The Lower Fourier Dimensions of In-Homogeneous Self-similar Measures
The in-homogeneous self-similar measure μ is defined by the relation μ = ∑ j = 1 N p j μ ∘ S j - 1 + p ν , where ( p 1 , … , p N , p ) is a probability vector, each S j : R d → R d , j = 1 , … , N , is a contraction similarity, and ν is a Borel probability measure on R d with compact support. In thi...
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Veröffentlicht in: | The Journal of fourier analysis and applications 2023-10, Vol.29 (5), Article 55 |
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Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
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Zusammenfassung: | The in-homogeneous self-similar measure
μ
is defined by the relation
μ
=
∑
j
=
1
N
p
j
μ
∘
S
j
-
1
+
p
ν
,
where
(
p
1
,
…
,
p
N
,
p
)
is a probability vector, each
S
j
:
R
d
→
R
d
,
j
=
1
,
…
,
N
, is a contraction similarity, and
ν
is a Borel probability measure on
R
d
with compact support. In this paper, we study the asymptotic behavior of the Fourier transforms of in-homogeneous self-similar measures. We obtain non-trivial lower and upper bounds for the
q
th lower Fourier dimensions of the in-homogeneous self-similar measures without any separation conditions. Moreover, if the IFS satisfies some separation conditions, the lower bounds for the
q
th lower Fourier dimensions can be improved. These results confirm conjecture 2.5 and give a positive answer to the question 2.7 in Olsen and Snigireva’s paper (Math Proc Camb Philos Soc 144(2):465–493, 2008). |
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ISSN: | 1069-5869 1531-5851 |
DOI: | 10.1007/s00041-023-10037-z |