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Show that \(\ell_{1}\) is not isomorphic to a subspace of \(c_{0}\). Hint: The dual of \(\ell_{1}\) is nonseparable.

Short Answer

Expert verified
\(\ell_{1}\) is not isomorphic to a subspace of \(\c_{0}\) because \(\ell_{1}\) is nonseparable while \(\c_{0}\) and its subspaces are separable.

Step by step solution

01

- Understanding \(\ell_{1}\) and \(\c_{0}\)

The space \(\ell_{1}\) consists of all absolutely summable sequences \((x_{n})\) such that \(\[ \sum_{n=1}^{\backslashinfty} |x_{n}| < \backslashinfty \]\). The space \(\c_{0}\) consists of all sequences \((x_{n})\) that converge to 0. Both are infinite-dimensional vector spaces, but their properties differ significantly.
02

- Use the Hint on Duality

Recall the hint stating that the dual of \(\ell_{1}\), denoted \(\ell_{\backslashinfty}\), is nonseparable. This means there does not exist a countable dense subset in \(\ell_{\backslashinfty}\) with respect to the weak* topology.
03

- Check Separability of \(\c_{0}\)

Note that \(\c_{0}\) is a separable space. This implies any subspace of \(\c_{0}\) is also separable. A separable space has a countable dense subset.
04

- Contradiction in Isomorphism

If \(\ell_{1}\) were isomorphic to a subspace of \(\c_{0}\), then \(\ell_{1}\) would also have to be separable, because all subspaces of a separable space are separable. However, since \(\ell_{1}\) is not separable (as its dual \(\ell_{\backslashinfty}\) is nonseparable), this leads to a contradiction.
05

- Conclusion

We conclude that \(\ell_{1}\) cannot be isomorphic to a subspace of \(\c_{0}\) due to the difference in separability properties.

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Key Concepts

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

isomorphism
An isomorphism between two vector spaces is essentially a mapping that preserves the structure and properties of those spaces. This mapping—called an **isomorphism**—must be both one-to-one (injective) and onto (surjective). Simply put, an isomorphism between vector spaces \(V\) and \(W\) maps elements from \(V\) to \(W\) in such a way that all the operations in \(V\) have their counterparts in \(W\), and vice versa. Here are some key points to remember about isomorphisms:
  • An isomorphism maintains vector addition and scalar multiplication.
  • If \(V\) and \(W\) are isomorphic, they are essentially the same in terms of vector space properties.
  • Isomorphisms are special because they indicate a perfect 'match' between spaces, despite possible differences in their presentation or nature.
When dealing with spaces like \( \ell_1 \) and \( c_0 \), identifying an isomorphism means finding a bijective linear map that respects the space structures. Since we've seen that \( \ell_1 \) cannot be isomorphic to any subspace of \( c_0 \), this indicates deep-rooted structural differences, especially in terms of separability, which we'll explore next.
dual space
The concept of a **dual space** is fundamental in functional analysis. For any vector space \(V\), the dual space, denoted as \(V^*\), consists of all linear functionals on \(V\). A linear functional is essentially a linear mapping from \(V\) to the field over which \(V\) is defined, usually the field of real or complex numbers.
  • The dual space captures 'how' functions can act on the elements of \(V\).
  • For example, the dual of \( \ell_1 \) is \( \ell_{\backslashinfty} \), which contains all bounded sequences.
  • The properties of a space's dual can sometimes be starkly different from the original space itself.
In the specific exercise given, we needed to recognize that \( \ell_{\backslashinfty} \) (the dual space of \( \ell_1 \)) is nonseparable. This concept of separability—where a space has a countable dense subset—becomes crucial in the next part of the argument:
Since \( \ell_1 \) maps through its dual \( \ell_{\backslashinfty} \), and \( \ell_{\backslashinfty} \) lacks a countable dense subset, understanding dual spaces helps us reason why \( \ell_1 \) cannot fit into any separable subspace like those in \( c_0 \).
separability
A vector space is called **separable** if it has a countable dense subset. This means there is a countable set of points in the space such that any point in the space can be approximated as closely as desired by points from this countable set.
  • Separable spaces are important in analysis because they allow the usage of sequences, a common tool in mathematical proofs.
  • Both metric spaces and vector spaces can exhibit separability.
  • For instance, \( c_0 \), the space of sequences converging to zero, is separable.
Returning to our specific exercise, \( c_0 \) being separable implies that any subspace of \( c_0 \) is also separable. But, the problem arises when considering \( \ell_1 \), a space whose dual \( \ell_{\backslashinfty} \) is known to be nonseparable.
If \( \ell_1 \) were a subspace of \( c_0 \), it would inherit separability from \( c_0 \). However, since \( \ell_1' \) (the dual) is nonseparable, this is impossible. Thus, understanding separability and its implications allows us to see why \( \ell_1 \) cannot be a subspace of \( c_0 \), leading to a contradiction and ultimately proving the exercise.

