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(i) Prove directly that if \(X\) is a Banach space and \(f\) is a nonzero linear functional on \(X\), then \(f\) is an open map from \(X\) onto the scalars. (ii) Let the operator \(T\) from \(c_{0}\) into \(c_{0}\) be defined by \(T\left(\left(x_{i}\right)\right)=\left(\frac{1}{i} x_{i}\right) .\) Is \(T\) a bounded linear operator? Is \(T\) an open map? Does \(T\) map \(c_{0}\) onto a dense subset in \(c_{0} ?\) Hint: (i): If \(f(x)=\delta>0\) for some \(x \in B_{X}^{O}\), then \((-\delta, \delta) \subset f\left(B_{X}^{O}\right)\). (ii): Yes. No. Yes (use finitely supported vectors).

Short Answer

Expert verified
(i) \(f\) is an open map because \((-\delta, \delta) \subset f\left(B_{X}^{O}\right)\). (ii) \(T\) is a bounded linear operator, not an open map, but maps \(c_{0}\) onto a dense subset in \(c_{0}\).

Step by step solution

01

Define Banach Space and Nonzero Linear Functional

Let \(X\) be a Banach space and \(f\) a nonzero linear functional on \(X\). We need to prove that \(f\) is an open map.
02

Use the Given Hint to Work with Unit Ball

According to the hint, consider \(B_{X}^{O}\), the open unit ball in \(X\). Assume \(f(x) = \delta > 0\) for some \(x \in B_{X}^{O}\).
03

Establish Inclusion of Intervals

Since \(f(x) = \delta\) and \(f\) is linear, for any \(y \in B_{X}^{O}\), the scalar values \(f\) takes on \( B_{X}^{O} \) must include the interval \((-\delta, \delta)\).
04

Conclude Open Mapping Properties

Given \(f(B_{X}^{O})\) includes the interval \((- \delta, \delta)\), \(f\) maps open sets to open sets, hence it is an open map.
05

Define the Operator for Part (ii)

Consider the operator \(T: c_{0} \rightarrow c_{0}\) defined by \(T((x_{i})) = \left(\frac{1}{i} x_{i}\right)\).
06

Verify Linearity and Boundedness

To check if \(T\) is linear, observe that \(T\left(\alpha (x_{i}) + \beta (y_{i})\right) = \left(\frac{1}{i} (\alpha x_{i} + \beta y_{i})\right)\) holds, hence \(T\) is linear. It is bounded because \(\|T((x_{i}))\|_{\infty} = \sup\limits_{i} \left|\frac{1}{i} x_{i}\right| \leq \sup\limits_{i} |x_{i}| = \| (x_{i}) \|_{\infty} \).
07

Assess Open Mapping Property

Operator \(T\) is not an open map because it does not map open balls onto open subsets. For example, mapping the unit ball under \(T\) does not create an open set in \(c_{0}\).
08

Determine Density of the Image

To determine if \(T\) maps \(c_{0}\) to a dense subset in \(c_{0}\), note that any sequence in \(c_{0}\) can be approximated by finitely supported sequences. Thus, \(T(c_{0})\) is indeed dense in \(c_{0}\).

