Abstract
Considering the case of a continual bundle of controlled dynamic processes, the authors have studied the functional-geometric conditions of existence of non-stationary coefficients-operators from the differential realization of this bundle in the class of non-autonomous bilinear second-order differential equations in the separable Hilbert space. The problem under scrutiny belongs to the type of non-stationary coefficient-operator inverse problems for the bilinear evolution equations in the Hilbert space. The solution is constructed on the basis of usage of the functional Relay-Ritz operator. Under this mathematical problem statement, the case has been studied in detail when the operators to be modeled are burdened with the condition, which provides for entire continuity of the integral representation equations of the model of realization. Proposed is the entropy interpretation of the given problem of mathematical modeling of continual bundle dynamic processes in the context of development of the qualitative theory of differential realization of nonlinear state equations of complex infinite-dimensional behavioristic dynamical system.
Keywords:
inverse problems of nonlinear evolution equations; bilinear differential non-autonomous realization; nonlinear Relay-Ritz functional operator; vector lattices of the spaces of measurable functions MSC:
93B15; 93B30
1. Introduction
A large class of inverse problems of evolution equations is bound up with mathematical modeling of interconnected dynamical systems [1,2,3]; in particular, those possessing a hyperbolic structure [4,5]. In this context, we propose an analytical grounding of solvability of the problem of full, continuous bilinear differential non-autonomous second-order realization for a continual bundle of controlled dynamic processes as a model of the behavioristic system [1]. Noteworthy is the need to construct the qualitative theory of differential realization (QTDR), which was understood long ago. The first (in 1940) pithy step in this direction was undertaken by Kolmogorov [2] in connection with the development of the theory of continuous one-parameter groups of motions.
Firstly, QTDR was elaborated as a direction of system-theoretic analysis of inverse problems for the finite-dimensional dynamic systems [6,7,8,9,10]. Later QTDR was extended up to more abstract statements in Banach infinite-dimensional spaces, whose complete systems of elements [11] (p. 167) represented the basis, what was actively used in the work [12,13,14]; there exists [11] (p. 514) the separable reflexive Banach spaces without the property of approximation (when any compact operator is a uniform limit of the finite rank operators), and, consequently, also without any basis. Furthermore, it was ascertained that serious analytical difficulties were encountered after the transition to the differential realization systems with the order higher than one, when the account of hyperbolic models was needed [15,16,17].
Within the framework of the given context, we consider the aspect of nonlinearity of scrutinized (modeled) equations; in particular, existence of bilinear structures [18] of non-autonomous equations of differential realization. This is the major object of attention in the present paper. Furthermore, we additionally consider the entropy aspect [6] of the theory.
2. QTDR-Terminology, Denotations and the Problem Statement
Let us define a definite terminology and introduce the denotations, which will be used further. From now on are real separable Hilbert spaces (the pre-Hilbert property is given by norms ), is the Cartesian product with the norm (transforming into Hilbert spaces [11] (p. 162)), is the Banach space (with the operator norm) of all the linear continuous operators acting from space into (we will introduce for any two fixed Banach spaces similarly), are spaces of all the continuous bilinear maps [11] (p. 646) from the Cartesian square in
Let us denote by a segment of numerical axis with the Lebesgue measure , by —the -algebra of all -measurable subsets from ; next, we’ll need -relations on , so, we’ll introduce (for them) the symbols for the cases of equality, inequality and orderings -almost everywhere in ; the record for means that . Moreover, assume that is a linear set of all the functions whose first derivative is an absolutely continuous function on interval (with respect to the Lebesgue measure ). Next, let be some Banach space. By we will denote Lebesgue factor-spaces [19] (p. 52) of all the classes of -equivalence maps with norm when and for Staying within the given context, let us introduce the following auxiliary denotations:
obviously, space (with the topology of product) is an isomorph furthermore, let us agree that any vector from (in the context of the problem of realization) will be called the -model.
Henceforth we assume that bilinear maps are fixed, and that
is the behavior of the scrutinized dynamic system with -trajectories, programmed controls and bilinear relations (—continuum, —aleph- zero); it is obvious that—according to (1)—in the case of a behavioristic -system, for any dynamic process from the following relationship is valid
Consider the following QTDR-problem. In the case of a behavioristic -system (1) it is desirable to find both necessary and sufficient conditions of existence of the -model represented by the cortege
for which it is possible to realize a bilinear differential realization (BDR) of the form
on account of Lemma 1 [12], in the construction of the -solution, we follow [19] (p. 418), i.e., the equality in (2) is considered as an identity in . This QTDR-statement will later be burdened with the condition of entire continuity (see Definition 3) of an integral form of the non-autonomous BDR-model (2).
