Testing Linear-Invariant Non-Linear Properties
Arnab Bhattacharyya, Victor Chen, Madhu Sudan, Ning Xie

TL;DR
This paper studies the testing of linear-invariant properties of Boolean functions, extending previous results to a broader class of non-linear properties characterized by forbidden patterns and their linear transformations.
Contribution
It introduces a systematic framework for testing non-linear properties invariant under linear transformations, extending Green's triangle-freeness test to properties defined by graphic matroids.
Findings
Testability of properties defined by forbidden patterns with graphic matroids.
Extension of Green's triangle-freeness test to new classes of properties.
Linking linear systems complexity with graphic matroids.
Abstract
We consider the task of testing properties of Boolean functions that are invariant under linear transformations of the Boolean cube. Previous work in property testing, including the linearity test and the test for Reed-Muller codes, has mostly focused on such tasks for linear properties. The one exception is a test due to Green for "triangle freeness": a function satisfies this property if do not all equal 1, for any pair . Here we extend this test to a more systematic study of testing for linear-invariant non-linear properties. We consider properties that are described by a single forbidden pattern (and its linear transformations), i.e., a property is given by points and satisfies the property that if for all linear maps it is the case that…
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Taxonomy
TopicsComplexity and Algorithms in Graphs · Optimization and Search Problems · Machine Learning and Algorithms
