Generalization of the Wasserstein-to-dual-norm estimate for radius distributions
Establish a generalization of the standard Wasserstein duality estimate that controls differences of measures on spatial position and particle radius in the mixed dual norm associated with $H_x^1W_\\sigma^{1,\\infty}$, thereby relating the empirical-measure Wasserstein distance to the Dirichlet energy available for the concentration error.
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Clearly $f_\varepsilon{\rm app}$ is not even absolutely continuous with respect to the Lebesgue measure due to the Dirac measures in the distribution of the radii. However its marginal with respect to the space variable $\rho_\varepsilon{\rm app} := \int_{[0,\infty)} f_\varepsilon{\rm app} d \sigma$ is indeed uniformly bounded in $L\infty$. Since, we only test with Lipschitz functions with respect to the $\sigma$ variable, one could therefore hope to relate $\mathcal W_2(f_\varepsilon,f)$ to the norm $\|f_\varepsilon{\rm app}(t) - f(t)\|{(H1_xW\sigma{1,\infty})\ast}$. It seems not obvious how to generalize the proof of \Lemma 5.33 in this way, though.