
doi: 10.68381/jca01001
The sum of (nonlinear) maximal monotone operators is reconsidered from the Yosida approximation and graph-convergence point of view. This leads to a new concept, called variational sum, which coincides with the classical (pointwise) sum when the classical sum happens to be maximal monotone. In the case of subdifferentials of convex lower semicontinuous proper functions, the variational sum is equal to the subdifferential of the sum of the functions. A general feature of the variational sum is to involve not only the values of the two operators at the given point but also their values at nearby points.
Mosco-convergence, Yosida approximation, variational sum, epi-convergence, graph-distance, Fenchel duality, sum of (nonlinear) maximal monotone operators, set-convergence, Variational and other types of inequalities involving nonlinear operators (general), Brezis-Crandall-Pazy condition, subdifferentials of convex lower semicontinuous proper functions, graph-convergence, Applications of operator theory in optimization, convex analysis, mathematical programming, economics, epi-distance inf-convolution, Monotone operators and generalizations, \(\rho\)-Hausdorff distance
Mosco-convergence, Yosida approximation, variational sum, epi-convergence, graph-distance, Fenchel duality, sum of (nonlinear) maximal monotone operators, set-convergence, Variational and other types of inequalities involving nonlinear operators (general), Brezis-Crandall-Pazy condition, subdifferentials of convex lower semicontinuous proper functions, graph-convergence, Applications of operator theory in optimization, convex analysis, mathematical programming, economics, epi-distance inf-convolution, Monotone operators and generalizations, \(\rho\)-Hausdorff distance
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