special knowledge of algebra or combinatorics will be necessary to understand these talks. We begin with teh simplest linear algebra and build up more and more sophisticated machinery as it is required. Some of the topics covered are the following:
 the use of linear algebra to prove the classical Sperner theorem (which determines the largest collection A of subsets of an nelement set such that no member of A is a subset of another) and related results,
 the use of finite group theory to prove some variations of the Sperner theorem, including the unimodality of the qbinomial coefficients,
 a proof of a numbertheoretic conjecture of Erdos and Moser using the representation theory of the Lie algebra sl(2,C),
 a proof of the Upper Bound Conjecture for Spheres using the theory of CohenMacaulay rings, and
 a proof of McMullen's gconjecture for convex polytopes based on the theory of toric variaties and the hard Lefschetz theorem.
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19881989 Milliman Lectures

Michael Artin
Professor of Mathematics Massachusetts Institute of Technology
A series of three lectures entitled Deformation of Polynomial Rings
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19871988 Milliman Lectures

Peter Lax
Professor of Mathematics New York University
A series of three lectures entitled Wave Propagation
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19861987 Milliman Lectures

Stephen Smale
Professor of Mathematics University of California, Berkeley
A series of three lectures entitled Structure and Complexity Theory of Algorithms for Nonlinear Equations
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1986 Milliman Lectures

Kiyoshi Itô
Professor of Mathematics Kyoto University
A series of four lectures entitled Diffusions in Infinite Dimensional Spaces
The lectures were in conjunction with the Workshop in Markov Processes which took place at the University of Washington from June 23 to July 2, 1986.
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1985 Milliman Lectures

Hillel Furstenberg
Professor of Mathematics Hebrew University
A series of three lectures entitled Ergodic Theory and Combinatorics
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19841985 Milliman Lectures

Frank Adams
Lowndean Professor of Astronomy and Geometry University of Cambridge
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19831984 Milliman Lectures

Lennart Carleson
Professor of Mathematics Uppsala University
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