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Monge ArrayMonge arrays, or Monge matrices, are mathematical objects used primarily in computer science. They are named for their discoverer, the French mathematician Gaspard Monge. An m-by-n matrix is said to be a Monge array if, for all i, j, k, l such that - and
one obtains - .
So whenever we pick two rows and two columns of a Monge array and consider the four elements at the intersection points, the sum of the upper-left and lower right elements is less than or equal to the sum of the lower-left and upper-right elements. This matrix is a Monge array: -
\begin{bmatrix} 10 & 17 & 13 & 28 & 23 \\ 17 & 22 & 16 & 29 & 23 \\ 24 & 28 & 22 & 34 & 24 \\ 11 & 13 & 6 & 17 & 7 \\ 45 & 44 & 32 & 37 & 23 \\ 36 & 33 & 19 & 21 & 6 \\ 75 & 66 & 51 & 53 & 34 \end{bmatrix} For example, take the intersection of rows 2 and 4 with columns 1 and 5. The four elements are: -
\begin{bmatrix} 17 & 23\\ 11 & 7 \end{bmatrix} 17 + 7 = 24 23 + 11 = 34 It holds that the sum of the upper-left and lower right elements is less than or equal to the sum of the lower-left and upper-right elements. Properties - The above definition is equivalent to the statement
- A matrix is a Monge array if and only if for all and .
- Any subarray produced by selecting certain rows and columns from an original Monge array will itself be a Monge array.
- One interesting property of Monge arrays is that if you mark with a circle the leftmost minimum of each row, you will discover that your circles march downward to the right; that is to say, if , then for all . Symmetrically, if you mark the uppermost minimum of each column, your circles will march rightwards and downwards. The row and column maxima march in the opposite direction: upwards to the right and downwards to the left.
- The notion of weak Monge arrays has been proposed; a weak Monge array is a square n-by-n matrix which satisfies the Monge property only for all .
Applications - A square Monge matrix which is also symmetric about its main diagonal is called a Supnick matrix (after Fred Supnick); this kind of matrix has applications to the traveling salesman problem (namely, that the problem admits of easy solutions when the distance matrix can be written as a Supnick matrix). Note that any linear combination of Supnick matrices is itself a Supnick matrix.
See also *quasi-convex
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