2013-2014 Graduate Studies Bulletin [Archived Catalog]
Mathematics|
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Jerrold R. Griggs, Chair
Overview (NEW SPRING 2010)
The Department of Mathematics has evolved into one of the premier centers in the Southeast for mathematics research and education. Its masters and doctoral programs have been cited for excellence by the S.C. Commission on Higher Education. With its internationally renowned faculty and supportive atmosphere, the department provides a stimulating environment for graduate studies. As the face of mathematics changes, the department responds with appropriate curriculum additions and revisions.
The department’s degree programs provide first the core fundamentals, and then the specialized expertise and interdisciplinary skills required of the modern mathematician. Training for those who
wish to pursue a career in teaching, those who plan mathematics-related careers in business, government, or industry, and those who wish to obtain the intensive training that will lead them into the contemporary research community is available.
The Department of Mathematics offers programs leading to the Master of Arts, Master of Science, and Doctor of Philosophy, including a Ph.D. option of a Concentration in Applied and Computational Mathematics. This Concentration emphasizes core mathematics that leads to the frontiers of research both within applied and computational mathematics and cuts across disciplinary boundaries.
The department also offers programs leading to the Master of Mathematics and, in conjunction with the College of Education, a program leading to the degree of Master of Arts in Teaching. A description of the basic M.A.T. requirements appears in the College of Education section of the Graduate Studies Bulletin.
For more comprehensive general information, see the website www.math.sc.edu/graduate. Inquires concerning individual cases should be directed to: Director of Graduate Studies, Department of Mathematics, University of South Carolina, Columbia, SC 29208; email: graddir@math.sc.edu.
For admission into the M.S., M.A., or Ph.D. degree programs, applicants must have a bachelor’s degree from an approved institution and should have an undergraduate foundation in mathematics equivalent to that of a major in mathematics at the University of South Carolina. At a minimum, this should include a course in abstract algebra (equivalent to MATH 546) and one in advanced calculus (equivalent to MATH 554). A one year sequence in each is desirable. A minimum B (3.0) average in all college-level math courses is required for full admission. Applicants who do not have this preparation may be conditionally admitted and placed in such undergraduate courses as necessary to strengthen their backgrounds.
Applicants should submit an official transcript from each school or college previously attended, at least two letters of recommendation from persons familiar with their abilities in mathematics, and an official report of scores achieved on the GRE. A GRE score of at least 700 on the quantitative portion is expected. Applicants whose native language is not English are also required to submit a satisfactory score on the iBT TOEFL exam. The minimum score for admission to the rogram is 88. A minimum iBT TOEFL score of 100 is required for consideration for a teaching assistantship; there are also minimum levels for each sub-category (listening, speaking, reading, writing), which can be viewed on the departmental website. The GRE Mathematics Subject Exam is not required, but a strong score enhances the probability of admission with assistantship and the possibility of a supplemental fellowship.
For admission to the M.M. or M.A.T. degree programs, applicants must have a bachelor’s degree from an approved institution and have completed multivariable calculus (Calculus III, equivalent to MATH 241). Further, it is desirable that they have completed six credit hours in mathematics beyond multivariable calculus. At least a B (3.0) average for all college level mathematics courses is expected. Applicants with background deficiencies may be admitted on a conditional basis and placed in certain dual undergraduate/graduate courses to strengthen their foundation. Course work below the 500-level can not be used toward these degrees. Applicants should submit an official transcript from each school or college previously attended, at least two letters of recommendation from persons familiar with their abilities in mathematics, and a report of scores achieved on the GRE. A combined GRE score of 1000 is expected, with at least 550 on the quantitative portion.
Application materials should be submitted as much as possible online at http://www.gradschool.sc.edu/apply.htm, or be mailed to: The Graduate School, University of South Carolina, Columbia, SC 29208.
There are certain requirements imposed by the Graduate School on all programs. We reiterate only the most pertinent ones here; others appear elsewhere in this Bulletin, and are routinely fulfilled over the course of the program of study.
The M.S. and M.A. degrees require 30 approved credit hours of course work, at least half of which (excluding the thesis) must be taken at the 700 level or above. In addition, a Comprehensive Examination taken upon conclusion of the program is required. Both the M.S. and the M.A. degrees require a thesis (3 credits of MATH 799).
