In this paper, we study convex analysis and its theoretical applications. We apply important tools of convex analysis to Optimization and to Analysis. Then we show various deep applications of convex analysis and especially infimal convolution in Monotone Operator Theory. Among other things, we recapture the Minty surjectivity theorem in Hilbert space, and present a new proof of the sum theorem in reflexive spaces. More technically, we also discuss auto-conjugate representers for maximally monotone operators. Finally, we consider various other applications in mathematical analysis.The authors were all partially supported by various Australian Research Council grants
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