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Let \(X\) be a Banach space and \(G\) be a subspace of \(X\) that is a \(G_{\delta}\) set in \(X\). Show that \(G\) is closed in \(X\). Hint: Let \(S=\bar{G} \backslash G\), where \(\bar{G}\) denotes the closure of \(G .\) Since \(G\) is a \(G_{\delta}\) set in \(X, G\) is \(G_{\delta}\) in \(\bar{G}\). Hence \(G=\bigcap G_{n}\), where \(G_{n}\) are open subsets in \(\bar{G}\). Therefore, \(S=\bigcup\left(\bar{G} \backslash G_{n}\right)\) and each \(G_{n}\) is dense in \(\bar{G}\) because it contains \(G .\) Thus, each \(\bar{G} \backslash G_{n}\) is nowhere dense in \(\bar{G}\), so \(S\) is of first category in \(\bar{G}\). We will show that \(S\) is an empty set. If \(x_{0} \in S\), consider the set \(G^{*}=\left\\{x_{0}+x ; x \in G\right\\}\). Note that \(G^{*} \subset S\). Indeed, any point \(x_{0}+x, x \in G\), is in \(\bar{G}\) since \(\bar{G}\) is a linear set. If for some \(x \in G\) we have \(x_{0}+x \in G\), then by linearity of \(G\) we have \(x_{0} \in G_{1}\) a contradiction. Therefore, \(G^{*} \subset S\) and \(G^{*}\) is of first category in \(\bar{G} .\) Thus, the shift \(G\) of \(G^{*}\) is also of first category in \(\bar{G}\). Hence, the whole \(\bar{G}\) as a union of \(G\) and \(S\), which are both of first category in \(\bar{G}\), is of first category in itself. This is a contradiction, since \(\bar{G}\) is a complete metric space.

Short Answer

Expert verified
Since \(S = \bar{G} \backslash G\) must be empty to avoid contradictions, \(G = \bar{G}\). Therefore, \(G\) is closed in \(X\).

Step by step solution

01

- Understand the problem

We need to demonstrate that if a subspace \(G\) of a Banach space \(X\) is a \(G_{\boxed{}}\text{-set}\) in \(X\), then \(G\) is closed in \(X\). A \(G_{\boxed{}}\text{-set}\) is a countable intersection of open sets.
02

- Define the closure \(\bar{G}\) and set \(S\)

Let \(\bar{G}\) denote the closure of \(G\) in \(X\). Define \(S = \bar{G} \backslash G\). We want to show that \(S = \boxed{0}\), i.e., \(S\) is empty.
03

- Use the fact that \(G\) is a \(G_{\boxed{}}\text{-set}\)

Since \(G\) is a \(G_{\boxed{}}\text{-set}\) in \(X\), there exist open sets \(G_n\) such that \(G = \bigcap G_n\), where each \(G_n\) is open in \(\bar{G}\).
04

- Express \(S\) in terms of \(G_n\)

Note that \(S = \bigcup (\bar{G} \backslash G_n)\). Each \(G_n\) is dense in \(\bar{G}\) since \(G_n\) contains \(G\). Therefore, \(\bar{G} \backslash G_n\) is nowhere dense in \(\bar{G}\).
05

- Show \(S\) is of first category

Since \(\bar{G} \backslash G_n\) is nowhere dense in \(\bar{G}\) and \(S = \bigcup (\bar{G} \backslash G_n)\), it follows that \(S\) is of first category in \(\bar{G}\).
06

- Assume for contradiction that \(S\) is non-empty

Assume for contradiction that there exists \(x_0 \boxed{\text{in}} S\). Define \(G^* = \boxed{x_0 + G} = \boxed{\boxed{}}x_0{} + G = \boxed{\boxed{x+x_0}}{}; x \boxed{\boxed{\text{in}} G\).}
07

- Show \(G^* \subseteq S\)

Any \(x_0 + x\) with \(x \boxed{\text{in}} G\) must be in \(\bar{G}\) since \(\bar{G}\) is closed under addition. Since \(G\) is linear, \(x_0 + x\) cannot be in \(G\). Therefore, \(G^* \subseteq S\).
08

- Conclude that \(G^*\) is of first category

Since \(G^*\) is a shift of \(G\), it is also of first category in \(\bar{G}\).
09

- Derive the contradiction

The union of \(G\) and \(S\) forms \(\bar{G}\), which implies that \(\bar{G}\) would be of first category. This contradicts the fact that \(\bar{G}\) is a complete metric space.
10

- Conclude

Thus, the assumption that \(S\) is non-empty is false. Hence, \(S\) must be empty, and \(G = \bar{G}\). Therefore, \(G\) is closed in \(X\).

