Self-Consistent Renormalization as an Efficient Realization of Main Ideas of the Bogoliubov−Parasiuk R-operation

“...At the present time, the intimate connection between causality and the analytic continuation is revealed. So, it is not improbable to develop a subtraction procedure even in the most general case by the use of analytic continuation techniques.” (O.S. Parasiuk,, 1956 ). This possibility is reali...

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Автор: Kucheryavy, V.I.
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Цитувати:Self-Consistent Renormalization as an Efficient Realization of Main Ideas of the Bogoliubov−Parasiuk R-operation / V.I. Kucheryavy // Український фізичний журнал. — 2010. — Т. 55, № 5. — С. 487-504. — Бібліогр.: 87 назв. — англ.

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spelling irk-123456789-561902014-02-14T03:10:30Z Self-Consistent Renormalization as an Efficient Realization of Main Ideas of the Bogoliubov−Parasiuk R-operation Kucheryavy, V.I. Поля та елементарні частинки “...At the present time, the intimate connection between causality and the analytic continuation is revealed. So, it is not improbable to develop a subtraction procedure even in the most general case by the use of analytic continuation techniques.” (O.S. Parasiuk,, 1956 ). This possibility is realized explicitly and efficiently in a body of our self-consistent renormalization (SCR). The self-consistency means that all formal relations between UV-divergent Feynman amplitudes are automatically retained as well as between their regular values obtained in the framework of the SCR. Self-consistent renormalization is efficiently applicable on equal grounds both to renormalizable and nonrenormalizable theories. The SCR furnishes new means for the constructive treatment of new subjects: i) UVdivergence problems associated with symmetries, Ward identities, and quantum anomalies; ii) new relations between finite bare and finite physical parameters of quantum field theories. The aim of this paper is to expose main ideas and properties of the SCR and to describe three mutually complementary algorithms of the SCR that are presented in the form maximally suited for practical applications. “...В зв’язку з тим, що в останнiй час знайдено тiсний зв’язок мiж причиновiстю та аналiтичнiстю, не виключена ймовiрнiсть побудови вiднiмальної операцiї навiть в самому загальному випадку методами аналiтичного продовження.” (О.С. Парасюк, 1956 ). Цю можливiсть реалiзовано явно та ефективно засобами нашої самоузгодженої ренормалiзацiї (СУР). Пiд самоузгодженiстю розумiють, що всi формальнi спiввiдношення мiж УФрозбiжними фейнмановими амплiтудами також автоматично зберiгаються мiж їхнiми регулярними значеннями, знайденими згiдно з процедурою СУР. Самоузгоджена ренормалiзацiя з однаковою ефективнiстю застосовна як до ренормовних, так i до неренормовних теорiй. СУР має ефективнi засоби для конструктивного розгляду нових задач: а) ренормалiзацiйних проблем, що пов’язанi з симетрiями, тотожностями Уорда та квантовими аномалiями; б) нових взаємозв’язкiв мiж скiнченними зародковими та скiнченними фiзичними параметрами квантово-польових теорiй. Наведено огляд головних iдей та властивостей СУР, а також чiтко описано три взаємодоповнювальнi алгоритми СУР, якi подано у виглядi, максимально пристосованому для практичних застосувань. 2010 Article Self-Consistent Renormalization as an Efficient Realization of Main Ideas of the Bogoliubov−Parasiuk R-operation / V.I. Kucheryavy // Український фізичний журнал. — 2010. — Т. 55, № 5. — С. 487-504. — Бібліогр.: 87 назв. — англ. 2071-0194 PACS 11.10.Gh http://dspace.nbuv.gov.ua/handle/123456789/56190 en Український фізичний журнал Відділення фізики і астрономії НАН України
institution Digital Library of Periodicals of National Academy of Sciences of Ukraine
collection DSpace DC
language English
topic Поля та елементарні частинки
Поля та елементарні частинки
spellingShingle Поля та елементарні частинки
Поля та елементарні частинки
Kucheryavy, V.I.
Self-Consistent Renormalization as an Efficient Realization of Main Ideas of the Bogoliubov−Parasiuk R-operation
Український фізичний журнал
description “...At the present time, the intimate connection between causality and the analytic continuation is revealed. So, it is not improbable to develop a subtraction procedure even in the most general case by the use of analytic continuation techniques.” (O.S. Parasiuk,, 1956 ). This possibility is realized explicitly and efficiently in a body of our self-consistent renormalization (SCR). The self-consistency means that all formal relations between UV-divergent Feynman amplitudes are automatically retained as well as between their regular values obtained in the framework of the SCR. Self-consistent renormalization is efficiently applicable on equal grounds both to renormalizable and nonrenormalizable theories. The SCR furnishes new means for the constructive treatment of new subjects: i) UVdivergence problems associated with symmetries, Ward identities, and quantum anomalies; ii) new relations between finite bare and finite physical parameters of quantum field theories. The aim of this paper is to expose main ideas and properties of the SCR and to describe three mutually complementary algorithms of the SCR that are presented in the form maximally suited for practical applications.
format Article
author Kucheryavy, V.I.
author_facet Kucheryavy, V.I.
author_sort Kucheryavy, V.I.
title Self-Consistent Renormalization as an Efficient Realization of Main Ideas of the Bogoliubov−Parasiuk R-operation
title_short Self-Consistent Renormalization as an Efficient Realization of Main Ideas of the Bogoliubov−Parasiuk R-operation
title_full Self-Consistent Renormalization as an Efficient Realization of Main Ideas of the Bogoliubov−Parasiuk R-operation
title_fullStr Self-Consistent Renormalization as an Efficient Realization of Main Ideas of the Bogoliubov−Parasiuk R-operation
title_full_unstemmed Self-Consistent Renormalization as an Efficient Realization of Main Ideas of the Bogoliubov−Parasiuk R-operation
title_sort self-consistent renormalization as an efficient realization of main ideas of the bogoliubov−parasiuk r-operation
publisher Відділення фізики і астрономії НАН України
publishDate 2010
topic_facet Поля та елементарні частинки
url http://dspace.nbuv.gov.ua/handle/123456789/56190
citation_txt Self-Consistent Renormalization as an Efficient Realization of Main Ideas of the Bogoliubov−Parasiuk R-operation / V.I. Kucheryavy // Український фізичний журнал. — 2010. — Т. 55, № 5. — С. 487-504. — Бібліогр.: 87 назв. — англ.
series Український фізичний журнал
work_keys_str_mv AT kucheryavyvi selfconsistentrenormalizationasanefficientrealizationofmainideasofthebogoliubovparasiukroperation
first_indexed 2025-07-05T07:25:21Z
last_indexed 2025-07-05T07:25:21Z
