Measure
A Measure on (X,) is a function μ:[0,] such that the
following conditions are satisfied:

(i) μ(ϕ)=0
(ii) if Ai is a sequence of mutually disjoint sets in
i.e Aiϵ for each i=1,2,3,... and AiAj=ϕ then for
ij, μ(i=1Ai)=i=1(Ai) this is the countable
additivity property,
we must know that the measure is also finitely additive.
Measurable space
A measurable space is a pair (X,) where X is a set and is a
σ-algebra in X. whereby the elements of this algebra are called the measurable sets.
Examples
(i) the counting measure
(ii) The probability measure
(iii) the unit point mass measure.
Counter Examples
(1)The problem of measuring all bounded subsets of a line was done by G.VITALI where he
asserts that for AR, we determine for every A a positive number
μ(A) which must satisfy the following:
(i) for all x in R all AR then μ(A)=μ(Ax).
(ii) for all {AnR:Anisbounded} a disjoint sequence,
then n=1(An)=μ(n=1(An).
(iii)the μ(0,1)=1
(2)if V[0,1] is a vitali set then v is not lebesgue measurable.