The current conditions of the world economy development are characterized by the aggravation of the struggle between countries for technological leadership in the transition to a new technological mode on the basis of Industry 5.0, and the negative impact of barriers in international trade in goods and technologies due to sanctions against Russia, which creates windows of opportunity in the field of ensuring technological sovereignty on its own industrial base. One of the most important factors for the successful implementation of the windows of opportunity for the development of domestic production of high-tech products is the stimulation of the processes of attracting private investments in industrial enterprises of large, medium and small-sized business, including through the formation of an effective system of state support tools. The aim of the article is to improve the processes of attracting industrial investments, specifically in the context of identifying factors that can have a negative impact on the investment activities of Russian enterprises of various size groups by analyzing and adjusting the existing tools of state support for industrial enterprises, including small technology companies, in the constituent entities of the Russian Federation and developing areas for their improvement in order to ensure technological security under the conditions of sanctions. The article studies the features of the investment industrial infrastructure as exemplified by the most industrially developed regions of the Volga and Ural Federal Districts. The insufficient level of investment of small industrial enterprises in comparison to large and medium-sized business has been revealed. It has been found that the sanctions did not affect small and medium-sized business in comparison to large enterprises due to their insufficient role in the production of gross regional product and exports. The efficiency of investment resource utilization in the regions under consideration has been assessed using the data envelopment analysis model oriented on maximization of the result. According to the modeling results, the Republic of Tatarstan and the Sverdlovsk Region have been identified as efficient regions. The experience of the best practice of these regions has been analyzed, and the tools of key federal and regional development institutions has been considered, including those cofinanced by them as part of joint development projects. Promising directions for stimulating investment processes in the Republic of Bashkortostan and other regions of Russia on the basis of improving the efficiency and effectiveness of their investment industrial infrastructure for the timely implementation of the windows of opportunity to achieve technological leadership have been proposed.
Citation: Pavel Ivanov, Tatyana Altufeva. Stimulating the processes of attracting investments in industry of the constituent entities of the Russian Federation[J]. National Accounting Review, 2024, 6(3): 352-366. doi: 10.3934/NAR.2024016
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The current conditions of the world economy development are characterized by the aggravation of the struggle between countries for technological leadership in the transition to a new technological mode on the basis of Industry 5.0, and the negative impact of barriers in international trade in goods and technologies due to sanctions against Russia, which creates windows of opportunity in the field of ensuring technological sovereignty on its own industrial base. One of the most important factors for the successful implementation of the windows of opportunity for the development of domestic production of high-tech products is the stimulation of the processes of attracting private investments in industrial enterprises of large, medium and small-sized business, including through the formation of an effective system of state support tools. The aim of the article is to improve the processes of attracting industrial investments, specifically in the context of identifying factors that can have a negative impact on the investment activities of Russian enterprises of various size groups by analyzing and adjusting the existing tools of state support for industrial enterprises, including small technology companies, in the constituent entities of the Russian Federation and developing areas for their improvement in order to ensure technological security under the conditions of sanctions. The article studies the features of the investment industrial infrastructure as exemplified by the most industrially developed regions of the Volga and Ural Federal Districts. The insufficient level of investment of small industrial enterprises in comparison to large and medium-sized business has been revealed. It has been found that the sanctions did not affect small and medium-sized business in comparison to large enterprises due to their insufficient role in the production of gross regional product and exports. The efficiency of investment resource utilization in the regions under consideration has been assessed using the data envelopment analysis model oriented on maximization of the result. According to the modeling results, the Republic of Tatarstan and the Sverdlovsk Region have been identified as efficient regions. The experience of the best practice of these regions has been analyzed, and the tools of key federal and regional development institutions has been considered, including those cofinanced by them as part of joint development projects. Promising directions for stimulating investment processes in the Republic of Bashkortostan and other regions of Russia on the basis of improving the efficiency and effectiveness of their investment industrial infrastructure for the timely implementation of the windows of opportunity to achieve technological leadership have been proposed.
Let C be the complex plane. Denote by CN the N-dimensional complex Euclidean space with the inner product ⟨z,w⟩=∑Nj=1zj¯wj; by |z|2=⟨z,z⟩; by H(CN) the set of all holomorphic functions on CN; and by I the identity operator on CN.
