Functional Analysis Lecture 4

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← Lecture 3 | Lecture 5 → Lecture Notes: Rodriguez, page 18

 

1. Normed and Banach Spaces

Recall from last time

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Baire Category Theorem

Let be a {as||complete} metric space and let be a {as||collection of closed subsets} of such that Then {ha||at least one} of the {ha||contain an open ball} {==ha||} (ie, {ha||at least one==} has {ha||an interior point}).

[!NOTE]

A set that does not contain an interior point is called nowhere dense. Sometimes when we apply this theorem, we do not need to be closed. Then the result is that their closures must contain and open ball. ie, we cannot have all be all nowhere dense.

NOTE

We can use this theorem to prove that there exists a continuous function that is nowhere differentiable

Proof (by contradiction)

Suppose BWOC that there is some collection of closed subsets of such that and all are nowhere dense.

that does not converge

we’ll show that there is a sequence in

Since contains an open ball but does not, we have . Thus there is some . Since is closed but is open, this implies that s.t. .

Now, means there exists some . And since is closed, there exists such that

Now, suppose there we have found such points. Then for each we have with such that

Since , there exists some such that

Then there exists such that

Thus, by indiction, we have found a sequence of points and such that for all ,

This sequence is Cauchy because for all , we have \begin{align} d(p_{k+1}, p_{k+\ell}) &\leq d(p_{k}, p_{k+1}) + d(p_{k+1}, p_{k+2}) + \dots + d(p_{k+\ell-1}, p_{k+\ell}) \\ &< \frac{\epsilon_{k}}{3} + \frac{\epsilon_{k+1}}{3} + \dots+\frac{\epsilon_{k+\ell-1}}{3} \\ &< \frac{\epsilon_{1}}{3^k}+\frac{\epsilon_{1}}{3^{k+1}}+\dots+\frac{\epsilon_{1}}{3^{k+\ell}} \\ &< \epsilon_{1} \sum_{n=k}^\infty \frac{1}{3^k} \\ &= \frac{\epsilon_{1}}{3^k}\left( \frac{1}{1-\frac{1}{3}} \right) \\ &= \frac{\epsilon_{1}}{2} 3^{-k+1} \end{align}$$ Since Mp \in Mp_{k} \to pk \to \infty$.

Now, for all , we have \begin{align} d(p_{k+1}, p_{k+\ell+1}) &< \epsilon_{k+1} \left[ \frac{1}{3} + \frac{1}{3^2} + \dots+\frac{1}{3^\ell} \right] \\ &< \epsilon_{k+1} \sum_{n=1}^\infty 3^{-n} \\ &= \frac{\epsilon_{k+1}}{2} \\ \implies \lim_{ \ell \to \infty } d(p_{k+1}, p_{l+\ell+1}) &=d(p_{k+1}, p) \\ &\leq \frac{\epsilon_{k+1}}{2} \\ &< \frac{\epsilon_{k}}{6} \\ \end{align}$$ So as \ell\to \inftyd(p_{k+1}, p)$$

\implies d(p_{k}, p) \leq d(p_{k}, p_{k+1}) + d(p_{k+1}, p) \leq \frac{1}{3}\epsilon + \frac{1}{6}\epsilon_{k} < \epsilon_{k}$$ ie, p \in B(p_{k}, \epsilon_{k}) = B_{k}kB_{k} \cap C_{k} = \varnothingpC_{k}p \not\in\bigcup_{k}C_{k} = M\implies \impliedby $\tag*{$\blacksquare$}

References

functional

Mentions

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Open Mapping Theorem

Let be two Banach spaces and let be surjective. Then is an open map.

ie for all open subsets , we have is open.

Proof

, then contains an open ball in centered at . Then, since is linear, we can scale everything properly to show that for any open, there exists such that

We will first prove that if

Showing that the closure of the image contains an open ball surjective means everything in gets mapped to by something in ie

So by the Baire Category Theorem, there exists some such that contains an open ball.

