Balls have the worst best Sobolev inequalities
By Francesco Maggi, Cédric Villani. 2005
71 citations recorded by the source corpus.
Subfields: Applied Mathematics, Computational Theory and Mathematics
View Paper: https://www.semanticscholar.org/paper/6f0a0a30101e870efabab69667a63c9b9bdf0a9c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Applied Mathematics
- Alessio Figalli
- Van Hoang Nguyen
- N. Fusco
- Francesco Maggi
- Aldo Pratelli
- Andrea Cianchi
- Nestor Guillen
- Bruno Nazaret
In Computational Theory and Mathematics
- Van Hoang Nguyen
- Bruno Nazaret
- N. Fusco
- Francesco Maggi
- Nestor Guillen
- Robert J. McCann
- Andrea Cianchi
- Aldo Pratelli
Citations in the corpus
- Differential forms on Wasserstein space and infinite-dimensional Hamiltonian systems (2008, unknown): “[1], [15], [16], [28].”
- Five lectures on optimal transportation: Geometry, regularity and applications (2010, background): “On the pure side, these include connections to inequalities [92] [131] [94] [32] [90] [52], geometry (including sectional [85] [73], Ricci [88] [87] [127] [99] and mean [75] curvature), nonlinear partial differential equations [14] [18] [16] [135] [89], and dynamical systems (weak KAM theory [9]; no”
- The sharp Sobolev inequality in quantitative form (2009, background): “key ingredient here is a trace inequality from [ MV ], Theorem 1.3, which, in the one-dimensional case, tells us that µ n!n Z r”
- Sharp weighted Sobolev and Gagliardo–Nirenberg inequalities on half‐spaces via mass transport and consequences (2013, methodology): “In recent years, mass transportation method has been used successfully to prove some sharp inequalities in Analysis and Geometry, for example, see [3, 5, 11, 12, 16, 18, 19, 22, 24].”
- Best constant in Sobolev trace inequalities on the half-space (2006, methodology): “We begin by establishing with the techniques of [11, 20 ] an inequality valid on two arbitrary smooth and compactly supported probability densities F and G. Then, in a second part, we apply the inequality to F = f”