Tenney–Euclidean temperament measures: Difference between revisions

TE complexity: explanation via Mike Battaglia (archive #20598)
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: '''Note''': that is the definition used by Graham Breed's temperament finder.  
: '''Note''': that is the definition used by Graham Breed's temperament finder.  


Gene Ward Smith defines the TE error as the ratio ‖''M''<sub>''W''</sub> ∧ ''J''<sub>''W''</sub>‖/‖''M''<sub>''W''</sub>‖, derived from the relationship of TE simple badness and TE complexity. See the next section. We denote this definition of TE error ''Ψ''. From {{nowrap|‖''M''<sub>''W''</sub> ∧ ''J''<sub>''W''</sub>‖/‖''M''<sub>''W''</sub>‖}} we can extract a coefficient {{nowrap| sqrt(''C''(''n'', ''r'' + 1)/''C''(''n'', ''r'')) {{=}} sqrt((''n'' − ''r'')/(''r'' + 1)) }}, which relates ''Ψ'' with ''E'' as follows:  
Gene Ward Smith defines the TE error as the ratio {{nowrap|‖''M''<sub>''W''</sub> ∧ ''J''<sub>''W''</sub>‖/‖''M''<sub>''W''</sub>‖}}, derived from the relationship of TE simple badness and TE complexity. See the next section. We denote this definition of TE error ''Ψ''. From {{nowrap|‖''M''<sub>''W''</sub> ∧ ''J''<sub>''W''</sub>‖/‖''M''<sub>''W''</sub>‖}} we can extract a coefficient {{nowrap| sqrt(''C''(''n'', ''r'' + 1)/''C''(''n'', ''r'')) {{=}} sqrt((''n'' − ''r'')/(''r'' + 1)) }}, which relates ''Ψ'' with ''E'' as follows:  


$$ \Psi = \sqrt{\frac{r + 1}{n - r}} E $$
$$ \Psi = \sqrt{\frac{r + 1}{n - r}} E $$
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''G'' and ''ψ'' error both have the advantage that higher-rank temperament error corresponds directly to rank-1 error, but the RMS normalization has the further advantage that in the rank-1 case, {{nowrap| ''G'' {{=}} sin ''θ'' }} octaves, where ''θ'' is the angle between ''J''<sub>''W''</sub> and the val in question.  
''G'' and ''ψ'' error both have the advantage that higher-rank temperament error corresponds directly to rank-1 error, but the RMS normalization has the further advantage that in the rank-1 case, {{nowrap| ''G'' {{=}} sin ''θ'' }} octaves, where ''θ'' is the angle between ''J''<sub>''W''</sub> and the val in question.  
Sintel defines the TE error as the ratio {{nowrap|''G'' {{=}} ‖''M''<sub>''U''</sub> ∧ ''J''<sub>''U''</sub>‖/‖''M''<sub>''U''</sub>‖}}, using ''U''-weighted norm (see the next section), and it results to the same value of Graham's definition.


== TE simple badness ==
== TE simple badness ==
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| 5.400
| 5.400
| 2.763
| 2.763
| 12.435×10<sup>−3</sup>
| 1.244×10<sup>−2</sup>
|-
|-
| Septimal magic
| Septimal magic
| 7.195
| 7.195
| 2.149
| 2.149
| 12.882×10<sup>−3</sup>
| 1.288×10<sup>−2</sup>
|}
|}
{| class="wikitable center-all left-1"
{| class="wikitable center-all left-1"
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| 2.631
| 2.631
| 6.441×10<sup>−3</sup>
| 6.441×10<sup>−3</sup>
|}
{| class="wikitable center-all left-1"
|+ style="font-size: 105%;" | Sintel's norm
|-
! Temperament
! Complexity
! Error (¢)
! Simple badness
|-
| Septimal meantone
| 17.357
| 1.382
| 1.999×10<sup>−2</sup>
|-
| Septimal magic
| 23.126
| 1.074
| 2.070×10<sup>−2</sup>
|}
|}