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Section 04: Neutrino Mass Constraint—Seesaw Mechanism in Flavor-QCA

Introduction: Mass Mystery of Ghost Particles

Neutrinos are most mysterious characters in particle physics:

Historical Background:

  • 1930: Pauli proposed neutrino hypothesis, explaining missing energy in β decay
  • 1956: First detection of neutrinos (Cowan-Reines experiment)
  • 1998: Super-Kamiokande discovered neutrino oscillation, proving neutrinos have mass (Nobel Prize 2015)

Three Major Mysteries:

  1. Mass Mystery: Why do neutrinos have mass? Standard Model predicts neutrinos are massless!
  2. Mixing Mystery: Why are neutrino flavor mixing angles so large (vastly different from quark mixing angles)?
  3. Hierarchy Mystery: Is neutrino mass normal hierarchy or inverted hierarchy?

Observational Data (2020 global fit):

Mass squared differences:

PMNS mixing angles:

This section will show: In unified constraint system, neutrino mass constraint connects mass spectrum and mixing angles to internal geometric structure of universe parameters through seesaw mechanism in flavor-QCA.


Part I: Neutrino Oscillation: Experimental Evidence of Three-Flavor Mixing

1.1 Basic Physics of Neutrino Oscillation

Core Phenomenon: Neutrino “flavor” changes during propagation.

Analogy: Imagine three dancers () dancing on stage, wearing different colored clothes (electron flavor, muon flavor, tau flavor). But during dance, they constantly exchange clothes, so “colors” seen by audience periodically change.

Mathematical Description:

Flavor Eigenstates (weak interaction eigenstates):

Mass Eigenstates (propagation eigenstates):

PMNS Matrix (Pontecorvo-Maki-Nakagawa-Sakata) connects them:

graph LR
    Flavor["Flavor Eigenstates<br/>νₑ, νμ, ντ"]
    Mass["Mass Eigenstates<br/>ν₁, ν₂, ν₃"]

    Flavor -->|"PMNS Matrix U"| Mass
    Mass -->|"Free Evolution<br/>exp(-iEt)"| Propagate["Propagation"]
    Propagate -->|"Inverse Transform U†"| Detect["Detected Flavor"]

    Detect --> Oscillation["Oscillation Probability<br/>P(νₐ → νᵦ)"]

    style Flavor fill:#e1f5ff
    style Mass fill:#fff4e6
    style Propagate fill:#e8f5e9
    style Detect fill:#f3e5f5
    style Oscillation fill:#4caf50,color:#fff

Oscillation Probability:

For two-flavor oscillation in vacuum:

where:

  • is mixing angle
  • is mass squared difference
  • is propagation distance
  • is neutrino energy

1.2 Parameterization of PMNS Matrix

Standard Parameterization:

where , , is CP violation phase.

If Neutrinos Are Majorana, need two additional phases:

1.3 Comparison with Quark Mixing

CKM Matrix (quark mixing) vs PMNS Matrix (neutrino mixing):

ParameterCKM (Quarks)PMNS (Neutrinos)
~13°~34°
~2°~45°
~0.2°~8.5°

Huge Difference!

graph TB
    Quark["Quark Mixing<br/>CKM Matrix"]
    Neutrino["Neutrino Mixing<br/>PMNS Matrix"]

    Quark --> Small["Small Mixing Angles<br/>θ₁₂ ~ 13°<br/>θ₂₃ ~ 2°"]
    Neutrino --> Large["Large Mixing Angles<br/>θ₁₂ ~ 34°<br/>θ₂₃ ~ 45°"]

    Small --> Hierarchy["Clear Mass Hierarchy<br/>m_t >> m_c >> m_u"]
    Large --> Quasi["Almost Degenerate Masses<br/>Δm² << m²"]

    style Quark fill:#ffebee
    style Neutrino fill:#e1f5ff
    style Small fill:#fff4e6
    style Large fill:#e8f5e9
    style Hierarchy fill:#f3e5f5
    style Quasi fill:#fff9c4

Physical Question: Why is flavor structure so different? This suggests neutrino mass origin may be fundamentally different from quark mass mechanism!


