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Title: Limits of functions
Description: 15 pages with all the information about limits: Definitions, theorems with proofs, lots of solved examples

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ON THE EXTENSION OF MUCKENHOUPT WEIGHTS IN METRIC SPACES

arXiv:2012
...
CA] 25 Oct 2021

EMMA-KAROLIINA KURKI AND CARLOS MUDARRA
Abstract
...
We give a complete and self-contained proof of this theorem generalized
into metric measure spaces supporting a doubling measure
...


1
...
In addition to Ap weights being ubiquitous in harmonic analysis,
weighted norm inequalities have applications in the study of regularity of certain partial differential
equations
...

Our main result is the following theorem that provides an abstract starting point for the investigation of extensions
...
Wolff
...
An outline of the Euclidean proof can be
found in [9], Theorem 5
...
However, the metric setting brings about technical challenges that are
not present in the Euclidean case
...
1
...
Then, for 1 < p < ∞, the following statements are equivalent
...
e
...

(1)
w
dµ
sup
µ(B) B∩E
µ(B) B∩E w1+ε
B⊂X
B ball

In addition, whenever p = 1, the condition (ii) takes the following form: There exists a constant
C > 0 such that
Z
1
w1+ε dµ ≤ C ess inf w1+ε
B∩E
µ(B) B∩E
(E-K
...
) Aalto University, Department of Mathematics and Systems Analysis, P
...
BOX 11100,
FI-00076 Aalto, Finland
(C
...
) Aalto University, Department of Mathematics and Systems Analysis, P
...
BOX 11100, FI00076 Aalto, Finland
E-mail addresses: emma-karoliina
...
fi, carlos
...
mudarra@jyu
...
mudarra@aalto
...

Date: October 26, 2021
...
30L99, 42B25, 42B37
...
Muckenhoupt weight, metric measure space, doubling condition
...
E
...
Kurki was funded by a young researcher’s grant from the Emil Aaltonen Foundation
...

Mudarra acknowledges financial support from the Academy of Finland
...

1

for every ball B ⊂ X
...
13) for measurable sets in a metric space supporting a doubling measure
...
We have chosen to call these
classes induced Ap weights; see Definition 2
...
It is not obvious at the outset whether all
properties of globally defined weights hold true for this class as well
...
In particular, we need to show that the
restricted maximal function is bounded on Lp (E, w) when the weight w belongs to the induced Aq
class for some q < p (Theorem 2
...
The proofs of this theorem in the whole space are based either
on Calderón-Zygmund decompositions on cubes (when X = Rn ) or on Vitali-type coverings of the
distributional sets of the maximal function
...
e
...

The reader might wonder why we need to assume the Muckenhoupt-type condition (1) for w1+Ç«
instead of simply stating the corresponding condition for w
...
12)
...
11)
...
However, it is unclear whether the induced classes of weights satisfy a
RHI, since it is yet again impossible to control the measures of the relative balls B ∩ E in terms of
those of B
...
This technicality destroys our ability to compute
the averaged integrals that would lead to the RHI
...
Muckenhoupt weights in
particular are discussed in [12] and [28]
...
For
recent results concerning reverse Hölder inequalities for A∞ weights or strong Ap weights, as well
as versions of the Gehring lemma in various spaces, see the articles [1–3, 7, 8, 19, 20, 22–24, 26]
...
1
...
One might ask what are the
subsets E and weights w that satisfy (1) and consequently possess an extension to the entire space
...
Holden [17], working in Rn , has verified (1) for weights in Ap (E) under additional geometric
assumptions on the set E
...
1
...
In particular, Lemma 4
...
In [17], this lemma is used to recover the Euclidean equivalent of Theorem
1
...

2
...
In addition, we
assume that the nontrivial Borel regular measure µ satisfies the doubling condition: there exists a
constant Cd = Cd (µ) > 1 only depending on µ such that
0 < µ (2B) ≤ Cd µ (B) < ∞
2

(2)

for all balls B ⊂ X
...
In particular, we assume
that every ball in X has positive and finite measure
...
This implies that X is
locally compact and proper, which in turn means that every closed and bounded subset of X is
compact
...
Observe that in general,
the center and the radius of a ball B are not uniquely determined by B as a set
...

