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  2. 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) + +.

  3. 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.

  4. 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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  5. 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.

  6. 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.

  7. 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 .