ellp spaces

We can look at the space of sequences such that for p∈[1,∞), in general we can denote x∙ to be a sequnce of real numbers (notation Wikipedia)

∑k=1∞|xi|p

This actually forms a infinite dimensional vector space.

converges, and it is a vector space, and it is denoted as ℓp or \ell { #p} denpending of who is writing, and we can define

∥x∙∥p=∥(xk)∥p=(∑k=1∞|xk|p)1/p

defines a norm in ℓp.

In the case where p=∞, the space ℓ∞ is the set of all bounded sequences of real numbers, is a vector space and

∥x∙∥=∥(xk)∥∞=supk≥1|xk|

is a norm in ℓ∞.

Since they are norms, we have that

Hölder’s Inequalities for Series

We have that for p,q harmonic conjuagtes. Then if x∙∈ℓp and y∙∈ℓq. Then

∥x∙y∙∥1≤∥x∙∥p∥y∙∥q

Minkowski’s Inequalities for Series

∥x∙+y∙∥p≤∥x∙∥p+∥y∙∥p

We can compare how does the ℓp spaces when varying p. We get that

ℓp(Z)

This are the two sided sequences

ℓ2(Z)

The vector space ℓ2(Z) over C is the set of all (two-sided) infinite sequences of complex numbers $$(\dots, a_{-n}, \dots, a_{-1}, a_0, a_1, \dots, a_n, \dots)$$such that $$\sum_{n \in \Bbb Z}|a_n|^2 < \infty$$That is, the series converges. Addition is defined componentwise, and so is scalar multiplication. The inner product between two vectors A=(…,a−1,a0,a1,…) and B=(…,b−1,b0,b1,…) is defined by the absolutely convergent series $$\langle A, B\rangle := \sum_{n \in \Bbb Z}a_n \overline{b_n}$$Thus the norm of A is given by $$|A| = \left(\sum_{n \in \Bbb Z} |a_n|^2\right)^{1/2}$$