• My UNC Charlotte

  • Directory

  • Campus Events

  • Library

  • Prospective Students

    • About UNC Charlotte
    • Campus Life
    • Admissions
    • Graduate Admissions
  • Faculty and Staff

    • Human Resources
    • Auxiliary Services
    • Inside UNC Charlotte
    • Academic Affairs
  • Current Students

    • Athletics
    • Financial Aid
    • Advising
    • Student Health Center
  • Alumni and Friends

    • Alumni Association
    • Advancement
    • Foundation
    • Make a Gift
Colloquium, Department of Mathematics and Statistics
Colloquium, Department of Mathematics and Statistics
Colloquium Lectures
  • My UNC Charlotte

  • Directory

  • Campus Events

  • Library

  • Prospective Students

    • About UNC Charlotte
    • Campus Life
    • Admissions
    • Graduate Admissions
  • Faculty and Staff

    • Human Resources
    • Auxiliary Services
    • Inside UNC Charlotte
    • Academic Affairs
  • Current Students

    • Athletics
    • Financial Aid
    • Advising
    • Student Health Center
  • Alumni and Friends

    • Alumni Association
    • Advancement
    • Foundation
    • Make a Gift
  • Home

Contact Me

Duan Chen

Semester

  • Fall 2022
  • Past Talks
  • Spring 2022

Links

  • Dept Site

Wednesday, Sept 12, 4:00PM-5:00 PM, Conference room

September 07, 2018 by Duan Chen
Categories: Spring 2022
Professor: Prof. Sergei. Avdonin, Univ. of Alaska, Fairbanks
Title: Control and Inverse Problems for Differential Equations on Graphs
Abstract: Quantum graphs are metric graphs with differential equations defined on the edges. Recent interest in control and inverse problems for quantum graphs is motivated by applications to important problems of classical and quantum physics, chemistry, biology, and engineering.In this talk we describe some new controllability and identifiability results
for partial differential equations on compact graphs. In particular, we consider graph-like networks of inhomogeneous strings with masses attached at the interior vertices. We show that the wave transmitted through a mass is more regular than the incoming wave. Therefore, the regularity of the solution to the initial boundary value problem on an edge depends on the combinatorial distance of this edge from the source, that makes control and inverse problems for such systems more difficult.

We prove the exact controllability of the systems with the optimal number of controls and propose an algorithm recovering the unknown densities of the strings, lengths of the edges, attached masses, and the topology of the graph.

The proofs are based on the boundary control and leaf peeling methods de-
veloped in our previous papers. The boundary control method is a powerful method in inverse theory which uses deep connections between controllability and identifiability of distributed parameter systems and lends itself to straight-forward algorithmic implementations.

Click for more  

UNC Charlotte Homepage

Campus Links

  • Alerts
  • Jobs
  • Make a Gift
  • Maps / Directions
  • Accessibility

Resources

  • Alumni & Friends
  • Faculty & Staff
  • Prospective Students
  • Community
  • Current Students
  • Parents and Family

Stay In Touch

facebook instagram flickr linkedin twitter youtube maps

The University of North Carolina at Charlotte
9201 University City Blvd, Charlotte, NC 28223-0001
704-687-8622

© 2017 UNC Charlotte | All Rights Reserved
Contact Us | Terms of Use | University Policies
Skip to toolbar
  • Log In