Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Computer Sciences (115)
- Applied Mathematics (110)
- Statistics and Probability (98)
- Education (81)
- Arts and Humanities (80)
-
- Algebra (73)
- Other Mathematics (68)
- Physics (65)
- Discrete Mathematics and Combinatorics (61)
- Geometry and Topology (59)
- Science and Mathematics Education (50)
- Analysis (45)
- Life Sciences (38)
- Social and Behavioral Sciences (33)
- Data Science (29)
- Engineering (28)
- Medicine and Health Sciences (28)
- Chemistry (27)
- Number Theory (25)
- Biology (24)
- Dynamical Systems (24)
- Applied Statistics (20)
- Set Theory (19)
- Numerical Analysis and Computation (16)
- Artificial Intelligence and Robotics (15)
- Logic and Foundations (15)
- Ordinary Differential Equations and Applied Dynamics (13)
- Theory and Algorithms (13)
- Institution
-
- University of Texas Rio Grande Valley (100)
- University of New Mexico (91)
- Claremont Colleges (88)
- University of Texas at El Paso (61)
- TÜBİTAK (48)
-
- Old Dominion University (34)
- Missouri University of Science and Technology (29)
- Louisiana State University (26)
- Chulalongkorn University (25)
- Utah State University (22)
- City University of New York (CUNY) (21)
- Chapman University (20)
- United Arab Emirates University (20)
- Universitas Negeri Malang (20)
- University of Nebraska - Lincoln (20)
- Michigan Technological University (19)
- Prairie View A&M University (16)
- University of the Pacific (15)
- Louisiana Tech University (14)
- Ateneo de Manila University (13)
- Clemson University (13)
- Georgia Southern University (12)
- University of Kentucky (12)
- University of South Florida (12)
- Rose-Hulman Institute of Technology (11)
- University of South Carolina (11)
- Montclair State University (10)
- Portland State University (9)
- University of Arkansas, Fayetteville (9)
- University of Texas at Arlington (8)
- Keyword
-
- Technical Reports (58)
- UTEP Computer Science Department (58)
- Mathematics (40)
- Department of Mathematical Sciences (19)
- Machine learning (15)
-
- Algebra (10)
- Combinatorics (9)
- Topology (9)
- Algorithms (8)
- Machine Learning (7)
- Mathematical modeling (7)
- Mathematics education (7)
- Neutrosophy (7)
- Optimization (7)
- Statistics (7)
- COVID-19 (6)
- Diameter (6)
- Geometry (6)
- Number theory (6)
- Ordinary differential equations (6)
- Cryptography (5)
- Equity (5)
- Graph theory (5)
- Neutrosophic Logic (5)
- Neutrosophic Set (5)
- Numerical methods (5)
- Partial differential equations (5)
- Physics (5)
- Algorithm (4)
- Analysis (4)
- Publication
-
- School of Mathematical & Statistical Sciences Faculty Publications (87)
- Branch Mathematics and Statistics Faculty and Staff Publications (82)
- Journal of Humanistic Mathematics (59)
- Departmental Technical Reports (CS) (58)
- Turkish Journal of Mathematics (48)
-
- Theses and Dissertations (31)
- Chulalongkorn University Theses and Dissertations (Chula ETD) (25)
- Mathematics & Statistics Faculty Publications (24)
- Jurnal Pendidikan Sains (20)
- Mathematics and Statistics Faculty Research & Creative Works (20)
- CODEE Journal (18)
- Mathematics Faculty Publications (18)
- Michigan Tech Publications (18)
- Applications and Applied Mathematics: An International Journal (AAM) (16)
- Mathematics, Physics, and Computer Science Faculty Articles and Research (16)
- Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023– (15)
- Euleriana (14)
- Honors Theses (14)
- LSU Doctoral Dissertations (13)
- Mathematics Senior Capstone Papers (13)
- Dissertations, Theses, and Capstone Projects (12)
- Journal of Stochastic Analysis (12)
- Electronic Theses and Dissertations (11)
- Theses (10)
- Theses and Dissertations--Mathematics (10)
- Thesis/ Dissertation Defenses (10)
- Faculty Publications (9)
- Rose-Hulman Undergraduate Mathematics Journal (9)
- Master's Theses (8)
- Mathematics & Statistics ETDs (8)
- Publication Type
- File Type
Articles 451 - 480 of 1097
Full-Text Articles in Mathematics
