On Marginal Subgradients of Convex Functions

Roxin Zhang
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Abstract

For a lower semi continuous and proper convex function $f$ with nonempty minimizer set and a point $x$ in its domain, a marginal subgradient of $f$ at $x$ is a vector in $\partial f(x)$ with the smallest norm. We denote the norm of the marginal subgradient of $f$ at $x$ by $g(x)$. In this paper we study the monotonicity of the infimum of $g(x)$ over an equidistance contour from the minimizer set. The results are applied to the study of some growth properties of the marginal subgradients.
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关于凸函数的边缘次梯度
对于具有非空极小集的下半连续固有凸函数$f$,其定义域上有点$x$,则$f$在$x$处的边缘子梯度是$\偏f(x)$中范数最小的向量。我们用$g(x)$表示$f$在$x$处的边际子梯度的范数。本文研究了$g(x)$在离最小集等距离等值线上的最小值的单调性。将所得结果应用于研究边缘亚梯度的某些生长特性。
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