Analysis and Applications Seminar


Analysis and Applications

AaA Seminar

This seminar welcomes faculty and students (undergraduate and graduate) from the Pikes Peak region who are interested in applications of contemporary research in analysis (of all sorts). It is intended to have a very informal format, with several seminars in the format of a workshop rather than lecture format, introducing the audience to topics that are of current interest and are normally not covered in the standard math curriculum.

While all areas of applications are welcomed, each semester will have a special focus. In Spring 2022 seminar the focus is on the mathematical developments related to deep learning and data science.  

Wednesdays 4:30-5:45pm
UC 309, UCCS campus

Spring 2022

Feb 9, 2022

Radu C. Cascaval

Mathematical Analysis of Deep Learning and Kernel Methods
Feb 16, 2022

Math Clinic

Workshop #1: Data Manipulation and Analysis in Python
Feb 23, 2022

Denis Silantyev

Obtaining Stokes wave with high-precision using conformal maps and spectral methods on non-uniform grids
Mar 2, 2022

Math Clinic

Workshop #2: Gradient Descent and Linear Regression
Mar 9, 2022

Math Clinic

Workshop #3: Stochastic Gradient Descent. 
Mar 16, 2022

Math Clinic

Workshop #4: Intro to Neural Networks
Mar 23, 2022   Spring Break
Mar 30, 2022

John Villavert
UT Rio Grande Valley 

Methods for superlinear elliptic problems
Apr 13, 2022

Math Clinic

Workshop #5: Neural Networks (cont.)
Apr 20, 2022

Math Clinic

Workshop #6: Deep Neural Networks
Apr 27, 2022

Cory B Scott
Colorado College

Machine Learning for Graphs
May 4, 2022

Math Clinic


      Spring 2022 Abstracts

finger pointing next April 27, 2022 Seminar  
 Speaker: Dr. Cory B. Scott, Colorado College
 Title: Machine Learning for Graphs

The recent rise in Deep Learning owes much of its success to a small handful of techniques which made machine learning models drastically more efficient on image and video input. These techniques are directly responsible for the explosion of image filters, face recognition apps, deepfakes, etc. However, they all rely on the fact that image and video data lives on a grid of pixels (2D for images, 3D for video). If we want to analyze data that doesn't have a rigid grid-like structure - like molecules, social networks, biological food webs or traffic patterns - we need some more tricks. One of these techniques is called a Graph Neural Network (GNN). In this talk, we will talk about GNNs in general, and demonstrate a couple of cool applications of these models.


 March 30, 2022 Seminar  
 Speaker: Dr. John Villavert, Univ Texas Rio Grande Valley
Methods for superlinear elliptic problems

We give an elementary overview of several nonlinear elliptic (and parabolic) PDEs that arise from well-known problems in analysis and geometry. We discuss existence, non-existence (including Liouville theorems) and qualitative results for the equations and introduce some powerful geometric and topological techniques used to establishing these results. 
We shall attempt to highlight the underlying ideas in the techniques and illustrate how we can refine them to handle more general problems involving differential and integral equations. 

Feb 23, 2022 Seminar  
Speaker: Dr. Denis Silantyev, UCCS
Obtaining Stokes wave with high-precision using conformal maps and spectral methods on non-uniform grids

Two-dimensional potential flow of the ideal incompressible fluid with free surface and infinite depth has a class of solutions called Stokes waves which is fully nonlinear periodic gravity waves propagating with the constant velocity. We developed a new highly efficient method for computation of Stokes waves. The convergence rate of the numerical approximation by a Fourier series is determined by the complex singularity of the travelling wave in the complex plane above the free surface. We study this singularity and use an auxiliary conformal mapping which moves it away from the free surface thus dramatically speeding up Fourier series convergence of the solution. Three options for the auxiliary conformal map are described with their advantages and disadvantages for numerics. Their efficiency is demonstrated for computing Stokes waves near the limiting Stokes wave (the wave of the greatest height) with 100-digit precision. Drastically improved convergence rate significantly expands the family of numerically accessible solutions and allows us to study the oscillatory approach of these solutions to the limiting wave in great detail.

