Mathematics
Graduate Faculty
Special Departmental Requirements
Master of Arts Degree
Master of Arts for Teachers Degree
Doctor of Philosophy Degree
Ph.D. Minor in Mathematics
Courses
College of Arts and Sciences
Bloomington
Chairperson
Professor Daniel Maki
Graduate Faculty
College Professor
Roger Temam
Distinguished Professor
Ciprian Foias
Professors
Steen Andersson, Goro Azumaya (Emeritus), S. Thomas Bagby, Eric Bedford, Grahame Bennett, Hari Bercovici, Rabi Bhattacharya, Richard Bradley, John Brothers, Arlen Brown (Emeritus), John Challifour (Physics), Jiri Dadok, James Davis, Vinay Deodhar, Allan Edmonds, Robert Glassey, Victor Goodman, Darrell Haile, David Hoff, Jan Jaworowski (Emeritus), Andrew Lenard (Emeritus, Physics), Charles Livingston, Morton Lowengrub (Emeritus), Russell Lyons, Daniel Maki, Kent Orr, Sergey Pinchuk, Madan Puri, Billy Rhoades (Emeritus), George Springer (Emeritus, Computer Science), Joseph Stampfli (Emeritus), Peter Sternberg, Maynard Thompson, Alberto Torchinsky, Lanh Tran, William Ziemer, Kevin Zumbrun
Associate Professors
Scott Brown, Marlies Gerber, William Gustin (Emeritus), Michael Jolly, Paul Kirk, Jee Heub Koh, Michael Larsen, Valery Lunts, Robert MacKenzie (Emeritus), Lawrence Moss, JiPing Sha, Bruce Solomon, Shouhong Wang,* William Wheeler, Yuxi Zheng
Assistant Professor
Zhenghan Wang*
Director of Graduate Studies
Professor Jiri Dadok, Rawles Hall 130, (812) 8552645
Degrees Offered
Master of Arts, Master of Arts for Teachers, and Doctor of Philosophy
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Special Departmental Requirements
(See also general University Graduate School requirements.)
Admission Requirements
Undergraduate mathematics major or its equivalent.
Area Options
In order to describe the various concentration requirements, the Department of Mathematics has classified its courses into three areas: pure mathematics, applied mathematicsnumerical analysis, and probabilitystatistics. Each of these areas is further subdivided into fields. Pure mathematics is subdivided into analysis (real and complex), algebra, topology and geometry, and logic and foundations. Applied mathematicsnumerical analysis is subdivided into applied mathematics, mechanics, and numerical analysis. Probabilitystatistics is subdivided into probability and statistics.
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Master of Arts Degree
Course Requirements
A total of 30 credit hours, of which 18 credit hours must be mathematics courses at the 500 level or above with a 3.0 (B) average. The total course work submitted must include courses satisfying one of the following options and must be approved by the director of graduate studies.
 Applied Mathematics Option. Courses including M511, M513, and at least two of the following: M540, M541, M544, M545, M571, M572. In addition, the student must take at least one 3 credit hour graduate course outside the Department of Mathematics.
 Pure Mathematics Option. At least 6 credit hours in each of three of the following groups: algebra, analysis, applied mathematics and numerical analysis, logic and foundations, probability and statistics, topology and geometry, outside area (biology, psychology, computer science, economics, chemistry, physics, and others).
 Statistics Option. M511, M563, M566, and at least two of the following: M561, M562, M564, M567, M568, M569, E671, or any other approved course outside the Department of Mathematics.
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Master of Arts for Teachers Degree
Course Requirements
A total of 36 credit hours, with at least one 3 credit hour course in each of the following groups: algebra, analysis, probability and statistics, topology and geometry, applied mathematics and numerical analysis.
Restrictions
Only Department of Mathematics graduate courses numbered 400 or higher count toward the 20 credit hours required in the major; up to 6 credit hours of courses below 400 accepted, with consent of the director of graduate studies, in partial fulfillment of the remaining 16 credit hours.
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Doctor of Philosophy Degree
Course Requirements
The following course requirements are designed to provide the broad background needed for the successful pursuit of research leading to the dissertation. Students must complete 36 credit hours in mathematics at the 500, 600, or 700 level, excluding M595M596 and M599, and, in addition, must complete 2 credit hours in M599. Their program of study will depend upon their background and interests. Students should formulate a program in consultation with their faculty advisor. The total course work submitted for the degree must satisfy one of the options below. Reading courses may not be used to satisfy the requirements of these options unless they are specifically approved by the Graduate Director. A dissertation is required.
