Paley Graphs: Algebraic and Spectral Insights
- Paley graphs are finite graphs constructed over finite fields where vertices represent field elements and edges exist if their difference is a quadratic residue.
- They are strongly regular and quasi-random, with explicit spectral properties that bridge arithmetic and combinatorial graph theory.
- Their unique structure supports applications in coding theory, extremal combinatorics, and enables advanced SDP relaxations for bounding clique numbers.
A Paley graph is a fundamental object in algebraic combinatorics, defined over a finite field of odd characteristic, in which adjacency encodes quadratic residue structure. These graphs integrate arithmetic, algebraic, and spectral properties, serving as archetypes for strongly regular and quasi-random graphs, and they catalyze connections to coding theory, extremal combinatorics, spectral graph theory, and arithmetic Ramsey theory.
1. Definition and Construction
Let be a prime power with , and let denote the finite field of order . Define the subgroup of nonzero quadratic residues,
The Paley graph has vertex set , with two distinct vertices adjacent if and only if . The adjacency relation is symmetric, because is a square in 0 when 1.
- 2 is an undirected, loopless, 3-regular graph.
- 4 is self-complementary, as for any quadratic nonresidue 5, the map 6 is an automorphism exchanging edges and non-edges (Elsawy, 2012, Jones, 2017).
- 7 is a strongly regular graph with parameters:
8
where 9 and 0 count common neighbors for adjacent and non-adjacent pairs, respectively (Elsawy, 2012, Kim et al., 2024).
2. Spectral and Quasi-Random Properties
Let 1 be the adjacency matrix of 2. The spectrum is explicit:
- Eigenvalues:
3
both with multiplicity 4 (Mináč et al., 2022, Jones, 2017, Kim et al., 2024).
- 5.
By Chung–Graham–Wilson (Kim et al., 2024), a sequence of graphs with edge-density 6 is quasi-random if the edge distribution in each induced subgraph matches that of a random (density-7) graph to within 8. The expander-mixing lemma shows that Paley graphs 9 meet these criteria:
0
for all 1, and the second-largest eigenvalue is 2, so 3 is a standard example of a quasi-random graph.
3. Automorphism Group and Symmetries
The full automorphism group of 4 is
5
a semidirect product 6 (Jones, 2017). The action is vertex- and edge-transitive; every affine map with square multiplier is a graph automorphism.
7 is self-complementary via multiplication by any quadratic nonresidue.
4. Extremal Subgraph Structure and SDP Bounds
Clique and independence numbers: By classic Fourier methods and subsequent quasi-random analysis, for 8,
9
where 0 is the clique number and 1 the independence number (Kim et al., 2024).
SDP relaxations: The clique number satisfies the classical upper bound 2 (Kobzar et al., 2023), with recent computational evidence (block-diagonal SDP relaxations, such as 3 and SOS-4) indicating actual growth may be sub-4: numerically, 5 (Kobzar et al., 2023).
- The Lovász 6 function equals 7 and coincides with the value at the first level of the exact subgraph hierarchy (ESH).
- The ESH remains at the Lovász bound up to level 8; the local ESH, exploiting vertex-transitivity, gives strictly improved upper bounds already at low levels and is at least as tight as ESH (Gaar et al., 2024).
Table: Numerical Comparison for Small 9 (Gaar et al., 2024) | 0 | 1 | 2 | 3 | 4 | |-----|--------------|------------------|------------|-------------| | 13 | 3 | 3.6056 | 3.6056 | 3.0000 | | 29 | 4 | 5.3852 | 5.3852 | 4.3177 |
5. Extremal and Combinatorial Properties
- Pancyclicity: For 5, 6, 7 is pancyclic: it contains cycles of every possible length 8 (Nishimura, 2023).
- Subgraph enumeration: For the number of triangles and 4-cliques, explicit formulas in terms of Jacobi sums are known. For 9,
0
where 1 with 2, 3 even (Dawsey et al., 2020).
