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Let \(X, Y\) be Banach spaces and \(T \in \mathcal{B}(X, Y)\). If there is \(\delta>0\) such that \(\|T(x)\| \geq \delta\|x\|\) for all \(x \in X\), then \(T(X)\) is closed in \(Y .\) Moreover, \(T\) is an isomorphism from \(X\) into \(Y\). Hint: Let \(\left\\{T\left(x_{n}\right)\right\\} \subset T(X)\) be such that \(T\left(x_{n}\right) \rightarrow y\). Then \(\left\\{T\left(x_{n}\right)\right\\}\) is Cauchy and hence also \(\left\\{x_{n}\right\\}\) is Cauchy. By completeness, \(x_{n} \rightarrow x\), so \(T\left(x_{n}\right) \rightarrow T(x)\), by the uniqueness of the limit we get \(y=T(x)\). The inequality we assume implies that \(T\) is one-to-one, so the inverse \(T^{-1}: T(X) \rightarrow X\) is defined and \(\left\|T^{-1}\right\| \leq \frac{1}{\delta}\)

Short Answer

Expert verified
If \( \| T(x) \| \geq \delta \| x \| \), then \(T(X)\) is closed, and \(T\) is an isomorphism with \( \left\| T^{-1} \right\| \leq \frac{1}{\delta} \).

Step by step solution

01

Define conditions and given information

Given Banach spaces \(X\) and \(Y\), and a bounded linear operator \(T \, \in \, \mathcal{B}(X, Y)\), such that there exists \(\delta > 0\) with \(\| T(x) \| \geq \delta \| x \|\) for all \(x \in X\).
02

Show \(T(X)\) is closed

Given \( \left\{ T(x_n) \right\} \subset T(X) \) and \(T(x_n) \rightarrow y\), prove that \(y \in T(X)\). Since \( \left\{ T(x_n) \right\} \) is Cauchy, \( \left\{ x_n \right\} \) is also Cauchy due to the inequality \( \| T(x) \| \geq \delta \| x \| \). Completeness of \(X\) implies \( x_n \rightarrow x \). Therefore, \( T(x_n) \rightarrow T(x) \). By the uniqueness of limits, \( y = T(x) \), so \( y \in T(X) \). Hence, \(T(X)\) is closed.
03

Prove \(T\) is an isomorphism

To show \(T\) is one-to-one, consider the inequality \(\| T(x) \| \geq \delta \| x \|\). Suppose \( T(x) = 0 \). Then, \( 0 \geq \delta \| x \| \), which implies \( x = 0 \). Hence, \(T\) is injective (one-to-one).
04

Define the inverse and bound its norm

Given \(T(X)\) is closed and \(T\) is injective, define the inverse operator \(T^{-1}: T(X) \to X\). The norm of the inverse can be bounded as \( \left\| T^{-1} \right\| \leq \frac{1}{\delta} \) by the definition of the inverse and the given inequality.
05

Conclude the isomorphism

Since \(T\) is a bounded linear operator, injective, with closed image and a bounded inverse, \(T\) is an isomorphism from \(X\) into \(Y\).

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Key Concepts

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

Banach Spaces
A Banach space is a complete normed vector space, meaning it is a vector space equipped with a norm, and every Cauchy sequence converges within the space. The completeness criterion is crucial for many analysis results.
For example, the sequence \{x_n\} in a Banach space X, which satisfies \(| x_{n+1} - x_n | \to 0\) for n \to \infty\ is called a Cauchy sequence.
If every such Cauchy sequence \( x_n \) converges to some limit x within the space, then X is a Banach space. Common examples are:
  • \( \mathbb{R}^n \) with the Euclidean norm
  • \( L^p \) spaces for \( 1 \leq p \leq \infty \)
  • the space of continuous functions over a closed interval with the maximum norm
Bounded Linear Operator
A linear operator \(T\) between two normed spaces X and Y is called bounded if there exists a constant C such that \( \|T(x)\| \leq C \|x\| \) for all \(x\) in X. The smallest such C is called the operator norm of T and is denoted by \( \|T\| \).
For a bounded linear operator T, the value \(T(x)\) scales appropriately with the magnitude of \(x\), ensuring stability and preventing 'blow-ups'.
This property is significant because bounded operators map bounded sets to bounded sets, which is vital in various functional analysis contexts.
In the given exercise, T being in \( \mathcal{B}(X, Y) \) signifies it is a bounded linear operator.
Closed Set
In a topological space, a set is closed if it contains all its limit points. In simpler terms, if a sequence within this set converges, its limit is also included in the set. This property ensures that certain sequences or functions do not 'escape' the set upon convergence.
For instance, in the exercise, proving that \(T(X)\) is closed ensures that the image of the Banach space X under T remains within a well-defined boundary within Y.
The closed nature of T(X) within Y implies any limit of a convergent sequence of elements mapped by T from X remains in T(X). This property is critical when demonstrating the structured behavior of the operator T.
Isomorphism
An isomorphism is a bijective (one-to-one and onto) linear map between two vector spaces that preserves the operations of vector addition and scalar multiplication. This concept ensures a form of equivalence between the spaces, suggesting they are structurally the same concerning their linear properties.
In the context of the exercise, proving that \(T\) is an isomorphism shows that it establishes a strong correspondence between X and Y, allowing elements of X to be translated into Y uniquely and vice-versa.
  • One-to-one: \( T(x) = T(y) \) implies \( x = y \)
  • Onto: For every \( y \in Y\), there exists \( x \in X\) such that \( T(x) = y \)
The boundedness of T and its inverse reinforces stability and maintains controlled behavior of the spaces under this mapping.