 Applied Mathematics Option. Students must complete M511M512, M513, and M540M541. Students must also complete either 6 hours of graduate credit outside the Department of Mathematics in an area conducive to mathematical treatment and approved by the student’s advisor, or 12 hours of graduate credit that is crosslisted with the Department of Physics. In addition, students must complete 6 hours of graduate credit in each of two of the following groups:
 Algebra, and logic and foundations
 Topology and geometry
 Numerical analysis, probability, and statistics
 Pure Mathematics Option. Students must complete 6 hours of graduate credit in five of the following groups, including 6 credit hours of 500level courses in two of groups 14, and 6 credit hours of 500level courses in another of groups 16.
 Analysis
 Algebra
 Topology and geometry
 Logic and foundations
 Probability and statistics
 Applied mathematics and numerical analysis
 Outside (biology, computer science, economics, chemistry, physics, and others) with the approval of the student’s advisor.
 Statistics Option. Each student’s program should be arranged to include work in mathematics, mathematical statistics, probability, and the application of statistics to some particular field. Students must complete M511M512, M563M564, M566M567, and 6 hours of graduate credit in each of two of the following groups:
 Applied mathematics and numerical analysis
 Algebra
 Complex analysis
 Topology and Geometry
 Computer science
Students must also complete 6 hours of graduate credit in other departments in courses approved by their advisor.
Minor
Students in mathematics must complete a minor in mathematics or in some other discipline. In order to complete a minor in mathematics, the student must satisfy one of the following options: (1) 9 credit hours of course work at the 500 level or above in an area other than that of the dissertation; or (2) 6 credit hours of course work at the 500 level or above in each of two fields distinct from that of the dissertation, 6 credit hours of which must be in an area other than that of the dissertation. Exception: a student whose dissertation is in applied mathematics or numerical analysis may not present a 9 credit hour minor in analysis.
Foreign Language Requirement
Reading proficiency in one foreign language in which major research articles in mathematics are published. Acceptable languages are German, French, and Russian or another language deemed to be more relevant by the dissertation advisor. The Graduate Policy Committee of the Department of Mathematics will consider petitions for substituting other languages.
Qualifying Examinations
The Math Department qualifying exam comprises a threetier system designed to help determine as quickly and efficiently as possible whether students have mastered basic graduatelevel mathematics, exhibit the necessary abilities and selfdiscipline, and have prepared themselves to pursue the independent research necessary for the Ph.D. within a twoto threeyear time frame.
Tier 1 (comprehensive 400level written exams).
Ph.D. students will take a twopart written exam on 400level Algebra and Analysis. The exams will be given on consecutive days during the week before classes begin in the fall and in January. New students may take either of the TierI exams in August when they first arrive only with the permission of the Graduate Director. In addition to this possible early attempt, a student is allowed two attempts at each exam prior to the end of the second year of study.
Syllabi, references, and sample problems for these exams are available in the Math Graduate Office.
Tier 2 (Committee Review).
Each May, a departmental committee will review the record of every student who has either
 completed two years in the program without previous review, or
 passed the Tier 1 exams on entrance to the program and elects the review at the end of the first year.
The review committee will decide which students may continue toward Ph.D. candidacy. The committee’s considerations will include:
 Performance on the Tier 1 exams.
 Performance in 500level course work.
 A report from the student’s academic advisor (see below).
 Optional written personal statement by student.e. Student’s performance of assistantship duties.
As indicated above, students can accelerate their progress in the program by passing the Tier 1 exams on entrance into the program and electing the Tier 2 review at the end of their first year. The review committee will treat this as favorable for their case. Students who do not get a recommendation to continue will be encouraged to complete the M.A. degree. If they have financial support at the time of review, they will be entitled to at least one additional semester of support in order to do so.
Tier 3 (oral exam).
