Abstract
The definitions of scattering matrix and inclusive scattering matrix in the framework of formulation of quantum field theory in terms of associative algebras with involution are presented. The scattering matrix is expressed in terms of Green functions on shell (LSZ formula), and the inclusive scattering matrix is expressed in terms of generalized Green functions on shell. The expression for inclusive scattering matrix can be used also for quasi-particles (for elementary excitations of any translation-invariant stationary state, for example, for elementary excitations of equilibrium state). An interesting novelty is the consideration of associative algebras over real numbers.
1. Introduction
The standard algebraic approach to quantum theory is based on consideration of associative algebra with involution (algebra of observables). This algebra will be denoted by ; we assume that it has a unit. Usually, it is assumed that is an algebra over complex numbers (then the involution should be antilinear), but we consider also the case when is an algebra over real numbers. The states are defined as positive linear functionals on (one says that the functional is positive if for ). The set of states is a convex cone denoted by . Proportional states are identified; hence, instead of the cone one can consider the convex set of states obeying (the set of normalized states).
Time translation (evolution operator) acts on as involution preserving automorphism; the same is true for all other symmetries. To define particles and their scattering, we also need spatial translations; together, time and spatial translations span commutative group The time translations are denoted by and spatial translations by where . The induced transformations of the space of states are denoted by the same symbols. If we use the notation for 1
Let us consider a stationary translation-invariant state and the pre Hilbert space of the corresponding GNS (Gelfand–Naimark–Segal) representation of (see, for example, []). Recall that in this representation there exists a cyclic vector obeying . (One says that is a cyclic vector if ). The translations descend to . In complex case, the infinitesimal translations (energy and momentum operators) are defined on a dense subset of Hilbert space (of the completion of ). In a real case, they act on a dense subset of the complexification of (We use the same notation for translations in as for automorphisms of . The element A of the algebra and the corresponding operator in are also denoted by the same symbol. Notice that representing A as an operator, we should consider translation of A as a conjugation with , i.e., ).
Elements of can be regarded as excitations of
The elementary space is defined as a space of smooth fast decreasing functions on (all of their derivatives should decrease faster than any power); it is equipped with metric. (Here denotes a set consisting of m elements. We assume that is finite. This means that there exists only a finite number of types of elementary particles. In principle, this number can be infinite; for example, in non-relativistic quantum mechanics we can have an infinite number of bound states. The considerations below can be easily generalized to the case of an infinite number of types of elementary particles). We should consider real-valued functions if is an algebra over and complex-valued functions if is an algebra over It is convenient to consider the elements of as columns of m functions on The spatial translations act naturally on this space; we assume that the time translations also act on and commute with spatial translations. In momentum representation, the spatial translation is represented as multiplication by and the time translation is represented as a multiplication by a matrix We assume that is a non-degenerate Hermitian matrix.
To guarantee that time translations act in , we assume that is a smooth function of and has at most polynomial growth. If consists of complex-valued functions, then diagonalizing the matrix we can reduce the general case to the case when ; this remark was used in []. (Notice, however, that the eigenvalues of are not necessarily smooth functions of ).
An elementary excitation of is defined as an isometric map commuting with translations.
If is an algebra over , we assume that the elements of in momentum representation obey the reality condition
We show that imposing the condition of asymptotic commutativity we can define the scattering matrix and inclusive scattering matrix of elementary excitations of To analyze the properties of scattering matrix, we assume that has a cluster property. Our results are based on ideas of []. (This paper was published as Section 13.3 of [], an improved version of it was published recently in preprint form [], v2). Notice that the results of [] generalize the Haag–Ruelle theory dealing with a scattering matrix in Lorentz-invariant local quantum field theories. (See [] for an exposition of the Haag–Ruelle theory closest to our approach and [] or [] for generalization of this theory to the case when Lorentz-invariance is not assumed).
