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Bregman–Minc inequality

In discrete mathematics, the Bregman–Minc inequality, or Bregman's theorem, allows one to estimate the permanent of a binary matrix via its row or column sums. The inequality was conjectured in 1963 by Henryk Minc and first proved in 1973 by Lev M. Bregman.[1][2] Further entropy-based proofs have been given by Alexander Schrijver and Jaikumar Radhakrishnan.[3][4] The Bregman–Minc inequality is used, for example, in graph theory to obtain upper bounds for the number of perfect matchings in a bipartite graph.

Statement edit

The permanent of a square binary matrix   of size   with row sums   for   can be estimated by

 

The permanent is therefore bounded by the product of the geometric means of the numbers from   to   for  . Equality holds if the matrix is a block diagonal matrix consisting of matrices of ones or results from row and/or column permutations of such a block diagonal matrix. Since the permanent is invariant under transposition, the inequality also holds for the column sums of the matrix accordingly.[5][6]

Application edit

 
A binary matrix and the corresponding bipartite graph with a possible perfect matching marked in red. According to the Bregman–Minc inequality, there are at most 18 perfect matchings in this graph.

There is a one-to-one correspondence between a square binary matrix   of size   and a simple bipartite graph   with equal-sized partitions   and   by taking

 

This way, each nonzero entry of the matrix   defines an edge in the graph   and vice versa. A perfect matching in   is a selection of   edges, such that each vertex of the graph is an endpoint of one of these edges. Each nonzero summand of the permanent of   satisfying

 

corresponds to a perfect matching   of  . Therefore, if   denotes the set of perfect matchings of  ,

 

holds. The Bregman–Minc inequality now yields the estimate

 

where   is the degree of the vertex  . Due to symmetry, the corresponding estimate also holds for   instead of  . The number of possible perfect matchings in a bipartite graph with equal-sized partitions can therefore be estimated via the degrees of the vertices of any of the two partitions.[7]

Related statements edit

Using the inequality of arithmetic and geometric means, the Bregman–Minc inequality directly implies the weaker estimate

 

which was proven by Henryk Minc already in 1963. Another direct consequence of the Bregman–Minc inequality is a proof of the following conjecture of Herbert Ryser from 1960. Let   by a divisor of   and let   denote the set of square binary matrices of size   with row and column sums equal to  , then

 

The maximum is thereby attained for a block diagonal matrix whose diagonal blocks are square matrices of ones of size  . A corresponding statement for the case that   is not a divisor of   is an open mathematical problem.[5][6]

See also edit

References edit

  1. ^ Henryk Minc (1963), "Upper bounds for permanents of (0,1)-matrices", Bull. Amer. Math. Soc., 69: 789–791, doi:10.1090/s0002-9904-1963-11031-9
  2. ^ Lev Bregman (1973), "Some properties of nonnegative matrices and their permanents", Soviet Math. Dokl., 14: 945–949
  3. ^ Alexander Schrijver (1978), "A short proof of Minc's conjecture", J. Combin. Theory Ser. A, 25: 80–83, doi:10.1016/0097-3165(78)90036-5
  4. ^ Jaikumar Radhakrishnan (1997), "An entropy proof of Bregman's theorem", J. Combin. Theory Ser. A, 77: 161–164, doi:10.1006/jcta.1996.2727
  5. ^ a b Henryk Minc (1984), Permanents, Encyclopedia of Mathematics and its Applications, vol. 6, Cambridge University Press, pp. 107–109
  6. ^ a b Vladimir Sachkov (1996), Combinatorial Methods in Discrete Mathematics, Cambridge University Press, pp. 95–97
  7. ^ Martin Aigner, Günter M. Ziegler (2015), Das Buch der Beweise (4. ed.), Springer, pp. 285–292

External links edit

  • Robin Whitty. "Bregman's Theorem" (PDF; 274 KB). Theorem of the Day. Retrieved 19 October 2015.

