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Undergraduate research opportunities Department of Mathematics University of Arizona What follows is a list of some of the projects that faculty members in the department of mathematics have suggested as suitable for undergraduate research projects. Students who wish to participate can register and receive credit for an independent study, or, may be able to get paid to work on these projects (UAMAZ). Details of the requirements will be worked out between the faculty supervisor and the students. Some of these projects require little background and are suitable for freshmen or sophomores, while others require knowledge of linear algebra, ordinary differential equations or group theory. This list is by no means exclusive, any student with a particular interest in some area of research is encouraged to seek out a faculty supervisor, or to come talk with me (Indik) for help on finding a suitable faculty member. Some of the projects that are listed were suggested some time ago, but faculty typically are still willing to work with students on these or a related project. In addition to contacting the faculty listed with the
projects, anyone interested in a research project is encouraged to
contact:
PENROSE TILINGS AND NON-COMMUTATIVE GEOMETRY Arlo Caine Prerequisites: Linear Algebra, Abstract Algebra, Real Analysis, and Curiosity. email: caine@math.arizona.edu phone: 621-6896 Office: Math 701 The tilings of the plane that many of us are familiar with are periodic, such as a tiling of unit squares for example. This tiling is periodic the sense that a translation vertically or horizontally by one unit doesn't change the image. Penrose Tilings are a class of aperiodic tilings of the plane; they admit no translational symmetries. It turns out that the set of all Penrose Tilings makes up a very strange space with many fascinating properties involving, among other things, the fibonacci numbers, and the golden ratio! (Commutative) Geometry, the study of spaces, ignores all of these properties, but one can use the finer tools of non-commutative geometry to explore this amazing space. In this project we will investigate some of the marvelous properties of Penrose Tilings and study their non-commutative geometry. To do so we will, along the way, survey ideas from Dynamical Systems, Topology, Analysis, and Algebra. Doug Pickrell SCISSORS CONGRUENCE Prerequisites: A good grasp of vector calculus and of Linear Algebra email pickrell@math.arizona.edu telephone 621-4767, Math 703 Given a polygon in the plane, one can compute the area by cutting the polygon into triangles and rearranging them into a rectangle. Thus every polygon in the plane is ``scissors congruent'' to a rectangle of equal area. In the 1840's Gauss asked if an analogous statement was true for a 3 dimensional simplex (i.e. a solid with planar faces) in 3-space. In 1900 Dehn proved that the answer is `no', by showing that another number (Dehn invariant, the sum of the product of the lengths of edges and corresponding dihedral angles), in addition to volume, is preserved under scissor congruence. Sixty years later Jensen proved that two 3-simplices are scissors congruent if and only if they have the same volume and Dehn invariant. In turn Jensen asked if the analogous statement was true for `simplices' in spheres and other nonEuclidean geometries. Many of these problems are unresolved. In this project we will investigate these and related issues involving volume of simplices in Euclidean and spherical 3-space. Robert Indik: PHASE RECONSTRUCTION FROM NEAR AND FAR FIELD IMAGES Prerequisites: Linear Algebr aand strong familiarity with complex numbers, computer experience helpful. email:indik@math.ariuzona.edu telephone 621-4599, Math East 249A Light such as that that comes from lasers can be described in terms of intesity and phase. When images are captured, they record the intesity of the light. If the phase can be found as well, it is possible to recover full information about the light, and to undo the effects of poor focusing or of blurring due to turbulence in the air. I am investigating the practicality of reconstructing phase information from images taken in two different focal planes (the near filed and the far field). This problem can be recast into the question: Given the magnitude of a complex function f(x,y), and the magnitude of its Fourier transform, can one reconstruct the original function. If one specializes to the case of discrete functions and images such as can be captured electronically, the question becomes: Given the magitudes of the complex entries in an N by N array, and the magnitudes of the discrete Fourier transform of that array, can one reconstruct the complex array. Students participating in this project will explore these questions initially in very small test cases, and test out potential algorithms for efficiently solving for phase. D. E. Myers (Mathematics), R. Harris (Division of Epidemiology and Biostatistics), M. K. O'Rourke (Division of Community and Environment) and S. Rogan (Epidemiology Program): USE OF GIS
IN
ANALYZING ENVIRONMENTAL CANCER RISKS AS A FUNCTION of GEOGRAPHIC SCALE The overall goal of this research project, is to examine the geographic variation in the association between cancer risk and arsenic. Arsenic exposure may be a causal agent in the development of bladder, lung, kidney, and skin cancers. Furthermore, arsenic is known to vary across geographic locations. GIS technology has made it more feasible to link multiple sources of descriptive attribute information for various geographic levels with health outcome data. Several geographically delineated data sets exist in Arizona that allow for exploration of the relationship between arsenic exposure and cancer occurrence. Geocoded cancer incidence and mortality data are available from the Arizona Cancer Registry for bladder, kidney, and lung cancers. Skin cancer data are available from a completed population-based case-control study. Arsenic concentrations are available from a multimedia, multipathway survey conducted in Arizona. The researchers will examine cumulative, aggregate, and cumulative-aggregate arsenic exposures, as potential doses, with the incidence of specific cancers. They will determine the homogeneity of the associations across various geographic scales.
