## Graduate Program

#### Contact Us

Graduate Affairs Committee

Department of Mathematics

Middlesex College, 125

Western University

London, ON N6A 5B7

Canada

F: 519.661.3610

Adriana Dimova (Graduate Program Assistant)

# Comprehensive Examination

### Comprehensive Examination for the Ph.D. Degree

The next Part I comprehensive exams are scheduled as follows:

**Algebra** - October 13, 2021 (Wednesday) at 2 PM.

**Analysis **-October 20, 2021 (Wednesday) at 2 PM.

All Mathematics Ph.D. students are required to pass a qualifying/comprehensive examination. This examination is in two parts. Part I consists of two written exams: (1) Algebra and (2) Analysis, with the syllabus for each being based on undergraduate and MSc-level material (see below). The aim of Part I is to ascertain that the candidate has a good overall understanding and working knowledge of the mathematics that will form a basis for further study in the PhD program.

The exams are offered in September/October and May each year. The exams *should* be attempted the first or second time they are offered and *must* be successfully completed by the third time they are offered. At most two attempts at each exam are permitted. This chart explains the timing:

Enter program |
First attempt by |
Pass by |

Sep 2020 | May 2021 | Oct 2021 |

Jan or May 2021 | Oct 2021 | May 2022 |

Sep 2021 | May 2022 | Oct 2022 |

Part II consists of completion of a written paper and oral presentation assigned by the candidate's advisory committee. The objective here is to ascertain that the candidate has the potential to undertake research and to write down results. This is to test his/her familiarity with the background of the intended field of study. This project is assigned within two months of completing Part I and is to be completed within six months of being assigned. The project is judged on a pass/fail basis by a three-person examining committee. See Mathematics 9993 below for more details.

### Syllabus for Part I

#### Algebra

**Linear Algebra:**Linear equations and matrices, rank, vector spaces, linear transformations, determinants, characteristic and minimal polynomials, eigenvalues, canonical forms, bilinear forms, duality, orthogonal bases, spectral theorems.

Suggested references:*Linear Algebra*, by K. Hoffman and R. Kunze*Algebra*, by S. Lang (2nd ed., 1984)

**Groups:**Subgroups, normal subgroups and quotient groups, homomorphisms, group actions, Sylow theorems, abelian groups.

**Rings and modules:**Homomorphisms, ideals and quotient rings, integral domains and fields of quotients, unique factorization domains, principal ideal domains, Euclidean rings, polynomials, fundamental theorem of modules over a PID.

**Fields:**Algebraic extensions, algebraic closure, separability, finite fields, Galois extensions, roots of unity, norm and trace.

Suggested references:*Abstract Algebra*, by Dummit and Foote*Algebra*, by Larry C. Grove

**Sample past exams - ****Mathematics and Applied Mathematics**

An even larger collection of past exams has been typed up and cross referenced to help students prepare. [pdf]

#### Analysis

**Real Analysis:**Real and complex number systems, Euclidean spaces, basic topology of metric spaces (including compactness, connectedness, completeness, separability), sequences and series of complex numbers, continuity, uniform continuity, differential of a real valued function of a real variable, mean value theorems and Taylor's theorem, Riemann-Stieltjes integral, functions of bounded variation, sequences and series of functions, uniform convergence, the Stone-Weierstrass theorem.

Suggested references:*Principles of Mathematical Analysis*, by W. Rudin

**Complex Analysis:**Algebra of complex numbers, conjugation, absolute value, the extended plane, holomorphic functions, Cauchy-Riemann equations, elementary functions, logarithms, argument and roots, integration on paths, power series, Cauchy's theorem, Cauchy's integral formulae, Cauchy's estimates, Morera's theorem, Liouville's theorem, Fundamental theorem of Algebra, Identity theorem, Maximum Modulus theorem, Taylor and Laurent Series, classification of singularities, residue theory, Mobius transformations, Open Mapping theorem, Schwarz's lemma, argument principle and Rouché's theorem.

Suggested references:*Functions of One Complex Variable*, by John B. Conway*Complex Analysis*, by T. W. Gamelin

**Advanced Calculus:**Differential calculus of functions of several variables; implicit and inverse function theorem; multiple integrals; line integrals; independence of path; Grad, div and curl; Green's theorem; Taylor's theorem with remainder, ordinary differential equations.

