Matrix analysis
Topics in matrix analysis
Modified barrier functions (theory and methods)
Mathematical Programming: Series A and B
Merit functions for semi-definite complementarity problems
Mathematical Programming: Series A and B
Smoothing Functions for Second-Order-Cone Complementarity Problems
SIAM Journal on Optimization
Semismooth Matrix-Valued Functions
Mathematics of Operations Research
A Class of Interior Proximal-Like Algorithms for Convex Second-Order Cone Programming
SIAM Journal on Optimization
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We provide some characterizations for SOC-monotone and SOC-convex functions by using differential analysis. From these characterizations, we particularly obtain that a continuously differentiable function defined in an open interval is SOC-monotone (SOC-convex) of order n 驴 3 if and only if it is 2-matrix monotone (matrix convex), and furthermore, such a function is also SOC-monotone (SOC-convex) of order n 驴 2 if it is 2-matrix monotone (matrix convex). In addition, we also prove that Conjecture 4.2 proposed in Chen (Optimization 55:363---385, 2006) does not hold in general. Some examples are included to illustrate that these characterizations open convenient ways to verify the SOC-monotonicity and the SOC-convexity of a continuously differentiable function defined on an open interval, which are often involved in the solution methods of the convex second-order cone optimization.