(no title)
raziel2701 | 1 year ago
Goes to wikipedia
"In mathematics, Jensen's inequality, named after the Danish mathematician Johan Jensen, relates the value of a convex function of an integral to the integral of the convex function. It was proved by Jensen in 1906,[1] building on an earlier proof of the same inequality for doubly-differentiable functions by Otto Hölder in 1889.[2] Given its generality, the inequality appears in many forms depending on the context, some of which are presented below. In its simplest form the inequality states that the convex transformation of a mean is less than or equal to the mean applied after convex transformation; it is a simple corollary that the opposite is true of concave transformations"
I still have no idea what it means.
programjames|1 year ago
unknown|1 year ago
[deleted]
kxyvr|1 year ago
There are a bunch of generalizations to this. It works for any convex combination of points. A convex combination of points is a weighted sum of points where the weights are positive and add to 1. If one is careful, eventually this can become an infinite convex combination of points, which means that the inequality holds with integrals.
In my opinion, the wiki article is not well written.
Ey7NFZ3P0nzAe|1 year ago
belter|1 year ago