3. Reduction of the BDR-Problem to the Problem of -Continuity
At the end of this short paragraph we will show (in Lemma 1) how the mathematical statement of the problem of the BDR-problem may be reformulated in terms of a special division of the theory of extension of linear operators [20] (p. 38) in the functional Banach spaces. We will speak about a “special division” because below we will give a strong mathematical grounding to this operator extension.
Let us redenote (for the purpose of convenience) Hilbert spaces with it is clear that, in accordance with the constructions introduced earlier, the norm in space has the form:
Let be a space of all linear continuous operators (with the operator norm ) acting from space into space Now, for the fixed (somehow) ordered system of operator-functions , let us introduce into our consideration the linear operator which has the following analytical representation
Next, space is locally convex, so (since the conjugate space for separates the points in ), the linear operator which—according to formula (3)—realizes the coordination defined as
is the one-to-one coordination ( what allows one to state—with respect to the properties of operator —ever more (see Proposition 1 below), under the assumption that the linear manifold of operator-function is allotted with the structure of the topology induced by the norm
Obviously, the pair forms the Banach space [20] (p. 81).
There exists another formulation of the fact that is rather important to identify it in the capacity of a separate statement (proposition).
Proposition 1.
Operator is a linear homeomorphism.
Now, after the prepared constructions is conducted, we will introduce into consideration one of the operator-theoretic constructions which is most important for us.
Definition 1.
The linear map is called the-operator, when
Not in the last tern we take interest in the issue of how the class of all the -operators is constructed. The general understanding of this issue is represented by the following statement.
Proposition 2.
The class of all -operators belong (how eigen-one) to the Banach space
So, there is in-coincidence of the space of bounded operators and the class of all -operators.
The theory of extension of linear operators in common Banach spaces has been now developed more completely; so, we will restrict our consideration with reference to well-known (classical) monographs [11,20]. The following definition gives a new functional-analytic direction in this direction of development of the theory of operators:
Definition 2.
Let subset be fixed. Hence the given linear operator will be called -continuable when admits linear extension to some -operator i.e.,
(Due to Proposition 2, -continuity implies continuous extension of operator ).
Each pithy mathematical theory has its short list of lemmas, which form the basement of this theory. Within the frames of this context, the basement of the theory of the second-order BDR-realization is formed by the following lemma, which is important for us:
Lemma 1.
BDR-problem (1)–(2) is solvable if and only if operator
is -continuable.
Before proceeding to solving the issue of BDR-modeling within the frames of the functional-analytical theory of -continuity, let us note that Lemma 1 (in essence) states side-by-side that, while spending more effort on the operational techniques, the same qualitative systems-theoretic results bound up with reduction of the BDR-problem to solving the problem of -continuity may be applied to the bilinear non-autonomous differential evolution equations of higher orders. So, from now on, we do not intend to go deeper into this issue.
4. The Characteristic Indicator of -Continuity
In the previous paragraph we have demonstrated how, when using the structure of linearly functional -operators, it is possible to reduce the BDR-problem to the analytical solution of the problem of -continuity. In this connection, in this section of the paper we continue the study of -operators. We intend to start from the development of the necessary apparatus. In this connection, for the case when , let us consider operator [21] (p. 13) assigned by
Remark 1.
Operator is in essence a linear projector furthermore, space is invariant with respect to the actions of projector . Such an arrangement makes the consideration of a similar linear operator which has been constructed according to the functional rule (as a “model specimen”) described above, quite correct.
Below, in two theorems, we will consider (at the level of simple axiomatic schemes) the two forms of the characteristic criterion of -continuability and, simultaneously we will briefly discuss their functional-analytical images (with analysis of their constructive character).
The following structural Theorem 1 and (see below) its algebraic Corollary 1, give essentially universal functional-theoretic calculus on elements of -algebra of all -continuable operators; we speak “structural” because in Corollary 1 given is an algebraic criterion of disposition of -continuable operators in space
Theorem 1.
Let be some linear manifold invariant with respect to the projectors and be a linear continuous operator. Hence is -continuable if and only if for all the subsets and for each we have
what means that for all the subsets the following diagram is commutative:
![]() |
On account of Proposition 2, we obtain a new formulation of Definition 1.
Corollary 1.
The linear operator is an -operator if and only if and, furthermore, for any the following equality is valid
Unfortunately, if all the elements of -algebra are taken into consideration, then constructivity of the characteristic criterion of -continuity does not follow from Theorem 1 and Corollary 1. Below we will try to avoid this shortcoming.
The idea lying at the base of the proposed construction is very simple. Let and be some linear operator. In order to obtain a compact and efficient (constructive) characteristic criterion of linear-continuous continuity of operator up to some -operator with the aid of Theorem 1, it is necessary (and this can easily be understood) to solve the following analytical problems sequentially:
- (a)
- Extend the linear hull of up to some minimal involving the linear manifold invariant with respect to the family of projectors
- (b)
- Construct for the operator its linear extension on manifold (see the previous problem) and demonstrate the fact of continuity of operator ;
- (c)
- Verify the fact of satisfaction of condition (4) for the linear extension .
