1. Introduction
In this paper, we study the relationship between the coarse isometry and linear isometry of Banach spaces by using the coarse left-inverse operators. Throughout this article, we consider X and Y as real Banach spaces. We first recall the definitions of coarse isometry and coarse left-inverse operator.
Definition 1. Let be a mapping. Put (1) f is said to be a coarse isometry if ;
(2) We say that f is an ε-isometry if ;
(3) f is called an isometry if for all ;
(4) f is called standard if .
Definition 2. Let be a standard mapping, , and let be a bounded linear operator satisfying and (1) T is called a coarse left-inverse operator of f if f is a coarse isometry;
(2) T is said to be an ε-left-inverse operator of f if f is an ε-isometry;
(3) We say that T is a Figiel operator of f if f is an isometry.
Isometry, -Isometry and Linear Isometry In 1932, Mzaur and Ulam [
1] gave a remarkable result which says that every standard surjective isometry
must be linear. Further, in 1968, Figiel [
2] showed that every standard isometry
can admit a Figiel operator.
In 2003, Godefroy and Kalton [
3] obtained a result concerning isometry and linear isometry with the help of the Figiel operator. They proved that the Figiel operator
T has a linearly isometric right inverse if
X is separable. That is, there is a linear isometry
satisfying
for all
. However, even if
X is a non-separable Hilbert space, they can construct a Banach space
Y and a nonlinear isometry
such that no subspace of
Y can be linearly isomorphic to
X. This implies that there cannot exist an isometric right inverse for
T that preserves linearity. In 2015, Zhou et al. [
4] obtained a necessary and sufficient condition for the existence of linear isometric right inverses of the Figiel operator. For more details on isometry and linear isometry, see [
5,
6,
7,
8] and references therein.
In 1945, the concept of
-isometry was first introduced by Hyers and Ulam [
9]. They posed the following question: given two Banach spaces
and a positive constant
a, is it possible to find a surjective linear isometry
that corresponds to every standard surjective
-isometry
, such that
After the fifty years’ efforts of many mathematicians (see, for example, [
10,
11,
12]), Omladič and Šemrl [
13] finally answered this question in the affirmative with the sharp estimate
.
In 2013, Cheng, Dong and Zhang [
14] derived a remarkable result called the weak stability formula, which is inspired by the Figiel theorem [
2] and other important results on non-surjective
-isometries (see [
15,
16]). It has attracted considerable attention from many researchers (see [
5,
14,
17,
18,
19,
20,
21]); for instance, by means of the invariant mean techniques and the weak stability formula, Cheng and Zhou [
5] showed that, if
Y is reflexive, then there exists a linear isometry
for every standard
-isometry
. Further, by using the
-left-inverse operators, Zhou et al. [
22] investigated the connection between the
-isometry and linear isometry of general Banach spaces.
Coarse Isometry and Linear Isometry The large perturbation function, first studied by Lindenstrauss and Szankowski [
23] in 1985, is defined as
and the following asymptotic stability result is obtained.
Theorem 1. (Lindenstrauss and Szankowski) Let be a surjective standard coarse isometry. Ifthen there exists a linear surjective isometry such that Meanwhile, they constructed two non-isometric uniformly convex spaces
and a coarse isometry
with
. This reveals that a coarse isometric embedding does not imply an isometric embedding when (
2) is invalid. In addition, Benyamini and Lindenstrauss showed that conclusion (
3) may fail when
even for coarse isometries of the Euclidean plane
onto itself (see [
24], on page 367). Further, Dolinar [
25] proved that Theorem 1 also holds if the condition
is substituted by a weaker condition
This implies that, in order to establish the connection between coarse isometry and linear isometry, the integral convergence condition (
4) is essential.
In 2019, Cheng et al. [
26] first gave a stability result of non-surjective coarse isometries between uniformly convex spaces. Recently, Sun and Zhang [
27] studied the relationship between weak stability and the stability of coarse isometries of
spaces. Further, they also proved that the surjective assumption in Theorem 1 can be removed when
X and
Y are both finite dimensional spaces with equal dimensions (see [
28], on page 1496).
In this article, we mainly study the relationship between the coarse isometry and linear isometry of varieties of Banach spaces by using the coarse left-inverse operators. This paper has the following structure.