Each candidate for the Ph.D. degree is required to complete a minimum of 60 hours of course work beyond the baccalaureate degree, including 12 credit hours of graduate course work separate from the course work covered by the Admission to Candidacy and Comprehensive Examinations (see below) and 12 credit hours of dissertation work (MATH 899). The Ph.D. program has three examinations: Admission to Candidacy, Comprehensive, and Doctoral Defense.
Note that “credit hours” are not earned if a course is taken on an “Audit” basis. Courses labeled 7xx-I may not be used to satisfy M.S., M.A., or Ph.D. requirements except in rare circumstances, and only by special permission. These courses are designed for the M.M. and M.A.T. programs.
Programs and Courses
Mathematics|
MATH 511 - Probability| Credits: 3
Probability and independence; discrete and continuous random variables; joint, marginal, and conditional densities, moment generating functions; laws of large numbers; binomial, Poisson, gamma, univariate, and bivariate normal distributions.
Cross-listed Course: STAT 511
Prerequisites: Grade of C or higher or concurrent enrollment in MATH 241
MATH 514 - Financial Mathematics I| Credits: 3
Probability spaces. Random variables. Mean and variance. Geometric Brownian Motion and stock price dynamics. Interest rates and present value analysis. Pricing via arbitrage arguments. Options pricing and the Black-Scholes formula.
Cross-listed Course: STAT 522
Prerequisites: a grade of C or higher in MATH 241
MATH 515 - Financial Mathematics II| Credits: 3
Convex sets. Separating Hyperplane Theorem. Fundamental Theorem of Asset Pricing. Risk and expected return. Minimum variance portfolios. Capital Asset Pricing Model. Martingales and options pricing. Optimization models and dynamic programming.
Cross-listed Course: STAT 523
Prerequisites: MATH 514 or STAT 522 with a grade of C or better
MATH 520 - Ordinary Differential Equations| Credits: 3
Differential equations of the first order, linear systems of ordinary differential equations, elementary qualitative properties of nonlinear systems.
Prerequisites: MATH 544 or 526; or consent of department
MATH 521 - Boundary Value Problems and Partial Differential Equations| Credits: 3
Laplace transforms, two-point boundary value problems and Green’s functions, boundary value problems in partial differential equations, eigenfunction expansions and separation of variables, transform methods for solving PDE’s, Green’s functions for PDE’s, and the method of characteristics.
Prerequisites: MATH 520 or MATH 241 and 242
MATH 522 - Wavelets| Credits: 3
Basic principles and methods of Fourier transforms, wavelets, and multiresolution analysis; applications to differential equations, data compression, and signal and image processing; development of numerical algorithms. Computer implementation.
Prerequisites: MATH 544 or 526 or consent of department
MATH 523 - Mathematical Modeling of Population Biology| Credits: 3
Applications of differential and difference equations and linear algebra modeling the dynamics of populations, with emphasis on stability and oscillation. Critical analysis of current publications with computer simluation of models.
Prerequisites: MATH 142, BIOL 301, or MSCI 311 recommended
MATH 524 - Nonlinear Optimization| Credits: 3
Descent methods, conjugate direction methods, and Quasi-Newton algorithms for unconstrained optimization; globally convergent hybrid algorithm; primal, penalty, and barrier methods for constrained optimization. Computer implementation of algorithms.
Prerequisites: MATH 526 or 544 or consent of department
MATH 525 - Mathematical Game Theory| Credits: 3
Two-person zero-sum games, minimax theorem, utility theory, n-person games, market games, stability.
Prerequisites: MATH 526 or 544
MATH 526 - Numerical Linear Algebra| Credits: 4
Matrix algebra, Gauss elimination, iterative methods; overdetermined systems and least squares; eigenvalues, eigenvectors; numerical software. Computer implementation. Credit may not be received for both MATH 526 and MATH 544.
Corequisite: Prereq or coreq: MATH 241
Prerequisites: Prereq or coreq: MATH 241
Note: Three lectures and one laboratory hour per week.
MATH 527 - Numerical Analysis| Credits: 3
Interpolation and approximation of functions; solution of algebraic equations; numerical differentiation and integration; numerical solutions of ordinary differential equations and boundary value problems; computer implementation of algorithms.
Cross-listed Course: CSCE 561
Prerequisites: MATH 242 or 520
MATH 531 - Foundations of Geometry| Credits: 3
The study of geometry as a logical system based upon postulates and undefined terms. The fundamental concepts and relations of Euclidean geometry developed rigorously on the basis of a set of postulates. Some topics from non-Euclidean geometry.
