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Homology Topological Space
Homology is the general name for a number of functors from topological spaces to abelian groups (or more generally modules over a fixed ring). It turns out that in most reasonable cases a large number of these (singular homology, cellular homology, Morse homology, simplicial homology) all coincide. There are other generalized homology theories, but I won't consider those. There are also related cohomology theories which serve the same purpose with slightly different machinery.
In an intuitive sense, homology measures “holes” in topological spaces. The idea is that we want to measure the topology of a space by looking at sets which have no boundary, but are not the boundary of something else. These are things that have wrapped around “holes” in our topological space, allowing us to detect those “holes.” Here I don't mean boundary in the formal topological sense, but in an intuitive sense. Thus a loop has no boundary as I mean here, even though it does in the general topological definition. You will see the formal definition below.
Perhaps the simplest form of homology to visualize, and to work with in practice, is simplicial homology. It is based on computing the homology groups of a simplicial complex (generally a finite one). However, it is generally nontrivial to show that a space of interest is homeomorphic to a simplicial complex, and it can also be difficult to apply more advanced methods such as spectral sequences when working with simplicial homology. Singular homology is similar: it is in some sense a continuous version of simplicial homology, and it does not suffer from these problems.
Singular homology is defined as follows: We define the standard
-simplex to be the subset
A singular
-simplex in a topological space
is a continuous map
.
A singular
-chain is a formal linear combination
(with integer
coefficients) of a
finite number of singular
-simplices. The
-chains in
form a group
under formal addition,
denoted
.
Next, we define a boundary operator
. Intuitively, this is just taking
all the faces
of the simplex, and considering their images
as simplices of one lower dimension
with the appropriate sign to keep orientations
correct. Formally, we let
be the vertices
of
, pick an order on the vertices of the
simplex, and let
be the face spanned by
all vertices other than
, identified
with the
-simplex by mapping
the vertices
except for
, in that order,
to the vertices of the
-simplex in the order you have chosen.
Then if
is an
-simplex,
is the map
, restricted
to the face
, made into a singular
-simplex by the identification with the standard
-simplex I defined above.
Then
It is a simple
exercise in reindexing to check that
.
For example, if
is a singular
-simplex (that is a path), then
.
That is, it is the difference of the endpoints
(thought of as 0-simplices).
Now, we are finally in a position to define homology groups. Let
, the
homology
group of
be the quotient
The association
is a functor from topological spaces to abelian groups, and the maps
induced
by a map
are simply those induced by composition
of an singular
-simplex with the map
.
From this definition, it is not at all clear that homology is at all computable. But, in fact, homology is often much more easily computed than homotopy groups or most other topological invariants. Important tools in the calculation of homology are long exact sequences, the Mayer-Vietoris sequence, cellular homology, spectral sequences, and homotopy invariance.
Some examples of homology groups:
Consider the space
, real
projective space, which is
modulo the relation
that
for every nonzero
. For
even,