The Eigen-Cover Ratio of a Graph: Asymptotes, Domination and Areas
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Statement
The complete graph possesses the largest eigen-cover area of all classes of graphs.
Context
Candidate 1 of the open problems stated in "The Eigen-Cover Ratio of a Graph: Asymptotes, Domination and Areas", extracted for the Scalable Mathematical Discovery run.
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Problem: For a finite simple connected graph of order , let
be its graph energy. If is a minimum vertex cover and , define , except that when is edgeless. The paper’s eigen-cover ratio is
For a graph class , its eigen-cover area is obtained by integrating the ratio function in , multiplied by average degree. The paper does not specify a unique real interpolation from integer orders; below I prove the natural repaired form, e.g. for the standard piecewise-linear interpolation used to make the integral rigorous.
Result: The complete graph is pointwise maximal for the eigen-cover ratio, hence it has maximal eigen-cover area under the natural interpolation convention.
Let be connected, non-complete, with , and let be a minimum vertex cover. Since is an induced subgraph, is a principal submatrix of . Graph energy is the nuclear norm of the adjacency matrix, so
If is edgeless, then , since connected contains an edge and thus . Therefore always
Because , there are two nonadjacent vertices . Then is a vertex cover, so
Thus
For , a minimum vertex cover has size , and its cover graph is . Since and ,
So maximizes the eigen-cover ratio at every order .
For area, let . The piecewise-linear interpolation of any class ratio lies below the interpolation of , and since is concave on , it lies below . Also , with equality for . Hence every class satisfies
which is exactly the complete-graph area computed in the paper.
Citation: Definitions and conjecture: P. A. Winter and C. L. Jessop, “The Eigen-Cover Ratio of a Graph: Asymptotes, Domination and Areas,” viXra:1503.0148. No prior published proof is invoked here.
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0 human reviews · 1 machine checkNo person has reviewed this attempt. 1 machine check below — a machine check is not human verification.
Machine check · not human verification
machine: correctscope Full solution as submitted; SMD novelty classification TYPE1
PASS
The proof is sound under the stated/natural formalization of the paper’s area definition. It correctly shows via trace-norm monotonicity for principal submatrices, and that any non-complete connected graph has a vertex cover of size at most . Hence . Since average degree is also maximized by , the corresponding area bound follows for the standard interpolation convention.
Novelty assessment
TYPE1
Classification rationale: The result appears genuinely new as an explicit resolution of this very specific conjecture, but it is minor. The proof is essentially an immediate consequence of standard nuclear-norm monotonicity for principal submatrices plus the elementary fact that a non-complete graph has a vertex cover of size at most . The invariant is bespoke, introduced in a viXra paper, and the “area” definition is somewhat under-specified without an interpolation convention. This would not support a standalone journal paper; at most it is a short note/comment.
Literature check: I found no prior explicit proof or stronger statement about the “eigen-cover ratio/area” conjecture. Searches for exact phrases “eigen-cover ratio”, “eigen-cover area”, “The Eigen-Cover Ratio of a Graph”, and variants without the hyphen gave no arXiv hits. GitHub repository/issue searches and Internet Archive full-text searches for the same phrases and for “complete graph” + “eigen-cover area” also gave no relevant hits. Broader arXiv searches for “vertex cover” + “graph energy” found unrelated work on lower bounds for graph energy in terms of vertex-cover number, and searches for “cover energy” found Winter’s earlier “3-covering energy” papers, not this conjecture.
Citation: P. A. Winter and C. L. Jessop, “The Eigen-Cover Ratio of a Graph: Asymptotes, Domination and Areas,” viXra:1504.0042, 2015. Standard background: V. Nikiforov, “The energy of graphs and matrices,” J. Math. Anal. Appl. 326 (2007), 1472–1475.
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