Tp tuning: Difference between revisions
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In the special case where {{nowrap|''p'' {{=}} 2}}, the T<sub>''p''</sub> norm for the full prime limit becomes the T<sub>2</sub> norm, which when divided by the square root of the number ''n'' of primes in the prime limit, is the [[Tenney-Euclidean metrics|Tenney-Euclidean norm]], giving TE complexity. Associated to this norm is T<sub>2</sub> tuning extended to arbitrary JI groups, and [[Tenney-Euclidean temperament measures #TE error|RMS error]], which for a tuning map ''T'' is {{nowrap|‖(''T'' − ''J'')/''n''‖<sub>2</sub> {{=}} ‖''T'' − ''J''‖<sub>RMS</sub>}}. | In the special case where {{nowrap|''p'' {{=}} 2}}, the T<sub>''p''</sub> norm for the full prime limit becomes the T<sub>2</sub> norm, which when divided by the square root of the number ''n'' of primes in the prime limit, is the [[Tenney-Euclidean metrics|Tenney-Euclidean norm]], giving TE complexity. Associated to this norm is T<sub>2</sub> tuning extended to arbitrary JI groups, and [[Tenney-Euclidean temperament measures #TE error|RMS error]], which for a tuning map ''T'' is {{nowrap|‖(''T'' − ''J'')/''n''‖<sub>2</sub> {{=}} ‖''T'' − ''J''‖<sub>RMS</sub>}}. | ||
For an example, consider [[ | For an example, consider [[Subgroup temperaments #Indium|indium temperament]], with group 2.5/3.7/3.11/3 and [[comma basis]] 3025/3024 and 3125/3087. The corresponding full 11-limit temperament is of rank three, and using the [[Tenney-Euclidean tuning|usual methods]], in particular the pseudoinverse, we find that the T<sub>2</sub> (TE) tuning map is {{val| 1199.552 1901.846 2783.579 3371.401 4153.996 }}. Applying that to 12/11 gives a generator of 146.995, and multiplying that by 1200.000/1199.552 gives a POT<sub>2</sub> tuning, or extended POTE tuning, of 147.010. Converting the tuning map to weighted coordinates and subtracting {{val| 1200 1200 1200 1200 1200 }} gives {{val| -0.4475 -0.0685 -1.1778 0.9172 0.7741 }}. The ordinary Euclidean norm of this, i.e. the square root of the dot product, is 1.7414, and dividing by sqrt (5) gives the RMS error, 0.77879 cents. | ||
This is called ''subgroup TE'' in Graham Breed's temperament finder. | This is called ''subgroup TE'' in Graham Breed's temperament finder. |