• in probability and combinatorics, a doubly stochastic matrix (also called bistochastic matrix) is a square matrix X = ( x i j ) {\displaystyle X=(x_{ij})}...
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  • summing to 1 (so it is also called a column stochastic matrix). A doubly stochastic matrix is a square matrix of nonnegative real numbers with each row...
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  • Doubly stochastic may refer to: Doubly stochastic model Doubly stochastic matrix This disambiguation page lists articles associated with the title Doubly...
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  • An n × n matrix P is doubly stochastic precisely if both P and its transpose PT are stochastic matrices. A stochastic matrix is a square matrix of nonnegative...
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    covariance matrix. Doubly stochastic matrix — a non-negative matrix such that each row and each column sums to 1 (thus the matrix is both left stochastic and...
    32 KB (1,336 words) - 21:01, 14 April 2025
  • of non-negative matrices, e.g. stochastic matrix; doubly stochastic matrix; symmetric non-negative matrix. Metzler matrix Berman, Abraham; Plemmons, Robert...
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    constant will yield a doubly stochastic matrix, whose row sums and column sums equal to unity. However, unlike the doubly stochastic matrix, the diagonal sums...
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  • are denoted A and B is a doubly stochastic matrix D such that DA = BD. If the doubly stochastic matrix is a permutation matrix, then it constitutes a graph...
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  • {\displaystyle R_{\pi }} . Every permutation matrix is doubly stochastic. The set of all doubly stochastic matrices is called the Birkhoff polytope, and...
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  • Waerden's conjecture that the matrix with all entries equal has the smallest permanent of any doubly stochastic matrix. 1985: Jozsef Beck for tight bounds...
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  • polytope are the permutation matrices, and therefore that any doubly stochastic matrix may be represented as a convex combination of permutation matrices;...
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    and sum up to one. Stochastic matrices are used to define Markov chains with finitely many states. A row of the stochastic matrix gives the probability...
    128 KB (15,698 words) - 22:28, 31 July 2025
  • orthostochastic matrix is a doubly stochastic matrix whose entries are the squares of the absolute values of the entries of some orthogonal matrix. The detailed...
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  • In mathematics, a unistochastic matrix (also called unitary-stochastic) is a doubly stochastic matrix whose entries are the squares of the absolute values...
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  • square real matrix A with strictly positive elements. Decomposition: A = D 1 S D 2 {\displaystyle A=D_{1}SD_{2}} , where S is doubly stochastic and D1 and...
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  • Sinkhorn's theorem (category Matrix theory)
    diagonal elements such that D1AD2 is doubly stochastic. The matrices D1 and D2 are unique modulo multiplying the first matrix by a positive number and dividing...
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  • Waerden's conjecture that the matrix with all entries equal has the smallest permanent of any doubly stochastic matrix. Egorychev is now a professor in...
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  • conjectured that the minimum permanent among all n × n doubly stochastic matrices is n!/nn, achieved by the matrix for which all entries are equal to 1/n. Proofs...
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  • _{j}(\log q_{j})P_{ij}),} where Pi j = |vi*wj|2. Since the matrix (Pi j)i j is a doubly stochastic matrix and -log is a convex function, the above expression...
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  • lottery on deterministic allocations. A bistochastic matrix (also called: doubly-stochastic) is a matrix in which all elements are greater than or equal to...
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  • probability theory and mathematical physics, a random matrix is a matrix-valued random variable—that is, a matrix in which some or all of its entries are sampled...
    53 KB (7,569 words) - 17:30, 21 July 2025
  • Random dynamical system (category Stochastic differential equations)
    for existence is similar with Birkhoff–von Neumann theorem for doubly stochastic matrix. Here is an example that illustrates the existence and non-uniqueness...
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    result due to Sinkhorn, which states that a doubly stochastic matrix is obtained from any square matrix with all positive entries by the iterative process...
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  • represent every n × n {\displaystyle n\times n} doubly stochastic matrix, and that some doubly stochastic matrices need this many permutation matrices....
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  • Gershgorin circle theorem (category Matrix theory)
    entries, see Perron–Frobenius theorem. Doubly stochastic matrix Hurwitz-stable matrix Joel Lee Brenner Metzler matrix Muirhead's inequality Bendixson's inequality...
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  • {\displaystyle \mathbf {x} =\mathbf {D} \mathbf {y} } for some doubly stochastic matrix D {\displaystyle \mathbf {D} } .: Thm. 2.1  In particular, x {\displaystyle...
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  • Marvin; Newman, Morris (1959). "On the minimum of the permanent of a doubly stochastic matrix". Duke Mathematical Journal. 26. doi:10.1215/S0012-7094-59-02606-7...
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  • Stochastic equicontinuity Stochastic gradient descent Stochastic grammar Stochastic investment model Stochastic kernel estimation Stochastic matrix Stochastic...
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  • from each other. The result relies on the observation that every doubly stochastic matrix is the convex hull of permutation matrices. For the Operations...
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  • perfect fractional matching, then the matrix representation of M {\displaystyle M} is a doubly stochastic matrix – the sum of elements in each row and...
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