Michael Tsatsomeros

Biography

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Research Interests

Linear algebra, matrix analysis, especially the theory of nonnegative matrices and their generalizations. Particular interests include the numerical range; graphs and patterns associated with matrices; numerical linear algebra; applications in dynamical systems, control theory, data analysis, machine learning and artificial intelligence.

Education

• Ph.D., Mathematics, University of Connecticut – 1990
• M.Sc., Mathematics, Concordia University, Montreal – 1986
• Diploma, Mathematics, University of Patras, Greece – 1984

Recent Publications

• Panayiotis J. Psarrakos and Michael J. Tsatsomeros,
  Linear Algebra and Matrix Methods, First Edition, Cognella, San Diego, 2025.
• Charles R. Johnson, Ronald L. Smith, and Michael J. Tsatsomeros,
  Matrix Positivity, Cambridge University Press, 2020.
• Tikesh Vermaa, Debasisha Mishra, Michael Tsatsomeros, Cayley Transform for Toeplitz
  and Dual Matrices, Linear Algebra and its Applications, 2024.
• Samir Mondal, K.C. Sivakumar, M.J. Tsatsomeros, P-matrix Powers, 
  Linear Algebra and its Applications, 2024.
• M.J. Tsatsomeros, D.D. Olesky, P. van den Driessche, Characterizations of Complex
  P-matrices, Electronic Journal of Linear Algebra, 40:682-691, 2024.
• Samir Mondal, K.C. Sivakumar, M.J. Tsatsomeros, The Cayley Transform of Prevalent
  Matrix Classes, Linear Algebra and its Applications, 681: 1-20, 2024.
• K.C. Sivakumar, P. Sushmitha, and Michael Tsatsomeros, Q#-Matrices and Q+-Matrices:
  Two Extensions of the Q-Matrix Concept. Linear and Multilinear Algebra, 70(21): 6947-
  6964, 2022.
• Samir Mondal, K.C. Sivakumar and M.J. Tsatsomeros, New Results on M-matrices,
  H-matrices and their Inverse Classes. Electronic Journal of Linear Algebra, 38: 729-744,
  2022.
• Michael J. Tsatsomeros and Faith Zhang, Recursive Rank One Perturbations for Pole
  Placement and Cone Reachability.,Applied Mathematics and Computation, Vol. 416,
  Issue C, March 2022.
• Hung V. Le and M.J. Tsatsomeros, Matrix Analysis for Inhomogeneous Markov Chains,
  Special Matrices, 10: 219-233, 2022.