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Sigmafields

A sigma-field, or sigma-algebra, on a set Omega is a collection F of subsets of Omega that satisfies three conditions: Omega is in F; whenever A is in F, its complement Omega \ A is in F; and whenever A1, A2, … are in F, the union A1 ∪ A2 ∪ … is in F. From these it follows that the empty set is in F and F is closed under complements and countable unions, hence under countable intersections as well.

The sigma-field generated by a collection C of subsets of Omega, denoted σ(C), is the smallest sigma-field

Examples: The power set P(Omega) is a sigma-field. The trivial sigma-field {∅, Omega} is always a sigma-field.

Properties: Sigma-fields form a lattice under inclusion; the intersection of any collection of sigma-fields is a

Relation to probability and analysis: A probability measure P is defined on a sigma-field F on Omega,

containing
C.
Equivalently,
σ(C)
is
the
intersection
of
all
sigma-fields
that
contain
C.
If
C
partitions
Omega
into
atoms,
σ(C)
consists
of
all
unions
of
these
atoms.
On
the
real
line
R,
the
Borel
sigma-field
is
generated
by
the
open
sets.
If
C
is
finite,
σ(C)
is
finite
and
equals
the
finite-field
generated
by
C,
since
only
finitely
many
unions
of
sets
can
occur.
sigma-field,
and
the
sigma-field
generated
by
a
collection
is
the
intersection
of
all
sigma-fields
containing
that
collection.
Not
every
subset
of
Omega
is
measurable
with
respect
to
a
given
sigma-field;
measurability
depends
on
membership
in
F.
assigning
probabilities
to
events
in
F
and
respecting
countable
additivity.
Measurable
functions,
such
as
random
variables,
are
defined
relative
to
(Omega,
F)
and
a
target
measurable
space.