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# scipy.special.multigammaln

`scipy.special.``multigammaln`(a, d)

  Returns the log of multivariate gamma, also sometimes called the generalized gamma.

  Parameters: | a : ndarray The multivariate gamma is computed for each item of a. d : int The dimension of the space of integration.
  Returns: | res : ndarray The values of the log multivariate gamma at the given points a.

  Notes

  The formal definition of the multivariate gamma of dimension d for a real a is:

      \Gamma_d(a) = \int_{A>0}{e^{-tr(A)\cdot{|A|}^{a - (m+1)/2}dA}}

  with the condition `a > (d-1)/2`, and `A > 0` being the set of all the positive definite matrices of dimension s. Note that a is a scalar: the integrand only is multivariate, the argument is not (the function is defined over a subset of the real set).

  This can be proven to be equal to the much friendlier equation:

      \Gamma_d(a) = \pi^{d(d-1)/4}\prod_{i=1}^{d}{\Gamma(a - (i-1)/2)}.

  References

  R. J. Muirhead, Aspects of multivariate statistical theory (Wiley Series in probability and mathematical statistics).