In mathematics, more precisely in measure theory, a measure on the real line is called a discrete measure (in respect to the Lebesgue measure) if it is concentrated on an at most countable set. The support need not be a discrete set. Geometrically, a discrete measure (on the real line, with respect to Lebesgue measure) is a collection of point masses.
\mu
\nu
(X,\Sigma)
\mu
\nu
S\subsetX
\Sigma
\{s\}
s\inS
S
\nu(S)=0
\mu(X\setminusS)=0.
A measure
\mu
(X,\Sigma)
\nu
\mu
\mu=
infty | |
\sum | |
i=1 |
ai
\delta | |
si |
ai\inR>0
\delta | |
si |
S=\{si\}i\inN
\delta | |
si |
(X)=\begin{cases} 1&ifsi\inX\ 0&ifsi\not\inX\ \end{cases}
i\inN
One can also define the concept of discreteness for signed measures. Then, instead of conditions 2 and 3 above one should ask that
\nu
S
\mu
X\backslashS.
A measure
\mu
[0,infty]
s1,s2,...
such that
\mu(R\backslash\{s1,s2,...\})=0.
\nu
\delta.
\delta(R\backslash\{0\})=0
\delta(\{0\})=1.
More generally, one may prove that any discrete measure on the real line has the form
\mu=\sumiai
\delta | |
si |
s1,s2,...
a1,a2,...
[0,infty]