After the Tier 2 review, students must arrange and pass a Qualifying Oral Exam before beginning their fourth year. The student will seek the direction of a faculty member as scientific advisora “tentative Ph.D. advisor”for this exam. The faculty member will assign a reading list consisting of texts and research level papers; this material will comprise the major topic of the exam. The student will also propose a minor area, to be approved by the director of graduate studies. If and when the scientific advisor feels the student is ready for the exam, the advisor will arrange for a threemember faculty committee to administer the exam. These exams are projected to last approximately two hours, and one of the committee members must be qualified to examine the student in the minor area, where the student must demonstrate 500level mastery. In order to pass the exam, the student must:
 Demonstrate a level of mathematical ability and maturity sufficient for successfully undertaking a Ph.D. dissertation (normally in the major area of the exam), and
 Identify a faculty member willing to serve as Ph.D. advisor. This will typically, but not necessarily, be the faculty member who organized the exam.
Two aspects of the Graduate Program that directly support this threetiered system bear mention:
 A faculty advisor will be assigned to every entering student. The advisor will be expected to follow the student’s progress in both course work and instructional duties, and to write a short report for the Tier 2 review committee at the appropriate time.
 Grades in 500level courses will be given and evaluated according to the following guidelines:
 A grade of A means that, based on the student’s work in that course, the instructor believes the student will succeed in being admitted to Ph.D. candidacy.
 A grade of B means that the student’s work in that course is satisfactory, but has reservations (based on that work) about the student’s ability to be admitted to candidacy.
All students must maintain at least a B average in their 500level course work, in accordance with currently published departmental and university guidelines. Tier 1 exams are administered at the end of the week before classes begin in August and January, and will be allotted at least 3 hours (the intention is that time should not be a serious constraint).
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Ph.D. Minor in Mathematics
Doctoral students in other departments may complete a minor in mathematics by satisfying one of the following options: (1) 9 credit hours of mathematics courses at the 400 level or above, or (2) M343M344 and 6 credit hours of mathematics courses at the 400 level or above.
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Courses
Students are advised to begin their study of a field with 400level courses, unless their preparation in that field has been very good. M.A.T. students in mathematics, or M.A., M.S., or Ph.D. students in other departments, may receive graduate credit for any 400level course. Candidates for the M.A. or Ph.D. in mathematics should note that some 400level courses do not satisfy certain degree requirements (see footnotes).
In the following list, the middle digit of the course number indicates the field of mathematics: x0y, algebra; x1y, analysis; x2y, topology; x3y, geometry; x4y, applied mathematics; x5y, mechanics; x6y, probability and statistics; x7y, numerical analysis; x8y, history and foundations.
M403M404 Introduction to Modern Algebra III (33 cr.)
S403S404 Honors Course in Modern Algebra III (33 cr.)
T403 Modern Algebra for Secondary Teachers (3 cr.)^{1}
M405 Number Theory (3 cr.)^{1}
M409 Linear Transformations (3 cr.)^{2}
M413M414 Introduction to Analysis III (33 cr.)
M415 Elementary Complex Variables with Applications (3 cr.)
M420 Metric Space Topology (3 cr.)^{1}
M425 Graph Network Theory and Combinatorial Analysis (3 cr.)
M435 Introduction to Differential Geometry (3 cr.)
M436 Introduction to Geometries (3 cr.)
M441M442 Introduction to Partial Differential Equations with Applications III (33 cr.)
M447M448 Mathematical Models and Applications III (33 cr.)^{1}
M463M464 Introduction to Probability Theory III (33 cr.)
M465 Sampling Techniques (3 cr.)
M466 Introduction to Mathematical Statistics (3 cr.)
M467 Advanced Statistical Techniques I (3 cr.)
M468 Advanced Statistical Techniques II (3 cr.)
M471M472 Numerical Analysis III (33 cr.)
M482 Mathematical Logic (3 cr.)
M490 Problem Seminar (3 cr.)
T490 Topics for Elementary Teachers (3 cr.) P: T103 or equivalent. Development and study of a body of mathematics specifically designed for experienced elementary teachers. Examples include probability, statistics, geometry, and algebra. Open only to graduate elementary teachers with consent of the instructor. (Does not count toward the area requirements for the M.A. and Ph.D. degrees in mathematics.)
M501 Survey of Algebra (3 cr.) P: M403M404. Groups with operators: JordanHolder theorem. Sylow theorems. Rings: localization of rings; Chinese remainder theorem. Modules over principal ideal domains: invariants. Fields: Algebraic closure; separable and inseparable algebraic extensions; Galois theory; finite fields.