Study Of Nanofluid Flow In A Stationary Cone–Disk System With Temperature-Dependent Viscosity And Thermal Conductivity, Anagha Susan John, Mahanthesh Basavarajappa, Igor V. Shevchuk
Study Of Nanofluid Flow In A Stationary Cone–Disk System With Temperature-Dependent Viscosity And Thermal Conductivity, Anagha Susan John, Mahanthesh Basavarajappa, Igor V. Shevchuk
School of Mathematical & Statistical Sciences Faculty Publications
The substantial temperature gradient experienced by systems operating at relatively high temperatures significantly impacts the transport characteristics of fluids. Hence, considering temperature-dependent fluid properties is critical for obtaining realistic prediction of fluid behavior and optimizing system performance. The current study focuses on the flow of nanofluids in a stationary cone–disk system (SCDS), taking into account temperature-dependent thermal conductivity and viscosity. The influence of Brownian motion, thermophoresis, and Rosseland radiative flux on the heat transport features are also examined. The Reynolds model for viscosity and Chiam's model for thermal conductivity are employed. The Navier–Stokes equation, the energy equation, the incompressibility condition, …
Approval Gap Of Weighted K-Majority Tournaments, Jeremy Coste, Breeann Flesch, Joshua D. Laison, Erin Mcnicholas, Dane Miyata
Approval Gap Of Weighted K-Majority Tournaments, Jeremy Coste, Breeann Flesch, Joshua D. Laison, Erin Mcnicholas, Dane Miyata
Theory & Applications of Graphs
A $k$-majority tournament $T$ on a finite set of vertices $V$ is defined by a set of $2k-1$ linear orders on $V$, with an edge $u \to v$ in $T$ if $u>v$ in a majority of the linear orders. We think of the linear orders as voter preferences and the vertices of $T$ as candidates, with an edge $u \to v$ in $T$ if a majority of voters prefer candidate $u$ to candidate $v$. In this paper we introduce weighted $k$-majority tournaments, with each edge $u \to v$ weighted by the number of voters preferring $u$.
We define the …
Representations Of Solutions Of Time-Fractional Multi-Order Systems Of Differential-Operator Equations, Sabir Umarov
Representations Of Solutions Of Time-Fractional Multi-Order Systems Of Differential-Operator Equations, Sabir Umarov
Mathematics Faculty Publications
This paper is devoted to the general theory of systems of linear time-fractional differential-operator equations. The representation formulas for solutions of systems of ordinary differential equations with single (commensurate) fractional order is known through the matrix-valued Mittag-Leffler function. Multi-order (incommensurate) systems with rational components can be reduced to single-order systems, and, hence, representation formulas are also known. However, for arbitrary fractional multi-order (not necessarily with rational components) systems of differential equations, the representation formulas are still unknown, even in the case of fractional-order ordinary differential equations. In this paper, we obtain representation formulas for the solutions of arbitrary fractional multi-order …
Topics In The Study Of The Pragmatic Functions Of Phonetic Reduction In Dialog, Nigel G. Ward, Carlos A. Ortega
Topics In The Study Of The Pragmatic Functions Of Phonetic Reduction In Dialog, Nigel G. Ward, Carlos A. Ortega
Departmental Technical Reports (CS)
Reduced articulatory precision is common in speech, but for dialog its acoustic properties and pragmatic functions have been little studied. We here try to remedy this gap. This technical report contains content that was omitted from the journal article (Ward et. al, submitted). Specifically, we here report 1) lessons learned about annotating for perceived reduction, 2) the finding that, unlike in read speech, the correlates of reduction in dialog include high pitch, wide pitch range, and intensity, and 3) a baseline model for predicting reduction in dialog, using simple acoustic/prosodic features, that achieves correlations with human perceptions of 0.24 for …
