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Dual Polar Graphs of Hermitian Polar Spaces

Updated 20 November 2025
  • The paper establishes the algebraic and combinatorial structure of dual polar graphs with explicit eigenvalue formulas and intersection arrays derived from Hermitian geometry.
  • It employs geometric embeddings, apartment characterizations, and Terwilliger algebra decompositions to elucidate distance-regularity and metric properties.
  • The results imply significant applications in finite geometry, coding theory, and representation theory through q-polynomial association schemes and related algebraic frameworks.

A dual polar graph of a Hermitian polar space is a distance-regular graph whose vertices correspond to maximal totally isotropic subspaces (generators) of a finite-dimensional vector space VV over GF(q2)\mathrm{GF}(q^2) equipped with a nondegenerate Hermitian form. Adjacency, combinatorial invariants, metric structure, and algebraic properties of these graphs are determined by the underlying Hermitian geometry. This structure provides a paradigmatic example of a QQ-polynomial association scheme with deep connections to buildings, representation theory, and finite geometry.

1. Construction of Hermitian Dual Polar Graphs

Given V=GF(q2)nV = \mathrm{GF}(q^2)^n with nondegenerate Hermitian form hh, the Hermitian polar space H(n−1,q2)H(n-1, q^2) of rank d=⌊n/2⌋d = \lfloor n/2 \rfloor consists of all totally isotropic subspaces under hh. The set of dd-dimensional totally isotropic subspaces (generators) forms the vertex set Ω\Omega of the dual polar graph GF(q2)\mathrm{GF}(q^2)0. Two generators GF(q2)\mathrm{GF}(q^2)1 are adjacent if GF(q2)\mathrm{GF}(q^2)2.

The resulting graph GF(q2)\mathrm{GF}(q^2)3 is distance-regular of diameter GF(q2)\mathrm{GF}(q^2)4. The distance between generators GF(q2)\mathrm{GF}(q^2)5 and GF(q2)\mathrm{GF}(q^2)6 is GF(q2)\mathrm{GF}(q^2)7. The number of generators is GF(q2)\mathrm{GF}(q^2)8 for the case GF(q2)\mathrm{GF}(q^2)9 (Witt index QQ0) (Ihringer et al., 2015, Qiao et al., 2017). The intersection array and eigenvalues are explicitly determined by QQ1 and QQ2.

2. Apartments and Metric Characterization

Apartments in the dual polar graph correspond to subsets indexed by frames: sets of QQ3 points QQ4 partitioned into QQ5 pairs so that within each pair the points are not collinear but every other distinct pair is collinear. The family of maximal singular subspaces selecting one point from each pair is an apartment, combinatorially forming an QQ6-cube QQ7 as an induced subgraph (Pankov, 2010).

Pankov's metric characterization (Theorem 2) states that any isometric embedding of an QQ8-dimensional hypercube QQ9 into V=GF(q2)nV = \mathrm{GF}(q^2)^n0 arises from an apartment (possibly within a parabolic subspace corresponding to a lower-rank polar space), and any isometric copy of V=GF(q2)nV = \mathrm{GF}(q^2)^n1 is a full apartment. The classification (Theorem 3) further asserts that every isometric embedding of a smaller dual polar graph into a larger arises from embedding into a parabolic determined by a singular subspace of requisite codimension. This rigidifies the geometry: all possible cube subgraphs with isometric distances are accounted for by geometric apartments (Pankov, 2010).

3. Combinatorial and Eigenvalue Structure

The Hermitian dual polar graph V=GF(q2)nV = \mathrm{GF}(q^2)^n2 is V=GF(q2)nV = \mathrm{GF}(q^2)^n3-polynomial and distance-regular, with intersection numbers: V=GF(q2)nV = \mathrm{GF}(q^2)^n4 where V=GF(q2)nV = \mathrm{GF}(q^2)^n5. The eigenvalues are

V=GF(q2)nV = \mathrm{GF}(q^2)^n6

with multiplicities given by differences of V=GF(q2)nV = \mathrm{GF}(q^2)^n7-Gaussian coefficients (Qiao et al., 2017).

V=GF(q2)nV = \mathrm{GF}(q^2)^n8 is geometric: each edge belongs to a unique Delsarte clique of size V=GF(q2)nV = \mathrm{GF}(q^2)^n9. The smallest eigenvalue is hh0, and the graph satisfies the Krein condition with equality for a "light tail" idempotent at the minimal eigenvalue, characterizing the family among geometric hh1-bounded distance-regular graphs (Koolen et al., 2015).

