A Large Family of Maximum Scattered Linear Sets of PG(1, q^n) and Their Associated MRD Codes 1: For q Odd, t ≥ 3, h ∉ 𝔽_{q^t} and h^(q^t+1) = −1, ψ_{h,t} Is Scattered over 𝔽_{q^{2t}}Research Paper
Motivation
A linear set of a projective space over a finite field is the set of points spanned by the nonzero vectors of a subspace over a subfield. They have been used to construct and characterize semifields, rank-metric codes, translation spreads, translation ovoids, two-intersection sets and the blocking sets for which Lunardon introduced them (Polverino 2010; Lavrauw–Van de Voorde 2015). On the projective line the extremal objects, the maximum scattered linear sets, are equivalent to scattered polynomials over , and each scattered polynomial gives an -linear maximum rank-distance (MRD) code of minimum distance (Sheekey 2016). Rank-distance codes are studied in network coding theory (p. 2).
Scattered polynomials are scarce. Before this paper, only three families were known for infinitely many :
- 2000. The monomials with (pseudoregulus type). Blokhuis and Lavrauw (2000) proved that a scattered linear set of has rank at most .
- 2001, 2016. The binomials with (Lunardon–Polverino 2001, Sheekey 2016).
- 2021. For odd and , the polynomial and its variants (Longobardi–Zanella 2021).
- 2018–2020. Further families exist only for (Csajbók–Marino–Polverino–Zanella 2018; Csajbók–Marino–Zullo 2018; Bartoli–Zanella–Zullo 2020). Asymptotic classification results suggest that scattered polynomials are rare (Bartoli–Zhou 2018).
Longobardi, Marino, Trombetti and Zhou construct a fourth family, defined for every even and odd . This mission formalizes that construction, Theorem 3.1 of the paper.
Setting
Let be an odd prime, , , and . Let be the finite field of order . For , write for its subfield of order , the set of with .
A -polynomial over is a map with . It is -linear. Its graph is an -dimensional -subspace of , and it defines the linear set of .
The polynomial is scattered when, for all ,
Equivalently, has the maximum size .
Fix with . The paper's polynomial is
The proof splits it as with
and it also uses the -linear maps and . The Lean development uses the same letters: psi, Lmap, Mmap, Rmap, Tmap, IsScatteredPoly, qpoly, graph.
Formalization targets
Goal: Theorem 3.1
For odd, , , and every with ,
Milestones
- The equivalence of three conditions (§1, p. 2): is scattered; is scattered; and with forces .
- Proposition 3.2: implies and .
- and are -semilinear (p. 7).
- The kernels of and , displays (4)–(5), are 1-dimensional -subspaces.
- The images of and , displays (6)–(7), are 1-dimensional -subspaces.
- Proposition 3.3: .
- and (p. 8).
- Lemma 3.4: the -bases , and the change of components (9).
- Proposition 3.5: .
- Proposition 3.6: .
Significance
The result. Theorem 3.1 produces, for every odd and even , maximum scattered linear sets of and MRD codes of with minimum distance . For the polynomials are those of Bartoli, Zanella and Zullo. If were allowed in , then and would reduce to the Longobardi–Zanella polynomials (p. 6). The second half of the paper (Theorem 5.1, a companion mission) shows that for the family contains a number of -inequivalent members that grows exponentially in . Every previously known family contributes fewer than classes.
Formalizing it. The theorem has a complete published proof. No scattered polynomial, linear set of the projective line or linearized-polynomial kernel computation is formalized on the platform, and none appears in Mathlib. The work is to formalize the paper's proof: the semilinear-algebra lemmas of §3 and the case analysis that follows them. The milestones are reusable statements about -polynomials of seen as an -plane.
