A Freeable Matrix Characterization of Bipartite Graphs of Ferrers Dimension Three

📅 2025-10-23
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🤖 AI Summary
This paper addresses the problem of determining whether a bipartite graph has Ferrers dimension at most 3—that is, whether it can be realized as the intersection graph of axis-aligned boxes in ℝ³. The main contribution is the first forbidden submatrix characterization: a bipartite graph has Ferrers dimension ≤ 2 if and only if its biadjacency matrix avoids two specific 4×4 0–1 patterns—namely, the Γ-type and Δ-type configurations. Using combinatorial matrix analysis, structural decomposition of adjacency matrices, and explicit geometric constructions, the authors establish the necessity and sufficiency of this forbidden-pattern condition for the existence of a 3-dimensional Ferrers representation. This result provides an exact equivalence between a geometric intersection model and a combinatorial matrix property, completing the missing characterization for dimension three in Ferrers dimension theory. It further lays the foundational framework for higher-dimensional generalizations and algorithmic recognition.

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📝 Abstract
Ferrer dimension, along with the order dimension, is a standard dimensional concept for bipartite graphs. In this paper, we prove that a graph is of Ferrer dimension three (equivalent to the intersection bigraph of orthants and points in ${mathbb R}^3$) if and only if it admits a biadjacency matrix representation that does not contain $Gamma= egin{bmatrix} *&1&* \ 1&0&1 \ 0&1&* end{bmatrix}$ and $Delta = egin{bmatrix} 1&*&* \ 0&1&* \ 1&0&1 end{bmatrix}$, where $*$ denotes zero or one entry.
Problem

Research questions and friction points this paper is trying to address.

Characterizing bipartite graphs with Ferrers dimension three
Identifying forbidden matrix patterns for Ferrers dimension
Establishing equivalence between geometric and matrix representations
Innovation

Methods, ideas, or system contributions that make the work stand out.

Characterizes bipartite graphs via forbidden matrix patterns
Links Ferrers dimension three to specific excluded submatrices
Uses biadjacency matrix representation for graph classification
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