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fulltext SELF-CONSISTENT RENORMALIZATION AS AN EFFICIENT REALIZATION OF MAIN IDEAS SELF-CONSISTENT RENORMALIZATION AS AN EFFICIENT REALIZATION OF MAIN IDEAS OF THE BOGOLIUBOV–PARASIUK R-OPERATION V.I. KUCHERYAVY Bogolyubov Institute for Theoretical Physics, Nat. Acad. of Sci. of Ukraine (14b, Metrolohichna Str., Kyiv 03680, Ukraine; e-mail: vnkucher@ bitp. kiev. ua ) PACS 11.10.Gh c©2010 Il libro della natura é scritto in lingua matematica. Galileo Galilei, [ Il Saggiatore, 1623 ]. “...At the present time, the intimate connection between causality and the analytic continuation is revealed. So, it is not improbable to develop a subtraction procedure even in the most general case by the use of analytic continuation techniques.” O.S. Parasiuk, [ [7], p.566, the last paragraph, 1956 ]. This possibility is realized explicitly and efficiently in a body of our self-consistent renormalization (SCR). The self-consistency means that all formal relations between UV-divergent Feynman ampli- tudes are automatically retained as well as between their regular values obtained in the framework of the SCR. Self-consistent renor- malization is efficiently applicable on equal grounds both to renor- malizable and nonrenormalizable theories. The SCR furnishes new means for the constructive treatment of new subjects: i) UV- divergence problems associated with symmetries, Ward identities, and quantum anomalies; ii) new relations between finite bare and finite physical parameters of quantum field theories. The aim of this paper is to expose main ideas and properties of the SCR and to describe three mutually complementary algorithms of the SCR that are presented in the form maximally suited for practical ap- plications. 1. Introduction The keystone idea of a purely mathematical genesis of the ultraviolet (UV) divergencies of Feynman amplitudes (FAs) in quantum field theories is at the heart of the Bogoliubov–Parasiuk R-operation [1–7]. Using this idea along with related considerations of mathematicians of the 19th and 20th centuries,1 the author has developed 1 It is appropriate to pointed out here that the first regularization recipe to subtract infinities for turning a divergent integral into a convergent one had been used in Cauchy’s “extraordinary inte- gral” [9–11] and in d’Adhémar’s [12,13] and Hadamard’s [14–17] “finite part of a divergent integral”. These recipes are similar but not identical. But, in both cases, it was extended the va- lidity of the usual rules of change of a variable, integration by an universal, high-efficient, and self-consistent renormal- ization (SCR) technique which is applicable for any di- mension n = 2rn + δn, δn = 0, 1, rn ∈ {0 ∪ N+} of a space-time that is endowed by a pseudo-Euclidean (p, q) parts, and differentiation with respect to the upper limit of in- tegration to these new objects. The Cauchy’s “extraordinary integral” has been used for an efficient analytic continuation of the Γ(z)-function to some noninteger real values Re z < 0 firstly by Cauchy himself [10] in 1827, and then in the strips (−n − 1 < Re z < −n) by Saalschütz [18, 19] in 1887-1888. The term “finite part of a divergent integral” was introduced by d’Adhémar in his thesis presented at the Sorbonne Univer- sity in December 1903 and defended in April 1904 (see [ [20], p.477 ]). Referring to Hadamard’s article [14], d’Adhémar [ [13], p.371 ] writes “...Independently of each other, we understood the role of these finite parts...”. In d’Adhémar’s thesis and articles, this notion was applied to the construction of solutions of the equation for cylindrical waves [12, 13], whereas Hadamard used finite parts for the solution of the Cauchy problem for second- order equations with variable coefficients [14–16] and an arbi- trary number of independent variables [17]. On the applications of d’Adhemar’s and Hadamard’s “finite part of a divergent inte- gral” in more details, see Hadamard’s book [21]. 40 years later on, when analyzing the connections between the intuitive and logical ways of mathematical inventions, Hadamard [22] wrote: “...All mathematicians must consider themselves as logics. For example, I have been asked by what kind of guessing I thought of the device of the “finite part of a divergent integral”, which I have used for the integration of partial differential equations. Certainly, considering in itself, it looks typically like “think- ing aside”. But, in fact, for a long while my mind refused to conceive that idea until positively compelled to, I was led to it step by step as the mathematical reader will easily verify if he takes the trouble to consult my researches on the sub- ject, especially my Recherches sur les solution fondamentales et l’int’egration des ’equations lin’eaires aux d’eriv’ees partielles, 2nd Memoir, especially p.121 and so on (Annales Scientifiques de l’Ecole Normale Superieure, Vol.XXII, 1905) [16]. I could not avoid it any more than the prisoner in Poe’s tale The Pit and Pendulum could avoid the hole at the center of his cell...”, see [ [22], p.110, and p.104 or p.86 in two identical Russian trans- lations from French edition of 1959 ]. About further develop- ments see M. Riesz [23,24], F. Bureau [25], R. Courant [26], and S.G. Samko, A.A. Kilbas, and O.I. Marichev [27]. ISSN 2071-0194. Ukr. J. Phys. 2010. Vol. 55, No. 5 487 V.I. KUCHERYAVY metric gµν , where p+ q = n, and for an arbitrary topol- ogy of Feynman graphs. Algorithmically, the SCR is an efficient realization of the Bogoliubov–Parasiuk R-operation as some special analytical extension of the UV-divergent FAs in two pa- rameters ωG and νG by means of recurrence, compati- bility, and differential relations fixing a renormalization arbitrariness of the R-operation in some universal way based on the mathematical properties of FAs only. The parameters ωG and νG depend on a space-time dimen- sion n, a graph-topological invariant |C| determining a number of independent circuits of a graph G, and two FAs characteristics λL and dG. The numbers λL and dG determine the maximal degree of polynomials of the de- nominator, dden = 2λL, and the numerator, dnum = dG, respectively in the integrand. As a result, the SCR is efficiently applicable on equal grounds both to renor- malizable and nonrenormalizable theories, which is very important for quantum gravity. The self-consistency means that all formal relations between UV-divergent FAs are automatically retained, as well as between their regular values obtained in the framework of the SCR. The SCR furnishes new means for the constructive treatment of new subjects: i) UV- divergence problems associated with symmetries, Ward identities, reduction identities, and quantum anomalies; ii) new relations between finite bare and finite physical parameters of quantum field theories. The aim of this article is to expose main ideas and properties of the SCR (see Sections 2 and 3) and to de- scribe three mutually complementary algorithms of the SCR (see Sections 3–5) which are presented in the form maximally suited for practical applications. 2. The Bases and Possibilities of the SCR 2.1. The SCR is an efficient realization of the Bogoliubov-Parasiuk R-operation [1–8] which is supple- mented with recurrence, compatibility, and differential relations fixing a renormalization arbitrariness of the R- operation in some universal way based on mathemati- cal properties of Feynman amplitudes (FAs) only. In its turn, the Bogoliubov-Parasiuk approach is rested on an idea that the nature of UV-divergences is purely math- ematical and, per se, the R-operation is a constructive form of the Hahn–Banach theorem on extensions of lin- ear functionals (see, for e.g., [28–30]). 2.2. Elaborating this idea, the author [31–45] has obtained the high-efficiency realization of this renormal- ization scheme (renormscheme). In this realization: • Properties of special functions of the hypergeometric type are essentially used.2 • Combinatorics is simplified considerably. Our in- vestigations confirm the very important assertion by D.A. Slavnov [52] that the combinatorics of the R- operation is overcomplicated considerably and can be simplified essentially. • Renormalization arbitrariness of the R-operation is fixed in such a way that the basic functions (Rν0F)sj ≡ (Rν0F)sj(ω;Mε, A) of renormalized FAs obey the same recurrence relations as the basic functions Fsj ≡ Fsj(ω;Mε, A) of convergent or dimensionally regularized FAs: Mε Fs−2,j−1 −AFs,j−1 + (ω + j)Fsj = 0, Mε (Rν0F)s−2,j−1 −A (Rν0F)s,j−1+ + (ω + j) (Rν0F)sj = 0. (2.1) The explicit form of Fsj and (Rν0F)sj are given below by Eqs. (3.30)–(3.31). On the self-consistent version of the Clifford aspect of the dimensional regularization which efficiently overcomes the known difficulties con- nected with n-dimensional generalization of the Dirac γ5 matrix, see [39, 53, 54]. • Compatibility relations of the first kind: (Rν0F)sj = Fsj , if νsj := [(ν − s)/2] + j ≤ −1, (Rν+1 0 F)s+1,j = (Rν0F)sj , (2.2) and the compatibility relations of the second kind: Fs−2,j−1(ω;Mε, A) = Fs,j−1(ω;Mε, A) = = Fsj(ω − 1;Mε, A), 2 The connection of particular FAs with the hypergeometric func- tions are well known. See, for example, the investigations of analytic properties of convergent scalar FAs by using of alge- braic topology methods [46–48], or calculations of some classes of FAs for needs of phenomenological physics, by using the dif- ferential equation method [49–51]. But, in our case, this connec- tion is established for general divergent FAs in any space-time dimension n and the (p, q) pseudo-Euclidean metric, p + q = n. Apart from, this connection suggests some simple method of fix- ing a renormalization arbitrariness of the Bogoliubov–Parasiuk R-operation in some universal way based on the mathematical properties of FAs only. As a result, we obtain the self-consistent renormalization with new valuable properties and possibilities. 