Stechkin's lemma explained

In mathematics  - more specifically, in functional analysis and numerical analysis  - Stechkin's lemma is a result about the q 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

.

Statement of the lemma

Let

0<p<q<infty

and let

I

be a countable index set. Let

(ai)i

be any sequence indexed by

I

, and for

N\inN

let

IN\subsetI

be the indices of the

N

largest terms of the sequence

(ai)i

in absolute value. Then

\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

(and hence the ℓq norm of the difference between the sequence and its approximation using its

N

largest terms) in terms of the ℓp norm of the full sequence and an rate of decay.

Proof of the lemma

W.l.o.g. we assume that the sequence

(ai)i

is sorted by

|ai+1|\leq|ai|,i\inI

and we set

I=N

for notation.

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|,fori=dN+1,...,(d+1)N;

|adN|\leq|aj|,forj=(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

as well as

\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.

References