Abstract
We look for a simple general framework which would encompass the notion of symmetric self-dual spaces introduced by S. Simons and the notion of self-paired product space proposed recently by the author ["Monotonicities and dualities", in: Generalized Convexity and Related Topics, I. V. Konnor, D. T. Luc and A. M. Rubinov (eds), Lecture Notes in Economics and Math. Systems 583, Springer, Berlin (2007), 300-414]. Such a framework is appropriate for the study of a notion generalizing the concept of monotone operator. The representation of such operators by functions is the main purpose of the study.
References
- H. H. Bauschke, D. A. MacLaren, H. S. Sendov: Fitzpatrick functions: inequalities, examples and remarks on a problem of Fitzpatrick, J. Convex Analysis 13 (2006) 499–523.https://doi.org/10.68381/jca13043Google Scholar
- J. Borwein: Maximal monotonicity via convex analysis, J. Convex Analysis 13 (2006) 561–586.https://doi.org/10.68381/jca13045Google Scholar
- J. Borwein: Maximality of sums of two maximal monotone operators in general Banach space, Proc. Amer. Math. Soc. 135 (2007) 3917–3934.https://doi.org/10.1090/S0002-9939-07-08960-5Google Scholar
- R. M. Bot, S. I. Grad, G. Wanka: Maximal monotonicity for the precomposition with a linear operator, SIAM J. Optim. 17 (2007) 1239–1252.https://doi.org/10.1137/050641491Google Scholar
- M. Buliga, G. de Saxcé, C. Vallée: Existence and construction of bipotentials for graphs of multivalued laws, J. Convex Analysis 15(1) (2008) 87–104.https://doi.org/10.68381/jca15007Google Scholar
- R. S. Burachik, S. Fitzpatrick: On a family of convex functions attached to a subdifferential operator, J. Nonlinear Convex Anal. 6 (2005) 165–172.Google Scholar
- R. S. Burachik, A. M. Rubinov: On abstract convexity and set-valued analysis, J. Nonlinear Convex Anal. 9(1) (2008) 105–123.Google Scholar
- R. S. Burachik, B. F. Svaiter: Maximal monotone operators, convex functions and a special family of enlargements, Set-Valued Anal. 10(4) (2002) 297–316.https://doi.org/10.1023/A:1020639314056Google Scholar
- R. S. Burachik, B. F. Svaiter: Maximal monotonicity, conjugation and the duality product, Proc. Amer. Math. Soc. 131(8) (2003) 2379–2383.https://doi.org/10.1090/S0002-9939-03-07053-9Google Scholar
- S. Fitzpatrick: Representing monotone operators by convex functions, in: Functional Analysis and Optimization, Workshop / Miniconference (Canberra, 1988), Proc. Cent. Math. Anal. Aust. Natl. Univ. 20, Australian National University, Canberra (1988) 59–65.Google Scholar
- F. Flores-Bazán: On a notion of subdifferentiability for non-convex functions, Optimization 33 (1995) 1–8.https://doi.org/10.1080/02331939508844059Google Scholar
- F. Flores-Bazán, J. E. Martínez-Legaz: Simplified global optimality conditions in generalized conjugation theory, in: Generalized Convexity, Generalized Monotonicity: Recent Results, J.-P. Crouzeix, J. E. Martínez-Legaz, M. Volle (eds.), Kluwer, Dordrecht (1998) 303–329.https://doi.org/10.1007/978-1-4613-3341-8_14Google Scholar
- E. Krauss: A representation of maximal monotone operators by saddle functions, Rev. Roum. Math. Pures Appl. 30 (1985) 823–836.Google Scholar
- E. Krauss: A representation of arbitrary maximal monotone operators via subgradients of skew-symmetric saddle functions, Nonlinear Anal., Theory Methods Appl. 9 (1985) 1381–1399.https://doi.org/10.1016/0362-546X(85)90097-5Google Scholar
- E. Krauss: Maximal monotone operators and saddle functions. I., Z. Anal. Anwend. 5 (1986) 333–346.https://doi.org/10.4171/zaa/202Google Scholar
- J.-E. Martínez-Legaz: Fenchel duality and related properties in generalized conjugation theory, Southeast Asian Bull. Math. 19 (1995) 99–106.Google Scholar
