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Research PaperResearchia:202609.10073

Nonmaximal sums of maximally monotone operators under Rockafellar's constraint qualification

Weifeng Yang

Abstract

We construct counterexamples to Rockafellar's sum conjecture in which two maximally monotone operators satisfy the interior-domain condition but their sum is not maximally monotone. We give one counterexample on $c_0$ and another on $\ell^1$ with its usual norm. We establish a general construction theorem that computes the entire monotone polar of a class of graphs, gives a necessary and sufficient condition for their maximal monotonicity, and shows how a positive rank-one perturbation yields a ...

Submitted: September 10, 2026Subjects: Machine Learning; Data Science

Description / Details

We construct counterexamples to Rockafellar's sum conjecture in which two maximally monotone operators satisfy the interior-domain condition but their sum is not maximally monotone. We give one counterexample on c0c_0 and another on β„“1\ell^1 with its usual norm. We establish a general construction theorem that computes the entire monotone polar of a class of graphs, gives a necessary and sufficient condition for their maximal monotonicity, and shows how a positive rank-one perturbation yields a nonmaximal sum under this condition. We verify the theorem's hypotheses and its maximality criterion on c0c_0, thereby obtaining a counterexample to the conjecture. Furthermore, we construct a bounded linear surjection from β„“1\ell^1 onto c0c_0 and use it to obtain the counterexample on β„“1\ell^1.


Source: arXiv:2609.10487v1 - http://arxiv.org/abs/2609.10487v1 PDF: https://arxiv.org/pdf/2609.10487v1 Original Link: http://arxiv.org/abs/2609.10487v1

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Date:
Sep 10, 2026
Topic:
Data Science
Area:
Machine Learning
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