How To Make A Neural Network Learn From A Small Number Of Examples -- And Learn Fast: An Idea, Chitta Baral, Vladik Kreinovich
How To Make A Neural Network Learn From A Small Number Of Examples -- And Learn Fast: An Idea, Chitta Baral, Vladik Kreinovich
Departmental Technical Reports (CS)
Current deep learning techniques have led to spectacular results, but they still have limitations. One of them is that, in contrast to humans who can learn from a few examples and learn fast, modern deep learning techniques require a large amount of data to learn, and they take a long time to train. In this paper, we show that neural networks do have a potential to learn from a small number of examples -- and learn fast. We speculate that the corresponding idea may already be implicitly implemented in Large Language Models -- which may partially explain their (somewhat mysterious) …
Counting Hamming-Graceful Labelings Of Paths, Ashka Dalal
Counting Hamming-Graceful Labelings Of Paths, Ashka Dalal
Mathematical Sciences Technical Reports (MSTR)
Let Γ be a graph of m edges and n vertices. A Hamming-graceful labeling of Γ labels vertices with binary strings of length m and the edge labels are induced by the Hamming distance between vertex labels. It is known that all paths have Hamming-graceful labelings, thus the question arises, how many possible labelings exist for a path of a given size. We develop an algebraic way to generate labelings, conjecture a method for counting, prove this for small examples, and verify larger examples using a Python program.
Statistical Modeling Of Right-Censored Spatial Data Using Gaussian Random Fields, Fathima Z. Sainul Abdeen, Akim Adekpedjou, Sophie Dabo Niang
Statistical Modeling Of Right-Censored Spatial Data Using Gaussian Random Fields, Fathima Z. Sainul Abdeen, Akim Adekpedjou, Sophie Dabo Niang
Mathematics and Statistics Faculty Research & Creative Works
Consider a Fixed Number of Clustered Areas Identified by their Geographical Coordinates that Are Monitored for the Occurrences of an Event Such as a Pandemic, Epidemic, or Migration. Data Collected on Units at All Areas Include Covariates and Environmental Factors. We Apply a Probit Transformation to the Time to Event and Embed an Isotropic Spatial Correlation Function into Our Models for Better Modeling as Compared to Existing Methodologies that Use Frailty or Copula. Composite Likelihood Technique is Employed for the Construction of a Multivariate Gaussian Random Field that Preserves the Spatial Correlation Function. the Data Are Analyzed using Counting Process …
Key Benefits Of Small Group Instruction For Diverse Learners, Lydia Mcevoy
Key Benefits Of Small Group Instruction For Diverse Learners, Lydia Mcevoy
Master's Theses
Utilizing a mixed method approach this research study investigated the effects of small group instruction on the learning of diverse learners. Informed by a preliminary literature review that supports the use of small-group instruction, the researcher conducted a small-scale action research project to focus on three diverse learners in a 1st-grade classroom over four weeks. One of the findings of this project shows that small group instruction helps promote social and emotional skills as students feel more comfortable interacting with peers in a small group rather than in a whole group. Another finding indicates that students feel more encouraged by …
Fundamental 2-Quandles Of The M(1/2, 1/3, 1/3; K) Montesino Knots, Alex Abrams
Fundamental 2-Quandles Of The M(1/2, 1/3, 1/3; K) Montesino Knots, Alex Abrams
Mathematics Theses
Every oriented knot has an associated fundamental quandle. Except in two simple cases, these quandles have infinite order. For every integer n>1, there is a quotient of the fundamental quandle called the n-quandle of the knot. In some cases, these n-quandles may be finite. In the case of the M(1/2,1/3,1/3; k) Montesino knot family, the 2-quandle is finite. In this paper, we investigate the structure of the 2-quandle and prove its size.
