Probability distribution/measurment problem
The onedimensional measure problem can described by the following requirements: Is there an illustration with the following properties:
- Positivity: for all
- Translation Invariance: for all and .
- Normality : ,
- -Additivity: if for ?
Unsolvable of Measurement Problem
[edit | edit source]The onedimensional measurement problem cannot be solved on the power set on as shown by Giuseppe Vitali in 1905, who was the first to give an example of a non-measurable subset of real numbers, see Vitali set.[1] His covering theorem is a fundamental result in measure theory.
The onedimensional measurement problem can easily be extended to -dimensional spaces; this encompasses the dimensions 1, 2 and 3, that are accessible to our spatial perception, whereby
- dimension 1 refers to length,
- dimension 2 to an area in a plane and
- dimension 3 to measurment of the volume.
Due to the fact, that the measurement problem for cannot be solved as shown by Vitali, the sigma-algebra was introduced as the domain of the measure , that replaces especially the power set as domain of the probability measure on a -algebra .
n-dimensional Case of the Measurement Problem
[edit | edit source]The measurement problem in the -dimensional case is:
Is there an measure with the following properties:
- Positivity: for all (this condition is already in the default of the image set of the figure),
- Congruence: if A and B are congruent,
- Normality: ,
- -Additivity: if for ?
References
[edit | edit source]- ↑ G. Vitali, Sul problema della misura dei gruppi di punti di una retta, Bologna, Tip. Gamberini e Parmeggiani (1905).