Characteristic vectors of integral lattices #
A lattice vector is characteristic when pairing it with any lattice vector agrees modulo two with the latter's norm. This parity condition is the input to the characteristic-norm congruence for unimodular lattices. The results here give its behavior under evenness, isometries, translation by twice a vector, and orthogonal sums.
The congruences are in ℤ, using the integral restriction of the rational bilinear form, so the
characteristic vectors of a lattice are those of that integral form in the sense of
LinearMap.BilinForm.IsCharacteristic.
References #
- J. Milnor and D. Husemoller, Symmetric Bilinear Forms, Appendix 4.
A vector is characteristic when its pairing with every lattice vector is congruent modulo two to that vector's norm.
Instances For
The defining parity test for a characteristic vector.
The characteristic condition says that pairing with the vector represents norm parity.
The characteristic vectors of L are the characteristic vectors of its integral bilinear
form.
Zero is characteristic precisely when the lattice is even.
Adding twice a lattice vector preserves the characteristic parity condition.
Translation by twice a lattice vector preserves and reflects the characteristic condition.
A characteristic vector remains characteristic after changing its sign.
Negation preserves and reflects the characteristic condition.
The pairing of the difference of two characteristic vectors with every lattice vector is even.
Isometries preserve and reflect characteristic vectors.
A vector of an orthogonal sum is characteristic precisely when its two components are.
Translating a characteristic vector by twice a lattice vector changes its norm by a multiple of eight.