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Most popular questions from this chapter

Let \(N\) be a maximal \(\varepsilon\) -separated set in the unit sphere of a Banach space \(X\). Show that \((1-\varepsilon) B_{X} \subset \overline{\operatorname{conv}}(N)\) Hint: Otherwise, by the separation theorem, we find \(x \in X\) and \(f \in S_{X^{*}}\) with \(\|x\| \leq 1-\varepsilon\) and \(f(x)>\sup _{\operatorname{conv}(N)}(f)>\sup _{N}(f) .\) For \(\delta>0\), choose \(y \in S_{X}\) such that \(f(y)>1-\delta .\) By the maximality of \(N\), there exists \(z \in N\) with \(\varepsilon>\|y-z\| \geq f(y)-f(z)\). Thus \(\sup _{N}(f) \geq f(z)>f(y)-\varepsilon>1-\delta-\varepsilon\) This holds for any \(\delta>0\), so we have \(1-\varepsilon \leq \sup _{N}(f)

Let \(X=\mathbf{R}^{2}\) with the norm \(\|x\|=\left(\left|x_{1}\right|^{4}+\left|x_{2}\right|^{4}\right)^{\frac{1}{4}} .\) Calculate directly the dual norm on \(X^{*}\) using the Lagrange multipliers. Hint: The dual norm of \((a, b) \in X^{*}\) is \(\sup \left\\{a x_{1}+b x_{2} ; x_{1}^{4}+x_{2}^{4}=1\right\\} .\) Define \(F\left(x_{1}, x_{2}, \lambda\right)=a x_{1}+b x_{2}-\lambda\left(x_{1}^{4}+x_{2}^{4}-1\right)\) and multiply by \(x_{1}\) and \(x_{2}\), respectively, the equations you get from \(\frac{\partial F}{\partial x_{1}}=0\) and \(\frac{\partial F}{\partial x_{2}}=0\)

Let \(X, Y\) be Banach spaces and \(T \in \mathcal{B}(X, Y)\). Show that if \(Y\) is separable and \(T\) is onto \(Y\), then there is a separable closed subspace \(Z\) of \(X\) such that \(T(Z)=Y\).

Let \(X, Y\) be Banach spaces and \(T \in \mathcal{B}(X, Y)\). If \(T\) is an isomorphism into \(Y\), is \(T^{*}\) necessarily an isomorphism into \(X^{*}\) ? Hint: No, embed \(\mathbf{R}\) into \(\mathbf{R}^{2}\).

Let \(\left\\{x_{i}\right\\}_{i=1}^{n}\) be a linearly independent set of vectors in a Banach space \(X\) and \(\left\\{\alpha_{i}\right\\}_{i=1}^{n}\) be a finite set of real numbers. Show that there is \(f \in X^{*}\) such that \(f\left(x_{i}\right)=\alpha_{i}\) for \(i=1, \ldots, n\). Hint: Define a linear functional \(f\) on \(\operatorname{span}\left\\{x_{i}\right\\}\) by \(f\left(x_{i}\right)=\alpha_{i}\) for \(i=1, \ldots, n\) and use the Hahn-Banach theorem.

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