The Fock space F2(CN) is a Hilbert space of all holomorphic functions f∈H(CN) with the inner product
⟨f,g⟩=1(2π)N∫CNf(z)¯g(z)e−12|z|2dν(z), |
where ν(z) denotes Lebesgue measure on CN. To simplify notation, we will often use F2 instead of F2(CN), and we will denote by ‖f‖ the corresponding norm of f. The reproducing kernel functions of the Fock space are given by
Kw(z)=e⟨z,w⟩2,z∈CN, |
which means that if f∈F2, then f(z)=⟨f,Kz⟩ for all z∈CN. It is easy to see that ‖Kw‖=e|w|2/4. Therefore, the following evaluation holds:
|f(z)|≤e|z|24‖f‖ |
for f∈F2 and z∈CN. If kw is the normalization of Kw, then
kw(z)=e⟨z,w⟩2−|w|24,z∈CN. |
Indeed, F2 is used to describe systems with varying numbers of particles in the states of quantum harmonic oscillators. On the other hand, the reproducing kernels in F2 are used to describe the coherent states in quantum physics. See [17] for more about the Fock space, and see [1,7,11] for the studies of some operators on the Fock space.
For a given holomorphic mapping φ:CN→CN and u∈H(CN), the weighted composition operator, usually denoted by Wu,φ, on or between some subspaces of H(CN) is defined by
Wu,φf(z)=u(z)f(φ(z)). |
When u=1, it is the composition operator, usually denoted by Cφ. While φ(z)=z, it is the multiplication operator, usually denoted by Mu.
Forelli in [8] proved that the isometries on Hardy space Hp defined on the open unit disk (for p≠2) are certain weighted composition operators, which can be regarded as the earliest presence of the weighted composition operators. Weighted composition operators have also been used in descriptions of adjoints of composition operators (see [4]). An elementary problem is to provide function-theoretic characterizations for which the symbols u and φ induce a bounded or compact weighted composition operator on various holomorphic function spaces. There have been many studies of the weighted composition operators and composition operators on holomorphic function spaces. For instance, several authors have recently worked on the composition operators and weighted composition operators on Fock space. For the one-variable case, Ueki [13] characterized the boundedness and compactness of weighted composition operators on Fock space. As a further work of [13], Le [10] found the easier criteria for the boundedness and compactness of weighted composition operators. Recently, Bhuia in [2] characterized a class of C-normal weighted composition operators on Fock space.
For the several-variable case, Carswell et al. [3] studied the boundedness and compactness of composition operators. From [3], we see that the one-variable case composition operator Cφ is bounded on Fock space if and only if φ(z)=az+b, where |a|≤1, and if |a|=1, then b=0. Let A:CN→CN be a linear operator. Zhao [14,15,16] characterized the unitary, invertible, and normal weighted composition operator Wu,φ on Fock space, when φ(z)=Az+b and u=kc. Interestingly enough, Zhao [15] proved that for φ(z)=Az+b and u(z)=Kc(z), weighted composition operator Wu,φ is bounded on Fock space if and only if ‖A‖≤1 and ⟨Aζ,b+Ac⟩=0 whenever |Aζ|=|ζ| for ζ∈CN.
Motivated by the above-mentioned interesting works, for the special symbols φ(z)=Az+b and u=Kc, here we study the adjoint, self-adjointness, and hyponormality of weighted composition operators on Fock space. Such properties of the abstract or concrete operators (for example, Toeplitz operators, Hankel operators, and composition operators) have been extensively studied on some other holomorphic function spaces. This paper can be regarded as a continuation of the weighted composition operators on Fock space.
In this section, we characterize the adjoints of weighted composition operators Wu,φ on Fock space, where φ(z)=Az+b and u=Kc.
We first have the following result:
Lemma 2.1. Let A, B:CN→CN be linear operators with ‖A‖≤1 and ‖B‖≤1, φ(z)=Az+a, ψ(z)=Bz+b for a,b∈CN, and the operators Cφ and Cψ be bounded on F2. Then
C∗φCψ=WKa,BA∗z+b, |
where A∗ is the adjoint operator of A.
Proof. From Lemma 2 in [3], it follows that
C∗φCψ=MKaCA∗zCBz+b=MKaC(Bz+b)∘A∗z=MKaCBA∗z+b=WKa,BA∗z+b, |
from which the result follows. The proof is complete.
In Lemma 2.1, we prove that the product of the adjoint of a composition operator and another composition operator is expressed as a weighted composition operator. Next, we will see that in some sense, the converse of Lemma 2.1 is also true. Namely, we will prove that if φ(z)=Az+b, where A:CN→CN is a linear operator with ‖A‖<1, and u=Kc, then the operator Wu,φ on F2 can be written as the product of the adjoint of a composition operator and another composition operator.
