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The process of finding a reduced set of basis vectors for a given lattice having certain special properties. Lattice reduction
algorithms are used in a number of modern number theoretical applications, including
in the discovery of a spigot algorithm
for pi. Although determining the shortest
basis is possibly an NP-complete
problem, algorithms such as the LLL
algorithm can find a short basis in polynomial time with guaranteed worst-case
performance.
The LLL algorithm of lattice reduction is implemented in Mathematica
using the function LatticeReduce. RootApproximant[x, n also calls this routine
in order to find a algebraic number
of degree at most such that is an approximate
zero of the number.
When used to find integer relations, a typical input to the algorithm consists of an augmented identity matrix with the entries in the last column consisting
of the elements (multiplied by a large positive
constant to penalize vectors that do not sum to
zero) between which the relation is sought. For example, if an equality of the form
is known to exist, then doing a lattice reduction on the matrix
will produce a new matrix in which one or more entries in the last column being close to zero. This row then gives the coefficients
of the identity. An example lattice reduction calculation is illustrated in both
Borwein and Corless (1999) and Borwein and Lisonek (2000).
Borwein, J. M. and Corless, R. M. "Emerging Tools for Experimental
Mathematics." Amer. Math. Monthly 106, 899-909, 1999.
Borwein, J. M. and Lisonek, P. "Applications of Integer Relation Algorithms."
Disc. Math. 217, 65-82, 2000.
Cohen, H. A Course in Computational Algebraic Number Theory. New
York: Springer-Verlag, 1993.
Coster, M. J.; Joux, A.; LaMacchia, B. A.; Odlyzko, A. M.; Schnorr, C. P.; and Stern, J. "Improved Low-Density Subset Sum Algorithms."
Comput. Complex. 2, 111-128, 1992.
Hastad, J.; Just, B.; Lagarias, J. C.; and Schnorr, C. P. "Polynomial Time Algorithms for Finding Integer Relations Among Real Numbers." SIAM J.
Comput. 18, 859-881, 1988.
Lagarias, J. C.; Lenstra, H. W. Jr.; and Schnorr, C. P. "Korkin-Zolotarev Bases and Successive Minima of a Lattice and Its Reciprocal Lattice." Combinatorica 10,
333-348, 1990.
Schnorr, C. P. "A More Efficient Algorithm for Lattice Basis Reduction."
J. Algorithms 9, 47-62, 1988.
Schnorr, C. P. and Euchner, M. "Lattice Basis Reduction: Improved Practical Algorithms and Solving Subset Sum Problems." In Fundamentals of Computation Theory: Proceedings of the 8th International
Conference, Fct '91 Gosen, Germany, September 9-13, 1991. Berlin: Springer-Verlag,
pp. 68-85, 1991.
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