Excluding a Line Minor via Design Matrices and Column Number Bounds for the Circuit Imbalance Measure
Daniel Dadush, Friedrich Eisenbrand, Rom Pinchasi, Thomas Rothvoss, Neta Singer

TL;DR
This paper establishes a polynomial upper bound on the number of columns in a real matrix with a bounded circuit imbalance measure, generalizing previous integer matrix bounds and utilizing matroid minor theory.
Contribution
It introduces the first polynomial bound for real matrices based on the circuit imbalance measure, extending prior integer matrix results and employing matroid minor exclusion techniques.
Findings
Bound n ≤ O(d^4 κ_A) for matrices with circuit imbalance κ_A
Real representable matroids excluding a line of length l have at most O(d^4 l) elements
The result generalizes previous bounds for integer matrices to real matrices
Abstract
For a real matrix with non-collinear columns, we show that where is the \emph{circuit imbalance measure} of . The circuit imbalance measure is a real analogue of -modularity for integer matrices, satisfying for integer . The circuit imbalance measure has numerous applications in the context of linear programming (see Ekbatani, Natura and V{\'e}gh (2022) for a survey). Our result generalizes the bound of Averkov and Schymura (2023) for integer matrices and provides the first polynomial bound holding for all parameter ranges on real matrices. To derive our result, similar to the strategy of Geelen, Nelson and Walsh (2021) for -modular matrices, we show that real representable matroids induced by -bounded matrices are minor closed and…
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Taxonomy
TopicsComplexity and Algorithms in Graphs · Advanced Optimization Algorithms Research · Sparse and Compressive Sensing Techniques