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Most popular questions from this chapter

Find a Hilbert space \(H\) and its subspace \(F\) such that \(H \neq F+F^{\perp}\). This shows that the assumption of closedness in Theorem \(1.33\) is crucial. Hint: Consider the subspace \(F\) of finitely supported vectors in \(\ell_{2} .\) Then \(F^{\perp}=\\{0\\}\) because given \(x \in H \backslash\\{0\\},\left(x, e_{i}\right) \neq 0\) for \(i \in \operatorname{supp}(x) .\)

Let \(\sum x_{i}\) be unconditionally convergent. Show that: (i) \(S_{1}=\left\\{\sum_{i=1}^{\infty} \varepsilon_{i} x_{i} ; \varepsilon_{i}=\pm 1\right\\}\) is a compact set in \(X\), (ii) \(S_{2}=\left\\{\sum_{i=1}^{n} \varepsilon_{i} x_{i} ; n \in \mathbf{N}, \varepsilon_{i}=\pm 1\right\\}\) is a relatively compact set in \(X\). Hint: (i): The space \(\\{-1,1\\}^{\mathrm{N}}\) is compact in the pointwise topology. We claim that the map \(\left\\{\varepsilon_{i}\right\\} \mapsto \sum \varepsilon_{i} x_{i}\) is continuous. Indeed, from the unconditional Cauchy condition we have that if \(\sigma\) is a finite set with \(\min (\sigma)\) sufficiently large, then \(\left\|\sum_{i \in \sigma} x_{i}\right\|<\varepsilon\), which gives that if \(n_{0}\) is sufficiently large, then \(\left\|\sum_{i=n}^{m} \varepsilon_{i} x_{i}\right\|<\varepsilon\) for every possible \(\varepsilon_{i}\). (ii): Use (i) and write \(2 \sum_{i=1}^{n} \varepsilon_{i} x_{i}=\sum_{i=1}^{\infty} \varepsilon_{i} x_{i}+\sum_{i=1}^{\infty} \varepsilon_{i}^{\prime} x_{i}\), where \(\varepsilon_{i}^{\prime}=\varepsilon_{i}\) for \(i=1, \ldots, n\) and \(\varepsilon_{i}^{\prime}=-\varepsilon_{i}\) for \(i=n+1, n+2, \ldots\)

Let \(X\) be a normed linear space. Assume that for \(x, y \in X\) we have \(\|x+y\|=\|x\|+\|y\| .\) Show that then \(\|\alpha x+\beta y\|=\alpha\|x\|+\beta\|y\|\) for every \(\alpha, \beta \geq 0\) Hint: Assume \(\alpha \geq \beta .\) Write $$ \begin{aligned} \|\alpha x+\beta y\| &=\|\alpha(x+y)-(\alpha-\beta) y\| \geq \alpha\|x+y\|-(\alpha-\beta)\|y\| \\ &=\alpha(\|x\|+\|y\|)-(\alpha-\beta)\|y\|=\alpha\|x\|+\beta\|y\| \end{aligned} $$

Let \(A\) be a totally bounded set in a Banach space \(X .\) Show that \(\operatorname{conv}(A)\) is totally bounded. Therefore, \(\overline{\operatorname{conv}}(A)\) is compact. Hint: Let \(B\) be a finite \(\delta\) -net for \(A .\) It is straightforward to check that \(\operatorname{conv}(B)\) is a \(\delta\) -net for \(\operatorname{conv}(A)\). Since \(\operatorname{conv}(B)\) lies in a finite- dimensional space and is bounded, it is totally bounded, and its \(\delta\) -net would produce a \(2 \delta\) -net for \(\operatorname{conv}(A)\). Note also that the closure of a totally bounded set is totally bounded.

Let \(\Gamma\) be a set and \(p \in[1, \infty]\). Show that \(c_{0}(\Gamma)\) and \(\ell_{p}(\Gamma)\) are Banach spaces.

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