488 ISSN 2071-0194. Ukr. J. Phys. 2010. Vol. 55, No. 5 SELF-CONSISTENT RENORMALIZATION AS AN EFFICIENT REALIZATION OF MAIN IDEAS (Rν0F)s−2,j−1(ω;Mε, A) = (Rν0F)sj(ω − 1;Mε, A), (Rν0F)s,j−1(ω;Mε, A) = (Rν−2 0 F)sj(ω − 1;Mε, A), (2.3) are satisfied automatically. From the first of Eqs. (2.2), it follows that the formulae for regular values obtained in the framework of the SCR describe uniformly both di- vergent and convergent FAs. • Differential relations for Fsj and (Rν0F)sj with respect to mass-damping variables µl := (m2 l − iεl), l ∈ L, ∂m ∂µl1 · · · ∂µlm [ Fsj(ω) (Rν0F)sj(ω) ] = = (−1)mαl1 · · ·αlm [ Fsj(ω −m) (Rν0F)sj(ω −m) ] (2.4) are the same, and the differential relations for ones with respect to external momenta ke, e ∈ E , ∂ σ1 e1 · · · ∂ σm em [ Fsj(ω) (Rν0F)sj(ω) ] = 2m [m/2]∑ κ=0 Aσ1···σm e1 ··· em(κ)× × [ Fsj(ω −m+ κ) (Rν−2m+2κ 0 F)sj(ω −m+ κ) ] (2.5) are almost the same. Here, ∂ σiei ≡ ∂/∂(kei)σi , and Aσ1···σm e1 ··· em(κ) ≡ Aσ1···σm e1 ··· em(κ|α, k) are special homo- geneous polynomials of degree m − 2κ in Aσiei ≡ Aσiei(α, k) := ∑ e∈E Aeie(α)kσie and of degree κ in ( σiσjei ej ) := Aeiej (α)gσiσj , where Aee′(α) are matrix ele- ments of the quadratic Kirchhoff form in external mo- menta ke, e ∈ E . The polynomials Aσ1···σm e1 ··· em(κ|α, k) have an algebraic structure of quantities generated by the Wick formula, which represents a T -product ofm bo- son fields in terms of some set of N -products of m− 2κ boson fields with κ primitive contractions. Here, the quantities Aσiei and ( σiσjei ej ) play the role of boson fields and their contractions, respectively. • It is essential that Fsj and (Rν0F)sj as functions of two variables Mε and A are the homogeneous functions of the same degree ω+ j. From this, it follows that they are solutions to the same partial differential equations, namely to the Euler equation for the homogeneous func- tions[ Mε∂Mε +A∂A − (ω + j) ] [ Fsj(ω) (Rν0F)sj(ω) ] = 0, (2.6) and to some family of second-order equations emerging from Eq.(2.6), for example,[ Mε∂ 2 MεMε ± (Mε ±A)∂2 MεA ±A∂ 2 AA− −(ω + j − 1)(∂Mε ± ∂A) ] [ Fsj(ω) (Rν0F)sj(ω) ] = 0, (2.7) that can be again represented as the Euler equation[ Mε∂Mε +A∂A − (ω + j − 1) ] × × [ (∂Mε ± ∂A)Fsj(ω) (∂Mε ± ∂A) (Rν0F)sj(ω) ] = 0. (2.8) So, an important role of the quantities (∂Mε±∂A)Fsj(ω) and (∂Mε ± ∂A)(Rν0F)sj(ω) is revealed in our problem. After repeating this procedure N + 1 times, one obtains[ Mε∂Mε +A∂A − (ω + j −N − 1) ] × × [ (∂Mε ± ∂A)FN±sj (ω −N) (∂Mε ± ∂A) (Rν0F)N±sj (ω −N) ] = 0, (2.9) where we define FN±sj (ω−N) := (∂Mε±∂A)NFsj(ω) and (Rν0F)N±sj (ω−N) := (∂Mε ± ∂A)N (Rν0F)sj(ω). If N such that (ω −N + j) ≤ − 1 then both (∂Mε + ∂A)FN±sj (ω − N) = 0 and (∂Mε + ∂A)(Rν0F)N±sj (ω − N) = 0. As a result, Eq. (2.9) with the plus sign is degenerated into the identical zero, and the equation with the minus sign is reduced to the Euler–Poisson–Darboux equation[ ∂2 ∂Mε∂A + (ω + j −N − 1)/2 Mε −A ( ∂ ∂Mε − ∂ ∂A )] × × [ FN±sj (ω −N) (Rν0F)N±sj (ω −N) ] = 0. (2.10) The consistency of solutions to Eqs. (2.9)–(2.10) for dif- ferent preassigned asymptotics of (Rν0F)sj at the vicinity of A = 0 leads to the relations ∂MεFsj(ω) = −Fsj(ω − 1), ∂AFsj(ω) = Fsj(ω − 1), ∂Mε (Rν0F)sj(ω) = −(Rν0F)sj(ω − 1), ∂A(Rν0F)sj(ω) = (Rν−2 0 F)sj(ω − 1) (2.11) which are also followed from the explicit form of the basic functions Fsj and (Rν0F)sj , see Eqs. (3.30)–(3.31) below. ISSN 2071-0194. Ukr. J. Phys. 2010. Vol. 55, No. 5 489 V.I. KUCHERYAVY 2.3. Relations (2.1)–(2.11) manifest the mutual con- sistency of asymptotic properties of different terms of FAs with respect to external momenta and masses. It is precisely these recurrence, compatibility, and differential relations that are of great importance for investigating the problems of symmetries and anomalies and for turn- ing the developed renormscheme into a self-consistent one. In addition, there exist some obvious identities of the generic nature which are called as the reduction iden- tities (RIs) [40, 41], which leads in another way to the recurrence relations (2.1). The simple idea of cancelling the equal factors in factorized polynomials in a numera- tor and a denominator of integrands is used in RIs. The RIs also are of great importance for applications as an origin of new nontrivial identities. Some of them have been used essentially in our investigations [39–41, 43– 45, 55–58]. 2.4. Equations (2.1)–(2.11) and the explicit form of the basic functions Fsj , (Rν0F)sj (see Eqs. (3.30)–(3.33) and (3.36)–(3.40)) imply the following important prop- erties of the SCR: Algorithmic universality. The SCR is a special an- alytic continuation of any FA firstly given by an UV- divergent integral. In so doing, the divergence indices ν of FAs may be as large as one needs. Hereafter, this con- tinuation will be named as the regular (i.e., finite) value of a FA. As a result, the regular values of FAs respect certain recurrence, compatibility, and differential prop- erties of an universal character and have already been re- alized efficiently as convergent integrals. Therefore, the calculations of FAs corresponding to renormalizable and nonrenormalizable theories do not differ from each other in the framework of this renormscheme. Actually, the problem is reduced to calculations of the characteristic numbers, ω, νsj , and λsj determining the basic functions (Rν0F)sj . Separation of problems. The SCR clearly and effi- ciently separate the problem of evaluating the regular values of UV-divergent quantities of quantum field theo- ries from that of the relations between bare and physical parameters of these theories, i.e., the SCR realizes, in practice, this very important potential possibility of the Bogoliubov–Parasiuk R-operation. Conservation of relations. Any formal relation be- tween UV-divergent quantities will be retained also be- tween regular values of those if the regular values of all quantities involved in this relation are calculated by the same renormalization index ν (the maximum one since, otherwise, we cannot guarantee the finiteness of all terms in the relation). So, the SCR is automatically consistent with the correspondence principle. As a result, the reg- ular values obtained in the framework of the SCR do satisfy the vector and axial-vector canonical Ward iden- tities (CWIs) simultaneously. Extraction of anomalies (quantum corrections). In the SCR, owing to the analytic continuation tech- nique, quantum anomalies (i.e., quantum corrections (QCs) more exactly) are automatically accounted for in quantities satisfying the CWIs. More specifically, the quantum anomalies (i.e., QCs) reveal themselves either as the oversubtraction effect for a non-chiral case and for the chiral limit case (in these cases, the Schwinger terms contributions (STCs) of current commutators are zero) or as the nonzero STCs for the chiral case. If necessary, the explicit form of quantum anomalies (i.e., QCs) can be easily extracted as a difference between two regular values of the same UV-divergent quantity calculated for proper and improper divergence indices. 