Feb 9, 2022 Seminar  
Speaker: Dr. Radu Cascaval, UCCS
Mathematical Analysis of Deep Learning and Kernel Methods

Kernel methods have become an important tool in the realm of machine learning and found a wide applicability in classification tasks such as support vector machines and deep learning. This seminar will provide an overview of such methods and how mathematical analysis can aid in understanding their success. 

Spring 2019

Feb 20, 2019

Daniel Appelö
Applied Math, CU Boulder

What’s new with the wave equation? 
Mar 6, 2019

Richard Wellman
Comp Sci, Colorado College

Scalable semi-supervised learning with operators in Hilbert space

Mar 20, 2019 

Radu Cascaval
UCCS Math 

The mathematics of (spatial) mobility
Apr 17, 2019

Mahmoud Hussein
Aerospace Eng, CU Boulder

Exact dispersion relation for strongly nonlinear elastic wave propagation
May 8, 2019

Michael Calvisi
Mechanical and Aerospace Eng, UCCS

The Curious Dynamics of Translating Bubbles: An Application of Perturbation Methods and Potential Flow Theory

Fall 2018

Sep 12, 2018

Sarbarish Chakravarty
UCCS Math 

Beach waves and KP solitons
Oct 3, 2018 

Robert Carlson
UCCS Math 

An elementary trip from the Gauss hypergeometric function to the Poschl-Teller potential in quantum mechanics
Oct 17, 2018

Geraldo de Souza
Auburn University 

Fourier series, Wavelets, Inequalities, Geometry and Optimization
Nov 14, 2018

Robert Jenkins
CSU Fort Collins 

Semiclassical soliton ensembles
Dec 5, 2018

Barbara Prinari
UCCS Math 

Discrete solitons for the focusing Ablowitz-Ladik equation with non-zero boundary conditions via inverse scattering transform

Spring 2018

Apr 11, 2018 Greg Fasshauer
Colorado School of Mines
An Introduction to Kernel-Based Approximation Methods
Mar 14, 2018 Ethan Berkove 
Lafayette College
Short Paths and Long Titles: Travels through the Sierpinski carpet, Menger sponge, and beyond. 
Feb 28, 2018 Radu Cascaval
UCCS Math 
Traffic Flow Models. A Tutorial

Fall 2017

Dec 8, 2017 Barbara Prinari
UCCS Math 
Solitons and rogue waves for a square matrix nonlinear Schrodinger equation with nonzero boundary conditions
Nov 17, 2017 Oksana Bihun
UCCS Math 
New properties of the zeros of Krall polynomials
Oct 27, 2017  Radu Cascaval
UCCS Math 
What do Analysis and Scientific Computation have in common ...
Sep 29, 2017 Fritz Gesztesy
Baylor Univ.
The eigenvalue counting function for Krein-von Neumann extensions of elliptic operators

Please contact Dr. Radu Cascaval ( if you are interested to join this seminar or need more info. Limited number of parking passes will be made available to non-UCCS individuals attending this seminar.



Fall 2018 seminars:

Dec 5, 2018 Seminar
Speaker: Dr. Barbara Prinari, UCCS
Title: Discrete solitons for the focusing Ablowitz-Ladik equation with non-zero boundary conditions via inverse scattering transform  

Abstract: Soliton solutions of the focusing Ablowitz-Ladik (AL) equation with nonzero boundary conditions at infinity are derived within the framework of the inverse scattering transform (IST). After reviewing the relevant aspects of the direct and inverse problems, explicit soliton solutions will be discussed which are the discrete analog of the Tajiri-Watanabe and Kuznetsov-Ma solutions to the focusing NLS equation on a finite background. Then, by performing suitable limits of the above solutions, discrete analog of the celebrated Akhmediev and Peregrine solutions will also be presented. These solutions, which had been recently derived by direct methods, are obtained for the first time within the framework of the IST, thus providing a spectral characterization of the solutions and a description of the singular limit process.