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Key Concepts

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

G-delta set
In topology, a G-delta set (or Gδ set) refers to a set that can be expressed as a countable intersection of open sets. Suppose you have a sequence of open sets \(\{G_n\}\). Then, a G-delta set is defined as: \(\bigcap_{n=1}^{\text{∞}} G_n\). This property is significant because G-delta sets preserve certain 'nice' properties of open sets even though they might be more complicated in structure.
In the context of the provided exercise, if G is a subspace of a Banach space X and is also a G-delta set, this property becomes key to proving that G is closed. The G-delta property allows us to represent G as the intersection of a sequence of open sets, thereby making it easier to analyze its structure and relate it to the properties of closed sets and their complements.
closed subspaces
A closed subspace of a topological space is a subset that contains all its limit points. This means, in a topological space X, a subspace G is closed if every limit point of G is also in G. In other words, if a sequence of points in G converges to a point, that point must also lie in G. In metric or normed spaces like Banach spaces, being closed also means that G contains all its boundary points.
The importance of closed subspaces in the context of this exercise is that we are tasked to show that the G-delta set G within a Banach space G is also closed. The concept of closures in metric spaces helps us understand that the complement of G within its closure forms a set of the first category—meaning it is 'small' in a certain sense—and demonstrating this leads us to prove G's closedness.
complete metric space
A complete metric space is one where every Cauchy sequence (a sequence where the elements get arbitrarily close to each other as the sequence progresses) converges to a point within the space. For instance, the set of real numbers with the usual distance metric is a complete metric space because any Cauchy sequence of real numbers converges to a real number.
For Banach spaces (which are complete normed vector spaces), this property ensures that limit processes behave well within the space. In the provided exercise, the completeness of the space \(\bar{G}\) plays a crucial role. When demonstrating the structure of the complement of G within its closure and indicating that the space itself cannot be of the first category, we use completeness to reach a contradiction. This allows us to conclude that G must be closed.

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Most popular questions from this chapter

Let \(X, Y\) be normed spaces and \(T \in \mathcal{B}(X, Y)\). Show that $$ \|T\|=\sup \left\\{\|T(x)\|_{Y} ;\|x\|_{X}<1\right\\}=\sup \left\\{\|T(x)\|_{Y} ;\|x\|_{X}=1\right\\} $$ Hint: Clearly, both suprema are not greater than \(\|T\|\). Given \(\varepsilon>0\), find \(x \in B_{X}\) such that \(\|T(x)\|_{Y} \geq \sqrt{1-\varepsilon}\|T\| .\) Then \(\|\sqrt{1-\varepsilon} x\|<1\) and \(\frac{x}{\|x\|_{x}} \in S_{X}\), and both vectors give \(\|T(y)\|_{Y} \geq(1-\varepsilon)\|T\|\).

Let \(C\) be a convex set in a normed space \(X\), assume \(\operatorname{Int}(C) \neq \emptyset\) (recall that \(\operatorname{Int}(C)\) denotes the interior of \(C\) ). Show that \(\overline{\operatorname{Int}(C)}=\bar{C}\) and \(\operatorname{Int}(\bar{C})=\operatorname{Int}(C)\) Hint: Use the "cone" argument. There is a point \(x_{0}\) and an open ball \(B_{b}^{\circ}\) such that \(x_{0}+B_{\delta}^{O} \subset C .\) Note that if we take any \(c \in C\), then by the convexity of \(C\), the cone with the vertex \(c\) and the base \(x_{0}+B_{\delta}^{O}\) is a subset of \(C\), and all points in this cone but the vertex \(c\) are its interior points (draw a picture!). Therefore, given \(c \in C\), we can find points from \(\operatorname{Int}(C)\) arbitrarily close to \(c\), showing that \(\bar{C} \subset \overline{\operatorname{Int}(C)}\) Given \(c \in \operatorname{Int}(\bar{C})\), there is \(\varepsilon>0\) such that \(c+\varepsilon B_{X} \subset \bar{C} .\) Let \(d=\) \(c+\varepsilon\left(c-x_{0}\right) .\) Then \(d \in \bar{C}\), so for every \(\nu>0\) there is \(y \in C\) with \(\|d-y\|<\nu\) If \(\nu\) is small (namely \(\left.\nu \leq \frac{\varepsilon \delta}{\sqrt{\delta^{2}+\left\|x_{0}-c\right\|^{2}}}\right), c\) is in the cone with the base \(x_{0}+B_{\delta}^{O}\) and vertex \(y\), so \(c \in \operatorname{Int}(C)\).

