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Working multi-precision simulations
The pure gauge theory with groups SU(2) and SU(3) is working properly.
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8 changed files with 188 additions and 283 deletions
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@ -13,20 +13,22 @@
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# SU(2) group elements represented trough Cayley-Dickson
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# construction
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# https://en.wikipedia.org/wiki/Cayley%E2%80%93Dickson_construction
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using CUDA
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using CUDA, Random
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import Base.:*, Base.:+, Base.:-,Base.:/,Base.:\,Base.exp
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import Base.:*, Base.:+, Base.:-,Base.:/,Base.:\,Base.exp,Base.zero,Base.one
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import Random.rand
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struct SU2{T} <: Group
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t1::Complex{T}
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t2::Complex{T}
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end
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SU2() = SU2{Float64}(complex(1.0), complex(0.0))
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SU2(a::T, b::T) where T <: AbstractFloat = SU2{T}(complex(a), complex(b))
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inverse(b::SU2{T}) where T <: AbstractFloat = SU2{T}(conj(b.t1), -b.t2)
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dag(a::SU2{T}) where T <: AbstractFloat = inverse(a)
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norm(a::SU2{T}) where T <: AbstractFloat = sqrt(abs2(a.t1) + abs2(a.t2))
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norm2(a::SU2{T}) where T <: AbstractFloat = abs2(a.t1) + abs2(a.t2)
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tr(g::SU2{T}) where T <: AbstractFloat = complex(2.0*real(g.t1), 0.0)
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SU2(a::T, b::T) where T <: AbstractFloat = SU2{T}(complex(a), complex(b))
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inverse(b::SU2{T}) where T <: AbstractFloat = SU2{T}(conj(b.t1), -b.t2)
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dag(a::SU2{T}) where T <: AbstractFloat = inverse(a)
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norm(a::SU2{T}) where T <: AbstractFloat = sqrt(abs2(a.t1) + abs2(a.t2))
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norm2(a::SU2{T}) where T <: AbstractFloat = abs2(a.t1) + abs2(a.t2)
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tr(g::SU2{T}) where T <: AbstractFloat = complex(2.0*real(g.t1), 0.0)
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Base.one(::Type{SU2{T}}) where T <: AbstractFloat = SU2{T}(one(T),zero(T))
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Random.rand(rng::AbstractRNG, ::Random.SamplerType{SU2{T}}) where T <: AbstractFloat = exp(SU2alg{T}(randn(rng,T),randn(rng,T),randn(rng,T)))
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"""
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function normalize(a::SU2)
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@ -56,6 +58,9 @@ projalg(g::SU2{T}) where T <: AbstractFloat = SU2alg{T}(imag(g.t
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dot(a::SU2alg{T}, b::SU2alg{T}) where T <: AbstractFloat = a.t1*b.t1 + a.t2*b.t2 + a.t3*b.t3
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norm(a::SU2alg{T}) where T <: AbstractFloat = sqrt(a.t1^2 + a.t2^2 + a.t3^2)
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norm2(a::SU2alg{T}) where T <: AbstractFloat = a.t1^2 + a.t2^2 + a.t3^2
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Base.zero(::Type{SU2alg{T}}) where T <: AbstractFloat = SU2alg{T}(zero(T),zero(T),zero(T))
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Random.rand(rng::AbstractRNG, ::Random.SamplerType{SU2alg{T}}) where T <: AbstractFloat = SU2alg{T}(randn(rng,T),randn(rng,T),randn(rng,T))
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Base.:+(a::SU2alg{T}) where T <: AbstractFloat = SU2alg{T}(a.t1,a.t2,a.t3)
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Base.:-(a::SU2alg{T}) where T <: AbstractFloat = SU2alg{T}(-a.t1,-a.t2,-a.t3)
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Base.:+(a::SU2alg{T},b::SU2alg{T}) where T <: AbstractFloat = SU2alg{T}(a.t1+b.t1,a.t2+b.t2,a.t3+b.t3)
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@ -17,8 +17,10 @@
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# a.u32 = conj(a.u13*a.u21 - a.u11*a.u23)
