Review on Stochastic Approach to Inflation
Abstract
:1. Introduction
2. Homogeneous Inflationary Scenarios and Slow-Roll Parameters
- Slow-Roll (SR): The field is slowly rolling down a potential with an almost constant velocity, which makes the acceleration negligible. In this case the equation of motion (3) is approximatelyThe SR parameters are much smaller than one () and can be written in terms of the potential as
- Ultra-Slow-Roll (USR): The field is moving along an exactly flat potential , which makes the acceleration relevant. In this case the equation of motion (3) isFrom (8) one can infer that the velocity of the field (and hence ) exponentially decreases, which makes some . More precisely:As we will show later on, an exponential decrease of makes the power spectrum of curvature perturbation increase.
- Both SR and USR are, at least approximately, sub-cases of Constant-Roll (CR). Here where is a constant. SR is realized when while USR when . We will not analyse further this generic case.
3. Inhomogeneities during Inflation: The ADM Formalism
- is the lapse function, which measures the rate of flow of proper time with respect to coordinate time t as one moves normally to .
- is the shift vector, which measures how much the local spatial coordinate system shifts tangential to , when moving from to along the normal direction to .
- represents the induced metric on the hypersurface , that we we will decompose as with so that the scale factor a is explicitely present.
- is the Ricci tensor of the spatial metric, and hence .
- Finally, is the extrinsic curvature (), which is defined as:
- For :
- for :
4. Linear Perturbation Theory
- Hamiltonian constraint (14).
- Momentum constraint (15).As it can be seen in (33), the momentum constraint do not have a contribution at the background level, which is logical due to the presence of spatial derivatives, which cannot appear in an exactly homogeneous and isotropic global background. However, it does have an homogeneous contribution in the perturbative sector due to the presence of a total spatial derivative, this is of crucial importance for the rest of the review.
- Evolution equation for (18).
- Evolution equation for (20).
- Evolution equation for the scalar field (21).
4.1. Long Wavelength Limit of Linear Perturbation Theory
4.1.1. Limit
- Non-local terms.As an example, let us imagine a re-scaling of the spatial coordinatesIt is easy to realize that if we rewrite in terms of the transformations parameters of (41) we get:The fact that a transformation as the one described in (55) is perfectly allowed in a FLRW universe together with (56) and the transformations rules of the perturbed metric variables of (41) immediately tell us that variables like cannot generically be neglected in the long wavelength limit even if they contain a Laplacian. In order to avoid this problem, we will only neglect terms that contain extra spatial derivatives, by extra we mean that we will neglect a term like if and only if it is compared with X, but we will not neglect it if it appear alone.
- Equations with overall spatial derivatives.A clear example is the momentum constraint of (33). Because it contains a total spatial derivative, it gives non-trivial information even in the limit, namely:The same happens with the evolution equation for (38).
4.1.2. or Linear Separate Universe Approach
- Although both the and the linear separate universe approach consider local homogeneous and isotropic universes, the limit allow some interaction between them whereas the linear separate universe approach assume that they evolve independently. Mathematically speaking, the linear separate universe approach ignore possible non-local terms and equations with overall spatial derivatives, both present in the limit.
- As a consequence, the equation of motion for differ by terms of from the equation of motion for Q in the long wavelength limit. This difference induces an extra decaying term, namely:
- The difference (77) always decays so one could think that it can be safely ignored; however, its importance strongly depends on the inflationary regime. For example, in USR we have so if we want to be precise enough when studying the long-wavelength limit of perturbation theory, we should use the limit rather than the linear separate universe approach.
- Finally, imposing the momentum constraint to be satisfied in the separate universe approach not only does not solve the difference between and , but it makes it worse.
4.2. Linear Perturbation Theory and Pbhs
5. Gradient Expansion
- (1)
- All constant time hypersurfaces are constant curvature spaces. In our case the hypersurfaces are simply Euclidean and this condition is trivially satisfied.
- (2)
5.1. in Gradient Expansion
5.2. Non-Perturbative Separate Universe Approach
6. Stochastic Approach to Inflation
6.1. Stochastic Formalism Based on the Separate Universe Approach
- (1)
- The second integral (terms multiplying the Heaviside theta) is the evolution equation for the extrinsic curvature linearized over a local FLRW patch defined by and . Once the Bunch-Davies vacuum is chosen for that patch, this term will be automatically satisfied so it can be consistently set to zero. Note that the solution of this part equalized to zero is precisely what give us the functions in (104).
- (2)
- The first two integrals, proportional to a Dirac delta, can be seen as boundary conditions and hence they will act as the initial conditions missing when using only gradient expansion.
6.1.1. Characterization of the Noises
- (1)
- We can use the system (113) where the noises are computed numerically over the stochastic local background, for example, using the algorithm described in [67].
- Pros: It describe non-linear inflationary dynamics.
- Cons: It is very difficult to solve due to the non-Markovianity of the process. Furthermore, it is only valid up to leading order in SR parameters due to the use of the separate universe approach.
