In this post we give several forms of Masher's theorem by studying group algebra, which eventually becomes a study of semisimple rings. One can consider this post a chaotic evil introduction to representation theory or something.

Read moreFirst we recall some backgrounds. Suppose \(A\) is a ring with multiplicative identity
\(1_A\). A **left module**
of \(A\) is an additive abelian group
\((M,+)\), together with an ring
operation \(A \times M \to M\) such
that \[
\begin{aligned}
(a+b)x &= ax+bx \\
a(x+y) &= ax+ay \\
a(bx) &= (ab)x \\
1_Ax &= x
\end{aligned}
\] for \(x,y \in M\) and \(a,b \in A\). As a corollary, we see \((0_A+0_A)x=0_Ax=0_Ax+0_Ax\), which shows
\(0_Ax=0_M\) for all \(x \in M\). On the other hand, \(a(x-x)=0_M\) which implies \(a(-x)=-(ax)\). We can also define right
\(A\)-modules but we are not discussing
them here.

Let \(S\) be a subset of \(M\). We say \(S\) is a **basis** of \(M\) if \(S\) generates \(M\) and \(S\) is linearly independent. That is, for
all \(m \in M\), we can pick \(s_1,\cdots,s_n \in S\) and \(a_1,\cdots,a_n \in A\) such that \[
m = a_1s_1+a_2s_2+\cdots+a_ns_n,
\] and, for any \(s_1,\cdots,s_n \in
S\), we have \[
a_1s_1+a_2s_2+\cdots+a_ns_n=0_M \implies a_1=a_2=\cdots=a_n=0_A.
\] Note this also shows that \(0_M\notin S\) (what happens if \(0_M \in S\)?). We say \(M\) is **free** if it has a
basis. The case when \(M\) or \(A\) is trivial is excluded.

If \(A\) is a field, then \(M\) is called a **vector
space**, which has no difference from the one we learn in linear
algebra and functional analysis. Mathematicians in functional analysis
may be interested in the cardinality of a vector space, for example,
when a vector space is of finite dimension, or when the basis is
countable. But the basis does not come from nowhere. In fact we can
prove that vector spaces have basis, but modules are not so lucky. \(\def\mb{\mathbb}\)

First of all let's consider the cyclic group \(\mb{Z}/n\mb{Z}\) for \(n \geq 2\). If we define \[
\begin{aligned}
\mb{Z} \times \mb{Z}/n\mb{Z} &\to \mb{Z}/n\mb{Z} \\
(m,k+n\mb{Z}) &\mapsto mk+n\mb{Z}
\end{aligned}
\] which is actually \(m\)
copies of an element, then we get a module, which will be denoted by
\(M\). For any \(x=k+n\mb{Z} \in M\), we see \(nk+n\mb{Z}=0_M\). Therefore for
**any** subset \(S \subset
M\), if \(x_1,\cdots,x_k \in
M\), we have \[
nx_1+nx_2+\cdots+nx_k = 0_M,
\] which gives the fact that \(M\) has no basis. In fact this can be
generalized further. If \(A\) is a ring
but not a field, let \(I\) be a
nontrivial proper ideal, then \(A/I\)
is a module that has no basis.

Following \(\mb{Z}/n\mb{Z}\) we also
have another example on finite order. Indeed, **any finite abelian
group is not free as a module over \(\mb{Z}\).** More generally,

Let \(G\) be a abelian group, and \(G_{tor}\) be its torsion subgroup. If \(G_{tor}\) is non-trival, then \(G\) cannot be a free module over \(\mb{Z}\).

Next we shall take a look at infinite rings. Let \(F[X]\) be the polynomial ring over a field \(F\) and \(F'[X]\) be the polynomial sub-ring that have coefficient of \(X\) equal to \(0\). Then \(F[X]\) is a \(F'[X]\)-module. However it is not free.

Suppose we have a basis \(S\) of \(F[X]\), then we claim that \(|S|>1\). If \(|S|=1\), say \(P \in S\), then \(P\) cannot generate \(F[X]\) since if \(P\) is constant then we cannot generate a polynomial contains \(X\) with power \(1\); If \(P\) is not constant, then the constant polynomial cannot be generate. Hence \(S\) contains at least two polynomials, say \(P_1 \neq 0\) and \(P_2 \neq 0\). However, note \(-X^2P_1 \in F'[X]\) and \(X^2P_2 \in F'[X]\), which gives \[ (X^2P_2)P_1-(X^2P_1)P_2=0. \] Hence \(S\) cannot be a basis.

