Abstract
In this paper, we deal with one of the basic problems of the theory of autonomous superposition operators acting in the spaces of functions of bounded variation, namely the problem concerning their continuity. We basically consider autonomous superposition operators generated by analytic functions or functions of \(C^1\)class. We also investigate the problem of compactness of some classical linear and nonlinear operators acting in the space of functions of bounded variation in the sense of Jordan. We apply our results to the examination of the existence and the topological properties of solutions to nonlinear equations in those spaces.
Similar content being viewed by others
Avoid common mistakes on your manuscript.
1 Introduction
In the recently published monograph [2], on p. 6 there are stated three basic problems concerning nonautonomous superposition operators acting in the space of functions of bounded variation in the sense of Jordan. The first problem concerns necessary and sufficient conditions which would guarantee that the nonautonomous superposition operator maps the space of functions of bounded variation in the sense of Jordan into itself and is locally bounded. In the paper [7] Bugajewska et al. have given the answer to this problem proving, in particular, the following
Theorem 1
Suppose that \(f:[0,1]\times {\mathbb {R}}\rightarrow {\mathbb {R}}\) is a given function. The following conditions are equivalent:

1.
the nonautonomous superposition operator F, generated by f, maps the space BV[0, 1] into itself and is locally bounded;

2.
for every \(r>0\), there exists a constant \(M_r>0\) such that for every \(k \in {\mathbb {N}}\), every finite partition \(0=t_0<\cdots <t_k=1\) of the interval [0, 1] and every finite sequence \(u_0, u_1,\ldots , u_k \in [r,r]\) with \(\sum _{i=1}^k u_i  u_{i1}\le r\), the following inequalities hold
$$\begin{aligned} \sum _{i=1}^k\bigl f(t_i,u_i)f(t_{i1},u_i)\bigr  \le M_r \quad \quad \text {and} \quad \sum _{i=1}^k\bigl f(t_{i1},u_i)f(t_{i1},u_{i1})\bigr  \le M_r. \end{aligned}$$
(In the above theorem, BV[0, 1] denotes the Banach space of all functions \(x :[0,1] \rightarrow {\mathbb {R}}\) of bounded variation in the sense of Jordan endowed with the norm \(\left\ x\right\ _{BV}=x(0)+ \bigvee _0^1 x\); for more details see Sect. 2.)
The third problem mentioned in the monograph [2] concerns the continuity of autonomous and nonautonomous superposition operators described above. In connection with this problem, we would like to draw the reader’s attention to the paper by Morse [23]. In Remark 5, we provide more comments on Morse’s results contained in that paper.
In the first part of this paper, we deal with the continuity of autonomous superposition operators acting in the space of functions of bounded variation in the sense of Jordan. In particular, we prove that if the generator of an autonomous superposition operator is analytic or of \(C^1\)class, then that operator is continuous. Let us emphasize that our approach to the problem of continuity of autonomous superposition operator is much simpler than that proposed by Morse. It is based on some techniques developed by us in connection with the investigation of mappings of higher order in the spaces of functions of bounded variation in the sense of Jordan as well as on Bernstein polynomials.
In Chapter 7 of the monograph [2], the authors discuss some applications of functions of bounded variation and nonlinear superposition operators acting in such spaces of functions to the theory of nonlinear integral equations. These applications contain and develop the existence and uniqueness results from the paper [8]. Let us also add that the proofs of all those results are based on the Banach contraction principle.
In this paper, we are going to establish that the basic conditions considered in the paper [8] imply the compactness of the Hammerstein integral operator as well as the Volterra–Hammerstein integral operator. As a consequence of this fact, one can use the Schaudertype fixedpoint theorems to prove the existence of solutions to nonlinear integral equations under consideration in the classes of functions of bounded variation in the sense of Jordan. In the case of nonlinear Volterra–Hammerstein integral equation, we are also able to describe the topological structure of continuous solution sets to that equation which are of bounded variation in the sense of Jordan. According to our best knowledge, it is the first attempt to establish an Aronszajntype result for such solutions.
Let us emphasize that the investigation of solutions to nonlinear integral equations in the spaces of functions of bounded variation seems to be interesting for at least a few reasons. First, solutions to many nonlinear equations which describe concrete physical phenomena are functions of bounded variation in the sense of Jordan. We refer the reader to the papers [5] and [18] in which the authors deal with bounded variation solutions to nonlinear Volterra integral equations which describe, in particular, models of behavior of population, where a probability of death depends on age.
Finally, let us mention that functions of bounded variation also possess essential applications, for example, in the geometric measure theory (see, e.g., [1, 22]), in image processing, analysis and recovery (see, e.g., [11, 12, 15, 16, 27]) or in the theory of Fourier series (see [30]). Let us add that some of those applications are based on the usage of the Mumford–Shah functional.
2 Preliminaries
Notation
By \({\mathbb {N}}\), we denote the set of positive integers. Moreover, throughout the paper by I, we will denote the unit interval [0, 1].
The closed ball in a normed space X with center at x and radius \(r \in (0,+\infty )\) will be denoted by \(B_X(x,r)\). For simplicity, instead of \(B_{{\mathbb {R}}}(x,r)\), we will simply write \([xr,x+r]\). As usual, by \(L^p(J)\) we will denote the Banach space of all the equivalence classes of realvalued functions defined on a bounded interval \(J \subseteq {\mathbb {R}}\) which are either Lebesgue integrable with pth power, if \(p \in [1,+\infty )\), or essentially bounded, if \(p=+\infty \), endowed with the norms \(\left\ f\right\ _{L^p} {\mathrel {\mathop :}=}\bigl (\int _J f(t)^p dt\bigr )^{1/p}\) and \(\left\ f\right\ _{L^{\infty }} {\mathrel {\mathop :}=}{{\mathrm{ess\;sup}}}_{t \in J}f(t)\), respectively. The Lebesgue measure will be denoted by \(\mu \). By B(I), we will denote the Banach space of all bounded functions \(x :I \rightarrow {\mathbb {R}}\), endowed with the supremum norm \(\left\ x\right\ _{\infty } = \sup _{t \in I}x(t)\), and by C(I) its closed subspace consisting of all the continuous functions defined on I.
Throughout the paper by ‘\(\int \),’ we will denote the Lebesgue integral.
In the next two subsections, we collect basic definitions and facts which will be needed in the sequel.
2.1 Functions of bounded variation
Definition 1
Let \(p \in [1,+\infty )\) and let x be a realvalued function defined on I. The number
where the supremum is taken over all finite partitions \(0=t_0<t_1<\cdots <t_n=1\) of I, is called the pvariation of the function x over I.
Remark 1
If \(p=1\), then the number \({{\mathrm{var}}}_1 x\) is often referred to as the variation in the sense of Jordan of the function x and usually is denoted by the symbol \(\bigvee _0^1 x\). If \(1 \le p \le q\), then \(({{\mathrm{var}}}_q x)^{1/q} \le ({{\mathrm{var}}}_p x)^{1/p}\) (see for example [13, Remark 2.5] or [21, p. 55]).
Definition 2
A function \(\phi :\mathbb [0,+\infty ) \rightarrow \mathbb [0,+\infty )\) is said to be a \(\phi \) function, if it is continuous, unbounded, nondecreasing and such that \(\phi (u)=0\) if and only if \(u=0\).
Definition 3
Let x be a realvalued function defined on I and let \(\phi \) be a given \(\phi \)function. The number
where the supremum is taken over all finite partitions \(0=t_0<t_1<\cdots <t_n=1\) of I, is called the \(\phi \) variation (or variation in the sense of Young) of the function x over I.
In the sequel, unless stated otherwise, we will assume that all the \(\phi \)functions are convex.
Remark 2
It is well known that the following vector spaces of functions of bounded variation become Banach spaces, when endowed with the indicated norms:

