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Physlib.Particles.NeutrinoPhysics.Basic

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definition

Diagonal phase matrix diag(eiθ0,eiθ1,eiθ2)\text{diag}(e^{i\theta_0}, e^{i\theta_1}, e^{i\theta_2})

#diagPhase

Given a function θ:{0,1,2}R\theta: \{0, 1, 2\} \to \mathbb{R} that maps each index to a real-valued phase, `diagPhase` defines a 3×33 \times 3 diagonal complex matrix. For any indices i,j{0,1,2}i, j \in \{0, 1, 2\}, the entry of the matrix is given by eiθie^{i \theta_i} if i=ji = j, and is 00 if iji \neq j.

theorem

diagPhase(0)=I\text{diagPhase}(0) = I

#diagPhase_zero

The diagonal phase matrix diag(eiθ0,eiθ1,eiθ2)\text{diag}(e^{i\theta_0}, e^{i\theta_1}, e^{i\theta_2}) is equal to the identity matrix when all the phases θj\theta_j are zero.

theorem

diagPhase(0)\text{diagPhase}(0) equals the diagonal matrix with all zero phases

#diagPhase_zero_eq

Let diagPhase(θ)\text{diagPhase}(\theta) be the 3×33 \times 3 diagonal complex matrix defined by a phase function θ:{0,1,2}R\theta: \{0, 1, 2\} \to \mathbb{R}, where the diagonal entries are given by eiθje^{i\theta_j} for j{0,1,2}j \in \{0, 1, 2\}. The matrix diagPhase(0)\text{diagPhase}(0), where 00 is the zero element of the function space, is equal to the matrix diagPhase(θ)\text{diagPhase}(\theta) where θ\theta is the constant function θ(j)=0\theta(j) = 0 for all jj.

theorem

(diagPhase θ)=diagPhase (θ)(\text{diagPhase } \theta)^\dagger = \text{diagPhase } (-\theta)

#diagPhase_star

For any function θ:{0,1,2}R\theta: \{0, 1, 2\} \to \mathbb{R} representing a set of three real phases, the Hermitian conjugate (conjugate transpose) of the diagonal phase matrix diag(eiθ0,eiθ1,eiθ2)\text{diag}(e^{i\theta_0}, e^{i\theta_1}, e^{i\theta_2}) is equal to the diagonal phase matrix with negated phases, diag(eiθ0,eiθ1,eiθ2)\text{diag}(e^{-i\theta_0}, e^{-i\theta_1}, e^{-i\theta_2}). That is, (diagPhase θ)=diagPhase (θ)(\text{diagPhase } \theta)^\dagger = \text{diagPhase } (-\theta).

theorem

diagPhase(θ)diagPhase(ϕ)=diagPhase(θ+ϕ)\text{diagPhase}(\theta) \cdot \text{diagPhase}(\phi) = \text{diagPhase}(\theta + \phi)

#diagPhase_mul

For any two functions θ,ϕ:{0,1,2}R\theta, \phi: \{0, 1, 2\} \to \mathbb{R} representing sets of phase angles, the product of the diagonal phase matrices diagPhase(θ)\text{diagPhase}(\theta) and diagPhase(ϕ)\text{diagPhase}(\phi) is equal to the diagonal phase matrix diagPhase(θ+ϕ)\text{diagPhase}(\theta + \phi). Here, diagPhase(θ)\text{diagPhase}(\theta) denotes the 3×33 \times 3 complex diagonal matrix diag(eiθ0,eiθ1,eiθ2)\text{diag}(e^{i\theta_0}, e^{i\theta_1}, e^{i\theta_2}).

definition

The unitary diagonal phase matrix diag(eiθ0,eiθ1,eiθ2)\text{diag}(e^{i\theta_0}, e^{i\theta_1}, e^{i\theta_2})

