Skip to McMaster Navigation Skip to Site Navigation Skip to main content
McMaster logo

Syllabus for Pure Mathematics Qualifying Exam

Linear Algebra:

Matrices and systems of linear equations. Vector spaces over general fields, subspaces, linear independence, basis, dimension. Determinants. Linear transformations, associated matrices, change of basis, dimension formula. Dual vectorspaces. Eigenvalues, eigenspaces, diagonalization, Jordan canonical form. Inner product spaces, bilinear, quadratic and hermitian forms. Adjoint, self-adjoint, orthogonal and unitary operators. Diagonalization in Euclidean and unitary spaces. The spectral theorem.


Schaum’s Outlines: Linear Algebra: Chapters 1–13.

Real Analysis:

Real numbers: Infimum and supremum, limits of sequences, monotone sequences, Cauchy sequences. Continuity: limits of functions, continuous functions, the intermediate value theorem, maxima and minima, uniform continuity, monotone functions, inverse functions. Differentiation: the derivative, mean value theorem, l’Hospital’s rule, Taylor’s expansion with remainder. Integration: Riemann integrals, the fundamental theorem of calculus, improper integrals. Sequences of functions: pointwise and uniform convergence, continuity and convergence, interchange of limit with derivatives and integrals, Arzela-Ascoli theorem, Weierstrass and Stone-Weierstrass approximation theorems. Differentiation of integrals with parameters. Infinite series: series of numbers and functions, absolute convergence, power series. Elementary functions: rigorous introduction of the exponential, logarithmic, trigonometric and inverse trigonometric functions. Functions of several variables: the derivative as a linear transformation, Taylor’s theorem, the inverse and implicit function theorems. Vector calculus: multiple integrals, path and surface integrals, change of variables theorem for integrals, calculation of areas, volumes and arc-lengths, the integral theorems of vector analysis (Green’s, Stokes’, and Gauss’ theorems). Metric spaces: basic topology, compactness, connectedness, completeness.


Vector Calculus”, Marsden and Tromba

“Principles of Mathematical Analysis”, Walter Rudin

“Elementary Classical Analysis”, J. Marsden and M. Hoffman

Complex Variables:

Analytic functions, Cauchy-Riemann equations, entire functions, the exponential, trigonometric, and logarithmic functions, Euler’s formula. Line integrals, Cauchy’s theorem, Cauchy’s integral formula, power series representation and consequences, uniqueness theorem, mean value theorem, maximum modulus principle, open mapping theorem. Morera’s theorem, Liouville’s theorem and applications, meromorphic functions, Laurent expansions, residue theorem and applications, fractional linear transformations.


“Function Theory of One Complex Variable”, R. Greene and S. Krantz


Basic concepts, groups acting on sets, permutation groups, subgroups (intersections, composita), order and index, quotient groups, homomorphisms, kernel and image, center, normalizer, centralizer, direct products. Sylow theorems. Fundamental theorem on finite abelian groups. Simple groups, p-groups, nilpotent groups, solvable groups.


Dummit–Foote: Chapters 1–6


Basic concepts, ideals (prime and maximal), homomorphisms, Chinese remainder theorem, modular arithmetic. Integral domains and fields of fractions. Unique factorization, principal ideal domains, Euclidean domains. Polynomial rings, Gauss’ Lemma, irreducibility, Eisenstein’s criterion. Basic field theory: finite extensions, degree, and finite fields.


Dummit–Foote: Chapters 7–9, Chapter 13.1, 13.2