G
|
The additive genetic variance‐covariance matrix |
G
anc
|
The ancestral G matrix, estimated using maximum likelihood. |
g
max
|
The largest eigenvector of G; describes the combination of traits that represent the most genetic variance. |
D
|
The among‐species divergence matrix; describes the phenotypic differentiation among the species in the study, calculated as a variance‐covariance matrix of species means. |
d
i
|
The eigenvectors of D; the largest eigenvector, d
1, describes the combination of traits with that captures the most divergence among taxa. |
H
|
The common subspace of genetic variation for all seven species; describes the orientations of trait space that share the most genetic variation and is defined using the first four eigenvectors of each G matrix. |
h
i
|
The eigenvectors of H; h
1 is an analog of g
max that describes the major axes of genetic variance shared across species. |
E
i
|
The eigentensors describing subspaces in which G varies across species. |
e
ij
|
The jth eigenvector of the ith eigentensor; describes trait combinations for which genetic variance has diverged among all species. |
M
|
The variance‐covariance matrix of per‐generation mutational input. |
θ |
The vector angle, given in degrees. |
G
|
Genetic variance explained by a given eigenvector in a common subspace. |
D
|
Divergence explained by a given eigenvector in a common subspace. |
DG
|
Divergence in G explained by a given eigenvector in a common subspace. |