Prerequisites: MATH 241
MATH 532 - Modern Geometry| Credits: 3
Projective geometry, theorem of Desargues, conics, transformation theory, affine geometry, Euclidean geometry, non-Euclidean geometries, and topology.
Prerequisites: MATH 241
MATH 533 - Elementary Geometric Topology| Credits: 3
Topology of the line, plane, and space, Jordan curve theorem, Brouwer fixed point theorem, Euler characteristic of polyhedra, orientable and non-orientable surfaces, classification of surfaces, network topology.
Prerequisites: MATH 241
MATH 534 - Elements of General Topology| Credits: 3
Elementary properties of sets, functions, spaces, maps, separation axioms, compactness, completeness, convergence, connectedness, path connectedness, embedding and extension theorems, metric spaces, and compactification.
Prerequisites: MATH 250 or 241
MATH 540 - Modern Applied Algebra| Credits: 3
Finite structures useful in applied areas. Binary relations, Boolean algebras, applications to optimization, and realization of finite state machines.
Prerequisites: MATH 250 or 241
MATH 541 - Algebraic Coding Theory| Credits: 3
Error-correcting codes, polynomial rings, cyclic codes, finite fields, BCH codes.
Prerequisites: MATH 526 or MATH 544 or consent of department
MATH 544 - Linear Algebra| Credits: 3
Matrix algebra, solution of linear systems; notions of vector space, independence, basis, dimension; linear transformations, change of basis; eigenvalues, eigenvectors, Hermitian matrices, diagonalization; Cayley-Hamilton theorem. Credit may not be received for both MATH 526 and MATH 544.
Corequisite: Prereq or coreq: 241
Prerequisites: Prereq or coreq: 241
MATH 546 - Algebraic Structures I| Credits: 3
Permutation groups; abstract groups; introduction to algebraic structures through study of subgroups, quotient groups, homomorphisms, isomorphisms, direct product; decompositions; introduction to rings and fields.
Prerequisites: MATH 241
MATH 547 - Algebraic Structures II| Credits: 3
Rings, ideals, polynomial rings, unique factorization domains; structure of finite groups; topics from: fields, field extensions, Euclidean constructions, modules over principal ideal domains (canonical forms).
Prerequisites: MATH 546
MATH 550 - Vector Analysis| Credits: 3
Vector fields, line and path integrals, orientation and parametrization of lines and surfaces, change of variables and Jacobians, oriented surface integrals, theorems of Green, Gauss, and Stokes; introduction to tensor analysis.
Prerequisites: MATH 241
MATH 551 - Introduction to Differential Geometry| Credits: 3
Parametrized curves, regular curves and surfaces, change of parameters, tangent planes, the differential of a map, the Gauss map, first and second fundamental forms, vector fields, geodesics, and the exponential map.
Prerequisites: MATH 241
MATH 552 - Applied Complex Variables| Credits: 3
Complex integration, calculus of residues, conformal mapping, Taylor and Laurent Series expansions, applications.
Prerequisites: MATH 241
MATH 554 - Analysis I| Credits: 3
Least upper bound axiom, the real numbers, compactness, sequences, continuity, uniform continuity, differentiation, Riemann integral and fundamental theorem of calculus.
Prerequisites: MATH 241
MATH 555 - Analysis II| Credits: 3
Riemann-Stieltjes integral, infinite series, sequences and series of functions, uniform convergence, Weierstrass approximation theorem, selected topics from Fourier series or Lebesgue integration.
Prerequisites: MATH 554 or consent of department
MATH 561 - Introduction to Mathematical Logic| Credits: 3
Syntax and semantics of formal languages; sentential logic, proofs in first order logic; Godel’s completeness theorem; compactness theorem and applications; cardinals and ordinals; the Lowenheim-Skolem-Tarski theorem; Beth’s definability theorem; effectively computable functions; Godel’s incompleteness theorem; undecidable theories.
Prerequisites: MATH 241
MATH 562 - Theory of Computation| Credits: 3
Basic theoretical principles of computer science as modeled by formal languages and automata; computability and computational complexity. Major credit may not be received for both CSCE 355 and CSCE 551.