- Even induced subgraphs: The number of even induced subgraphs of Paley graphs matches that in random models for small sizes; the parity structure corresponds to the enumeration of MDS self-dual codes (Li et al., 22 Dec 2025).
6. Generalizations of Paley Graphs
The Paley construction motivates several generalizations:
- Generalized Paley graphs: For 4 dividing 5 (and 6 when 7 odd), define adjacency via 8-th power residues:
9
Regular of degree 0, often not strongly regular for 1 (Elsawy, 2012, Schneider et al., 2013, Bonini et al., 2024).
- Automorphism group: For large 2 relative to 3, 4 (Ponomarenko, 23 Nov 2025).
- Paley graphs in characteristic 5: A distinct construction exists, using the trace map and Möbius transformations, resulting in a self-complementary, vertex-transitive pseudo-random graph on 6 points for 7 (Thomason, 2015).
- Paley graphs over 8: With 9 restricted to ensure 0 is a square in the unit group, a version exists for rings, where the underlying group is 1 and adjacency is defined by units that are squares modulo 2 (Bhowmik et al., 2020).
7. Applications and Structural Invariants
- Random models: The multiplicative random-graph model more faithfully captures the clique-number fluctuations of Paley graphs than purely random Cayley graphs, matching the Graham–Ringrose phenomenon for cliques of size 3 (Mrazović, 2016).
- Coding theory: There is a tight connection between even/odd subgraph structure in Paley graphs and the existence and enumeration of MDS self-dual (extended) GRS codes (Li et al., 22 Dec 2025).
- Critical group / Smith normal form: The critical (sandpile) group and Smith group of the adjacency matrix for 4 are described explicitly in terms of the field order; the primary decomposition involves detailed number-theoretic and character-sum data (Chandler et al., 2014).
8. Infinite and Arithmetic Variants
- Infinite Paley graphs: The direct limits of Paley graphs over towers of extensions yield, up to isomorphism, the universal Erdős–Rényi–Rado random graph 5 for any (locally finite, infinite) field of odd characteristic. This is established via the extension property and Weil’s character sum estimates (Jones, 2019).
- Ramanujan and energy properties: The spectrum of Paley and generalized Paley graphs provides explicit classes of Ramanujan graphs and infinite families of non-strongly regular, non-bipartite graphs which are equienergetic with their complements (Mináč et al., 2022, Podestá et al., 2022).
References:
- (Kim et al., 2024): "Paley-like quasi-random graphs arising from polynomials"
- (Mináč et al., 2022): "On the Paley graph of a quadratic character"
- (Nishimura, 2023): "A new approach to pancyclicity of Paley graphs I"
- (Jones, 2017): "Paley and the Paley graphs"
- (Elsawy, 2012): "Paley Graphs and Their Generalizations"
- (Chandler et al., 2014): "The Smith and critical groups of Paley graphs"
- (Schneider et al., 2013): "Cliques and colorings in generalized Paley graphs and an approach to synchronization"
- (Bonini et al., 2024): "Condensed Ricci Curvature on Paley Graphs and their Generalizations"
- (Thomason, 2015): "A Paley-like graph in characteristic two"
- (Dawsey et al., 2020): "Generalized Paley graphs and their complete subgraphs of orders three and four"
- (Li et al., 22 Dec 2025): "On induced subgraphs with degree parity conditions in Paley graphs and Paley tournaments"
- (Bhowmik et al., 2020): "On a Paley-type graph on 6"
- (Kobzar et al., 2023): "Revisiting Block-Diagonal SDP Relaxations for the Clique Number of the Paley Graphs"
- (Gaar et al., 2024): "The exact subgraph hierarchy and its local variant for the stable set problem for Paley graphs"
- (Ponomarenko, 23 Nov 2025): "The automorphism groups and identification of some Generalized Paley Graphs"
- (Podestá et al., 2022): "Generalized Paley graphs equienergetic with their complements"
- (Mrazović, 2016): "A random model for the Paley graph"
- (Jones, 2019): "Infinite Paley graphs"