Proving Jensen's Inequality
See the revised video: • Proving Jensen's Inequality: A Deep Dive i... If a function is convex on an interval, then Jensen's inequality holds, which says for any number of points in the interval, the average value of the function values at these points is greater than or equal to the function value of the average value of the points: average of f(x) ≧ f(average of x_i). I first explain what a convex function means, and then, give a proof of Jensen's inequality by using mathematical induction.

▶︎
Deriving the multivariate normal distribution from the maximum entropy principle

▶︎
What makes the natural log "natural"? | Ep. 7 Lockdown live math

▶︎
Every Famous Number, Explained: From Pi to the Unknowable

▶︎
Jensen's Inequality : Data Science Basics

▶︎
S18.2 Jensen's Inequality

▶︎
Chebyshev's inequality formula. Simple proof.

▶︎
Jensen's Inequality

▶︎
Jensen's Inequality

▶︎
A Simple yet Powerful Math Trick

▶︎
"A Random Variable is NOT Random and NOT a Variable"

▶︎
Why Averages Are (Almost) Always Wrong: Jensen's Inequality and the Flaw of Averages

▶︎
L24: Convex functions & Jensen's inequality | convexity, concavity & logarithm properties

▶︎
Train Your Brain to Never Forget (5 Feynman Habits)

▶︎
a symmetric inequality

▶︎
These Limits Are Too Complicated for Calculus

▶︎
Young's Inequality | A Geometric Proof of Young's Inequality

▶︎
Singular Value Decomposition (the SVD)

▶︎
Animation vs. Math

▶︎
You should know this number theory result -- Bertrand's Postulate

▶︎