D.E. Myers: DETECTION OF VEGETATION CHANGE USING NDVI DATA AND SPACE-TIME VARIOGRAMS Prerequisites: linear algebra, computer experience (word processing, graphing software, R software or willingness to learn, GIS or willingness to learn, FORTRAN or C programming useful but not mandatory), probability theory and statistics desirable but not mandatory. email: myers@math.arizona.edu telephone 621-6859,Math East 243 NDVI data is widely used as an index of vegetation. To detect whether change has occurred in vegetation then it is necessary to detect whether change has occurred in a time sequence of NDVI data files. Because change, if it occurs, may not occur in all parts of a region, i.e., for all pixels in the data sets, some form of statistic is needed that will summarize how the pixel values relate to each other spatially and also temporally. A space-time variogram is one such tool. Then it is necessary to estimate and fit a valid space-time variogram to the data. In this study, data for the years 1990-1999 from the Oregon Pilot Study will be used. The product-sum model variogram not only provides a method for constructing valid space-time variograms but also a way to estimate and fit the model. The characteristics of the fitted model will be interpreted as a tool to ascertain whether there has been a change in the vegetation.
Dennis Doxtater and Richard Thompson: Geometry and Statistics
for Archaeological Research This is a project outside the math department. Dr. Thompson has helped Dr. Doxtater get started with a project in archeology and an application using the MATHCAD program. A piece of a help wanted description from Dr. Doxtater is included here. Interested students should start by contacting Dr. Thompson. The effort is to determine whether existing, accurate large-scale geometric patterns between certain archaeological sites and significant natural features are purely coincidental or were designed. I need someone to build a computer application that can run a large number of tests where the location of archaeological sites are randomly varied in relation to fixed natural features. The work can either be for independent academic credit without compensation or funded from grant sources. While the actual test will focus on existing patterns between Anasazi sites in Chaco Canyon and distant mountains and other natural features, the software needs to be generic and usable for other cultural landscapes. In the Chaco case, there are five distinct geometric patterns that involve both natural and built sites. These five patterns are linked in one way or another through common sites or geometric features. They form a "constellation" with a seemingly logical sequence of linkage and development. In each of the five patterns, it is possible to state the geometric relationship of the archaeological site to natural features as an "angular deviation" (degrees). Thus the accuracy of the overall "constellation" can be defined as the average of the five deviations. The strategy of this introductory research is to calculate the average deviation of randomly located archaeological sites for the particular patterns in a constellation. Conduct this test many times and compare to the average deviation of the existing constellation. William McCallum: CONTEMPORARY CRYPTOGRAPHY Prerequisites: Linear algebra and some facility with computers. A first course in abstract algebra (groups, rings, fields) would also be quite useful, as would more in-depth knowledge of computer science (such as complexity theory). email: wmc@math.arizona.edu telephone: 621-6697 room: Math 713 These projects were initially listed by professor Ulmer. Professor McCallum has "taken over" Cryptography (it is a freindly takeover): Cryptography has probably been with us almost as long as organized military activity, but recently it has become much more important to the public at large. The widespread availability of networked computers and their increasing use in business makes it crucial to be able to communicate securely over unsecure channels. On the other hand, the same widespread availability of powerful computers makes it possible for junior high school students to break, by brute force, codes that would have stoppped the best minds of earlier generations. One may crudely divide cryptographic systems (codes) into two classes: symmetric key and public key. With symmetric key codes, the parties communicating must share a secret (the "key") in advance and the same key is used for encryption and decryption (hence the label symmetric). These codes typically run fast and are often used for commercial purposes such as bank transfers. Until quite recently, all cryptographic systems were symmetric key systems. Public key cryptographic systems use different keys for encryption and decryption and, very importantly, knowing one of these keys tells you nothing about the other. Such systems make it possible to perform amazing feats like proving that you know a secret without revealing the secret, or establishing a secret with a stranger using open channels of communication, in such a way that an eavesdropper who hears the entire conversation will not be able to reconstruct the secret. Here are three possible projects for student research:
T.W. Secomb (Departments of Physiology and Mathematics): MODELING MICROVASCULAR NETWORKS Prerequisites: Ordinary differential equations, linear algebra. email: secomb@ccit.arizona.edu telephone: 626-4513 Room: AHSC The microcirculation is an intricate network of tiny blood vessels that carries nutrients to every part of a living tissue. Current projects are aimed at developing mathematical models for several aspects of the system's function. For example, networks continually adjust their structures in response to local signals, during growth and when metabolic requirements change. This process can be modeled using a system of ordinary differential equations to describe changes in vessel diameters. The problem is to determine what types of responses can lead to stable, adequate network structures consistent with experimental observations. David Lomen: MATHEMATICAL MODELING Topics chosen by the student in areas of mathematical modeling dealing with fluid motion (soil physics, physiology, engineering), with differential equations (pharmacokinetics, biological, chemical, or physical processes,...) or with different ways to teach mathematics or the development of innovative teaching materials. Moysey Brio: SIMULATION OF WAVES AND SHOCKS