The conditions of solvability of problems (b) and (c) will be demonstrated (and clarified) below by Theorem 2. Meanwhile, the geometric solution of problem (a) is the matter of analysis in the following lemma.
Lemma 2.
Let and hence
- (i)
- is the smallest linear set in , which contains and is invariant with respect to the family of projectors
- (ii)
- for any one can find a natural number such that for it and for the vector it is possible to find a family of sets and a set vectors , such that
Remark 2.
When considering the geometric expansion of , it is possible to assume that conjunction exhausts the total interval , because if is an eigen-subset in , then, having denoted by the set and having accepted that we obtain the expansion i.e., in the case of representation of the vector with the sum , the finite set of subsets forms a disjunctive decomposition of the time interval .
The Lemma 2 together with Theorem 1 give an opportunity to obtain a rather compact formulation of the characterization of conditions of -continuity.
Theorem 2.
Let and be some linear operator. Hence is characterized by -continuity if and only if one can find a function in such that on interval for all we have the following -dependence
Proof.
(necessary). Obviously, if the linear operator
is an -operator, which continues , then for any vector function
the following relations are satisfied on interval :
There is no doubt that the nonnegative function belongs to class (sufficient). Let be a linear manifold from the formulation of Lemma 2. Consider the linear operator , which acts in accordance with the representation
where the vector functions and the subsets , are bound (due to Lemma 2 and Remark 2) by the following constructions:
Finally, it remains to show that the linear operator is defined correctly, i.e., that its value is bound up with any vector function is independent of the representation of .
Let and , where and are some fixed disjunctive decompositions of interval , and , . Hence the family of subsets also forms decomposition of interval . Next, put . Since we have on every subset , and, so, due to condition (5), we obtain
and, therefore, . Consequently, . In this case, having introduced the denotations and , for the above functions we obtain a quite obvious chain of equalities
Now, taking account of the fact that the system of subsets forms a disjunctive decomposition of interval , we obtain a conclusion that the following dependence (correspondence) takes place and, consequently, the linear operator has been defined correctly (as a desired extension of operator ).
Obviously, in order to prove the fact of continuity of of the linear map it is sufficient to verify whether relation (5) for the operator is valid. In this case, the fact of continuity of operator follows from the Cauchy-Bunykovskii integral inequality.
Indeed, let, likewise above, where be the decomposition of interval . Hence from the representation
it follows that
So, due to (5), for the function we have
-almost everywhere in . Consequently, this statement is valid -almost everywhere on interval .
Next, in order to complete the proof, it remains only to confirm the existence of property (4) for the operator . So, let
Hence whence, in accordance with the definition of the construction of operator (introduced above), it is possible to summarize:
□
Remark 3.
When estimating the perspective of development of the BDR-theory on the whole in the geometric constructions of -continuity, we have to note that the case, when the -family (1) lies in the uniformly convex Banach space [20] (p. 182), and, furthermore, is analytically more complex (considering the variant of modeling the bilinear structure of the differential model of realization [18]). This qualitative theory contains (in the capacity of a special sub-problem) geometrical constructions of closed decomposable dihedrons [19]. This aspect has not been sufficiently developed in the aspect of analytical grounding of the issue of -continuity. Furthermore, it is necessary to take account of the fact that—under the geometrical BDR-statement—it is hardly ever productive to make an initial assumption that any closed subspace of the scrutinized Banach space may be complemented, because then this space is an isomorph to some Hilbert space (see Theorem 3 [11] (p. 203)), what finally (NB!) does not extend the functional class of operator coefficients of the inverse problem, which has been briefly discussed above in its QTDR-statement (2).
5. About -Continuity: Existence of a Completely Continuous BDR-Model
It is known that, as far as Banach spaces are concerned, the uniform limit for the sequence of finite rank operators is represented by a compact operator. In this paragraph, in the capacity of extension of the mathematical statement of the problem of differential realization (2) we will consider in detail the case, when the modeled operators are burdened with an additional condition, which provides for obvious continuity of the integral representation of equations of realization models. This is provoked by the fact that there (in the spaces with the basis) any compact operator represents a uniform limit of the finite-rank operators [11] (p. 514), what is especially important in the course of development of numerical procedures bound up with approximation of the realization model.
On the other hand, we will also demonstrate below (in the absence of such analysis in [6]) that, when executing an analytical relationship between the projective geometry and the differential realization of modeled infinite-dimensional second-order dynamic processes, the construction of projectivization of the nonlinear functional Relay-Ritz operator and the functional-geometric analysis of conditions of its continuity may be suitably formulated in terms of the language of compact topological manifolds. Within the given context, the analytical construction of the entropy from [6] (in comparison with the construction proposed below) differs in the aspect that the entropy is computed via projectivization of the Relay-Ritz operator. This allows one to efficiently use the property of compactness of the image of projectivization discussed.