If is a -algebra over complex numbers (as in []), one can identify (quasi-local) observables with self-adjoint elements of this algebra. For every normalized state , one defines a probability distribution of the observable a corresponding to a self-adjoint element A in such a way that for every continuous function f the expectation value of is equal to One can also consider global observables corresponding to infinitesimal automorphisms of , in particular, energy and momentum corresponding to time and spatial infinitesimal translations. We can talk about joint spectrum of energy and momentum operators in (in the space of excitations of translation-invariant stationary state ). We say that is a ground state if the energy operator in is positive definite.
For algebras over real numbers, one should consider skew-adjoint elements () instead of self-adjoint elements (for algebras over complex numbers there exists an obvious one-to-one correspondence between skew- adjoint and self-adjoint elements). The definition of the probability distribution of physical quantity used in the case of complex numbers does not work; however, one can use the geometric approach to quantum theory to derive the probability distribution from decoherence [].
Elementary excitations of ground state are called particles. Elementary excitations of arbitrary translation-invariant stationary state are called quasi-particles. Quasi-particles are in general unstable; this means that the conditions in the definition of elementary excitation are satisfied only approximately. For quasi-particles, the definition of scattering matrix does not work; however, the definition of inclusive scattering matrix still makes sense.
The conventional scattering matrix makes sense only if the theory has particle interpretation (see Section 2). It is proven that non-relativistic quantum mechanics has particle interpretation (see, for example, []); however, it is quite difficult to prove this fact in other theories. The situation with inclusive scattering matrix is much better; its existence can be proven by methods of the Haag–Ruelle theory and generalizations of this theory (see Section 4).
Notice that our considerations can be applied to the scattering of elementary excitations of any translation-invariant state. In particular, they can be applied to the scattering of elementary excitations of an equilibrium state. It is important to notice that our considerations can also be applied in non-equilibrium situation. The generalized Green functions we are using coincide with functions considered in Keldysh formalism of non-equilibrium statistical physics [,,]. They also appear in the formalism of L-functionals that can be used to give a simple and transparent derivation of diagram technique for calculation of generalized Green functions in the framework of perturbation theory [,,,].
The ground state is not singled out in any way in our considerations.
The main goal of the present paper is to give an exposition of scattering theory in such a way that it can be easily compared with the definition of scattering in the geometric approach to quantum field theory [] and in the approach based on Jordan algebras []. In particular, we analyze the notion of inclusive scattering matrix; this is important for comparison with the geometric approach where there exists a very natural generalization of this notion, but it seems that the conventional scattering matrix cannot be defined. The inclusive scattering matrix was defined in [] in the formalism of L-functionals; the definition in the algebraic approach was given in [], but in less general form than in the present paper and with different proofs. See also [].
In the present paper we also consider the case when is an algebra over ; this is necessary for comparison with papers [,] where we consider both real and complex elementary spaces. There exists an opinion that complex numbers are important in the formulation of quantum mechanics. It is true that by imposing very natural axioms one can justify this opinion (see, for example, []). One of the goals of [] and the present paper is to formulate axioms that allow us to avoid using complex numbers. Notice, however, that the case of algebras over real numbers is less natural; therefore, we do not discuss in detail some constructions in this case. The reader can skip everything related to algebras over real numbers.
2. Scattering Matrix
Let us consider an algebra with involution . We assume that spatial and time translations act as automorphisms of We fix a translation-invariant stationary state ; excitations of are defined as elements of pre-Hilbert space obtained by GNS construction. The algebra acts in . In what follows, we denote the operator in corresponding to an element by the same letter. We assume that all operators we are dealing with are smooth. (We say that an operator corresponding to an element is smooth if , where ). Here, stands for the space of smooth fast decreasing functions.
The element of corresponding to is denoted by We define an elementary excitation as an isometric map of an elementary space into commuting with spatial and time translations. (Recall that an elementary space consists of smooth fast decreasing functions depending on spatial variable or on momentum variable and on discrete variable taking m values. We simultaneously consider algebras over complex and real numbers; correspondingly, the functions considered below are complex-valued or real-valued).