Murmurations And Root Numbers, Alexey Pozdnyakov
Murmurations And Root Numbers, Alexey Pozdnyakov
University Scholar Projects
We report on a machine learning investigation of large datasets of elliptic curves and L-functions. This leads to the discovery of murmurations, an unexpected correlation between the root numbers and Dirichlet coefficients of L-functions. We provide a formal definition of murmurations, describe the connection with 1-level density, and provide three examples for which the murmuration phenomenon has been rigorously proven. Using our understanding of murmurations, we then build new machine learning models in search of a polynomial time algorithm for predicting root numbers. Based on our models and several heuristic arguments, we conclude that it is unlikely for …
How Can We Explain Empirical Formulas For Shrinkage Cracking Of Cement-Stabilized Pavement Layers, Edgar Daniel Rodriguez Velasquez, Vladik Kreinovich
How Can We Explain Empirical Formulas For Shrinkage Cracking Of Cement-Stabilized Pavement Layers, Edgar Daniel Rodriguez Velasquez, Vladik Kreinovich
Departmental Technical Reports (CS)
In pavement construction, one of the frequent defects is shrinkage cracking of the cement-stabilized pavement layer. To minimize this defect, it is important to be able to predict how this cracking depends on the quantities describing the pavement layer and the corresponding environment. Cracking is usually described by two parameters: the average width of the crack and the crack spacing. Empirical analysis shows that the dependence of the width on all related quantities is described by a power law. Power laws are ubiquitous in physics, they describe a frequent case when the dependence is scale-invariant -- i.e., does not change …
Understanding Perspectives Of Power In A College Mathematics Classroom, Laura Seeberger
Understanding Perspectives Of Power In A College Mathematics Classroom, Laura Seeberger
Honors College Theses
Power is embedded in teacher and student actions within mathematics classrooms, whether that power is known or not. Incorporating equity and inclusiveness requires a deeper understanding of this power behind actions. In this study, we developed and administered a three part survey questioning college faculty and college students how they perceive power related to common actions within a college mathematics classroom. For example, participants were asked whether a college math teacher assigning homework increased, decreased, or did both to the teacher’s power; then whether this action increased, decreased, or did both to a student’s power. Analysis of 16 faculty and …
On Distortion Of Surface Groups In Right-Angled Artin Groups, Lucas Bridges
On Distortion Of Surface Groups In Right-Angled Artin Groups, Lucas Bridges
Mathematical Sciences Undergraduate Honors Theses
Surfaces have long been a topic of interest for scholars inside and outside of mathe- matics. In a topological sense, surfaces are spaces which appear flat on a local scale. Surfaces in this sense have a restricted set of properties, including the behavior of loops around a surface, codified in the fundamental group.
All but 3 surface groups have been shown to embed into a class of groups called right-angled Artin groups. The method through which these embeddings are created places large restrictions on all homomorphisms from surface groups to right-angled Artin groups.
One such restriction on these homomorphisms is …
Tasks For Learning Trigonometry, Sydnee Andreasen
Tasks For Learning Trigonometry, Sydnee Andreasen
All Graduate Reports and Creative Projects, Fall 2023 to Present
Many studies have been done using task-based learning within different mathematics courses. Within the field of trigonometry, task-based learning is lacking. The following research aimed to create engaging, mathematically rich tasks that meet the standards for the current trigonometry course at Utah State University and align with the State of Utah Core Standards for 7th through 12th grades. Four lessons were selected and developed based on the alignment of standards, the relevance to the remainder of the trigonometry course, and the relevance to courses beyond trigonometry. The four lessons that were chosen and developed were related to trigonometric ratios, graphing …
Vectors And Vector Borne Disease: Models For The Spread Of Curly Top Disease And Culex Mosquito Abundance, Rachel M. (Frantz) Georges
Vectors And Vector Borne Disease: Models For The Spread Of Curly Top Disease And Culex Mosquito Abundance, Rachel M. (Frantz) Georges
All Graduate Theses and Dissertations, Fall 2023 to Present
Mathematical models are useful tools in managing infectious disease. When designed appropriately, these models can provide insight into disease incidence patterns and transmission rates. In this work, we present several models that provide information that is useful in monitoring diseases spread by insects.
