Renormalisation and Observables in Quantum Gravity Kevin Falls - - PowerPoint PPT Presentation

renormalisation and observables in quantum gravity
SMART_READER_LITE
LIVE PREVIEW

Renormalisation and Observables in Quantum Gravity Kevin Falls - - PowerPoint PPT Presentation

Renormalisation and Observables in Quantum Gravity Kevin Falls (Heidelberg) T alk at ERG 2016, ICTP , T rieste. Introduction In quantum gravity we would like to compute observables: X O e iS h O i = geometries This formal


slide-1
SLIDE 1

Renormalisation and Observables in Quantum Gravity

Kevin Falls (Heidelberg) T alk at ERG 2016, ICTP , T rieste.

slide-2
SLIDE 2

Introduction

In quantum gravity we would like to compute observables:

  • This formal expression needs to be regulated in order to obtain a

meaningful result. Then the parameters of the theory should depend on a cutoff scale such that observables are renormalisation group (RG) invariants:

hOi = X

geometries

O eiS Λ d dΛhOi = 0

slide-3
SLIDE 3

Introduction

T ypically beta functions are derived from the RG invariance of correlation functions:

  • These break diffeomorphism and re-parameterisation invariance

and as consequence beta functions depend on the gauge fixing and the parameterisation of the fields. Instead I consider the RG invariance of diffeomorphism invariant

  • bservables directly:

Λ d dΛhφa1φa2...φani = 0 Λ d dΛhOi = 0

slide-4
SLIDE 4

Beta function for Newton’s constant

One loop beta function for Newton’s constant (Weinberg ’79):

  • The beta function depends on the gauge and parameterisation (talk by A. Pereira).

Furthermore different beta functions are found if the Einstein-Hilbert or Gibbons- Hawking-York boundary term are considered. This breaks the required balance between the two terms (Gastmans, R. Kallosh, and C. T ruffin 1978; Becker and Reuter 2012; Jacobson and Satz 2014).

  • These problems are acute when we consider asymptotic safety close to two spacetime

dimensions i.e. simplest approximation that the continuum limit of Gravity can be studied.

βG = (D − 2)G − b G2 ,

S = 1 16πG ✓Z ddx√−gR + 2 Z

Σ

dD−1y√γK ◆

slide-5
SLIDE 5

Functional measure

Here I consider Einstein theory within a semi-classical regime

  • with the ellipsis denoting required boundary terms.

The functional measure should be the one obtained by canonical quantisation giving the functional integral:

  • What is the field?
  • Choice should not affect the physics.

SΛ ≈ SEH = − 1 16πG Z √g(R − 2¯ λ) + ...

Z = Z dM(φ) e−S[φ]

φA = gµν , φA = gµν , φA = √ggµν etc.

gµν = ¯ gµν + φµν , gµν = ¯ gµρ(eφ)ρ

ν

slide-6
SLIDE 6

Functional measure

The measure must be re-parameterisation invariant in order to manifestly preserve the invariance of the functional integral.

  • Involves a metric on the ‘space of geometries’ which provides the

invariant volume element. Fields are just coordinates in the space of geometries. Invariant line element:

dM(φ) = V −1

diff

Y

a

dφa (2π)1/2 p | det Cab(φ)| δl2 = Cabδφaδφb

DeWitt notation:

e.g. φa = gµν(x)

slide-7
SLIDE 7

Functional measure

Correct form of the measure can be determined by BRST invariance (Fujikawa ’83) or canonical quantisation (Fradkin and Vilkovisky ’73, T

  • ms ’87).

Use Fujikawa’s measure which agrees with T

  • ms. The metric is of

the DeWitt type:

Cabδφaδφb = µ2 32πG 1 2 Z dDx√g(gµρgνσ + gµσgνρ − gµνgρσ)δgµνδgρσ

slide-8
SLIDE 8

Where does the gauge and parameterisation dependence come from? Standard approach: Faddeev-Popov functional integral with sources

  • Fields now include ghosts and the diffeomorphisms are factored out
  • Source term breaks re-parameterisation and diffeomorphism invariance.

Effective action: Gauge and parameterisation independence only realised by going on shell or computing an

  • bservable.

Illustrative example: quantum corrections to the trajectory of a test particle (Dalvit and Mazzitelli ’97; KF 2015).

Origin of gauge and parameterisation dependence

Γ(1)

n [ ¯

ϕ] = Jn

eW [J] = Z Y

n

dϕn (2π)1/2 p |sdet Cnm(ϕ)| e−S[ϕ]+Jnϕn

Γ[ ¯ ϕ] = −W[J] + ¯ ϕnJn

e.g. ϕa = {gµν(x), ¯ ηµ(x), ηµ(x)}

slide-9
SLIDE 9

Where does the gauge and parameterisation dependence come from? Standard approach: Faddeev-Popov functional integral with sources

  • Fields now include ghosts while the diffeomorphisms are factored out
  • Source term breaks re-parameterisation and diffeomorphism invariance.

