Analysis

Functions are representations of relations between sets, and in particular are useful for representing the changing states of a system: the velocity of a projectile, the frequencies present in a sound signal, the color of a pixel in a digital image, or the prices of a portfolio of stocks. The mathematical field of analysis seeks to formulate methods to analyze quantitatively the change exhibited by the outputs of functions with respect to their inputs, as a way of distilling important information about the underlying systems---such as the way stock prices change over time.

Historically, the development of calculus, with its application to Newtonian physics, was a very successful development in analysis. Today, analysis forms the foundation of several highly active areas of mathematics, with powerful applications throughout mathematics as well as in the natural sciences and industry. The Duke math department includes several faculty who work on various topics within analysis or use the tools of analysis to study various applications.

Harmonic analysis seeks to decompose functions into their component "harmonics" or waves; that such a decomposition is possible for broad classes of functions was initially discovered by Fourier in the early 1800's, and continues to have applications in a vast swath of mathematics, ranging from image compression methods via "wavelets" to counting integral solutions to Diophantine equations via the Hardy-Littlewood "circle method."

Complex analysis studies the behavior of functions on the complex plane, and has deep connections to number theory, and in particular to the distribution of prime numbers, via the Riemann zeta function.

Real analysis develops a rigorous theory of integration which extends the familiar notions of calculus to a broader class of functions, and in particular provides a foundation for many concepts in probability.

Stochastic analysis seeks to understand the behavior of differential equations and dynamical systems whose parameters or inputs are random and unpredictable; this has many applications in the sciences and engineering and economics.

Applying analytic methods to partial differential equations (PDE's) allows researchers to study the evolution of a system that is changing in a manner governed by precise constraints (the differential equations in the name); PDE's may be used to represent many important problems in the physical world, relating for example to diffusion of heat, fluid flow, or quantum mechanics.

Faculty

William K. Allard

Professor Emeritus of Mathematics

Keywords in this area
Geometric Measure Theory Multiresolution Geometrical Analysis Image Processing

J. Thomas Beale

Professor Emeritus of Mathematics

Keywords in this area
computation of singular and nearly singular integrals, motion of fluid interfaces, equations of incompressible flow, maximum norm estimates for finite difference methods, convergence of numerical methods for fluid flow

Robert Bryant

Philip Griffiths Professor of Mathematics

Keywords in this area
differential geometry, exterior differential systems, complex geometry

Robert Calderbank

Charles S. Sydnor Professor of Computer Science

Keywords in this area
detection and estimation, discrete harmonic analysis

Ingrid Daubechies

James B. Duke Professor of Mathematics and Electrical and Computer Engineering

Keywords in this area
wavelets, inverse problems

Jayce Robert Getz

Assistant Professor in the Department of Mathematics

Keywords in this area
Automorphic representations, Trace formulae

Heekyoung Hahn

Assistant Research Professor of Mathematics

Keywords in this area
Laplacian eigenvalues and relative Weyl law

Gregory Joseph Herschlag

Visiting Assistant Professor of Mathematics

Keywords in this area
fluids flow across dynamic channels

Jian-Guo Liu

Professor of Physics

Jianfeng Lu

Associate Professor of Mathematics

Keywords in this area
electronic structure models, calculus of variations, semiclassical analysis

Jonathan Christopher Mattingly

Professor of Mathematics

Keywords in this area
Stochastic Analysis, Malliavin Calculus, Ergodic Theory

James H. Nolen

Associate Professor of Mathematics

Keywords in this area
partial differential equations, probability, asymptotic analysis, homogenization

William L. Pardon

Professor of Mathematics

Keywords in this area
Singular spaces

Lillian Beatrix Pierce

Assistant Professor in the Department of Mathematics

Keywords in this area
oscillatory integrals, Carleson operators, discrete operators

Other research areas
Analysis Number Theory

Michael C. Reed

Professor of Mathematics

Other research areas
Analysis Biological Modeling

Mark A. Stern

Professor of Mathematics

Keywords in this area
geometric analysis, elliptic partial differential equations

Thomas Peter Witelski

Professor in the Department of Mathematics

Keywords in this area
perturbation methods