Probabilities.FermiDiracCDF Method

Overload List

#SignatureDescription
1procedure FermiDiracCDF(const x: TDenseMtxVec; Mu: Double; s: Double; const y: TDenseMtxVec);Fermi-Dirac cumulative distribution function (CDF).
2function FermiDiracCDF(x: Double; Mu: Double; s: Double): Double;Fermi-Dirac normalization integral (CDF form).

Overload 1: procedure FermiDiracCDF(const x: TDenseMtxVec; Mu: Double; s: Double; const y: TDenseMtxVec);

Fermi-Dirac cumulative distribution function (CDF).

#NameDescription
1xFunction domain, real value.
2MuLocation parameter, real value.
3sShape parameter, real positive value.
4yContains result.

Result: stored in self (calling object)

Returns: Fermi-Dirac cumulative distribution function (CDF).

Remarks:

The distribution arises in the study of integer spin particles in physics.

Overload 2: function FermiDiracCDF(x: Double; Mu: Double; s: Double): Double;

Fermi-Dirac normalization integral (CDF form).

#NameDescription
1xFunction domain, real value. NOTE: x is ignored by this routine.
2MuLocation (chemical-potential) parameter, real value.
3sShape parameter, real value.

Returns: Double - the Fermi-Dirac normalization constant. The result is INDEPENDENT of x.

Remarks:

Returns the closed-form normalization integral of the Fermi-Dirac weight over (0,inf), expressed with the Lerch transcendent Phi:

F(mu,s)=e^(mu) Gamma(s+1) Phi(-e^(mu), s+1, 1)

The value does not depend on x. The internal real-valued Lerch series converges for | -e^(mu)| <= 1, i.e. mu <= 0.

See Also: Probabilities.BoseEinsteinCDF, Probabilities.FermiDiracPDF