In mathematics, the following inequality is known as Titu's lemma,   Bergström's inequality, Engel's form or Sedrakyan's inequality, respectively, referring to the article About the applications of one useful inequality of Nairi Sedrakyan published in 1997,[1] to the book Problem-solving strategies of Arthur Engel published in 1998 and to the book Mathematical Olympiad Treasures of Titu Andreescu published in 2003.[2][3] It is a direct consequence of Cauchy–Bunyakovsky–Schwarz inequality. Nevertheless, in his article (1997) Sedrakyan has noticed that written in this form this inequality can be used as a proof technique and it has very useful new applications. In the book Algebraic Inequalities (Sedrakyan) several generalizations of this inequality are provided.[4] 
  Statement of the inequality
 For any real numbers 
 and positive reals 
 we have 
 (Nairi Sedrakyan (1997), Arthur Engel (1998), Titu Andreescu (2003)) 
 Probabilistic statement
 Similarly to the Cauchy–Schwarz inequality, one can generalize Sedrakyan's inequality to random variables. In this formulation let 
 be a real random variable, and let 
 be a positive random variable. X and Y need not be independent, but we assume 
 and 
 are both defined. Then 
 
 Direct applications
 Example 1. Nesbitt's inequality. 
For positive real numbers 
 
 
Example 2. International Mathematical Olympiad (IMO) 1995. 
For positive real numbers 
, where 
 we have that 
 
Example 3. 
For positive real numbers 
 we have that 
 
Example 4. 
For positive real numbers 
 we have that 
 
 Proofs
 Example 1. 
Proof: Use 
 
 and 
 to conclude: 
  
Example 2. 
We have that 
 
Example 3. 
We have 
 so that 
 
Example 4. 
We have that 
 
 References