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Linear Functional
A linear functional is a special type of linear map that takes a vector from a vector space and returns a scalar. Given a vector space \(X\) over a field \(F\) (usually either real or complex numbers), a linear functional \(f\) on \(X\) is a function \(f: X \rightarrow F\) that is linear. This means that for any vectors \(x, y i X\) and scalar \(\beta i F\), the following properties hold true:
  • \(f(x + y) = f(x) + f(y)\)
  • \(f(\beta x) = \beta f(x)\)
Linear functionals are important because they help in analyzing vector spaces by reducing multidimensional problems to one dimension. They play a key role in functional analysis, particularly in the study of Banach and Hilbert spaces.
Open Mapping Theorem
The Open Mapping Theorem is a fundamental result in functional analysis. It states that if \(X\) and \(Y\) are Banach spaces and \(T: X \rightarrow Y\) is a surjective bounded linear operator, then \(T\) is an open map. This means it maps open sets to open sets. In simple terms, if \(T\) is surjective and continuous, then it 'spreads out' the set it maps, without 'compressing' any part of it. This theorem has many consequences and applications including showing that continuous, surjective linear operators between Banach spaces map 'big' sets to 'big' sets, preserving the structure of the open sets.
Bounded Linear Operator
A bounded linear operator \(T\) between two normed spaces \(X\) and \(Y\) is a linear map that satisfies a specific 'boundedness' condition. Formally, \(T\) is bounded if there exists a constant \(C i \text{R}\) such that for all \(x i X\), \(orm{T(x)} \times Y \times C \times orm{x}\). This concept means that \(T\) does not 'stretch' vectors too much and ensures the operator's behavior is controlled and predictable. Bounded linear operators are essential because unbounded operators might lead to undefined or infinite results, which are usually not desirable in functional analysis.
Density in Topological Spaces
A subset \(A\) of a topological space \(X\) is dense in \(X\) if every point in \(X\) is either in \(A\) or is arbitrarily close to a point in \(A\). Formally, the closure of \(A\), denoted \(\bar{A}\), is equal to \(X\). In simpler terms, this means for any point in \(X\), no matter where you are, no matter how small the neighborhood around that point you choose, there will be at least one point from \(A\) within that neighborhood. This concept plays an important role in approximation theory and analysis, providing a way to understand and work with spaces through their dense subsets.

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Most popular questions from this chapter

We have \(\|T\|=\left\|T^{*}\right\|\) for a bounded linear operator on a Banach space, so if for a sequence of operators \(T_{n}\) we have \(\left\|T_{n}\right\| \rightarrow 0\), then \(\left\|T_{n}^{*}\right\| \rightarrow\) 0\. Find an example of a sequence of operators \(T_{n}\) on a Banach space \(X\) such that \(\left\|T_{n}(x)\right\| \rightarrow 0\) for every \(x \in X\) but it is not true that \(\left\|T_{n}^{*}\left(x^{*}\right)\right\| \rightarrow 0\) for every \(x^{*} \in X^{*}\). Hint: Let \(T_{n}(x)=\left(x_{n}, x_{n+1}, \ldots\right)\) in \(\ell_{2}\). Then \(T_{n}^{*}(x)=\left(0, \ldots, 0, x_{1}, x_{2}, \ldots\right)\), where \(x_{1}\) is on the \(n\) -th place.

Let \(X\) be a normed space with two norms \(\|\cdot\|_{1}\) and \(\|\cdot\|_{2}\) such that \(X\) in both of them is a complete space. Assume that \(\|\cdot\|_{1}\) is not equivalent to \(\|\cdot\|_{2}\). Let \(I_{1}\) be the identity map from \(\left(X,\|\cdot\|_{1}\right)\) onto \(\left(X,\|\cdot\|_{2}\right)\) and \(I_{2}\) be the identity map from \(\left(X,\|\cdot\|_{2}\right)\) onto \(\left(X,\|\cdot\|_{1}\right) .\) Show that neither \(I_{1}\) nor \(I_{2}\) are continuous. Hint: The Banach open mapping theorem.