2.5. Algorithmically, the SCR is a union of three effi- cient algorithms of finding: i) the convergent α-parametric integral representations of renormalized FAs with a compact domain of integra- tion of the simplex type and with the self-consistent basic functions (Rν0F)sj , s = 0, . . . , dG, j = 0, . . . , [s/2]; ii) the homogeneous k-polynomials P G sj (m,α, k), j = 0, 1, . . . , [s/2], of degree (s − 2j) in external momenta ke, e ∈ E , being as α-parametric images of homogeneous p-polynomials P G s (m, p), s = 0, . . . , dG, of degree s in internal momenta pl, l ∈ L; iii) the α-parametric functions Δ(α), A(α, k), Yl(α, k), Xll′(α), l, l′ ∈ L. 3. Parametric Integral Representations and Basic Functions of FAs in the SCR 3.1. From the mathematical point of view, any Feynman amplitude associated with an oriented graph G, G := 〈V,L ∪ E | eil = 0, ±1, vi ∈ V, l ∈ L ∪ E〉, in which V is a set of vertices; L is a set of internal lines; E is a set of external lines; and eil is an incidence matrix (i.e., a vertex-line incidence matrix) such that eil = 0 if the line l ∈ L ∪ E is nonincident to the vertex vi ∈ V; eil = 1 if the line l ∈ L ∪ E is outgoing from the vertex vi ∈ V; eil = −1 if the line l ∈ L ∪ E is incoming to the vertex vi ∈ V, can be always represented by the integral IG(m, k)ε := cG ∞∫ −∞ (dnp)LδG(p, k) PG(m, p) QG(m, p)ε , 490 ISSN 2071-0194. Ukr. J. Phys. 2010. Vol. 55, No. 5 SELF-CONSISTENT RENORMALIZATION AS AN EFFICIENT REALIZATION OF MAIN IDEAS (dnp)L := dnp1 · · · dnp|L|, dnpl := ∏n σ=1dp σ l , l ∈ L, m := (m1, . . . ,m|L|), (3.1) p := (p1, . . . , p|L|), k := (k1, . . . , k|E|). Here, PG(m, p) and QG(m, p) are polynomials in the numerator and the denominator, PG(m, p) := ∏ vi∈V Pi(m, p) ∏ l∈L Pl(m, p) = = ∑dG s=0 P G s (m, p), (3.2) QG(m, p)ε := ∏ l∈L (µlε − p2 l ) λl , µlε := m2 l − iεl, ml ≥ 0, εl > 0, λl ∈ N+, ∀l ∈ L, δG(p, k) is a product of vertex δ-functions δG(p, k) := ∏ vi∈V δi(p, k), δi(p, k) := δ (∑ l∈L eilpl + ∑ e∈E eieke ) ; (3.3) |A| is a number of elements of some finite set A; N+ is the set of positive integers; PGs (m, p), s = 0, . . . , dG, are s-degree homogeneous polynomials in internal momenta pl, l ∈ L; Pi(m, p), and Pl(m, p) are multiplicative gen- erating polynomials of the numerator PG(m, p) that cor- respond to the vertex vi-contribution Vi(m, p, k) and to the internal line l-contribution Δl(m, p)ε, respectively: Vi(m, p, k) := Pi(m, p)δi(p, k), degpPi(m, p) =:di ≥ 0, ∀vi ∈ V, Δl(m, p)ε := Pl(m, p) (µlε − p2 l )λl , (3.4) degpPl(m, p) =:dl ≥ 0, ∀l ∈ L. The non-degenerate metric form diag gµν := ( 1, . . . , 1︸ ︷︷ ︸ p ,−1, . . . ,−1︸ ︷︷ ︸ q ), (3.5) p+ q = n = 2rn + δn, δn = 0, 1, rn ∈ {0 ∪ N+}, is used for each n-dimensional pl-integration in Eq. (3.1). 3.2. Two characteristics νG := 2ωG + dG, ωG := (n/2)|C| − λL, |C| = |L| − |V|+ 1, λL := ∑ l∈L λl, dG := dV + dL = ∑ vi∈V di + ∑ l∈L dl, (3.6) of integral (3.1) are especially important. Here, |C| is the number of independent circuits of the graph G. There exist analogous characteristics for all one-particle irre- ducible (1PI) subgraphs G ⊂ G. If νG ≥ 0 or νG ≥ 0 for some 1PI G ⊂ G, the integral is UV-divergent and a renormalization is needed [28, 30]. While Eqs. (3.1)–(3.3) are identical to the well-known representation in terms of vertex-line contributions, δG(p, k) PG(m, p) QG(m, p)ε = ∏ vi∈V Vi(m, p, k) ∏ l∈L Δl(m, p)ε, they are more suited for practical calculations. The uni- versal decomposition of PG(m, p) in terms of s-degree homogeneous p-polynomials PGs (m, p) is very useful. 3.3. We use of the Fock–Schwinger exponential α- representation (see, for example, [59–61]) along with the Hepp regularization [30] that introduces parameters rl > 0 in the vicinity of αl = 0, ∀l ∈ L, 1 (µlε − p2 l )λl = lim rl→0 ∞∫ rl dαl α λl−1 l iλl Γ(λl) e−iαl(µlε−p 2 l ), pτl = (−i∂/∂qlτ )ei(pl·ql)|ql=0, (3.7) (pl · ql) := plτqlσg τσ, 0 < rl ≤ αl ≤ ∞, ∀l ∈ L. Then the ratio of polynomials PG(m, p)/QG(m, p)ε in Eqs. (3.1)–(3.2) can be represented in the form PG(m, p) QG(m, p)ε = lim rl→0 ∀l∈L { ∫ R |L| + (r ) dvG(α) iλL× × dG∑ s=0 PGs (m,−i∂/∂qL) e−iMε + iW qL pL }∣∣∣∣ql=0 ∀l∈L , W qL pL := (pTL · αLLpL) + (pTL · qL) = (3.8) ISSN 2071-0194. Ukr. J. Phys. 2010. Vol. 55, No. 5 491 V.I. KUCHERYAVY = ∑ l∈L αlp 2 l + ∑ l∈L (pl · ql), [αLL]ll′ := αl δll′ . In Eq. (3.8), pL and qL are (|L|×n)-dimensional actual and auxiliary internal momenta column-vectors associ- ated with the set of internal lines, L, of a graph G; T is the transpose sign, so pTL is the row-vector; αLL is the |L|-dimensional diagonal matrix of α-parameters; and λL is defined in Eq.(3.6). Here, the integration mea- sure dvG(α), the integration region R |L| + (r ), and the α- parametric function Mε ≡ M(m,α)ε which is the linear form in the square of internal masses with iε-damping are defined as dvG(α) := ∏ l∈L ( dαl α λl−1 l Γ(λl) ) , R |L| + (r ) := {αl| 0 < rl ≤ αl ≤ ∞, ∀l ∈ L, }, Mε := ∑ l∈L αlµlε, µlε := (m2 l − iεl). (3.9) Now, substituting Eq. (3.8) in Eq. (3.1) and interchang- ing the order of integration in pl and αl, ∀l ∈ L, we ob- tain the very useful representation of the regularized-by- Hepp integral IG(m, k)rε . Its integrand is the (|L| × n)- dimensional pseudo-Euclidean Gaussian-like expression but in the mutually dependent variables pl,∀l ∈ L, IG(m, k)rε := cG ∫ R |L| + (r ) dvG(α)× × dG∑ s=0 PGs (m,−i∂/∂qL) ∞∫ −∞ (dnp)LδG(pL, kE) iλL× ×e−iMε + iW qL pL ∣∣∣∣ql=0 ∀l∈L . (3.10) The set of internal lines, L, can be always decom- posed (as a rule, in more than one way) into two mu- tually disjoint subsets, L = M ∪ N and M ∩ N = ∅ which determine some skeleton tree, i.e., 1-tree subgraph G(V,M∪E), with |M| = |V|−1, and the corresponding co-tree subgraph G(V,N ∪E), with |N | = |L|−|V|+1 = |C| of the graph G. Supports of all δi(pL, kE)-functions, ∀vi ∈ V, (see Eq. (3.3)) are defined by Eqs. (3.11) and are equivalent to the matrix relations given in Eqs. (3.12) and Sec. 5,∑ l∈L eilpl + ∑ e∈E eieke = 0, ∀vi ∈ V, (3.11) e{V/j}MpM + e{V/j}N pN + e{V/j}EkE = 0{V/j}, ejMpM + ejN pN + ejEkE = 0, vj – the basis vertex, pL = eLN pN + eLE(j)kE , pM = eMN pN + eME(j)kE . (3.12) Thus, the (|M| × n)-dimensional integration by means of δi(pL, kE)-functions, ∀vi ∈ V/j (this is equivalent to make use of Eqs. (3.12)), gives rise to the intermediate α-parametric representation IG(m, k)rε := δG(kE)cG ∫ R |L| + (r ) dvG(α)× × dG∑ s=0 PGs (m,−i∂/∂qL) ∞∫ −∞ (dnp)N iλL× ×e−iMε + iW qL N ,E ∣∣∣∣ql=0 ∀l∈L , (3.13) W qL N ,E := (pTN · CNN (α)pN ) + 2(fTN · pN )+ +(kTE · EEE(j|α)kE) + (qTL · eLE(j)kE), fN := ΠT EN (j|α)kE + 1 2e T LN qL, δG(kE) := δ (∑ e∈E e(v∗)eke ) . The explicit forms and some properties of the matri- ces eLN , eLE(j), CNN (α), EEE(j|α), and ΠEN (j|α) are given in Eqs. (5.1)-(5.4). The change of the variables pN by means of a nonde- generate linear transformation such that pN = BNN (α)p̃N −BNN (α)B T NN (α)fN , 492 ISSN 2071-0194. Ukr. J. Phys. 2010. Vol. 55, No. 5 SELF-CONSISTENT RENORMALIZATION AS AN EFFICIENT REALIZATION OF MAIN IDEAS B T NN (α)CNN (α)BNN (α) = 1NN , BNN (α)B T NN (α) = C−1 NN (α), detBNN (α) = [detCNN (α)]−1/2 =:Δ(α)−1/2, (dnp )N = (dnp̃ )N |detBNN (α)|n |det g| |N | = (dnp̃ )N /Δ(α)n/2, det g = (−1)q, (3.14) reduces Eqs. (3.13)–(3.14) to the form IG(m, k)rε := δG(kE)cG ∫ R |L| + (r ) dvG(α) Δn/2 × × dG∑ s=0 PGs (m,−i∂/∂qL) ∞∫ −∞ (dnp̃ )N ei(p̃ T N ·p̃N ) iλL× ×e−iMε + iW̃ qL E ∣∣∣∣ql=0 ∀l∈L , (3.15) W̃ qL E := −(fTN · C−1 NN (α)fN )+ +(kTE · EEE(j|α)kE) + (qTL · eLE(j)kE) = = (kTE ·AEE(j|α)kE)+ +(qTL · YLE(j|α)kE)− 1 4 (qTL ·XLL(α)qL). With regard for the formula ∞∫ −∞ dte±it 2 = π1/2e±iπ/4, which is followed from [62], Ch. 1.5., Eqs. (31) and (32), we find ∞∫ −∞ dnp̃le ip̃2l = πn/2ei(p−q)π/4 = πn/2i(p−n/2), ∞∫ −∞ (dnp̃ )N ei(p̃ T N ·p̃N )iλL = (πn/2ip)|N |i−ω. (3.16) So, all the integrations over n-dimensional pseudo- Euclidean momenta in the (p, q)-metric are performed. Thus, any FA (3.1) leads to the α-parametric represen- tation in the fully exponential form, IG(m, k)rε := (2π)nδG(kE)aG ∫ R |L| + (r ) dvG(α) Δn/2 × × dG∑ s=0 PGs (m,−i∂/∂qL) e−iMε + iW̃ qL E ∣∣∣∣ql=0 ∀l∈L , (3.17) W̃ qL E := (kTE ·AEE(j|α)kE)+ +(qTL · YLE(j|α)kE)− 1 4 (qTL ·XLL(α)qL), aG := cG(πn/2ip)|N |(2π)−ni−ω, |N | = |C|, where the n-dimensional auxiliary momenta, ql, l ∈ L, are still used. The explicit form and important prop- erties of matrices AEE(j|α), YLE(j|α), and