In the first part of this dissertation, we present two models that predict disease incidence patterns for Curly Top disease (CT) in tomato crops. CT affects a wide variety of plants and is spread through the bite of the Beet Leafhopper. This disease is particularly devastating to tomato crops. When infected, tomato plants present with stunted growth …
Geometric Principles In Architecture Aesthetics, Vincent Gemmiti
Geometric Principles In Architecture Aesthetics, Vincent Gemmiti
Architecture Undergraduate Honors Theses
This study focuses on geometric formalism in three major monuments across different architectural eras in time. The use of three distinct geometric principles to outline the use of pure or manufactured shapes and figures helps to discover and isolate an aesthetic component of architecture within which it is contained. A collection of studies are implemented and are focused on orthographic drawings from each monument in horizontality and verticality, consisting of a dual set of overlay and interpretative drawings for each type of orthographic representation for each monument. A discussion follows and highlights the changes or similarities over time the role …
Modeling Prices In Limit Order Book Using Univariate Hawkes Point Process, Wenqing Jiang
Modeling Prices In Limit Order Book Using Univariate Hawkes Point Process, Wenqing Jiang
LSU New Orleans Theses and Dissertations
This thesis presents a time-changed geometric Brownian price model with the univariate Hawkes processes to trace the price changes in a limit order book. Limit order books are the core mechanism for trading in modern financial markets, continuously collecting outstanding buy and sell orders from market participants. The arrival of orders causes fluctuations in prices over time. A Hawkes process is a type of point process that exhibits self-exciting behavior, where the occurrence of one event increases the probability of other events happening in the near future. This makes Hawkes processes well-suited for capturing the clustered arrival patterns of orders …
Multicolor Bipartite Ramsey Numbers Of Balanced Double Stars, Ella Oren-Dahan
Multicolor Bipartite Ramsey Numbers Of Balanced Double Stars, Ella Oren-Dahan
Theses, Dissertations and Culminating Projects
Given an integer n ≥ 1, the balanced double star Sn,n is a tree consisting of two vertex disjoint stars with n leaves each, connected at their central vertices by an edge. Given r ≥ 2, we consider the problem of finding the smallest integer N such that every r-colored complete bipartite graph KN,N contains a monochromatic copy of the balanced double star Sn,n. This question is an instance of a problem within Ramsey theory. In this thesis, we cover the history of Ramsey theory and our problem in general, provide an alternative approach to prove the two colored case, …
On The Number Of Strong Dominating Sets In A Graph, Frankie Mennicucci
On The Number Of Strong Dominating Sets In A Graph, Frankie Mennicucci
Theses, Dissertations and Culminating Projects
This thesis investigates various problems related to the number of strong dominating sets in a graph. Given a graph G, a set of vertices D is said to be dominating if every vertex outside of D has a neighbor in D. Bród and Skupién proved that the number of dominating sets in a tree T on n vertices is at most 2ⁿ⁻¹ + 1. A set S of vertices in a graph G is a strong dominating set if every vertex x outside of S has a neighbor y ∈ S with d(y) ≥ d(x). We investigate the number of …
The Forget Time For Random Walks On Trees Of A Fixed Diameter, Lola R. Vescovo
The Forget Time For Random Walks On Trees Of A Fixed Diameter, Lola R. Vescovo
Mathematics, Statistics, and Computer Science Honors Projects
A mixing measure is the expected length of a random walk on a graph given a set of starting and stopping conditions. We study a mixing measure called the forget time. Given a graph G, the pessimal access time for a target distribution is the expected length of an optimal stopping rule to that target distribution, starting from the worst initial vertex. The forget time of G is the smallest pessimal access time among all possible target distributions. We prove that the balanced double broom maximizes the forget time on the set of trees on n vertices with diameter …
