Investigations Into Bolzano's Bounded Set Theorem,
2020
Ursinus College
Investigations Into Bolzano's Bounded Set Theorem, Dave Ruch
Analysis
No abstract provided.
Investigations Into D'Alembert's Definition Of Limit (Real Analysis Version),
2020
Ursinus College
Investigations Into D'Alembert's Definition Of Limit (Real Analysis Version), Dave Ruch
Analysis
No abstract provided.
Preparing For The Future: The Effects Of Financial Literacy On Financial Planning For Young Professionals,
2020
University of South Carolina - Columbia
Preparing For The Future: The Effects Of Financial Literacy On Financial Planning For Young Professionals, Tanay Singh
Senior Theses
Purpose – Many people between the age of 20 and 34 have not considered planning financially for the future in any significant capacity and in doing so, they limit their potential savings. The purpose of this study is to examine what financial expectations are for people in the early stages of their career and determine if improving financial literacy and revealing financial realities helps to produce more accurate or realistic expectations. Ultimately, the goal is to better prepare participants in the study for the working world and increased responsibilities outside of the college/university environment by getting them to start thinking …
Chebyshev Type Inequalities Involving The Fractional Integral Operator Containing Multi-Index Mittag-Leffler Function In The Kernel,
2020
Rajasthan Technical University
Chebyshev Type Inequalities Involving The Fractional Integral Operator Containing Multi-Index Mittag-Leffler Function In The Kernel, S. D. Purohit, N. Jolly, M. K. Bansal, Jagdev Singh, Devendra Kumar
Applications and Applied Mathematics: An International Journal (AAM)
Recently, several authors have investigated Chebyshev type inequalities for numerous fractional integral operators. Being motivated by the work done by earlier researchers and their numerous applications in probability, transform theory, numerical quadrature, statistical problems and its significance in fractional boundary value problems. We aim to evaluate Chebyshev type inequalities involving fractional integral operator containing multi-index Mittag-Leffler function in the kernel. Admissible connections of the results mentioned in this article to those associated with previously established familiar fractional integral operators have been pointed out.
Ruscheweyh-Goyal Derivative Of Fractional Order, Its Properties Pertaining To Pre-Starlike Type Functions And Applications,
2020
Malaviya National Institute of Technology
Ruscheweyh-Goyal Derivative Of Fractional Order, Its Properties Pertaining To Pre-Starlike Type Functions And Applications, Ritu Agarwal, G. S. Paliwal
Applications and Applied Mathematics: An International Journal (AAM)
The study of the operators possessing convolution form and their properties is considered advantageous in geometric function theory. In 1975 Ruscheweyh defined operator for analytic functions using the technique of convolution. In 2005, Goyal and Goyal generalized the Ruscheweyh operator to fractional order (which we call here Ruscheweyh-Goyal differential operator) using Srivastava-Saigo fractional differential operator involving hypergeometric function. Inspired by these earlier efforts, we discuss the properties of the Ruscheweyh-Goyal derivative of arbitrary order. We define a class of pre-starlike type functions involving the Ruscheweyh-Goyal fractional derivative and obtain the inclusion relation. Further, we prove that Ruscheweyh-Goyal derivative operator preserve …
Class Of Integrals Involving Generalized Hypergeometric Function,
2020
Wollo University
Class Of Integrals Involving Generalized Hypergeometric Function, D. L. Suthar, Teklay Hailay, Hafte Amsalu, Jagdev Singh
Applications and Applied Mathematics: An International Journal (AAM)
In this paper, we establish some definite integrals involving generalized hypergeometric function, product of algebraic functions, Jacobi function, Legendre function and general class of polynomials. Certain special cases of the main results are also pointed out.
Memory-Modulated Cir Process With Discrete Delay Coefficients,
2020
University of Indianapolis, Indianapolis, IN 46227, USA
Memory-Modulated Cir Process With Discrete Delay Coefficients, Pathiranage Lochana Siriwardena, Harry Randolph Hughes, D. G. Wilathgamuwa
Journal of Stochastic Analysis
No abstract provided.
Some Exit Time Estimates For Super-Brownian Motion And Fleming-Viot Process,
2020
University of Pittsburgh, Pittsburgh, PA 15260, USA
Some Exit Time Estimates For Super-Brownian Motion And Fleming-Viot Process, Parisa Fatheddin
Journal of Stochastic Analysis
No abstract provided.
An Improved Uniqueness Result For A System Of Sde Related To The Stochastic Wave Equation,
2020
University of Rochester, Rochester, NY 14627, USA
An Improved Uniqueness Result For A System Of Sde Related To The Stochastic Wave Equation, Carl Mueller, Eyal Neuman, Michael Salins, Giang Truong
Journal of Stochastic Analysis
No abstract provided.
