I am trying to follow the accepted answer here in order to prove that for $1 \leq p < q \leq \infty$ we have $||x_n||_q < ||x_n||_p$ and $\ell^q \subset \ell^p$.
Start with taking $(x_n)_{n \in \mathbb{N}} \in \ell^p$. Since $\sum |x_n|^p < \infty$ then $\exists_M \forall_{m>M}$ we have $|X_m|^p < 1$. But $q > p$ so $|X_m|^q < |X_m|^p$. That implies any sequence from $\ell^p$ will be summable with power of $q$ too and thus in $\ell^q$. How do I conclude the norm inequality?
If we skipped the first $M$ elements in the sequence we would get $$ ||x_n||^q_q \backsimeq \left((\sum_{i=M+1}^{\infty} |x_i|^q)^{\frac{1}{q}}\right)^q = \sum_{i=M+1}^{\infty} |x_i|^q \leq \sum_{i=M+1}^{\infty} |x_i|^p = \left((\sum_{i=M+1}^{\infty} |x_i|^p)^{\frac{1}{p}}\right)^p \backsimeq||x_n||^p_p $$ (no equality sign since I skipped M first elements in the norm)
Now my questions:
- Can I just "skip" some elements like that and give $=$ instead of $\backsimeq$? What if skipped elements summed to something bigger on the left side than on the right side?
- Would $||x_n||^q_q \leq ||x_n||^p_p$ imply $||x_n||_q < ||x_n||_p$? If yes, how?
What you want to prove is what is sometimes called Jensen inequality, and even if only finitely many terms are nonzero it is not completely trivial.
Here is how a possible proof goes: You can divide the proof into 2 steps.
For step 1: This can be shown similarly as you did: Note that the proof does not run into your above two difficulties because
For step 2: Let $x\in\ell_p$. In case $x=0$, the inequality is trivial. In case $x\ne0$, there is a number $\lambda>0$ such that $y=\lambda x\in\ell_p$ satisfies $\lVert y\rVert_p=1$. Now apply step 1 to obtain that $\lVert y\rVert_q\le1=\lVert y\rVert_p$. Dividing this inequaliy by $\lambda>0$ gives the result.