\(BV_p(I) =\bigl \{x :I \rightarrow {\mathbb {R}}:{{\mathrm{var}}}_p x<+\infty \bigr \}\) with the norm \(\left\ x\right\ _{BV_p}=x(0)+ ({{\mathrm{var}}}_p x)^{1/p}\);

\(BV_{\phi }(I)=\bigl \{x :I \rightarrow {\mathbb {R}}: x(0)=0\) and \({{\mathrm{var}}}_{\phi }({\uplambda }x)<+\infty \) for some \({\uplambda }>0\bigr \}\) with the norm \(\left\ x\right\ _{\phi }=\inf \{{\uplambda }>0:{{\mathrm{var}}}_{\phi }(x/{\uplambda })\le 1\}\)
(see [25, Theorem 3.21]).
Remark 3
Let \((X,\left\ \cdot \right\ _X)\) denote \((BV_p(I), \left\ \cdot \right\ _{BV_p})\) or \((BV_{\phi }(I), \left\ \cdot \right\ _{\phi })\). If \(x \in X\), then x is a Lebesgue measurable function (see [24, Theorem 10.7 (a) and Theorem 10.9]), and furthermore, there exists a positive constant \(c>0\) such that \(\left\ x\right\ _{\infty } \le c\left\ x\right\ _X\) for every \(x \in X\). For example, if \(X=BV_1(I)\), then \(c=1\).
2.2 Bernstein polynomials
Let us recall that the Bernstein polynomial of order \(n \in {\mathbb {N}}\) of a function \(f \in C(I)\) is defined by the formula
If \(a>0\) and \(f :[a,a] \rightarrow {\mathbb {R}}\), we can modify the formula (1) to obtain Bernstein polynomials of the function f on the interval \([a,a]\), which are given by the formulas
In the sequel, we will use the following properties of Bernstein polynomials.
Proposition 1
(cf. [19, Theorem 1.1.1]) Let \(a>0\) and let \(f :[a,a] \rightarrow {\mathbb {R}}\) be a continuous function. Then the sequence of Bernstein polynomials \((B_n^a(f))_{n \in {\mathbb {N}}}\) converges uniformly to f on \([a,a]\).
Proposition 2
(cf. [19, Section 1.8]) Let \(a>0\) and let \(f :[a,a] \rightarrow {\mathbb {R}}\) be a continuously differentiable function. Then the sequence of derivatives of Bernstein polynomials \((\frac{\text {d}}{\text {dt}}B_n^a(f))_{n \in {\mathbb {N}}}\) converges uniformly to \(f'\) on \([a,a]\).
Proposition 3
(cf. [19, Section 2.1]) Let \(a>0\) and \(q \in (1,+\infty )\). If \(f :[a,a] \rightarrow {\mathbb {R}}\) is an absolutely continuous function such that \(f' \in L^q[a,a]\), then the sequence of derivatives of Bernstein polynomials \((\frac{\text {d}}{\text {dt}}B_n^a(f))_{n \in {\mathbb {N}}}\) converges to \(f'\) with respect to the \(L^q\)norm.
Let us remark that the above properties were established in [19] for Bernstein polynomials of a function defined on the interval I, but they can be easily extended to Bernstein polynomials of functions defined on any interval of the form \([a,a]\).
For thorough treatment of approximation by Bernstein polynomials, we refer the reader to, for example, [14, 19].
3 Continuity of the autonomous superposition operator
Actually, the first result in this section is strongly connected with [9, Theorem 4.1] in which gives the necessary and sufficient condition for an autonomous superposition operator acting in the Banach space \(BV_1(I)\) to be a mapping of higher order.
Proposition 4
Let \(f :{\mathbb {R}} \rightarrow {\mathbb {R}}\) be a sum of a power series centered at 0 with the radius of convergence \(\rho =+\infty \), that is, there exist real numbers \(a_0,a_1,\ldots \) such that
Then the autonomous superposition operator F, generated by f, which maps the Banach space \(BV_1(I)\) into itself, is continuous.
Proof
Let us note that the operator F is well defined, since the function f satisfies a local Lipschitz condition (cf. also [3, Theorem 6.13, p. 174]).
For simplicity, let us denote
where \(u \in {\mathbb {R}}\) and \(u^0=1\). Furthermore, let \(x^0(t)\equiv 1\) and
Since \(BV_1(I)\) is a Banach algebra under certain norm equivalent to \(\left\ \cdot \right\ _{BV_1}\) (cf. [3, p. 173] and [21]), the mapping \(F_n :BV_1(I) \rightarrow BV_1(I)\) is continuous. Therefore, in order to show the continuity of F, it suffices to show that the sequence of mappings \((F_n)_{n \in {\mathbb {N}}}\) converges to F uniformly on bounded sets. Since the function \(u \mapsto (f_nf)(u)\) satisfies the Lipschitz condition on every interval \([a,a]\) with the constant \(L_n(a)=\sup _{u \in [a,a]}f'(u)  g_n(u)\), we obtain
where \(b=\left\ x\right\ _{BV_1}\). Hence
which shows that \(F_{n}(x) \rightarrow F(x)\) as \(n \rightarrow +\infty \) uniformly on \(B_{BV_1}(0,a)\), where a is an arbitrary but fixed positive real number. This ends the proof. \(\square \)
The assumption of the analyticity of the generator of the autonomous superposition operator which appears in Proposition 4 can be replaced by a weaker assumption that this generator is of \(C^1\)class.
Theorem 2
Let \(f :{\mathbb {R}} \rightarrow {\mathbb {R}}\) be a continuously differentiable function. Then the autonomous superposition operator \(F :BV_1(I) \rightarrow BV_1(I)\), generated by the function f, is continuous.
Proof
First, let us observe that the autonomous superposition operator F is well defined. In order to show its continuity, similarly to the proof of Proposition 4, we will approximate F by an almost uniformly convergent sequence of continuous mappings on \(BV_1(I)\).