A Central Limit Theorem For The Number Of Excursion Set Components Of Gaussian Fields, Dmitry Beliaev, Michael Mcauley, Stephen Muirhead
A Central Limit Theorem For The Number Of Excursion Set Components Of Gaussian Fields, Dmitry Beliaev, Michael Mcauley, Stephen Muirhead
Articles
For a smooth stationary Gaussian field f on Rd and level ℓ ∈ R, we consider the number of connected components of the excursion set {f ≥ ℓ} (or level set {f = ℓ}) contained in large domains. The mean of this quantity is known to scale like the volume of the domain under general assumptions on the field. We prove that, assuming sufficient decay of correlations (e.g. the Bargmann-Fock field), a central limit theorem holds with volume-order scaling. Previously such a result had only been established for ‘additive’ geometric functionals of the excursion/level sets (e.g. the volume or …
A Statistical Look Into How Common Soccer Metrics Influence Expected Goal Measures In The Professional Game, Tristan George Rumsey
A Statistical Look Into How Common Soccer Metrics Influence Expected Goal Measures In The Professional Game, Tristan George Rumsey
Undergraduate Honors Thesis Collection
The advent of sports analytics has ignited a fervor across all sporting disciplines, particularly soccer, where clubs are sprinting to harness vast data reserves to elevate team performance, spearhead effective marketing endeavors, and bolster financial gains crucial for club expansion. Much like Billy Beane's transformative "Moneyball" approach, soccer clubs are in pursuit of innovative strategies to transcend financial limitations and achieve triumph. In soccer, where goals are scarce commodities, heightened offensive efficacy becomes imperative. Presently, one metric stands out as pivotal in gauging a team's goal-scoring success: expected goals (xG). This metric quantifies the likelihood of a given shot or …
New Algorithms For The Multiplication Table Problem, Evan Blom
New Algorithms For The Multiplication Table Problem, Evan Blom
Undergraduate Honors Thesis Collection
In 1955, Paul Erdős initiated the study of a function that counts the number of distinct integers in an (n × n) multiplication table. That is, he studied M(n) = |{i · j, 1 ≤ i, j ≤ n}|. Much research has been done in regards to both asymptotic and exact approximations of M(n) for increasingly large values of n. Recently, Brent et. al. investigated the algorithmic cost in computing this function. Instead of computing M(n) directly, their approach was to compute it incrementally. That is, given M(n−1), they could quickly compute M(n) using another function δ(n) to count the …
The Nature Of Undergraduate Calculus I Students' Participation In The Parallel Spaces Of Coursework And Peer-Led, Cooperative, Inquiry-Oriented Complementary Instruction, Karmen T. Yu
Theses, Dissertations and Culminating Projects
Calculus has long been known as a “gateway course” to STEM fields in postsecondary education. To moderate this gatekeeping effect, Montclair State University researchers developed a peer-led, inquiry-based instructional support (IBIS) to run parallel to Calculus classes. The design of the IBIS model was informed by an instructional approach called Complex Instruction (CI) and two other peer-led, cooperative learning models, Peer-Led Team Learning (PLTL) and Supplemental Instruction (SI). While the literature on peer-led models of cooperative learning confirms their effectiveness on undergraduate students’ academic outcomes in mathematics, this multiple-case study set out to address the following: What is the nature …
Asteroidal Sets And Dominating Targets In Graphs, Oleksiy Al-Saadi
Asteroidal Sets And Dominating Targets In Graphs, Oleksiy Al-Saadi
School of Computing: Dissertations, Theses, and Student Research
The focus of this PhD thesis is on various distance and domination properties in graphs. In particular, we prove strong results about the interactions between asteroidal sets and dominating targets. Our results add to or extend a plethora of results on these properties within the literature. We define the class of strict dominating pair graphs and show structural and algorithmic properties of this class. Notably, we prove that such graphs have diameter 3, 4, or contain an asteroidal quadruple. Then, we design an algorithm to to efficiently recognize chordal hereditary dominating pair graphs. We provide new results that describe the …