Let \(K, C\) be subsets of a normed space \(X\). (i) Show that if \(K, C\) are closed, \(K+C\) need not be closed. (ii) Show that if \(K\) is compact and \(C\) is closed, then \(K+C\) is closed. Is \(\operatorname{con}(K \cup C)\) closed? (iii) Show that if \(K\) is compact and \(C\) is bounded and closed, then the set \(\operatorname{conv}(K \cup C)\) is closed. Hint: (i): Consider \(K=\\{(x, 0) ; x \in \mathbf{R}\\}\) and \(C=\left\\{\left(x, \frac{1}{x}\right) ; x>0\right\\}\). (ii): If \(x_{n}=k_{n}+c_{n} \rightarrow y\) for \(k_{n} \in K, c_{n} \in C\), then by compactness assume \(k_{n} \rightarrow k\); then also \(c_{n}=x_{n}-k_{n} \rightarrow(y-k)\) and use that \(C\) is closed. For a negative answer to \(\operatorname{conv}(K \cup C)\), see the previous exercise. (iii): If \(x_{n}=\lambda_{n} k_{n}+\left(1-\lambda_{n}\right) c_{n} \rightarrow x\) for \(k_{n} \in K, c_{n} \in C, \lambda \in[0,1]\) find a subsequence \(n_{i}\) such that \(k_{n,} \rightarrow k\) and \(\lambda_{n_{i}} \rightarrow \lambda\). If \(\lambda=1\), then by boundedness \(\left(1-\lambda_{n_{i}}\right) c_{n_{1}} \rightarrow 0\), and \(x=k \in K .\) If \(\lambda \neq 1, c_{n_{i}} \rightarrow \frac{x-\lambda k}{1-\lambda} \in C\) by closedness of \(C\).

Let \(A, B\) be convex compact sets in a Banach space \(X\). Show that \(\operatorname{conv}(A \cup B)\) and \(A+B\) are compact. Generalize this statement to a finite number of sets. Hint: Using Exercise \(1.5\), show that \(\operatorname{conv}(A \cup B)\) is a continuous image of the compact set \(\\{(\alpha, \beta) ; \alpha, \beta \geq 0, \alpha+\beta=1\\} \times A \times B\), so it is compact. Similarly, \(A+B\) is the image of \(A \times B\) under the continuous map \((x, y) \mapsto x+y\).

Let \(\sum x_{i}\) be a series in a Banach space \(X, x \in X\). Show that the following are equivalent: (i) For every \(\varepsilon>0\), there is a finite set \(F \subset \mathbf{N}\) such that \(\left\|x-\sum_{i \in F^{\prime}} x_{i}\right\|<\varepsilon\) whenever \(F^{\prime}\) is a finite set in \(\mathbf{N}\) satisfying \(F^{\prime} \supset F\). (ii) If \(\pi\) is any permutation of \(\mathbf{N}\), then \(\sum x_{\pi(i)}=x\). If these conditions hold, we say that the series is unconditionally convergent to \(x .\) As in the real case, a series \(\sum x_{i}\) is unconditionally convergent if it is absolutely convergent: \(\left\|\sum_{i \in G} x_{i}\right\| \leq \sum_{i=n}^{\infty}\left\|x_{i}\right\|\) for \(G \subset \mathbf{N}\) with \(n \leq \min (G)\). Note that the unconditional convergence of a series does not in general imply its absolute convergence; consider \(\sum \frac{1}{i} e_{i}\) in \(\ell_{2}\). Hint: (i) \Longrightarrow (ii): For every \(\varepsilon>0\), get a finite \(F\) such that \(\left\|\sum_{F^{\prime}} x_{i}-x\right\|<\varepsilon\) whenever \(F^{\prime}\) is a finite set in \(\mathbf{N}\) such that \(F^{\prime} \supset F\). For some \(n_{0}\), we get \(\left\\{\pi(1), \pi(2), \ldots, \pi\left(n_{0}\right)\right\\} \supset F .\) Thus \(\left\|x-\sum_{i=1}^{n} x_{\pi(i)}\right\|<\varepsilon\) for \(n \geq n_{0}\) (ii) \(\Longrightarrow\) (i): By contradiction, get by induction a sequence \(n_{k}\) such that \(\left\|\sum_{i=1}^{n_{k}} x_{i}-x\right\|<\frac{1}{k}\) and a sequence of finite sets \(M_{k}\) such that \(n_{k+1}>\) \(\max \left(M_{k}\right) \geq \min \left(M_{k}\right)>n_{k}\) in such a way that \(\left\|\sum_{i=1}^{n_{k}} x_{i}+\sum_{M_{k}} x_{i}-x\right\| \geq \varepsilon\) Indeed, since (i) fails for \(F=\left\\{1, \ldots, n_{k}\right\\}\), we find \(F^{\prime}\) and set \(M_{k}=F^{\prime} \backslash F\) Find a permutation \(\pi\) such that \(\pi\left(\left\\{1, \ldots, n_{k}+\left|M_{k}\right|\right\\}\right)=\left\\{1, \ldots, n_{k}\right\\} \cup M_{k}\) then \(\sum x_{\pi(i)}\) does not converge. To see that \(\sum \frac{1}{i} e_{i}\) converges unconditionally in \(\ell_{2}\), note that \(\left\|\sum_{G} \frac{1}{i} e_{i}\right\|\) is small if \(\min (G)\) is large enough.

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