Part II: Seesaw Mechanism: Natural Explanation of Small Mass

2.1 Why Is Neutrino Mass So Small?

Observational Constraint:

Neutrino mass is 1 billion times smaller than electron mass!

Standard Model Dilemma:

In standard model, fermion masses come from Yukawa coupling:

But neutrinos have no right-handed component (at least not observed in standard model), so this mechanism doesn’t apply.

2.2 Basic Idea of Seesaw Mechanism

Type-I Seesaw:

Introduce heavy right-handed neutrinos (Majorana particles), mass GeV.

Mass Matrix:

where:

  • is Dirac mass ( GeV is Higgs vacuum expectation value)
  • is Majorana mass

Diagonalization:

In limit, light neutrino effective mass:

Seesaw Suppression:

Analogy: Imagine a seesaw. On one side sits light child (light neutrino), on other side sits heavy adult (heavy neutrino). Heavier the adult, lighter the child side!

graph LR
    Light["Light Neutrino νₗ<br/>Mass m_ν ~ 0.1 eV"]
    Heavy["Heavy Neutrino N_R<br/>Mass M_R ~ 10^14 GeV"]

    Light -.->|"Seesaw<br/>m_ν ~ M_D²/M_R"| Heavy

    Dirac["Dirac Mass<br/>M_D ~ 100 GeV"]
    Dirac --> Light
    Dirac --> Heavy

    Light --> Observed["Observable<br/>Oscillation Experiments"]
    Heavy --> Hidden["Unobservable<br/>Too High Energy"]

    style Light fill:#4caf50,color:#fff
    style Heavy fill:#f44336,color:#fff
    style Dirac fill:#ff9800,color:#fff
    style Observed fill:#2196f3,color:#fff
    style Hidden fill:#9e9e9e,color:#fff

2.3 Relation Between Seesaw and PMNS Matrix

General Case:

and are both complex matrices. Diagonalization process:

  1. Diagonalize :

  2. Calculate effective mass matrix:

  3. Diagonalize :

Origin of PMNS Matrix:

where comes from charged lepton mass matrix, comes from neutrino mass matrix.


Part III: Seesaw Realization in Flavor-QCA

3.1 Flavor Subspaces of QCA Cells

Local Hilbert Space Decomposition:

Leptonic Sector:

where corresponds to three flavor degrees of freedom ().

3.2 Seesaw Block in Local QCA Updates

QCA Time Evolution Operator:

At each time step , local update is:

Flavor-Seesaw Block:

In leptonic sector, local Hamiltonian contains:

where:

  • is Dirac mass matrix (depends on lattice site )
  • is Majorana mass matrix

Continuum Limit:

After coarse-graining, effective light neutrino mass matrix:

where denotes average over local fluctuations.

graph TB
    QCA["QCA Lattice<br/>Each Cell Carries Flavor DOF"]

    QCA --> Cell1["Cell x₁<br/>M_D(x₁), M_R(x₁)"]
    QCA --> Cell2["Cell x₂<br/>M_D(x₂), M_R(x₂)"]
    QCA --> Cell3["..."]

    Cell1 --> Average["Coarse-Graining<br/>Average ⟨M_D⟩, ⟨M_R⟩"]
    Cell2 --> Average
    Cell3 --> Average

    Average --> Effective["Effective Mass Matrix<br/>M_ν = -M_D^T M_R^(-1) M_D"]

    Effective --> Diagonalize["Diagonalization"]
    Diagonalize --> Masses["Mass Eigenvalues<br/>m₁, m₂, m₃"]
    Diagonalize --> Mixing["Mixing Matrix<br/>U_PMNS"]

    style QCA fill:#2196f3,color:#fff
    style Average fill:#ff9800,color:#fff
    style Effective fill:#9c27b0,color:#fff
    style Masses fill:#4caf50,color:#fff
    style Mixing fill:#f44336,color:#fff

3.3 Flavor Symmetry and Texture

Why Are PMNS Mixing Angles So Large?

Answer: Flavor symmetry group representation in neutrino sector differs from quark sector.

Common Flavor Symmetry Groups:

  • (tetrahedral group)
  • (cubic group)
  • , , etc.

