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Swimming below icebergs

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Abstract

You are swimming close to an iceberg with a convex lower surface. You calculate at what slope you have to swim down so that, whatever the direction in which you swim, you can be sure that you will not collide with the iceberg. This limiting slope is intimately related to the existence of subtangents to the iceberg that satisfy various conditions. These considerations lead to generalizations of Rockafellar's Maximal Monotonicity Theorem, of which we give acomplete new proof. We also discuss related open problems on maximal monotonicity and subdifferentials, and generalizations of recent results on the existence of subtangents separating the epigraphs of proper convex lower semicontinuous functions from nonempty bounded closed convex sets, with some control over their slopes.

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References

  1. Beer, G.: The slice topology: A viable alternative to Mosco convergence in nonreflexive spaces,Nonlinear Anal. 19 (1992), 271–290.

    Google Scholar 

  2. Borwein, J. M.: A note on ɛ-subgradients and maximal monotonicity,Pacific J. Math. 103 (1982), 307–314.

    Google Scholar 

  3. Brøndsted, A. and Rockafellar, R. T.: On the subdifferentiability of convex functions,Proc. Amer. Math. Soc. 16 (1965), 605–611.

    Google Scholar 

  4. Ekeland, I.: Nonconvex minimization problems,Bull. Amer. Math. Soc. 1 (1979), 443–474.

    Google Scholar 

  5. Fitzpatrick, S. and Phelps, R. R.: Bounded approximants to monotone operators on Banach spaces,Ann. Inst. Henri Poincaré, Analyse non linéaire,9 (1992), 573–595.

    Google Scholar 

  6. Phelps, R. R.:Convex Functions, Monotone Operators and Differentiability, Springer-Verlag, Berlin, 1989.

    Google Scholar 

  7. Rockafellar, R. T.: On the maximal monotonicity of subdifferential mappings,Pacific J. Math. 33 (1970), 209–216.

    Google Scholar 

  8. Simons, S.: The least slope of a convex function and the maximal monotonicity of its subdifferential,J. Optim. Theory 71 (1991), 127–136.

    Google Scholar 

  9. Simons, S.: Subtangents with controlled slope,Nonlinear Anal., to appear.

  10. Simons, S.: Subdifferentials are locally maximal monotone,Bull. Austral. Math. Soc. 47 (1993), 465–471.

    Google Scholar 

  11. Taylor, P. D.: Subgradients of a convex function obtained from a directional derivative,Pacific J. Math. 44 (1973), 739–747.

    Google Scholar 

  12. Zagrodny, D.: Approximate mean value theorem for upper subderivatives,Nonlinear Anal. 12 (1988), 1413–1428.

    Google Scholar 

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Simons, S. Swimming below icebergs. Set-Valued Anal 2, 327–337 (1994). https://doi.org/10.1007/BF01027109

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  • DOI: https://doi.org/10.1007/BF01027109

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