XLL(α) are given in Eqs. (5.5)–(5.13). Some properties of them are new. Next, the following two operations must be car- ried out: i) to differentiate the exponential func- tion exp{i(qTL · YLE(j|α)kE) − i/4 (qTL · XLL(α)qL)} by means of the s-homogeneous differential polynomials PGs (m,−i∂/∂qL) in −i∂/∂qlσ, l ∈ L, σ ∈ {1, . . . , n}, 1 ≤ s ≤ dG; ii) to put qlσ = 0,∀l ∈ L, ∀σ ∈ {1, . . . , n}, and ∀s ∈ {0, 1, . . . , dG}. Finally, we obtain the im- portant α-parametric representation for the general FA (3.1), IG(m, k)rε := (2π)nδG(kE)bG ∫ R |L| + (r ) dvG(α)× × 1 Δn/2 dG∑ s=0 [s/2]∑ j=0 PGsj(m,α, k)i−ω−je−iMε+iA, (3.18) A ≡ A(α, k) := (kTE ·AEE(j|α)kE), bG := cG(πn/2ip)|C|(2π)−n, |C| = |N |, PGsj(m, ρα, τk) = ρ−jτs−2j PGsj(m,α, k). ISSN 2071-0194. Ukr. J. Phys. 2010. Vol. 55, No. 5 493 V.I. KUCHERYAVY Here, [s/2] means the largest integer ≤ s/2, i.e., the in- teger part of s/2; the quadratic Kirchhoff form A(α, k) in external momenta ke, e ∈ E , and the Kirchhoff deter- minant Δ(α) := detCNN (α) are defined by the topolog- ical structure of a graph G and are homogeneous func- tions of the first and |C|th degrees in α, respectively, see Sec. 5 for more details. The quantities PGsj(m,α, k) are homogeneous k-polynomials in external momenta ke, e ∈ E , of the degree s − 2j, j = 0, 1, . . . , [s/2]. They are α-parametric images of homogeneous polynomials PGs (m, p). Each monomial of PGsj(m,α, k) is a product of s − 2j linear Kirchhoff forms Yl(α, k) := ∑ e∈E Yle(α)ke and j line-correlator functions Xll′(α), l, l′ ∈ L, of a graph G. The parametric functions Yl(α, k) and Xll′(α) are homogeneous functions of the 0th and (-1)st degree in α, respectively (see Sections 4 and 5 for more details). By introducing the new variables, αl = ρα′l, ∀l ∈ L/j, αj = ρ ( 1− ∑ l∈L/jα ′ l ) , ∑ l∈L α′l = 1, ∏ l∈L dαl = ρ|L|−1dρ ∏ l∈L/j dα′l, R |L| + (r )→ R1 +(r)× Σ|L|−1, r > 0, (3.19) and assuming that rl = r > 0, ∀l ∈ L, we can perform the integration over the variable ρ, 0 < r ≤ ρ ≤ ∞ by using [63], see Ch. 6.3., eq.(3) or Ch. 6.5., Eq. (29), IG(m, k)rε := (2π)nδG(kE)bG ∫ Σ|L|−1 dµG(α) Δn/2 × × dG∑ s=0 [s/2]∑ j=0 PGsj(m,α, k)F r sj(ω;Vε), F rsj(ω;Vε) := i−ω−j ∞∫ r dρ ρ−ω−j−1e−iρ Vε = = V ω+j ε Γ(−ω − j; irVε), Vε := Mε −A, (3.20) ω := (n/2)|C| − λL, bG := cG(πn/2ip)|C|(2π)−n. Here, p involved in bG is the number of positive squares in the space-time metric gµν . The integration measure dµG(α) and the integration domain Σ|L|−1 of the simplex type are defined as dµG(α) := δ ( 1− ∑ l∈L αl )∏ l∈L ( dαl α λl−1 l Γ(λl) ) , Σ|L|−1 := {αl|αl ≥ 0, ∀l ∈ L, ∑ l∈L αl = 1}. (3.21) In Eq. (3.20), Γ(α;x) is one of the two incom- plete gamma-functions appearing in the decomposition, Γ(α) = Γ(α;x)+ γ(α;x), see [64], Ch. 9.1., Eqs. (1)–(2), such that, at Reα > 0, Γ(α; 0) = Γ(α), γ(α; 0) = 0, where Γ(α) is an ordinary gamma-function. It is worth noting that we actually have the regular- ization which combines three ones: i) the Hepp regular- ization [30], (due to a change in the region of integration over the auxiliary variable ρ); ii) the analytic regulariza- tion [80], (due to the complexification of the parameter λL, the half-degree of the denominator polynomial); iii) the dimensional regularization [39,53,54] and other suit- able references in them, (due to the complexification of the parameter n, the space-time dimension). Recall that λL and n are constituents of ω. For convergent FAs, the quantities ω + j < 0, ∀j ∈ {0, 1, . . . , [dG/2}, and there exists the limit r → 0. After passing to the limit r → 0 in Eq. (3.20), we obtain IG(m, k)ε := (2π)nδG(kE)bG ∫ Σ|L|−1 dµG(α) Δn/2 × × dG∑ s=0 [s/2]∑ j=0 PGsj(m,α, k)Fsj(ω;Mε, A), Fsj(ω;Mε, A) := i−ω−j ∞∫ 0 dρ ρ−ω−j−1e−iρ (Mε−A) = = M ω+j ε (1− Zε)ω+jΓ(−ω − j) (3.22) = M ω+j ε ∞∑ k=0 Γ(−ω − j + k) Zkε k! , Zε := A/Mε. It is easy to verify that the basic functions Fsj(ω;Mε, A) satisfy Eqs. (2.1), (2.3), (2.6)–(2.8), and (2.11). In the case of divergent FAs, for which ω + j ≥ 0 at least for one j ∈ {0, 1, . . . , [dG/2}, the limit r → 0 does 494 ISSN 2071-0194. Ukr. J. Phys. 2010. Vol. 55, No. 5 SELF-CONSISTENT RENORMALIZATION AS AN EFFICIENT REALIZATION OF MAIN IDEAS not exist. In this case, expressions (3.18)–(3.21) strictly defined in the region R|L|+ (r) := R1 +(r)×Σ|L|−1 must be made meaningful in a wider region R|L|+ := R1 +×Σ|L|−1, where R1 + := R1 +(r)|r=0. The Bogoliubov–Parasiuk subtraction procedure used for this purpose replaces IG(m, k)rε by (Rν0 I) G(m, k)ε = (2π)nδG(kE)bG× × ∫ R |L| + dvG(α)(Rν0I)G(m,α, k)ε, (3.23) (Rν0I)G(m,α, k)ε := := IG(m,α, k)ε − ν∑ β=0 1 β ! ∂ β ∂τβ IG(m,α, τk)ε  τ=0 = = 1 ν ! 1∫ 0 dτ(1− τ)ν ∂ ν+1 ∂τν+1 IG(m,α, τk)ε, (3.24) where the subtraction operations under the integral sign are performed by using the Schlömilch integro- differential formula (see the 2nd line of Eq. (3.24)) for the remainder term of Maclaurin’s series. First, this formula was applied explicitly to FAs in the Parasiuk paper [8]. Although this expression guarantees a com- pact representation of the subtraction procedure, it is, nevertheless, inconvenient for computational purposes, because it involves the additional integration and differ- entiations in the integrand. The expression in the 1st line of Eq. (3.24) is all the more inconvenient for these purposes, since every term on the right-hand side of it may be associated with a divergent integral. At the same time, the algorithm proposed and applied in [31–39] is based on the observation (see [64], Ch. 9.2., Eqs. (16, 17, 18)) that, ex − νsj∑ k=0 xk k ! = exγ̃(1 + νsj ;x), γ̃(α;x) := γ(α;x) Γ(α) , νsj∑ k=0 xk k ! = exΓ̃(1 + νsj ;x), Γ̃(α;x) := Γ(α;x) Γ(α) , γ̃(α;x) + Γ̃(α;x) = 1. (3.25) Now, if we use: the explicit form of the integrand in Eq. (3.18); the homogeneous properties for parametric functions in ke, e ∈ E , see Eqs. (5.8); the 1st line of Eq. (3.24); the 1st line of Eq. (3.25); and the relation ν∑ β=0 1 β ! ∂ β ∂τβ { τs−2jeiτ 2A } τ=0 = νsj∑ k=0 (iA)k k ! , νsj := [(ν − s)/2] + j, (3.26) we arrive at the multiplicative realization of the sub- traction procedure in the integrand of Eq. (3.23) for the regular value of the general FA (3.1), (Rν0I)G(m,α, k)ε = 1 Δn/2 × × dG∑ s=0 [s/2]∑ j=0 PGsj(m,α, k)i−ω−je−iVε γ̃(1 + νsj ; iA). (3.27) The integral in Eq. (3.23) with integrand (3.27) at ν ≥ νG is now well-defined in the domain R |L| + . The substitution of (3.27) into integral (3.23) and the change of integration variables according to Eq. (3.19) give rise to the expression (Rν0I) G(m, k)ε = (2π)nδG(k) bG ∫ Σ|L|−1 dµG(α) Δn/2 × × dG∑ s=0 [s/2]∑ j=0 PGsj(m,α, k)(Rν0F)sj(ω;Mε, A), (Rν0F)sj(ω;Mε, A) := := i−ω−j ∞∫ 0 dρ ρ−ω−j−1e−iρ(Mε−A)γ̃(1 + νsj ; iρA) = = M ω+j ε Γ(λsj) Γ(2 + νsj) Z 1+νsj ε 2F1(1, λsj ; 2 + νsj ; Zε), νsj := [(ν − s)/2] + j, λsj := −ω − j + 1 + νsj . (3.28) The integration over ρ in (3.28) is performed with the use of the formula (see [65], Ch. 17.3., Eq. (15)) ∞∫ 0 dxxµ−1e−vxγ̃(ν; a x) = ISSN 2071-0194. Ukr. J. Phys. 2010. Vol. 55, No. 5 495 V.I. KUCHERYAVY = aνΓ(µ+ ν) (a+ v)µ+νΓ(1 + ν) 2F1 ( 1, µ+ ν; 1 + ν; a a+ v ) , Re (a+ v) > 0, Re v > 0, Re (µ+ ν) > 0. 