Chapter 2: Problem 19
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.
Unlock Step-by-Step Solutions & Ace Your Exams!
-
Full Textbook Solutions
Get detailed explanations and key concepts
-
Unlimited Al creation
Al flashcards, explanations, exams and more...
-
Ads-free access
To over 500 millions flashcards
-
Money-back guarantee
We refund you if you fail your exam.
Over 30 million students worldwide already upgrade their learning with Vaia!
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.
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.
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 \( c_0 \).
- 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.
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.
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.
- 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.
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.