Effective action: Gauge and parameterisation independence only realised by going on shell or computing an

  • bservable.

Illustrative example: quantum corrections to the trajectory of a test particle (Dalvit and Mazzitelli ’97; KF 2015).

Origin of gauge and parameterisation dependence

Γ(1)

n [ ¯

ϕ] = Jn

eW [J] = Z Y

n

dϕn (2π)1/2 p |sdet Cnm(ϕ)| e−S[ϕ]+Jnϕn

Γ[ ¯ ϕ] = −W[J] + ¯ ϕnJn

e.g. ϕa = {gµν(x), ¯ ηµ(x), ηµ(x)}

slide-10
SLIDE 10

One-loop beta functions from the Legendre effective action effective action

  • Contribution from the action and the measure

Hessian has the form: Considering a ultra-local re-parameterisation: The coefficient of the Laplacian transforms as a metric of the space of geometries:

Γ[gµν] = S[gµν] + 1 2STr log ⇣ C−1 · S(2)⌘

S(2)

nm = cno(r2δo m Eo m) ⌘ cno∆o m

˜ cnm = δϕr δ ˜ ϕn crs δϕs δ ˜ ϕm

˜ S(2)

nm = δϕo

δ ˜ ϕn S(2)

  • p

δϕp δ ˜ ϕm + δϕo δ ˜ ϕnδ ˜ ϕm S(1)

  • Origin of gauge and parameterisation dependence
slide-11
SLIDE 11

T ypically only the super-trace

  • is regulated. Which leaves behind a divergent part:
  • However for the correct BRST measure one has

One either uses the correct measure or one has additional UV divergencies which are ignored in the effective average action approach.

1 2STr log (∆)

∼ STr log(C−1 · c) = δ(0) Z dDx str log(C−1 · c)

Cnm = cnm

Origin of gauge and parameterisation dependence

slide-12
SLIDE 12

Origin of gauge and parameterisation dependence

Standard effective average action scheme (Reuter ’96)

  • Regardless of the measure we get the same flow equation:
  • The measure is not the origin of differences in beta functions for different

parameterisations.

Γ[gµν] = S[gµν] + 1 2STr log

  • C−1 · c · (∆ + Rk(r2))
  • k∂kΓ = 1

2STr [k∂kR · (∆ + Rk)−1]

slide-13
SLIDE 13

Origin of gauge and parameterisation dependence

One-loop beta functions from the Legendre effective action effective action

  • Contribution from the action and the measure

Hessian has the form: Considering a different parameterisation: The second term is proportional to the equation of motion and is the origin

  • f parameterisation dependence.

Gauge dependence has the same origin since only the on shell hessian is guaranteed to be gauge invariant (Benedetti 2011; KF 2015) .

Γ[gµν] = S[gµν] + 1 2STr log ⇣ C−1 · S(2)⌘

S(2)

nm = cno(r2δo m Eo m) ⌘ cno∆o m

˜ S(2)

nm = δϕo

δ ˜ ϕn S(2)

  • p

δϕp δ ˜ ϕm + δϕo δ ˜ ϕnδ ˜ ϕm S(1)

slide-14
SLIDE 14

Generating function for

  • bservables

Generating function:

  • Observables obtained by taking derivatives with respect to couplings:
  • Derive RG flow from:

eW (λJ,κJ) = V −1

diff,Λ

Z Y

a

dφa (2π)1/2 q | det CΛ

ab(φ)| exp

⇢ −(λJ + δΛλ) Z dDx√g +(κJ + δΛκ) Z dDx√gR + δΛS[φ]

  • ⌧Z

dDx√g

  • = −W (1,0)(λ0, κ0) ,

⌧Z dDx√gR

  • = W (0,1)(λ0, κ0) etc.

κ0 = 1 16πG0 λ0 = ¯ λ0 8πG0

∂ ∂ΛW(λJ, κJ) = 0

slide-15
SLIDE 15

One-loop flow equation

Perturbation theory around a saddle point: Saddle point geometry dependent on the couplings:

  • Gauge and parameterisation independent
  • Last term is the contribution of Killing vector diffeomorphisms which

are left out of the vector trace (see e.g. Volkov and Wipf ’00).