Collaboration (Reacting To The Past/Math/History/Writing),
2020
California State University, San Bernardino
Collaboration (Reacting To The Past/Math/History/Writing), James Hayashi
Q2S Enhancing Pedagogy
This is an assignment for a Freshman level course in the College of Natural Science. By the end students will have an understanding of valid research, collaboration and communication skills. Faculty that chooses to use this assignment will be preparing students for an active learning environment, and understanding a “Big Idea”, valid research, technology and communication skills.
Faculty should give an example of what is valid research. As students are completing this assignment mini deadlines (check-ins) shall be set. With the check-ins for this assignment focus on how the group will communicate the check point and the collaboration.
The focus …
Large And Moderate Deviation Principles For Recursive Kernel Estimators For Spatial Data,
2020
Alliance Sorbonne Universités, Université de Technologie de Compiègne, L.M.A.C., Compiègne, France
Large And Moderate Deviation Principles For Recursive Kernel Estimators For Spatial Data, Salim Bouzebda, Yousri Slaoui
Journal of Stochastic Analysis
No abstract provided.
Closed Quantum Black-Scholes: Quantum Drift And The Heisenberg Equation Of Motion,
2020
Investec Bank PLC, 30 Gresham Street, London EC2V 7QP, United Kingdom
Closed Quantum Black-Scholes: Quantum Drift And The Heisenberg Equation Of Motion, Will Hicks
Journal of Stochastic Analysis
No abstract provided.
Exit Problems For Jump-Diffusion Processes With Uniform Jumps,
2020
Polytechnique Montréal, Montréal, Québec H3C 3A7, Canada
Exit Problems For Jump-Diffusion Processes With Uniform Jumps, Mario Lefebvre
Journal of Stochastic Analysis
No abstract provided.
Ogawa Integrability And A Condition For Convergence In The Multidimensional Case,
2020
University of Trento, via Sommarive 14, 38123, Italy
Ogawa Integrability And A Condition For Convergence In The Multidimensional Case, Nicolò Cangiotti, Sonia Mazzucchi
Journal of Stochastic Analysis
No abstract provided.
Mixing Coefficient For Discrete-Time Stochastic Flow,
2020
Institute of Mathematics NAS of Ukraine, Kyiv, Ukraine
Mixing Coefficient For Discrete-Time Stochastic Flow, E.V. Glinyanaya
Journal of Stochastic Analysis
No abstract provided.
On A Class Of Average Preserving Semi-Martingale Laws Optimization Problems,
2020
Université Paris-Dauphine, PSL, Place du Maréchal De Lattre De Tassigny, 75775 Paris Cedex 16, France
On A Class Of Average Preserving Semi-Martingale Laws Optimization Problems, Rémi Lassalle
Journal of Stochastic Analysis
No abstract provided.
The Semimartingale Dynamics And Generator Of A Continuous Time Semi-Markov Chain,
2020
University of Calgary, Calgary, AB, Canada
The Semimartingale Dynamics And Generator Of A Continuous Time Semi-Markov Chain, Robert J. Elliott
Journal of Stochastic Analysis
No abstract provided.
The Isoperimetric Inequality: Proofs By Convex And Differential Geometry,
2020
Potsdam University
The Isoperimetric Inequality: Proofs By Convex And Differential Geometry, Penelope Gehring
Rose-Hulman Undergraduate Mathematics Journal
The Isoperimetric Inequality has many different proofs using methods from diverse mathematical fields. In the paper, two methods to prove this inequality will be shown and compared. First the 2-dimensional case will be proven by tools of elementary differential geometry and Fourier analysis. Afterwards the theory of convex geometry will briefly be introduced and will be used to prove the Brunn--Minkowski-Inequality. Using this inequality, the Isoperimetric Inquality in n dimensions will be shown.
Geometry Across The Curriculum,
2020
California State University, San Bernardino
Geometry Across The Curriculum, Corey Dunn
Q2S Enhancing Pedagogy
This project is designed for a multicalculus class already familiar with computing the arc length of a parameterized curve in space. The activity asks the student to first recall basic facts about arc length, and then introduces the notion of measuring lengths of vectors differently, depending on where their initial point is. This is a foundational concept in metric differential geometry, and, this activity attempts to motivate this generalization of computing lengths of vectors through this arc length activity. The activity concludes with a short discussion of basic concepts of Lorentzian geometry, including the idea that lightlike vectors have length …
Discrepancy Inequalities In Graphs And Their Applications,
2020
University of Denver
Discrepancy Inequalities In Graphs And Their Applications, Adam Purcilly
Electronic Theses and Dissertations
Spectral graph theory, which is the use of eigenvalues of matrices associated with graphs, is a modern technique that has expanded our understanding of graphs and their structure. A particularly useful tool in spectral graph theory is the Expander Mixing Lemma, also known as the discrepancy inequality, which bounds the edge distribution between two sets based on the spectral gap. More specifically, it states that a small spectral gap of a graph implies that the edge distribution is close to random. This dissertation uses this tool to study two problems in extremal graph theory, then produces similar discrepancy inequalities based …
