Delta-rational chord: Difference between revisions

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The existence of an exact tuning for a delta signature specification is only guaranteed to hold when we only care about a ratio between ''two'' terms in the delta signature being exact. If we want to optimize an arbitrary specified delta signature (with some deltas possibly held free), we can use a least-squares-error solution instead to minimize the error.
The existence of an exact tuning for a delta signature specification is only guaranteed to hold when we only care about a ratio between ''two'' terms in the delta signature being exact. If we want to optimize an arbitrary specified delta signature (with some deltas possibly held free), we can use a least-squares-error solution instead to minimize the error.


== Least-squares error measures ==
== Error measures ==
Say we want the error of a chord 1:''r''<sub>1</sub>:''r''<sub>2</sub>:...:''r''<sub>''n''</sub> (in increasing order), with {{nowrap|''n'' &gt; 1}}, in the linear domain as an approximation to a fully delta-rational chord with signature {{nowrap|+δ<sub>1</sub> +δ<sub>2</sub> ... +δ<sub>''n''</sub>
The idea motivating least-squares error measures on delta signatures is the following: Say we want the error of a chord 1:''r''<sub>1</sub>:''r''<sub>2</sub>:...:''r''<sub>''n''</sub> (in increasing order), with {{nowrap|''n'' &gt; 1}}, in the linear domain as an approximation to a fully delta-rational chord with signature {{nowrap|+δ<sub>1</sub> +δ<sub>2</sub> ... +δ<sub>''n''</sub>
}} (where the delta signature is written based on the chord written to have root 1), i.e. a chord
}} (where the delta signature is written based on the chord written to have root 1), i.e. a chord


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It satisfies SLSE({D_i}, {E_i}) = SLSE({E_i}, {D_i}) and is an upper bound for the NLSE. However, it is invariant under scaling neither of the arguments.
It satisfies SLSE({D_i}, {E_i}) = SLSE({E_i}, {D_i}) and is an upper bound for the NLSE. However, it is invariant under scaling neither of the arguments.
=== Round metric ===
Project the set of delta signatures with ''n'' terms (as directions of rays in the positive orthant of <math>\mathbb{R}^n</math>) onto the sphere <math>S^{n-1}</math> and measure the distance on the sphere. This results in the ''round metric''{{idiosyncratic}}.


=== Open problems ===
=== Open problems ===
Find a version of the symmetric least-squares error that forms a metric on the set of delta signatures with n terms. This should ideally itself be a solution to a least-squares optimization problem.
Find a version of the symmetric least-squares error that forms a metric on the set of delta signatures with n terms. This should ideally itself be a solution to a least-squares optimization problem.
== Other error measures ==
=== Round metric ===
Project the set of delta signatures with ''n'' terms (as directions of rays in the positive orthant of <math>\mathbb{R}^n</math>) onto the sphere <math>S^{n-1}</math> and measure the distance on the sphere. This results in the ''round metric''{{idiosyncratic}}.


== DR triads in small edos ==
== DR triads in small edos ==