φa = ¯ φa(κJ, λJ) + δφa

Rµν(¯ φ) = gµν(¯ φ) 1 D − 2 λJ κJ

−W(λJ, κJ) = SΛ[¯ φ] + 1 2Tr2 log(∆2/µ2) − Tr0

1 log ∆1/µ2 + log Ω(µ)

∆1✏µ = ✓ r2 R D ◆ ✏µ , ∆2hµν = r2hµν 2Rµ

ρ ν σhρσ .

slide-16
SLIDE 16

One-loop flow equation

Proper-time regulator implemented as a modification of the measure One-loop flow equation: Heat kernel expansion:

  • Beta function for the gravitational coupling:
  • Agrees with the previous gauge independent result (KF 2015)

Λ∂ΛSΛ = Tr2[e−∆2/Λ2] − 2Tr1[e−∆1/Λ2]

Λ∂ΛSΛ = ΛD Ng (4π)

D 2

Z dDx√g + 1 6 (Ng − 18) (4π)

D 2

ΛD−2 Z dDx√gR + ... Ng ≡ D(D − 3) 2

Number polarisations of the graviton βG = (D − 2)G − b G2 ,

b = 1 6 16π (4π)

D 2 (18 − Ng)

slide-17
SLIDE 17

Amplitudes

On spacetime manifolds with boundaries we can consider amplitudes:

  • We need to provide diffeomorphism invariant boundary conditions.

Generically there is a lack of boundary conditions in quantum gravity which are diffeomorphism invariant and lead to a well defined heat kernel. On boundaries with extrinsic curvature: Moss and Silva ’97 have found suitable boundary conditions.

hφ1|φ2i = Z[φ1, φ2]

Kij = 1 D − 1K γij , ∂iK = 0 ,

hin = 0 = ✏n ˙ ✏i − Kj

i ✏j = 0

˙ hnn + Khnn − 2Kijhij = 0 ˙ hij − Kijhnn = 0

δφa = hµν(x)

slide-18
SLIDE 18

Amplitudes

Results can be generalised to manifolds with two disjoint boundaries with the addition of the Gibbons-Hawking-York term in the action.

  • This construction requires that there is only one Newton’s constant for the bulk

and boundary terms. Saddle point boundary geometry:

eW (λJ,κJ,λΣ1

J ,λΣ2 J ) = V −1

diff,Λ

Z Y

a

dφa (2π)1/2 q det CΛ

ab(φ) exp

⇢ −(λJ + δΛλ) Z dDx√g +(κJ + δΛκ) ✓Z dDx√gR + 2 Z

Σ1

dD−1y√γK + 2 Z

Σ2

dD−1y√γK ◆ −(λΣ1

J + δΛλΣ1)

Z

Σ1

dDy√γ − (λΣ2

J + δΛλΣ2)

Z

Σ2

dDy√γ + δΛS[φ]

  • KΣ1,2 = D − 1

D − 2 λΣ1,2

J

2κJ

slide-19
SLIDE 19

Amplitudes

Results can be generalised to manifolds with two disjoint boundaries with the addition of the Gibbons-Hawking-York term in the action.

  • This construction requires that there is only one Newton’s constant for the bulk and boundary
  • terms. Otherwise the action does not have a well defined variational principle (Hawking and

Gibbons 1977) and the functional integral doesn’t have the composition properties of an amplitude (Hawking 1980). All previous calculations have found this is not possible after renormalisation. However diffeomorphism invariance has been broken either by the action or the boundary conditions (or both). Jacobson and Satz (2014) showed the balance can be achieved on shell in four dimensions. Here we preserve diffeomorphism invariance…

eW (λJ,κJ,λΣ1

J ,λΣ2 J ) = V −1

diff,Λ

Z Y

a

dφa (2π)1/2 q det CΛ

ab(φ) exp

⇢ −(λJ + δΛλ) Z dDx√g +(κJ + δΛκ) ✓Z dDx√gR + 2 Z

Σ1

dD−1y√γK + 2 Z

Σ2

dD−1y√γK ◆ −(λΣ1

J + δΛλΣ1)

Z

Σ1

dDy√γ − (λΣ2

J + δΛλΣ2)

Z

Σ2

dDy√γ + δΛS[φ]

slide-20
SLIDE 20

Amplitudes

Flow equation derived from:

  • The one loop flow equation takes the same form but now the boundary terms

are generated:

  • Bulk and boundary terms are renormalised preserving the required balance!

Universal result near two dimensions:

Λ∂ΛSΣ

Λ =

1 (4π)

D 2

Z

Σ

dD−1y√γ ✓√π 2 1 2(D − 4)(D − 3)ΛD−1 + 1 6(Ng − 18)ΛD−2 · 2 K ◆ + ...

βG = εG − 38 3 G2 ∂ ∂ΛW(λJ, κJ, λΣ1

J , λΣ2 J ) = 0

D = 2 + ε

slide-21
SLIDE 21

Summary

Gauge and parameterisation dependent beta functions come from looking at correlation functions (even if we take care of the measure). This prevents a direct physical interpretation of fixed points. We can avoid these problems by looking at observables. At one-loop three important problems are solved:

  • Gauge independence
  • Parameterisation independence
  • Bulk/boundary balance is preserved