1999
DOI: 10.1007/pl00004691
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A geometrical approach to monotone functions in $\mathbb R^n$

Abstract: The paper is concerned with the fine properties of monotone functions on R n . We study the continuity and differentiability properties of these functions, the approximability properties, the structure of the distributional derivatives and of the weak Jacobians. Moreover, we exhibit an example of a monotone function u which is the gradient of a C 1,α convex function and whose weak Jacobian Ju is supported on a purely unrectifiable set.

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Cited by 127 publications
(203 citation statements)
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“…Let Ω be a half-ball of radius one, let Ω ′ be the concentric half ball of radius 1 2 , and let u ∈ W 1,2 Ω; R 2 be a weak solution of the Neumann problem…”
Section: Theorem 37mentioning
confidence: 99%
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“…Let Ω be a half-ball of radius one, let Ω ′ be the concentric half ball of radius 1 2 , and let u ∈ W 1,2 Ω; R 2 be a weak solution of the Neumann problem…”
Section: Theorem 37mentioning
confidence: 99%
“…As in the proof of Theorem 3.13 it is enough to consider Γ \ (Γ cusps ∪ Γ cuts ). Fix a closed subarc Γ ′ ⊂ Γ \ (Γ cusps ∪ Γ cuts ), 1 2 < σ 0 < 1, and a point z 0 = (x 0 , y 0 ) in Γ ′ . As in the proof of Theorem 3.13, for all 0 < r ≤ r 1 we may extend u to the ball B (z 0 , r) in such a way that (3.67) holds.…”
Section: Bymentioning
confidence: 99%
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“…Appendix E explains how to extend the results of the paper from the setting of compact measured length spaces to the setting of complete pointed locally compact measured length spaces. Appendix F has some bibliographic notes on optimal transport and displacement convexity.The results of this paper were presented at the workshop "Collapsing and metric geometry" in Münster, August [1][2][3][4][5][6][7] 2004. After the writing of the paper was essentially completed we learned of related work by 42].…”
mentioning
confidence: 99%
“…A mapping f : R n → R n is called monotone if F (x) − F (y), x − y ≥ 0 for all x, y ∈ R n , where ·, · is the inner product [2,27]. In other words, F is monotone if the angle formed by the vectors F (x) − F (y) and x − y is at most π/2.…”
Section: Introductionmentioning
confidence: 99%