# 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

###### Phillip 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

###### Assistant Research Professor of Mathematics

**Keywords in this area**

fluids flow across dynamic channels

#### Alexander A. Kiselev

###### William T. Laprade Professor of Mathematics

**Keywords in this area**

Fourier analysis, functional analysis

#### Jianfeng Lu

###### Associate Professor of Mathematics

**Keywords in this area**

electronic structure models, calculus of variations, semiclassical analysis

#### Mauro Maggioni

###### Research Professor of Mathematics

**Keywords in this area**

harmonic analysis, statistical learning, signal processing, stochastic dynamical systems

#### 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

###### Nicholas J. and Theresa M. Leonardy Associate Professor

**Keywords in this area**

oscillatory integrals, Carleson operators, discrete operators

#### 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

#### Hau-Tieng Wu

###### Associate Professor of Mathematics

**Keywords in this area**

harmonic analysis, wavelet analysis, time-frequency analysis