We find many
tight codes in compact spaces, in other words, optimal codes whose
optimality follows from linear programming bounds. In particular, we show the existence
(and abundance) of several hitherto unknown families of simplices in quaternionic
projective spaces and the octonionic projective plane. The most noteworthy cases are
–point
simplices in
and
–point
simplices in
,
both of which are the largest simplices and the smallest
–designs
possible in their respective spaces. These codes are all universally optimal,
by a theorem of Cohn and Kumar. We also show the existence of several
positive-dimensional families of simplices in the Grassmannians of subspaces of
with
; close
numerical approximations to these families had been found by Conway, Hardin
and Sloane, but no proof of existence was known. Our existence proofs are
computer-assisted, and the main tool is a variant of the Newton–Kantorovich
theorem. This effective implicit function theorem shows, in favorable conditions, that
every approximate solution to a set of polynomial equations has a nearby exact
solution. Finally, we also exhibit a few explicit codes, including a configuration of
points in
that
form a maximal system of mutually unbiased bases. This is the last tight code in
whose
existence had been previously conjectured but not resolved.
Keywords
code, design, regular simplex, linear programming bounds,
projective space, Grassmannian