Suggested references:*Advanced Calculus*, by W. Kaplan*Advanced Calculus*, by G. B. Folland

**Sample past exams - ****Mathematics and Applied Mathematics**

An even larger collection of past exams has been typed up and cross referenced to help students prepare. [pdf]

### Part II

### Presentation

After a Ph.D. candidate has successfully completed Part I of the Comprehensive Examination, he/she shall be required to prepare a review paper describing background material for the intended research topic and to defend it orally. This project may later become a part of the student's thesis. This stage is intended to test the student's potential to undertake mathematical research and to write down results. The submitted paper shall typically be between **10 and 15 pages **in length and compile results from several different sources together with proofs. The presentation of the material shall be coherent and sufficiently detailed so that the members of the examining committee can evaluate its correctness without consulting special literature.

The examining committee will contain three faculty members appointed by the Graduate Affairs Committee and usually consists of the advisory committee. Within **two months **of the completion of Part I of the Comprehensive Examination, the examining committee shall give signed approval of a topic and a list of suggested sources. The oral presentation of the project will take place within **six months** of being assigned, and a final version of the paper will be submitted to the examining committee at least **two weeks** before the presentation.

After the presentation and audience questions, the audience is asked to leave and the examining committee meets privately with the candidate to ask additional questions. Then the examining committee meets without the candidate, decides separately whether the paper and the presentation have been satisfactorily completed, and reports its decision to the candidate and the Graduate Affairs Committee. In the event that one or both of the paper and presentation is not deemed satisfactory by a majority of the committee, the candidate may attempt the failed portion(s) a second time, within **two months** of the first attempt. If the candidate fails again, he/she is required to withdraw from the program.

### Comprehensive Exams in Applied Mathematics

The Comprehensive Exams in Applied Mathematics is in two parts. Part 1 consists of a single 3-hour written exam covering four areas: Calculus, Linear Algebra, Ordinary Differential Equations, and Numerical Methods. Its syllabus is based on the corresponding undergraduate courses offered by the Department of Mathematics. Part 2 consists of a single 3-hour written exam covering three areas: Partial Differential Equations, Numerical Analysis, and the candidate's research area.

Comprehensive Exams are offered in May of each year, roughly one week apart. Students are required to pass both parts during their first year to remain in the program.

### Syllbus for Part 1

#### Calculus

**Calculus 1500A/B:**Basic set theory and an introduction to mathematical rigour. The precise definition of limit. Derivatives of exponential, logarithmic, rational trigonometric functions. L'Hospital's rule. The definite integral. Fundamental theorem of Calculus. Integration by substitution. Applications.**Calculus 1501A/B:**Techniques of integration; The Mean Value Theorem and its consequences; series, Taylor series with applications; parametric and polar curves with applications; first order linear and separable differential equations with applications.**Calculus 2502A/B:**Differential calculus of functions of several variables: level curves and surfaces; limits; continuity; partial derivatives; total differentials; Jacobian matrix; chain rule; implicit functions; inverse functions; curvilinear coordinates; derivatives; the Laplacian; Taylor Series; extrema; Lagrange multipliers; vector and scalar fields; divergence and curl.**Calculus 2503A/B:**Integral calculus of functions of several variables: multiple integrals; Leibnitz' rule; arc length; surface area; Green's theorem; independence of path; simply connected and multiply connected domains; three dimensional theory and applications; divergence theorem; Stokes' theorem.

#### Linear Algebra

**Math 1600A/B:**Properties and applications of vectors; matrix algebra; solving systems of linear equations; determinants; vector spaces; orthogonality; eigenvalues and eigenvectors.**AM 2811A/B:**Vector space examples. Inner products, orthogonal sets including Legendre polynomials, trigonometric functions, wavelets. Projections, least squares, normal equations, Fourier approximations. Eigenvalue problems, diagonalization, defective matrices. Coupled difference and differential equations; applications such as predator-prey, business competition, coupled oscillators. Singular value decomposition, image approximations. Linear transformations, graphics.

#### Ordinary Differential Equations

**AM 2402A/B:**Introduction to first order differential equations, linear second and higher order differential equations with applications, complex numbers including Euler's formula, series solutions, Bessel and Legendre equations, existence and uniqueness, introduction to systems of linear differential equations.

#### Numerical Methods

**AM 2814F/G:**Introduction to numerical analysis; polynomial interpolation, numerical integration, matrix computations, linear systems, nonlinear equations and optimization, the initial value problem. Assignments using a computer and the software package, Matlab, are an important component of this course.

### Part 2

Coming soon!