2021
DOI: 10.5802/ojmo.7
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The difference vectors for convex sets and a resolution of the geometry conjecture

Abstract: The geometry conjecture, which was posed nearly a quarter of a century ago, states that the fixed point set of the composition of projectors onto nonempty closed convex sets in Hilbert space is actually equal to the intersection of certain translations of the underlying sets.In this paper, we provide a complete resolution of the geometry conjecture. Our proof relies on monotone operator theory. We revisit previously known results and provide various illustrative examples. Comments on the numerical computation … Show more

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Cited by 6 publications
(8 citation statements)
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“…In Lemma 16, we give a result very similar to Lemma 6 using three (nontrivial) results on maximally monotone operators on a Hilbert space. This corresponds more closely with the method used in [3], and is what we call the maximally monotone operator approach.…”
Section: Introductionmentioning
confidence: 78%
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“…In Lemma 16, we give a result very similar to Lemma 6 using three (nontrivial) results on maximally monotone operators on a Hilbert space. This corresponds more closely with the method used in [3], and is what we call the maximally monotone operator approach.…”
Section: Introductionmentioning
confidence: 78%
“…This conjecture was finally solved in the affirmative in [3,Theorem 9,. In this paper, we give a proof of this conjecture which is simpler than that in [3], and extends the result to a more general situation. (See Theorem 7.)…”
Section: Introductionmentioning
confidence: 88%
“…Remark 7.4. In this regard, see [2] for finding cycles and gap vectors of compositions of projections, and also [8,Section 3.3.3] for an abstract framework.…”
Section: Proof (I)and(ii)mentioning
confidence: 99%
“…Many authors have studied cycles of compositions of proximal mappings or resolvents; see, e.g., [2,4,5,7,9,14,15,10,21]. For the compositions of two proximal mappings or resolvents, the investigation has matured; see [8,21].…”
Section: Introductionmentioning
confidence: 99%
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