In mathematics, the Hermite–Hadamard inequality, named after Charles Hermite and Jacques Hadamard and sometimes also called Hadamard's inequality, states that if a function ƒ : [a, b] → R is convex, then the following chain of inequalities hold:
Contents
- Generalisations The concept of a sequence of iterated integrals
- Example 1
- Example 2
- Example 3
- Theorem
- References
Generalisations - The concept of a sequence of iterated integrals
Suppose that −∞ < a < b < ∞, and let f:[a, b] → ℝ be an integrable real function. Under the above conditions the following sequence of functions is called the sequence of iterated integrals of f,where a ≤ s ≤ b.:
Example 1
Let [a, b] = [0, 1] and f(s) ≡ 1. Then the sequence of iterated integrals of 1 is defined on [0, 1], and
Example 2
Let [a,b] = [−1,1] and f(s) ≡ 1. Then the sequence of iterated integrals of 1 is defined on [−1, 1], and
Example 3
Let [a, b] = [0, 1] and f(s) = es. Then the sequence of iterated integrals of f is defined on [0, 1], and
Theorem
Suppose that −∞ < a < b < ∞, and let f:[a,b]→R be a convex function, a < xi < b, i = 1, ..., n, such that xi ≠ xj, if i ≠ j. Then the following holds:
where
In the concave case ≤ is changed to ≥.
Remark 1. If f is convex in the strict sense then ≤ is changed to < and equality holds iff f is linear function.
Remark 2. The inequality is sharp in the following limit sense: let
Then the limit of the left side exists and