M502 Commutative Algebra (3 cr.) P: M501. Field theory: transcendental extensions; separable extensions; derivations. Modules: Noetherian and Artinian modules. Primary modules; primary decomposition; Krull intersection theorem. Commutative rings: height and depth of prime ideals. Integral extensions. Notions of algebraic geometry: algebraic sets; Hilbert Nullstellensatz; local rings.
M503 Noncommutative Algebra (3 cr.) P: M501. Simple and semisimple modules; density theorem; WedderburnArtin theorem. Simple algebras: automorphisms; splitting fields; Brauer groups. Representations of finite groups: characters; induced characters; applications.
M505M506 Basic Number Theory III (33 cr.) P: M403M404. Congruence, units modulo n, lattices and abelian groups, quadratic residues, arithmetic functions, diophantine equations, Farey fractions, continued fractions, partition function, the Sieve method, density of subsets of integers, zeta function, the prime number theorem.
M507M508 Introduction to Lie Algebras and Lie Groups (3 cr.) P: M403M404, and M409 or M501. Nilpotent, solvable, and semisimple Lie algebras, PBW theorem, Killing form, Cartan subalgebras, root systems, Weyl group, classification and representations of complex semisimple Lie algebras, maximal weight modules; correspondence between real Lie algebras and Lie groups, compact Lie groups, complex and real semisimple Lie groups, symmetrical spaces.
M509 Representations of Finite Groups (3 cr.) P: M409 or equivalent. Groups, subgroups. Homomorphisms, isomorphisms. Transformation groups. The orthogonal and Euclidean groups O(3) and E(3). Symmetry and discrete subgroups of E(3). Crystallographic groups. Group representations. Reducible and irreducible representations. Group characters and character tables. Representations of the symmetric groups. Young tableaux. Symmetry classes of tensors.
M511M512 Real Variables III (33 cr.) Sets and functions; cardinal and ordinal numbers; metric spaces; limits and continuity; function spaces and linear functionals; set functions; kinds of measures, integration; absolute continuity; convergence theorems; differentiation and integration.
M513M514 Complex Variables III (33 cr.) Algebra, topology, and geometry of the complex plane; analytic functions; conformal mapping; Riemann surfaces; Cauchy’s theorem and formula; convergence theorems; infinite series and products; Riemann mapping theorem.
M521M522 Topology III (33 cr.) Pointset topology, including connectedness, compactness, separation properties, products, quotients, metrization, function spaces. Elementary homotopy theory including fundamental group and covering spaces. Introduction to homology theory with applications such as the Brouwer Fixed Point Theorem.
M529 Introduction to Differential Topology (3 cr.) P: M303, M413 or equivalent. Derivatives and tangents; Inverse Function Theorem; immersions and submersions; Sard’s Theorem. Manifolds; imbedding manifolds. Applications: intersections and degrees (mod 2); Brouwer Fixed Point Theorem. Orientation of manifolds; Euler characteristic; Hopf Degree Theorem.
M533M534 Differential Geometry III (33 cr.) Differentiable manifolds, multilinear algebra, and tensor bundles. Vector fields, connections, and general integrability theorems. Riemannian manifolds, curvatures, and topics from the calculus of variations.
M540M541 Partial Differential Equations III (33 cr.) P: M441M442 or equivalent. Introduction to distributions, Sobolev spaces, and Fourier transforms; elliptic equations, Hilbert space theory, potential theory, maximum principle; parabolic equations and systems, characteristics, representations of solutions, energy methods; applications and examples.
M544M545 Ordinary Differential Equations III (33 cr.) P: M413M414 or consent of instructor. Existence, uniqueness, continuous dependence; linear systems, stability theory, Floquet theory; periodic solutions of nonlinear equations; PoincaréBendixson theory, direct stability methods; almost periodic motions; spectral theory of nonsingular and singular selfadjoint boundaryvalue problems; twodimensional autonomous systems; the saddlepoint property; linear systems with isolated singularities.
M546 Control Theory (3 cr.) Examples of control problems; optimal control of deterministic systems: linear and nonlinear. The maximal principle: stochastic control problems.