Let . In manifold , the linear operator from Theorem 2 has the corresponding nonlinear Relay-Ritz operator [6,12] constructed according to the following rule:
Next, in the geometry of the absorbing set we follow [20] (p. 42): set in the vector space is absorbing, when for any it is possible to find (indicate) a real number such that ; if is a normalized space, then not only each bounded neighborhood of zero but also its boundary with the zero are absorbing sets. Let us denote by the carrier [11] (p. 137) of the real function measurable on . Such a geometric problem statement allows one to reveal an important refinement of Theorem 2.
Lemma 3.
Let , be a linear operator and be some absorbing set in . Hence -continuity of operator is equivalent to the simultaneous satisfaction of the two conditions:
Let us also note another useful BDR-fact.
Lemma 4.
Let . Hence
The proof may be reduced to the compiling of Lemmas 1 and 3 [12].
If we introduce into our consideration the space (vector lattice [11] (p. 363)) of measurable functions and also —quasi-ordering in it with the least lower boundary for the subsets from , then—on account of item (a) of Theorem 17 [11] (p. 68) and Lemmas 1–4, for the BDR-problem (2)—we obtain the following key analytical result:
Theorem 3.
Let be a family of processes (1), be some absorbing set in
and
Hence the BDR-problem
is solvable if and only if some one of the following two conditions is satisfied
Remark 4.
According to item (b) of Theorem 17 [11] (p. 68), there exists a contable set
such that if there lies a functional edge in space , then function is realized by the following sup-construction:
Remark 5.
It follows from the structure of Equation (2) that BDR-solvability is realized for the operator-functions with the accuracy up to the linear manifold
where is the Hamel basis (algebraic basis [11] (p. 74)) in
furthermore, the case when characterizes uniqueness of the BDR-model (2).
In the remaining part of the paper, we intend to address the characteristics of bilinear realizations, which redefine their properties in the aspect of modeling of a posteriori differential equations of systems dynamics.
As far as a system represented by an arbitrary family of processes (1) is concerned, the procedure of constructing equations of its differential realization (2) is rather complex (even in case of a linear model). Meanwhile, the problem becomes quite obvious in one important case (in the context of the problem of approximation [11] (p. 513)); when for the purpose of its bilinear realization (2) its integral -operator (3) is burdened with some additional conditions, which approximate the BDR-problem to the assumption that [6,7,8,9,10]. This type of constructing is formalized by the following construction of the -model.
Definition 3.
The bilinear differential realization (2) will be called completely continuous if its integral operator (3) is compact.
In the context of Definition 3, we have to note that compact operators (including interval ones) possess a range of attractive analytical properties (see [11,20]) and are rather useful in numerous physics applications. Many problems of classical mathematical physics may be simplified if these are formulated in terms of the language of integral equations. In this connection, it is important to possess an efficient criterion of compactness of the given operator or, better, some general statements about integer classes of such operators.
For the purpose of convenience, the subclass of -models corresponding (due to construction (2)) completely to continuous quasi-linear differential realizations will be denoted by , and, when following Definition 1, a subclass from of all -operators is “identified” with the Banach space of all -models; below we use standard denotations of Banach spaces for numerical sequences [11] (p. 147).
Proposition 3.
The linear manifold is closed in space and represents a (homeomorph) factor-space .
Proof.
Having combined Proposition 1 and Theorem 3 [11] (p. 326), one can come to the conclusion that is closed in , furthermore (due to separability of spaces , , and Theorem 1.5.18 [22] (p. 150)), the Banach space is separable.
Now, let us consider the linear operator , while assuming that
where is a countable and everywhere dense set in a unit ball (with its center at zero) from . Operator is continuous; compilation of Theorem 5.1 [23] (p. 132), Theorem 3 [11] (p. 260) and the provision
Next, let be a unit ball (with its center at zero) in , and since , the image be dense in ball , whence it is possible to conclude that spaces and are linearly homomorphous (Lemma 1 [11] (p. 451)). □
Definition 4.
Let be some Banach spaces, , , and be some factor-map. Let us speak that operator is -factor-compact, when , where “closes” the diagram
and, furthermore, the composition represents a compact operator.
![]() |
Let be an operator, which realizes the Bochner integral construct [20]; from now on, [⋅] is a closure operation (according to the context, in spaces or ).
Theorem 4.
The following situation is valid for the solvable BDR -problem (1)–(2):
continuable up to the -factor-compact -operator .
Proof.
Let be a -factor-compact operator of realization (2). Hence operator (3) is equal to and, therefore, the sufficient conditions represent the fact of item (b) of Theorem 2 [11] (p. 325) and Theorem 1.41 [23] (p. 39). Let us confirm the necessary conditions.