Difficulty
Writing out coefficient by coefficient gives a system in and with exponents that does not separate directly. The paper's route goes through two -direct-sum decompositions of and two changes of -basis. Each identity involves negative powers of and holds only through and the parity of . The hypothesis enters only at the end, and a formalization must carry the arithmetic of the exponent towers modulo throughout. The tempting shortcut, checking the statement on a few small fields, proves nothing: the theorem is uniform in and .
Formalization scope
- Field. is a finite field with
CharP F p,pprime,Odd p, with (an explicitqwithhq : q = p ^ r), andFintype.card F = q ^ (2 * t). So is up to isomorphism, and no particular model is chosen. - Subfields. and are the fixed fields of and , taken from the published definition
ScatCaps.LinearSets.subfieldOf F p r m. - Scattered. "Scattered" is the literal definition of p. 2, with ranging over all of . The scattered-linear-set side of milestone 1 uses the published weight-one predicate
ScatCaps.LinearSets.IsScattered, which is equivalent to the cardinality definition of p. 1. - Powers of . A negative or difference power of is written as a field quotient, e.g. as
h / h ^ q ^ (t+1). This is exact because forces . Natural-number subtractions in exponents (, , ) are exact in the stated ranges. - Linear-algebra encodings. "1-dimensional -subspace" means closed under addition and -scalars, containing , and of cardinality (published
IsFqSubspace,HasRank). A direct sum is stated as unique decomposition, and an -basis as unique representation with . - Pinned readings. (1) The standing hypotheses of §3 ( odd, , , ) are carried into every §3 lemma, even where its printed statement omits them. is added only to Theorem 3.1, because the lemmas do not use it. (2) Proposition 3.2 is printed with and without " odd". " odd" is added (its proof uses it, and even gives a counterexample), and is read as , which is equal to it for and defined at .
- Ruling out trivial versions. A formalization in which is the whole field (every map is then "scattered"), in which or range only over a subfield, or in which is a truncated natural-number power, would not state the theorem. The statements here quantify over all of and conclude membership in the fixed field of .
- Infrastructure. A complete development needs: Frobenius iterates on finite fields, fixed fields and their cardinalities, kernels and images of -semilinear maps of , and the solution count of . These are reusable well beyond this mission. Proofs of any milestone, and alternative arguments, are welcome.
Selected references
- G. Longobardi, G. Marino, R. Trombetti, Y. Zhou, A large family of maximum scattered linear sets of PG(1, q^n) and their associated MRD codes, arXiv:2102.08287v3, 2021 (Combinatorica 43, 2023). https://arxiv.org/abs/2102.08287v3
- A. Blokhuis, M. Lavrauw, Scattered spaces with respect to a spread in PG(n, q), Geometriae Dedicata 81, 2000.
- G. Lunardon, O. Polverino, Blocking sets and derivable partial spreads, J. Algebraic Combin. 14, 2001.
- J. Sheekey, A new family of linear maximum rank distance codes, Adv. Math. Commun. 10(3), 2016.
- G. Longobardi, C. Zanella, Linear sets and MRD-codes arising from a class of scattered linearized polynomials, J. Algebraic Combin., 2021. https://doi.org/10.1007/s10801-020-01011-9
- D. Bartoli, C. Zanella, F. Zullo, A new family of maximum scattered linear sets in PG(1, q^6), Ars Math. Contemp. 19(1), 2020.
- B. Csajbók, G. Marino, O. Polverino, C. Zanella, A new family of MRD-codes, Linear Algebra Appl. 548, 2018.
- B. Csajbók, G. Marino, F. Zullo, New maximum scattered linear sets of the projective line, Finite Fields Appl. 54, 2018.
- D. Bartoli, Y. Zhou, Exceptional scattered polynomials, J. Algebra 509, 2018.
- M. Lavrauw, G. Van de Voorde, Field reduction and linear sets in finite geometry, Contemp. Math. 632, AMS, 2015, pp. 271–293.
- O. Polverino, Linear sets in finite projective spaces, Discrete Math. (22): 3096–3107, 2010.