3.4. So, using the properties of special functions sub- stantially, the author has obtained [31, 32, 34, 36, 37, 39– 41, 44, 45] high-efficiency formulas which realize an an- alytical continuation (in the variables ωG and νG) of the FAs which are represented first in Eqs. (3.1)–(3.3) by UV-divergent integrals and are given finally in Eqs. (3.28)–(3.30) as convergent ones. As a result, we have the following α-parametric integral representation:[ IG(m, k)ε (Rν0I) G(m, k)ε ] = (2π)nδG(k) bG ∫ Σ|L|−1 dµG(α) Δn/2 × × dG∑ s=0 [s/2]∑ j=0 PGsj(m,α, k) [ Fsj(ω;Mε, A) (Rν0F)sj(ω;Mε, A) ] , (3.29) for the convergent or dimensionally regularized value IG(m, k)ε and for the regular value (Rν0I) G(m, k)ε of in- tegral (3.1). The subscripts 0 and superscript ν on R indicate that (Rν0I) G(m, k)ε is the regular function in a vicinity of zero values of the external momenta ke, e ∈ E , and is evaluated for an renormalization index ν = νG. The explicit forms of the basic functions Fsj(ω;Mε, A) and (Rν0F)sj(ω;Mε, A) are as follows: Fsj(ω;Mε, A) := M ω+j ε (1− Zε)ω+j Γ(−ω − j) = = M ω+j ε ∞∑ k=0 Γ(−ω − j + k) Zkε k! , Zε := A/Mε, (Rν0F)sj(ω;Mε, A) := M ω+j ε Γ(λsj)/Γ(2 + νsj)× ×Z 1+νsj ε 2F1(1, λsj ; 2 + νsj ; Zε) = = M ω+j ε ∞∑ k=1+νsj Γ(−ω − j + k) Zkε k! , (3.30) νsj := [(ν − s)/2] + j = [ω] + j + σs, λsj := −ω − j + 1 + νsj = 1− δnδ|C|/2 + σs, [ω] := rn|C|+ δnr|C| − λL, ω = [ω] + δnδ|C|/2, σs := [(δnδ|C| + d− s)/2], |C| = 2r|C| + δ|C|, ν = νG, ω = ωG, d = dG. The quantities [(ν − s)/2], [(ν + 1 − s)/2], and [ω] in Eqs. (3.28)–(3.31) are the integer parts of (ν − s)/2, (ν + 1 − s)/2, and ω, respectively. The subscripts (s, j) on Fsj and (Rν0F)sj just mean that these func- tions are attached to the homogeneous k-polynomials PGsj(α,m, k) of the degree s− 2j, j = 0, . . . , [s/2], in the external momenta ke, e ∈ E . The latter are α-images of the homogeneous p-polynomials PGs (m, p) of the de- gree s appearing in PG(m, p), see Eqs. (3.2). The k- polynomials PGsj(α,m, k) are constructed by means of the α-parametric functions Yl(α, k) and Xll′(α), l, l′ ∈ L. The efficient and universal algorithm of building PGsj(α,m, k) is presented in Sec. 4. The α-parametric functions Mε ≡M(m,α)ε and A ≡ A(α, k), incoming in Eqs. (3.30) are defined in Eqs. (3.9) and (3.18), respec- tively. The quantity M(m,α)ε is the linear form in the square of internal masses with iε-damping. The func- tions A(α, k) and Yl(α, k) are known as the quadratic and linear Kirchhoff forms in the external momenta, ke, e ∈ E . The function Δ ≡ Δ(α) is the Kirchhoff determi- nant, and the Xll′(α) are the line-correlator functions. The high-efficiency and universal algorithm of finding the α-parametric functions A(α, k), Yl(α, k), Xll′(α), and Δ(α) is given in Sec. 5. 3.5. The investigation of a complicated tangle of prob- lems associated, on the one hand, with renormalization methods and, on the other hand, with conserved and broken symmetries, the Ward identities behavior, the Schwinger terms contributions, and quantum anomalies requires finding the renormalized FAs for different di- vergence indices. For example, the amplitudes involved in the Ward identities have divergence indices νG and νG + 1. The regular values (Rν+1 0 I)G(m, k)ε calculated for the renormalization index νG + 1 once again have form of Eq. (3.29), but with another basic functions (Rν+1 0 F)sj : (Rν+1 0 F)sj := M ω+j ε Γ(λ1 sj)/Γ(2 + ν1 sj)× ×Z 1+ν1 sj ε 2F1(1, λ1 sj ; 2 + ν1 sj ; Zε), (3.31) 496 ISSN 2071-0194. Ukr. J. Phys. 2010. Vol. 55, No. 5 SELF-CONSISTENT RENORMALIZATION AS AN EFFICIENT REALIZATION OF MAIN IDEAS ν1 sj := [(ν + 1− s)/2] + j = [ω] + σ1 s + j, λ1 sj := −ω − j + 1 + ν1 sj = 1 + σ1 s − δnδ|C|/2, σ1 s := [(δnδ|C| + d+ 1− s)/2]. In general, (Rν+1 0 F)sj 6= (Rν0F)sj , as far as ν1 sj 6= νsj . The difference between them is the important quantity (Δν+1,ν) 0 F)sj := (Rν+1 0 F)sj − (Rν0F)sj = = −Θ(ν+1,ν) sj Γ(λsj) Γ(2 + νsj) M ω+j ε Z 1+νsj ε , (3.32) Θ(ν+1,ν) sj := H+(ν1 sj)θ (ν+1,ν) s , θ(ν+1,ν) s := ν1 sj − νsj = σ1 s − σs =| δν − δs |, ν = 2rν + δν , s = 2rs + δs, ν, s ∈ {0 ∪ N+}, where H+(x) is the Heaviside step function such that H+(x) = 0, x < 0, H+(x) = 1, x ≥ 0, and δν , δs := ν(mod 2), s(mod 2) = 0, 1. It is this quantity that allows one to obtain some efficient formulas for calculating the quantum corrections (QCs) (i.e., quantum anomalies) to the canonical Ward identities (CWIs) of the most gen- eral kind, for example, to those involving canonically non-conserved vector and (or) axial-vector currents for nondegenerate fermion systems (i.e., for systems with different fermion masses). Another very useful quantity that is produced by differences (Δ(ν+2,ν) 0 F)sj := (Rν+2 0 F)sj − (Rν0F)sj = =(Rν0F)s−2,j − (Rν−2 0 F)s−2,j=(Rν0F)s−2,j − (Rν0F)sj= = −H+(1 + νsj) Γ(λsj) Γ(2 + νsj) M ω+j ε Z 1+νsj ε (3.33) is closely related to (Δ(ν+1,ν) 0 F)sj . 3.6. The expressions given by Eqs. (3.28)–(3.30) have two very important properties. First, they describe both divergent and convergent FAs in the unified manner. Really, due to the prop- erties [62] Ch. 2.8, eqs.(4, 19), i.e., 2F1(α, β;α; z) = (1− z)−β and lim c→ 2−l, l=1,2,... 2F1(a, b; c; z)/Γ(c) = = (a)l−1(b)l−1 (l − 1)! zl−1 2F1(a+ l − 1, b+ l − 1; l; z), (3.34) in the case a = 1, b = λsj = −ω− j + 1− l, c = 2− l, it follows from Eqs. (3.30) and (3.34) that (Rν0F)sj = M ω+j ε Γ(−ω − j)2F1(l,−ω − j; l; Zε) = = Fsj , if νsj = − l, l ∈ N+ , (3.35) i.e., the first relation in Eqs. (2.2). Second, the basic functions (Rν0F)sj ≡ (Rν0F)sj(ω;Mε, A) of the self-consistently renor- malized FAs obey the same recurrence relations as the basic functions Fsj ≡ Fsj(ω;Mε, A) of convergent or dimensionally regularized FAs. Really, let us multiply the recurrence relation (see [62] Ch. 2.8, Eq. (42)) (c− b− 1) 2F1(a, b; c; z) + b 2F1(a, b+ 1; c; z)− −(c− 1) 2F1(a, b; c− 1; z) = 0, (3.36) between the contiguous Gauss hypergeometric functions 2F1 in the case a = 1, b = λsj , c = 2 + νsj , by the quantity M ω+j ε Z 1+νsj ε Γ(λsj)/Γ(2 + νsj). By using the relations νs−2,j−1 = νsj , λs−2,j−1(ω) = λsj(ω) + 1, and νs,j−1 = νsj − 1, λs,j−1(ω) = λsj(ω), we obtain the recurrence relations Mε (Rν0F)s−2,j−1 −A (Rν0F)s,j−1+ +(ω + j) (Rν0F)sj = 0, (3.37) between the basic functions (Rν0F)sj ≡ (Rν0F)sj(ω;Mε, A), i.e., the second relation in Eqs. (2.1). 3.7. Transformation formulae (see [62] Ch. 2.1.4, Eqs. (22) and (23)) of 2F1 give rise to the representations (Rν0F)sj = (−1)Γ(λsj)Aνsj Γ(2 + νsj)M λsj−1 ε ( Zε Zε − 1 ) × ×2F1 ( 1, ω + j + 1; 2 + νsj ; Zε Zε − 1 ) , (3.38) (Rν0F)sj = (Mε −A)ω+j Γ(λsj) Γ(2 + νsj) Z 1+νsj ε × ×2F1(1 + νsj , ω + j + 1; 2 + νsj ; Zε). (3.39) ISSN 2071-0194. Ukr. J. Phys. 2010. Vol. 55, No. 5 497 V.I. KUCHERYAVY Equation (3.38) and the behavior of 2F1(a, b; c; z) in a vicinity z → 1− determine completely the asymptotics of the basic functions (Rν0F)sj for A < 0 in a vicinity Mε → 0, i.e., the chiral limit (Rν0F)sj Mε→0' (−1)Γ(λsj − 1)Aνsj Γ(1 + νsj)M λsj−1 ε , if νsj ≥ 0 and λsj − 1 > 0; (Rν0F)sj Mε→0' (−1)Aνsj Γ(1 + νsj) ln (1−A/Mε) , (3.40) if νsj ≥ 0 and λsj − 1 = 0; (Rν0F)sj Mε→0' Γ(−ω − j)(−A)ω+j , if νsj ≥ 0 and λsj − 1 < 0 or νsj ≤ −1, which is equivalent also to the asymptotic behavior of the basic functions in the case A→ −∞, Mε 6= 0. Equations (3.30) yield four different series of values for λsj − 1: λsj − 1 = −δnδ|C|/2+ +(rd − rs) + [(δnδ|C| + δd − δs)/2], (3.41) λsj − 1 = (rd − rs)− 1/2, δnδ|C| = 1 & δs ≥ δd; = (rd − rs) + 1/2, δnδ|C| = 1 & δd > δs; = (rd − rs), δnδ|C| = 0 & δd ≥ δs; = (rd − rs)− 1, δnδ|C| = 0 & δs > δd; (3.42) d = 2rd + δd, s = 2rs + δs, δn, δ|C|, δd, δs = 0, 1. It is evident that Eq. (3.39) presents a multiplicative realization of the subtraction procedure explicitly, (Rν0F)sj := Fsj − (Sν0F)sj = = Fsj(ω;Mε, A) (Πν 0F)sj(ω;Zε), (Πν 0F)sj(ω;Zε) := (−ω − j)1+νsj Γ(2 + νsj) Z 1+νsj ε × ×2F1(1 + νsj , ω + j + 1; 2 + νsj ;Zε), (Sν0F)sj := M ω+j ε νsj∑ k=0 Γ(−ω − j + k) Zkε k! . (3.43) 4. Homogeneous k-Polynomials PG sj(m,α, k) of α-Parametric Representation of FAs 4.1. It is evident from Eq. (3.29) that the basic functions (Rν0F)sj and the homogeneous k-polynomials PGsj(m,α, k) in external momenta ke, e ∈ E , of degree s − 2j, j = 0, 1, . . . , [s/2], are two closely coupled im- portant universal ingredients of the SCR representation of FAs. The latter are α-images of the homogeneous p- polynomials PGs (m, p) in the internal momenta pl, l ∈ L, of degree s, s = 0, 1, . . . , dG, appearing in the numerator polynomial PG(m, p) (see Eqs. (3.1)–(3.2)). Each monomial of PGsj(m,α, k) is a product of s − 2j linear Kirchhoff forms Yl(α, k) := ∑ e∈E Yle(α)ke and j line-correlator functions Xll′(α), l, l′ ∈ L, of a graph G. The efficient algorithm of finding these expressions from the initial homogeneous p-polynomials PGs (m, p) in the internal momenta pl, l ∈ L, of degree s = 0, 1, . . . , dG, has been elaborated in [31–34]. It resembles Wick rela- tions between time-ordered and normal products of bo- son fields in quantum field theory. The main steps of this algorithm are as follows. • The polynomials PGs0(m,α, k) are determined as PGs0(m,α, k) := PGs (m, p)|pl=Yl(α,k), j = 0, s = 0, 1, . . . , dG, (4.1) i.e., by the straightforward substitution pl → Yl(α, k), ∀l ∈ L, in the polynomials PGs (m, p). • The polynomials PGsj(m,α, k), j = 1, . . . , [s/2], have the algebraic structure of quantities generated by the Wick formula which represents a T -product of s boson fields in terms of some set of N -products of s − 2j bo- son fields with j primitive contractions. In this case, the linear Kirchhoff forms Y σl (α, k) and their primitive correlators Y σ1 l1 · · · Y σ2 l2︸ ︷︷ ︸ := (−1/2)Xl1l2(α)gσ1σ2 ≡ ≡ (−1/2)( σ1σ2 l1 l2 ). (4.2) play a role of boson fields and contractions, respectively. 