Lemma 2.2. Let A:CN→CN be a linear operator with ‖A‖<1. If A and c satisfy the condition ⟨A∗ζ,c⟩=0 whenever |A∗ζ|=|ζ|, then there exists a positive integer n such that the operator Wu,φ on F2 defined by φ(z)=Az+b and u(z)=Kc(z) is expressed as
Wu,φ=C∗n+1nA∗z+cCnn+1z+b. |
Proof. From Theorem 2 in [3], we see that the operator CA∗z+c is bounded on F2. Since ‖A∗‖<1, there exists a large enough positive integer n such that
‖(1+1n)A∗‖≤1. |
Also, by Theorem 2 in [3], the operator Cn+1nA∗z+c is bounded on F2, which implies that the operator C∗n+1nA∗z+c is also bounded on F2. Since |nn+1Iζ|=|ζ| if and only if ζ=0, ⟨nn+1Iζ,b⟩=0 whenever |nn+1Iζ|=|ζ|. By Theorem 2 in [3], the operator Cnn+1Iz+b is bounded on F2. Then, it follows from Lemma 2.1 that
C∗n+1nA∗z+cCnn+1Iz+b=WKc,Az+b. |
The proof is complete.
Now, we can obtain the adjoint for some weighted composition operators.
Theorem 2.1. Let φ(z)=Az+b, u(z)=Kc(z), and A and c satisfy ⟨A∗ζ,c⟩=0 whenever |A∗ζ|=|ζ|. Then it holds that
W∗u,φ=WKb,A∗z+c. |
Proof. In Lemma 2.2, we have
Wu,φ=C∗n+1nA∗z+cCnn+1Iz+b. | (2.1) |
It follows from (2.1) that
W∗u,φ=C∗nn+1Iz+bCn+1nA∗z+c. | (2.2) |
Therefore, from (2.2) and Lemma 2.1, the desired result follows. The proof is complete.
By using the kernel functions, we can obtain the following result:
Lemma 2.3. Let the operator Wu,φ be a bounded operator on F2. Then it holds that
W∗u,φKw=¯u(w)Kφ(w). |
Proof. Let f be an arbitrary function in F2. We see that
⟨W∗u,φKw,f⟩=⟨Kw,Wu,φf⟩=¯⟨Wu,φf,Kw⟩=¯u(w)f(φ(w))=¯u(w)⟨Kφ(w),f⟩. |
From this, we deduce that W∗u,φKw=¯u(w)Kφ(w). The proof is complete.
Here, we characterize the self-adjoint weighted composition operators.
Theorem 2.2. Let A:CN→CN be a linear operator, b,c∈CN, φ(z)=Az+b, u(z)=Kc(z), and the operator Wu,φ be bounded on F2. Then the operator Wu,φ is self-adjoint on F2 if and only if A:CN→CN is self-adjoint and b=c.
Proof. In Lemma 2.3, we have
W∗u,φKw(z)=¯u(w)Kφ(w)=¯Kc(w)e⟨z,φ(w)⟩2=e⟨c,w⟩2e⟨z,Aw+b⟩2. | (2.3) |
On the other hand,
Wu,φKw(z)=u(z)Kw(φ(z))=e⟨z,c⟩2e⟨Az+b,w⟩2. | (2.4) |
It is clear that operator Wu,φ is self-adjoint on F2 if and only if
W∗u,φKw=Wu,φKw. |
From (2.3) and (2.4), it follows that
e⟨c,w⟩2e⟨z,Aw+b⟩2=e⟨z,c⟩2e⟨Az+b,w⟩2. | (2.5) |
Letting z=0 in (2.5), we obtain that e⟨c,w⟩2=e⟨b,w⟩2 which implies that
⟨c,w⟩−⟨b,w⟩=4kπi, | (2.6) |
where k∈N. Also, letting w=0 in (2.6), we see that k=0. This shows that ⟨c,w⟩−⟨b,w⟩=0, that is, ⟨c,w⟩=⟨b,w⟩. From this, we deduce that b=c. Therefore, (2.5) becomes e⟨z,Aw⟩2=e⟨Az,w⟩2. From this, we obtain that ⟨z,Aw⟩=⟨Az,w⟩, which implies that ⟨A∗z,w⟩=⟨Az,w⟩. This shows that A=A∗, that is, A:CN→CN is self-adjoint.