I hope those examples have convinced you that basis is not a universal thing. We are going to prove that every vector space has a basis. More precisely,

Let \(V\) be a nontrivial vector space over a field \(K\). Let \(\Gamma\) be a set of generators of \(V\) over \(K\) and \(S \subset \Gamma\) is a subset which is linearly independent, then there exists a basis of \(V\) such that \(S \subset B \subset \Gamma\).

Note we can always find such \(\Gamma\) and \(S\). For the extreme condition, we can pick \(\Gamma=V\) and \(S\) be a set containing any single non-zero element of \(V\). Note this also gives that we can generate a basis by expanding any linearly independent set. The proof relies on a fact that every non-zero element in a field is invertible, and also, Zorn's lemma. In fact, axiom of choice is equivalent to the statement that every vector has a set of basis. The converse can be found here. \(\def\mfk{\mathfrak}\)

*Proof.* Define \[
\mfk{T} =\{T \subset \Gamma:S \subset T, \text{ $T$ is linearly
independent}\}.
\] Then \(\mfk{T}\) is not empty
since it contains \(S\). If \(T_1 \subset T_2 \subset \cdots\) is a
totally ordered chain in \(\mfk{T}\),
then \(T=\bigcup_{i=1}^{\infty}T_i\) is
again linearly independent and contains \(S\). To show that \(T\) is linearly independent, note that if
\(x_1,x_2,\cdots,x_n \in T\), we can
find some \(k_1,\cdots,k_n\) such that
\(x_i \in T_{k_i}\) for \(i=1,2,\cdots,n\). If we pick \(k = \max(k_1,\cdots,k_n)\), then \[
x_1,x_2,\cdots,x_n \in \bigcup_{i=1}^{n}T_{k_i}=T_k.
\] But we already know that \(T_k\) is linearly independent, so \(a_1x_1+\cdots+a_nx_n=0_V\) implies \(a_1=\cdots=a_n=0_K\).

By Zorn's lemma, let \(B\) be the maximal element of \(\mfk{T}\), then \(B\) is also linearly independent since it is an element of \(\mfk{T}\). Next we show that \(B\) generates \(V\). Suppose not, then we can pick some \(x \in \Gamma\) that is not generated by \(B\). Define \(B'=B \cup \{x\}\), we see \(B'\) is linearly independent as well, because if we pick \(y_1,y_2,\cdots,y_n \in B\), and if \[ \sum_{k=1}^{n}a_ky_k+bx=0_V, \] then if \(b \neq 0\) we have \[ x = -\sum_{k=1}^{n}b^{-1}a_ky_k \in B, \] contradicting the assumption that \(x\) is not generated by \(B\). Hence \(b=0_K\). However, we have proved that \(B'\) is a linearly independent set containing \(B\) and contained in \(S\), contradicting the maximality of \(B\) in \(\mfk{T}\). Hence \(B\) generates \(V\). \(\square\)

There are three theorems about Banach spaces that occur frequently in the crux of functional analysis, which are called the 'big three':

- The Hahn-Banach Theorem
- The Banach-Steinhaus Theorem
- The Open Mapping Theorem

The incoming series of blog posts is intended to offer a self-read friendly explanation with richer details. Some basic analysis and topology backgrounds are required.

The term 'category' is due to Baire, who developed the category
theorem afterwards. Let \(X\) be a
topological space. A set \(E \subset
X\) is said to be *nowhere dense* if \(\overline{E}\) has empty interior, i.e.
\(\text{int}(\overline{E})=
\varnothing\).

There are some easy examples of nowhere dense sets. For example, suppose \(X=\mathbb{R}\), equipped with the usual topology. Then \(\mathbb{N}\) is nowhere dense in \(\mathbb{R}\) while \(\mathbb{Q}\) is not. It's trivial since \(\overline{\mathbb{N}}=\mathbb{N}\), which has empty interior. Meanwhile \(\overline{\mathbb{Q}}=\mathbb{R}\). But \(\mathbb{R}\) is open, whose interior is itself. The category is defined using nowhere dense set. In fact,

- A set \(S\) is
of the first categoryif \(S\) is a countable union of nowhere dense sets.- A set \(T\) is
of the second categoryif \(T\) is not of the first category.

In this blog post, we consider two cases: BCT in complete metric space and in locally compact Hausdorff space. These two cases have nontrivial intersection but they are not equal. There are some complete metric spaces that are not locally compact Hausdorff.

There are some classic topological spaces, for example \(\mathbb{R}^n\), are both complete metric space and locally compact Hausdorff. If a locally compact Hausdorff space happens to be a topological vector space, then this space has finite dimension. Also, a topological vector space has to be Hausdorff.

By a Baire space we mean a

topological space\(X\) such thatthe intersection of every countable collection of dense open subsetsof \(X\) is also dense in \(X\).