#diagPhase_unitary

For any vector of phases θ:{0,1,2}R\theta: \{0, 1, 2\} \to \mathbb{R}, `diagPhase_unitary` defines a 3×33 \times 3 diagonal unitary matrix in U(3)U(3) whose entries are given by eiθje^{i \theta_j} for j{0,1,2}j \in \{0, 1, 2\}. Specifically, it is the matrix (eiθ0000eiθ1000eiθ2) \begin{pmatrix} e^{i \theta_0} & 0 & 0 \\ 0 & e^{i \theta_1} & 0 \\ 0 & 0 & e^{i \theta_2} \end{pmatrix} viewed as an element of the unitary group U(3)U(3).

theorem

The matrix representation of diagPhase_unitary(θ)\text{diagPhase\_unitary}(\theta) is diagPhase(θ)\text{diagPhase}(\theta)

#diagPhaseShift_coe_matrix

For any function θ:{0,1,2}R\theta: \{0, 1, 2\} \to \mathbb{R} representing a set of three phase angles, the matrix underlying the unitary group element diagPhase_unitary(θ)\text{diagPhase\_unitary}(\theta) is equal to the diagonal complex matrix diagPhase(θ)\text{diagPhase}(\theta), whose entries are eiθje^{i\theta_j} for j{0,1,2}j \in \{0, 1, 2\}.

definition

Lepton phase shift matrix diag(eia,eib,eic)\text{diag}(e^{ia}, e^{ib}, e^{ic})

#leptonPhaseShift

Given three real numbers a,b,cRa, b, c \in \mathbb{R}, the lepton phase shift matrix is the 3×33 \times 3 diagonal complex matrix defined by: diag(eia,eib,eic)=(eia000eib000eic) \text{diag}(e^{ia}, e^{ib}, e^{ic}) = \begin{pmatrix} e^{ia} & 0 & 0 \\ 0 & e^{ib} & 0 \\ 0 & 0 & e^{ic} \end{pmatrix} This matrix represents the phase shift freedom of the charged lepton sector in the context of the PMNS (Pontecorvo–Maki–Nakagawa–Sakata) framework.

definition

Neutrino phase shift matrix diag(eid,eie,eif)\text{diag}(e^{id}, e^{ie}, e^{if})

#neutrinoPhaseShift

Given three real numbers d,e,fRd, e, f \in \mathbb{R}, the neutrino phase shift matrix is defined as the 3×33 \times 3 diagonal complex matrix: diag(eid,eie,eif)=(eid000eie000eif) \text{diag}(e^{id}, e^{ie}, e^{if}) = \begin{pmatrix} e^{id} & 0 & 0 \\ 0 & e^{ie} & 0 \\ 0 & 0 & e^{if} \end{pmatrix} This matrix represents the phase shift freedom of the neutrino sector, assuming neutrinos are Dirac particles.

definition

Majorana phase matrix diag(1,eiα1/2,eiα2/2)\text{diag}(1, e^{i \alpha_1/2}, e^{i \alpha_2/2})

#majoranaPhaseMatrix

Given two real parameters α1\alpha_1 and α2\alpha_2, the Majorana phase matrix is defined as the 3×33 \times 3 diagonal complex matrix: diag(1,eiα1/2,eiα2/2) \text{diag}(1, e^{i \alpha_1/2}, e^{i \alpha_2/2}) In the context of neutrino physics, if neutrinos are Majorana particles, this matrix represents the physical phase shifts that cannot be absorbed into the definition of the neutrino fields.

definition

Dirac equivalence of PMNS matrices UU and VV

#PMNS_dirac_equivalence

Two 3×33 \times 3 complex unitary matrices U,VU(3)U, V \in U(3) satisfy the Dirac PMNS equivalence relation if there exist real-valued phase functions θ,ϕ:{0,1,2}R\theta, \phi: \{0, 1, 2\} \to \mathbb{R} such that U=diag(eiθ0,eiθ1,eiθ2)Vdiag(eiϕ0,eiϕ1,eiϕ2)U = \text{diag}(e^{i\theta_0}, e^{i\theta_1}, e^{i\theta_2}) \cdot V \cdot \text{diag}(e^{i\phi_0}, e^{i\phi_1}, e^{i\phi_2}) where diag(eiαk)\text{diag}(e^{i\alpha_k}) denotes the diagonal matrix with entries eiα0,eiα1,eiα2e^{i\alpha_0}, e^{i\alpha_1}, e^{i\alpha_2}. This relation represents the equivalence of mixing matrices under the rephasing of lepton fields in the Dirac neutrino case.