M548 Mathematical Methods for Biology (3 cr.) P: M414, M463. Deterministic growth models. Birthdeath processes and stochastic models for growth. Mathematical theories for the spread of epidemics. Quantitative population genetics.
M553 Cryptography (3 cr.) P: M301 or M303. Covers encryption and decryption in secure codes. Topics include: cryptosystems and their cryptanalysis, Data Encryption Standard, differential cryptanalysis, Euclidean algorithm, Chinese remainder theorem, RSA cryptosystem, primality testing, factoring algorithms, ElGamal cryptosystem, discrete log problem, other public key cryptosystems, signature schemes, hash functions, key distribution, and key agreement. Credit not given for both M553 and M453.
M560 Applied Stochastic Processes (3 cr.) P: M343, M463, or consent of instructor. Simple random walk as approximation of Brownian motion. Discretetime Markov chains. Continuoustime Markov chains; Poisson, compound Poisson, and birthanddeath chains; Kolmogorov’s backward and forward equations; steady state. Diffusions as limits of birthanddeath processes. Examples drawn from diverse fields of application.
M561 Nonparametric Statistics I (3 cr.) P: M466. Problems of estimating and testing hypotheses when the functional form of the underlying distribution is unknown. Robust methods. Sign test, rank tests, and confidence procedures based on these tests. Tests based on the permutations of observations. Nonparametric tolerance limits. Large sample properties of the tests.
M562 Statistical Design of Experiments (3 cr.) P: M565 or consent of instructor. Latin square, incomplete blocks, and nested designs. Design and analysis of factorial experiments with crossing and nesting of factors, under fixed, random, and mixed effects models, in the balanced case. Blocking and fractionation of experiments with many factors at two levels. Exploration of response surfaces.
M563M564 Theory of Probability III (33 cr.) P: M463, M512; or consent of instructor. Basic concepts of measure theory and integration, axiomatic foundations of probability theory, distribution functions and characteristic functions, infinitely divisible laws and the central limit problem, modes of convergence of sequences of random variables, ergodic theorems, Markov chains, and stochastic processes.
M565 Analysis of Variance (3 cr.) P: M466 and some of matrix algebra. General linear hypothesis. Least squares estimation. Confidence regions. Multiple comparisons. Analysis of complete layouts. Effects of departures from underlying assumptions. Analysis of covariance.
M566M567 Mathematical Statistics III (33 cr.) P: M466, M512; or consent of instructor. Modern statistical inference, including such topics as sufficient statistics with applications to similar tests and point estimates, unbiased and invariant tests, lower bounds for mean square errors of point estimates, interval estimation, linear hypothesis, analysis of variance, sequential analysis, decision functions, and nonparametric inference.
M568 Time Series Analysis (3 cr.) P: M466 or consent of instructor. Autocovariance, power spectra, windows, prewhitening, aliasing, variability and covariability, rejection filtering and separation, pilot estimation, crossspectra, Rth order spectra, prediction, numerical spectrum analysis.
M569 Statistical Decision Theory (3 cr.) P: M466 or consent of instructor. Decisiontheoretic approach to statistical problems, randomized and nonrandomized decision rules, comparison of decision rules, Bayes decision rules, construction of Bayes decision rules when the number of possible decisions is finite and infinite, and linear programming as a computational rule.
M571M572 Analysis of Numerical Methods III (33 cr.) P: M441M442 and M413M414. Solution of systems of linear equations, elimination and iterative methods, error analyses, eigenvalue problems; numerical methods for integral equations and ordinary differential equations; finite difference, finite element, and Galerkin methods for partial differential equations; stability of methods.
M583 Set Theory (3 cr.) P: M482 or M511 or M521. ZermeloFraenkel axioms for set theory, wellfoundedness and wellorderings, induction and recursion, ordinals and cardinals, axiom of choice, cardinal exponentiation, generalized continuum hypothesis, infinite combinatorics and large cardinals. Martin’s axiom, applications to analysis and topology.
M584 Recursion Theory (3 cr.) P: one of M482, M511, M521 or CSCI C452; or consent of instructor. Classes of recursive functions, models of computation, Church’s thesis, normal forms, recursion theorem, recursively enumerable sets, reducibilities, lattice of r.e. sets, jump operator, priority arguments, degrees of unsolvability and hierarchies.