In
Section 2, inspired by Zhou et al. [
22], we prove that the existence of linearly isometric right inverses for coarse left-inverse operators is closely related to a continuous linear projection with respect to weak star topology under the integral convergence condition (
4). Using this result, we generalize an isometry result which was established by Zhou et al. [
4] and obtain a stability result of coarse isometries.
For a standard coarse isometry
, where
K is a compact Hausdorff space, in
Section 3, we show that, with condition (
4), if
, then there exist a non-empty closed subset
contained in
K and a linear isometry
satisfying
In addition, if
K is metrizable, we obtain that
is a linear isometry and
where
is a simultaneous extension operator. These results generalize several known results in [
29,
30].
Let
be a measure space. In
Section 4, by means of the properties of a free ultrafilter on
, we prove that for a standard coarse isometry
where
Y is the
space or
, every coarse left-inverse operator of
f corresponds to a linearly isometric right inverse. The conditions about continuous linear projection with respect to weak star topology and (
4) can be removed.
In this paper, all symbols are standard. denotes and is the dual space of X; the letters and denote the unit sphere and the closed unit ball of X, respectively. The symbol represents the conjugate operator of a bounded linear operator T and denotes the range of . In addition, we say that is -to- continuous if R is continuous with respect to the weak star topology on and .
2. Right Inverse of General Banach Spaces
In the following, we give two lemmas.
Lemma 1. Let be a standard coarse isometry and let T be a coarse left-inverse operator of f. Then, is a -to- continuous linear isometry.
Proof. Given
, we have
because of
. On the other hand, to each
corresponds a point
in
so that
. Due to (
1), we obtain
Then,
So, there exists
so that
for all
. This implies
. In fact, if
, then
for each
. It follows that there exists
such that
for each
. Since
f is a standard coarse isometry, we have
This implies that
for some
. Then,
; this is a contradiction. Since
is arbitrary, we have
. Consequently,
. This means that
is a
-to-
continuous linear isometry. □
The following lemma presents a stability result for functional equations, known as the Hyers–Ulam–Rassias stability, which was established by Gǎvruta [
31]. For more information on this topic, see [
32,
33] and related references.
Lemma 2. (Gǎvruta) Let G be an Abelian group, Y be a Banach space and let satisfyingIf a function satisfiesthen there is a unique additive function so thatwhere . The following results of coarse isometries are inspired by Zhou et al. [
22] (Theorem 2.1).
Proposition 1. Let be a standard coarse isometry and let T be a coarse left-inverse operator of f. If there is a linear isometry such that , then is a -to- continuous linear projection and .
Proof. According to Lemma 1,
is a
-to-
continuous linear isometry. It follows that
is
-to-
continuous with
. Moreover,
Thus,
is a linear projection. The proof is completed. □
Theorem 2. Let be a standard coarse isometry and let T be a coarse left-inverse operator of f. If there is a -to- continuous linear projection with andthen there is a linear isometry such that . Furthermore, if f is almost surjective, i.e.,then the above linear isometric mapping U is unique and . In addition, if are two -to- continuous linear projections with and , then . Proof. Step I. First, we define the mapping
with
Indeed, since
is a
-to-
continuous linear projection,
is
- continuous for each
. This entails that
is
-continuous. Then,
.
On the one hand, by the definition of
J, we have
On the other hand,
is a linear isometry by Lemma 1. Then, for each
,
It follows from
and the inequality above that
By comparing (
9) with (
10), we obtain
Next, we prove that
satisfies the following functional equation
Given each
, we can choose
such that
Since
is a surjective linear isometry, there exists
such that
and
. Because of (
8),
and the increasing nature of
, we have
Thus, (
12) holds.
Step II. We show that the limit
exists for each
and that
is a linear isometry with
.
Firstly, we prove that
exists for all
. Let
Since
and, for each nonzero element
, there exists
such that
This implies
Therefore,
and
for each
. Due to (
12) and Lemma 2, there is an additive mapping
satisfying
and
In what follows, we will prove that
U is a linear isometry and
. Note that, for each
,
Then,
This entails that
U is a 1-Lipschitz mapping and then
U is a continuous linear operator. From (
11),
Consequently,
U is a linear isometry. Moreover, by means of the definition of
T and
J, we obtain that, for each
,
Then,
.
