I am using mixing models to calculate effective parameters (such as permittivity or permeability) of mixtures, i.e. inclusions with a given volume fraction in a host medium. There are several mixing formulas that can provide values of the effective parameter of the mixture, such as Maxwell-Garnett or Bruggeman.

Explanations can be found here :http://en.wikipedia.org/wiki/Effective_medium_approximations

Bruggeman's model treats the host medium and the inclusion similarly, and it can handle any number of different inclusions. But, there is a limitation due to the mathematical formulation.

Suppose the simple case of only one inclusion in a host medium, the equation used to find the effective parameter of the mixture is a second order polynomial. If the discriminant is negative (which sometimes happens) then the solution is complex. But this may be non physical depending on the application case (conductivity calculation, permittivity is neither the inclusion nor the host have losses, etc) where we know that a real value is requested.

For a higher number of inclusions, this may happen more often.

So, what is the solution in this case ? How to use Buggeman's model to get a real value for the effective parameter in the case the equation's solutions are complex ?

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