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A (concrete) Boolean algebra is a pair , where X is a set, and
is a collection of subsets of X which contain the empty set
, and which is closed under unions
, intersections
, and complements
. The subset relation
also gives a relation on
. Because the
is concretely represented as subsets of a space X, these relations automatically obey various axioms, in particular, for any
, we have:
is a partial ordering on
, and A and B have join
and meet
.
- We have the distributive laws
and
.
is the minimal element of the partial ordering
, and
is the maximal element.
and
.
(More succinctly: is a lattice which is distributive, bounded, and complemented.)
We can then define an abstract Boolean algebra to be an abstract set
with the specified objects, operations, and relations that obey the axioms 1-4. [Of course, some of these operations are redundant; for instance, intersection can be defined in terms of complement and union by de Morgan's laws. In the literature, different authors select different initial operations and axioms when defining an abstract Boolean algebra, but they are all easily seen to be equivalent to each other. To emphasise the abstract nature of these algebras, the symbols
are often replaced with other symbols such as
.]
Clearly, every concrete Boolean algebra is an abstract Boolean algebra. In the converse direction, we have Stone’s representation theorem (see below), which asserts (among other things) that every abstract Boolean algebra is isomorphic to a concrete one (and even constructs this concrete representation of the abstract Boolean algebra canonically). So, up to (abstract) isomorphism, there is really no difference between a concrete Boolean algebra and an abstract one.
Now let us turn from Boolean algebras to -algebras.
A concrete -algebra (also known as a measurable space) is a pair
, where X is a set, and
is a collection of subsets of X which contains
and are closed under countable unions, countable intersections, and complements; thus every concrete
-algebra is a concrete Boolean algebra, but not conversely. As before, concrete
-algebras come equipped with the structures
which obey axioms 1-4, but they also come with the operations of countable union
and countable intersection
, which obey an additional axiom:
5. Any countable family of elements of
has supremum
and infimum
.
As with Boolean algebras, one can now define an abstract -algebra to be a set
with the indicated objects, operations, and relations, which obeys axioms 1-5. Again, every concrete
-algebra is an abstract one; but is it still true that every abstract
-algebra is representable as a concrete one?
The answer turns out to be no, but the obstruction can be described precisely (namely, one needs to quotient out an ideal of “null sets” from the concrete -algebra), and there is a satisfactory representation theorem, namely the Loomis-Sikorski representation theorem (see below). As a corollary of this representation theorem, one can also represent abstract measure spaces
(also known as measure algebras) by concrete measure spaces,
, after quotienting out by null sets.
In the rest of this post, I will state and prove these representation theorems. They are not actually used directly in the rest of the course (and they will also require some results that we haven’t proven yet, most notably Tychonoff’s theorem), and so these notes are optional reading; but these theorems do help explain why it is “safe” to focus attention primarily on concrete -algebras and measure spaces when doing measure theory, since the abstract analogues of these mathematical concepts are largely equivalent to their concrete counterparts. (The situation is quite different for non-commutative measure theories, such as quantum probability, in which there is basically no good representation theorem available to equate the abstract with the classically concrete, but I will not discuss these theories here.)

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