Let us fix m elements and m operators obeying The elements are columns of functions ; together, they can be considered as a square matrix. We assume that this matrix is invertible and commutes with the matrix governing the time translation in . If this condition is satisfied, we say that are good operators. We also require that for some
Notice that
In momentum representation,
Let us consider a collection of smooth functions decreasing faster than any power. (Using the notation for the space of smooth fast decreasing functions, we can say that ). We define an operator acting in (in the completion of ) by the formula
where denotes the inverse Fourier transform with respect to of the function
The operator depends linearly of f; it specifies a generalized vector function of that can be written in the form
where is a Fourier transform with respect to of considered as a generalized vector function.
Let us prove that does not depend on Using (1), we obtain
(We have used the fact that the matrix commutes with the matrix ).
In what follows, we denote as where f is considered as a column vector and as a square matrix.
Later, we will use this statement in the following form:
Lemma 1.
.
Where dot denotes the derivative with respect to
Definition 1.
Let us consider the function corresponding to the collection of smooth fast decreasing functions. We say that a set is an essential support of the function if for all n
where
In the case when Fourier transforms of functions have compact support, one can assume that is compact, but in general is not clear that one can find a compact set K obeying the conditions of this definition.
Let us impose the conditions of asymptotic commutativity on the operators This means that
Here n is an arbitrary integer, and is a polynomial. (The condition we have imposed can be weakened, see []).
Let us consider the vectors
where is a collection of m smooth fast decreasing functions on
We say that are not overlapping if the sets do not overlap (more precisely, we should assume that the distance between sets and is positive for ).
Lemma 2.
If do not overlap the vectors
have a limit in as tend to ; this limit will be denoted by
The set spanned by such limits will be denoted by
Let us sketch the proof of this lemma for the case when It is sufficient to check that is finite. (Here, stands for , and denotes the derivative with respect to ). The derivative is a sum of n terms; every term contains n factors, and one of these factors is a derivative. We can interchange the factors because the commutators can be neglected as ; this follows from the condition that the functions do not overlap and from the fact that for non-overlapping families, essential supports of functions and are far away for large .
We use this remark to shift the factor with the derivative to the right. It remains to apply Lemma 1.
Let us define the -operators by the formula
Lemma 2 gives conditions on f that guarantee the existence of this limit as a strong limit on the set
Let us introduce the asymptotic bosonic Fock space as a Fock representation of canonical commutation relations
where
We define the Møller matrix as a map obeying
where stands for the Fock vacuum.
Notice that spatial and time translations act naturally in The Møller matrix commutes with these translations.
Operators are defined on the image of by the formula
They are Hermitian conjugate to
One can give a direct definition of the Møller matrix by the formula
or equivalently
If do not overlap the vector
describes n distant particles as
It is convenient to require a strong cluster property (see Section 2 of []) to analyze the Møller matrix. (This condition can be weakened).
Let us make the following
Assumption 1.
The subset of the space spanned by non-overlapping families contains an open dense subset of
This assumption is not restrictive; see the discussion in Section 4.2 of [].
Using the above assumption and cluster property, one can prove the theorem below.
Theorem 1.
The Møller matrix is a well-defined isometric operator.
Notice first of all that it is not clear from our definitions that the -operators and Møller matrices are well-defined (they can depend on the choice of operators ). In other words, the operator a priori can be multivalued. However, we can prove that this operator is isometric and use the fact that an isometric operator is necessarily single-valued.
