Successive minima of integral lattices #
The successive minima are squared norms, rather than lengths. With indices starting at zero,
L.successiveMinimum i is the least natural bound containing i + 1 linearly independent
lattice vectors. Indices lie in Fin (Module.finrank ℤ L), so there are no successive minima
in rank zero. Linear independence is over ℤ, equivalently over ℚ after embedding in the
ambient rational space.
The construction is defined for every integral lattice. For positive semidefinite lattices each
successive minimum is represented by a nonzero vector, the first is the ordinary minimum,
and an independent family attains all values simultaneously. The sequence is nondecreasing.
For positive definite lattices the values are positive. The characterization by independent bounded
vectors is intended for estimates and reduction theory;
it does not assert that those vectors form an integral basis. A vector independent of i vectors
whose norms are bounded by the first i successive minima has norm at least the next one; this is
the lattice-theoretic input to Minkowski's second theorem.
References #
- J. W. S. Cassels, An Introduction to the Geometry of Numbers, Chapter VIII.
- J. H. Conway and N. J. A. Sloane, Sphere Packings, Lattices and Groups, Chapter 2.
The (i + 1)-st successive minimum, measured as an integral squared norm. It is the least
natural bound containing i + 1 independent lattice vectors.
Instances For
The defining infimum of the successive minimum.
Each successive minimum contains the required number of independent bounded vectors.
A successive minimum is at most any bound containing enough independent vectors.
A natural bound reaches the successive minimum exactly when it contains enough independent lattice vectors.
Successive minima form a nondecreasing sequence.
The first successive minimum of a positive semidefinite lattice is its ordinary minimum.
At the next successive minimum there is a bounded vector outside the rational span of any family of fewer vectors.
In a positive semidefinite lattice, let x₀, …, x_{i-1} be lattice vectors of norms at most
the corresponding successive minima. Every vector z for which x₀, …, x_{i-1}, z are linearly
independent has norm at least the next successive minimum λᵢ. For a family attaining the
successive minima, this bounds below every vector outside the span of its first i members.
Greedy construction of m independent vectors realising the first m successive minima,
each at most every vector outside the span of the chosen ones.
A positive semidefinite lattice admits independent vectors attaining all successive minima simultaneously. These vectors are not asserted to be an integral basis.
Every successive minimum of a positive semidefinite lattice is the norm of a nonzero vector. This asserts attainment as a squared norm, rather than merely existence of a bounding infimum.
Successive minima of a positive definite lattice are positive.
The successive minimum is invariant under isometry; indices are transported by equality of carrier ranks.