Now, since is a linear operator, contains an open ball. ie, contains an open ball. Equivalently, there exists some and such that .

ie, we can pick some such that such that

here to make some calculations easier later

we choose

Then If , then And this means

v =-T\left( \frac{u_{1}}{2} \right) + \frac{1}{2}(2v + v_{1}) &\in -T\left( \frac{u_{1}}{2} \right) +\overline{T\left( B\left( 0, \frac{1}{2} \right) \right)} \\ &= \overline{T\underbrace{\left( -\frac{u_{1}}{2} + B\left( 0, \frac{1}{2} \right) \right)}_{\subset B(0,1) \text{ since } u_{1} \in B(0, 1)}}\\ &\subset \overline{T(B(0,1))} \\ \end{align}

ie, (in ), we have . This implies that for all

Now we prove that .

Showing that the image contains an open ball

Let . Then . This implies there exists some such that

ie, there is some such that continuing in this manner, we obtain a sequence such that

The series is absolutely summable (since the norm of the sums are bounded). And since is Banach, this means there exists some such that

Further, by the triangle inequality, we have And we can bound this And since is a bounded linear operator (and thus continuous), we have ie, . Thus in .

Thus, if was an interior point of in the domain, then it is still an interior point in the image of .

Generalizing to any open set is open and . Then there exists some such that . And, from above, there exists some such that . ie

Suppose

B(b_{2}, \epsilon\delta) &= b_{2}+\epsilon B(0, \delta) \\ &\subset b_{2} + \epsilon T(B(0, 1)) \\ &= T(b_{1}) + \epsilon T(B(0, 1)) \\ &= T(b_{1} + \epsilon B(0, 1)) \\ &= T(b_{1} + B(0, \epsilon)) \\ &\subset T(U) \end{align}$$ Since $b_{1}+B(0, \epsilon)$ is contained in $U$. Thus we've found a ball around any $b_{2} \in T(U)$.

\tag*{$\blacksquare$}

(see open mapping theorem)

Corollary

If are Banach spaces and is a bijective bounded linear operator, then is also.

Proof

is continuous for all open, is open. And this is true by the open mapping theorem

see bijective bounded linear operators have bounded linear inverses

Corollary

If are Banach spaces, then with norm is a Banach space.

Proof

Exercise

  • just need to check all the definitions for the norm
  • check that Cauchy sequences in consist of Cauchy sequences in each of and (similar to completeness of )

see the cartesian product of banach spaces is banach

Closed Graph Theorem

If are Banach spaces and is a linear operator, then

NOTE

this may be easier to prove than proving something is a bounded linear operator. Normally, we need to show that sequences have

Proof

Proof Suppose . Let be a sequence in such that and . Then since is continuous. Thus ie is closed.

Proof Define

Note that is a Banach space since is a closed subspace of (which is Banach by the corrolary above)

Further, we have and (we can see it is bounded by the norm of as we defined above, which must also be bounded)

is one-to-one and onto (bijective). Thus is also a bounded linear operator

And so is the composition of two bounded linear operators, and is thus itself a bounded linear operator.

ie

see closed graph theorem

NOTE

Hahn Banach Theorem

See Hahn-Banach theorem

This theorem tries to answer the question

Question

Given a general, nontrivial, normed space , does ?

(recall that we defined the dual space in the last lecture, and we define these specific duals to be “functionals”)

Example

Spaces with nontrivial dual spaces

  • where for

In general, we want to know if we have elements in the dual space.

framework / axioms from set theory

Partial Order

A partial order on a set is a relation such that

  1. for all ,
  2. for all , if and then
  3. for all , if and , then

see partial order

Upper Bound

An upper bound of a set is an element such that for all .

see upper bound

Maximal Element

A maximal element of is an element such that if and

see maximal element

Similar definitions for a minimal element

Chain

If is a partially ordered set, a chain in is a set if for all we have either or

ie we can compare all the elements in the chain

see chain

Hamel basis

A Hamel basis is a linearly independent set such that every element of is a finite linear combination of elements in .

see Hamel basis

NOTE

We know from linear algebra that we can find a basis and calculate the dimension of the space. Next time, we’ll see how to apply these to infinite vector spaces.

Zorn's Lemma

If every chain in a nonempty, partially ordered set has an upper bound, then contains a maximal element.

Without Proof

see Zorn’s lemma

NOTE

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