Mathematics Commons^™

Fiber Bundles Of The Complex Projective Space And Their Relation To Quantum Physics, Emily Wessman

Student Research Symposium

The complex projective space CPⁿ is the space of lines through the origin in Cⁿ⁺¹ with an equivalence relation defined by Z ~ λZ' for λ ∈ C*. We define the points under the equivalence relation as homogeneous coordinates, represented by [Z₀ : Z₁ : ... Z_n]. Since all Z,sub>i cannot equal zero, we can find a unique set of n coordinates (z₁,...,z_n) such that [Z₀ : Z₁ : ... : Z_n] ~ [1 : z₁ : ... : z_n] where z …

Exploring The Geometry Of Einstein's Field Equations: Understanding The Mathematics Behind Curved Spacetime, Morgan Maxwell

Student Research Symposium

Einstein's equations describe how spacetime bends in response to mass and energy:

Comparative Analysis Of Vertical And Horizontal Subsurface Flow Constructed Wetlands For Eutrophication Mitigation", Ali M. Ahmed

Al-Bahir

Constructed wetlands (CWs) serve as a sustainable and eco-friendly solution for wastewater treatment, particularly in the removal of eutrophication-causing pollutants. This review focuses on the comparative performance of Vertical Flow (VF) and Horizontal Flow (HF) Subsurface Flow (SSF) systems, assessing their efficiency in removing Biochemical Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Total Nitrogen (TN), and Total Phosphorus (TP). VF systems demonstrate superior pollutant removal, particularly for nitrogen, due to enhanced aeration and efficient oxygenation processes. In addition, their compact design reduces land area requirements, making them advantageous in space-limited applications. Conversely, HF systems are more effective at supporting nutrient …

Aqueous Extracts Of Zingiber Officinale Rhizomes And Hibiscus Sabdariffa Leaves Enhanced Plasmodium Berghei-Infected Mice's Hematological Parameters., Fatimah Aluko Abubakar, Raliat Abimbola Aladodo, Aremu Abubakar

Al-Bahir

Malaria remains a global health challenge, leading to severe hematological complications. Natural alternatives such as Zingiber officinale and Hibiscus sabdariffa, known for their antioxidant and bioactive properties, are being investigated for their therapeutic potential. This study examines the hematological benefits of Z. officinale and H. sabdariffa in mice infected with the common malaria research model, NK65 chloroquine-sensitive Plasmodium berghei. Forty-two albino mice, averaging 24.5 ± 1.23g, were randomly divided into six groups. Mice in group A were uninfected which served as the normal control group. Mice in groups B, C, D, E, and F were inoculated intraperitoneally with P. …

Topics In Knot, Quandle, And Quiver Theory, Brooke Jones

USF Tampa Graduate Theses and Dissertations

This dissertation explores the algebraic and combinatorial structures arising from the study of knot theory through the lens of quandles, their colorings, and associated quiver and ring constructions. It is organized around three central themes: the analysis of quandle coloring quivers for torus links, the development of polynomial invariants and quiver invariants for stuck knots and links, and the algebraic and graphical study of quandle rings. The first chapter begins with an introduction to relevant concepts throughout the dissertation.

In the second chapter, we classify quandle coloring quivers of torus links using dihedral quandles. We describe these quivers as weighted …

An Accurate Numerical Method For Impulsively Started Flow Past An Elliptical Cylinder In Nanofluidic Medium, Shumaila Javed

Thesis/ Dissertation Defenses

This thesis presents a numerical study of flow induced by an infinitely long heated circular or elliptical cylinder in a uniform stream 𝑈0 of a viscous, incompressible nanofluid. The study is based on solving the full conservation equations of mass, momentum, and heat. The methodology includes the mathematical formulation of the problem, which suits the initial development of the flow and the large time numerical simulations. For the numerical technique, high-order compact (HOC) scheme is developed for circular and elliptical geometries. The numerical scheme is verified by applying it to the cases of uniform flow past a stationary elliptical cylinder; …

Ai Beliefs And Practices In Community College Classrooms, Julie Eng, Heather Umphlett, Jocelyn Gilchrist, Alicia Howell, Mary Ann Howell, Wendy Miller-Edwards, Laurel Pope

Inquiry: The Journal of the Virginia Community Colleges

The country, the Commonwealth of Virginia, and Virginia Community College System initiatives all promote generative AI within education. It is a topic of great concern and interest for higher education instructors, yet at the same time many faculty members feel uncertain about effectively integrating it into class material. To further add pressure to the AI explosion, community colleges particularly face a responsibility to prepare their students for success in this new AI-focused environment. In this article, seven faculty members from Camp Community College discuss the implications of generative AI programs, including subscriptions and chatbots, within their particular courses and how …

Evaluating The Performance Of Bayesian Removal Models For Estimating Population Density And Detecting Trends With Variable Detection Probability, David R. Stewart

Mathematics & Statistics ETDs

Removal models have long been used to estimate population abundance by progressively capturing and removing individuals from a closed population. These models provide a valuable tool for ecological monitoring, but their accuracy depends heavily on assumptions about detection probability, which may decline over successive sampling passes. Traditional removal models assume constant detection probabilities, an assumption that is often violated in real-world applications. This thesis aims to advance hierarchical Bayesian models by accounting for variable detection probabilities, improving the reliability of abundance estimates and trend detection. By integrating simulation-based analyses with empirical data from Lahontan Cutthroat Trout (Oncorhynchus clarkia henshawi …

32 - Nested Two Level Decomposition For Quantum Computing, Andrew Maciejunes, John Stenger, Dan Gunlycke, Nikos Chrisochoides

Undergraduate Research Symposium

Abstract—We present a two-level decomposition strategy for solving the Vehicle Routing Problem (VRP) using the Quantum Approximate Optimization Algorithm (QAOA). A Problem-Level Decomposition (PLD) partitions a 9-node (72-qubit) VRP into smaller Traveling Salesman Problem (TSP) instances. Each TSP is then further simplified via Circuit-Level Decomposition (CLD), enabling execution on near-term quantum devices. Our approach achieves up to 90% reductions in circuit depth and qubit count. These results demonstrate the feasibility of solving VRPs previously too complex for quantum simulators and provide early evidence of potential quantum utility.