For any two nonnegative numbers A and B, if there exists a constant C ∈ (0, ∞) such that A ≤
CB, we write A
...
Furthermore, we write A ≈ B whenever there exist constants C1 , C2 ∈ (0, ∞)
such that C1 A ≤ B ≤ C2 A
...

Whenever E ⊂ X is a measurable subset and the function f is integrable on every compact subset
of E we say that f is locally integrable on E, denoted f ∈ L1loc (E)
...
[28] In practice, we
assume w to be positive almost
everywhere in E
...

For the purposes of Theorem 2
...

weights on a subset, which we denote by A

Definition 2
...
On a metric space X, let E ⊂ X be a measurable subset with µ(E) > 0
...
If 1 < p < ∞, we say that w ∈ A
!p−1

  1

Z
Z
1
1 p−1
1
w dµ
dµ
< ∞
...
We denote by JwK1 the infimum of the C > 0 for which the inequality (4)
holds
...
Whenever E = X, the above classes coincide with Muckenhoupt weights as usually defined
...
Notice that it is not possible
to reduce (3) to the Ap (X) condition e
...
by replacing w with XE w
...
2
...
Whenever E ⊂ X is a measurable
set and x ∈ E, we also define a maximal function relative to the set E by
Z
1
|f | dµ
...
These correspond to well-known results for Ap weights in Rn
...

Throughout the rest of this section (X, d, µ) will denote a complete metric measure space, with the
measure µ satisfying doubling condition (2) and thus all the properties mentioned at the beginning
of the section
...
502
...
3
...
If w ∈ A
mE w(x) ≤ JwK1 w(x) for almost every x ∈ E
...
The first inequality is a consequence of the Lebesgue differentiation theorem for µ
...
4
...
We aim to show that µ(A) = 0
...
Define a countable collection of
balls F = {B(zk , q) : k ≥ 1, q ∈ Q+ }
...

JwK1 w(x) < (1 − δ)
µ(B) B∩E

For every ε ∈ (0, 1) denote Bε = B(z, (1 − ε)r)
...
If ε ∈ (0, 1) is small enough so that x ∈ Bε and µ (B \ Bε ) ≤ η,
then (B\Bε )∩E w ≤ δ B∩E w
...
The
R triangle inequality gives the inclusions
Bε ⊂ B ′ ⊂ B, implying that x ∈ B ′ and (B\B ′ )∩E w ≤ δ B∩E w
...

B ∩E
µ(B) B∩E
µ(B ′ ) B ′ ∩E
We have shown that w(x) < ess inf B ′ ∩E w, which means that xSbelongs to the set DB ′ = {y ∈
B ′ ∩ E : w(y) < ess inf B ′ ∩E w}, where µ(DB ′ ) = 0
...


We remark that the above proposition remains true if the maximal function mE is defined by
taking a supremum over closed balls instead
...

The next lemma follows from Proposition 2
...
13 below
...
4
...
Here
wXE is the function in X that coincides with w on E and vanishes outside E
...
It is immediate that wXE ∈ L1loc (X) because B∩E w is finite for every ball B ⊂ X
...
3 implies that M (wXE )(x) = mE w(x) < ∞ for a
...
x ∈ E
...
Defining
A = {y ∈ E : mE w(y) ≤ JwK1 w(y) < ∞},
4

Proposition 2
...
For a
...

x ∈ X \ A, the Lebesgue differentiation theorem states that
Z
1
lim
wXA dµ = wXA (x) = 0,
B∋x µ(B) B
r(B)→0

and thus there exists a radius rx > 0 such that
Z
1
wXA dµ ≤ 1
...
For such a ball B it clearly holds that d (x, A) ≤ 2r(B), and consequently
r(B) ≥ max{rx , d (x, A)/2}
...
Denoting by z the center of B, we have
d (y0 , z) ≤ d(y0 , x) + d(x, z) < max{rx , 2 d (x, A)} + r(B) ≤ 4r(B) + r(B) = 5r(B),
and hence y0 ∈ 5B
...

′
µ(B) B
µ(5B) 5B
B ′ ∋y0 µ(B ) B ′ ∩A
We conclude that M (wXA )(x) < ∞ for almost every x ∈ X
...

ep (E), and
Lemma 2
...
Let E ⊂ X be a measurable set with µ(E) > 0
...
Also, if q ≥ 1, v ∈ A
q
y
eq (E) with v δ
ep (E) ⊂ A
eq (E) for every
and δ ∈ [0, 1], then v δ ∈ A
≤ JvKδ
...