4. Algebraic, Module, and Polynomial Structures

The Terwilliger (subconstituent) algebra hh2 generated by adjacency and dual adjacency matrices acting on the standard module decomposes into irreducible thin modules. On each irreducible, the restrictions of adjacency and dual adjacency satisfy the Leonard pair tridiagonal relations, with split sequences and eigenparameters matching dual hh3-Krawtchouk type (Worawannotai, 2012).

A fundamental correspondence is established with the quantum algebra hh4: hh5 is generated by two commuting hh6 actions up to its center, and the spectrum and recurrences of the adjacency operator correspond to those of dual hh7-Krawtchouk polynomials. In the Hermitian case, the generalized Terwilliger algebra with respect to base vertex and maximal clique admits a primary hh8-dimensional module which realizes a rank-one nil-DAHA of type hh9, precisely encoding the dual H(n−1,q2)H(n-1, q^2)0-Krawtchouk polynomials and their non-symmetric versions (Lee et al., 2017).

5. Clique Classification and Metric Dimension

Erdős–Ko–Rado-type theorems describe maximal H(n−1,q2)H(n-1, q^2)1-cliques in the dual polar graph: for H(n−1,q2)H(n-1, q^2)2, every maximal H(n−1,q2)H(n-1, q^2)3-clique is the set of all generators containing a fixed totally isotropic subspace of codimension H(n−1,q2)H(n-1, q^2)4 (for even H(n−1,q2)H(n-1, q^2)5) or H(n−1,q2)H(n-1, q^2)6 (for odd H(n−1,q2)H(n-1, q^2)7). The size and structure of these cliques meet the Hoffman bound with equality, and there is a complete classification for large H(n−1,q2)H(n-1, q^2)8 (Ihringer et al., 2015).

The metric dimension H(n−1,q2)H(n-1, q^2)9, or smallest resolving set, satisfies the upper bound

d=⌊n/2⌋d = \lfloor n/2 \rfloor0

where d=⌊n/2⌋d = \lfloor n/2 \rfloor1 is the base field size and d=⌊n/2⌋d = \lfloor n/2 \rfloor2 is the Witt index of the Hermitian form (Bailey et al., 2017). No matching lower bounds are known for arbitrary d=⌊n/2⌋d = \lfloor n/2 \rfloor3.

6. Characterization Theorems and Isomorphism Criteria

A detailed characterization (Qiao–Koolen) shows that under the conditions of non-bipartiteness, geometricity, diameter d=⌊n/2⌋d = \lfloor n/2 \rfloor4, d=⌊n/2⌋d = \lfloor n/2 \rfloor5, and smallest eigenvalue d=⌊n/2⌋d = \lfloor n/2 \rfloor6, the only possible distance-regular graph with parameters matching d=⌊n/2⌋d = \lfloor n/2 \rfloor7 for d=⌊n/2⌋d = \lfloor n/2 \rfloor8 and a specific relation for d=⌊n/2⌋d = \lfloor n/2 \rfloor9 is the Hermitian dual polar graph hh0. These numerical identities, together with spectral information, rigidly determine the graph's isomorphism class (Qiao et al., 2017).

The light tail condition at the minimal eigenvalue provides a characterization coinciding precisely with the Hermitian dual polar graphs among distance-regular hh1-bounded graphs with the prescribed intersection array and eigenvalue structure (Koolen et al., 2015).

7. Broader Significance and Applications

Dual polar graphs of Hermitian spaces are central objects in the theory of finite geometries, combinatorics, and algebraic graph theory. Their apartments encode the cube geometry of Tits buildings, and the combinatorial embedding structure is completely dictated by the underlying geometry. Their highly regular structure underlies the classification of geometric distance-regular graphs and is instrumental in the study of Leonard systems, hh2-polynomial association schemes, and related objects in algebraic combinatorics and representation theory (Pankov, 2010, Qiao et al., 2017, Worawannotai, 2012).

These graphs serve as fertile ground for connections to quantum algebra, representation theory (via hh3 and DAHA), and the theory of special polynomials, especially dual hh4-Krawtchouk families and their non-symmetric generalizations (Lee et al., 2017, Worawannotai, 2012). Advanced applications include metric dimension calculations, clique size bounds, and explicit control over spectral properties relevant to coding theory and extremal set theory (Bailey et al., 2017, Ihringer et al., 2015).

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