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Calculus of covariances

Collected here are some identites useful in calculations of covariances between random quantities. Definition:

cov$\displaystyle (a,b) = {\mathfrak{M}}[(a-{\mathfrak{M}}[a])(b-{\mathfrak{M}}[b])] ={\mathfrak{M}}[a b]-{\mathfrak{M}}[a]{\mathfrak{M}}[b],$ (109)

where the $ \mathfrak{M}[\ ]$ is a mathematical expectation operator. By definition of variance $ {\mathfrak{D}}[a]$,

$\displaystyle {\mathfrak{D}}[a] =$   cov$\displaystyle (a,a)$ (110)

The following identities are useful :

cov$\displaystyle (b,a) =$cov$\displaystyle (a,b)$ (111)

cov$\displaystyle (a,\gamma b) = \gamma$   cov$\displaystyle (a,b)$ (112)

cov$\displaystyle (a,c+d) =$   cov$\displaystyle (a,c)+$cov$\displaystyle (a,d)$ (113)



Mikhail Kopytine 2001-08-09