bregman, minc, inequality, discrete, mathematics, bregman, theorem, allows, estimate, permanent, binary, matrix, column, sums, inequality, conjectured, 1963, henryk, minc, first, proved, 1973, bregman, further, entropy, based, proofs, have, been, given, alexan. In discrete mathematics the Bregman Minc inequality or Bregman s theorem allows one to estimate the permanent of a binary matrix via its row or column sums The inequality was conjectured in 1963 by Henryk Minc and first proved in 1973 by Lev M Bregman 1 2 Further entropy based proofs have been given by Alexander Schrijver and Jaikumar Radhakrishnan 3 4 The Bregman Minc inequality is used for example in graph theory to obtain upper bounds for the number of perfect matchings in a bipartite graph Contents 1 Statement 2 Application 3 Related statements 4 See also 5 References 6 External linksStatement editThe permanent of a square binary matrix A a i j displaystyle A a ij nbsp of size n displaystyle n nbsp with row sums r i a i 1 a i n displaystyle r i a i1 cdots a in nbsp for i 1 n displaystyle i 1 ldots n nbsp can be estimated by per A i 1 n r i 1 r i displaystyle operatorname per A leq prod i 1 n r i 1 r i nbsp The permanent is therefore bounded by the product of the geometric means of the numbers from 1 displaystyle 1 nbsp to r i displaystyle r i nbsp for i 1 n displaystyle i 1 ldots n nbsp Equality holds if the matrix is a block diagonal matrix consisting of matrices of ones or results from row and or column permutations of such a block diagonal matrix Since the permanent is invariant under transposition the inequality also holds for the column sums of the matrix accordingly 5 6 Application edit nbsp A binary matrix and the corresponding bipartite graph with a possible perfect matching marked in red According to the Bregman Minc inequality there are at most 18 perfect matchings in this graph There is a one to one correspondence between a square binary matrix A displaystyle A nbsp of size n displaystyle n nbsp and a simple bipartite graph G V W E displaystyle G V dot cup W E nbsp with equal sized partitions V v 1 v n displaystyle V v 1 ldots v n nbsp and W w 1 w n displaystyle W w 1 ldots w n nbsp by taking a i j 1 v i w j E displaystyle a ij 1 Leftrightarrow v i w j in E nbsp This way each nonzero entry of the matrix A displaystyle A nbsp defines an edge in the graph G displaystyle G nbsp and vice versa A perfect matching in G displaystyle G nbsp is a selection of n displaystyle n nbsp edges such that each vertex of the graph is an endpoint of one of these edges Each nonzero summand of the permanent of A displaystyle A nbsp satisfying a 1 s 1 a n s n 1 displaystyle a 1 sigma 1 cdots a n sigma n 1 nbsp corresponds to a perfect matching v 1 w s 1 v n w s n displaystyle v 1 w sigma 1 ldots v n w sigma n nbsp of G displaystyle G nbsp Therefore if M G displaystyle mathcal M G nbsp denotes the set of perfect matchings of G displaystyle G nbsp M G per A displaystyle mathcal M G operatorname per A nbsp holds The Bregman Minc inequality now yields the estimate M G i 1 n d v i 1 d v i displaystyle mathcal M G leq prod i 1 n d v i 1 d v i nbsp where d v i displaystyle d v i nbsp is the degree of the vertex v i displaystyle v i nbsp Due to symmetry the corresponding estimate also holds for d w i displaystyle d w i nbsp instead of d v i displaystyle d v i nbsp The number of possible perfect matchings in a bipartite graph with equal sized partitions can therefore be estimated via the degrees of the vertices of any of the two partitions 7 Related statements editUsing the inequality of arithmetic and geometric means the Bregman Minc inequality directly implies the weaker estimate per A i 1 n r i 1 2 displaystyle operatorname per A leq prod i 1 n frac r i 1 2 nbsp which was proven by Henryk Minc already in 1963 Another direct consequence of the Bregman Minc inequality is a proof of the following conjecture of Herbert Ryser from 1960 Let k displaystyle k nbsp by a divisor of n displaystyle n nbsp and let L k n displaystyle Lambda kn nbsp denote the set of square binary matrices of size n displaystyle n nbsp with row and column sums equal to k displaystyle k nbsp then max A L k n per A k n k displaystyle max A in Lambda kn operatorname per A k n k nbsp The maximum is thereby attained for a block diagonal matrix whose diagonal blocks are square matrices of ones of size k displaystyle k nbsp A corresponding statement for the case that k displaystyle k nbsp is not a divisor of n displaystyle n nbsp is an open mathematical problem 5 6 See also editComputing the permanentReferences edit Henryk Minc 1963 Upper bounds for permanents of 0 1 matrices Bull Amer Math Soc 69 789 791 doi 10 1090 s0002 9904 1963 11031 9 Lev Bregman 1973 Some properties of nonnegative matrices and their permanents Soviet Math Dokl 14 945 949 Alexander Schrijver 1978 A short proof of Minc s conjecture J Combin Theory Ser A 25 80 83 doi 10 1016 0097 3165 78 90036 5 Jaikumar Radhakrishnan 1997 An entropy proof of Bregman s theorem J Combin Theory Ser A 77 161 164 doi 10 1006 jcta 1996 2727 a b Henryk Minc 1984 Permanents Encyclopedia of Mathematics and its Applications vol 6 Cambridge University Press pp 107 109 a b Vladimir Sachkov 1996 Combinatorial Methods in Discrete Mathematics Cambridge University Press pp 95 97 Martin Aigner Gunter M Ziegler 2015 Das Buch der Beweise 4 ed Springer pp 285 292External links editRobin Whitty Bregman s Theorem PDF 274 KB Theorem of the Day Retrieved 19 October 2015 Retrieved from https en wikipedia org w index php title Bregman Minc inequality amp oldid 1136314512, wikipedia, wiki, book, books, library,

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