For a given \(a>0\), let \(\varphi _a\) denote the restriction of the function f to the interval \([a,a]\), that is, \(\varphi _a(u)=f_{[a,a]}(u)\) for \(u \in [a,a]\). Moreover, let \(F_n :B_{BV_1}(0,a) \rightarrow BV_1(I)\) be the autonomous superposition operator generated by the nth order Bernstein polynomial \(B_n^a(\varphi _a)\) of the function \(\varphi _a\). Since \(BV_1(I)\) is a Banach algebra under certain norm equivalent to \(\Vert \cdot \Vert _{BV_{1}}\), the operators \(F_n\) are clearly continuous.
Now, we are going to show that the sequence \((F_n)_{n \in {\mathbb {N}}}\) converges uniformly to F on \(B_{BV_1}(0,a)\). Let us note that the function \(u \mapsto [fB_n^a(\varphi _a)](u)\) satisfies the Lipschitz condition on the interval \([a,a]\) with the constant \(L_n(a) = \sup _{u\in [a,a]} \bigl f'(u)\frac{\text {d}}{\text {du}}B_n^a(\varphi _a)(u)\bigr \), and hence, we have
Therefore, by Proposition 1 and Proposition 2, for \(x \in B_{BV_1}(0,a)\), we get
as \(n \rightarrow +\infty \), which ends the proof. \(\square \)
It turns out that a result similar to Theorem 2 may also be established for a wider class of generators \(f :{\mathbb {R}} \rightarrow {\mathbb {R}}\), under the additional cost of weakening the topology of the target space.
Theorem 3
Suppose that a function \(f :{\mathbb {R}} \rightarrow {\mathbb {R}}\) is absolutely continuous on each compact subinterval of \({\mathbb {R}}\). Moreover, assume that there exists a number \(q \in (1,+\infty )\) such that \(f'\in L^q[a,a]\) for every \(a>0\). Then the autonomous superposition operator \(F :BV_1(I) \rightarrow BV_p(I)\) is continuous, where p is the conjugate number to q, that is, \(p^{1}+q^{1}=1\).
Proof
Fix \(a>0\). First, let us observe that for arbitrary real numbers \(u,w \in [a,a]\) such that \(u<w\), by the Hölder inequality, we get
Therefore
which shows that the superposition operator F, generated by the function f, is well defined.
Now, we proceed as in the proof of Theorem 2. Fix \(a>0\) and denote by \(\varphi _a\) the restriction of f to the interval \([a,a]\). Since, the Banach space \(BV_1(I)\) is continuously embedded into \(BV_p(I)\) (see Remark 1), we infer that the superposition operators \(F_n :B_{BV_1}(0,a) \rightarrow BV_p(I)\), generated by the Bernstein polynomials of the function \(\varphi _a\), are continuous.
As before, to end the proof, it suffices to show that the sequence \((F_n)_{n \in {\mathbb {N}}}\) converges uniformly on \(B_{BV_1}(0,a)\) to F. Let us observe that for every \(n\in {\mathbb {N}}\), the function \(\psi _n^a=\varphi _a  B_n^a(\varphi _a)\) is absolutely continuous on \([a,a]\) and its derivative is qth power Lebesgue integrable. Hence
(cf. the formula (2)). This in turn implies that for every \(x \in B_{BV_1}(0,a)\), we get
By Proposition 3, we infer that \(\left\ \tfrac{\text {d}}{\text {du}}\psi _n^a\right\ _{L^q[a,a]} \rightarrow 0\) as \(n \rightarrow +\infty \), which shows that \(F_n \rightarrow F\) uniformly on \(B_{BV_1}(0,a)\) and ends the proof. \(\square \)
Since the derivative of a Lipschitz continuous function is essentially bounded (cf. [20, Theorem 7.1.5, p. 150]), from Theorem 3 we obtain the following
Corollary 1
If \(f :{\mathbb {R}} \rightarrow {\mathbb {R}}\) is a function which satisfies a local Lipschitz condition, then the autonomous superposition operator \(F :BV_1(I) \rightarrow BV_1(I)\), generated by f, is \(BV_1\)–\(BV_p\) continuous for every \(p>1\).
Remark 4
Let us observe that in Theorems 2 and 3, the Bernstein polynomials may be replaced by any other approximation scheme built on the polynomials approximating the given function as well as its derivative.
Remark 5
It is worth noting that the issue concerning the continuity of a superposition operator in the space \(BV_1(I)\) was also addressed by Morse, who in [23] proved that, if a generator f can be decomposed into functions of certain regularity, then the nonautonomous superposition operator, corresponding to the function f, acts in the space \(BV_1(I)\) and is continuous (see [23, Theorem 7.1]). It can be easily verified that every locally Lipschitzian function exhibits the abovementioned decomposition (just take \(U(y_1,y_2)=y_2\), \(A(t)=t\) and \(B(x)=f(x)\)), and therefore, Morse’s result provides the complete answer to the question concerning the continuity of an autonomous superposition operator in the space \(BV_1(I)\) raised by the authors of the monograph [2]. Unfortunately, the problem of the continuity of superposition operators in the nonautonomous case still seems far from being fully solved, since the conditions imposed on the generator f in [23, Theorem 7.1] imply its continuity, whereas it is easy to see that there are nonautonomous superposition operators generated by discontinuous functions which map the space \(BV_1(I)\) into itself continuously; it is enough, for example, to consider the function \(f :I \times {\mathbb {R}} \rightarrow {\mathbb {R}}\) given by the formula
Finally, it should also be emphasized that the proof of Morse’s theorem is highly nontrivial and, although formally it is only one page long, it is based on several preceding results (which, by the way, are interesting by themselves) and therefore may be considered to be nearly 30 pages long. On the other hand, the proofs of our results, the assumptions of which are sufficient for many applications, are quite short and simple.
