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Two math problems related to real-valued functions. The first problem deals with proving an inequality (m2 ≤ 4m0m1) for a twice differentiable function with given conditions. The second problem discusses the definition and properties of convex functions, focusing on the relationship between differentiability, increasing derivatives, and second derivatives.
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1.* Suppose c ∈ R, f is a twice differentiable real-valued function on (c, ∞), and M 0 , M 1 , M 2 are least upper bounds for |f (x)|, |f ′(x)|, |f ′′(x)| re- spectively, on (c, ∞). Prove that M 12 ≤ 4 M 0 M 2.
2.* A real-valued function is said to be convex if
f (λx + (1 − λ)y) ≤ λf (x) + (1 − λ)f (y)
whenever a < x < b, a < y < b, and 0 < λ < 1.
(a) Prove that if f is differentiable, then f is convex if and only if f ′ is increasing. (b) Assume next that f ′′(x) exists for every x ∈ (a, b), and prove that f is convex if and only if f ′′(x) ≥ 0 for all x ∈ (a, b).