Nov 14, 2018 Seminar
Speaker: Dr. Robert Jenkins, Colorado State University - Fort Collins
Title: Semiclassical soliton ensembles 

Abstract:  Equations like the Korteweg-de Vries (KdV) and the nonlinear Schroedinger equation exhibit interesting and complicated dynamics when the dispersive length scales in the problem are small compared to those of the initial wave profile; this is the relevant scaling regime for many problem is optical fibers. In this talk I'll discuss one way to analyze such problems for integrable PDEs using the inverse scattering transform (IST) that approximates initial data by an increasingly large sum of solitons. I'll talk both about NLS and some more recent work of mine on the resonant three wave interaction equations. There will be lots of pictures to help clear up the technical details!

Oct 17, 2018 Seminar
Speaker: Dr. Geraldo de Souza, Auburn University
Title: Fourier series, Wavelets, Inequalities, Geometry and Optimization 

Abstract: This talk will have two parts. In the first part, I will start with motivation and comments to some important problems in Analysis. Each problem has led to important discovery, such as Wavelets, technique of convergence of Fourier, among others. The second part I will talk about Inequalities. In general, I view the second part of this presentation as simple or perhaps an elementary approach to the subject (even though it is a new idea). On the other hand, this talk will show some interesting observations that are part of the folklore of mathematics. I will go over some very common and important inequalities in analysis that we see in the course of Analysis and even in Calculus. I will give some different views of different proofs, using Geometry, Graphing and some of them “a new analytic proof” by using optimization of functions of two variables (this is very interesting).


Oct 3, 2018 Seminar 
Speaker: Dr. Robert Carlson, UCCS
An elementary trip from the Gauss hypergeometric function to the Poschl-Teller potential in quantum mechanics 

Abstract: A simple transformation takes the (G) equation for the Gauss hypergeometric function to the (J) equation for Jacobi polynomials. J has an (unusual) adjoint equation (H) (of Heun type) with an extra singular point. H has eigenfunctions that can be expressed in terms of the Gauss hypergeometric function.  Another change of variables lets us rediscover a ‘solvable’ (Poschl-Teller) Schrodinger equation. The methods use the kinds of techniques we often teach in Math 3400.


Sep 12, 2018 Seminar 
Speaker: Dr. Sarbarish Chakravarty
Beach Waves and KP Solitons

Abstract: In this talk, I will give a brief overview of the soliton solutions of the KP equation, and discuss how these solutions can describe shallow water wave patterns on long flat beaches.


Apr 11, 2018 Seminar

Speaker: Dr. Greg Fasshauer, Colorado School of Mines
An Introduction to Kernel-Based Approximation Methods 

Abstract:  I will start with a few historical remarks, and then motivate the use of kernel-based approximation as a numerical approach that generalizes standard polynomial-based methods. Examples of kernels and their use in data fitting problems will be provided along with an overview of some of the concerns and issues associated with the use of kernel methods.

Mar 14, 2018 Seminar

Speaker: Dr. Ethan Berkove, Laffayette College (Joint with Rings and Wings Seminar)
Title: Short Paths and Long Titles: Travels through the Sierpinski carpet, Menger sponge, and beyond.  

Abstract:  Sierpinski carpet and Menger sponge are fractals which can be thought of as two and three dimensional versions of the Cantor set.  Like the Cantor set, each is formed by starting with a shape (a square for the carpet, a cube for the sponge) and then recursively removing certain subsets of it.  Unlike the Cantor set, what remains is connected in the following sense: given any two points s and f in the carpet or sponge, there is a path from s to f that stays in the carpet or sponge.  In this talk, we’ll discuss what we know about the shortest path from s to f in the carpet, sponge, and even higher dimensional versions of these fractals.  The proofs required a surprising (at least to us) breadth of techniques, from combinatorics, geometry, and even linear programming.  (Joint work with Derek Smith)

Feb 28, 2018 Seminar

Speaker: Dr. Radu Cascaval, UCCS
Title: Traffic Flow Models. A Tutorial

Abstract: We present several traffic flow models, both at the micro- and macro-scale, including for multi-lane traffic. Problems of controlling the traffic will be described and numerical simulations will illustrate possible solutions.