To prove that the operator preserves the inner product, we express the inner product
in terms of truncated correlation functions. We assume that both and do not overlap. Then, it follows from Definition 1 and the cluster property that only two-point correlations contribute in the limit Calculating the two-point correlation functions by means of (9), we see that is an isometry. We assumed that the vectors corresponding to families of non-overlapping functions span a dense subset of ,;hence, can be extended to an isometric embedding of the space into
Taking instead of , we obtain the definition of the Møller matrix and of -operators If Møller matrices are surjective operators, we can define the scattering matrix (S-matrix) by the formula . In this case, one says that the theory has particle interpretation.2
In other words, we can say that the theory has particle interpretation if for a dense subset of , the time evolution can be represented as a linear combination of vectors
for and of vectors
fot
This means that generically both for and for we obtain a collection of distant particles (the wave functions have distant essential supports if functions do not overlap). Without assumption that the theory has particle interpretation, we can define the scattering matrix by the formula ; however, this definition gives a unitary operator only in the case when the image of coincides with the image of
Until now, all of our considerations were applicable both to algebras over real numbers and algebras over complex numbers. In what follows, we restrict ourselves to algebras over complex numbers. Notice, however, that we can apply the considerations below to algebras over real numbers complexifying the elementary space and the pre Hilbert space . The proofs do not require any serious modifications.
Let us diagonalize the matrix ; corresponding eigenvalues are denoted by , and eigenvectors are denoted (We assume that these eigenvectors constitute an orthonormal system). In momentum representation, generalized eigenvectors vectors of time and spatial translations are We consider - and -operators corresponding to these eigenvectors as generalized functions of ; they are denoted
For example, where (Here, is considered as a square matrix). These operators can be interpreted as annihilation and creation - and - operators of particles with momentum Sometimes we omit discrete indices characterizing the type of particle in these operators. Then, the operators should be regarded as m-dimensional vectors and the values of corresponding correlation functions as elements of tensor product of m-dimensional spaces.
If we assume that the theory has particle interpretation, the Møller matrices establish unitary equivalence of with , where are operator generalized functions in corresponding to
The matrix elements of scattering matrix can be expressed in terms of - and -operators:
hence
and
where
It is easy to describe the joint spectrum of momentum and energy operators in (of infinitesimal generators of spatial and time translations). It consists of points For , we obtain the point corresponding to the vacuum vector. The points with constitute a one-particle spectrum, the points with belong to a multi-particle spectrum. If the theory has particle interpretation, the same formulas describe the joint spectrum of momentum and energy operators in
The decomposition of the spectrum in a one-particle spectrum and a multi-particle spectrum induces the decomposition of into a direct sum of one-dimensional space containing , one-particle space (the closure of the image of the map ), and a multi-particle space .
3. LSZ Formula
The scattering matrix can be expressed in terms of Green functions. These functions can be defined by the formula
where T stand for the chronological product. We defined Green functions in -representation. Taking the Fourier transform with respect to , we obtain Green functions in - representation; taking an inverse Fourier transform with respect to , we obtain Green functions in -representation. For simplicity, we are assuming that that are self-adjoint (otherwise we should consider not only , but also under the sign of T-product).
We have defined Green functions using the operators (good operators). However, one can modify this definition replacing by other operators
It is easy to calculate the two-point Green function We start with a two-point correlation function
Expressing in terms of , we obtain that in -representation
where for fixed the function has poles with respect to at the points (here are eigenvalues of the matrix )). Namely,
where
We have used the fact that the matrix can be expressed as a linear combination of exponents with matrix coefficients depending on :
Using the same fact and (7) or (9), it is easy to check that the scattering matrix can be expressed in terms of asymptotic behavior of Green functions in representation. (One should divide the arguments of the Green function in two groups; in one group, we should take the times tending to , in the second group to . The ordering of times in every group is irrelevant due to asymptotic commutativity of factors in (7)).
Equivalently, one can work in - representation taking an inverse Fourier transform with respect to in -representation. Then, the scattering matrix can be expressed in terms of poles of Green functions with respect to and residues in these poles. This is the famous LSZ formula. One can derive it from the following statements:
Let E denote a Hermitian matrix with eigenvalues . Then, the matrix can be written in the form where are constant matrices.
