39 courses in the 1987–88 Undergraduate Calendar, read from the scanned original. The text comes from OCR, so check the scanned page before relying on a detail.
AM 260Mathematical Modelling 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 270Modelling with Systems of OrdinaryF,W 3C 05 .
* Differential Equations and
Dimensional Analysis Simplificaton procedures in modelling. Physical dimensions and the principle of dimensional homogeneity. Buckingham’s Pi Theorem. Scaling and introduction to perturbation theory. Systems of ordinary differential equations. Phase plane analysis. Stability. Emphasis on two and three dimensional physical systems.
Mathematics : Case studies of typical problems in applied mathematics. Classical mechanics of a point mass system. Conservative and dissipative systems. Existence and uniqueness theorems. Modelling with partial differential equations. The mathematics of diffusion processes. Group-theoretic foundations of dimensional analysis and scaling. Regular and singular perturbation theory. Prereq: AM 270 and MATH 240A, or MATH 230A and consent of instructor
Difference equations, Laplace transforms applied to discrete and continuous mathematical models taken from ecology, biology, economics and other fields. Prereq: MATH 220B or consent of instructor
AM 362Elementary Differential Geometry and Tensor AnalysisF,S 3C 0.5
Curves in Euclidean 3-Space (E¥) and
the Serret-Frenet formulae; surfaces in E9 and their intrinsic geometry. Gaussian — curvature and the Gauss-Bonnet theorem. Co-ordinate 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.
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.
AM 371Partial Differential Equations of Applied Mathematics 1F,S 3C 0.5
First order partial differential equations and characteristic curves; classification of linear second order partial differential equations; the Cauchy initial value problem; the Dirichlet problem. Solution of the heat equation, wave equation, and Laplace’s equation by separation of variables; Fourier series; propagation of waves; the maximum principle for harmonic functions.
Prereq:AM 270 and MATH 2308, or consent of instructor
rot 872 W 3C 05 Introduction to General Relativity Flat space-time and Lorentz transformations, relativistic mechanics, Maxwell's equations; curved space-time and the Einstein field equations, the Schwarzschild solution and some experimental tests of general relativity, the weak field limit; introduction to black holes and \ cosmology. ‘
AM 380AIntroduction to information Theory with ApplicationsF,S 3C 0.5
Variable length coding. The Shannon entropy as measure of uncertainty and expected information: Minimal average length coding; the Shannon entropy as lower bound. Source entropy. Channels. Transinformation. Capacity. Applications to problem solving, information transmission, logics, science, linguistics and communications (TV, music, etc.). Determination of practical measures of information. Prereq: Consent of instructor Cross-listed as PMATH 380A
AM 380BInformation Theory with ApplicationsW 3C 0.5
Measures of conditional uncertainty (entropy). Maximizing conditional entropies. Applications to statistical physics, statistics, pattern recognition. Special entropies in questionnaire theory. Design of optimal questionnaires. Special! entropies in dynamical systems. Basics in dynamical systems. Prereq: Consent of instructor Cross-listed as PMATH 3808
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 2308
Three-dimensional rigid body motion, Lagrange’s equations of motion. ignotable co-ordinates. Hamilton’s principle. Noether’s theorem and conservation laws. Canonical equations. Canonical . transformations. Lagrange and Poisson bracket relations. Integral invariants. Prereq: MATH 230B or consent of instructor .
A survey of undergraduate mathematics with emphasis on the unifying effect of algebraic concepts. This is a crossdisciplinary course; theorems of modern algebra are related to topics chosen mainly from advanced calculus and differential geometry.
Basic ideas of relativistic cosmology (Friedmann-Robertson-Walker universes, observational status of cosmological theories, black hole theory (the Schwarzschild and Kerr solutions, their event horizons and singularities, gravitational collapse, observable properties of black holes), and an introduction to gravitational waves. Other topics of current interest may be discussed.
Fundamental equations of inviscid fluids, compressibility, vorticity; two and threedimensional irrotational, incompressible flow. Blasius’ theorem, Joukowski hypothesis. Water Wave Motion: Prereq: AM 365.
Grassman algebras, differential forms, Lie derivatives, isometries, Killing vector fields, applications to continuum mechanics, differentiable manifolds and applications of differential forms to physics.
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.
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.