Undergrad What is this form of concavity called?

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The discussion centers on the concept of ??-concavity in differentiable functions, specifically defined for a function f on a subset X of R^n. A function is termed ??-concave if there exists a vector β in R_{++}^n such that the inequality involving the gradient map ∇f holds for all points x and y in X. The standard concavity is achieved when β equals zero. The user seeks clarification on the specific form of concavity they are encountering and its existing generalizations.

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  • Understanding of differentiable functions and their properties
  • Familiarity with gradient maps and their applications
  • Knowledge of concavity and its mathematical definitions
  • Basic concepts of vector spaces in R^n
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  • Research the properties and applications of ??-concavity in optimization
  • Explore various generalizations of concavity in mathematical literature
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Mathematicians, researchers in optimization theory, and students studying advanced calculus or real analysis will benefit from this discussion.

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What is this form of concavity called?
I'm working on a model which produces a form of concavity which I'm not familiar with. Does anyone know what this form is called and if it has been studied before?

The definition in its differentiable version reads:

Let ##X\subset \mathbb{R}^{n}##. A differentiable function ##f##, defined on ##X##, with a gradient map ##\nabla f## is called ??-concave, if there exists a vector ##\beta \in \mathbb{R}_{++}^{n}##, such that the following holds for all ##x,y\in X:##

##f\left( y\right) -f\left( x\right) -\nabla f\left( x\right) \cdot \left(y-x\right) \leq \beta \cdot \left( y-x\right)##

The standard form of concvaity is obtained by setting ##\beta=0##
 
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I couldn't find your specific generalization, but there are so many generalizations of the concept, that it is hard to tell whether yours is among them or possibly equivalent to any.
 

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