Quanta of 10d representations #
i. Overview #
The 10d representations of the SU(5)รU(1) carry
the quantum numbers of their U(1) charges and their fluxes.
In this module we define the data structure for these quanta and properties thereof.
ii. Key results #
TenQuantais the type of quanta of 10d representations.TenQuanta.toFluxesTenis the underlyingFluxesTenof aTenQuanta.TenQuanta.toChargesis the underlying Multiset charges of aTenQuanta.TenQuanta.reduceis the reduction of aTenQuantawhich adds together all the fluxes corresponding to the same charge (i.e. representation).TenQuanta.liftChargesgiven a chargectheTenQuantawhich have chargecand no exotics or zero fluxes.TenQuanta.anomalyCoefficientis the anomaly coefficient associated with aTenQuanta.
iii. Table of contents #
- A. The definition of
TenQuanta- A.1. The map to underlying fluxes
- A.2. The map to underlying charges
- A.3. The map from charges to fluxes
- B. The reduction of a
TenQuanta- B.1. The reduced
TenQuantahas no duplicate elements - B.2. The underlying charges of the reduced
TenQuantaare the deduped charges - B.3. Membership condition on the reduced
TenQuanta - B.4. Filter of the reduced
TenQuantaby a charge - B.5. The reduction is idempotent
- B.6. Preservation of certain sums under reduction
- B.7. Reduction does nothing if no duplicate charges
- B.8. The charge map is preserved by reduction
- B.9. A fluxes in the reduced
TenQuantais a sum of fluxes in the originalTenQuanta - B.10. No exotics condition on the reduced
TenQuanta- B.10.1. Number of chiral
U - B.10.2. Number of anti-chiral
U - B.10.3. Number of chiral
Q - B.10.4. Number of anti-chiral
Q - B.10.5. Number of chiral
E - B.10.6. Number of anti-chiral
E - B.10.7. The
NoExoticscondition on the reducedTenQuanta
- B.10.1. Number of chiral
- B.11. Reduce member of
FLuxesTen.elemsNoExotics
- B.1. The reduced
- C. Decomposition of a
TenQuantainto basic fluxes- C.1. Decomposition of fluxes
- C.2. Decomposition of a
TenQuanta(with no exotics)- C.2.1. Decomposition distributes over addition
- C.2.2. Decomposition commutes with filtering charges
- C.2.3. Decomposition preserves the charge map
- C.2.4. Decomposition preserves the charges
- C.2.5. Decomposition preserves the reduction
- C.2.6. Fluxes of the decomposition of a
TenQuanta
- D. Lifting charges to
TenQuanta- D.1.
liftCharge c: multiset of ten-quanta for a finite set of chargescwith no exotics - D.2. TenQuanta in
liftCharge chave a finite set of chargesc - D.3. TenQuanta in
liftCharge chave no duplicate charges - D.4. Membership in
liftCharge ciff is reduction ofTenQuantawith given fluxes - D.5. TenQuanta in
liftCharge cdo not have zero fluxes - D.6. TenQuanta in
liftCharge chave no exotics - D.7. Membership in
liftCharge ciff have no exotics, no zero fluxes, and chargesc - D.8.
liftCharge cis preserved under a map if reduced
- D.1.
- E. Anomaly cancellation coefficients
iv. References #
A reference for the anomaly cancellation conditions is arXiv:1401.5084.
The quanta of w0d representations corresponding to a multiset of
(q, M, N) for each particle. (M, N) are defined in the FluxesFive module.
Equations
- FTheory.SU5.TenQuanta ๐ฉ = Multiset (๐ฉ ร FTheory.SU5.Fluxes)
Instances For
A.1. The map to underlying fluxes #
A.2. The map to underlying charges #
A.3. The map from charges to fluxes #
The map which takes a charge to the overall flux it
corresponds to in a TenQuanta.
Equations
- x.toChargeMap z = (Multiset.map Prod.snd (Multiset.filter (fun (p : ๐ฉ ร FTheory.SU5.Fluxes) => p.1 = z) x)).sum
Instances For
The reduce of TenQuanta is a new TenQuanta with all the fluxes
corresponding to the same charge (i.e. representation) added together.
Equations
- One or more equations did not get rendered due to their size.
Instances For
B.5. The reduction is idempotent #
B.6. Preservation of certain sums under reduction #
B.7. Reduction does nothing if no duplicate charges #
B.8. The charge map is preserved by reduction #
B.10.1. Number of chiral U #
B.10.2. Number of anti-chiral U #
B.10.3. Number of chiral Q #
B.10.4. Number of anti-chiral Q #
B.10.5. Number of chiral E #
B.10.6. Number of anti-chiral E #
B.11. Reduce member of FLuxesTen.elemsNoExotics #
C.1. Decomposition of fluxes #
The decomposition of a relevant flux into โจ1, 0โฉ, โจ1, 1โฉ and โจ1, -1โฉ .
Equations
- One or more equations did not get rendered due to their size.
Instances For
The decomposition of a TenQuanta into a TenQuanta which has the
same reduce by has fluxes {โจ1, 0โฉ, โจ1, 0โฉ, โจ1, 0โฉ} or {โจ1, 1โฉ, โจ1, -1โฉ, โจ1, 0โฉ} only.
This only works for fluxes which have no exotics or zeros.
Equations
- x.decompose = Multiset.bind x fun (p : ๐ฉ ร FTheory.SU5.Fluxes) => Multiset.map (fun (f : FTheory.SU5.Fluxes) => (p.1, f)) (FTheory.SU5.TenQuanta.decomposeFluxes p.2)
Instances For
C.2.1. Decomposition distributes over addition #
C.2.2. Decomposition commutes with filtering charges #
C.2.3. Decomposition preserves the charge map #
C.2.4. Decomposition preserves the charges #
C.2.5. Decomposition preserves the reduction #
D.1. liftCharge c: multiset of ten-quanta for a finite set of charges c with no exotics #
This is an efficient definition, we will later show that it gives the correct answer
Given a finite set of charges c the TenQuanta
which do not have exotics, duplicate charges or zero fluxes, which map down to c.
This is defined to be as efficient as possible.
Equations
- One or more equations did not get rendered due to their size.
Instances For
D.2. TenQuanta in liftCharge c have a finite set of charges c #
D.3. TenQuanta in liftCharge c have no duplicate charges #
D.4. Membership in liftCharge c iff is reduction of TenQuanta with given fluxes #
D.5. TenQuanta in liftCharge c do not have zero fluxes #
D.6. TenQuanta in liftCharge c have no exotics #
D.7. Membership in liftCharge c iff have no exotics, no zero fluxes, and charges c #
D.8. liftCharge c is preserved under a map if reduced #
E. Anomaly cancellation coefficients #
The anomaly coefficient of a TenQuanta is given by the pair of integers:
(โแตข qแตข Nแตข, 3 * โแตข qแตขยฒ Nแตข).
The first components is for the mixed U(1)-MSSM, see equation (22) of arXiv:1401.5084. The second component is for the mixed U(1)Y-U(1)-U(1) gauge anomaly, see equation (23) of arXiv:1401.5084.
Equations
- F.anomalyCoefficient = ((Multiset.map (fun (x : ๐ฉ ร FTheory.SU5.Fluxes) => x.2.N โข x.1) F).sum, 3 * (Multiset.map (fun (x : ๐ฉ ร FTheory.SU5.Fluxes) => x.2.N โข (x.1 * x.1)) F).sum)