Dec 8, 2017  Seminar

Speaker: Dr. Barbara Prinari, UCCS
Title: Solitons and rogue waves for a square matrix nonlinear Schrodinger equation with nonzero boundary conditions

Abstract:  In this talk we discuss the Inverse Scattering Transform (IST) under nonzero boundary conditions for a square matrix nonlinear Schrodinger equation which has been proposed as a model to describe hyperfine spin F = 1 spinor Bose-Einstein condensates with either repulsive interatomic interactions and anti-ferromagnetic spin-exchange interactions, or attractive interatomic interactions and ferromagnetic spin-exchange interactions. Emphasis will be given to a discussion of the soliton and rogue wave solutions one can obtain as a byproduct of the IST.


Nov 17, 2017  Seminar

Speaker: Dr. Oksana Bihun, UCCS
Title: New properties of the zeros of Krall polynomials

Abstract:  We identify a class of remarkable algebraic relations satisfied by the zeros of the Krall orthogonal polynomials that are eigenfunctions of linear differential operators of order higher than two. Given an orthogonal polynomial family p_n(x), we relate the zeros of the polynomial p_N with the zeros of p_m for each m <=N (the case m = N corresponding to the relations that involve the zeros of pN only). These identities are obtained by exacting the similarity transformation that relates the spectral and the (interpolatory) pseudospectral matrix representations of linear differential operators, while using the zeros of the polynomial p_N as the interpolation nodes. The proposed framework generalizes known properties of classical orthogonal polynomials to the case of non-classical polynomial families of Krall type. We illustrate the general result by proving new remarkable identities satisfied by the Krall-Legendre, the Krall-Laguerre and the Krall-Jacobi orthogonal polynomials.


Oct 27, 2017  Seminar

Speaker: Dr. Radu C. Cascaval, UCCS
Title: What do Analysis and Scientific Computation have in common ...

Abstract:  Analysis, the world of the infinitesimally small, is thought to be one of the last standing outposts where humans can fight the computational invasion. In spite of this fact, computational sciences continue to benefit greatly from advances in analysis. This talk will illustrate this relationship, in particular functional analysis connections to numerical spectral methods, meshless methods, and their applications to numerical solutions to PDEs.

Sept 29, 2017  Seminar

Speaker: Dr. Fritz Gesztesy, Baylor University
Title: The eigenvalue counting function for Krein-von Neumann extensions of elliptic operators

Abstract:  We start by providing a historical introduction into the subject of Weyl-asymptotics for Laplacians on bounded domains in n-dimensional Euclidean space, and a brief introduction into the basic principles of self-adjoint extensions.  Subsequently, we turn to bounds on eigenvalue counting functions and derive such a bound for Krein-von Neumann extensions corresponding to a class of uniformly elliptic second order PDE operators (and their positive integer powers) on arbitrary open, bounded, n-dimensional subsets \Omega in R^n. (No assumptions on the boundary of \Omega are made; the coefficients are supposed to satisfy certain regularity conditions.)  Our technique relies on variational considerations exploiting the fundamental link between the Krein-von Neumann extension and an underlying abstract buckling problem, and on the distorted Fourier transform defined in terms of the eigenfunction transform of the corresponding differential operator suitably extended to all of R^n. We also consider the analogous bound for the eigenvalue counting function for the corresponding Friedrichs extension.  This is based on joint work with M. Ashbaugh, A. Laptev, M. Mitrea, and S. Sukhtaiev.