Chapter 7: Problem 14
Let \(X\) be an infinite-dimensional Banach space. Show that there is a bounded linear non-compact operator from \(X\) into \(c_{0}\).
Short Answer
Expert verified
The operator \(T: X \to c_{0}\) defined by \(T(x) = (\langle x, x_n \rangle )_{n \in \mathbb{N}}\) is bounded and non-compact.
Step by step solution
01
Understand the Problem
We need to show the existence of a bounded linear operator from an infinite-dimensional Banach space, which is not compact, into the sequence space c₀.
02
Recall Definitions
Recall that a bounded linear operator is a map between Banach spaces that satisfies linearity and boundedness. A compact operator is one that maps bounded sets to relatively compact sets (sets whose closure is compact). The space c₀ consists of all sequences converging to zero with the sup norm.
03
Construct the Operator
Consider the standard basis in c₀, denoted as \(\{e_n\}\). Define an operator \(T: X \to c_{0}\) by selecting a sequence \(\{x_n\}\) in \(X\) such that \(\|x_n\| = 1\) and \(x_n \to 0\) weakly.
04
Check for Boundedness
Make sure the operator \(T\) defined by \(T(x) = (\langle x, x_n \rangle )_{n \in \mathbb{N}}\) is bounded. Verify that \(\|T(x)\| < \infty\) for all \(x \in X\).
05
Verify Non-Compactness
Show that \(T\) is not compact. For this, observe that the sequence \(\{T(x_n)\}\), where \(x_n \in X\), does not have any subsequence that converges in \(c_{0}\), using the weak convergence of \(\{x_n\}\).
06
Conclusion
Since \(T\) is a bounded linear operator and not compact, we have demonstrated the existence of the desired operator.
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Banach Space
Banach spaces are a fundamental concept in functional analysis. A Banach space is a vector space with a norm, and it is complete with respect to this norm. This means every Cauchy sequence in the space converges to a limit within the space. Banach spaces generalize the notion of Euclidean spaces and allow for more complex and infinite-dimensional spaces. Examples of Banach spaces include \(\text{L}^p\) spaces and sequence spaces like \( \text{c}_0 \).
In the given exercise, we start with an infinite-dimensional Banach space \( X \). The goal is to find a bounded and linear operator from \( X \) to the sequence space \( \text{c}_0 \), which is not compact. This requirement takes advantage of the completeness property of Banach spaces.
In the given exercise, we start with an infinite-dimensional Banach space \( X \). The goal is to find a bounded and linear operator from \( X \) to the sequence space \( \text{c}_0 \), which is not compact. This requirement takes advantage of the completeness property of Banach spaces.
Compact Operator
Understanding what makes an operator compact is crucial to solving the exercise. A compact operator is a linear map from one Banach space to another that maps bounded sets to relatively compact sets. A set is relatively compact if its closure is compact. In simpler terms, applying a compact operator to a bounded set results in a set that can be 'squeezed' into a compact form.
Compact operators have specific properties that are heavily utilized in analysis and differential equations. For instance, in an infinite-dimensional space, a compact operator cannot be the identity operator. This distinction helps to define the characteristics of the operator we seek, which must be bounded but not compact.
Compact operators have specific properties that are heavily utilized in analysis and differential equations. For instance, in an infinite-dimensional space, a compact operator cannot be the identity operator. This distinction helps to define the characteristics of the operator we seek, which must be bounded but not compact.
Sequence Space c₀
The sequence space \( \text{c}_0 \) consists of all sequences \( \text{x}_n \) of real (or complex) numbers that converge to zero. Mathematically, \( \text{c}_0 = \big \{ (a_n) \in \text{l}^\text{∞} : \lim_{n \rightarrow ∞} a_n = 0 \big \} \).
A key feature of \( \text{c}_0 \) is that it is equipped with the sup norm, which is the maximum absolute value within the sequence. Utilizing \( \text{c}_0 \) allows us to create operators with particular properties, essential in the exercise to show the bounded linear operator that is not compact.
A key feature of \( \text{c}_0 \) is that it is equipped with the sup norm, which is the maximum absolute value within the sequence. Utilizing \( \text{c}_0 \) allows us to create operators with particular properties, essential in the exercise to show the bounded linear operator that is not compact.
Weak Convergence
Weak convergence is a type of convergence in Banach spaces that is less strict than norm convergence. A sequence \( (x_n) \) in a Banach space \(X \) converges weakly to \( x \) if and only if for every continuous linear functional \( f \) in the dual space of \( X \), the sequence of real (or complex) numbers \( f(x_n) \) converges to \( f(x) \).
In our exercise, we consider a sequence \( (x_n) \) in \( X \) such that \( \text{\big \| x_n \big \| = 1} \) and \( x_n \rightarrow 0 \) weakly. This is essential for defining the operator \( T \) and establishing that it meets our requirements for boundedness and non-compactness.
In our exercise, we consider a sequence \( (x_n) \) in \( X \) such that \( \text{\big \| x_n \big \| = 1} \) and \( x_n \rightarrow 0 \) weakly. This is essential for defining the operator \( T \) and establishing that it meets our requirements for boundedness and non-compactness.
Sup Norm
The sup norm, also known as the uniform norm, is defined for a sequence \( (a_n) \) as \( \big \| (a_n) \big \|_\text{∞} = \sup|a_n| \). This norm takes the maximum absolute value of the sequence elements. It is critical in studying spaces like \( \text{c}_0 \), where we often want to consider how 'large' the elements of our sequences are in a maximal sense.
The sup norm is utilized in defining boundedness for operators. In the exercise, the definition of the operator \( T \) relies on ensuring \( \text{\big \| T(x) \big \|_\text{∞}} < \text{\big \| \text{x} \big \| } \) for all \( x \in X \), confirming that our constructed operator remains within the necessary constraints and behaves as expected when applied to sequences converging to zero.
The sup norm is utilized in defining boundedness for operators. In the exercise, the definition of the operator \( T \) relies on ensuring \( \text{\big \| T(x) \big \|_\text{∞}} < \text{\big \| \text{x} \big \| } \) for all \( x \in X \), confirming that our constructed operator remains within the necessary constraints and behaves as expected when applied to sequences converging to zero.