Temperament addition: Difference between revisions

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Take the case of meantone + porcupine = tetracot from the previous section. What this relationship means is that tetracot is the temperament which doesn't temper out the meantone comma itself, nor the porcupine comma itself, but instead tempers out whatever comma relates pitches that are exactly one meantone comma plus one porcupine comma apart. And that's the tetracot comma! And on the other hand, for the temperament difference, dicot, this is the temperament that tempers out neither meantone nor porcupine, but instead the comma that's the size of the difference between them. And that's the dicot comma. So tetracot tempers out 81/80 × 250/243, and dicot tempers out 81/80 × 243/250.
Take the case of meantone + porcupine = tetracot from the previous section. What this relationship means is that tetracot is the temperament which doesn't temper out the meantone comma itself, nor the porcupine comma itself, but instead tempers out whatever comma relates pitches that are exactly one meantone comma plus one porcupine comma apart. And that's the tetracot comma! And on the other hand, for the temperament difference, dicot, this is the temperament that tempers out neither meantone nor porcupine, but instead the comma that's the size of the difference between them. And that's the dicot comma. So tetracot tempers out 81/80 × 250/243, and dicot tempers out 81/80 × 243/250.


Similar reasoning is possible for the mapping-rows of mappings the analogs of the commas of comma bases but are less intuitive to describe.
Similar reasoning is possible for the mapping-rows of mappings the analogs of the commas of comma bases but are less intuitive to describe.


Ultimately, this effect is the primary application of temperament arithmetic. With temperament arithmetic, you're essentially never really able to do anything meaningful beyond entry-wise adding a pair of (mono)vectors. What changes from situation to situation is how many other vectors there are alongside, in the vector sets representing the temperament, whether there are 0 other vectors or 2 or 5. As we'll learn later, any other vectors beyond the first ones are always required to be the same between all the summed or differenced temperaments.
Ultimately, this effect is the primary application of temperament arithmetic. With temperament arithmetic, you're essentially never really able to do anything meaningful beyond entry-wise adding a pair of (mono)vectors. What changes from situation to situation is how many other vectors there are alongside, in the vector sets representing the temperament, whether there are 0 other vectors or 2 or 5. As we'll learn later, any other vectors beyond the first ones are always required to be the same between all the summed or differenced temperaments.