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      • 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.
      library.fiveable.me/key-terms/mathematical-tools-for-the-physical-sciences/concavity
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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. 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.

  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. 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.

  6. A function $f(x)$ is said to be quasi-concave if its domain and all its $\alpha$-superlevel sets defined as $$\mathcal{S}_\alpha \triangleq\{x|x\in dom f, f(x)\geq\alpha\}$$ are convex for every $\alpha$.

  7. Nov 21, 2023 · Examples of concavity: Consider the function {eq}f(x)=\frac{1}{8} x^4-3x^2 {/eq}. The first derivative would be {eq}f' (x)=\frac{1}{2} x^3-6x {/eq}.

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