M590 Seminar (3 cr.)
M595M596 Seminar in the Teaching of College Mathematics III (11 cr.) Methods of teaching undergraduate college mathematics. Does not count toward meeting any of the 500level requirements toward an M.A. or Ph.D.
M599 Colloquium (1 cr.) Attendance at Department of Mathematics colloquia required. May be repeated. May not be used in fulfillment of the 36 credit hours of 500, 600, or 700level course work required for the Ph.D. Also not applicable to 30 credit hours for master’s degree.
M601M602 Algebraic Number Theory III (33 cr.) P: M501M502. Valuations, fields of algebraic functions, cohomology of groups, local and global class field theory.
M607M608 Group Representations III (33 cr.) P: consent of instructor. Review of abstract group theory. Representation theory of finite and infinite compact groups. Detailed study of selected classical groups. Lie groups, covering groups, Lie algebras, invariant measure and induced representations. May be taught in alternate years by members of the Departments of Mathematics and Physics; see PHYS P607.
M611M612 Functional Analysis III (33 cr.) Fundamentals of the theory of vector spaces; Banach spaces; Hilbert space. Linear functionals and operators in such spaces, spectral resolution of operators. Functional equations: applications to fields of analysis, such as integration and measure, integral equations, ordinary and partial differential equations, ergodic theory. Nonlinear problems. SchauderLeray fixedpoint theorem and its applications to fundamental existence theorems of analysis.
M621M622 Algebraic Topology III (33 cr.) P: M522. Basic concepts of homological algebra, universal coefficient theorems for homology and cohomology, Künneth formula, duality in manifolds. Homotopy theory including Hurewicz and Whitehead theorems, classifying spaces, Postnikov systems, spectral sequences, homotopy groups of spheres. Offered every other year, alternating with M623M624.
M623M624 Geometric Topology III (33 cr.) P: M522. Topics in geometric topology chosen from Ktheory, simple homotopy theory, topology of manifolds, fiber bundles, knot theory, and related areas. May be taken more than once. Offered every other year, alternating with M621M622.
M630 Algebraic Geometry (3 cr.) A study in the plane, based on homogeneous point and line coordinates; a study of algebraic curves and envelopes, including such topics as invariants, singularities, reducibility, genus, polar properties, Pascal and Brainchon theorems, and Jacobian, Hessian, and Plücker formulas.
M633M634 Algebraic Varieties III (33 cr.) Topological and algebraic properties of algebraic varieties.
M635M636 Relativity III (33 cr.) Mathematical foundations of the theory of relativity. Lorentz groups, MichelsonMorley experiment, aberration of stars, Fizeau experiment, kinematic effects, relativistic second law of Newton, relativistic kinetic energy, Maxwell equations, ponderomotive equations. Curvature tensor and its algebraic identities, Bianchi’s identity, gravitation and geodesics. Schwarzschild solution, relativistic orbits, deflection of light.
M637 Theory of Gravitation (3 cr.) P: consent of instructor. The general theory of relativity and its observational basis. Discussion of attempts at a quantum field theory of gravitation. May be taught in alternate years by members of the Department of Physics; see PHYS P637.
A641 Elliptic Differential Equations (3 cr.) P: M511, M513, M540, or consent of instructor. Green’s identity, fundamental solutions, function theoretic methods, partition of unity, weak and strong derivatives, Sobolev inequalities, embedding theorems, Garding’s inequality, Dirichlet problem, existence theory, regularity in the interior, regularity on the boundary, and selected topics.
A642 Evolution Equations (3 cr.) P: M511, M513, M540, or consent of instructor. Hyperbolic equations and systems, parabolic equations, Cauchy problems in higher dimension, method of descent, fundamental solutions and their construction, strongly continuous semigroups, analytic semigroups, uniqueness theorems in Hilbert space, fractional powers of operators, analyticity of solutions, and selected topics.
A643 Integral Equations (3 cr.) Covers the VolterraFredholm theory of integral equations and the abstract Riesz theory of compact operators. Other topics include ideals of compact operators, Fredholm operators, convolution equations and their relationship to Toeplitz operators, WienerHopf factorization.
