What are Banach Spaces?
A Banach space is a complete normed vector space, meaning that every Cauchy sequence in the space converges to a limit within the space. See Spazi vettoriali for the formal definition.
Examples of Banach Spaces
In this section, we list some examples of the most common Banach Spaces
-
ℓp Spaces (Sequence Spaces)
- Defined as: ℓp={(xn)n∈N∣∞∑n=1|xn|p<∞},1≤p<∞
- The norm is given by: ‖
- When p = \infty, we define: \ell^\infty = \left\{ (x_n)_{n\in \mathbb{N}} \mid \sup_n |x_n| < \infty \right\} with the norm \|x\|_{\infty} = \sup_n |x_n|.
- These spaces are Banach under their respective norms.
-
L^p Spaces (Function Spaces)
- Given a measure space (X, \Sigma, \mu), the space L^p(X) consists of measurable functions f: X \to \mathbb{R} (or \mathbb{C}) such that: \|f\|_p = \left( \int_X |f(x)|^p d\mu(x) \right)^{1/p} < \infty, \quad 1 \leq p < \infty.
- When p = \infty, the norm is: \|f\|_{\infty} = \text{ess sup} |f(x)|.
- These are Banach spaces when equipped with their respective norms.
-
C([a,b]) (Space of Continuous Functions)
- The space of continuous functions on a closed interval [a,b] with the supremum norm: \|f\|_{\infty} = \sup_{x \in [a,b]} |f(x)|
- This is a Banach space because uniform limits of continuous functions are continuous.
-
Sobolev Spaces W^{k,p}(\Omega)
- These spaces generalize L^p spaces by incorporating weak derivatives up to order k, with norms: \|u\|_{W^{k,p}} = \sum_{|\alpha| \leq k} \|\partial^\alpha u\|_p.
- They play a crucial role in PDEs and functional analysis.
-
The Space of Bounded Linear Operators B(X, Y)
- Given two Banach spaces X and Y, the space of bounded linear operators from X to Y, denoted B(X, Y), with the operator norm: \|T\| = \sup_{\|x\|\leq 1} \|T(x)\|
- This forms a Banach space.