Let in (2). Let us take ball of radius (with the center at zero) in , and let be some open cover , where is a factor-map. The fact that covers has a finite sub-cover defines, on the one hand, the fact of homeomorphism of (Theorem 1.41 [23] (p. 39)) and, on the other hand, the fact that due to (3) is a compact subset in space , that completes the proof. □
In the process of constructing the differential realization for the family of dynamic processes (1), one, as a rule (see Remark 5 above), has to do not with one system of equations of realization (2), but with a total family of such systems, what provokes to put forward the problems of constructing “optimal realizations” with respect to some formal criteria of “minimization” (in the given case, we do not speak about realizations [4,9] with respect to the criterion of “minimal dimension”). These problem statements assume several formal mathematical interpretations [24], i.e., it is possible to proceed from the problem of “optimal realization” in the structure of the Banach space with respect to the criterion of norm , or the space with respect to the criterion of norm . Below we’ll reduce our consideration to the problem bound up with investigation of existence of the realization with the minimal operator norm in space
Definition 5.
Let us call the differential realization (2) with -operator for which = min { is operator (3) of BDR-model (2)}, the realization optimal with respect to the criterion of the operator norm .
As known from numerous stories of elaborations of pithy analytical theories, a good definition must be the provision of the theorem. This fact, considered with respect to Definition 5, confirms the following statement.
Theorem 5.
If BDR-model (2) exists, then there exists its -operator for which this BDR-model is “ -optimal” with the operator -norm
where is a minimal linear manifold, which contains the linear hull
and which is invariant with respect to projectors , furthermore, operator has a narrowing and possesses property (4).
Proof.
Note first of all that if there exists a realization (noted in the theorem) then constructions and exist due to Lemma 2 and Theorems 1–3; furthermore, it is obvious that is a Hilbert space in itself. The proof of Theorem 5 will be conducted in the two steps, respectively, for defining the estimate and the estimate .
Defining estimate . Consider operators and , the first one of which is a linear continuous (and unique) continuation on closure with retaining the norms (Theorem 2 [11] (p. 245)), and the second operator is constructed as a linear continuous representation where is a projector in with the kernel (orthogonal complement of ; Theorem 5.16 [23] (p. 151)). Obviously, under such a statement, the following case will be realized:
When turning back to Proposition 1, let us consider the following operator
in the capacity of the “candidate for the role” of operator and, therefore, for the “ -model” (3) of the differential realization (2), the estimate with respect to the criterion of the operator norm , is obviously not larger than .
Defining the estimate . Since is the minimal linear manifold containing and invariant with respect to the family of projectors , the narrowing (on ) of any -operator (in particular, also ) corresponding to the differential realization (2), coincides with , consequently, in case of any realization, the estimate of its “ -model” (3) with respect to the criterion of the operator norm is not smaller than . This proves the theorem. □
When applying some considerations bound up with modification of the operator , and using the second characteristic condition from the statement of Theorem 3, it is possible to obtain the result bound up with the “lower -estimate” for -optimal -operator (in particular, ).
Let us proceed to the details. Note, first of all, since the following relations
hold, let us assume (applying the geometrical techniques [25,26] of projective representations) that
where is a real projective space associated with ; i.e., is a set of orbits of the multiplicative group acting upon . As far as the present interpretation is concerned, the topological properties of space are important, (surely, first of all, its compactness), in particular, if , then the 2-manifold is constructed like a Möbius bund, to which a round is stuck along its boundary [25] (p. 162). Note, in space , it is possible to introduce a structure of the CW-complex [25] (p. 140), which is important in case of consideration of the issue of geometric realization [25] (p. 149); furthermore, it simultaneously aids to deepening the theory of vector fields [26]. In the given context, according to Theorem 3 [27], Theorem 2.3 [25] (p. 47) and Theorem 3 [28] (p. 61), under the condition of bijectivity (mutual reciprocity) of operator , it is possible to compute the fundamental group [25] (p. 46) of the topological space , where is the topology of convergence with respect to measure [11] (p. 58).
When using these remarks, one can easily formulate a “projective variant” of Theorem 3 (see Theorem 6), by replacing the construction of the absorbing set with a projective space , in this case, it is possible to take account of the entropy properties [6] of operator , while considering the functional of the following form:
Without going into obvious details, we have to state that if and then
Theorem 6.
The BDR-problem (1)–(2) is solvable if and only if Furthermore, if the map
represents an -operator of -optimal realization (2), then -norm of operator has the lowest estimate
Proof.
According to Theorem 3, and if is an ordered set of the operator functions, which characterizes the -optimal -operator of BDR-system (2), then, using the Cauchy−Bunyakovskii inequality, we obtain
□
In conclusion, consider the two examples illustrating the potential of the aids of computer algebra [29,30] in the bilinear differential modeling described above. Therefore, we intend to partially reject an illusion that the authors have concentrated their efforts exclusively on the ideological (theoretical) aspect the qualitative theory of -continuity (on account of Remark 3).
