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Analyzing lexicographical linear inequality systems via convex hulls

Jul 2026 · TOP - An Official Journal of the Spanish Society of Statistics and Operations Research · 0 citations · 12 references

Abstract

<jats:p> Lexicographical extensions of well-known separation theorems for convex sets in <jats:inline-formula> <jats:alternatives> <jats:tex-math>$$\mathbb {R}^n$$</jats:tex-math> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msup> <mml:mrow> <mml:mi>R</mml:mi> </mml:mrow> <mml:mi>n</mml:mi> </mml:msup> </mml:math> </jats:alternatives> </jats:inline-formula> are provided in the literature. Particularly, recent theorems regarding open and closed separation of a convex set from any outside point by linear operators from <jats:inline-formula> <jats:alternatives> <jats:tex-math>$$\mathbb {R}^n$$</jats:tex-math> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msup> <mml:mrow> <mml:mi>R</mml:mi> </mml:mrow> <mml:mi>n</mml:mi> </mml:msup> </mml:math> </jats:alternatives> </jats:inline-formula> to <jats:inline-formula> <jats:alternatives> <jats:tex-math>$$\mathbb {R}^m$$</jats:tex-math> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msup> <mml:mrow> <mml:mi>R</mml:mi> </mml:mrow> <mml:mi>m</mml:mi> </mml:msup> </mml:math> </jats:alternatives> </jats:inline-formula> , in the sense of the lexicographical order of <jats:inline-formula> <jats:alternatives> <jats:tex-math>$$\mathbb {R}^m$$</jats:tex-math> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msup> <mml:mrow> <mml:mi>R</mml:mi> </mml:mrow> <mml:mi>m</mml:mi> </mml:msup> </mml:math> </jats:alternatives> </jats:inline-formula> , for each <jats:inline-formula> <jats:alternatives> <jats:tex-math>$$m\in \{1,\ldots ,n\}$$</jats:tex-math> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>m</mml:mi> <mml:mo>∈</mml:mo> <mml:mo>{</mml:mo> <mml:mn>1</mml:mn> <mml:mo>,</mml:mo> <mml:mo>…</mml:mo> <mml:mo>,</mml:mo> <mml:mi>n</mml:mi> <mml:mo>}</mml:mo> </mml:mrow> </mml:math> </jats:alternatives> </jats:inline-formula> , allow to define two new families of properties for convex sets. Based on these results, that we review and extend in this paper, we provide dual characterizations for the consistency of two kinds of systems defined by weak and/or strict lexicographical linear inequalities, and for those inequalities which are satisfied for every solution of a given system. Such results are formulated in terms of appropriate convex hulls of certain sets depending on the coefficients of the system. </jats:p>

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Y. Shang · 0 citations
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The free F-restriction semigroups

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Ganna Kudryavtseva, Ajda Lemut Furlani · 0 citations
Open access Aug 2026

Tail estimates in Grand Lebesgue Spaces with applications to Riesz transforms

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Open access Jul 2026

Sharp inequalities between Zolotarev and Wasserstein distances in $$\mathcal {P}_2(\mathbb {R}^d)$$

<jats:p> Based on a new Kantorovich–Rubinstein duality principle for the Hessian that was recently established by the two authors, we extend the Rio inequality to any dimension <jats:inline-formula> <jats:alternatives> <jats:tex-math>$$d \ge 1$$</jats:tex-math> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>d</mml:mi> <mml:mo>≥</mml:mo> <mml:mn>1</mml:mn> </mml:mrow> </mml:math> </jats:alternatives> </jats:inline-formula> with an optimal constant. Similarly, we propose an optimal upper bound for the ratio of Zolotarev distance <jats:inline-formula> <jats:alternatives> <jats:tex-math>$$Z_2(\mu ,\nu )$$</jats:tex-math> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msub> <mml:mi>Z</mml:mi> <mml:mn>2</mml:mn> </mml:msub> <mml:mrow> <mml:mo>(</mml:mo> <mml:mi>μ</mml:mi> <mml:mo>,</mml:mo> <mml:mi>ν</mml:mi> <mml:mo>)</mml:mo> </mml:mrow> </mml:mrow> </mml:math> </jats:alternatives> </jats:inline-formula> to Wasserstein distance <jats:inline-formula> <jats:alternatives> <jats:tex-math>$$W_2(\mu ,\nu )$$</jats:tex-math> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msub> <mml:mi>W</mml:mi> <mml:mn>2</mml:mn> </mml:msub> <mml:mrow> <mml:mo>(</mml:mo> <mml:mi>μ</mml:mi> <mml:mo>,</mml:mo> <mml:mi>ν</mml:mi> <mml:mo>)</mml:mo> </mml:mrow> </mml:mrow> </mml:math> </jats:alternatives> </jats:inline-formula> when <jats:inline-formula> <jats:alternatives> <jats:tex-math>$$\mu ,\nu \in \mathcal {P}_2(\mathbb {R}^d)$$</jats:tex-math> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>μ</mml:mi> <mml:mo>,</mml:mo> <mml:mi>ν</mml:mi> <mml:mo>∈</mml:mo> <mml:msub> <mml:mi>P</mml:mi> <mml:mn>2</mml:mn> </mml:msub> <mml:mrow> <mml:mo>(</mml:mo> <mml:msup> <mml:mrow> <mml:mi>R</mml:mi> </mml:mrow> <mml:mi>d</mml:mi> </mml:msup> <mml:mo>)</mml:mo> </mml:mrow> </mml:mrow> </mml:math> </jats:alternatives> </jats:inline-formula> are centred probabilities with prescribed variances. </jats:p>

Karol Bołbotowski, Guy Bouchitt'e · 0 citations

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