Cross-listed Course: CSCE 551
Prerequisites: CSCE 350 or MATH 526 or 544 or 574
MATH 570 - Discrete Optimization| Credits: 3
Discrete mathematical models. Applications to such problems as resource allocation and transportation. Topics include linear programming, integer programming, network analysis, and dynamic programming.
Prerequisites: MATH 526 or 544
MATH 574 - Discrete Mathematics I| Credits: 3
Mathematical models; mathematical reasoning; enumeration; induction and recursion; tree structures; networks and graphs; analysis of algorithms.
Prerequisites: MATH 142
MATH 575 - Discrete Mathematics II| Credits: 3
A continuation of MATH 574. Inversion formulas; Polya counting; combinatorial designs; minimax theorems; probabilistic methods; Ramsey theory; other topics.
Prerequisites: MATH 574
MATH 576 - Combinatorial Game Theory| Credits: 3
Winning in certain combinatorial games such as Nim, Hackenbush, and Domineering. Equalities and inequalities among games, Sprague-Grundy theory of impartial games, games which are numbers.
Prerequisites: MATH 526, 544, or 574
MATH 580 - Elementary Number Theory| Credits: 3
Divisibility, primes, congruences, quadratic residues, numerical functions. Diophantine equations.
Prerequisites: MATH 241
MATH 587 - Introduction to Cryptography| Credits: 3
Design of secret codes for secure communication, including encryption and integrity verification: ciphers, cryptographic hashing, and public key cryptosystems such as RSA. Mathematical principles underlying encryption. Code-breaking techniques. Cryptographic protocols.
Cross-listed Course: CSCE 557
Prerequisites: CSCE 145, MATH 250 or 241, and either CSCE 355 or MATH 574
MATH 590 - Undergraduate Seminar| Credits: 1-3
A review of literature in specific subject areas involving student presentations. Content varies and will be announced in the Master Schedule of Classes by suffix and title. Pass-fail grading. For undergraduate credit only.
Prerequisites: consent of instructor
MATH 599 - Topics in Mathematics| Credits: 1-3
Recent developments in pure and applied mathematics selected to meet current faculty and student interest.
MATH 602 - An Inductive Approach to Geometry| Credits: 3
This course is designed for middle-level pre-service mathematics teachers. This course covers geometric reasoning, Euclidean geometry, congruence, area, volume, similarity, symmetry, vectors, and transformations. Dynamic software will be utilized to explore geometry concepts.
Prerequisites: MATH 122 or 141
Note: This course cannot be used for credit toward a major in mathematics.
MATH 603 - Inquiry Approach to Algebra| Credits: 3
This course introduces basic concepts in number theory and modern algebra that provide the foundation for middle level arithmetic and algebra. Topics include: algebraic reasoning, patterns, inductive reasoning, deductive reasoning, arithmetic and algebra of integers, algebraic systems, algebraic modeling, and axiomatic mathematics. This course cannot be used for credit towards a major in mathematics.
Prerequisites: A grade of C or higher in MATH 122 or MATH 141 or equivalent
MATH 650 - AP Calculus for Teachers| Credits: 3
A thorough study of the topics to be presented in AP calculus, including limits of functions, differentiation, integration, infinite series, and applications. (Not intended for degree programs in mathematics.)
Prerequisites: current secondary high school teacher certification in mathematics and at least 6 hours of calculus
MATH 700 - Linear Algebra| Credits: 3
Vector spaces, linear transformations, dual spaces, decompositions of spaces, and canonical forms.
MATH 701 - Algebra I| Credits: 3
Algebraic structures, sub-structures, products, homomorphisms, and quotient structures of groups, rings, and modules.
MATH 701I - Foundations of Algebra I| Credits: 3
An introduction to algebraic structures; group theory including subgroups, quotient groups, homomorphisms, isomorphisms, decomposition; introduction to rings and fields.
Prerequisites: MATH 241 or equivalent
MATH 702 - Algebra II| Credits: 3
Fields and field extensions. Galois theory, topics from, transcendental field extensions, algebraically closed fields, finite fields.
Prerequisites: MATH 701
MATH 702I - Foundations of Algebra II| Credits: 3
Theory of rings including ideals, polynomial rings, and unique factorization domains; structure of finite groups; fields; modules.
