40 courses in the 1992–93 Undergraduate Calendar, read from the scanned original. The text comes from OCR, so check the scanned page before relying on a detail.
Notes
and the female and male life cycles, among other topics, from the perspectives of various cultures.
Vector integral calculus, including line integrals, Green's theorem, the Divergence theorem, and Stokes’ theorem, with appiications to physical problems. Introduction to the Calculus of Variations. Sequences and series of functions and their applications, including the role of uniform convergence.
AM 250Modelling with Ordinary Differential EquationsF,W 3C 0.5
Overview of the modelling process. Examples of physical systems leading to ordinary differential equations. Applications to Newton's laws of motion, mechanical vibrations, and population dynamics. The emphasis is on the physical derivation and interpretation of the model equations.
AM 251Modeiling with Systems of Ordinary Differential EquationsF,W 3C 0.5
Simplification procedures in modelling. Physical dimensions, scaling, and the principle of dimensional homogeneity. Buckingham’s Pi Theorem. Systems of ordinary differential equations. Phase plane analysis. Stability. The emphasis is on two-dimensional physical systems based on the mechanics of particles and ecological systems.
Topology of R®, continuity, norms, metrics, completeness. Fourier series and applications, for example, to ordinary differential equations, the heat problem, optimal approximation, the isoperimetric inequality. Prereq: MATH 237 Antireg: MATH 322A, PMATH 351 Cross-listed as PMATH 331 Not available for credit to students in Honours Pure Mathematics programs.
Complex numbers; continuity, differentiability, analyticity of functions; the Cauchy- Riemann equations; solution of Laplace's equation; conformal mapping by elementary functions, and applications; contour integration, the Cauchy and allied theorems; Taylor and Laurent expansions, uniform convergence and power series; the residue calculus, and applications. Prereg: MATH 237 Antireq: MATH 322B, PMATH 352 Cross-listed as PMATH 332 Not available for credit to students in Honours Pure Mathematics programs.
AM 333Elementary Differential Geometry and Tensor Analysis Curves in Euclidean 3-Space (E3) and theF,S 3C 0.5
Serret-Frenet formulae; surfaces in E3 and their intrinsic geometry. Gaussian curvature and the Gauss-Bonnet theorem. Coordinate transformations and tensors in n dimensions; n-dimensional Riemannian spaces; covariant differentiation; geodesics; the curvature, Ricci and Einstein tensors. Applications of tensors in Relativity and Continuum Mechanics. Prereq: AM 231 or consent of instructor Cross-listed as PMATH 365
AM 341Introduction to Numerical AnalysisW,S 3C 0.5
Pitfalls in computation; solution of linear algebraic equations, polynomial interpolation; feast squares; numerical integration and differentiation. The intent is to expose students to the theory behind modern algorithms for solving mathematical problems.
Existence and uniqueness theorems; higher order and systems of equations; series solutions and special functions. Laplace transforms. Eigenvalues and eigenfunction expansions; applications to mathematical physics. Sturm’s comparison, separation and oscillation theorems.
Prereq:MATH 237. AM 250 is recommended for non-AM majors
AM 353Partial Differential Equations 1F,W,S 3C 0.5
First order partial differential equations and characteristic curves. Second order linear partial differential equations, primarily in two variables: physical origins; classification into hyperbolic, parabolic and elliptic equations; the Cauchy initial value problem and characteristic curves. Derivation and analysis of solutions of the wave equation, heat equation and Laplace's equation, separation of variables and eigenfunction expansions; Fourier integrals; d'Alembert's solution and the propagation of waves; maximum principle for harmonic functions. Introduction to systems of partial differential equations, hyperbolic systems, reduction to canonical form.
Prereq:AM 231 and AM 251, or consent of instructor
Stress and strain tensors; analysis of stress and strain. Lagrangian and Eulerian methods for describing flow. Equations of continuity, motion and energy, constitutive equations. Navier-Stokes equation. Basic equations of elasticity. Various applications. Prereq: AM 231, or consent of instructor Coreg: AM 353 and AM/PMATH 332 (or PMATH 352)
Kinematics and dynamics of systems of particles. Linear and angular momenta. Moving frames of reference. Moments of inertia. Kinematics and dynamics of rigid body motion. Virtual work. Lagrange's equations of motion. Hamilton's principle. Canonical equations. Conservation laws. Lagrange and Poisson bracket relations. Applications to problems in mechanics are stressed throughout.
Critical experiments and old quantum theory. Basic concepts of quantum mechanics: observables, wavefunctions, Hamiltonians and the Schrédinger equation. Uncertainty, correspondence and superposition principles. Simple applications to finite and extended onedimensional systems, harmonic oscillators, rigid rotor and hydrogen atom. Prereq: AM 231, or consent of instructor
AM 375Special Relativity and Electromagnetic Field TheoryW 3C 0.5
Minkowski space-time and Lorentz transformations. Physical consequences. Optics including Doppler effect and observation. Relativistic mechanics. Collisions. E = mc%. Introduction to electricity and magnetism. Maxwell's equations. Tensoriat formulation. Four-vector potential and gauge invariance. Algebraic structure of the electromagnetic field. Solutions of Maxwell’s equations. Radiation: wave guides and antennae. Energy momentum tensor of the electromagnetic field.