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# a.u33 = conj(a.u11*a.u22 - a.u12*a.u21)
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#
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using Random
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import Base.:*, Base.:+, Base.:-,Base.:/,Base.:\
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import Base.:*, Base.:+, Base.:-,Base.:/,Base.:\,Base.one,Base.zero
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import Random.rand
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struct SU3{T} <: Group
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u11::Complex{T}
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u12::Complex{T}
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@ -27,11 +29,12 @@ struct SU3{T} <: Group
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u22::Complex{T}
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u23::Complex{T}
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end
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SU3() = SU3{Float64}(1.0,0.0,0.0,0.0,1.0,0.0)
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inverse(a::SU3{T}) where T <: AbstractFloat = SU3{T}(conj(a.u11),conj(a.u21),(a.u12*a.u23 - a.u13*a.u22),
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conj(a.u12),conj(a.u22),(a.u13*a.u21 - a.u11*a.u23))
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dag(a::SU3{T}) where T <: AbstractFloat = inverse(a)
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tr(a::SU3{T}) where T <: AbstractFloat = a.u11+a.u22+conj(a.u11*a.u22 - a.u12*a.u21)
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inverse(a::SU3{T}) where T <: AbstractFloat = SU3{T}(conj(a.u11),conj(a.u21),(a.u12*a.u23 - a.u13*a.u22), conj(a.u12),conj(a.u22),(a.u13*a.u21 - a.u11*a.u23))
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dag(a::SU3{T}) where T <: AbstractFloat = inverse(a)
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tr(a::SU3{T}) where T <: AbstractFloat = a.u11+a.u22+conj(a.u11*a.u22 - a.u12*a.u21)
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Base.one(::Type{SU3{T}}) where T <: AbstractFloat = SU3{T}(one(T),zero(T),zero(T),zero(T),one(T),zero(T))
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Random.rand(rng::AbstractRNG, ::Random.SamplerType{SU3{T}}) where T <: AbstractFloat = exp(SU3alg{T}(randn(rng,T),randn(rng,T),randn(rng,T),randn(rng,T),randn(rng,T),randn(rng,T),randn(rng,T),randn(rng,T)))
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function Base.:*(a::SU3{T},b::SU3{T}) where T <: AbstractFloat
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@ -103,7 +106,7 @@ struct SU3alg{T} <: Algebra
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t7::T
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t8::T
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end
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SU3alg() = SU3alg{Float64}(0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0)
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function projalg(a::SU3{T}) where T <: AbstractFloat
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sr3ov2::T = 0.866025403784438646763723170752
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@ -122,6 +125,9 @@ end
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dot(a::SU3alg{T},b::SU3alg{T}) where T <: AbstractFloat = a.t1*b.t1 + a.t2*b.t2 + a.t3*b.t3 + a.t4*b.t4 + a.t5*b.t5 + a.t6*b.t6 + a.t7*b.t7 + a.t8*b.t8
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norm2(a::SU3alg{T}) where T <: AbstractFloat = a.t1^2 + a.t2^2 + a.t3^2 + a.t4^2 + a.t5^2 + a.t6^2 + a.t7^2 + a.t8^2
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norm(a::SU3alg{T}) where T <: AbstractFloat = sqrt(a.t1^2 + a.t2^2 + a.t3^2 + a.t4^2 + a.t5^2 + a.t6^2 + a.t7^2 + a.t8^2)
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Base.zero(::Type{SU3alg{T}}) where T <: AbstractFloat = SU3alg{T}(zero(T),zero(T),zero(T),zero(T),zero(T),zero(T),zero(T),zero(T))
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Random.rand(rng::AbstractRNG, ::Random.SamplerType{SU3alg{T}}) where T <: AbstractFloat = SU3alg{T}(randn(rng,T),randn(rng,T),randn(rng,T),randn(rng,T),randn(rng,T),randn(rng,T),randn(rng,T),randn(rng,T))
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Base.:+(a::SU3alg{T}) where T <: AbstractFloat = SU3alg{T}(a.t1,a.t2,a.t3,a.t4,a.t5,a.t6,a.t7,a.t8)
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Base.:-(a::SU3alg{T}) where T <: AbstractFloat = SU3alg{T}(-a.t1,-a.t2,-a.t3,-a.t4,-a.t5,-a.t6,-a.t7,-a.t8)
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Base.:+(a::SU3alg{T},b::SU3alg{T}) where T <: AbstractFloat = SU3alg{T}(a.t1+b.t1,a.t2+b.t2,a.t3+b.t3,a.t4+b.t4,a.t5+b.t5,a.t6+b.t6,a.t7+b.t7,a.t8+b.t8)
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