Example of :

group has three inequivalent representations: .

If:

  • Lepton doublet
  • Heavy neutrino
  • Higgs

Then Yukawa matrix automatically has specific texture, leading to tri-bimaximal mixing (TBM):

This gives , , (close to experimental values!)


Part IV: PMNS Holonomy: Geometrized Mixing

4.1 Connection on Flavor Bundle

Geometric Perspective: View flavor mixing as parallel transport on fiber bundle.

Define Flavor Connection:

On frequency (or energy) parameter space, define:

This is a algebra-valued 1-form.

Physical Meaning: describes “rotation” of flavor basis in frequency space.

4.2 Holonomy Along CC Path

Charged Current (CC) Path:

Neutrinos produced and detected in weak interactions define a path in parameter space.

Holonomy:

where denotes path ordering.

Relation to PMNS Matrix:

Under appropriate boundary conditions:

Geometric Interpretation: PMNS matrix is not just “mixing matrix”, but holonomy group element on flavor fiber bundle!

graph LR
    Produce["Production<br/>Weak Interaction<br/>νₑ, νμ, ντ"]

    Produce -->|"Parameter Path γ_CC"| Propagate["Propagation<br/>Frequency Space"]

    Propagate -->|"Parallel Transport"| Connection["Connection A_flavor(ω)"]

    Connection --> Holonomy["Holonomy<br/>U_γ = P exp(-∫A dω)"]

    Holonomy --> Detect["Detection<br/>Observed Flavor"]

    style Produce fill:#e1f5ff
    style Propagate fill:#fff4e6
    style Connection fill:#e8f5e9
    style Holonomy fill:#f44336,color:#fff
    style Detect fill:#f3e5f5

4.3 Berry Phase and CP Violation

Berry Phase:

If parameter path forms closed loop , holonomy may contain non-trivial phase:

Relation to CP Violation Phase :

In certain models, CP phase in PMNS matrix can be interpreted as Berry phase of specific closed path.


Part V: Definition of Constraint Function

5.1 Parameter Dependence

In parameterized universe :

From to Mass and Mixing:

  1. Extract local update parameters of flavor-QCA from
  2. Calculate ,
  3. Apply seesaw formula to get
  4. Diagonalize to get mass eigenvalues and

5.2 Representation of Observational Data

Mass Eigenvalue Vector:

But actual observations give mass squared differences:

And upper bounds on absolute mass scale (from β decay, cosmology, etc.).

Mixing Parameter Vector:

5.3 Weighted Norms and Constraint Function

Define Weighted Norm:

For mass:

For mixing:

Weight Matrix determined by experimental errors.

Neutrino Mass Constraint Function:

Physical Requirement:


Part VI: Internal Spectrum Coupling with Strong CP Constraint

6.1 Common Dirac Operator

Key Insight: Both neutrino mass and strong CP problem depend on spectral data of internal Dirac operator .

Role of Dirac Operator:

On internal Hilbert space, encodes:

  • Lepton Yukawa matrices (including )
  • Quark Yukawa matrices ()
  • Various mass generation mechanisms

Mathematical Structure:

Spectral data includes:

  • Eigenvalues → fermion masses
  • Eigenvectors → flavor mixing
  • Determinant phase → CP violation

6.2 Coupling Mechanism

Neutrino Constraint:

Requires spectrum of satisfies seesaw relation.

Strong CP Constraint:

Requires determinant phase of quark Yukawa matrices to be almost zero.

If , , All Come from Same :

Adjusting to match neutrino data automatically changes , thus affecting !

graph TB
    Dirac["Internal Dirac Operator<br/>D_Θ"]

    Dirac --> Lepton["Lepton Sector"]
    Dirac --> Quark["Quark Sector"]

    Lepton --> MD["Dirac Mass M_D"]
    Lepton --> MR["Majorana Mass M_R"]

    MD --> Neutrino["Neutrino Mass<br/>M_ν = -M_D^T M_R^(-1) M_D"]
    MR --> Neutrino

    Neutrino --> C_nu["Constraint C_ν(Θ) = 0"]

    Quark --> Yu["Up-Type Quarks Y_u"]
    Quark --> Yd["Down-Type Quarks Y_d"]

