In 1967, Shub obtained his Ph.D. degree at the University of California, Berkeley with a thesis entitled Endomorphisms of Compact Differentiable Manifolds. In his Ph.D. thesis, he introduced the notion of expanding maps, which gave the first examples of structurally stable strange attractors. His advisor was Stephen Smale.[1]
From 1985 to 2004, he joined IBM's Thomas J. Watson Research Center. In 1987, Shub published his book Global Stability of Dynamical Systems, which is often used as a reference in introductory and advanced books on the subject of dynamical systems.[3][4][5] In 1993, Shub and Stephen Smale initiated a rigorous analysis of homotopy-based algorithms for solving systems of nonlinear algebraic equations, which has inspired much of the work in that area during the last two decades.[6]
Shub, along with coauthors Lenore and Manuel Blum, described a simple, unpredictable, secure random number generator (see Blum Blum Shub). This random generator is useful from theoretical and practical perspectives.[8]
In 1989, he proposed with Lenore Blum and Stephen Smale the notion of Blum–Shub–Smale machine, an alternative to the classical Turing model of computation. Their model is used to analyse the computability of functions.[9]
^Bürgisser, Peter; Cucker, Felipe (2013). Condition: The Geometry of Numerical Algorithms. New York City: Springer-Verlag. p. 283. ISBN978-3-642-38895-8.
^ abcdeYork, The City College of New (2016-09-06). "Michael Shub". The City College of New York. Retrieved 2023-02-21.
^Stinson, Douglas R. (2005). Cryptography: Theory and Practice, Third Edition. Oxfordshire, England: Taylor & Francis. p. 336. ISBN978-1584885085.