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In [[mathematics]], a '''balanced matrix''' is a 0-1 [[Matrix (mathematics)|matrix]] (a matrix where every entry is either zero or one) that does not contain any [[Square matrix|square submatrix]] of odd order having all row sums and all column sums equal to 2.
Balanced matrices are studied in '''[[linear programming]]'''. The importance of balanced matrices comes from the fact that the solution to a linear programming problem is integral if its matrix of coefficients is balanced and its right hand side or its
As an example, the following matrix is a balanced matrix:
:<math>\begin{bmatrix}
The only three by three 0-1 matrix that is not balanced is (up to permutation of the rows and columns) the cycle matrix of order 3:▼
1 & 1 & 1 & 1\\
1 & 1 & 0 & 0\\
1 & 0 & 1 & 0\\
1 & 0 & 0 & 1\\
\end{bmatrix}</math>
== Characterization by forbidden submatrices ==
Equivalent to the definition, a 0-1 matrix is balanced [[if and only if]] it does not contain a submatrix that is the [[incidence matrix]] of any ''odd cycle'' (a [[cycle graph]] of odd order).<ref name="Schrijver1998" />
▲
:<math>C_3=\begin{bmatrix}
1 & 0 & 1\\
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0 & 1 & 1\\
\end{bmatrix}</math>
:<math>C_5=\begin{bmatrix}
1 & 0 & 0 & 0 & 1\\
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0 & 0 & 0 & 1 & 1\\
\end{bmatrix}</math>
The above characterization implies that any matrix containing <math>
== Connection to other matrix classes ==
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Every balanced matrix is a [[perfect matrix]].
More restricting than the notion of balanced matrices is the notion of ''totally balanced
Moreover, any 0-1 matrix that is [[totally unimodular]] is also balanced. The following matrix is a balanced matrix as it does not contain any submatrix that is the incidence matrix of an odd
:<math>\begin{bmatrix}
1 & 1 & 1 & 1\\
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1 & 0 & 0 & 1\\
\end{bmatrix}</math>
Since this matrix is not totally unimodular (its determinant is -2), 0-1 totally unimodular matrices are a [[proper subset]] of balanced matrices.
For example, balanced matrices arise as the coefficient matrix in special cases of the [[set partitioning problem]].
An alternative method of identifying
▲An alternative method of identifying a balanced matrix that is also a zero-one matrix is through the subsequence count, where the subsequence count ''SC'' of any row s of matrix ''A'' is
:'''SC''' = |{''t'' | [''a''<sub>''sj''</sub> = 1, ''a''<sub>''ij''</sub> = 0 for ''s'' < ''i'' < ''t'', ''a''<sub>''tj''</sub> = 1], ''j'' = 1, ..., ''n''}|
If a 0-1 matrix ''A'' has SC(''s'') ≤ 1 for all rows ''s'' = 1, ..., ''m'', then ''A'' has a unique subsequence, is totally unimodular<ref name="RyanFalkner" /> and therefore also balanced. Note that this condition is sufficient but not necessary for ''A'' to be balanced. In other words, the 0-1 matrices with SC(''s'') ≤ 1 for all rows ''s'' = 1, ..., ''m'' are a proper subset of the set of balanced matrices.
== References ==
{{reflist}}
▲* {{citation|doi=10.1016/j.disc.2005.12.033|title=Balanced matrices|journal=Discrete Mathematics|volume=306|issue=19–20|pages=2411|year=2006|last1=Conforti|first1=Michele|last2=Cornuéjols|first2=Gérard|last3=Vušković|first3=Kristina}} A retrospective and tutorial.
[[Category:Matrices (mathematics)]]
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