Birkhoff–von Neumann theorem

E637943

The Birkhoff–von Neumann theorem is a fundamental result in matrix theory and combinatorics stating that every doubly stochastic matrix can be expressed as a convex combination of permutation matrices.

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Statements (47)

Predicate Object
instanceOf mathematical theorem
theorem in matrix theory
alsoKnownAs Birkhoff theorem on doubly stochastic matrices NERFINISHED
appliesTo finite square matrices
assumes column sums of the matrix equal 1
matrix entries are nonnegative real numbers
row sums of the matrix equal 1
author Garrett Birkhoff NERFINISHED
John von Neumann NERFINISHED
characterizes Birkhoff polytope as convex hull of permutation matrices
concerns n×n doubly stochastic matrices
n×n permutation matrices
conclusion matrix is a convex combination of permutation matrices
describes structure of doubly stochastic matrices
equivalentTo statement that extreme points of the Birkhoff polytope are permutation matrices
field combinatorics
linear algebra
matrix theory
polyhedral combinatorics
hasConsequence doubly stochastic matrices form a polytope
every doubly stochastic matrix is a finite convex combination of permutation matrices
vertices of the Birkhoff polytope are permutation matrices
implies The set of doubly stochastic matrices is the convex hull of permutation matrices.
involves convex hull
extreme points of a polytope
namedAfter Garrett Birkhoff NERFINISHED
John von Neumann NERFINISHED
relatedTo Carathéodory's theorem NERFINISHED
Hall's marriage theorem NERFINISHED
polytope theory
relatesConcept Birkhoff polytope NERFINISHED
assignment problem
bipartite graph perfect matchings
convex combination
doubly stochastic matrix
permutation matrix
transportation problem
statement Every doubly stochastic matrix can be expressed as a convex combination of permutation matrices.
typeOfResult extreme point characterization
representation theorem
usedIn combinatorial optimization
design of randomized algorithms
matrix scaling and decomposition
network flow theory
quantum information theory
statistics
yearProved 1946

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Garrett Birkhoff notableConcept Birkhoff–von Neumann theorem