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A Supnick matrix or Supnick array – named after Fred Supnick of the City College of New York, who introduced the notion in 1957 – is a Monge array which is also a symmetric matrix.

Mathematical definition

A Supnick matrix is a square Monge array that is symmetric around the main diagonal.

An n-by-n matrix is a Supnick matrix if, for all i, j, k, l such that if

\( {\displaystyle 1\leq i<k\leq n} \) and \( {\displaystyle 1\leq j<l\leq n} \)

then

\( {\displaystyle a_{ij}+a_{kl}\leq a_{il}+a_{kj}\,} \)

and also

\( {\displaystyle a_{ij}=a_{ji}.\,} \)

A logically equivalent definition is given by Rudolf & Woeginger who in 1995 proved that

A matrix is a Supnick matrix iff it can be written as the sum of a sum matrix S and a non-negative linear combination of LL-UR block matrices.

The sum matrix is defined in terms of a sequence of n real numbers {αi}:

\( {\displaystyle S=[s_{ij}]=[\alpha _{i}+\alpha _{j}];\,} \)

and an LL-UR block matrix consists of two symmetrically placed rectangles in the lower-left and upper right corners for which aij = 1, with all the rest of the matrix elements equal to zero.
Properties

Adding two Supnick matrices together will result in a new Supnick matrix (Deineko and Woeginger 2006).

Multiplying a Supnick matrix by a non-negative real number produces a new Supnick matrix (Deineko and Woeginger 2006).

If the distance matrix in a traveling salesman problem can be written as a Supnick matrix, that particular instance of the problem admits an easy solution (even though the problem is, in general, NP hard).
References
Supnick, Fred (July 1957). "Extreme Hamiltonian Lines". Annals of Mathematics. Second Series. 66 (1): 179–201. JSTOR 1970124.
Woeginger, Gerhard J. (June 2003). "Computational Problems without Computation" (PDF). Nieuwarchief. 5 (4): 140–147.
Deineko, Vladimir G.; Woeginger, Gerhard J. (October 2006). "Some problems around travelling salesmen, dart boards, and euro-coins" (PDF). Bulletin of the European Association for Theoretical Computer Science. EATCS. 90: 43–52. ISSN 0252-9742.

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