Proof
...
Let A ⊂ X be measurable, 0 ≤ s ≤ 1, and
h ∈ L1 (A)
...

A

A

1)−1

Since the exponents δ and δ(p − 1)(q −
are in [0, 1], we can apply (5) to obtain
δ
Z
Z
v δ dµ ≤ µ(B ∩ E)1−δ
v dµ ,
B∩E

Z

B∩E

(6)

B∩E



1
vδ



1
q−1

  δ(p−1)
1 (q−1)(p−1)
1− δ(p−1)
q−1
dµ =
dµ ≤ µ(B ∩ E)
v
B∩E
Z

! δ(p−1)
  1
q−1
1 p−1
dµ

...
Then (6) and (7) lead to
!q−1
  1
Z
Z
q−1
1
1
dµ
v δ dµ
µ(B)q B∩E
vδ
B∩E
!δ(p−1)
  1
δ Z
Z
1 p−1
µ(B)q−δp
≤
v dµ
dµ
≤ JvKδp ,
µ(B)q
v
B∩E
B∩E
5

e1 (E), and q > 1, using first (5)
which proves the statement for p > 1
...
Applying
p

p

eq (E) and
again Lemma 2
...
Notice that q1 < p and q2 < p
...
8 applied first with v and q1 , and then with
2
E
 v
′
p
p
−1/(p−1)
a bounded operator both in L (E, v) and L E, v
, with norms bounded by constants
depending only on r, p, and Jv r Kp
...

T f = v m E v p f p′
7

This is a bounded operator in Lp (E), which can be verified by applying Proposition 2
...

v p |f |p v p−1 dµ =
|f |p dµ,
m E v p f p′
dµ =
E

E

E

E

Lp (E)

E

Z 
Z
Z
 1 p
 1 p
1
−
−
v p mE v p f
mE v p f v dµ(x)
...

dµ =
E

P∞

−k

E

T kf
...
The operator T is subadditive since p/p′ ≥ 1,
so
∞
∞
X
X
Tη ≤
(2c)−k T k+1 f =
(2c)1−k T k f ≤ 2cη
...

m E v2 = m E v η ≤ v
v m E v p η p′
′

In the case 1 < p < 2, we instead factorize v 1−p = v1 v21−p as above, and raise this equation to
the power 1/(1 − p′ )
...

We will not be needing the reverse statement
...
10
...
e
...
Then, the weight g (M f )ε = w
belongs to A1 (X)
...
Since g, g−1 ∈ L∞ (X), it is enough to show that for every ball B ⊂ X and x ∈ B
Z
1
(M f )ε dµ ≤ C(M f )(x)ε ,
µ(B) B

(9)

where the constant C depends on ε and the doubling constant Cd
...
Then, owing to subadditivity of the maximal function, we have
(M f )ε ≤ (M f1 )ε + (M f2 )ε
...
Beginning with (M f1 )ε , by Cavalieri’s principle we have
Z
Z ∞
1
1
ε
(M f1 )(y) dµ(y) =
εtε−1 µ ({y ∈ B : M f1 (y) > t}) dt
µ(B) B
µ(B) 0

Z a
Z ∞
1
=
···
...

µ(B) 0
µ(B) 0
8

(10)

As for the second, Proposition 2
...

≤
εt
·
µ(B) a
t
1−ε
µ(B) 4B
X
R
We choose a = µ(B)−1 4B |f | dµ and combine the two parts
...
Then (10)
becomes

ε 

Z
Z
1
1
C(µ)ε
ε
(M f1 )(y) dµ(y) ≤
|f (y)| dµ(y)
1+
µ(B) B
µ(B) 4B
1−ε
ε


Z
µ(4B) 1
C(µ)ε
|f (y)| dµ(y)
= 1+
1−ε
µ(B) µ(4B) 4B


Z
ε
1
|f (y)| dµ(y) ≤ C(M f )(x)ε ,
≤ C(µ, ε)
µ(4B) 4B
where we have used the fact that µ satisfies the doubling condition (2)
...
Let x, y ∈ B = B(z, r) and let B ′ = B(z ′ , r ′ ) be another ball containing y
...
We claim that r â‰
Title: Limits of functions
Description: 15 pages with all the information about limits: Definitions, theorems with proofs, lots of solved examples