- (2)
- We can use the system of (122)
- Pros: It is a Markovian process with additive noises for which even analytical solutions can be obtained (see Section VI of [65]).
- Cons: It only describes linear perturbations whenever they are approximately described by solution (119), which is not the case during some interesting regimes for PBH formation, such as a SR-USR transition where . It is then even less precise than the linear separate universe approach.
- (3)
- Finally, we can solve the MS equation over a global background at all orders in SR parameters, i.e., we can solve (45) and characterize the noises as in (114) with this solution. This can be done because, as we have already indicated, under the separate universe assumption . Once the noises are characterized in this way, we can use the stochastic system (113) and solve the dynamics.
- Pros: It is a Markovian process with additive noises able to describe the linear dynamics of the inflationary perturbations even when they are not approximately described by (119).
- Cons: It is not capable of describing any non-linear effects and it is inconsistent generically at leading order in due to the use of the separate universe approach. This inconsistency can be clearly seen in the term proportional to in (112), which in the background can be written as and not as it should be if it came from the MS equation. In fact is precisely the term that appears in the equation for (69) derived in Section 4.1.2, making it clear that this inconsistency is a consequence of the separate universe approach.
- It does not make it clear that we have used gradient expansion, and hence the problem of not using the momentum constraint that we solve in the next subsection is difficult to remark.
- Since it only works if the time variable is unperturbed, it could lead us to think that the number of e-folds N is the only allowed time variable for a stochastic formalism that describes all the scalar inhomogeneities in terms of the inflaton field. On the contrary, the derivation used in this review is valid for any time variable and makes it clear that the description of inhomogeneities in terms solely of the inflaton field is only a gauge choice.
- It does not explicitly obtains the linear equations used for the characterization of , more concretely, for example this derivation would miss the term that multiplies the Heaviside theta in (105).
6.2. Stochastic Formalism Based on Gradient Expansion
6.3. Stochastic Formalism Versus Linear Perturbation Theory
7. Conclusions
- As we have seen during the review, the stochastic formalism uses a gradient expansion for the IR part and a perturbative expansion for the UV part in such a way that the IR part, due to the large wavelength of the characteristic inhomogeneities that form this sector, can be described as a local FLRW universe. This description, that we called gradient expansion, relates the different local FLRW patches via non-local terms and the momentum constraint, and describes at all orders in SR parameters the correct dynamics of long wavelength scalar inhomogeneities. However, it presents some problems such as the extraction of the information from the momentum constraint.This is the reason why it is usually assumed that the different local FLRW universes evolve independently from each other, which is an assumption known as the separate universe approach. Under this approximation, the problem with the momentum constraint disappears (the momentum constraint itself disappears); nevertheless, we checked in Section 4.1.2 that this assumption fails to describe the correct long-wavelength dynamics of scalar perturbations generically at already in its linear limit. For this reason, the stochastic formalism commonly used presented in Section 6.1, which is based on the separate universe approach will fail to describe the non-perturbative dynamics of the scalar inhomogeneities at .A stochastic formalism that does not uses the separate universe approach can also be constructed, as we did in Section 6.2. However, this option is not without its difficulties, more concretely, it has problems when extracting the long wavelength information from the momentum constraint and when describing the scalar inhomogeneities with a gauge invariant generalization of the MS variable.
- On the other hand, the UV part of the inhomogeneities is assumed to behave perturbatively, having as a background the local FLRW background defined by the IR part. Since the UV part acts as a stochastic noise for the IR part and the IR part is necessary to characterize the UV noises, the stochastic approach to inflation is generically a non-Markovian process, meaning that the value of the noises depend on the whole history of the local patch over which they are computed.This does not represent a huge problem when solving the stochastic equations numerically; however, in order to have analytical results we need to do some other approximation that makes the process Markovian. This approximation consists of computing the stochastic noises over the global background instead of over the local one. Unfortunately, doing so is equivalent to assume that all the IR inhomogeneities are linear in perturbation theory.
- Finally, and although we have not paid too much attention to this problem, any stochastic approach that aims to describe the non-perturbative behaviour of scalar inhomogeneities at the long wavelength limit should also take into account scalar-vector and scalar-tensor interactions, which no longer decouple beyond linear perturbation theory.
Funding
Acknowledgments
Conflicts of Interest
References
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Cruces, D. Review on Stochastic Approach to Inflation. Universe 2022, 8, 334. https://doi.org/10.3390/universe8060334
Cruces D. Review on Stochastic Approach to Inflation. Universe. 2022; 8(6):334. https://doi.org/10.3390/universe8060334
Chicago/Turabian StyleCruces, Diego. 2022. "Review on Stochastic Approach to Inflation" Universe 8, no. 6: 334. https://doi.org/10.3390/universe8060334
APA StyleCruces, D. (2022). Review on Stochastic Approach to Inflation. Universe, 8(6), 334. https://doi.org/10.3390/universe8060334