This example solves the Harmonic oscillator numerically on a basis of plane waves.
-- solves the Harmonic oscillator H = -1/2 (d^2/dx^2) + 1/2 x^2 -- on a basis of complex plane waves -- the plane wave basis assumes a periodicity, this length is: a = 20 -- maximum k (ikmax * 2 * pi/a) ikmax = 60 -- each plane wave is a basis "spin-orbital" k runs from -kmax to kmax, including 0, i.e. the number of basis "spin-orbitals" is: NF = 2 * ikmax + 1 -- integration steps dxint = 0.0001 -- we first define a set of functions that are used to create the operators using integrals over the wave-functions -- the basis functions (plane waves) are: function Psi(x, i) k = 2 * pi * i / a return (math.cos(k*x) + I * math.sin(k*x)) / math.sqrt(a) end -- evaluate <psi_i | -1/2 (d^2/dx^2) | psi_j> function IntegrateKineticEnergy(i,j) kj = 2 * pi * j / a sum = 0 for x=-a/2, a/2, dxint do sum = sum - Conjugate(Psi(x,i)) * (kj*kj/2) * Psi(x,j) * dxint end return sum end -- the previous integral has an analytical solution function IntegrateKineticEnergyAna(i,j) if i==j then return 2*(j*pi/a)^2 else return 0 end end -- evaluate <psi_i | 1/2 x^2 | psi_j> function IntegratePotentialEnergy(i,j) kj = 2 * pi * j / a sum = 0 for x=-a/2, a/2, dxint do sum = sum + Conjugate(Psi(x,i)) * (x*x/2) * Psi(x,j) * dxint end return sum end -- the previous integral has an analytical solution function IntegratePotentialEnergyAna(i,j) if i==j then return (a^2)/24 else return a^2 * (2*(i-j) * pi * math.cos((i-j)*pi) + (-2+(i-j)^2*pi^2) * math.sin((i-j)*pi)) / (8 * (i-j)^3 * pi^3) end end -- create the Hamiltonian H = 0*NewOperator("CrAn",NF,0,0) for i=-ikmax, ikmax do for j=-ikmax, ikmax do H = H + (IntegrateKineticEnergyAna(i,j) + IntegratePotentialEnergyAna(i,j)) * NewOperator("CrAn", NF, i+ikmax, j+ikmax) end end -- create the operator to measure the kinetic energy Hkin = 0*NewOperator("CrAn",NF,0,0) for i=-ikmax, ikmax do for j=-ikmax, ikmax do Hkin = Hkin + IntegrateKineticEnergyAna(i,j) * NewOperator("CrAn", NF, i+ikmax, j+ikmax) end end -- create the operator to measure the potential energy Hpot = 0*NewOperator("CrAn",NF,0,0) for i=-ikmax, ikmax do for j=-ikmax, ikmax do Hpot = Hpot + IntegratePotentialEnergyAna(i,j) * NewOperator("CrAn", NF, i+ikmax, j+ikmax) end end -- The operators "do not know" how many electrons there are in the system. -- We can restrict the solutions to only find states with one electron -- For this we create a string with 1's and 0's that tells the code which basis orbitals to include for this specific restriction (useful if one has core states) -- and in restrictions we set the minimum and maximum occupation of these basis orbitals (min=1 and max=1 in our case) restrictionstring = "" for i=1, NF do restrictionstring = restrictionstring .. "1" end StartRestrictions = {NF, 0, {restrictionstring,1,1}} -- we now can create the lowest Npsi eigenstates: Npsi=10 psiList = Eigensystem(H, StartRestrictions, Npsi) -- note that for small systems Eigensystem creates a dense matrix and uses dense methods. -- The boarder between smal and big can be set, if you want to test the Lanczos algorithm as well -- psiList = Eigensystem(H, StartRestrictions, Npsi,{{"DenseBoarder",5}}) -- create output that lists the energy, kinetic energy and potential energy of the states found oppList={H,Hkin,Hpot} print(" <E> <Ekin> <Epot>") for key,psi in pairs(psiList) do expvalue = psi * oppList * psi for k,v in pairs(expvalue) do io.write(string.format("%14.7E ",v)) end; io.write("\n") end
The output is:
Start of BlockGroundState. Converge 10 states to an energy with relative variance smaller than 1.490116119384766E-06 Start of BlockOperatorPsiSerialRestricted Outer loop 1, Number of Determinants: 121 121 last variance 2.926817131871151E+03 Start of BlockOperatorPsiSerialRestricted Start of BlockGroundState. Converge 10 states to an energy with relative variance smaller than 1.490116119384766E-06 Start of BlockOperatorPsiSerial <E> <Ekin> <Epot> 5.0000000E-01 2.5000000E-01 2.5000000E-01 1.5000000E+00 7.5000000E-01 7.5000000E-01 2.5000000E+00 1.2500000E+00 1.2500000E+00 3.5000000E+00 1.7500000E+00 1.7500000E+00 4.5000000E+00 2.2500000E+00 2.2500000E+00 5.5000000E+00 2.7500000E+00 2.7500000E+00 6.5000000E+00 3.2500000E+00 3.2500000E+00 7.5000000E+00 3.7500000E+00 3.7500000E+00 8.5000000E+00 4.2500000E+00 4.2500000E+00 9.5000000E+00 4.7500000E+00 4.7500000E+00