My Tunisia Encounters: Inspiration For Some Mathematical Ideas, Hui-Hsiung Kuo

Journal of Stochastic Analysis

No abstract provided.

Perencanaan Bauran Pembangkit Listrik Energi Terbarukan Di Indonesia: Pendekatan Optimasi Program Linier Berbasis Wilayah, Annisa Garmaisa, Uka Wikarya

Jurnal Kebijakan Ekonomi

Indonesia has renewable energy potential spread across various islands. However, limited interconnection between regions is an obstacle to energy distribution. The purpose of this study is to analyze the planning of renewable energy (RE) power plants covering eight types: Geothermal Power Plants (PLTP), Solar Power Plants (PLTS), Wind Power Plants (PLTB), Biomass Power Plants (PLTBm), Biogas Power Plants (PLTBg), and Waste Power Plants (PLTSa). The analysis was conducted in four main system regions in Indonesia, namely Java-Bali, Sumatra, Kalimantan, and Sulawesi, which are currently not interconnected. The study is based on the availability of renewable energy potential, production forecasts, and …

Robust Multifidelity Operator Learning For Partial Differential Equations, Jacob Hauck, Yanzhi Zhang

Miners Solving for Tomorrow Research Conference

No abstract provided.

Coupled Time-Dependent Stokes - Darcy Model With Beavers–Joseph–Saffman–Jones Interface Boundary Condition, Yafang Hei, Xiaoming He

Miners Solving for Tomorrow Research Conference

No abstract provided.

The Importance Of Motivation And Self-Concept For Predicting Performance In Service Mathematics Modules: Replicating And Extending Previous Findings, Catherine Palmer, Maryna Lishchynska, Declan O’Connor, Seán Lacey

Department of Mathematics Publications

Students’ difficulties and lower-than-desired mathematics performance in higher education have been the focus of educational research and practice for a period of time. In a recent study by Lishchynska et al. (2023), learners’ motivation, dispositions towards mathematics and learning strategies were examined as factors potentially affecting performance in service mathematics modules. The main objectives of this study were to replicate the findings of Lishchynska et al. (2023) with a new student cohort; determine if self-concept is a significant contributortomathematicsperformance;andexploreifmathematicalbackgroundremainsan important predictor of mathematics performance for students as they migrate from first year to final year of study. A survey of …

Unraveling The Impact Of Curricular Complexity On Graduation Time: A Causal Analysis In Higher Education, Ameer Slim

Mathematics & Statistics ETDs

This study examines the causal relationship between program complexity and graduation time at UNM. While program complexity is recognized as a factor influencing student outcomes, its precise impact on graduation timelines remains underexplored. Using comprehensive cohort data, this study employs causal inference methods, including generalized propensity scores, to estimate the effect of complexity on time-to-degree. Findings reveal that higher program complexity extends graduation timelines, even after controlling for demographics and academic preparedness. Socioeconomic factors also play a role. Specifically, programs with more Pell Grant recipients and lower median high school GPAs tend to have lower complexity levels. These results provide …

A Study Of The Sum Of Divisors, Henry M. Willie

Miners Solving for Tomorrow Research Conference

No abstract provided.

Chain Theorems For Different Classes Of 3-Connected Graphs, Avin Sunuwar

LSU Doctoral Dissertations

This dissertation explores the structural properties of graphs by extending the classical result of Tutte's Wheel Theorem. In particular, we develop an improved version of Tutte's Wheel Theorem along with new chain theorems for subclasses of 3-connected graphs. These chain theorems provide a systematic approach to characterizing graphs that exclude certain minors, leading to significantly shorter proofs of established results.

In Chapter 5, we present a generalization of the block-tree theorem for connected graphs, which removes the restriction on cut vertices and allows greater flexibility in separator sizes. By integrating the results from Chapters 3, 4, and 5, we …

Gaussian Quantum Markov Semigroups In The Fock-Anti-Fock Representation Of Weyl Algebra, A Dhahri, Franco Fagnola, D Poletti, Hyun Jae Yoo

Journal of Stochastic Analysis

No abstract provided.

7 Plus Minus 2 Law Revisited: Alternative Geometric Explanation, Mayan Arithmetic, And Using 9- And 18-Based Numbers In Jewish Tradition, Julio C. Urenda, Olga Kosheleva, Vladik Kreinovich

Departmental Technical Reports (CS)

A recent paper showed that to make sure that the movements in the crowd are not chaotic, the directions of all the motions should deviate from some fixed direction by no more than 13 degrees. We show that this results provides a new geometric explanation for the seven plus minus two law in psychology, according to which we can keep in mind no more than 7 plus minus 2 items. We also show that all this is related to the somewhat mysterious appearance of 9- and 18-based number systems in Jewish and Mayan traditions.

Why Um And U*Log(U) Are The Most Effective Nonlinear Functions In Fuzzy Clustering: Theoretical Explanation Of The Empirical Fact, Olga Kosheleva, Vladik Kreinovich, Yuchi Kanzawa

Departmental Technical Reports (CS)

In fuzzy clustering, we need to have non-linear functions of the membership degrees. Different nonlinear functions have been tried. Empirical evidence shows that for fuzzy clustering, the most effective nonlinear functions are um and u*log(u). In this paper, we provide a theoretical explanation for this empirical fact.