Solving a Sudoku puzzle involves putting the symbols 1, . . . , 9 into the cells of a 9 × 9 grid partitioned into 3 × 3 subsquares, in such a way that each symbol occurs just once in each row, column, or subsquare. Such a solution is a special case of a gerechte design, in which an n×n grid is partitioned into n regions with n squares in each, and each of the symbols 1, . . . , n occurs once in each row, column, or region. Gerechte designs originated in statistical design of agricultural experiments, where they ensure that treatments are fairly exposed to localised variations in the field containing the experimental plots. In this paper we consider several related topics. In the first section, we define gerechte designs and some generalizations, and explain a computational technique for finding and classifying them. The second section looks at the statistical background, explaining how such designs are used for designing agricultural experiments, and what additional properties statisticians would like them to have. In the third section, we focus on a special class of Sudoku solutions which we call "symmetric". They turn out to be related to some important topics in finite geometry over the 3-element field, and to *
In REF Sudoku is considered as a special case of Gerechte designs and they introduce some interesting mathematical problems about them.
Sudoku, gerechte designs, resolutions, affine space, spreads, reguli, and Hamming codes
Amer. Math. Monthly
Mathematics Computer Science