IAP 2021 Classes
Non-credit activities and classes:
Check out the IAP pages at http://web.mit.edu/iap/listings/
For-credit subjects:
Check out the course catalog at http://student.mit.edu/catalog/m18a.html. You can use the Subject Search functionality to limit the search to IAP listings or find Math's IAP offerings here: http://student.mit.edu/catalog/search.cgi?search=18&when=J. Our main offerings in Mathematics are:
18.02A Calculus
- Prof John Bush and staff
- Jan. 4 - 29
- MTWRF12
- TR10-11.30 or TR2-3.30 +final
12 units (only 6 will count toward IAP credit limit)
This is the second half of 18.02A and can be taken only by students who took the first half in the fall term; it covers the remaining material in 18.02.
18.031 System Functions and the Laplace Transform
- Dr Keaton Burns
- Jan. 4-22
- MWF 10-12
(with an extra meeting Tues Jan 19, in place of the MLK Day holiday on the 18th)
3 units (P/D/F graded)
Studies basic continuous control theory as well as representation of functions in the complex frequency domain. Covers generalized functions, unit impulse response, and convolution; and Laplace transform, system (or transfer) function, and the pole diagram. Includes examples from mechanical and electrical engineering.
18.095 Mathematics Lecture Series
- MWF1-2.30
- R10.30-12 or R1-2.30
6 units (P/D/F graded)
Ten lectures by mathematics faculty members on interesting topics from both classical and modern mathematics. All lectures accessible to students with calculus background and an interest in mathematics. At each lecture, reading and exercises are assigned. Students prepare these for discussion in a weekly problem session.
Lecture Schedule
Monday, January 4 | Bill Minicozzi | Singularities and uniqueness in geometric flows | The classical heat equation describes how temperature evolves over time as it seeks an equilibrium. The equation is linear and smoothing - solutions become more smooth over time as heat diffuses and becomes more evenly distributed. Geometric flows, such as mean curvature flow and the Ricci flow, describe the evolution of geometric objects over time. These equations are highly nonlinear and, unlike the ordinary heat equation, even very smooth initial data can explode as a singularity forms. Understanding these singularities is crucial to understanding the flow. I will introduce these geometric flows and explain the basic approach to understanding the singularities. |
Wednesday, January 6 | Daniel Álvarez-Gavela | The notion of topological degree | In this talk we will introduce and explore the notion of topological degree in the specific case of continuous mappings from the circle to itself, as well as the related notion of winding number. As an application, we will give a topological proof of the Fundamental Theorem of Algebra: every non-constant polynomial has a root in the field of complex numbers. |
Friday, January 8 | Yufei Zhao | Triangles and Equations | Starting with Schur's attempt from a hundred years ago at proving Fermat's Last Theorem, we explore connections between graph theory on one hand, and an area of number theory known as additive combinatorics on the other hand. I will show the proof of Schur's theorem, and take you on a tour through subsequent developments in the century since Schur's work. |
Monday, January 11 | Duncan Levear | "Dicey" polynomials: a surprising application of calculus to probability | Consider the following game. We first roll a fair six-sided die to determine a random number X. Then we flip X fair coins and count up the number of heads. In the long-run, what is the average number of heads that we get? You may be surprised that this question can be answered by a simple application of the familiar chain rule from 18.01. Interested? Come to this talk to learn how a discrete random variable can be encoded into a polynomial, and then how calculus can be used to give useful information about its distribution. No pre-requisite knowledge beyond 18.01 is needed. |
Wednesday, January 13 | Felix Gotti | The notion of atomicity in algebra and combinatorics | As in Physics, the notion of an atom shows up in several fields of Mathematics, including measure theory, order theory, and commutative ring theory. In the fields where the notion of an atom makes sense, we can often define an atomic universe as one on which (almost) everything can be decomposed into atoms. In this talk, we will explore atomicity in the context of monoids, commutative rings, posets, and lattices. |
Friday, January 15 | John Bush | Surface Tension | |
Wednesday, January 20 | Minh-Tam Trinh | What Gauss Knew About Knots and Braids | We give a historical overview of knot theory, decorated with many pictures, and starting from the observation that Gauss knew a lot more topology than one might otherwise assume. |
Friday, January 22 | Roman Bezrukavnikov | History and Geometry of Kepler's Laws | I will briefly describe the fascinating history of discovery of Kepler's laws of planetary motion which was an important precursor to Newton's laws and thus to the scientific revolution that shaped the world we live in. Here I will mostly follow the book "Sleepwalkers" by A. Koestler. The mathematical part of the lecture will be devoted to deducing Kepler's laws. Although there is a short derivation using standard tools from 18.03, 18.032 I will instead present a more geometric, elementary but elegant proof, eventually connecting the problem to non-Eucledian geometry. |
Monday, January 25 | Michel Goemans | How to cut a graph | I consider the problem of partitioning the vertices of a graph into two (non-trivial) parts so as to either minimize or maximize the number of cut edges. I will explain how these two seemingly similar problems behave widely differently; one is "easy" while the other is "hard" (guess which?). I will present various ways of finding either the best cut or an approximately good one. We'll discuss min-max relations, geometric embeddings, and approaches based on eigenvalues or convex functions. |
Wednesday, January 27 | Martin Bazant | Mathematics of COVID-19 Transmission | This lecture will introduce the basic physics of COVID-19 transmission via respiratory aerosol droplets and derive a simple safety guideline for well-mixed indoor spaces. Rather than limiting social distance or occupancy, the guideline limits the probability of transmission by infected individual in a given time, which depends on ventilation, mask use, air filtration, and the type of human activity. The fluid mechanics of respiratory disease transmission will also be discussed, in order to understand corrections to the first approximation of a well mixed room. |
18.S097 Special Subject in Mathematics: Proof-Writing Workshop
- MW 3-4pm
- F 9-10:30am or F 3-4:30pm
3 units (P/D/F-graded)
Introduction to proof-writing and mathematical communication. Provides practice working with precise definitions and various proof techniques for students interested in proof-based subjects in math or math-adjacent fields such as 18.100A/B or 6.042/18.062[J]. Emphasis on developing mathematical thinking using examples from set theory, discrete mathematics, and other fields. Student-chosen topics may be discussed if time allows.
The class will be led primarily by undergraduate students and will be taught synchronously. Lecture sessions will include a blend of lecturing and problem-solving in breakout rooms, and recitation sessions will be dedicated to working on problems and presenting solutions. Grading will be P/D/F based on participation and completion of weekly problem sets.
This subject is organized through the Undergraduate Mathematics Association. For questions, please contact iap-proof-workshop@mit.edu.