Prerequisites: MATH 701-I or equivalent
MATH 703 - Analysis I| Credits: 3
Compactness, completeness, continuous functions. Outer measures, measurable sets, extension theorem and Lebesgue-Stieltjes measure. Integration and convergence theorems. Product measures and Fubini’s theorem. Differentiation theory. Theorems of Egorov and Lusin. Lp-spaces. Analytic functions: Cauchy-Riemann equations, elementary special functions. Conformal mappings. Cauchy’s integral theorem and formula. Classification of singularities, Laurent series, the Argument Principle. Residue theorem, evaluation of integrals and series.
MATH 703I - Foundations of Analysis I| Credits: 3
The real numbers and least upper bound axiom; sequences and limits of sequences; infinite series; continuity; differentiation; the Riemann integral.
Prerequisites: MATH 241 or equivalent
MATH 704 - Analysis II| Credits: 3
Compactness, completeness, continuous functions. Outer measures, measurable sets, extension theorem and Lebesgue-Stieltjes measure. Integration and convergence theorems. Product measures and Fubini’s theorem. Differentiation theory. Theorems of Egorov and Lusin. Lp-spaces. Analytic functions: Cauchy-Riemann equations, elementary special functions. Conformal mappings. Cauchy’s integral theorem and formula. Classification of singularities, Laurent series, the Argument Principle. Residue theorem, evaluation of integrals and series.
MATH 704I - Foundations of Analysis II| Credits: 3
Sequences and series of functions; power series, uniform convergence; interchange of limits; limits and continuity in several variables.
Prerequisites: MATH 703-I or equivalent
MATH 705 - Analysis III| Credits: 3
Signed and complex measures, Radon-Nikodym theorem, decomposition theorems. Metric spaces and topology, Baire category, Stone-Weierstrass theorem, Arzela-Ascoli theorem. Introduction to Banach and Hilbert spaces, Riesz representation theorems.
Prerequisites: MATH 703, 704
MATH 708 - Foundations of Computational Mathematics I| Credits: 3
Approximation of functions by algebraic polynomials, splines, and trigonometric polynomials; numerical differentiation; numerical integration; orthogonal polynomials and Gaussian quadrature; numerical solution of nonlinear systems, unconstrained optimization.
Prerequisites: Math 554 or equivalent upper level undergraduate course in Real Analysis
MATH 709 - Foundations of Computational Mathematics II| Credits: 3
Vectors and matrices; QR factorization; conditioning and stability; solving systems of equations; eigenvalue/eigenvector problems; Krylov subspace iterative methods; singular value decomposition. Includes theoretical development of concepts and practical algorithm implementation.
Prerequisites: Math 544 or 526, or equivalent upper level undergraduate courses in Linear Algebra
MATH 710 - Probability Theory I| Credits: 3
Probability spaces, random variables and distributions, expectations, characteristic functions, laws of large numbers, and the central limit theorem.
Cross-listed Course: STAT 810
Prerequisites: STAT 511, 512, or MATH 703
MATH 711 - Probability Theory II| Credits: 3
More about distributions, limit theorems, Poisson approximations, conditioning, martingales, and random walks.
Cross-listed Course: STAT 811
Prerequisites: MATH 710
MATH 712I - Probability and Statistics| Credits: 3
This course will include a study of permutations and combinations; probability and its application to statistical inferences; elementary descriptive statistics of a sample of measurements; the binomial, Poisson, and normal distributions; correlation and regression.
MATH 720 - Applied Mathematics I| Credits: 3
Modeling and solution techniques for differential and integral equations from sciences and engineering, including a study of boundary and initial value problems, integral equations, and eigenvalue problems using transform techniques, Green’s
functions, and variational principles.
Prerequisites: MATH 555 and MATH 520 or equivalent
MATH 721 - Applied Mathematics II| Credits: 3
Foundations of approximation of functions by Fourier series in Hilbert space; fundamental PDEs in mathematical physics; fundamental equations for continua; integral and differential operators in Hilbert spaces. Basic modeling theory and solution techniques for stochastic differential equations.
Prerequisites: MATH 720
MATH 722 - Numerical Optimization| Credits: 3
Topics in optimization; includes linear programming, integer programming, gradient methods, least squares techniques, and discussion of existing mathematical software.
Prerequisites: graduate standing or consent of the department
MATH 723 - Differential Equations| Credits: 3
Elliptic equations: fundamental solutions, maximum principles, Green’s function, energy method and Dirichlet principle; Sobolev spaces: weak derivatives, extension and trace theorems; weak solutions and Fredholm alternative, regularity, eigenvalues and eigenfunctions.