AM 381CIntroduction to Information TheoryF,S 3C 0.5
Variable length coding. The Shannon entropy as a measure of uncertainty and expected information. Minimal average length coding; the Shannon entropy as lower bound. Source entropy. Channeis. Transinformation. Capacity. Applications to problem solving, information transmission, logics, science, linguistics and communications (TV, music, etc.). Determination of practical measures of information.
Lebesgue measure and integral for the real line, general measure and integration theory, convergence theorems, Fubini's theorem, absolute continuity, Radon Nikodym theorem, LP-spaces. Prereq: PMATH 351 or 353 Cross-listed as PMATH 451
Some global aspects of surface theory, the Euler-Poincaré characteristic, the global interpretation of Gaussian curvature via the Gauss-Bonnet formula. Submanifolds of E®, induced Riemannian metrics, extrinsic and intrinsic curvatures, Gauss- Codazzi equations. Local Lie groups of transformations on R°, infinitesimal generators, the Lie derivative. An introduction to differentiable manifolds, the tangent and cotangent bundles, affine connections and the Riemann curvature tensor. The above topics will be illustrated by applications to continuum mechanics and mathematical physics.
A survey of undergraduate mathematics with emphasis on the unifying effect of algebraic concepts. This is a crossdisciplinary course; theorems of modem algebra are related to topics chosen mainly from advanced calculus and differential geometry.
AM 441Numerical Solution of Differential and Integral EiquationsF 3C 0.5
Initial value problems: existence and uniqueness of solutions, one step methods, multistep methods, stability, error analysis. Boundary value problems: shooting and discretization methods, implementation problems especially for non-linear equations. integral equations: correspondence to ordinary differential equations, initial value and boundary value problems, solution techniques. Prereq: CS 374, or CS 337 and consent of instructor. CS 372 is recommended Cross-listed as CS 476
A unified view of linear and nonlinear systems of ordinary differential equations in R°, Flow operators and their classification: contractions, expansions, hyperbolic flows. Stable and unstable manifolds.
Course Descriptions Applied Mathematics
Phase space analysis. Nonlinear systems, stability of equilibria and Lyapunov functions. The special case of flows in the plane, Poincaré-Bendixon theorem and limit cycles. Poincaré maps. Applications to physical problems will be a motivating influence.
A thorough discussion of the class of 2nd order linear partial differential equations with constant coefficients, in two independent variables. Laplace’s equation, the wave equation and the heat equation in higher dimensions. Theoretical/Qualitative aspects: well-posed problems, maximum principles for elliptic and parabolic equations, continuous dependence results, uniqueness results (including consideration of unbounded domains), domain of dependence for hyperbolic equations. Solution procedures: elliptic equations - Green's functions, conformal mapping; hyperbolic equations — generalized D'Alembert solution, spherical means, method of descent; transform methods — Fourier, multiple Fourier, Laplace, Hankel (for all three types of partial differential equations); Duhamel’s method for inhomogeneous hyperbolic and parabolic equations.
Euler-Lagrange equations for constrained and unconstrained single and double integral variational problems. Parameterinvariant single integrals. General variational formula. The canonical formalism. Hilbert’s independent integral. Hamilton- Jacobi equation and the Caratheodory complete figure. Fields and the Legendre and Weierstrass sufficient conditions. Prereq: AM 231, or consent of instructor
Fundamental equations of inviscid fluids, compressibility, vorticity; two and threedimensional irrotational, incompressible flow. Blasius’ theorem, Joukowski hypothesis. Water wave motion.
Basic equations of elasticity for homogeneous isotropic bodies; bending of beams; plane eiastic waves; Rayleigh surface waves, Love waves. Solution of problems by potentials, variational methods and Saint Venants’ principle.
Vector space formalism, Schrédinger and Heisenberg pictures, elements of second quantization. Angular momentum, selection rules, symmetry and conservation laws. Approximation methods: variation principle, perturbation theory and WKB approximation. Identical particles, Pauli principle and simple applications to atomic, molecular, solid state, scattering and nuclear problems.
Equivalence principle. Curved space-time and Einstein's gravitational field equations. The weak field limit. The Schwarzschild solution. Observational tests of General Relativity. Introduction to relativistic cosmology. Friedmann-Robertson-Walker universes and the big bang. Observational evidence. Gravitational collapse and black holes. Gravitational waves.
Equilibrium statistical mechanics is developed from first principles, based on elementary probability theory and quantum theory (classical statistical mechanics is developed later as an appropriate limiting case). Emphasis is placed on the intimate connections between statistical mechanics and thermodynamics. Although it would be useful, prior knowledge of quantum theory is not necessary.
Measures of information: probabilistic, mixed and nonprobabilistic. Measures of uncertainty (entropies). Entropies for continuous random variables. The maximum entropy principle and its applications to Statistical mechanics, optimal discretization and quantization of random variables, image representation and pattern recognition. Applications to questionnaires. Optimal questionnaires.