Example 1.
Let where is a scalar product in and
Hence
i.e., function
does not belong to class (see Figure 1) and, consequently, according to Theorem 6, realization (2) for the uncontrolled process does not exist.
Figure 1.
The entropy equal ∞.
Example 2.
Let us change the problem statement with respect to Example 1, while putting Hence (see Figure 2), i.e.,
and, consequently, realization (2) for the controlled process exists; it may readily be ascertained that
Figure 2.
The entropy is finite.
Examples 1 and 2 illustrate the obvious fact that if the dimension of the behavioristic dynamic system under investigation (modeling) is “rather high” then the automated symbolic analysis of solvability of the problem of its differential realization may be realized only on the methodological ground of contemporary computer algebra (possibly with elaboration of new specialized algorithms). Such direct “contact” of a nonlinear infinite-dimensional theory of differential realization of complex physic phenomena and the methods of computer algebra, is expected to be fruitful both for theoretical physics and for mathematics.
6. Conclusions
As far as the history of natural science is concerned, the problem of “optimization of the adequacy” of mathematical models, which describe the physical processes observed, has always been the central problem (it is sufficient to indicate to Ptolemeus “Almagest” and to Kepler’s laws). Within the frames of the given context, the principal goal of contemporary theoretical natural science presumes an explanation of the given set of the observed physical processes with the aid of some minimal set of postulated mathematical concepts and the quantitative laws expressed via them. The present work has been fulfilled within the framework of exactly this methodological approach, different to the mathematical problems of the bilinear non-autonomous differential second-order realization of infinite-dimensional nonlinear behavioral dynamic systems.
To this end, the present paper has developed a qualitative functional-geometric approach allowing one to see the problems of second-order differential realization bound up with the exogenous behavior of an infinite-dimensional dynamic system (in the system-theoretic problem statement) in a new light, when the modeled operators are burdened with the condition, which provides obvious continuity of the integral representation of equations of the realization model. Furthermore, we would like to understand what corrections have to be introduced into the theory of non-linear functional Relay-Ritz operators [27] in order to reconsider (see in a new light) the provisions of converse problems bound up with bilinear non-autonomous second-order evolution equations and analyze them in greater detail from the viewpoint of projective geometry, entropy analysis and qualitative theory of differential realization.
It so happened that the application aspect of the BDR-problem has remained beyond the frames of the present paper. The solvability of the problem of differential realization itself internally presumes the process of a posteriori constructing models [31,32,33,34], while including also the models for inverse problems of neurodynamics [35,36] on the basis of processing information of contemporary multichannel neural implants [37]. So, it is necessary to note, the material of the present paper may be considered as the basis for the initial (and, possibly, necessary) stage in the study of realization/identification of differential bilinear systems (of orders 2 and higher [7,15]) in the Hilbert space, as a division of the theory of inverse problems of infinite-dimensional nonlinear analysis; in particular, on the basis of development (see Examples 1 and 2 above) of computer algebra methods and aids [29,30]. In this connection, in the case of finite-dimensional systems, we can refer the reader to [38], wherein a constructive procedure of building up bilinear differential realizations has been proposed, which allows us to show how one can model Euler equations in the capacity of some empirical extrapolation of the realization of the observed spatial rotation motions of a rigid body in the aspect of statement of the problem of structural identification of differential equations bound up with dynamics of nonlinear physical processes.
When considering the methodological aspect of the present paper in the context of the entropy issue [6,39], it is worth noting that functional (6) may be interpreted as the entropy characteristic for the behavioristic -system to be modeled, when the -estimate of the value of for the -model of the -optimal differential realization of -system stands out in the capacity of the measure of its “internal disorder”. Therefore, in the case of nonlinear dynamic processes (1), which take place in the scrutinized (BDR-modeled) -system, entropy (6) either grows or remains constant, when the trajectory bundle remains unchanged. Due to Theorem 6, within the frames of the given mathematical paradigm, the qualitative BDR-theory may conceptually be constructed on the analytical basis of the following “ad hoc-postulate”: the behavioral -system (1) possesses BDR-representation (2) if and only if entropy is finite.