Prerequisites: Math 703/704 or permission of instructor
MATH 724 - Differential Equations II| Credits: 3
Detailed study of the following topics: method of characteristics; Hamilton-Jacobi equations; conservation laws; heat equation; wave equation; linear parabolic equations; linear hyperbolic equations.
Prerequisites: MATH 723
MATH 725 - Approximation Theory| Credits: 3
Approximation of functions; existence, uniqueness and characterization of best approximants; Chebyshev’s theorem; Chebyshev polynomials; degree of approximation; Jackson and Bernstein theorems; B-splines; approximation by splines; quasi-interpolants; spline interpolation.
Corequisite: Prereq or coreq: MATH 703
Prerequisites: Prereq or coreq: MATH 703
MATH 726 - Numerical Differential Equations I| Credits: 3
Elliptic equations: fundamental solutions, maximum principles, Green’s function, energy method and Dirichlet principle; Sobolev spaces: weak derivatives, extension and trace theorems; weak solutions and Fredholm alternative, regularity, eigenvalues and eigenfunctions.
Prerequisites: Math 708/709, or permission of instructor
MATH 727 - Numerical Differential Equations II| Credits: 3
Ritz and Galerkin weak formulation. Finite element, mixed finite element, collocation methods for elliptic, parabolic, and hyperbolic PDEs, including development, implementation, stability, consistency, convergence analysis, and error estimates.
Prerequisites: 726
MATH 728 - Selected Topics in Applied Mathematics| Credits: 3
Course content varies and will be announced in the schedule of classes by suffix and title.
MATH 729 - Nonlinear Approximation| Credits: 3
Nonlinear approximation from piecewise polynomial (spline) functions in the univariate and multivariate case, characterization of the approximation spaces via Besov spaces and interpolation, Newman’s and Popov’s theorems for rational approximation, characterization of the approximation spaces of rational approximation, nonlinear n-term approximation from bases in Hilbert spaces and from unconditional bases in Lp (p>1), greedy algorithms, application of nonlinear approximation to image compression.
Prerequisites: MATH 703
MATH 730 - General Topology I| Credits: 3
Topological spaces, filters, compact spaces, connected spaces, uniform spaces, complete spaces, topological groups, function spaces.
MATH 731 - General Topology II| Credits: 3
Topological spaces, filters, compact spaces, connected spaces, uniform spaces, complete spaces, topological groups, function spaces.
MATH 732 - Algebraic Topology I| Credits: 3
The fundamental group, homological algebra, simplicial complexes, homology and cohomology groups, cup-product, triangulable spaces.
Prerequisites: MATH 730 or 705, and 701
MATH 733 - Algebraic Topology II| Credits: 3
The fundamental group, homological algebra, simplicial complexes, homology and cohomology groups, cup-product, triangulable spaces.
Prerequisites: MATH 730 or 705, and 701
MATH 734 - Differential Geometry| Credits: 3
Differentiable manifolds; classical theory of surfaces and hypersurfaces in Euclidean space; tensors, forms and integration of forms; connections and covariant differentiation; Riemannian manifolds; geodesics and the exponential map; curvature; Jacobi fields and comparison theorems, generalized Gauss-Bonnet theorem.
Prerequisites: MATH 550
MATH 735 - Lie Groups| Credits: 3
Manifolds; topological groups, coverings and covering groups; Lie groups and their Lie algebras; closed subgroups of Lie groups; automorphism groups and representations; elementary theory of Lie algebras; simply connected Lie groups; semisimple Lie groups and their Lie algebras.
Prerequisites: MATH 705 or 730
MATH 736I - Modern Geometry| Credits: 3
Synthetic and analytic projective geometry, homothetic transformations, Euclidean geometry, non-Euclidean geometries, and topology.
Prerequisites: MATH 241 or equivalent
MATH 738 - Selected Topics in Geometry and Topology| Credits: 3
Course content varies and will be announced in the schedule of classes by suffix and title.
MATH 741 - Algebra III| Credits: 3
Theory of groups, rings, modules, fields and division rings, bilinear forms, advanced topics in matrix theory, and homological techniques.
Prerequisites: MATH 702
MATH 742 - Representation Theory| Credits: 3
Representation and character theory of finite groups (especially the symmetric group) and/or the general linear group, Young tableaux, the Littlewood Richardson rule, and Schur functors.