Step III. We prove that
under the almost surjective assumption condition (
7). Given
, by (
7), there exist
with
and
satisfying
It follows that
and then
Since
f is a coarse isometry and
, we have
and
. Note that, for each
and
,
Since
the above inequality implies that
Consequently,
Then,
for each
. Thus,
.
Step IV. We first prove that the linear isometric mapping is unique. If not, there are two linear isometries with such that . We can find with . Then, there exists such that . This implies and then since is a linear isometry. This is contrary to .
In addition, suppose that are two -to- continuous linear projections with and , then . This entails that and then . □
In particular, if
is an
-isometry for some
, Theorem 2 also holds when we weaken the almost surjective condition (
7) to
. For the proof one can refer to Zhou et al. (see [
22], on page 756). Furthermore, if
for all
,
f is a standard isometric mapping. We obtain the following result without the surjectivity condition (
7).
Corollary 1. [4] (Theorem 2.1) Suppose that is a standard isometry and that T is a Figiel operator of f. (1) If is a linear isometry with , then is a -to- continuous linear projection and .
(2) If is a -to- continuous linear projection with , then there exists a unique linear isometry such thatFurthermore, if are two -to- continuous linear projections with and , then . Proof. (1) It can be proved by Proposition 1.
(2) By the proof of Theorem 2, we just need to verify
without the almost surjective assumption condition (
7). For each
and
,
This implies
for all
. Thus,
. □
This section concludes with a stability result for coarse isometries using Theorem 2.
Theorem 3. Let be a standard coarse isometry with (7) and let T be a coarse left-inverse operator of f. Ifthen there is a surjective linear isometry such that Proof. Firstly, we prove that
is surjective, i.e.,
. Otherwise,
is a proper
-closed subspace of
by Lemma 1. We choose
and
so that
Due to (
7), there exist two sequences
and
with
so that
This entails that
. For the sequence
above, let
with
and let
. Then,
Since
, we have
. Thus,
Putting
in the inequality above,
This is a contradiction. Then,
.
Let
. Note that
is a
-to-
continuous linear projection with
. By Theorem 2 and (
14), there is a linear isometry
such that
This implies
. Consequently,
is surjective and
□
3. Right Inverse of Spaces of Continuous Functions
In this section, K is a compact Hausdorff space and represents the set of all continuous functions on K with real values, equipped with the supremum norm. For each , let be the point mass at t; then, for all . We use to denote the sets of all extreme points of . Note that . Given a topological subspace and , the notion denotes the restriction of to .
First, we give a weaker condition than the existence of a continuous linear projection with respect to the weak star topology.
Proposition 2. Suppose that is a standard coarse isometry and that T is a coarse left-inverse operator of f. If there is a -to- continuous linear projection , then .
Proof. Since is a -to- continuous linear projection, there exists a -closed subspace M of such that . If , it follows from Lemma 1 that . This entails that by the Krein–Milman theorem. Then, ; this is a contradiction. □
Theorem 4. Let be a standard coarse isometry and let T be a coarse left-inverse operator of f. If andthen there is a non-empty closed subset and a linear isometry so that Proof. Since
T is a coarse left-inverse operator,
for all
Note that
; there exist
,
and
such that
. It follows that
Let
From the discussion above, we have
. Next, we prove that
is closed. Indeed, for each net
with
, there exist a net
and
such that
Since
is
-compact, there exist a subnet
of
and
such that
. Therefore, for each
,
Note that
and
are independent of
x. This implies
. Hence,
is closed.
Given
, there exist
and
such that, for each
,
Thus,
According to the proof of Step II in Theorem 2 and Lemma 2, we can conclude that the function
, defined as
is a continuous linear operator with
.
Now, we shall prove that
is an isometric mapping. Let
; there exists
such that
. Due to (
15), there exist
and
such that
This implies that
Then,
. This implies that
. Therefore,
is a linear isometry.
Finally, we prove that
According to (
16), for each
, there exist
and
such that
Then,
This entails that
Combining (
18) and (
19), we have
□
If
is an isometry,
T is a Figiel operator of
f. By Theorem 2.4 in reference [
21], for each
, there exist
and
satisfying
for all
. This entails that all conditions of Theorem 4 are satisfied naturally when
f is a standard isometry. At the same time, the linear isometry
is actually the restriction of
f to
, that is,
. Then, we obtain the following result by Theorem 4.
Corollary 2. [29] (Theorem 1.1) Let be a standard isometry. Then, there is a non-empty closed subset such that is a linear isometry. In the following, we recall the definition of simultaneous extension operators.