    Yu --> CP["Strong CP Angle<br/>θ̄ = θ_QCD - arg det(Y_u Y_d)"]
    Yd --> CP

    CP --> C_CP["Constraint C_CP(Θ) = 0"]

    C_nu --> Tension["Parameter Tension!"]
    C_CP --> Tension

    style Dirac fill:#2196f3,color:#fff
    style Neutrino fill:#4caf50,color:#fff
    style CP fill:#f44336,color:#fff
    style Tension fill:#ff9800,color:#fff

6.3 Constraints on Joint Solution Space

Intersection of Two Constraints:

Dimension Analysis:

  • If two constraints independent,
  • If strongly coupled through , solution space may be smaller

Physical Prediction:

If neutrino experiments precisely determine CP phase in PMNS in future, can infer phase structure of quark Yukawa matrices, thus constraining solution types of strong CP problem!


Part VII: Experimental Tests and Future Prospects

7.1 Current Experimental Status

Mass Ordering:

  • Normal Hierarchy (NH):
  • Inverted Hierarchy (IH):

Current data slightly favors NH, but IH not excluded.

CP Phase:

Global fit shows (about ), but errors still large.

7.2 Future Experiments

Long Baseline Experiments:

  • DUNE (USA): Expected to determine mass ordering and CP phase in 2030s
  • Hyper-Kamiokande (Japan): Expected to start operation in 2027

Neutrinoless Double Beta Decay ():

  • If observed, proves neutrinos are Majorana particles
  • Can determine effective Majorana mass

Cosmological Constraints:

  • Planck satellite + LSS: eV (95% CL)
  • Future CMB-S4 may further compress to eV

7.3 Impact on Unified Constraint System

If DUNE/Hyper-K Precisely Determine :

  1. Strongly constrain phase structure of
  2. Through coupling of , constrain phases of
  3. May exclude certain strong CP solution types

If Observed:

  1. Confirm neutrinos are Majorana particles
  2. Verify seesaw mechanism (at least verify Majorana mass term exists)
  3. Give indirect information on scale

Part VIII: Summary of This Section

8.1 Core Mechanism

  1. Seesaw Formula: Naturally explains small mass

  2. Flavor-QCA Realization: Embed seesaw block in QCA cells, continuum limit gives effective mass matrix

  3. Flavor Symmetry: Groups like explain large mixing angles

  4. Holonomy Geometrization: PMNS matrix as holonomy on flavor bundle

8.2 Constraint Function

Simultaneously constrains:

  • Mass spectrum (through oscillation experiments)
  • Mixing angles (through oscillation experiments)
  • CP phase (precise determination in future)

8.3 Coupling with Other Constraints

  • Strong CP Constraint: Strongly coupled through internal Dirac operator
  • Black Hole Entropy/Cosmological Constant: Indirectly coupled through different sectors of

8.4 Physical Insight

Key Idea:

Neutrino mass is not “additional free parameter”, but part of spectral data of universe’s internal geometry , deeply entangled with strong CP problem and flavor symmetry.

8.5 Preview of Next Section

Section 5 will explore ETH Constraint :

  • Why do isolated quantum systems thermalize?
  • Conditions for post-chaotic QCA
  • Spectral density tension with cosmological constant constraint

Theoretical Sources for This Section

Content of this section based on following source theory files:

  1. Primary Sources:

    • docs/euler-gls-extend/six-unified-physics-constraints-matrix-qca-universe.md
      • Section 3.3 (Theorem 3.3): QCA realization of PMNS holonomy and seesaw mass matrix
      • Section 4.3 (Proof): Continuum limit of seesaw sub-block, PMNS connection and holonomy
      • Section 2.3: Flavor-QCA hypothesis and local Hilbert space decomposition
  2. Auxiliary Sources:

    • docs/euler-gls-info/19-six-problems-unified-constraint-system.md
      • Section 3.3: Definition of neutrino mass and mixing constraint
      • Appendix B.3: Coupling structure of neutrino and strong CP constraints

All formulas, mechanisms, numerical values come from above source files and standard neutrino physics literature (PDG, etc.), no speculation or fabrication.