- J.-E. Martínez-Legaz, I. Singer: Dualities between complete lattices, Optimization 21 (1990) 481–508.https://doi.org/10.1080/02331939008843573Google Scholar
- J.-E. Martínez-Legaz, B. F. Svaiter: Monotone operators representable by l.s.c. convex functions, Set-Valued Anal. 13(1) (2005) 21–46.https://doi.org/10.1007/s11228-004-4170-4Google Scholar
- J. E. Martinez-Legaz, M. Théra: A convex representation of maximal monotone operators, J. Nonlinear Convex Anal. 2 (2001) 243–247.Google Scholar
- J.-J. Moreau: Inf-convolution, sous-additivité, convexité des fonctions numériques, J. Math. Pures Appl. 49 (1970) 109–154.Google Scholar
- D. Pallaschke, S. Rolewicz: Foundations of Mathematical Optimization: Convex Analysis Without Linearity, Kluwer, Dordrecht (1998).https://doi.org/10.1007/978-94-017-1588-1Google Scholar
- J.-P. Penot: Rotundity, smoothness and duality, Control Cybern. 32(4) (2003) 711–733.Google Scholar
- J.-P. Penot: Autoconjugate functions and representations of monotone operators, Bull. Aust. Math. Soc. 67 (2003) 277–284.https://doi.org/10.1017/S0004972700033748Google Scholar
- J.-P. Penot: A representation of maximal monotone operators by closed convex functions and its impact on calculus rules, C. R., Math., Acad. Sci. Paris 338(11) (2004) 853–858.https://doi.org/10.1016/j.crma.2004.03.017Google Scholar
- J.-P. Penot: The relevance of convex analysis for the study of monotonicity, Nonlinear Anal., Theory Methods Appl. 58A(7–8) (2004) 855–871.https://doi.org/10.1016/j.na.2004.05.018Google Scholar
- J.-P. Penot: Unilateral analysis and duality, in: GERAD, Essays and Surveys in Global Optimization, G. Savard et al. (eds.), Springer, New York (2005) 1–37.https://doi.org/10.1007/0-387-25570-2_1Google Scholar
- J.-P. Penot: Natural closure, natural compositions and natural sums of monotone operators, J. Math. Pures Appl. 89(6) (2008) 523–537.https://doi.org/10.1016/j.matpur.2008.02.001Google Scholar
- J.-P. Penot: Monotonicities and dualities, in: Generalized Convexity and Related Topics, I. V. Konnor, D. T. Luc, A. M. Rubinov (eds.), Lecture Notes in Economics and Math. Systems 583, Springer, Berlin (2007) 300–414.Google Scholar
- J.-P. Penot, C. Zălinescu: Some problems about the representation of monotone operators by convex functions, ANZIAM J. 47 (2005) 1–20.https://doi.org/10.1017/S1446181100009731Google Scholar
- J.-P. Penot, C. Zălinescu: On the convergence of maximal monotone operators, Proc. Amer. Math. Soc. 134(7) (2005) 1937–1946.https://doi.org/10.1090/S0002-9939-05-08275-4Google Scholar
- S. Rolewicz: Convex analysis without linearity, Control Cybern. 23 (1994) 247–256.Google Scholar
- S. Rolewicz: Duality and convex analysis in the absence of linear structure, Math. Jap. 44(1) (1996) 165–182.Google Scholar
- S. Simons: Positive sets and monotone sets, J. Convex Analysis 14 (2007) 297–317.https://doi.org/10.68381/jca14021Google Scholar
- S. Simons: From Hahn-Banach to Monotonicity, Lecture Notes in Math. 1693, Springer, Berlin (2008).Google Scholar
- S. Simons, C. Zălinescu: A new proof for Rockafellar’s characterization of maximal monotone operators, Proc. Amer. Math. Soc. 132 (2004) 2969–2972.https://doi.org/10.1090/S0002-9939-04-07462-3Google Scholar
- S. Simons, C. Zălinescu: Fenchel duality, Fitzpatrick functions and maximal monotonicity, J. Nonlinear Convex Anal. 6(1) (2005) 1–22.Google Scholar
- C. Zălinescu: A new proof of the maximal monotonicity of the sum using the Fitzpatrick function, in: Variational Analysis and Applications, F. Giannessi, A. Maugeri (eds.), Springer, New York (2005) 1159–1172.https://doi.org/10.1007/0-387-24276-7_66Google Scholar
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Published by Heldermann Verlag, 2009. Rights now held by Banach Press LLC.