Spatiotemporal Negative Inventory Outlier Decomposition For Supply Chain Applications In Consumer-Packaged Goods (Cpg), Hayden Mcdonald
Spatiotemporal Negative Inventory Outlier Decomposition For Supply Chain Applications In Consumer-Packaged Goods (Cpg), Hayden Mcdonald
Data Science Undergraduate Honors Theses
Coca-Cola is a popular soft drink brand with sales occurring in every Walmart store across the world, which generates large quantities of data and requires a robust supply chain system. However, the company does not currently have a sophisticated, automated, and/or prescriptive system for detecting where, when, and why inventory outages occur and applying preventative measures to avoid loss of revenue from the absence of inventory on store shelves. This thesis proposes and applies a novel, prescriptive system for this purpose. An inventory outage can be seen as a ‘negative’ statistical outlier in a time series of inventory for an …
Elasticity Of Orders In Quadratic Rings Of Integers, Jared Kettinger
Elasticity Of Orders In Quadratic Rings Of Integers, Jared Kettinger
All Theses
This project explores elasticity in quadratic rings of integers, specifically, those of the form Z[pω] where p is a rational prime which remains prime in Z[w]. For these rings, we establish an upper bound on the elasticity which is attained in many cases. We also prove that this upper bound is an equality in the case when the ring of integers is a unique factorization domain. During this process, we also prove theorems about the class group of quadratic rings of integers and develop a useful method for calculating a constant similar to the Davenport constant.
Domination In Graphs And The Removal Of A Matching, Geoffrey Boyer
Domination In Graphs And The Removal Of A Matching, Geoffrey Boyer
All Theses
We consider how the domination number of an undirected graph changes on the removal of a maximal matching. It is straightforward that there are graphs where no matching removal increases the domination number, and where some matching removal doubles the domination number. We show that in a nontrivial tree there is always a matching removal that increases the domination number; and if a graph has domination number at least $2$ there is always a maximal matching removal that does not double the domination number. We show that these results are sharp and discuss related questions.
Mathematics Majors In Medical School Admissions: A Comparative Evaluation Of Mcat And Gpa Performance, Morgan Baker
Mathematics Majors In Medical School Admissions: A Comparative Evaluation Of Mcat And Gpa Performance, Morgan Baker
Theses/Capstones/Creative Projects
Choosing a major as an incoming undergraduate student can be very stressful. This study investigates the differences in success that come with choice of undergraduate major, particularly focusing on the performance of mathematics majors. A large majority of medical school applicants come from a biological sciences background. Despite this preference, there is evidence that students from nontraditional majors produce higher Medical College Admission Test (MCAT) scores and superior grade point averages (GPAs). Utilizing data visualization and analysis through R programming, this research examines public data from the Association of American Medical Colleges (AAMC) to understand the benefits of pursuing a …
Derived Jet Schemes And Arc Spaces, And Arithmetic Arc Space Representability, C. Eric Overton-Walker
Derived Jet Schemes And Arc Spaces, And Arithmetic Arc Space Representability, C. Eric Overton-Walker
Graduate Theses and Dissertations
Associated to a given scheme X one can define geometric and arithmetic notions of jet schemes and arc spaces. We develop a construction of the geometric jets and arcs in the setting of derived schemes and explore consequences thereof. In particular, we prove an analogous theorem to that of one by Tommaso de Fernex and Roi Docampo concerning the cotangent sheaves of geometric jets and arcs. Our version then produces many subsequent results which allow us to prove stronger versions of results concerning geometric jets and arcs by removing unnecessary hypotheses. Separately, we explore evidence as to why, in contrast …