Abstract
The pointwise estimates of the deviation
1 Introduction
Let
where
We will consider for
with the partial sums
If
and
or
then
or
respectively.
As a measure of approximation of
where
It is clear that
for any
is the usual integral modulus of continuity.
We will use the notations
for
The deviations
In our theorems, we will prove the pointwise estimates of deviations
We will write
2 Statement of the results
We start with our main results on the degrees of pointwise summability.
Theorem 1
Let
then
for every natural
If in Theorem 1 we put the matrix
Theorem 2
If
for every natural
If in Theorems 1 and 2 we assume additional conditions on quantities
Remark 1
If we suppose that
then under the assumptions of Theorems 1 or 2
or
hold, respectively. Additionally, if
as
We also note that the relations
as
We can check this for the function
In [5] it is proved that
where
For the function
Theorem 3
Let
for every natural n and all real x.
Moreover, if the entries of matrix
for every natural
Finally, we formulate the results on the estimates of
Theorem 4
Let
for every natural
Moreover, if the entries of matrix
Let
whence
Therefore, if
Remark 2
Let
Then
Moreover, if the entries of matrix
then
3 Applications
The examined approximations of functions (signals) have wide applications in signal analysis in general and in signal processing. The obtained results are general in nature and can be applied to various problems of Mathematical Analysis, Mathematical Physics, and different Engineering branches. The estimates presented in the theorems allow us to determine the orders of deviation of a very wide class of linear means of partial sums of Fourier series from the examined functions depending on their differential properties. On the basis of these results, the considered deviations can be investigated with the use of other norms and approximation measures.
4 Auxiliary results
We begin this section by some notations from [8] and [6]. Let for
Then
and
In the proofs we need the following known results.
Lemma 1
[6] If
and, for any real
Lemma 2
[8,9] Let
5 Proofs of the results
We will use in the proofs, without references, the following inequalities:
and
when
We also note that for
5.1 Proof of Theorem 1
It is clear that
for an odd
for an even
We will consider in detail the term
Using the integration by parts we obtain
Using Lemma 1 we have for
Therefore,
and by (2) we obtain
Furthermore, by Lemma 2,
By standard calculations we have
Since
taking into account the estimates
where
when
when
Hence,
Using (8)
Similarly, we can show
If
and if
Finally,
and using (9) we obtain
Similarly, we can obtain the estimate
It is clear that
Using (11) we obtain
Moreover, applying equality (13) and the inequalities: (14),
where
when
Therefore,
when
Using (18), (19) instead of (12), (15) we can estimate the quantity
Collecting the partial estimates we obtain (3).
5.2 Proof of Theorem 2
As usual
for an odd
for an even
We will consider in detail the term
and
We know that
Analogously as in the proof of Theorem 1 using (12)
whence
Furthermore, by Lemma 2, similar to the proof of Theorem 1
Thus using (16), (17), and (10)
and therefore by (8)
Analogously, we can obtain the estimates of
Collecting the partial estimates we obtain that (4) holds.
5.3 Proof of Theorems 3
Similar to the proof of Theorem 1 we have
and
By (2),
Next, by Lemma 2, we obtain
Furthermore,
and analogously
Therefore,
and
Analogously we can obtain the estimates of
Collecting the partial estimates we obtain that (7) holds. The proof of estimate (6) is analogous to the above. This ends our proof.
5.4 Proof of Theorem 4
Taking into account estimates (7) and (6) from Theorem 3 and using property (1) the desired result follows immediately.
6 Conclusion
We proved very general estimates of the deviations
-
Funding information: Not applicable.
-
Author contributions: This study was carried out in collaboration with equal responsibility. All authors read and approved the final manuscript.
-
Conflict of interest: The authors declare that they have no competing interests.
-
Data availability statement: Not applicable.
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© 2022 Vishnu Narayan Mishra et al., published by De Gruyter
This work is licensed under the Creative Commons Attribution 4.0 International License.
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