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Topologies vs Measure Theory’s Sigma-Algebras

Topologies and measure theory’s sigma-algebras look superficially similar, but the differences in their defining axioms lead to differences in their resulting study. In this post, we write this out to understand this better.

We lay the similarities and differences out in a chart to better clarify this situation:

Contains:TopologySigma-Algebra
Empty set and whole setYesYes
Finite unionYesYes
Countable unionYesYes
Arbitrary unionYesNo
Finite intersectionYesYes
Countable intersectionNoYes
Arbitrary intersectionNoNo
ComplementNoYes

As we can see, the differences are in arbitrary union (topology), countable intersection (sigma-algebra), and complement (sigma-algebra.) Thus, consider a structure that is defined by containing:

  1. Empty set and whole set
  2. Finite union
  3. Countable union
  4. Finite intersection

Or, more concisely:

  1. Empty set and whole set
  2. Countable union
  3. Finite intersection

This is exactly the “middle ground” or “intersection” between topologies and sigma-algebras. In fact, this is true in a precise sense: the intersection of the classes of topologies and sigma-algebras is exactly the class of these structures.

As this answer points out, the “Epsilon of Room” document by Terence Tao delves further into the relationship between these two concepts, mentioning the Borel algebra construction linking them. I would need to learn more to understand those connections.

Also, is there a standard name for this “common ground” structure? The concept of a \pi-system covers only finite intersections, while the concept of a \lambda-system requires complement and disjoint unions. However, there may be some logical implications that allow a related concept to work, since as stated in this Wikipedia article any family that is both a \pi-system and a \lambda-system is also a sigma-algebra, which seems much richer at first glance.

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