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Definition 1. 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) + +.
Sep 9, 2023 · Convex Functions. Examples: Logarithmic functions, negative exponential functions. Properties: Slope decreases as you move along the function. Holds the property f(tx + (1−t)y) ≤ tf(x) + (1−t)f(y) for 0 ≤t ≤1. Ways to Remember: A convex function looks like a valley.
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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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.
Review your knowledge of concavity of functions and how we use differential calculus to analyze it.
Concavity of a Function Definition: Indicates the direction of the curve's bend; concave up like a cup and concave down like a cap, with changes marked by inflection points. How to Determine Concavity: Analyse the function's second derivative; positive indicates concave up, negative indicates concave down.
If we are trying to understand the shape of the graph of a function, knowing where it is concave up and concave down helps us to get a more accurate picture. Of particular interest are points at which the concavity changes from up to down or down to up; such points are called inflection points .