theorem

Reflexivity of Dirac PMNS Equivalence

#PMNS_dirac_equivalence_refl

The Dirac PMNS equivalence relation is reflexive: for any 3×33 \times 3 complex unitary matrix UU(3)U \in U(3), UU is Dirac PMNS equivalent to itself. Two 3×33 \times 3 complex unitary matrices U,VU(3)U, V \in U(3) satisfy the Dirac PMNS equivalence relation if there exist real-valued phase functions θ,ϕ:{0,1,2}R\theta, \phi: \{0, 1, 2\} \to \mathbb{R} such that U=diag(eiθ0,eiθ1,eiθ2)Vdiag(eiϕ0,eiϕ1,eiϕ2)U = \text{diag}(e^{i\theta_0}, e^{i\theta_1}, e^{i\theta_2}) \cdot V \cdot \text{diag}(e^{i\phi_0}, e^{i\phi_1}, e^{i\phi_2}) where diag(eiαk)\text{diag}(e^{i\alpha_k}) denotes the diagonal matrix with entries eiα0,eiα1,eiα2e^{i\alpha_0}, e^{i\alpha_1}, e^{i\alpha_2}. This relation represents the physical equivalence of mixing matrices under the rephasing of lepton fields in the Dirac neutrino case.

theorem

Symmetry of the Dirac PMNS Equivalence Relation

#PMNS_dirac_equivalence_symm

For any 3×33 \times 3 complex unitary matrices U,VU(3)U, V \in U(3), if UU is Dirac PMNS equivalent to VV, then VV is Dirac PMNS equivalent to UU. Two 3×33 \times 3 complex unitary matrices U,VU(3)U, V \in U(3) satisfy the Dirac PMNS equivalence relation if there exist real-valued phase functions θ,ϕ:{0,1,2}R\theta, \phi: \{0, 1, 2\} \to \mathbb{R} such that U=diag(eiθ0,eiθ1,eiθ2)Vdiag(eiϕ0,eiϕ1,eiϕ2)U = \text{diag}(e^{i\theta_0}, e^{i\theta_1}, e^{i\theta_2}) \cdot V \cdot \text{diag}(e^{i\phi_0}, e^{i\phi_1}, e^{i\phi_2}) where diag(eiαk)\text{diag}(e^{i\alpha_k}) denotes the diagonal matrix with entries eiα0,eiα1,eiα2e^{i\alpha_0}, e^{i\alpha_1}, e^{i\alpha_2}. This relation represents the physical equivalence of mixing matrices under the rephasing of lepton fields in the Dirac neutrino case.

theorem

Transitivity of Dirac PMNS Equivalence

#PMNS_dirac_equivalence_trans

For any 3×33 \times 3 complex unitary matrices U,V,WU(3)U, V, W \in U(3), if UU is Dirac PMNS equivalent to VV and VV is Dirac PMNS equivalent to WW, then UU is Dirac PMNS equivalent to WW. Two matrices A,BU(3)A, B \in U(3) satisfy the Dirac PMNS equivalence relation if there exist real-valued phase functions θ,ϕ:{0,1,2}R\theta, \phi: \{0, 1, 2\} \to \mathbb{R} such that A=diag(eiθ0,eiθ1,eiθ2)Bdiag(eiϕ0,eiϕ1,eiϕ2)A = \text{diag}(e^{i\theta_0}, e^{i\theta_1}, e^{i\theta_2}) \cdot B \cdot \text{diag}(e^{i\phi_0}, e^{i\phi_1}, e^{i\phi_2}) where diag(eiαk)\text{diag}(e^{i\alpha_k}) denotes the diagonal matrix with entries eiα0,eiα1,eiα2e^{i\alpha_0}, e^{i\alpha_1}, e^{i\alpha_2}.