Let us assume there exist limits where ρ is a column vector. Then, has asymptotic behavior
as
This implies that the (inverse) Fourier transform of has poles at the points with residues
We can say that
The asymptotic behavior of is determined by the polar part of
In what follows, we use these statements in a little bit different form. We represent as where as We assume that is a summable function. Then,
where is continuous, and and do not depend on We say that the first two summands constitute the polar part of We need the following statement
If is a smooth function, then
where do not depend on ε, and is a continuous function.
Notice that in the LSZ formula, the operators transforming the vector into an element of (of one-particle space) can be replaced by asymptotically commuting smooth operators obeying a weaker condition. Namely, one should require that the projections of vectors on the one-particle space are linearly independent, and the projection of on vanishes. This can be proved if the theory has particle interpretation. (See Section 4.6 of [] for the proof of this fact in a less general case; this proof can be generalized to our setting). Instead of this condition, we can require the existence of smooth fast decreasing functions such that the operators are good operators. (This condition is always satisfied if the joint spectrum of in
Using the formula
we can express the correlation functions for operators in terms of correlation functions for operators . The expression looks very simple in -representation. For example, if , one should multiply the correlation functions of operators by the product of Fourier transforms of functions with respect to The corresponding expression for Green functions is more complicated due to factors entering the definition of the chronological product. However, in scattering theory, we are interested in asymptotic behavior of Green functions in representation or in the behavior of polar parts of Green functions in -representation. For in a dense open set, the behavior of the polar parts of Green functions for operators in representation can be described in the same way as for correlation functions. (To prove this statement we use asymptotic commutativity of operators and the assumption before Theorem 1. In the calculation of scattering matrix, we decompose the arguments of Green functions in two groups; we use the fact that due to asymptotic commutativity, the time ordering inside every group is irrelevant).
Let us give more precise formulations of the above statements.
We are starting with asymptotically commuting operators obeying We introduce the notation for projections of vectors on (on one-particle subspace of ) considered as elements of in momentum representation. We assume that these projections are linearly independent (the matrix is non-degenerate).
We consider the Green function
and their Fourier transforms (Green functions in - and - representations. Notice that due to translation invariance, the Green function in - representation contains a delta-function ; talking about two-point function (r = 2), we always omit this delta-function. (Hence, the two-point Green function is a matrix-valued function of ). We can write the two-point Green function in -representation as a sum of the polar part (having first order poles with respect to variables ) and a regular part. The polar part
governs the behavior of the Green function in -representation as ; it is a sum of two summands; one of them (-summand) is responsible for the limit , another (-summand) is responsible for the limit .
Let us consider the Green function in -representation. We assume that the arguments of this function are divided in two groups (with indices i in the interval and with indices in the interval ). We assume that the times with the indices from the first group tend to , and the remaining times tend to
In - representation, the Green function can be represented as a product of the amputated Green function and r the two-point Green functions labeled by index We change the signs of the variables where i is the index from the second group to interpret these variables as energies and momenta of outgoing particles. We define the polar part
of the Green function replacing every two-point Green function in this representation by its -summand of its polar part for indices and by -summand of the polar part for .
Let us define operators by the formula , where are smooth fast decreasing functions. Polar parts of the corresponding Green functions are denoted by
It is easy to express the projections of on one-particle space in terms of projections We obtain
where
Equivalently
To prove (12), we represent as where belongs to the multiparticle space. We obtain
The second summand lies in the multiparticle space and that for we have . This implies (12).
As we noticed, the polar part governs the asymptotic behavior in - representation. Using this fact, one can prove that is equal to the polar part of
In this formula and in what follows, we consider and as functions taking values in r-th tensor power of m-dimensional space (we consider discrete variables in and in as tensor indices).
Let us now define the normalized polar part of the Green function (closely related to the Green function on shell) by the formula
This function takes values in r-th tensor power of .
This means that normalized polar parts of the Green functions for and coincide.
Let us define the Green functions on shell taking the residues of normalized polar parts of the Green functions.
Now, we can formulate the LSZ formula in the following way:
Matrix elements of the scattering matrix coincide with the Green functions on shell (up to sign change in outgoing momenta).
