In mathematics - more specifically, in functional analysis and numerical analysis - Stechkin's lemma is a result about the ℓq norm of the tail of a sequence, when the whole sequence is known to have finite ℓp norm. Here, the term "tail" means those terms in the sequence that are not among the N largest terms, for an arbitrary natural number N. Stechkin's lemma is often useful when analysing best-N-term approximations to functions in a given basis of a function space. The result was originally proved by Stechkin in the case
q=2
Let
0<p<q<infty
I
(ai)i
I
N\inN
IN\subsetI
N
(ai)i
\left(
\sum | |
i\inI\setminusIN |
|ai|q\right)1/q\leq\left(\sumi|ai|p\right)1/p
1 | |
Nr |
where
r=
1 | |
p |
-
1 | |
q |
>0
Thus, Stechkin's lemma controls the ℓq norm of the tail of the sequence
(ai)i
N
W.l.o.g. we assume that the sequence
(ai)i
|ai+1|\leq|ai|,i\inI
I=N
First, we reformulate the statement of the lemma to
\left(
1 | |
N |
\sum | |
i\inI\setminusIN |
|ai|q\right)1/q\leq\left(
1 | |
N |
\sumj|aj|p\right)1/p.
Now, we notice that for
d\inN
|ai|\leq|adN|, for i=dN+1,...,(d+1)N;
|adN|\leq|aj|, for j=(d-1)N+1,...,dN;
Using this, we can estimate
\left(
1 | |
N |
\sum | |
i\inI\setminusIN |
|ai|q\right)1/q\leq\left(
1 | |
N |
\sumdN|adN|q\right)1/q=\left(\sumd|adN|q\right)1/q
\left(\sumd|adN|p\right)1/p=\left(
1 | |
N |
\sumdN|adN|p\right)1/p\leq\left(
1 | |
N |
\sum | |
i\inI\setminusIN |
|ai|p\right)1/p.
Also, we get by norm equivalence:
\left(\sumd|adN|q\right)1/q\leq\left(\sumd|adN|p\right)1/p.
Putting all these ingredients together completes the proof.