Now, assume that A is a self-adjoint operator on CN and b=c. A direct calculation shows that (2.5) holds. Then Wu,φ is a self-adjoint operator on F2. The proof is complete.
In [14], Zhao proved that the operator Wu,φ on F2 is unitary if and only if there exist an unitary operator A:CN→CN, a vector b∈CN, and a constant α with |α|=1 such that φ(z)=Az−b and u(z)=αKA−1b(z). Without loss of generality, here we characterize the self-adjoint unitary operator Wu,φ on F2 for the case α=1 and obtain the following result from Theorem 2.2.
Corollary 2.1. Let A:CN→CN be a unitary operator and b∈CN such that φ(z)=Az−b and u(z)=KA−1b(z). Then the operator Wu,φ is self-adjoint on F2 if and only if A:CN→CN is self-adjoint and Ab+b=0.
First, we recall the definition of hyponormal operators. An operator T on a Hilbert space H is said to be hyponormal if ‖Ax‖≥‖A∗x‖ for all vectors x∈H. T is called co-hyponormal if T∗ is hyponormal. In 1950, Halmos, in his attempt to solve the invariant subspace problem, extended the notion of normal operators to two new classes, one of which is now known as the hyponormal operator (see [9]). Clearly, every normal operator is hyponormal. From the proof in [6], it follows that T is hyponormal if and only if there exists a linear operator C with ‖C‖≤1 such that T∗=CT. In some sense, this result can help people realize the characterizations of the hyponormality of some operators. For example, Sadraoui in [12] used this result to characterize the hyponormality of composition operators defined by the linear fractional symbols on Hardy space. On the other hand, some scholars studied the hyponormality of composition operators on Hardy space by using the fact that the operator Cφ on Hardy space is hyponormal if and only if
‖Cφf‖2≥‖C∗φf‖2 |
for all f in Hardy space. For example, Dennis in [5] used the fact to study the hyponormality of composition operators on Hardy space. In particular, this inequality for norms is used when f is a reproducing kernel function Kw for any w∈CN. Actually, to the best of our knowledge, there are few studies on the hyponormality of weighted composition operators. Here, we consider this property of weighted composition operators on Fock space.
First, we have the following result, which can be proved by using the reproducing kernel functions.
Lemma 3.1. Let w∈CN and the operator Wu,φ be bounded on F2. Then
‖Wu,φKw‖2=W∗u,φWu,φKw(w). |
Proof. From the inner product, we have
‖Wu,φKw‖2=⟨Wu,φKw,Wu,φKw⟩=⟨W∗u,φWu,φKw,Kw⟩=W∗u,φWu,φKw(w). |
The proof is complete.
Theorem 3.1. Let A:CN→CN be a linear operator, φ(z)=Az+b, u=kc, and the operator Wu,φ be bounded on F2. If the operator Wu,φ is hyponormal on F2, then A∗b−b=Ac−c and |b|≤|c|.
Proof. From a direct calculation, we have
Wu,φKw(z)=u(z)Kw(φ(z))=kc(z)Kw(Az+b)=e⟨z,c⟩2−|c|24e⟨Az+b,w⟩2=e⟨z,A∗w+c⟩+⟨b,w⟩2−|c|24=e⟨b,w⟩2−|c|24KA∗w+c(z). | (3.1) |
From (3.1), it follows that
W∗u,φWu,φKw(z)=e⟨b,w⟩2−|c|24W∗u,φKA∗w+c(z)=e⟨b,w⟩2−|c|24¯u(A∗w+c)Kφ(A∗w+c)(z)=e⟨b,w⟩2+⟨c,A∗w+c⟩2+⟨z,AA∗w+Ac+b⟩2−|c|22=e⟨b+Ac,w⟩2+⟨z,AA∗w⟩2+⟨z,Ac+b⟩2. | (3.2) |
On the other hand, we also have
Wu,φW∗u,φKw(z)=¯u(w)Wu,φKφ(w)(z)=¯u(w)u(z)Kφ(w)(φ(z))=e⟨c,w⟩2+⟨z,c⟩2+⟨Az+b,Aw+b⟩2−|c|22=e⟨c+A∗b,w⟩2+|b|22+⟨z,AA∗w⟩2+⟨z,c+A∗b⟩2−|c|22. | (3.3) |
From Lemma 3.1, (3.2), and (3.3), it follows that
