Robert McCann

Professor University of Toronto, Department of Mathematics

  • Toronto ON

Professor McCann's research focuses on optimal transportation and its applications within and outside mathematics.

Contact

University of Toronto, Department of Mathematics

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Biography

McCann grew up in Windsor Ontario, and studied engineering and physics at Queen's University before completing his doctorate in mathematics at Princeton in 1994. In the subsequent years, McCann has emerged as a leading figure in the development of the theory of optimal transportation. His work balances very pure contributions to deep mathematics with the discovery of new applications to image processing, atmospheric circulation patterns, and to optimizing economic decisions.

Before accepting a position at the University of Toronto, McCann was Tamarkin Assistant Professor of Mathematics at Brown University in Providence, Rhode Island.

Industry Applications

Education/Learning
Research

Research Interests

Mathematical Physics
Mathematical Economics
Convex Analysis
Geometry
Optimization
Partial Differential Equations

Accomplishments

Coxeter-James Prize of the Canadian Mathematical Society

The Coxeter-James Prize was inaugurated to recognize young mathematicians who have made outstanding contributions to mathematical research. The first award was presented in 1978.

Monroe H. Martin Prize in Applied Mathematics

The prize will be awarded for an outstanding paper in applied mathematics (including numerical analysis) by a young research worker.

Education

Princeton University

Ph.D.

Mathematics

1994

Queen's University

Bachelor's Degree

Mathematics

1989

Affiliations

  • Fellow of the Royal Society of Canada (since 2014)
  • Fellow of the Fields Institute (since 2015)
  • Fellow of the American Mathematical Society (since 2012)

Articles

Academic wages and pyramid schemes: a mathematical model

Journal of Functional Analysis

2015

This paper analyzes a steady state matching model interrelating the education and labor sectors. In this model, a heterogeneous population of students match with teachers to enhance their cognitive skills. As adults, they then choose to become workers, managers, or teachers, who match in the labor or educational market to earn wages by producing output. We study the competitive equilibrium which results from the steady state requirement that the educational process replicate the same endogenous distribution of cognitive skills among ...

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Multi-to one-dimensional transportation

To appear in Communications on Pure and Applied Mathematics

2015

Fix probability densities f and g on open sets X⊂Rm and Y⊂Rn with m≥n≥1. Consider transporting f onto g so as to minimize the cost −s(x,y). We give a non-degeneracy condition (a) on s∈C1,1 which ensures the set of x paired with [g-a.e.] y∈Y lie in a codimension n submanifold of X. Specializing to the case m>n=1, we discover a nestedness criteria relating s to (f,g) which allows us to construct a unique optimal solution in the form of a map F:X⟶Y⎯⎯⎯⎯. When s∈C2∩W3,1 and logf and logg are bounded, the Kantorovich dual potentials (u,v) satisfy v∈C1,1loc(Y), and the normal velocity V of F−1(y) with respect to changes in y is given by V(x)=v"(f(x))−syy(x,f(x)). Positivity (b) of V locally implies a Lipschitz bound on f; moreover, v∈C2 if F−1(y) intersects ∂X∈C1 transversally (c)...

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Dual potentials for capacity constrained optimal transport

Calculus of Variations and Partial Differential Equations

2015

Optimal transportation with capacity constraints, a variant of the well-known optimal transportation problem, is concerned with transporting one probability density f ∈ L^ 1 (R^ m) f∈ L 1 (R m) onto another one g ∈ L^ 1 (R^ n) g∈ L 1 (R n) so as to optimize a cost function c ∈ L^ 1 (R^ m+ n) c∈ L 1 (R m+ n) while respecting the capacity constraints 0 ≤ h ≤ ̄ h ∈ L^ ∞ (R^ m+ n) 0≤ h≤ h¯∈ L∞(R m+ n). A linear programming duality for this problem was first proposed by Levin. In this note, we prove under mild assumptions on the ...

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