<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 <InlineEquation ID="IEq3"> <EquationSource Format="TEX">\(d \ge 1\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>d</mi> <mo>≥</mo> <mn>1</mn> </mrow> </math></EquationSource> </InlineEquation> with an optimal constant. Similarly, we propose an optimal upper bound for the ratio of Zolotarev distance <InlineEquation ID="IEq4"> <EquationSource Format="TEX">\(Z_2(\mu ,\nu )\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <msub> <mi>Z</mi> <mn>2</mn> </msub> <mrow> <mo stretchy="false">(</mo> <mi>μ</mi> <mo>,</mo> <mi>ν</mi> <mo stretchy="false">)</mo> </mrow> </mrow> </math></EquationSource> </InlineEquation> to Wasserstein distance <InlineEquation ID="IEq5"> <EquationSource Format="TEX">\(W_2(\mu ,\nu )\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <msub> <mi>W</mi> <mn>2</mn> </msub> <mrow> <mo stretchy="false">(</mo> <mi>μ</mi> <mo>,</mo> <mi>ν</mi> <mo stretchy="false">)</mo> </mrow> </mrow> </math></EquationSource> </InlineEquation> when <InlineEquation ID="IEq6"> <EquationSource Format="TEX">\(\mu ,\nu \in \mathcal {P}_2(\mathbb {R}^d)\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>μ</mi> <mo>,</mo> <mi>ν</mi> <mo>∈</mo> <msub> <mi mathvariant="script">P</mi> <mn>2</mn> </msub> <mrow> <mo stretchy="false">(</mo> <msup> <mrow> <mi mathvariant="double-struck">R</mi> </mrow> <mi>d</mi> </msup> <mo stretchy="false">)</mo> </mrow> </mrow> </math></EquationSource> </InlineEquation> are centred probabilities with prescribed variances.</p>

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

  • Karol Bołbotowski,
  • Guy Bouchitté

摘要

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 \(d \ge 1\) d 1 with an optimal constant. Similarly, we propose an optimal upper bound for the ratio of Zolotarev distance \(Z_2(\mu ,\nu )\) Z 2 ( μ , ν ) to Wasserstein distance \(W_2(\mu ,\nu )\) W 2 ( μ , ν ) when \(\mu ,\nu \in \mathcal {P}_2(\mathbb {R}^d)\) μ , ν P 2 ( R d ) are centred probabilities with prescribed variances.