Prerequisites: MATH 702
MATH 743 - Lattice Theory| Credits: 3
Sublattices, homomorphisms and direct products of lattices; freely generated lattices; modular lattices and projective geometries; the Priestley and Stone dualities for distributive and Boolean lattices; congruence relations on lattices.
Prerequisites: MATH 740
MATH 744 - Matrix Theory| Credits: 3
Extremal properties of positive definite and hermitian matrices, doubly stochastic matrices, totally non-negative matrices, eigenvalue monotonicity, Hadamard-Fisher determinantal inequalities.
Prerequisites: MATH 700
MATH 746 - Communtative Algebra| Credits: 3
Prime spectrum and Zariski topology; finite, integral, and flat extensions; dimension; depth; homological techniques, normal and regular rings.
Prerequisites: MATH 701
MATH 747 - Algebraic Geometry| Credits: 3
Properties of affine and projective varieties defined over algebraically closed fields, rational mappings, birational geometry and divisors especially on curves and surfaces, Bezout’s theorem, Riemann-Roch theorem for curves.
Prerequisites: MATH 701
MATH 748 - Selected Topics in Algebra| Credits: 3
Course content varies and will be announced in the schedule of classes by suffix and title.
MATH 750 - Fourier Analysis| Credits: 3
The Fourier transform on the circle and line, convergence of Fejer means; Parseval’s relation and the square summable theory, convergence and divergence at a point; conjugate Fourier series, the conjugate function and the Hilbert transform, the Hardy-Littlewood maximal operator and Hardy spaces.
Prerequisites: MATH 703 and 704
MATH 751 - The Mathematical Theory of Wavelets| Credits: 3
The L1 and L2 theory of the Fourier transform on the line, bandlimited functions and the Paley-Weiner theorem, Shannon-Whittacker Sampling Theorem, Riesz systems, Mallat-Meyer multiresolution analysis in Lebesgue spaces, scaling functions, wavelet constructions, wavelet representation and unconditional bases, nonlinear approximation, Riesz’s factorization lemma, and Daubechies’ compactly supported wavelets.
Prerequisites: MATH 703
MATH 752 - Complex Analysis| Credits: 3
Normal families, meromorphic functions, Weierstrass product theorem, conformal maps and the Riemann mapping theorem, analytic continuation and Riemann surfaces, harmonic and subharmonic functions.
Prerequisites: MATH 703, 704
MATH 752I - Complex Variables| Credits: 3
Properties of analytic functions, complex integration, calculus of residues, Taylor and Laurent series expansions, conformal mappings.
Prerequisites: MATH 241 or equivalent
MATH 754 - Several Complex Variables| Credits: 3
Properties of holomorphic functions of several variables, holomorphic mappings, plurisubharmonic functions, domains of convergence of power series, domains of holomorphy and pseudoconvex domains, harmonic analysis in several variables.
Prerequisites: MATH 703 and 704
MATH 755 - Applied Functional Analysis| Credits: 3
Banach spaces, Hilbert spaces, spectral theory of bounded linear operators, Fredholm alternatives, integral equations, fixed point theorems with applications, least square approximation.
Prerequisites: MATH 703
MATH 756 - Functional Analysis I| Credits: 3
Linear topological spaces; Hahn-Banach theorem; closed graph theorem; uniform boundedness principle; operator theory; spectral theory; topics from linear differential operators or Banach algebras.
Prerequisites: MATH 704
MATH 757 - Functional Analysis II| Credits: 3
Linear topological spaces; Hahn-Banach theorem; closed graph theorem; uniform boundedness principle; operator theory; spectral theory; topics from linear differential operators or Banach algebras.
Prerequisites: MATH 704
MATH 758 - Selected Topics in Analysis| Credits: 3
Course content varies and will be announced in the schedule of classes by suffix and title.
MATH 760 - Set Theory| Credits: 3
An axiomatic development of set theory: sets and classes; recursive definitions and inductive proofs; the axiom of choice and its consequences; ordinals; infinite cardinal arithmetic; combinatorial set theory.
MATH 761 - The Theory of Computable Functions| Credits: 3
Models of computation; recursive functions, random access machines, Turing machines, and Markov algorithms; Church’s Thesis; universal machines and recursively unsolvable problems; recursively enumerable sets; the recursion theorem; the undecidability of elementary arithmetic.