Without any additional reasoning, which motivates the “ad hoc-postulate” in the context of Remark 3, let us note that the issue bound up with understanding of when the “ad hoc-postulate” makes the corresponding -continuation in the problem statement for the Hilbert space (continuously embedded into the Banach space), while forming an everywhere dense space [21] (p. 175) (and, in this case, some identified operators shall have an analytical representation in the class of strongly positive definite [21] (p. 176) self-conjugated operators), is quite complex and, nevertheless, it is attractive from the system-theoretic viewpoint. The issue of solvability of the problem of differential realization in the class of hyperbolic models [21] (p. 456) is tightly tied up with abovementioned functional-analytical aspect. It surely forms a special (separate) investigation. This direction is seen by us as a quite perspective one, which is bound up with investigations of the QTDR-problems of poly-linear non-autonomous differential evolution equations of higher orders. This is bound up with the application of our ideas to the issues of modeling nonlinear equations of neuro-morphous dynamics [35,36], while giving an excellent example of the interaction between nonlinear functional analysis and mathematical physics. On the whole, the idea of applying abstract methods of the theory of nonlinear differential realization of higher orders (with or without delay) is really useful both as the integrating factor and as the source of new results bound up with the theory of nonlinear mathematical modeling of complex (interconnected) infinite-dimensional dynamic systems. It is possible to hope that development of system-theoretic ideas of QTDR will (i) foster elevation of the level of mathematical culture of physicists, and (ii) stimulate a deeper understanding of important problems and perspectives of physics and a way to develop physics by mathematicians.
Author Contributions
Conceptualization, V.A.R. and A.V.L.; Methodology, V.A.R.; Formal analysis, A.V.L.; Writing—original draft, V.A.R.; Writing—review & editing, A.V.D. and A.V.B. All authors have read and agreed to the published version of the manuscript.
Funding
This investigation was financially supported by the Ministry of Education and Science of Russian Federation (Project: No. 121041300056-7).
Conflicts of Interest
The authors declare no conflict of interest.
References
- Willems, J.C. System theoretic models for the analysis of physical systems. Ric. Aut. 1979, 10, 71–106. [Google Scholar]
- Kolmogorov, A.N. Curves invariant under a one-parameter group of motions in Hilbert space. In Selected Works: Mathematics and Mechanics; Nauka: Moscow, Russia, 2005; Volume 1, pp. 296–300. (In Russian) [Google Scholar]
- Hasanov, A.H.; Romanov, V.G. Introduction to Inverse Problems for Differential Equations; Springer International Publishing AG: Berlin, Germany, 2017. [Google Scholar]
- Anikonov, Y.E.; Neshchadim, M.V. On analytical methods in the theory of inverse problems for hyperbolic equations. II. J. Appl. Ind. Math. 2012, 6, 6–11. [Google Scholar] [CrossRef]
- Kabanikhin, S.I. Inverse and Ill-Posed Problems; Siberian Scientific Publishing Department: Novosibirsk, Russia, 2009. (In Russian) [Google Scholar]
- Daneev, A.V.; Rusanov, V.A.; Sharpinskii, D.Y. The entropy maximum principle in the structural identification of dynamical systems: An analytic approach. Russ. Math. 2005, 49, 14–22. [Google Scholar]
- Van der Schaft, A.J. On realization of nonlinear systems described by higher-order differential equations. Math. Syst. Theory 1987, 19, 239–275. [Google Scholar]
- Dmitriev, A.V.; Druzhinin, E.I. Identification of dynamic characteristics of continuous linear models under conditions of complete parametric uncertainty. J. Comput. Syst. Sci. Int. 1999, 38, 376–385. [Google Scholar]
- Yurko, V.A. Recovering variable order differential operators on star-type graphs from spectra. Differ. Equ. 2013, 49, 1490–1501. [Google Scholar] [CrossRef]
- Korovin, S.K.; Krishchenko, A.P.; Chetverikov, V.N. Nonlinear input–output mappings and their minimal realizations. Dokl. Math. 2010, 82, 838–842. [Google Scholar] [CrossRef]
- Kantorovich, L.V.; Akilov, G.P. Functional Analysis; Nauka: Moscow, Russia, 1977. (In Russian) [Google Scholar]
- Rusanov, V.A.; Antonova, L.V.; Daneev, A.V. Inverse problem of nonlinear systems analysis: A behavioral approach. Adv. Differ. Equ. Control. Process. 2012, 10, 69–88. [Google Scholar]
