Direct Product of Banach Spaces is Banach Space
Theorem
Let $\struct {X, \norm {\, \cdot \,}_X}$ and $\struct {Y, \norm {\, \cdot \,}_Y}$ be normed vector spaces.
Let $V = X \times Y$ be a direct product of vector spaces $X$ and $Y$ together with induced component-wise operations.
Let $\norm {\, \cdot \,}_{X \times Y}$ be the direct product norm.
Suppose $X$ and $Y$ are Banach spaces.
Then $V$ is a Banach space.
Proof
Let $\sequence {\tuple {x_n, y_n}}_{n \mathop \in \N}$ be a Cauchy sequence in $V$:
- $\forall \epsilon \in \R_{>0}: \exists N \in \N: \forall m, n \in \N: m, n > N: \norm {\tuple {x_n, y_n} - \tuple {x_m, y_m} }_{X \times Y} < \epsilon$
We have that:
\(\ds \norm {x_n - x_m}_X\) | \(\le\) | \(\ds \map \max {\norm {x_n - x_m}_X, \norm {y_n - y_m}_Y }\) | ||||||||||||
\(\ds \) | \(=\) | \(\ds \norm {\tuple {x_n - x_m, y_n - y_m} }_{X \times Y}\) | Definition of Direct Product Norm | |||||||||||
\(\ds \) | \(=\) | \(\ds \norm {\tuple {x_n, y_n} - \tuple {x_m, y_m} }_{X \times Y}\) | induced component-wise operations | |||||||||||
\(\ds \) | \(<\) | \(\ds \epsilon\) |
Hence, $\sequence {x_n}_{n \mathop \in \N}$ is Cauchy sequence in $X$.
By assumption, $X$ is a Banach space.
Therefore, $\sequence {x_n}_{n \mathop \in \N}$ converges to $x \in X$.
By analogous arguments, $\sequence {y_n}_{n \mathop \in \N}$ converges to $y \in Y$.
So, by Convergence in Direct Product Norm, we have:
- $\sequence {\tuple {x_n, y_n}}_{n \mathop \in \N}$ converges to $\tuple {x, y}$.
By definition, $V$ is a Banach space.
$\blacksquare$
Sources
- 2017: Amol Sasane: A Friendly Approach to Functional Analysis ... (previous) ... (next): $\S 1.4$: Normed and Banach spaces. Sequences in a normed space; Banach spaces