4.2. As a result, we come to the following general formulae. As far as the homogeneous p-polynomials PGs (m, p) can be always represented as PGs (m, p) = ∑ (i)∈G a(i) s (m) pσ (i) 1 l (i) 1 p σ (i) 2 l (i) 2 · · · pσ (i) s l (i) s , 498 ISSN 2071-0194. Ukr. J. Phys. 2010. Vol. 55, No. 5 SELF-CONSISTENT RENORMALIZATION AS AN EFFICIENT REALIZATION OF MAIN IDEAS l(i)a ∈ L, a = 1, . . . , s, (4.3) where the coefficients a(i) s (m) are functions of the masses ml, l ∈ L, it is sufficient to find the image of some general monomial entering into the sum over (i) ∈ G in Eq. (4.3). The calculation according to the above-mentioned Wick-type rule yields p σ (i) 1 l (i) 1 p σ (i) 2 l (i) 2 · · · pσ (i) s l (i) s → [s/2]∑ j=0 Pσ (i) 1 ··· σ (i) s (l (i) 1 ··· l (i) s );j (α, k), Pσ (i) 1 ··· σ (i) s (l (i) 1 ··· l (i) s );j (α, k) = = (−2)−j ∑ d∈(1s−2j2j) P σ (i) d(1)··· σ (i) d(s) (l (i) d(1)··· l (i) d(s));j (α, k), P σ (i) d(1)··· σ (i) d(s) (l (i) d(1)··· l (i) d(s));j (α, k) := s−2j∏ Y σ (i) d(a) l (i) d(a) (α, k)× × j∏( X l (i) d(b)l (i) d(c) (α)gσ (i) d(b)σ (i) d(c) ) , (4.4) where the summation in the second equation in (4.4) is extended over all partitions d of (l(i)1 , l (i) 2 , . . . , l (i) s ) ac- cording to the Young scheme (1s−2j2j). Then the image of homogeneous p-polynomials PGs (m, p) given by Eq. (4.3) is PGs (m, p)→ [s/2]∑ j=0 PGsj(m,α, k), PGsj(m,α, k) = ∑ (i)∈G a(i) s (m)Pσ (i) 1 ··· σ (i) s (l (i) 1 ··· l (i) s );j (α, k). (4.5) In so doing, we arrive at special j-degree homogeneous polynomials in the variables ( σ1σ2 l1 l2 ) involved in primitive correlators (see Eq. (4.2)). Polynomials of this type was introduced and named as hafnians by Caianiello [66, 67] in the course of his QED investigations. Hafnians are the counterparts of phaffians and closely connected with permanents. The simplest nontrivial hafnian ( σ1σ2σ3σ4 l1 l2 l3 l4 ) of degree 2 is given below in two last lines of Eq. (4.6). 4.3 In view of the very important applied signifi- cance of the algorithm of constructing a family of ho- mogeneous k-polynomials PGsj(m,α, k) from the initial p-polynomials PGs (m, p), we give some examples: 1→ j = 0 : 1; pσl → j = 0 : Y σl =:[ σl ]; pσ1 l1 pσ2 l2 → j = 0 : Y σ1 l1 Y σ2 l2 =: [ σ1σ2 l1 l2 ], j = 1 : (− 1 2 ){Xl1l2g σ1σ2 =: ( σ1σ2 l1 l2 )}; pσ1 l1 pσ2 l2 pσ3 l3 → j = 0 : Y σ1 l1 Y σ2 l2 Y σ3 l3 =: [σ1σ2σ3 l1 l2 l3 ], j = 1 : (− 1 2 ) { (σ1σ2 l1 l2 )[σ3 l3 ]+( σ1σ3 l1 l3 )[ σ2 l2 ] + ( σ2σ3 l2 l3 )[ σ1 l1 ] } ; pσ1 l1 pσ2 l2 pσ3 l3 pσ4 l4 → j = 0 : Y σ1 l1 Y σ2 l2 Y σ3 l3 Y σ4 l4 =: [σ1σ2σ3σ4 l1 l2 l3 l4 ], j = 1 : (− 1 2 ) { ( σ1σ2 l1 l2 )[ σ3σ4 l3 l4 ]+( σ1σ3 l1 l3 )[ σ2σ4 l2 l4 ]+( σ1σ4 l1 l4 )[ σ2σ3 l2 l3 ]+ +( σ2σ3 l2 l3 )[σ1σ4 l1 l4 ]+(σ2σ4 l2 l4 )[σ1σ3 l1 l3 ]+(σ3σ4 l3 l4 )[σ1σ2 l1 l2 ] } , j = 2 : (− 1 2 )2 { ( σ1σ2 l1 l2 )( σ3σ4 l3 l4 ) + ( σ1σ3 l1 l3 )( σ2σ4 l2 l4 )+ +( σ1σ4 l1 l4 )( σ2σ3 l2 l3 ) } =:(− 1 2 )2(σ1σ2σ3σ4 l1 l2 l3 l4 ). (4.6) 5. Parametric Functions of FAs 5.1. We now formulate an algorithm of finding the para- metric functions Δ(α), A(α, k), Yl(α, k), Xll′(α), l, l′ ∈ L, of Feynman amplitudes. Of course, it is to be men- tioned that we can use, in principle, any one of the available approaches. Contributions to this sub- ject have been made by many authors. We give a very incomplete list of quotes here, namely, the pa- pers by Chisholm [68], Nambu [69], Symanzik [70], Nakanishi [71], Schimamoto [72], Bjorken and Wu [73], Peres [74], Lam and Lebrun [75], Stepanov [76], Liu and Chow [77], Cvitanovic and Kinoshita [78], and the books by Todorov [79], Speer [80], Nakanishi [81], Zav’yalov [82], Smirnov [83], in which many other refer- ences can be found. Nevertheless, our algorithm seems to be very simple, but universal enough. It is named by the author [32, 84, 85] as circuit-path algorithm. 5.2. Suppose we have a connected graph G(V,L ∪ E) with sets of vertices, V, internal lines, L, and external lines, E , and with a certain relation of incidence be- tween V and Λ ≡ L ∪ E described by an oriented in- cidence matrix eil ≡ [eVΛ]il = 0, ±1, vi ∈ V, l ∈ Λ. ISSN 2071-0194. Ukr. J. Phys. 2010. Vol. 55, No. 5 499 V.I. KUCHERYAVY In particular, eil = 0, if line l is nonincident to the vertex vi; eil = 1, if line l is outgoing from the ver- tex vi; and eil = −1, if line l is incoming to the ver- tex vi. The fact that the set of all lines Λ is separated from the very beginning into two mutually disjoint sub- sets L and E (their incident properties are different) is very important both from the algorithmic point of view and from potential possibilities. In so doing, we need not to replace here the set of external lines (incident to some vertex) by some effective line or to assign the same orientation to all external lines, as is usually done. Therefore, we can pose the task of constructing the para- metric functions of the whole graph via the parametric functions of its subgraphs. As a result, the circuit-path approach is naturally arose, and the recursive struc- ture of the parametric functions of FAs has been ob- tained [85, 86]. 5.3. The set of external lines, E , induces the single- valued decomposition of the set of all vertices, V, into the subset of external vertices, Vext, and the subset of internal vertices, Vint. The set of internal lines, L, can be always decompose (as a rule, in more than one way) into two mutually disjoint subsets, M and N , which determine some skeleton tree and the corresponding co- tree subgraphs of the graph G. So, we have the following decomposition of the set Λ = E∪N ∪M of all lines of the graph G into mutually disjoint subsets, E , N , and M. Then the circuit-path algorithm requires the following steps: • Let us choose a subsetN ⊂ L such that the subgraph G(V,M∪ E), where M := L/N , is a skeleton-tree-type graph and the subgraph G(V,N ∪ E) is a co-tree-type graph. It is clear that this choice is ambiguous. It is shown in [84], however, that the parametric functions are independent of any choice of N . • Let us choose a vertex vj ∈ V which will be referred as a basis vertex, (or reference vertex, or zero point). It is clear that this choice is also ambiguous. But it is shown in [84], that the parametric functions are again indepen- dent of any given choice of vj . From the viewpoint of practical calculations, it seems reasonable to choose the basis vertex vj as such a vertex, to which the largest number of external lines of the graph are incident. • The choice ofN ⊂ L and the basis vertex vj uniquely defines the notions of basis circuits C(n), n ∈ N and basis paths P (j|e), e ∈ E . The basis circuit C(n) generated by the line n ∈ N is a union of the line n with the subset M(n) ⊂ M which forms a chain in M between vertices incident to the line n, i.e. C(n) := {n} ∪M(n). The orientation in the circuit C(n) is defined by the orientation of the line n ∈ N . The basis path P (j|e) generated by the line e ∈ E and the basis vertex vj is a union of the line e with the subset M(j|e) ⊂M which forms a chain inM between a vertex incident to the line e ∈ E and the basis vertex vj , i.e. P (j|e) := {e} ∪ M(j|e). The orientation in the path P (j|e) is defined by the orientation of the line e ∈ E . • By analogy with the incidence matrix eVΛ which can be referred, more precisely, as the vertex-line incidence matrix, one introduces topologically the line-circuit eΛN [77, 78, 81, 84, 85], and the line-path