M647 Mathematical Physics (3 cr.) P: M541 or consent of instructor. Applications of the theory of normed linear spaces, distributions, unbounded operators in Hilbert space, and related topics to problems in mathematical physics. May be taught in alternate years by members of the Department of Physics; see PHYS P647.
M655 Mathematical Foundations of Quantum Mechanics (3 cr.) P: consent of instructor. Philosophical and mathematical analysis of the concepts: quantum observable, compatibility, quantum state, superposition principle, symmetry. Axiomatic construction of conventional quantum mechanics. May be taught in alternate years by members of the Department of Physics; see PHYS P655.
M656M657 Kinetic Theory and Statistical Mechanics III (33 cr.) Introduction to the classical theory and modern developments. Historical development of kineticstatistical theories; rigorous equilibrium statistics; kinetic gas dynamics according to Boltzmann equation; kinetic theories of transport processes in liquids. May be taught in alternate years by members of the Departments of Mathematics and Physics; see PHYS P656P657.
M658M659 Continuum Mechanics III (33 cr.) P: consent of instructor. Twosemester course dealing with mathematical foundations of continuum mechanics; content varies yearly; topics selected from elasticity, plasticity, or fluid mechanics and related areas.
M662 Nonparametric Statistics II (3 cr.) P: M565, M566, M561, or consent of instructor. Multisample problems. Ranking methods in analysis of variance. Bivariate and multivariate procedures. Efficiency comparisons. Recent developments.
M663 Weak Convergence of Probability Measures and Applications (3 cr.) P: M512, M564. Weak convergence of probability measures on metric spaces. Prohorov’s theorem and tightness. Brownian motion. Donsker’s invariance principle. Weak convergence on D [0,1]. Convergence of empirical distributions. Functional central limit theorems under dependence.
M664 Large Sample Theory of Statistics (3 cr.) P: M563, M566. Asymptotic distributions of sample moments, sample quantiles, and Ustatistics; methods of estimation: maximum likelihood estimates, method of moments, Lestimators, Bayes estimators; asymptotic efficiency; likelihood ratio tests, chisquare tests, asymptotic relative efficiencies of tests; weak convergence of the empirical distribution function to a Brownian bridge and application; selection of topics from the following: large deviations, secondorder asymptotic efficiency, bootstrap rank tests.
M671M672 Numerical Treatment of Differential and Integral Equations III (33 cr.) P: M540 or consent of instructor. Finite difference methods of ordinary and partial differential equations; relaxation methods; discrete kernel functions; methods of Ritz, Galerkin, and Trefftz approximate methods for integral equations.
M680 Logic and Decidability (3 cr.) P: M584 and M404; or consent of instructor. Effective syntax and semantics of propositional and firstorder logics, theory of decidability and some decidable theories, theory of undecidability and implicit definability, Gödel’s theorems on incompleteness and the unprovability of consistency.
M682 Model Theory (3 cr.) P: M583, M680, and M502; or consent of instructor. Elementary equivalence, completeness and modelcompleteness, interpolation, preservation and characterization theorems, elementary classes, types, saturated structures, introduction to categoricity and stability.
M701M702 Selected Topics in Algebra III (33 cr.)
M711M712 Selected Topics in Analysis III (33 cr.)
M721M722 Selected Topics in Topology III (33 cr.)
M731M732 Selected Topics in Differential Geometry III (33 cr.)
M733M734 Selected Topics in Algebraic Geometry III (33 cr.)
M741M742 Selected Topics in Applied Mathematics III (33 cr.)
M743M744 Selected Topics in Mathematical Physics III (33 cr.) Content varies from year to year. May be taught in alternate years by members of the Department of Physics; see PHYS P743.
M751M752 Selected Topics in Mechanics III (33 cr.)
M761M762 Selected Topics in Statistics and Probability III (33 cr.)
M771M772 Selected Topics in Numerical Analysis III (33 cr.)
M781M782 Selected Topics in Mathematical Logic (33 cr.)
M800 Mathematical Reading and Research (cr. arr.)* Intended primarily for graduate students who have passed the qualifying examination.
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^{1} These courses do not ordinarily carry credit toward the M.A. or Ph.D. degree in mathematics. They may, however, be taken by M.A.T. students and graduate students in other departments for graduate credit.
^{2} Does not count toward the area requirements for the M.A. and Ph.D. degrees in mathematics.