MATH 762 - Model Theory| Credits: 3
First order predicate calculus; elementary theories; models, satisfaction, and truth; the completeness, compactness, and omitting types theorems; countable models of complete theories; elementary extensions; interpolation and definability; preservation theorems; ultraproducts.
MATH 768 - Selected Topics in Foundations of Mathematics| Credits: 3
Course content varies and will be announced in the schedule of classes by suffix and title.
MATH 770 - Discrete Optimization| Credits: 3
The application and analysis of algorithms for linear programming problems, including the simplex algorithm, algorithms and complexity, network flows, and shortest path algorithms. No computer programming experience required.
MATH 774 - Discrete Mathematics I| Credits: 3
An introduction to the theory and applications of discrete mathematics. Topics include enumeration techniques, combinatorial identities, matching theory, basic graph theory, and combinatorial designs.
MATH 775 - Discrete Mathematics II| Credits: 3
A continuation of MATH 774. Additional topics will be selected from: the structure and extremal properties of partially ordered sets, matroids, combinatorical algorithms, matrices of zeros and ones, and coding theory.
Prerequisites: MATH 774 or consent of the instructor
MATH 776 - Graph Theory I| Credits: 3
The study of the structure and extremal properties of graphs, including Eulerian and Hamiltonian paths, connectivity, trees, Ramsey theory, graph coloring, and graph algorithms.
MATH 777 - Graph Theory II| Credits: 3
Continuation of MATH 776. Additional topics will be selected from: reconstruction problems, independence, genus, hypergraphs, perfect graphs, interval representations, and graph-theoretical models.
Prerequisites: MATH 776 or consent of instructor
MATH 778 - Selected Topics in Discrete Mathematics| Credits: 3
Course content varies and will be announced in the schedule of classes by suffix and title.
MATH 780 - Elementary Number Theory| Credits: 3
Diophantine equations, distribution of primes, factoring algorithms, higher power reciprocity, Schnirelmann density, and sieve methods.
MATH 780I - Theory of Numbers| Credits: 3
Elementary properties of integers, Diophantine equations, prime numbers, arithmetic functions, congruences, and the quadratic reciprocity law.
Prerequisites: MATH 241 or equivalent
MATH 782 - Analytic Number Theory I| Credits: 3
The prime number theorem, Dirichlet’s theorem, the Riemann zeta function, Dirichlet’s L-functions, exponential sums, Dirichlet series, Hardy-Littlewood method partitions, and Waring’s problem.
Prerequisites: MATH 580 and 552
MATH 783 - Analytic Number Theory II| Credits: 3
The prime number theorem, Dirichlet’s theorem, the Riemann zeta function, Dirichlet’s L-functions, exponential sums, Dirichlet series, Hardy-Littlewood method partitions, and Waring’s problem.
Prerequisites: MATH 580 and 552
MATH 784 - Algebraic Number Theory| Credits: 3
Algebraic integers, unique factorization of ideals, the ideal class group, Dirichlet’s unit theorem, application to Diophantine equations.
Prerequisites: MATH 546 and 580
MATH 785 - Transcendental Number Theory| Credits: 3
Thue-Siegel-Roth theorem, Hilbert’s seventh problem, diophantine approximation.
Prerequisites: MATH 580
MATH 788 - Selected Topics in Number Theory| Credits: 3
Course content varies and will be announced in the schedule of classes by suffix and title.
MATH 790 - Graduate Seminar| Credits: 1
Although this course is required of all candidates for the master’s degree it is not included in the total credit hours in the master’s program.
Note: Although this course is required of all candidates for the master’s degree it is not included in the total credit hours in the master’s program.
MATH 797 - Mathematics into Print| Credits: 3
The exposition of advanced mathematics emphasizing the organization of proofs and the formulation of concepts; computer typesetting systems for producing mathematical theses, books, and articles.
MATH 798 - Directed Readings and Research| Credits: 1-6
Prerequisites: full admission to graduate study in mathematics
MATH 799 - Thesis Preparation| Credits: 1-9
For master’s candidates
Prerequisites: For master’s candidates
MATH 890 - Graduate Seminar| Credits: 1-3
A review of current literature in specified subject areas involving student presentations. Content varies and will be announced in the schedule of classes by suffix and title. Minimum of 3 credit hours required of all doctoral students.
Note: Pass-Fail grading
MATH 899 - Dissertation Preparation| Credits: 1-12
For doctoral candidates.
Prerequisites: For doctoral candidates.
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