Show that \(c^{*}\) is isometric to \(\ell_{1}\). Hint: We observe that \(c=c_{0} \oplus \operatorname{span}\\{e\\}\), where \(e=(1,1, \ldots)\) (express \(x=\left(\xi_{i}\right) \in c\) in the form \(x=\xi_{0} e+x_{0}\) with \(\xi_{0}=\lim _{i \rightarrow \infty}\left(\xi_{i}\right)\) and \(x_{0} \in\) \(\left.c_{0}\right)\). If \(u \in c^{*}\), put \(v_{0}^{\prime}=u(e)\) and \(v_{i}=u\left(e_{i}\right)\) for \(i \geq 1 .\) Then we have \(u(x)=u\left(\xi_{0} e\right)+u\left(x_{0}\right)=\xi_{0} v_{0}^{\prime}+\sum_{i=1}^{\infty} v_{i}\left(\xi_{i}-\xi_{0}\right)\) and \(\left(v_{1}, v_{2}, \ldots\right) \in \ell_{1}\) as in Proposition 2.14. Put \(\tilde{u}=\left(v_{0}, v_{1}, \ldots\right)\), where \(v_{0}=v_{0}^{\prime}-\sum_{i=1}^{\infty} v_{i}\), and write \(\tilde{x}=\left(\xi_{0}, \xi_{1}, \ldots\right) .\) We have \(u(x)=\xi_{0} v_{0}+\sum_{i=1}^{\infty} v_{i} \xi_{i}=\tilde{u}(\tilde{x})\) Conversely, if \(\tilde{u} \in \ell_{1}\), then the above rule gives a continuous linear functional \(u\) on \(c\) with \(\|u\| \leq\|\tilde{u}\|\), because \(|\tilde{u}(\tilde{x})| \leq\left(\sum_{i=0}^{\infty}\left|v_{i}\right|\right) \sup _{i \geq 0}\left|\xi_{i}\right|=\) \(\left|\tilde{u}\left\|\sup _{i \geq 0}\left|\xi_{i}\right|=\right\| \tilde{u}\left\|_{1}\right\| x \|_{\infty} .\right.\) The inequality \(\|\tilde{u}\| \leq\|u\|\) follows like this: Let \(\xi_{i}\) be such that \(\left|v_{i}\right|=\xi_{i} v_{i}\) if \(v_{i} \neq 0\) and \(\xi_{i}=1\) otherwise, \(i=0,1, \ldots\) Set \(x^{n}=\left(\xi_{1}, \ldots, \xi_{n}, \xi_{0}, \xi_{0}, \ldots\right) .\) Then \(\left\|x^{n}\right\|_{\infty}=1\) and \(\left|u\left(x^{n}\right)\right|=\left|\tilde{u}\left(\tilde{x}^{n}\right)\right| \geq\left|v_{0}\right|+\sum_{i=1}^{n}\left|v_{i}\right|-\sum_{i=n+1}^{\infty}\left|v_{i}\right| .\) Since \(\left|u\left(x^{n}\right)\right| \leq\|u\|\), we have \(\|u\| \geq\left|v_{0}\right|+\sum_{i=1}^{n}\left|v_{i}\right|-\sum_{i=n+1}^{\infty}\left|v_{i}\right| .\) By letting \(n \rightarrow \infty\), we get \(\|\tilde{u}\| \leq\|u\|\).

Let \(X, Y\) be Banach spaces, \(T \in \mathcal{B}(X, Y)\). Show that if \(T\) is one-to-one and \(B_{Y}^{O} \subset T\left(B_{X}\right) \subset B_{Y}\), then \(T\) is an isometry onto \(Y\). Hint: Since \(B_{Y}^{O} \subset T\left(B_{X}\right), T\) is onto (Exercise \(\left.2.29\right)\) and hence invertible. From \(T\left(B_{X}\right) \subset B_{Y}\) we get \(\|T\| \leq 1\). Assume that there is \(x \in S_{X}\) such that \(\|T(x)\|<\|x\| .\) Pick \(\delta>1\) such that \(\delta\|T(x)\|<1 .\) Then \(T(\delta x) \in B_{Y}^{O} \subset\) \(T\left(B_{X}\right)\). Thus, there must be \(z \in B_{X}\) such that \(T(z)=T(\delta x)\), but it cannot be \(\delta x \notin B_{X}\), a contradiction with \(T\) being one-to-one.

If \(X\) is an infinite-dimensional Banach space, show that there are convex sets \(C_{1}\) and \(C_{2}\) such that \(C_{1} \cup C_{2}=X, C_{1} \cap C_{2}=\emptyset_{1}\) and both \(C_{1}\) and \(C_{2}\) are dense in \(X\). Hint: Take a discontinuous functional \(f\) on \(X\) (Exercise 2.3), define \(C_{1}=\) \(\\{x ; f(x) \geq 0\\}\) and \(C_{2}=\\{x ; f(x)<0\\}\), and use Exercise 2.4.

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