Definition 3. Let be a continuous linear operator, where is a non-empty closed subset. We say that E is a simultaneous extension operator if, for every , is an extension of g from to K.
Lemma 3. [24] (Theorem 1.21) Let be as above and assume that is metrizable. Then, there exists a simultaneous extension operator with and . Note that the operator
E in Lemma 3 is a linear isometry if
is metrizable. But Lemma 3 is not necessarily true when
is not metrizable, see [
34,
35]. Then, the following result is presented.
Theorem 5. Let K be a compact metric space. Suppose that are as in Theorem 4, and that E corresponds to Lemma 3. Then, is a linear isometry and From Theorem 5 and Corollary 2, the following result, established by Villa, can be derived.
Corollary 3. [30] (Theorem 2) Assume that K is a compact metric space and that is a standard isometry. Then, there is a non-empty closed subset such that is a linear isometry. 4. Right Inverse of Spaces and Finite Dimensional Spaces
In this section, we will show that every coarse left-inverse operator has a linearly isometric right inverse without other additional conditions when target space Y is the space or , where is a measure space.
To begin with, we give the following lemma of
spaces which was proved by Sun and Zhang (see [
27], on pages 10–11).
Lemma 4. [27] (Theorem 2.12) Let be a measure space. Assume that is a standard coarse isometry and that for each there exists satisfyingThen, there exists a linear isometry such that By using Lemma 4 above, the following result can be shown.
Theorem 6. Let be a measure space. Assume that is a standard coarse isometry and that T is a coarse left-inverse operator of f. Then, there exists a linear isometry such that Proof. Since
T is a coarse left-inverse operator of
f,
Then, for each
,
Put
. Then,
by Lemma 1 and then (
20) holds. By Lemma 4, we obtain a linear isometry
with
Then,
□
For the case of finite dimensional spaces, we first recall some definitions of free ultrafilters.
Definition 4. Let Γ be a non-empty set and let be a family of subsets of Γ.
(i) We say that is a free ultrafilter on Γ if the following conditions are satisfied. (1) ; (2) if , then ; (3) if and , then ; (4) ; (5) if , then either or .
(ii) Given a topological space , we say a mapping is -convergent to some and denoteif for every neighborhood W of w. The following property is fundamental for free ultrafilters.
Proposition 3. Let Γ, and be as in Definition 4. If the topological space is compact, then every mapping is -convergent.
For more details of free ultrafilters we refer to [
36]. In what follows, we will be interested in
.
Theorem 7. Let be a standard coarse isometry with and let be a free ultrafilter on . Suppose that is a linear operator satisfying andwhere is a basis. Then, there is a surjective linear isometry such that Proof. Given
, since
f is a standard coarse isometry, we obtain
This implies
is bounded and then
is relatively compact. Thus, the mapping
defined by
is an isometry. Indeed, for each
,
Since
X is complete,
is a closed subspace of
Y. According to the domain invariance theorem,
is also an open subspace of
Y and then
. This means that
U is a surjective standard isometry and then
U is linear. Combining (
21) and (
22), we have
Then,
. The proof is completed. □
Remark 1. Note that (21) is weaker than the condition that T is a coarse left-inverse operator of f. Corollary 4. Let be a standard coarse isometry with and let T be a coarse left-inverse operator of f. Then, there is a surjective linear isometry such that .
5. Conclusions
Lindenstrauss and Szankowski [
23] noted that a coarse isometry between infinite-dimensional uniformly convex spaces cannot result in a linear isometry without additional conditions. Therefore, when studying coarse isometric embeddings and linear isometric embeddings, an additional assumption is usually made. This paper explores the relationship between coarse isometries and linear isometries of various Banach spaces under the assumption of coarse left-inverse operators. Our conclusions generalize some well-known isometric results, for example, see Corollary 1 ([
4] Theorem 2.1), Corollary 2 ([
29] Theorem 1.1) and Corollary 3 ([
30] Theorem 2).
As a future research direction, we suggest the following:
1. What is the class of coarse isometries that has a coarse left-inverse operator?
2. If is a coarse isometry, is there another condition that guarantees the existence of a linear isometry from X to Y?
3. If is an -isometry, does there exist an isometry from X to Y?
4. We will extend our results to the case where Y is a Bochner space.