Now, we will pass to the more general setting. We will start with recalling some notions connected with moduli of continuity.
Definition 4
(see [14, p. 41]) A function \(\omega :[0,+\infty ) \rightarrow [0,+\infty )\) is called a modulus of continuity, if it is nondecreasing, subadditive, continuous and \(\omega (0)=0\).
Definition 5
(cf. [4, p. 406]) A modulus of continuity \(\omega \) is said to be a modulus of continuity of a function \(f :[a,a] \rightarrow {\mathbb {R}}\), if \(f(t)f(s)\le \omega (\delta )\) for all points t, s in \([a,a]\) such that \(ts \le \delta \).
Remark 6
Every continuous function \(f :[a,a] \rightarrow {\mathbb {R}}\) admits a modulus of continuity, which is given by the following formula
(cf. [14, p. 40]). The modulus of continuity defined by (3) is often referred to as the optimal modulus of continuity of the function f.
In the sequel, we will need the following technical lemma, whose proof we omit, since it is similar to the proof of [14, Lemma 6.1, p. 43].
Lemma 1
Each continuous function \(f :[a,a] \rightarrow {\mathbb {R}}\) admits a modulus of continuity \(\omega ^{*}\) which is strictly increasing, unbounded, concave and such that \(\omega _f(\delta ) \le \omega ^{*}(\delta )\) for \(\delta \ge 0\).
Before we proceed further, we recall the following property of modulus of continuity of Bernstein polynomials.
Proposition 5
(cf. [17]) If \(f :[a,a] \rightarrow {\mathbb {R}}\) is a continuous function with the optimal modulus of continuity \(\omega _f\), then \(\omega _{B_n^a(f)}(t) \le 4\omega _f(t)\) for \(t \ge 0\).
Lemma 2
Let \(\omega :[0,+\infty )\rightarrow [0,+\infty )\) be a concave, unbounded and strictly increasing modulus of continuity of a continuous function \(f :[a,a]\rightarrow {\mathbb {R}}\). Then the autonomous superposition operator F, generated by the function f, maps the closed ball \(B_{BV_1}(0,a)\) into the subset of the space B(I) consisting of functions of finite \(\omega ^{1}\)variation.
Proof
For an arbitrary finite partition \(0=t_0 < t_1 < \cdots <t_n=1\) of the interval I, we have
so \({{\mathrm{var}}}_{\omega ^{1}} F(x) < +\infty \). \(\square \)
At the end of this section, we are going to prove another result concerning \(\phi \)variation in the proof of which we use a similar idea as in the proofs of Theorems 2 and 3.
Theorem 4
Let \(\omega :[0,+\infty )\rightarrow [0,+\infty )\) be a concave, unbounded and strictly increasing modulus of continuity of the continuous function \(f :[a,a]\rightarrow {\mathbb {R}}\), and let us denote by \(\phi \) the function \(\phi :[0,+\infty ) \rightarrow [0,+\infty )\) given by the formula \(\phi (s)= \bigl [\omega ^{1}(\frac{1}{5}s)\bigr ]^p\), where \(p>1\). Moreover, by F and \(F_n\), let us denote the autonomous superposition operators, generated by f and \(B_n^a(f)\), respectively, which map the closed ball \(B_{BV_1}(0,a)\) into the subset of the space B(I) consisting of functions of finite \(\phi \)variation. Then \({{\mathrm{var}}}_{\phi }[F(x)F_n(x)]\rightarrow 0\) uniformly on \(B_{BV_1}(0,a)\).
Proof
First, we shall show that the superposition operators are well defined, that is, for every \(x \in B_{BV_1}(0,a)\) the functions \(F(x), F_n(x)\) are of finite \(\phi \)variation. Indeed, if \(0=t_0<\cdots <t_m=1\) is an arbitrary finite partition of the interval I, then
(cf. Remark 1). This shows that F(x) is of finite \(\phi \)variation. To prove that \({{\mathrm{var}}}_{\phi } F_n(x) < +\infty \), it suffices to apply Proposition 5 along with the fact that \(\omega _f(t) \le \omega (t)\) for \(t \ge 0\) and to follow the above reasoning.
Now, we are going to show that for a given \(\varepsilon >0\) and for all but finitely many \(n\in {\mathbb {N}}\), we have
Fix \(\varepsilon >0\) and choose \(\delta > 0\) to be such that \(\delta ^{p1} < \varepsilon /a\). Moreover, for an arbitrary finite partition \(0=t_0<\cdots <t_m=1\) of the interval I, let us introduce the following sets
If \(i \in N_1\), then
and thus
Therefore, for every \(n \in {\mathbb {N}}\), we have
In order to estimate the sum over \(N_2\), let us choose a number \(\eta >0\) such that \(\phi (2\eta )\le \delta \varepsilon /a\). Furthermore, assume that the inequality \(\sup _{s \in [a,a]}f(s)B_n^a(f)(s)\le \eta \) holds for all \(n \ge n_0\), where \(n_0 \in {\mathbb {N}}\) is a certain positive integer (cf. Proposition 1). Then, for \(i \in N_2\) and \(n \ge n_0\), we have
Hence
Hence, for all \(n \ge n_0\), we obtain
which proves that \({{\mathrm{var}}}_{\phi }[F(x)F_n(x)]\rightarrow 0\) uniformly on \(B_{BV_1}(0,a)\). \(\square \)
4 Compactness results and applications
4.1 Hammerstein integral equation
In this subsection, we will be interested in the problem of the existence of solutions of bounded variation in the sense of Jordan to the following nonlinear Hammerstein integral equation
where \({\uplambda }\in {\mathbb {R}}\). Let us make the following assumptions:

\(1^\circ \) \(f :{\mathbb {R}} \rightarrow {\mathbb {R}}\) is a continuous function such that:

(a)
f is absolutely continuous on each compact subinterval of \({\mathbb {R}}\);

(b)
there exists a number \(q \in (1,+\infty )\) such that \(f'\in L^q[a,a]\) for every \(a>0\);

(c)
f is sublinear, that is, \(\lim _{u\rightarrow +\infty } f(u)/u = 0\);

(a)

\(2^\circ \) the kernel \(k :I \times I \rightarrow {\mathbb {R}}\) is such that:

(a)
for every \(t \in I\) the function \(s \mapsto k(t,s)\) is Lebesgue measurable;

(b)
the function \(s \mapsto k(0,s)\) is Lebesgue integrable;

(c)
\(\bigvee _0^1 k(\cdot , s) \le m(s)\) for a.e. \(s \in I\), where \(m :I \rightarrow [0,+\infty )\) is a Lebesgue integrable function.

(a)
Remark 7
Let us recall that the condition of type \(2^\circ \) was introduced in the paper [8]. Moreover, let us note that if the kernel k satisfies the assumptions \(2^\circ \) (a)–(c), then for every \(t \in I\), the function \(s \mapsto k(t,s)\) is Lebesgue integrable on I. Indeed, given any \(t \in I\), we have
which confirms our claim.
Proposition 6
Let \(p,r \in [1,+\infty )\) and suppose that the kernel \(k :I \times I \rightarrow {\mathbb {R}}\) satisfies the assumptions \(2^\circ \) (a)–(c). Then the linear integral operator \(K :BV_p(I) \rightarrow BV_r(I)\), defined by the formula
is compact.
Proof
For every \(x \in BV_p(I)\), in view of the assumptions, Remarks 3 and 7, the integral
exists and is finite for every \(t \in I\). Moreover, if \(0=t_0 < t_1 < \cdots <t_n =1\) is an arbitrary finite partition of the interval I, then
where \(m_1 = \int _0^1 m(s) \text {ds}\) and the number \(c_p\) is such that \(\left\ x\right\ _{\infty } \le c_p\left\ x\right\ _{BV_p}\) for \(x \in BV_p(I)\) (cf. Remark 3). Hence
and therefore \(\left\ Kx\right\ _{BV_r} \le c_p\bigl (\left\ k(0,\cdot )\right\ _{L^1}+m_1\bigr )\left\ x\right\ _{BV_p}\). This proves that the operator K is well defined and continuous.
Now, we will show that K is compact. If \((x_n)_{n \in {\mathbb {N}}}\) is an arbitrary sequence of elements of \(B_{BV_p}(0,1)\), then, in view of Helly’s selection theorem (see [13, Theorem 6.1;26, Theorem 2.4]), there exists a subsequence \((x_{n_k})_{k \in {\mathbb {N}}}\), pointwise convergent to some \(x \in B_{BV_p}(0,1)\). Let \(y_k=x_{n_k}x\) for \(k \in {\mathbb {N}}\). We will establish that \(Ky_k \rightarrow 0\) with respect to the \(BV_r\)norm. Given \(\varepsilon >0\) let \(k_0 \in {\mathbb {N}}\) be such that
(note that such \(k_0\) exists, since
by the dominated convergence theorem). If \(0=t_0<t_1<\cdots <t_m=1\) is an arbitrary finite partition of the interval I, then for \(k \ge k_0\), we have
which implies that
Thus
which ends the proof. \(\square \)
Now, we apply the above compactness result as well as the continuity result (Theorem 3) to prove the following existence theorem for Eq. (4).
Theorem 5
Let the kernel \(k :I \times I \rightarrow {\mathbb {R}}\) and the nonlinearity \(f :{\mathbb {R}} \rightarrow {\mathbb {R}}\) satisfy the assumptions \(2^\circ \) (a)–(c) and \(1^{\circ }\) (a)–(c), respectively. Then for every \({\uplambda }\in {\mathbb {R}}\), there exists a \(BV_1\)solution to Eq. (4).
Proof
If \({\uplambda }=0\), then the claim is obvious. Let us note that without the loss of generality, we may assume that \({\uplambda }=1\), and let us consider the operator \(G = K \circ F :BV_1(I) \rightarrow BV_1(I)\), where the integral operator \(K :BV_p(I) \rightarrow BV_1(I)\), for \(p^{1}+q^{1}=1\), is given by (5), while the autonomous superposition operator \(F :BV_1(I) \rightarrow BV_p(I)\) is generated by the function f. In view of Proposition 6 and Theorem 3, the operator G is continuous. Let us note that it is also completely continuous since F maps bounded sets of \(BV_1(I)\) into bounded sets of \(BV_p(I)\), which is a direct consequence of the inequality
(cf. the proof of Theorem 3).
Therefore, it is enough to find a closed ball \(B_{BV_1}(0,a)\subseteq BV_1(I)\) invariant under the completely continuous mapping G. First, let us observe that for any ball \(B_{BV_1}(0,a)\) and \(x \in B_{BV_1}(0,a)\) there is \(\left\ x\right\ _\infty \le a\) and
By the assumption \(1^{\circ }\) (c), there exists such \(R>0\) that
Otherwise, a sequence \((u_n)_{n \in {\mathbb {N}}}\) of real numbers would exist for which we would have
The sequence \((u_n)_{n \in {\mathbb {N}}}\) may not be bounded, so there has to exist an appropriate subsequence \((w_n)_{n\in \mathbb {N}}\), such that \(w_n\rightarrow +\infty \) and
which contradicts the assumption \(1^{\circ }\) (c).
Therefore
for \(x \in B_{BV_1}(0,R)\), which implies that the ball \(B_{BV_1}(0,R)\) is invariant under the mapping G. This—by the Schauder fixedpoint theorem—implies that there exists a fixed point of G and completes the proof. \(\square \)
Using the techniques developed in the paper [10], we are able to establish the following result concerning the existence of positive continuous solutions to the nonautonomous version of Eq. (4) in the class of functions of bounded variation in the sense of Jordan which satisfy a certain additional condition.
Theorem 6
Let \(J \subseteq I\) be a closed set of positive Lebesgue measure. Moreover, let the functions \(k :I \times I \rightarrow [0,+\infty )\) and \(f :I \times [0,r] \rightarrow [0,+\infty )\), where \(r>0\), be continuous. If the kernel k satisfies the assumption \(2^\circ \) (c) and if there exist positive numbers \(\delta _1, \delta _2, M\) such that:

(i)
\({\int _{J} k(t,s) \text {dt}} \ge \delta _1\) for each \(s \in J\);

(ii)
\({\int _{J} k(t,s) \text {dt}} \ge \delta _2 k(u,s)\) for each \((u,s) \in I \times I\);

(iii)
\(f(t,u)>0\) if \(M \mu (J)^{1/p} \le u \le r\) and \(t \in J\), where \(p >1\);

(iv)
\(0<M \le r\delta _2 \mu (J)^{1/q}\), where \(q>1\) is such that \(p^{1}+q^{1}=1\),
then there exits \({\uplambda }>0\) such that the equation
has a positive^{Footnote 1} and continuous \(BV_1\)solution x such that
Proof
The assertion follows easily from [10, Theorem 12]. \(\square \)
Example 1
It is easy to check that the kernel \(k :I \times I \rightarrow [0,+\infty )\) given by \(k(t,s)=ts\) satisfies the assumption \(2^\circ \) (c) as well as the assumptions (i) and (ii) of Theorem 6 with \(J=I=[0,1]\).
4.2 Volterra–Hammerstein integral equation
Let us consider the following nonlinear Volterra–Hammerstein integral equation
where

\(3^\circ \) \(g \in C(I)\cap BV_1(I)\);

\(4^\circ \) \(f :I \times {\mathbb {R}} \rightarrow {\mathbb {R}}\) satisfies the Carathéodory conditions, that is,

(a)
for every \(u \in {\mathbb {R}}\) the function \(t \mapsto f(t,u)\) is Lebesgue measurable;

(b)
for a.e. \(t \in I\) the function \(u \mapsto f(t,u)\) is continuous;

(c)
\(f(t,u) \le m_1(t)\) for \((t,u) \in I \times {\mathbb {R}}\) with \(m_1 \in L^p(I)\), where \(p \in (1,+\infty ]\);

(a)

\(5^\circ \) the kernel \(k :\Delta \rightarrow {\mathbb {R}}\), where \(\Delta {\mathrel {\mathop :}=}\{(t,s) \in I \times I:0\le s\le t\le 1\}\), is such that:

(a)
for every \(t \in I\) the function \(s \mapsto k(t,s)\) is Lebesgue measurable on [0, t];

(b)
\(k(s,s)+\bigvee _s^1 k(\cdot , s) \le m_2(s)\) for a.e. \(s \in I\) with \(m_2 \in L^q(I)\), where \(q^{1}+p^{1}=1\);

(c)
for every \(\varepsilon >0\) there exists \(\delta >0\) such that
$$\begin{aligned} \int _0^t k(\tau ,s)k(t,s)m_1(s)\text {ds} \le \varepsilon , \end{aligned}$$for all \((\tau ,t) \in \Delta \) such that \(0\le \tau t \le \delta \).

(a)
Remark 8
Let us note that if the kernel k satisfies the assumptions \(5^\circ \) (a) and (b), then for every \(t \in I\) the function \(s \mapsto k(t,s)\) belongs to \(L^q[0,t]\). Indeed, given any \(t \in I\), we have
which confirms our claim.
Lemma 3
Let \(p \in [1,+\infty ]\). If the kernel k satisfies the assumptions \(5^\circ \) (a) and (b), then the linear Volterra integral operator K defined by
maps the space \(L^{p}(I)\) into \(BV_1(I)\) and is continuous.
Proof
Let \(x \in L^{p}(I)\). First, let us observe that in view of Remark 8, the integral
exists and is finite for every \(t \in I\), and thus the definition of the operator K does make sense.
If \(0=t_0<\cdots <t_n=1\) is an arbitrary finite partition of the interval I, then
where \(\vartheta :I \times I \rightarrow {\mathbb {R}}\) is given by the following formula
Since
we infer that
This proves that \(\left\ Kx\right\ _{BV_1} \le \left\ m_2\right\ _{L^q} \cdot \left\ x\right\ _{L^p}\), which means that K maps the space \(L^{p}(I)\) into \(BV_1(I)\) and is continuous. \(\square \)
Lemma 4
Let \(p \in (1,+\infty ]\). Suppose that the assumptions \(5^\circ \) (a) and (b) hold. If a bounded sequence \((x_n)_{n \in {\mathbb {N}}}\) in \(L^{p}(I)\) converges almost everywhere (or in measure) to a function \(x \in L^{p}(I)\), then the sequence \((Kx_n)_{n \in {\mathbb {N}}}\), where K is given by (7), converges to Kx with respect to the \(BV_1\)norm.
Proof
First, let us note that \(Kx,Kx_n \in BV_1(I)\) by Lemma 3. If \(0=t_0<\cdots <t_n=1\) is an arbitrary finite partition of the interval I, then
where the function \(\vartheta :I\times I \rightarrow {\mathbb {R}}\) is defined by (8). Hence
(cf. the proof of Lemma 3), which, in view of the assumptions and Vitali’s convergence theorem (see [20, Theorem 6.2.12]), shows that \(\left\ Kx_n  Kx\right\ _{BV_1} \rightarrow 0\) as \(n\rightarrow +\infty \). \(\square \)
The following example shows that Lemma 4 is false if \(p=1\).
Example 2
Let us consider a sequence \((x_n)_{n \in {\mathbb {N}}}\) of Lebesgue integrable functions defined by the formulas
Clearly, the sequence \((x_n)_{n \in {\mathbb {N}}}\) is bounded in \(L^1(I)\) and converges almost everywhere to the zero function. If we take the kernel k equal identically to 1 on \(\Delta \), then
which shows that \(\bigvee _0^1 Kx_n = 1\) for \(n \in {\mathbb {N}}\). Therefore, the sequence \((Kx_n)_{n \in {\mathbb {N}}}\) cannot converge to the zero function with respect to the \(BV_1\)norm.
Corollary 2
If the kernel \(k :\Delta \rightarrow {\mathbb {R}}\) satisfies the assumptions \(5^\circ \) (a) and (b) with \(q=1\), then the integral operator \(K :BV_1(I) \rightarrow BV_1(I)\) given by (7) is compact.
In the proof of the main result of this subsection, we will need a Vidossichtype result. Assume that D is a bounded and convex subset of a normed space, and E is a Banach space. Denote by C(D, E) the space of all bounded and continuous functions \(x :D \rightarrow E\), endowed with the supremum norm, similarly as in the case of realvalued functions.
Theorem 7
([28, Theorem 2]) Let \(F :C(D,E) \rightarrow C(D,E)\) be a continuous mapping satisfying the following conditions:

(i)
the set F(C(D, E)) is equiuniformly continuous;

(ii)
there exist \(t_0 \in D\) and \(x_0 \in E\) such that \(F(x)(t_0)=x_0\) for every \(x \in C(D,E)\);

(iii)
for every \(\varepsilon >0\) and \(x,y\in C(D,E)\) the following implication holds
$$\begin{aligned} x_{D_{\varepsilon }} = y_{D_{\varepsilon }} \quad \Rightarrow \quad F(x)_{D_{\varepsilon }}=F(y)_{D_{\varepsilon }}, \end{aligned}$$where \(D_{\varepsilon }=\{t \in D:\left\ tt_0\right\ \le \varepsilon \}\);

(iv)
every sequence \((x_n)_{n \in {\mathbb {N}}}\) in C(D, E) such that \(\lim _{n\rightarrow \infty }(x_n  F(x_n))=0\) has a limit point.
Then the set of fixed points of the mapping F is a compact \(R_{\delta }\), that is, it is homeomorphic to the intersection of a decreasing sequence of compact absolute retracts.
Let us refer the reader interested in other important results, similar to Theorem 7, to the papers [6] and [29].
Theorem 8
If the assumptions \(3^\circ \)–\(5^\circ \) hold, then the set T of all continuous solutions of bounded variation in the sense of Jordan to the nonlinear Volterra–Hammerstein integral equation (6) is a compact \(R_{\delta }\) in the Banach space \(C(I)\cap BV_1(I)\) endowed with the \(BV_1\)norm.
Proof
The proof falls into two parts. First, we shall show that the mapping
defined for \(x \in C(I)\) satisfies the assumptions of Theorem 7; let us note that the mapping F is well defined, that is, the above integral exists and is finite for every \(x \in C(I)\) and \(t \in I\) (cf. Remark 8).
Let \(x \in C(I)\). Given \(\varepsilon >0\), in view of the assumptions, there exists \(\delta >0\) such that:

\(g(t)g(\tau ) \le \frac{1}{3}\varepsilon \) for \(t,\tau \in I\) such that \(t\tau \le \delta \);

\(\int _0^t k(\tau ,s)k(t,s)m_1(s)\text {ds} \le \frac{1}{3}\varepsilon \) for \((\tau ,t) \in \Delta \) such that \(t\tau \le \delta \);