Notice that the matrices entering the definition of normalized polar part are closely related to the polar part of the two-point Green function.
4. Inclusive Scattering Matrix
An element B of the algebra specifies two operators on linear functionals on . The first operator is denoted by the same symbol B; it transforms the functional into the functional The second one (denoted ) transforms into the functional The vectors in the space correspond to excitations of the state . The vector corresponds to the state Let us introduce notations
where Instead of working with vectors
we can work with corresponding states
It follows from Lemma 2 that these states have a limit as if do not overlap. These states will be necessary in a geometric approach (see []); however, they are also useful in an algebraic approach. Namely, we use these states to construct the inclusive scattering matrix.
Let us consider the state
considered as a linear functional on (as an element of the cone ). We assume that as well as are not overlapping. Then, this state has a limit as ; we denote this limit by Q. Notice that Q does not change if we permute (in the limit the operators commute). Similarly, Q does not change if we permute
More generally, we can consider a linear functional on defined as a limit of
as . (We introduced the notation ).
Then we define
as This functional is linear with respect to its arguments It is well-defined if each of four families is non-overlapping. In bra-ket notations
By definition, the functional is an inclusive scattering matrix.
To justify this definition, we notice that
We have used the relation in this derivation.
The inclusive cross section can be expressed in terms of the inclusive S-matrix defined above. To verify this statement, we consider the expectation value
where is an arbitrary state. This quantity is the probability density in momentum space for finding m outgoing particles of the types with momenta plus other unspecified outgoing particles. It gives an inclusive cross section if
The inclusive scattering matrix can be expressed in terms of the generalized Green functions (GGreen functions). These functions appear naturally in the formalism of L-functionals [,,]; their relation to inclusive cross sections is analyzed in [,,]. They also appear in Keldysh formalism and in thermo-field dynamics [,,]. GGreen functions can be defined by the formula
where T stands for the chronological product. More precisely, we defined the GGreen functions in -representation, taking the Fourier transform with respect to , we obtain the GGreen functions in - representation. Using the fact that the matrix can be expressed as a linear combination of exponents with matrix coefficients depending on , it is easy to check that the inclusive scattering matrix can be expressed in terms of asymptotic behavior of the GGreen functions in representation. (One should take and assume that for and for . The ordering of times in every group is irrelevant due to asymptotic commutativity of factors).
Equivalently, one can work in - representation taking the inverse Fourier transform with respect to in -representation. Then, the inclusive scattering matrix can be expressed in terms of poles of GGreen functions with respect to and residues in these poles.
As in the LSZ formula for a scattering matrix, we can work with operators requiring the existence of fast decreasing functions such that the operators are good operators. Using Klln–Lehmann representation of the two-point GGreen function, we define polar part and normalized polar part of the GGreen function. (We represent GGreen functions in terms of amputated GGreen functions and use the Klln-Lehmann representation of the two-point GGreen function in the proof).
5. Fermions
We assumed that operators asymptotically commute (4). One can replace this assumption with the assumption of asymptotic anticommutativity (we replace the commutator in (4) by anticommutator). Then, we should also modify the definition of truncated correlation functions including some signs.
One can repeat all considerations of the present paper in this situation. Slight modifications are necessary. In particular, instead of bosonic Fock space one should consider fermionic Fock space (Fock representation of canonical anticommutation relations). The particles obey Fermi statistics. To define an inclusive scattering matrix, we again consider states
and prove that these states have a limit as under the same conditions on It is important to notice that under these conditions it follows from the asymptotic anticommutativity of operators that the operators commute in the limit
6. BRST Formalism
Methods of homological algebra (=BRST formalism) can be applied in scattering theory. Recall that in homological algebra together with modules (algebras, etc.) one considers differential graded modules (algebras, …). It is sufficient to have -grading. A module is -graded if it is represented as a direct sum of even and odd parts. A differential can be defined as parity reversing homomorphism Q obeying Homology is defined as (as a quotient of the submodule consisting of Q-closed elements with respect to the submodule consisting of Q-exact elements).