- Chen, Y.A. New one-parameter inhomogeneous differential realization of the spl(2,1) superalgebra. Int. J. Theor. Phys. 2012, 51, 3763–3768. [Google Scholar] [CrossRef]
- Rusanov, V.A.; Daneev, A.V.; Linke, Y.É. To the geometrical theory of the differential realization of dynamic processes in a Hilbert space. Cybern. Syst. Anal. 2017, 53, 554–564. [Google Scholar] [CrossRef]
- Kabanikhin, S.; Satybaev, A.; Shishlenin, M. Direct Methods of Solving Multidimensional Inverse Hyperbolic Problems. De Gruyter: Berlin, Germany, 2004. [Google Scholar]
- Ramazanova, A.T.; Kuliyev, H.F.; Roesch, A. An inverse problem for determining right hand side of equations for hyperbolic equation of fourth order. Adv. Differ. Equ. Control. Process. 2019, 20, 143–161. [Google Scholar] [CrossRef]
- Anikonov, Y.E.; Neshchadim, M.V. Representations for the Solutions and Coefficients of Second-Order Differential Equations. J. Appl. Ind. Math. 2013, 7, 15–21. [Google Scholar] [CrossRef]
- Lakeyev, A.V.; Linke, Y.É.; Rusanov, V.A. On the differential realization of a second-order bilinear system in a Hilbert space. J. Appl. Ind. Math. 2019, 13, 261–269. [Google Scholar] [CrossRef]
- Massera, J.L.; Schaffer, J.J. Linear Differential Equations and Function Spaces; Academic Press: New York, NY, USA, 1966. (In Russian) [Google Scholar]
- Yosida, K. Functional Analysis; Springer: Berlin, Germany, 1965. [Google Scholar]
- Krasnoselsky, M.A.; Zabreiko, P.P.; Pustylnik, E.I.; Sobolevsky, P.E. Integral Operators in the Space of Summed Functions; Nauka: Moscow, Russia, 1966. (In Russian) [Google Scholar]
- Warga, J. Optimal Control of Differential and Functional Equations; Nauka, Translator; Academic Press: New York, NY, USA, 1975. (In Russian) [Google Scholar]
- Rudin, W. Functional Analysis; McGraw-Hill: New York, NY, USA, 1973. [Google Scholar]
- Rusanov, V.A.; Antonova, L.V.; Daneev, A.V.; Mironov, A.S. Differential realization with a minimum operator norm of a controlled dynamic process. Adv. Differ. Equ. Control. Process. 2013, 11, 1–40. [Google Scholar]
- Prasolov, V.V. Elements of Combinatorial and Differentiable Topology; MTsNMO: Moscow, Russia, 2014. (In Russian) [Google Scholar]
- Novikov, S.P.; Taimanov, I.A. Modern Geometric Structures and Fields; MTsNMO: Moscow, Russia, 2014. (In Russian) [Google Scholar]
- Rusanov, V.A.; Daneev, A.V.; Lakeyev, A.V.; Linke, Y.É. On the theory of differential realization: Criteria of continuity of the nonlinear Rayleigh-Ritz operator. Int. J. Funct. Anal. Oper. Theory Appl. 2020, 12, 1–22. [Google Scholar] [CrossRef]
- Fomenko, A.T.; Fuks, D.B. Homotopic Topology; Nauka: Moscow, Russia, 1989. (In Russian) [Google Scholar]
- Grabmeier, J.; Kaltofen, E.; Weispfenning, V. Handbook in Computer Algebra: Foundations, Applications, Systems; Springer: Berlin, Germany, 2003. [Google Scholar]
- Cohen, J.S. Computer Algebra and Symbolic Computation: Mathematical Methods; A K Peters, Ltd.: Natick, MA, USA, 2003. [Google Scholar]
- Ahmed, N.U. Optimization and Identification of Systems Governed by Evolution Equations on Banach Space; John Wiley and Sons: New York, NY, USA, 1988. [Google Scholar]
- Sergienko, I.V.; Deineka, V.S. Identifying parameters of elliptic-pseudoparabolic distributed systems. Cybern. Syst. Anal. 2011, 47, 28–50. [Google Scholar] [CrossRef]
- Druzhinin, E.I. Flight-test-based construction of structurally stable models for the dynamics of large space structures. Dokl. Math. 2017, 95, 295–298. [Google Scholar] [CrossRef]
- Kaiser, E.; Kutz, J.N.; Brunton, S.L. Sparse identification of nonlinear dynamics for model predictive control in the low-data limit. arXiv 2018, arXiv:1711.05501. [Google Scholar] [CrossRef] [PubMed]
- Brzychczy, S.; Poznanski, R. Mathematical Neuroscience; Academic Press: Cambridge, MA, USA, 2013. [Google Scholar]
- Daneev, A.V.; Lakeyev, A.V.; Rusanov, V.A.; Plesnyov, P.A. Differential non-autonomous representation of the integrative activity of a neural population by a bilinear second-order model with delay. Lect. Notes Netw. Syst. 2022, 319, 191–199. [Google Scholar]
- Musk, E. An integrated brain-machine interface platform with thousands of channels. J. Med. Internet Res. 2019, 21, e16194. [Google Scholar] [CrossRef]
- Rusanov, V.A.; Sharpinskii, D.Y. The theory of the structural identification of nonlinear multidimensional systems. J. Appl. Math. Mech. 2010, 74, 84–94. [Google Scholar] [CrossRef]
- Popkov, Y.S. Controlled positive dynamic systems with an entropy operator: Fundamentals of the theory and applications. Mathematics 2021, 9, 2585. [Google Scholar] [CrossRef]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

