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2+ layout : proof
3+ mathjax : true
4+
5+ author : " Joram Soch"
6+ affiliation : " BCCN Berlin"
7+ e_mail : " joram.soch@bccn-berlin.de"
8+ date : 2024-09-27 12:32:50
9+
10+ title : " Independent random variables are uncorrelated"
11+ chapter : " General Theorems"
12+ section : " Probability theory"
13+ topic : " Correlation"
14+ theorem : " Correlation under independence"
15+
16+ sources :
17+ - authors : " StatProofBook"
18+ year : 2022
19+ title : " Uncorrelated random variables are not necessarily independent."
20+ in : " X"
21+ pages : " Nov 22, 2022, 06:34 AM"
22+ url : " https://x.com/StatProofBook/status/1594927275514134528"
23+
24+ proof_id : " P472"
25+ shortcut : " corr-ind"
26+ username : " JoramSoch"
27+ ---
28+
29+
30+ ** Theorem:** [ Independent] ( /D/ind ) [ random variables] ( /D/rvar ) are uncorrelated.
31+
32+
33+ ** Proof:** The [ correlation] ( /D/corr ) of two random variables is defined as:
34+
35+ $$ \label{eq:corr}
36+ \mathrm{Corr}(X,Y) = \frac{\mathrm{Cov}(X,Y)}{\sqrt{\mathrm{Var}(X)} \sqrt{\mathrm{Var}(Y)}} \; .
37+ $$
38+
39+ The [ covariance of independent random variables is zero] ( /P/cov-ind ) :
40+
41+ $$ \label{eq:cov-ind}
42+ X, Y \; \text{independent} \quad \Rightarrow \quad \mathrm{Cov}(X,Y) = 0 \; .
43+ $$
44+
45+ Thus, the correlation of independent random variables is also zero:
46+
47+ $$ \label{eq:corr-ind-qed}
48+ X, Y \; \text{independent} \quad \Rightarrow \quad \mathrm{Corr}(X,Y) = 0 \; .
49+ $$
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