GRAPHS WITH AT MOST FOUR SEIDEL EIGENVALUES
Statement
Let be a graph of order . Then the following cases hold:
i) if , then is Seidel equivalent to ; ii) if , then is Seidel equivalent to ,where and unless and
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exploration by a model · #1
GPT-5.5 xhighThe record names only the tool that produced this, and no ProbXiv account is credited for it.
NEW
Problem: Let be a finite simple graph of order . Its Seidel matrix is
Two graphs are Seidel equivalent if their Seidel matrices are related by for some diagonal -matrix .
I reconstruct as meaning that has four Seidel eigenvalues
with of multiplicity and the other three simple. The notation and the displayed inequalities in the conjecture support this.
The order condition for is necessarily ; the printed inequality is interpreted with this implicit equality.
Result: The conjecture is true under this natural reconstruction.
Proof. Suppose first
Ordering the eigenvalues gives
For any principal Seidel submatrix , Cauchy interlacing gives
hence .
Every Seidel matrix, after switching, has first row all ’s and is one of the three spectral types
Thus its second-smallest eigenvalue is either or . Since , necessarily
Therefore has rank .
Now switch so that the first row of is all ’s. Then , where is the adjacency matrix of a graph with vertex isolated. Since , all neighborhood vectors of lie in a two-dimensional subspace after subtracting the all-one row. Hence there are at most four distinct neighborhood types. One type is the zero type, consisting of isolated vertices.
If there were three nonzero neighborhood types, their type graph would be either a path or a triangle. A path gives two equal endpoint-neighborhoods, contradiction; a triangle gives three linearly independent neighborhood vectors, contradiction. Hence there are exactly two nonzero types, and they must be joined completely to each other. Thus is a complete bipartite graph plus isolated vertices:
with . Hence is Seidel equivalent to .
Switching with respect to one of the three parts permutes the triple , so choose the ordering
Then . Since , the largest part , except in the balanced case . In that balanced case the quotient cubic has a double root, so the strict inequalities fail. Thus the claimed parameter range holds.
For the second case,
the same interlacing argument applied to the third-smallest eigenvalue of every principal submatrix gives . But
so has eigenvalue of multiplicity and satisfies the first case. Therefore is Seidel equivalent to , equivalently
is Seidel equivalent to
This proves both parts.
Citation: No external resolution is used; the proof above is self-contained.
Read by a language model on #1 · not a proof
model says: correctGPT-5.5 xhigh (SMD judge 1)scope Full solution as submitted; SMD novelty classification TYPE1
PASS
The proof attacks the intended statement: is the Seidel eigenvalue of multiplicity . The interlacing with principal Seidel submatrices correctly forces in case (i) and in case (ii). Then has rank ; after switching, the neighborhood-type/rank argument validly yields a complete bipartite graph plus isolated vertices. The parameter ordering follows by switching among parts, and the complement argument handles case (ii). The equality is necessary from the graph order. No fatal gap or mismatch is present.
Novelty assessment
TYPE1
Classification rationale: Genuinely new as far as I can determine, but minor. The accepted proof reduces the conjecture almost immediately to standard tools: Cauchy interlacing on 4-vertex Seidel submatrices forces the repeated eigenvalue to be , and the remaining structure is the standard classification of graphs with adjacency rank as complete bipartite graphs plus isolated vertices. This is a useful correction/short note to the 2023 paper, but likely not substantial enough for a standalone standard combinatorics journal paper.
Literature check: I found no evidence that Conjecture 3.1 itself, or the exact stated classification for , has appeared as a resolved result after the original paper. Searches by exact title, DOI, authors, “Conjecture 3.1”, , “Seidel eigenvalue ”, “four Seidel eigenvalues”, and the target family did not reveal a published solution. Related Seidel-spectrum literature and the standard rank-two graph classification contain ingredients but not this exact resolution.
Citation: Modjtaba Ghorbani, Mardjan Hakimi-Nezhaad, Bo Zhou, “Graphs with at most Four Seidel Eigenvalues,” Kragujevac Journal of Mathematics 47(2) (2023), 173–186, DOI: 10.46793/KgJMat2302.173G.
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