‖W∗u,φKw‖2=Wu,φW∗u,φKw(w)=e⟨c+A∗b,w⟩2+|b|22+|A∗w|22+⟨w,c+A∗b⟩2−|c|22 |
and
‖Wu,φKw‖2=W∗u,φWu,φKw(w)=e⟨b+Ac,w⟩2+|A∗w|22+⟨w,Ac+b⟩2. |
Then, we have
‖W∗u,φKw‖2−‖Wu,φKw‖2=e|A∗w|22(e⟨c+A∗b,w⟩2+|b|22+⟨w,c+A∗b⟩2−|c|22−e⟨b+Ac,w⟩2+⟨w,Ac+b⟩2), |
which shows that
‖W∗u,φKw‖2−‖Wu,φKw‖2≤0 |
for all w∈CN if and only if
e⟨c+A∗b,w⟩2+|b|22+⟨w,c+A∗b⟩2−|c|22≤e⟨b+Ac,w⟩2+⟨w,Ac+b⟩2. | (3.4) |
It is clear that (3.4) holds if and only if
⟨c+A∗b,w⟩+|b|2+⟨w,c+A∗b⟩−|c|2≤⟨b+Ac,w⟩+⟨w,Ac+b⟩. | (3.5) |
From (3.5), we see that (3.4) holds if and only if
⟨A∗b−Ac+c−b,w⟩+⟨w,A∗b−Ac+c−b⟩+|b|2−|c|2≤0. | (3.6) |
Therefore, we deduce that (3.4) holds for all w∈CN if and only if |b|≤|c| and A∗b−b=Ac−c. The proof is complete.
If b=c=0 in Theorem 3.1, then Wu,φ is reduced into the composition operator CAz. For this case, Theorem 3.1 does not provide any useful information on the operator A:CN→CN when CAz is hyponormal on F2. However, we have the following result, which completely characterizes the hyponormal composition operators:
Theorem 3.2. Let A:CN→CN be a linear operator such that CAz is bounded on F2. Then the operator CAz is hyponormal on F2 if and only if A:CN→CN is co-hyponormal.
Proof. Assume that A:CN→CN is co-hyponormal. Then there exists an operator B:CN→CN with ‖B‖≤1 such that A=BA∗. We therefore have
C∗Az=CA∗z=CAB∗z=CB∗zCAz. |
Next, we want to show that ‖CB∗z‖=1. By Theorem 4 in [3], we have
‖CB∗z‖=e14(|w0|2−|B∗w0|2), | (3.7) |
where w0 is any solution to (I−BB∗)w=0. From this, we obtain that w0=BB∗w0, and then
|B∗w0|2=⟨B∗w0,B∗w0⟩=⟨w0,BB∗w0⟩=⟨w0,w0⟩=|w0|2. | (3.8) |
Thus, by considering (3.7) and (3.8), we see that ‖CB∗z‖=1. It follows that the operator CAz is hyponormal on F2.
Now, assume that the operator CAz is hyponormal on F2. Then there exists a linear operator C on F2 with ‖C‖≤1 such that C∗Az=CCAz. By Lemma 2 in [3], we have C∗Az=CA∗z. This shows that CCAz is a composition operator. This result shows that there exists a holomorphic mapping φ:CN→CN such that C=Cφ. So A∗z=A(φ(z)) for all z∈CN, which implies that there exists a linear operator B:CN→CN such that φ(z)=B∗z, and then C=CB∗z. Therefore, A∗=AB∗, that is, A=BA∗. Since ‖C‖≤1, this shows that the operator C=CB∗z is bounded on F2. From Lemma 2.3 in [15], we obtain that ‖B∗‖≤1, which also shows that ‖B‖≤1 since ‖B∗‖=‖B‖. We prove that A:CN→CN is co-hyponormal. The proof is complete.
Remark 3.1. In the paper, we only obtain a necessary condition for the hyponormality of weighted composition operators on Fock space. We hope that the readers can continuously consider the problem in Fock space.
In this paper, I give a proper description of the adjoint W∗u,φ on Fock space for the special symbol functions u(z)=Kc(z) and φ(z)=Az+b. However, it is difficult to give a proper description of the general symbols. On the other hand, I consider the hyponormal weighted composition operators on Fock space and completely characterize hyponormal composition operators on this space. I hope that people are interested in the research in this paper.
The authors declare they have not used Artificial Intelligence (AI) tools in the creation of this article.
This study was supported by Sichuan Science and Technology Program (2024NSFSC0416).
The author declares that he has no competing interests.
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