Analysis and Applied Math Seminar
The Analysis and Applied Mathematics (AAM) Seminar is intended for Kennesaw State faculty working in the various areas of analysis and applied mathematics to get together to discuss their current work or related questions. Seminars often involved advanced mathematical knowledge. However, the seminars are open to anyone who is interested in attending.
Friday, February 8, 2019
- Yu Chen, University of Graz, Austria
- "Push or Pull? Performance-Pay, Incentives, and Information"
- TIME/LOCATION: 3:05-4:00pm, D-249, Marietta campus
- ABSTRACT: We study a principal-agent model wherein the agent is better informed of
the prospects of the project, and the project requires both an observable and unobservable
input (with both moral hazard and adverse selection). We use the functional analysis
and system of differential equations as our analytical tools and characterize the
optimal contracts, and explore the trade-offs between high and low-powered incentive
schemes. We discuss the implications for push and pull programs used to encourage
R&D activity, but our results are relevant in other contexts.
Keywords: Pay for Performance, Moral Hazard, Adverse Selection, Observable Action, Principal-Agent Problem
This talk is appropriate for the students with serious interest in applied research in game theory and economics.
Friday, November 30, 2018
- Bo Yang, Kennesaw State University
- "Developments in Higher Order Maximum Principles"
- TIME/LOCATION: 1:00-2:00pm, D-249, Marietta campus
- ABSTRACT: We first give a survey of some classical results on higher order maximum principles that are from the literature, and discuss different techniques for obtaining these principles. Then we look at several particular classes of boundary value problems and study in detail the maximum principles for these problems.
Friday, November 16, 2018
- Min Wang, Kennesaw State University
- "A fractional differential equation model for bike share systems"
- TIME/LOCATION: 2:00-3:00pm, D-218, Marietta campus
- ABSTRACT: In this talk, a fractional differential equation model is developed to describe the bike share station inventory based on data analysis of historical data of bike share systems in Philadelphia and Atlanta. The analytic solution of the model and a related control problem are investigated as well.
Friday, September 7, 2018
- Eric Stachura, Kennesaw State University