Inverting a set of core-sample traveltime measurements for a complete
set of 21 elastic constants is a difficult problem. If the 21 elastic
constants are directly used as the inversion parameters, a few bad mea
surements or an unfortunate starting guess may result in the inversion
converging to a physically impossible ''solution''. Even given perfec
t data, multiple solutions may exist that predict the observed travelt
imes equally well. We desire the inversion algorithm to converge not j
ust to a physically possible solution, but to the ''best'' (i.e. most
physically likely) solution of all those allowed. We present a new par
ameterization that attempts to solve these difficulties. The search sp
ace is limited to physically realizable media by making use of the Kel
vin eigenstiffness-eigentensor representation of the 6x6 elastic stiff
ness matrix. Instead of 21 stiffnesses, there are 6 ''eigenstiffness p
arameters'' and 15 ''rotational parameters''. The rotational parameter
s are defined using a Lie-algebra representation that avoids the artif
icial degeneracies and coordinate-system bias that can occur with stan
dard polar representations. For any choice of these 21 real parameters
, the corresponding stiffness matrix is guaranteed to be physically re
alizable. Furthermore, all physically realizable matrices can be repre
sented in this way. This new parameterization still leaves considerabl
e latitude as to which linear combinations of the Kelvin parameters to
use, and how they should be ordered. We demonstrate that by careful c
hoice and ordering of the parameters, the inversion can be ''relaxed'
from higher to lower symmetry simply by adding a few more parameters a
t a time. By starting from isotropy and relaxing to the general result
in stages (isotropy, transverse isotropy, orthorhombic, general), we
expect that the method should find the solution that is closest to iso
tropy of all those that fit the data.