Discrepancy theory
Theory of irregularities of distribution
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Through Measure (mathematics) and Combinatorics
Discrepancy theory can be described as the study of inevitable irregularities of distributions, in measure-theoretic and combinatorial settings. Just as Ramsey theory elucidates the impossibility of total disorder, discrepancy theory studies the deviations from total uniformity.
A significant event in the history of discrepancy theory was the 1916 paper of Weyl on the uniform distribution of sequences in the unit interval.
Theorems
Discrepancy theory is based on the following classic theorems:
- Geometric discrepancy theory
- The theorem of van Aardenne-Ehrenfest
- Arithmetic progressions (Roth, Sarkozy, Beck, Matousek & Spencer)
- Beck–Fiala theorem
- Six Standard Deviations Suffice (Spencer)
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Major open problems
The unsolved problems relating to discrepancy theory include:
- Axis-parallel rectangles in dimensions three and higher (folklore)
- Komlós conjecture
- Heilbronn triangle problem on the minimum area of a triangle determined by three points from an n-point set
Applications
Applications for discrepancy theory include:
- Numerical integration: Monte Carlo methods in high dimensions
- Computational geometry: Divide-and-conquer algorithm
- Image processing: Halftoning
- Random trial formulation: Randomized controlled trial