To study various various wave phenomena by running simulations, modifying codes and producing graphics in the study of
Marek Rychlik: INTEGRABLE AND
NON-INTEGRABLE BILLIARDS Study the motion of a billiard ball on a table of an arbitrary shape. Only elliptic tables are known to be "integrable". Other tables are conjectured to be "chaotic". In the course of this project the student would perform simple numerical experiments to measure the chaotic behavior of tables of various shapes. Marek Rychlik: SPEECH AND ATTRACTORS Prerequisites: Calculus, Linear Algebra necessary, Fourier Analysis helpful email: rychlik@math.arizona.edu telephone: 621-6864 room: 605 The student would collect samples of speech, using a computer with a sound card and a microphone. Subsequently, these samples would be visualized, using software like MATLAB. The individual sounds, like the ones produced by saying "aaaah" or "ooooh" produce patterns which are referred to as attractors. These patterns will be subjected to a mathematical analysis to explore the possibility of distinguishing between them. Marek Rychlik: NEURAL NETWORKS AND GENETIC ALGORITHMS Prerequisites: Discrete Math, programming language email: rychlik@math.arizona.edutelephone: 621-6864 room: 605 A neural network is a system that will produce ``correct'' responses to a range of inputs. The traditional method of ``training'' of neural networks is the back propagation algorithm and it is known to be very slow. The student will examine a new method of ``genetic breeding'' and compare it to the old method by performing numerical experiments. Joseph Watkins: POPULATION BIOLOGY - modeling and education Prerequisites: varied email: jwatkins@math.arizona.edu telephone: 621-5245 room: 520 My recent work involves interaction between the mathematics and biology communities. Under the auspices of the Southwest Regional Institute in the Mathematical Sciences, we are developing ways to communicate research ideas in population biology. This is now being pursued on the biology of bees and soon we will start investigating questions on HIV both its immunology and its epidemiology. Undergraduate projects here come in two types - one is to work with scientists and teachers to develop strategies for communicating these ideas to broad community. At this moment, we are just starting to write software on bee population models. These models will become tools for high school students, beekeepers and for bee scientists. These groups are concerned about the Africanization of the European honey bee population and mite infestations of bee hives. We hope that these tools will help understand the nature of these events and suggest methods for remediation. The HIV models will also require some software development. The issues in the immunology are optimal drug protocols for improving the lives of those with HIV. The epidemiological issue is to investigate what changes in behavior will have the biggest impact in the spread of the virus. Separated from my activities with the Regional Institute, I am also looking into issues involving enzyme kinetics. When the number of enzyme molecules and substrate molecules was high, mass action equations were an adequate mathematical model of the dynamics of the enzyme reactions. As biochemistry is learning more about enzymatic reaction in which the number of molecules is smaller, the stochastic or random effects are playing a more important role. Here we will be writing programs that find the importance of these effects and looking into the experimental data for verification. Daniel Madden: PATTERNS IN CONTINUED FRACTIONS Prerequisite: pattern recognition, computer skills required, number theory, proofs helpful email: madden@math.arizona.edutelephone: 621-4665 room: 704 A continued fraction is a number written in the form:
The only numbers that have continued fractions that terminate
are the rational numbers. But all numbers, rational and irrational
numbers, have unique continued fraction expansions. Some irrational
numbers have continued fractions that consist of a repeating pattern of
numbers
These are exactly the irrational numbers that satisfy quadratic polynomials with integer coefficients. The problem concentrates on the continued fraction expansions
of numbers of the form
Many such formulae are easy to notice in any good list of
expansions. The interesting formulae are those where the number of
terms
in the repeating pattern grows larger as the number under the square
root grows larger. These formulae are harder to pick out and more
difficult to verify. The problem is to find, and perhaps verify,
formulae for This problem requires a certain amount of computer skills, and
would require some initial study of continued fractions to get started.
The problem is related to a famous open conjectures of Gauss. For
example, if one found a formula (highly unlikely) for Carl Devito: The nature of time and space Prerequisites: A lively curiousity email: devito@math.arizona.edu telephone: 621-2891 room: 307 At a recent conference here in Tucson researchers in physics and astronomy independently suggested that it may be wise to take a new look at the basic properties of time and space. Innovative mathematical models of time were also presented at the conference and these stimulated some very animated discussions. The project we have in mind is a literature search for papers dealing with unusual observations and/or results dealing with time, and perhaps space as well. Once a body of work is collected, we hope to find clues to unknown, or hidden, aspects of time which may aid in the construction of mathematical models. |
Math Center
Department of Mathematics
University of Arizona
http://www.arizona.edu/degree/layout.html
mcenter@math.arizona.edu