We perturb the (Minty-Browder monotone) gradients of some convex functions ff, defined on convex open subsets of the Euclidean space with suitable linear transformations AA and provide sufficient conditions on ff and AA in order to obtain the η\eta-monotonicity of the perturbation ∇f+A\nabla f+A for some η∈(−1,0)\eta\in (-1,0). These conditions are given in terms of the magnitude of the Hessian operators associated to ff and the spectra of the operators (A+A∗)/2(A+A^*)/2 and A∗AA^*A and they make the Minty-Browder monotonicity of the perturbation ∇f+A\nabla f+A to fail. While the symmetric perturbations are only considered as instructive examples in the Minty-Browder monotone case, we mostly rely, in the even dimensional context, on linear transformations which can be represented as linear combinations between the identity operator and skew-symmetric isometries. Note that the skew-symmetric isometries of R2m\mathbb{R}^{2m} are complex structures on R2m\mathbb{R}^{2m}. In the bidimensional case the rotations do admit such representations and the perturbations of the gradients of convex functions by rotations were treated before by D. Marian, I. R. Peter, and C. Pintea, A class of generalized monotone operators, J. Math. Anal. Appl. 421 (2015) 1827–1843. We also obtain some global injectivity results for suitable linear perturbations of some gradients of convex functions.

Contact details are reproduced from the original publication and may be historical.

Cornel Pintea

Faculty of Mathematics and Computer Science, Babeş-Bolyai University, Str. Kogălniceanu 1, 400084 Cluj-Napoca, Romania

cpintea@math.ubbcluj.ro

Tiberiu Trif

Faculty of Mathematics and Computer Science, Babeş-Bolyai University, Str. Kogălniceanu 1, 400084 Cluj-Napoca, Romania

ttrif@math.ubbcluj.ro
  1. T. Aubin: A Course in Differential Geometry, Graduate Studies in Mathematics 27, American Mathematical Society, Providence (2001).https://doi.org/10.1090/gsm/027Google Scholar
  2. D. Aussel, J.-N. Corvellec, M. Lassonde: Subdifferential characterization of quasiconvexity and convexity, J. Convex Analysis 1 (1994) 195–201.https://doi.org/10.68381/jca01014Google Scholar
  3. S. Boyd, L. Vandenberghe: Convex Optimization, Cambridge University Press, Cambridge (2004).https://doi.org/10.1017/CBO9780511804441Google Scholar
  4. F. E. Browder: Nonlinear elliptic boundary value problems, Bull. Amer. Math. Soc. 69 (1963) 862–874.https://doi.org/10.1090/S0002-9904-1963-11068-XGoogle Scholar
  5. R. Correa, A. Jofre, L. Thibault: Characterization of lower semicontinuous convex functions, Proc. Amer. Math. Soc. 116 (1992) 67–72.https://doi.org/10.1090/S0002-9939-1992-1126193-4Google Scholar
  6. J.-B. Hiriart-Urruty, C. Lemaréchal: Fundamentals of Convex Analysis, Grundlehren. Text Editions, Springer, Berlin (2001).https://doi.org/10.1007/978-3-642-56468-0Google Scholar
  7. K. Hoffman, R. Kunze: Linear Algebra, 2nd Ed., Prentice-Hall, Englewood Cliffs (1971).Google Scholar
  8. G. Kassay, C. Pintea: On preimages of a class of generalized monotone operators, Nonlinear Anal. 73 (2010) 3537–3545.https://doi.org/10.1016/j.na.2010.07.028Google Scholar
  9. D. Marian, I. R. Peter, C. Pintea: A class of generalized monotone operators, J. Math. Anal. Appl. 421 (2015) 1827–1843.https://doi.org/10.1016/j.jmaa.2014.08.017Google Scholar
  10. D. Marian, I. R. Peter, C. Pintea: Operations with monotone operators and the monotonicity of the resulting operators, Monatsh. Math. 181 (2016) 143–168.https://doi.org/10.1007/s00605-015-0820-xGoogle Scholar
  11. Y. Matsumoto: An Introduction to Morse Theory, Iwanami Series in Modern Mathematics 208, American Mathematical Society, Providence (2002).Google Scholar
  12. G. J. Minty: On a "monotonicity" method for the solution of non-linear equations in Banach spaces, Proc. Natl. Acad. Sci. USA 50 (1963) 1038–1041.https://doi.org/10.1073/pnas.50.6.1038Google Scholar
  13. R. S. Palais, C.-L. Terng: Critical Point Theory and Submanifold Geometry, Lecture Notes in Mathematics 1353, Springer, Berlin (1988).https://doi.org/10.1007/BFb0087442Google Scholar
  14. M. M. Postnikov: Geometry VI. Riemanniann Geometry, Encyclopaedia of Mathematical Sciences 91, Springer, Berlin (2001).https://doi.org/10.1007/978-3-662-04433-9Google Scholar

C. Pintea, T. Trif. “The Monotonicity of Perturbed Gradients of Convex Functions.” Journal of Convex Analysis 24 (2017), No. 2, 525–545. https://doi.org/10.68381/jca24035