The research carried out by the members of the Analysis Group, primarily focused on partial differential equations and related areas, covers a wide range of topics, from classical aspects of PDEs, to microlocal and global analysis, analysis on graphs, spectral theory, nonlinear equations, and complex analysis in several variables.
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The Analysis group is active in a variety of research areas including:
Several graduate students have completed Ph.D.s in analysis in recent years. Interested graduate students are encouraged to take advanced topics courses in these and related areas and to attend the above listed weekly seminars.
General information about graduate study in mathematics at Temple, including course descriptions, can be found on the graduate program website.
Math 8141-8142: Partial Differential Equations I-II.
A partial differential equation (PDE) is an equation involving functions and their partial derivatives, and since many natural laws can be expressed in terms of rates of changes, PDEs appear and have applications in an enormous number of questions. For example, PDEs describe the propagation of sound and heat, the motion of fluids, the behavior of electric and magnetic fields, and the behavior of financial markets. In the first semester the course will focus in the study of three second order equations that contain the ideas and the germ of generality to study more general PDEs: the Laplace equation, the heat equation, and the wave equation. We will also cover first order equations. The solutions of these equations have different qualitative and quantitative properties and their study is essential to understand elliptic, parabolic and hyperbolic equations. The emphasis will be on ideas and techniques presented in a way that can be use later to deal with more difficult situations such us nonlinear equations. These extensions will be the subject of the second semester.
Math 9400: Topics in Analysis.
The topic this semester is Applied Harmonic Analysis. The course covers the following: The $L_{2}$-Fourier transform. The short-time Fourier transform. The Discrete Fourier transform. The Fast Fourier transform; time-frequency analysis and the uncertainty principle; Paley-Wiener theory of band-limited functions. Shannon sampling of band-limited functions; discrete and continuous wavelet transform and multiresolution analysis; existence and structure of Gabor frames in $L_{2}(R^{n})$; Zak transform methods; general Hilbert frames; the Heisenberg group, its Schrödinger representation and their role in time-frequency analysis; applications to pseudodifferential operators; and applications to signal processing.
Math 9041: Functional Analysis.
This is a first course in Functional Analysis. The course covers: linear spaces; normed spaces; Banach spaces. Basic examples. Hilbert spaces and orthonormal bases. Fejer's Theorem and Fourier series in L_{2}[-pi, pi]. Bounded linear operators in Banach spaces. Banach- Steinhaus and Banach theorems. Linear functionals, dual spaces and the Hahn-Banach theorem. Examples of linear functionals in basic function spaces. Compact operators. Self-adjoint bounded operators and their spectral decomposition. Unbounded self-adjoint and symmetric operators and their spectral decomposition. Basics of distributions and distributional Fourier transform. The scale of Sobolev spaces H^{s}(R^{n}), $-\infty \lt s \lt \infty$, with applications to elliptic differential operators with constant coefficients.
Math 9051: Several Complex Variables.
This is a basic course in the analysis of functions of several complex variables. Beginning with Hartogs' theorem on separate analyticity, the Cauchy representation formula, Hartogs' phenomenon we will build up to domains of holomorphy, pseudoconvexity, and the L^{2} theory as developed by Hörmander. The theory of holomorphic functions of several variables is very different from the theory in one variable.