Retaining positive definiteness in thresholded matrices
Dominique Guillot, Bala Rajaratnam

TL;DR
This paper investigates the conditions under which thresholding positive definite matrices preserves their positive definiteness, revealing that only certain graph structures and matrix classes maintain this property.
Contribution
It provides a rigorous algebraic characterization of when thresholded matrices remain positive definite, especially focusing on graph structures and matrix classes.
Findings
Positive definiteness is preserved only for graphs with disconnected complete components.
Diagonal dominance is not sufficient for preserving positive definiteness after thresholding.
Complex algebraic conditions govern the preservation of positive definiteness in thresholded matrices.
Abstract
Positive definite (p.d.) matrices arise naturally in many areas within mathematics and also feature extensively in scientific applications. In modern high-dimensional applications, a common approach to finding sparse positive definite matrices is to threshold their small off-diagonal elements. This thresholding, sometimes referred to as hard-thresholding, sets small elements to zero. Thresholding has the attractive property that the resulting matrices are sparse, and are thus easier to interpret and work with. In many applications, it is often required, and thus implicitly assumed, that thresholded matrices retain positive definiteness. In this paper we formally investigate the algebraic properties of p.d. matrices which are thresholded. We demonstrate that for positive definiteness to be preserved, the pattern of elements to be set to zero has to necessarily correspond to a graph which…
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