\(\int _A m_1(s)m_2(s) \text {ds} \le \frac{1}{3}\varepsilon \) for any Lebesgue measurable set \(A \subseteq I\) such that \(\mu (A)\le \delta \).
Therefore, if \(t, \tau \in I\) are such that \(0 \le \tau t\le \delta \), then
This shows that \(F(x) \in C(I)\). Furthermore, let us observe that the number \(\delta \) in the above reasoning is independent of x, which implies that the set F(C(I)) is equiuniformly continuous.
The continuity of the mapping F is a consequence of Lemma 4 and the fact that if a sequence \((x_n)_{n \in {\mathbb {N}}}\) in C(I) is uniformly convergent to \(x \in C(I)\), then the sequence \(\bigl (f(\cdot ,x_n(\cdot ))\bigr )_{n \in {\mathbb {N}}}\), which is bounded in \(L^p(I)\), converges a.e. to the function \(t \mapsto f(t,x(t))\), \(t \in I\).
The assumptions (ii) and (iii) of Theorem 7 are obviously satisfied, if we set \(t_0=0\) and \(x_0=g(0)\).
Hence, it suffices to prove that the mapping F satisfies the Palais–Smale condition. Let \((x_n)_{n \in {\mathbb {N}}}\) be a sequence in C(I) such that \(\lim _{n \rightarrow \infty }(x_n  F(x_n))=0\) with respect to the supremum norm. In view of the assumption \(4^\circ \) and Lemma 3, we get
Therefore, by Helly’s selection theorem there exists a subsequence \((F(x_{n_k}))_{k \in {\mathbb {N}}}\) of \((F(x_{n}))_{n \in {\mathbb {N}}}\) pointwise convergent to a function \(y \in BV_1(I)\). Thus, \((x_{n_k})_{k \in {\mathbb {N}}}\) is also pointwise convergent to y. Hence, for a.e. \(t \in I\), we have \(f(t,x_{n_k}(t)) \rightarrow f(t,y(t))\) as \(k \rightarrow +\infty \), and the sequence \((f(\cdot ,x_{n_k}(\cdot )))_{k \in {\mathbb {N}}}\) is bounded in \(L^{p}(I)\). This, by Lemma 4, implies that \((F(x_{n_k}))_{k \in {\mathbb {N}}}\) converges to \(F(y)=y\) with respect to the \(BV_1\)norm, and so, since the supremum norm is weaker than the \(BV_1\)norm, the sequence \((x_n)_{n \in {\mathbb {N}}}\) has a limit point in C(I).
All the assumptions of Theorem 7 are satisfied, and therefore, the set S of all continuous solutions to Eq. (6) is a compact \(R_{\delta }\) in C(I). To end the proof, it suffices to show that S endowed with the metric \(d_{\infty }\) induced by the supremum norm is homeomorphic to the set T of all continuous solutions to (6) of bounded Jordan variation, endowed with the metric \(d_{BV_1}\) induced by the \(BV_1\)norm. Note that \(S=T\) as sets (cf. the formula (9)), and since the \(BV_1\)norm is stronger than the supremum norm, we get that the identity map \({{\mathrm{id}}}:T \rightarrow S\) is continuous. Now, we shall show that \({{\mathrm{id}}}:S \rightarrow T\) is also continuous. Let us take a sequence \((x_n)_{n \in {\mathbb {N}}}\) in S convergent to \(x_0 \in S\). Reasoning as above, we infer that the sequence \((F(x_n))_{n \in {\mathbb {N}}}\) converges to \(F(x_0)\) with respect to \(d_{BV_1}\). But \(F(x_n)=x_n\) for all \(n \in {\mathbb {N}}\cup \{0\}\), and hence \(\left\ x_n  x_0\right\ _{BV_1}\rightarrow 0\) as \(n \rightarrow +\infty \). This shows that the identity map constitutes a homeomorphism between the metric spaces T and S and, in consequence, it proves that the set of all continuous solutions to (6) of bounded variation in the sense of Jordan is a compact \(R_{\delta }\) set in \(C(I)\cap BV_1(I)\) with respect to the \(BV_1\)norm. \(\square \)
Notes
Let us recall that by a positive solution, we understand a solution which takes only nonnegative values.
References
Ambrosio, L., Fusco, N., Pallara, D.: Functions of Bounded Variation and Free Discontinuity Problems. Oxford Mathematical Monographs, Oxford Science Publications, Clarendon Press, Oxford (2000)
Appell, J., Banaś, J., Merentes, N.: Bounded Variation and Around, De Gruyter Studies. In: Nonlinear Analysis and Applications, vol. 17. De Gruyter, Berlin (2014)
Appell, J., Zabrejko, P.P.: Nonlinear Superposition Operators. Cambridge University Press, Cambridge (1990)
Aronszajn, N., Panitchpakdi, P.: Extension of uniformly continuous transformations and hyperconvex metric spaces. Pac. J. Math. 6, 405–439 (1956)
Brauer, F.: Constant rate harvesting of populations governed by Volterra integral equations. J. Math. Anal. Appl. 56, 18–27 (1976)
Browder, F.D., Gupta, C.P.: Topological degree and nonlinear mappings of analytic type in Banach spaces. J. Math. Anal. Appl. 26, 730–738 (1969)
Bugajewska, D., Bugajewski, D., Kasprzak, P., Maćkowiak, P.: Nonautonomous superposition operators in the spaces of functions of bounded variation (submitted)
Bugajewski, D.: On \(BV\)solutions of some nonlinear integral equations. Integral Equ. Oper. Theory 46, 387–398 (2003)
Bugajewski, D., Kasprzak, P.: On mappings of higher order and their applications to nonlinear equations. Commun. Pure Appl. Anal. 11(2), 627–647 (2012)
Bugajewski, D., Kasprzak, P.: Leggett–Williams type theorems with applications to nonlinear differential and integral equations. Nonlinear Anal. 114, 116–132 (2015)
Chambolle, A., Caselles, V., Cremers, D., Novaga, M., Pock, T.: An introduction to total variation for image analysis, theoretical foundations and numerical methods for sparse recovery. Radon Ser. Comput. Appl. Math. 9, 263–340. Walter de Gruyter, Berlin (2010)
Chan, T.F., Shen, J.: Image Processing and Analysis. Variational, PDE, Wavelet, and Stochastic Methods. Society for Industrial and Applied Mathematics (SIAM), Philadelphia (2005)
Chistyakov, V.V., Galkin, O.E.: On maps of bounded \(p\)variation with \(p>1\). Positivity 2(1), 19–45 (1998)
DeVore, R.A., Lorentz, G.G.: Constructive Approximation, Grundlehren der mathematischen Wissenschaften, vol. 303. Springer, Berlin (1993)
Hansen, P.C., Nagy, J.G., O’Leary, D.P.: Deblurring images. Matrices, spectra, and filtering. In: Fundamentals of Algorithms, vol. 3. Society for Industrial and Applied Mathematics (SIAM), Philadelphia (2006)
Kim, Y., Vese, L.A.: Image recovery using functions of bounded variation and Sobolev spaces of negative differentiability. Inverse Probl. Imaging 3(1), 43–68 (2009)
Kratz, W., Stadtmüller, U.: On the uniform modulus of continuity of certain discrete approximation operators. J. Approx. Theory 54(3), 326–337 (1988)
Levin, J.J.: On a nonlinear Volterra equation. J. Math. Anal. Appl. 39, 458–476 (1972)
Lorentz, G.G.: Bernstein Polynomials. Chelsea Publishing Company, New York (1986)
Łojasiewicz, S.: An Introduction to the Theory of Real Functions. John, Chichester (1988)
Maligranda, L., Orlicz, W.: On some properties of functions of generalized variation. Monatsh. Math. 104(1), 53–65 (1987)
Mazya, V.: Sobolev Spaces: With Applications to Elliptic Partial Differential Equations, Grundlehren der mathematischen Wissenschaften, vol. 342. Springer, Heidelberg (2011)
Morse, A.P.: Convergence in variation and related topics. Trans. Am. Math. Soc. 41(1), 48–83 (1937)
Musielak, J.: Orlicz spaces and modular spaces. Lecture Notes in Mathematics, vol. 1034. Springer, Berlin (1983)
Musielak, J., Orlicz, W.: On generalized variations I. Studia Math. 18, 11–41 (1959)
Porter, J.E.: Helly’s selection principle for functions of bounded \(p\)variation. Rocky Mt. J. Math. 35(2), 675–679 (2005)
Rudin, L., Osher, S., Fatemi, E.: Nonlinear total variation based noise removal algorithms. Phys. D 60(1–4), 259–268 (1992)
Szufla, S.: On the structure of solution sets of nonlinear equations. In: Proceedings of the conference: Differential Equations and Optimal Control, Zielona Góra, pp. 33–39 (1989)
Vidossich, G.: On the structure of the set of solutions of nonlinear equations. J. Math. Anal. Appl. 34, 602–617 (1971)
Waterman, D.: On convergence of Fourier series of functions of generalized bounded variation. Studia Math. 44, 107–117 (1972)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
About this article
Cite this article
Bugajewski, D., Gulgowski, J. & Kasprzak, P. On continuity and compactness of some nonlinear operators in the spaces of functions of bounded variation. Annali di Matematica 195, 1513–1530 (2016). https://doi.org/10.1007/s1023101505267
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s1023101505267
Keywords
 Acting condition
 Aronszajntype theorem
 Autonomous (nonautonomous) superposition operator
 Bernstein polynomials
 Compact operator
 Hammerstein integral equation
 Linear integral operator
 Locally bounded mapping
 Modulus of continuity
 pvariation
 Positive solution
 \(R_{\delta }\)set
 Variation in the sense of Jordan
 Volterra–Hammerstein integral equation
 \(\phi \)function
 \(\phi \)variation