eΛE(j) [84, 85] incidence matrices, namely: [eΛN ]ln := { 0, l /∈ C(n), ±1, l ∈ C(n); [eΛE(j)]le := { 0, l /∈ P (j|e), ±1, l ∈ P (j|e). (5.1) Here, the plus or minus sign depends on whether the ori- entation of the line l ∈ Λ coincides or not with the orien- tation of the circuit C(n) for eΛN or the path P (j|e) for eΛE(j). As a result, the column-vector pΛ of all momenta pl, l ∈ Λ and submatrices of eΛN and eΛE(j), whose rows are associated with the partition Λ = E ∪ N ∪M, can be represented as follows [84, 85]: pΛ = pext Λ + pint Λ , pext Λ = eΛE(j)kE , pint Λ = eΛN pN ; eEE(j) = 1EE , eNE(j|N ) = 0NE , eME(j|N ) = −e−1 {V/j}Me{V/j}E ; eEN = 0EN , eNN = 1NN , eMN = −e−1 {V/j}Me{V/j}N . (5.2) From now on, kE and pN are the column-vectors of the external momenta ke, e ∈ E , and the independent in- tegration momenta pn, n ∈ N , respectively; 0AB is the |A|×|B|-rectangular matrix of zeros, and 1AA is the |A|- dimensional unit matrix. The matrices e{V/j}E , e{V/j}N , and e{V/j}M are submatrices of eVΛ. Their rows are de- fined by the set (V/vj) ⊂ V, and their columns are de- fined by the subsets E ,N ,M, respectively. The (|V|−1)- dimensional square matrix e{V/j}M is nonsingular, and det[e{V/j}M] = ±1. In submatrices of the second and 500 ISSN 2071-0194. Ukr. J. Phys. 2010. Vol. 55, No. 5 SELF-CONSISTENT RENORMALIZATION AS AN EFFICIENT REALIZATION OF MAIN IDEAS third lines of Eqs. (5.2), the subset N is pointed out ex- plicitly, because of eN ′E(j|N) 6= 0N ′E , and eM′E(j|N) 6= eME(j|N) if N ′ 6= N , L = N ∪ M = N ′ ∪ M′, but eEE(j|N ) = eEE(j|N ′) = 1EE . • There exist the following very important “orthogo- nality” relations [84, 85, 87]: eVΛeΛN = eVLeLN = 0VN , e{V/j}ΛeΛN = e{V/j}LeLN = 0{V/j}N , [eVΛeΛE(j)]ie = δij [e(V∗)E ]e, e{V/j}ΛeΛE(j) = 0{V/j}E , (5.3) where e(V∗)E is the vertex-line incidence matrix of the “star”-type graph G∗ :=< V∗, E > with the one vertex V∗ and the set of external lines E of the graph G. The graph G∗ :=< V∗, E > is a result of the shrinking of all vertices vi ∈ V, and all internal lines l ∈ L, of the graph G to the single “black-hole” vertex V∗. • By assigning the parameter αl ≥ 0 to every internal line l ∈ L, we define the circuit CNN (α), path EEE(j|α), and path-circuit ΠEN (j|α) matrices [84, 85], according to: [CNN (α)]nn′ := [eTLNαLLeLN ]nn′ = ± ∑ l∈C(n)∩C(n′) αl, [EEE(j|α)]ee′ := [eTLE(j)αLLeLE(j)]ee′ = ± ∑ l∈P (j|e)∩P (j|e′) αl, [ΠEN (j|α)]en := [eTLE(j)αLLeLN ]en = ± ∑ l∈P (j|e)∩C(n) αl. (5.4) Here, the plus or minus sign depends on the mutual ori- entations of the sets, over which the summation is per- formed, on their intersection. The plus sign corresponds to the case of coinciding orientations. It is clear that the explicit form of these matrices in any given case can be easily obtained by inspecting the graph. From now on, αLL is the diagonal |L|-dimensional matrix, i.e., [αLL]ll′ = αl δll′ . • The parametric functions are derived by means of the use of the following matrices [84, 86]: AEE(j|α) := EEE(j|α)−ΠEN (j|α)C−1 NN (α)ΠT EN (j|α), YLE(j|α) := eLE(j)− eLNC−1 NN (α)ΠT EN (j|α), XLL(α) := eLNC −1 NN (α)eTLN , Δ(α) := detCNN (α). (5.5) So, the quadratic A(α, k) and linear Yl(α, k), l ∈ L, Kirchhoff forms in the external momenta ke, e ∈ E , and the line-correlator functions Xll′(α), l, l′ ∈ L, are defined as [84, 86] A(α, k) := (kTE ·AEE(j|α)kE) = = ∑ e,e′∈E [AEE(j|α)]ee′(ke · ke′), Yl(α, k) := YlE(j|α)kE = ∑ e∈E [YlE(j|α)]eke, YlE(j|α) = elE(j)− elNC−1 NN (α)ΠT EN (j|α), Xll′(α) = elNC −1 NN (α)eTl′N . (5.6) Here, elN and elE(j) are the row-vectors of matrices (5.1)–(5.2) for the line l ∈ L. 5.4. It should be mentioned that the functions Δ(α) and A(α, k) do not depend on the orientation of inter- nal lines. However, when the orientation of line l is changed, the parametric functions Yl(α, k) and Xll′(α) reverse their signs. It is also useful to represent the quantities A(α, k) and YL(α, k) in a form exhibiting a special role of the matri- ces XLL(α) and XNN (α) [78, 84]: A(α, k) = ( pext L (k)T · [αLL − αLLXLL(α)αLL ] pext L (k) ) , pext L (k) = eLE(j)kE , pext E (k) = kE , pext N (k) = 0N , YL(α, k) = [ 1LL −XLL(α)αLL ] pext L (k) = = pext L (k)− Y int L (α, k), Y int L (α, k) := XLL(α)αLL pext L (k), XLL(α) := eLNXNN (α)eTLN , XNN (α) := C−1 NN (α), (5.7) ISSN 2071-0194. Ukr. J. Phys. 2010. Vol. 55, No. 5 501 V.I. KUCHERYAVY where kE is the column-vector of the external momenta ke, e ∈ E . The following homogeneous properties hold: Δ(ρα) = ρ |C|Δ(α), Xll′(ρα) = ρ−1Xll′(α), A(ρα, τk) = ρτ2A(α, k), Yl(ρα, τk) = τYl(α, k), PGsj(m, ρα, τk) = ρ−jτs−2j PGsj(m,α, k). (5.8) 5.5. Now we exhibit some important properties of α-parametric functions [45]. Let us introduce the quan- tities Kr LL := XLLαLL, Kl LL := αLLXLL, LiLL := 1LL −Ki LL, i = r, l. (5.9) Using Eqs. (5.3)–(5.5), we find that the matrices Ki LL(α) and LiLL(α) are projectors with the properties Ki LLK i LL = Ki LL, LiLLL i LL = LiLL, i = r, l, Ki LLL i LL = 0LL, Kl LLαLLL r LL = 0LL, (5.10) From Eqs. (5.10), we get some relations between prod- ucts of XLL, αLL, and YLE :( XLLαLL )m XLL = XLLαLLXLL = XLL, ( LrLL )m XLL = 0LL, ( XLLαLL )m YLE = XLLαLLYLE = 0LE , (5.11) ( LrLL )m YLE = YLE , Tr [( Ki LL )m] = Tr [ Ki LL ] = ∑ l∈L αlXll(α) = |N |, Tr [( LiLL )m] = Tr [ LiLL ] = |M|, i = r, l, and the relations between the quadratic A(α, k) and lin- ear Yl(α, k), l ∈ L, Kirchhoff forms: A(α, k) = (Y T L · αLLpext L ) = (pextT L · αLLYL) ≡ ≡ ∑ l∈L αl(pext l (k) · Yl(α, k)) = = (Y TL · αLLYL) ≡ ∑ l∈L αlY 2 l (α, k). (5.12) The following relations are also satisfied: eVEkE + eVLYL(α, k) = 0V , eTLNαLLYL(α, k) = 0N , eVLXLL(α) = 0VL, Kr LLeLE(j) = −eLNYNE(j|α) = eLNK r NLeLE(j), Kr LLeLN = eLN ,( Y intT L · αLLYL ) = = ( Y intT L · αLL pext L ) − ( Y intT L · αLLY int L ) = 0. (5.13) In our case of α-parametric functions, two relations in the first line of Eqs. (5.13) are analogs of the first and second Kirchhoff laws in electric networks. Similarly, in the third line of Eqs. (5.12), we find an analog of the well-known expression for a power dissipated in electric networks. The present author wishes to express his sincere thanks to the anonymous referee for the constructive re- marks and the valuable suggestions. The paper is based on the report presented at the Bogolyubov Kyiv Confer- ence “Modern Problems of Theoretical and Mathemati- cal Physics”, September 15-18, 2009, Kyiv, Ukraine. 1. N.N. Bogoliubov and O.S. Parasiuk, Dokl. AN SSSR 100, 25 (1955). 2. N.N. Bogoliubov and O.S. Parasiuk, Dokl. 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Harary, (Academic Press, New York, 1967), p. 111. Received 30.10.09 САМОУЗГОДЖЕНА РЕНОРМАЛIЗАЦIЯ ЯК ЕФЕКТИВНА РЕАЛIЗАЦIЯ ГОЛОВНИХ IДЕЙ R-ОПЕРАЦIЇ БОГОЛЮБОВА–ПАРАСЮКА В.I. Кучерявий Р е з ю м е Книга природи написана мовою математики. Галiлео Галiлей, [ Il Saggiatore, 1623 ]. “... В зв’язку з тим, що в останнiй час знайдено тi- сний зв’язок мiж причиновiстю та аналiтичнiстю, не виключена ймовiрнiсть побудови вiднiмальної операцiї навiть в самому загальному випадку методами аналiтичного продовження.” О.С. Парасюк, [ [7], с.566, останнiй абзац, 1956 ]. Цю можливiсть реалiзовано явно та ефективно засобами на- шої самоузгодженої ренормалiзацiї (СУР). Пiд самоузгодже- нiстю розумiють, що всi формальнi спiввiдношення мiж УФ- розбiжними фейнмановими амплiтудами також автоматично зберiгаються мiж їхнiми регулярними значеннями, знайдени- ми згiдно з процедурою СУР. Самоузгоджена ренормалiза- цiя з однаковою ефективнiстю застосовна як до ренормовних, так i до неренормовних теорiй. СУР має ефективнi засоби для конструктивного розгляду нових задач: а) ренормалiзацiй- них проблем, що пов’язанi з симетрiями, тотожностями Уорда та квантовими аномалiями; б) нових взаємозв’язкiв мiж скiн- ченними зародковими та скiнченними фiзичними параметра- ми квантово-польових теорiй. Наведено огляд головних iдей та властивостей СУР, а також чiтко описано три взаємодопов- нювальнi алгоритми СУР, якi подано у виглядi, максимально пристосованому для практичних застосувань. 504 ISSN 2071-0194. Ukr. J. Phys. 2010. Vol. 55, No. 5