The main idea is to replace a module by a simpler (for example, free) differential graded module. (The new module should be quasi-isomorphic to the original module, considered as a differential module with trivial grading and trivial differential. Quasi-isomorphism is defined as a homomorphism commuting with the differential and inducing an isomorphism on homology).
The above considerations can be applied to differential - graded algebras (algebras with parity reversing BRST operator Q obeying ) All physical quantities should be BRST-closed (should belong to the kernel of Q); one should neglect the BRST-exact quantities (the elements of the image of Q). The BRST-operator on algebra should satisfy the graded Leibniz rule: (plus sign if A is even, minus sign if A is odd. If algebra is realized by operators in a differential -module with differential , then the differential Q on algebra is defined as supercommutator with , i.e., if A is even and if A is odd.
Instead of Hilbert spaces, one can consider differential modules equipped with a structure of pseudo Hilbert space (space with non-degenerate, but indefinite scalar product). However, the indefinite scalar product should descend to a definite scalar product on homology.
These ideas are widely used in gauge theories and in string theory.
The Gelfand–Naimark–Segal (GNS) construction can be generalized to the case when an algebra is not equipped with involution. In this generalization, we start with a unital associative algebra and a linear functional on Then, we can introduce a (not necessarily symmetric) scalar product on by the formula ). We are saying that is a right null vector if for every It is easy to check that right null vectors constitute a left ideal in . Factorizing with respect to this ideal, we obtain a right -module denoted by Similarly factorizing with respect to left null vectors, we obtain a left -module denoted by It is easy to define a pairing between L and R; this paring is non-degenerate. If the algebra is equipped with involution, we can consider an induced involution on the space of linear functionals; we assume that the functional is self-adjoint. Then, R is a complex conjugate to L, and the pairing between L and R can be interpreted as (in general indefinite) a scalar product in L. If is a positive functional, we come back to the GNS construction.
Let us now suppose is a differential algebra with differential Q. This differential specifies a differential on the space of linear functionals denoted by the same symbol. We assume that (the functional ω is Q-closed). This assumption implies that the ideals we constructed are Q-invariant; hence, the differential Q descends to the -modules R and L. The pairing between differential modules R and L respects the differential
We will work with differential algebra equipped with involution that agrees with the differential. We assume that time translations and spatial translations act as automorphisms of and commute with the differential We fix a translation-invariant stationary self-adjoint Q-closed linear functional that descends to a positive functional on homology of . Applying the modification of GNS construction to , we obtain a differential pseudo pre-Hilbert space with the differential (BRST operator) denoted .
We modify the definition of elementary space saying that a differential vector space is an elementary space in the new sense if its homology can be identified with elementary space in the old sense. An elementary excitation of is defined as a linear map of in commuting with space-time translations and differentials (BRST operators).
We can repeat with minor modifications the construction of Møller matrices and scattering matrices in a new situation. In particular, a scattering matrix can be defined as an operator in Fock space corresponding to the space . The operator commutes with the BRST operator; hence, it descends to homology giving the scattering matrix S of physical (quasi)particles. (The operator S acts in the Fock space corresponding to the space ).
Funding
This research received no external funding.
Data Availability Statement
Not applicable.
Acknowledgments
I am indebted to A. Kapustin for valuable discussions.
Conflicts of Interest
The author declares no conflict of interest.
Notes
1 | The spatial and time translations are naturally defined for a theory in -dimensional flat space-time. Notice that we do not assume that we consider such a a theory. For example we can consider a theory on -dimensional anti de Sitter space; the symmetry group of this space has a -dimensional commutative subgroup that can be interpreted as a group of time and spatial translations. In string field theory we can interpret time and spatial translations as transformations of the target. |
2 | It is possible that the “elementary space” does not describe all particles existing in the theory (for example, we are missing some composite particles). In this case we have a chance to get a theory with particle interpretation extending the space |
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