Bose–Mesner algebra
In mathematics, a Bose–Mesner algebra is a special set of matrices which arise from a combinatorial structure known as an association scheme, together with the usual set of rules for combining (forming the products of) those matrices, such that they form an associative algebra, or, more precisely, a unitary commutative algebra. Among these rules are:
- the result of a product is also within the set of matrices,
- there is an identity matrix in the set, and
- taking products is commutative.
Bose–Mesner algebras have applications in physics to spin models, and in statistics to the design of experiments. They are named for R. C. Bose and Dale Marsh Mesner.[1]
Definition[]
Let X be a set of v elements. Consider a partition of the 2-element subsets of X into n non-empty subsets, R1, ..., Rn such that:
- given an , the number of such that depends only on i (and not on x). This number will be denoted by vi, and
- given with , the number of such that and depends only on i,j and k (and not on x and y). This number will be denoted by .
This structure is enhanced by adding all pairs of repeated elements of X and collecting them in a subset R0. This enhancement permits the parameters i, j, and k to take on the value of zero, and lets some of x,y or z be equal.
A set with such an enhanced partition is called an association scheme.[2] One may view an association scheme as a partition of the edges of a complete graph (with vertex set X) into n classes, often thought of as color classes. In this representation, there is a loop at each vertex and all the loops receive the same 0th color.
The association scheme can also be represented algebraically. Consider the matrices Di defined by:
Let be the vector space consisting of all matrices , with complex.[3][4]
The definition of an association scheme is equivalent to saying that the are v × v (0,1)-matrices which satisfy
- is symmetric,
- (the all-ones matrix),
The (x,y)-th entry of the left side of 4. is the number of two colored paths of length two joining x and y (using "colors" i and j) in the graph. Note that the rows and columns of contain 1s:
From 1., these matrices are symmetric. From 2., are linearly independent, and the dimension of is . From 4., is closed under multiplication, and multiplication is always associative. This associative commutative algebra is called the Bose–Mesner algebra of the association scheme. Since the matrices in are symmetric and commute with each other, they can be simultaneously diagonalized. This means that there is a matrix such that to each there is a diagonal matrix with . This means that is semi-simple and has a unique basis of primitive idempotents . These are complex n × n matrices satisfying
The Bose–Mesner algebra has two distinguished bases: the basis consisting of the adjacency matrices , and the basis consisting of the irreducible idempotent matrices . By definition, there exist well-defined complex numbers such that
and
The p-numbers , and the q-numbers , play a prominent role in the theory.[5] They satisfy well-defined orthogonality relations. The p-numbers are the eigenvalues of the adjacency matrix .
Theorem[]
The eigenvalues of and , satisfy the orthogonality conditions:
Also
In matrix notation, these are
where
Proof of theorem[]
The eigenvalues of are with multiplicities . This implies that
which proves Equation and Equation ,
which gives Equations , and .
There is an analogy between extensions of association schemes and extensions of finite fields. The cases we are most interested in are those where the extended schemes are defined on the -th Cartesian power of a set on which a basic association scheme is defined. A first association scheme defined on is called the -th Kronecker power of . Next the extension is defined on the same set by gathering classes of . The Kronecker power corresponds to the polynomial ring first defined on a field , while the extension scheme corresponds to the extension field obtained as a quotient. An example of such an extended scheme is the Hamming scheme.
Association schemes may be merged, but merging them leads to non-symmetric association schemes, whereas all usual codes are subgroups in symmetric Abelian schemes.[6][7][8]
See also[]
![]() | This article includes a list of general references, but it lacks sufficient corresponding inline citations. (September 2010) |
Notes[]
- ^ Bose & Mesner (1959)
- ^ Cameron & van Lint 1991, pp.197–198
- ^ Camion 1998
- ^ Delsarte & Levenshtein 1998
- ^ Camion 1998
- ^ Delsarte & Levenshtein 1998
- ^ Camion 1998
- ^ MacWilliams & Sloane 1978
References[]
- Bailey, Rosemary A. (2004), Association schemes: Designed experiments, algebra and combinatorics, Cambridge Studies in Advanced Mathematics, vol. 84, Cambridge University Press, p. 387, ISBN 978-0-521-82446-0, MR 2047311
- Bannai, Eiichi; Ito, Tatsuro (1984), Algebraic combinatorics I: Association schemes, Menlo Park, CA: The Benjamin/Cummings Publishing Co., Inc., pp. xxiv+425, ISBN 0-8053-0490-8, MR 0882540
- Bannai, Etsuko (2001), "Bose–Mesner algebras associated with four-weight spin models", Graphs and Combinatorics, 17 (4): 589–598, doi:10.1007/PL00007251, S2CID 41255028
- Bose, R. C.; Mesner, D. M. (1959), "On linear associative algebras corresponding to association schemes of partially balanced designs", Annals of Mathematical Statistics, 30 (1): 21–38, doi:10.1214/aoms/1177706356, JSTOR 2237117, MR 0102157
- Cameron, P. J.; van Lint, J. H. (1991), Designs, Graphs, Codes and their Links, Cambridge: Cambridge University Press, ISBN 0-521-42385-6
- (1998), "Codes and association schemes: Basic properties of association schemes relevant to coding", in Pless, V. S.; Huffman, W. C. (eds.), Handbook of coding theory, The Netherlands: Elsevier
- Delsarte, P.; Levenshtein, V. I. (1998), "Association schemes and coding theory", IEEE Transactions on Information Theory, 44 (6): 2477–2504, doi:10.1109/18.720545
- MacWilliams, F. J.; Sloane, N. J. A. (1978), The theory of error-correcting codes, New York: Elsevier
- Nomura, K. (1997), "An algebra associated with a spin model", Journal of Algebraic Combinatorics, 6 (1): 53–58, doi:10.1023/A:1008644201287
- Algebraic combinatorics
- Design of experiments
- Analysis of variance
- Representation theory
- Algebra