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

  1. p Spaces (Sequence Spaces)

    • Defined as: p={(xn)nNn=1|xn|p<},1p<
    • 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.