Temperament addition: Difference between revisions

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Negation: don't use normal uppercase letter for an abstraction that's not a matrix
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For single vectors (and multivectors), negation is as simple as changing the sign of every entry.
For single vectors (and multivectors), negation is as simple as changing the sign of every entry.


Suppose you have a matrix representing temperament <math>T_1</math> and another matrix representing <math>T_2</math>. If you want to find both their sum and difference, you can calculate both <math>T_1 + T_2</math> and <math>T_1 + -T_2</math>. There's no need to also find <math>-T_1 + T_2</math>; this will merely give the negation of <math>T_1 + -T_2</math>. The same goes for <math>-T_1 + -T_2</math>, which is the negation of <math>T_1 + T_2</math>.
Suppose you have a matrix representing temperament <math>𝓣_1</math> and another matrix representing <math>𝓣_2</math>. If you want to find both their sum and difference, you can calculate both <math>𝓣_1 + 𝓣_2</math> and <math>𝓣_1 + -𝓣_2</math>. There's no need to also find <math>-𝓣_1 + 𝓣_2</math>; this will merely give the negation of <math>𝓣_1 + -𝓣_2</math>. The same goes for <math>-𝓣_1 + -𝓣_2</math>, which is the negation of <math>𝓣_1 + 𝓣_2</math>.


But a question remains: which result between <math>T_1 + T_2</math> and <math>T_1 + -T_2</math> is actually the sum and which is the difference? This seems like an obvious question to answer, except for one key problem: how can we be certain that <math>T_1</math> or <math>T_2</math> wasn't already in negated form to begin with? We need to establish a way to check for matrix negativity.
But a question remains: which result between <math>𝓣_1 + 𝓣_2</math> and <math>𝓣_1 + -𝓣_2</math> is actually the sum and which is the difference? This seems like an obvious question to answer, except for one key problem: how can we be certain that <math>𝓣_1</math> or <math>𝓣_2</math> wasn't already in negated form to begin with? We need to establish a way to check for matrix negativity.


The check is that the vectors must be in [[canonical form]]. For a contravariant vector, such as the kind that represent commas, canonical form means that the trailing entry (the final non-zero entry) must be positive. For a covariant vector, such as the kind that represent mapping-rows, canonical form means that the leading entry (the first non-zero entry) must be positive.  
The check is that the vectors must be in [[canonical form]]. For a contravariant vector, such as the kind that represent commas, canonical form means that the trailing entry (the final non-zero entry) must be positive. For a covariant vector, such as the kind that represent mapping-rows, canonical form means that the leading entry (the first non-zero entry) must be positive.