Baire category states that

(BCT 1)Every complete metric space is a Baire space.

(BCT 2)Every locally compact Hausdorff space is a Baire space.

By taking the complement of the definition, we can see that,
**every Baire space is not of the first category**.

Suppose we have a sequence of sets \(\{X_n\}\) where \(X_n\) is dense in \(X\) for all \(n>0\), then \(X_0=\cap_n X_n\) is also dense in \(X\). Notice then \(X_0^{c} = \cup_n X_n^c\), a nowhere dense set and a countable union of nowhere dense sets, i.e. of the first category.

Let \(X\) be the given complete metric space or locally Hausdorff space, and \(\{X_n\}\) a countable collection of open subsets of \(X\). Pick an arbitrary open subsets of \(X\), namely \(A_0\) (this is possible due to the topology defined on \(X\)). To prove that \(\cap_n V_n\) is dense, we have to show that \(A_0 \cap \left(\cap_n V_n\right) \neq \varnothing\). This follows the definition of denseness. Typically we have

A subset \(A\) of \(X\) is dense if and only if \(A \cap U \neq \varnothing\) for all nonempty open subsets \(U\) of \(X\).

We pick a sequence of nonempty open sets \(\{A_n\}\) inductively. With \(A_{n-1}\) being picked, and since \(V_n\) is open and dense in \(X\), the intersection \(V_n \cap A_{n-1}\) is nonempty and open. \(A_n\) can be chosen such that \[ \overline{A}_n \subset V_n \cap A_{n-1} \] For BCT 1, \(A_n\) can be chosen to be open balls with radius \(< \frac{1}{n}\); for BCT 2, \(A_n\) can be chosen such that the closure is compact. Define \[ C = \bigcap_{n=1}^{\infty}\overline{A}_n \] Now, if \(X\) is a locally compact Hausdorff space, then due to the compactness, \(C\) is not empty, therefore we have \[ \begin{cases} K \subset A_0 \\ K \subset V_n \quad(n \in \mathbb{N}) \end{cases} \] which shows that \(A_0 \cap V_n \neq \varnothing\). BCT 2 is proved.

For BCT 1, we cannot follow this since it's not ensured that \(X\) has the Heine-Borel property, for example when \(X\) is the Hilbert space (this is also a reason why BCT 1 and BCT 2 are not equivalent). The only tool remaining is Cauchy sequence. But how and where?

For any \(\varepsilon > 0\), we have some \(N\) such that \(\frac{1}{N} < \varepsilon\). For all \(m>n>N\), we have \(A_m \subset A_n\subset A_N\), therefore the centers of \(\{A_n\}\) form a Cauchy sequence, converging to some point of \(K\), which implies that \(K \neq \varnothing\). BCT 1 follows.

BCT will be used directly in the big three. It can be considered as
the origin of them. But there are many other applications in different
branches of mathematics. The applications shown below are in the same
pattern: **if it does not hold, then we have a Baire space of the
first category, which is not possible.**

\(\mathbb{R}\) is uncountable

Suppose \(\mathbb{R}\) is countable, then we have \[ \mathbb{R}=\bigcup_{n=1}^{\infty}\{x_n\} \] where \(x_n\) is a real number. But \(\{x_n\}\) is nowhere dense, therefore \(\mathbb{R}\) is of the first category. A contradiction.

Suppose that \(f\) is an entire function, and that in every power series \[ f(z)=\sum_{n=1}^{\infty}c_n(z-a)^n \] has at least one coefficient is \(0\), then \(f\) is a polynomial (there exists a \(N\) such that \(c_n=0\) for all \(n>N\)).

You can find the proof here. We are using the fact that \(\mathbb{C}\) is complete.

An infinite dimensional Banach space \(B\) has no countable basis

Assume that \(B\) has a countable basis \(\{x_1,x_2,\cdots\}\) and define \[ B_n=\text{span}\{x_1,x_2,\cdots,x_n\} \] It can be easily shown that \(B_n\) is nowhere dense. In this sense, \(B=\cup_n B_n\). A contradiction since \(B\) is a complete metric space.

Since there is no strong reason to write more posts on this topic, i.e. the three fundamental theorems of linear functional analysis, I think it's time to make a list of the series. It's been around half a year.

- The Big Three Pt. 1 - Baire Category Theorem Explained
- The Big Three Pt. 2 - The Banach-Steinhaus Theorem
- The Big Three Pt. 3 - The Open Mapping Theorem (Banach Space)
- The Big Three Pt. 4 - The Open Mapping Theorem (F-Space)
- The Big Three Pt. 5 - The Hahn-Banach Theorem (Dominated Extension)
- The Big Three Pt. 6 - Closed Graph Theorem with Applications