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It is also possible to characterize concavity or convexity of functions in terms of the convexity of particular sets. Given the graph of a function, the hypograph of f,
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Review your knowledge of concavity of functions and how we use differential calculus to analyze it.
A function f : S ⊂ Rn → R defined on a convex set S is concave if for any two points x1 x2 ∈ , S and for any λ ∈ [0, 1] we have: λx1 (1 − λ) x2 ≥ λf(x1) (1 − λ)f(x2) + +. is called strictly concave if for any two points x1 , x2 ∈ S and for any λ ∈ (0, 1) we have: λx1 (1 − λ) x2 > λf(x1) (1 − λ)f(x2) + +.
Definition. Concavity refers to the direction of the curvature of a function's graph. It indicates whether the graph is bending upwards (concave up) or downwards (concave down) and is closely related to the second derivative of the function.
Understanding the concavity of a function is pivotal in analysing the shape and direction of curves in mathematics. It tells us whether a curve opens upwards or downwards, providing valuable insights into the function's behaviour at different points.
In this lecture, we shift our focus to the other important player in convex optimization, namely, convex functions. Here are some of the topics that we will touch upon: Convex, concave, strictly convex, and strongly convex functions. First and second order characterizations of convex functions.
Sep 9, 2023 · Definition: An object or a function is concave if it curves inward. In simple terms, it’s hollow or bowed in, much like a cave. Everyday Examples: A bowl. A satellite dish. A spoon’s interior. Skateboard ramps. A pie with a slice taken out of it. Convex.