Relative interval error

This page is about the error of intervals measured in relative cents. For the relative error of temperaments, see Tenney-Euclidean temperament measures #TE simple badness.

The relative error of an interval in an edo is the interval's error in cents divided by the cents of an edostep, or equivalently stated, the error in relative cents.

For example, in 24edo, 3/2 has an absolute error of about −2 ¢, meaning that the nearest interval in the edo is about 2 ¢ flat of 3/2. One edostep is 50 ¢, and −2/50 = −0.04, therefore the relative error is about −4% or −4 relative cents. In contrast, 12edo has the same absolute error, but a smaller relative error of −2%.

Computation

In direct approximation

To find the relative error ε of any JI ratio in direct approximation:

[math]\displaystyle{ \varepsilon (n, r) = (\operatorname{round} (n \log_2 r) - n \log_2 r) \times 100\% }[/math]

where n is the edo number and r is the ratio in question.

The unit of relative error is relative cent or percent.

In val mapping

Given n-edo equipped with p-limit val V = ⟨v₁ v₂ … v_{π (p)}], the relative error map Ɛ_r of each prime harmonic is given by

[math]\displaystyle{ \mathcal {E}_\text {r} = (V - nJ) \times 100\% }[/math]

where J = ⟨1 log₂3 … log₂p] is the just tuning map.

Thanks to the linearity of the interval space, the relative error for any monzo m is given by

[math]\displaystyle{ \mathcal {E}_\text {r} \cdot \vec m }[/math]

Example

Let us try finding the relative error of 6/5 in 19edo's patent val. We may first find the errors of 2/1, 3/1 and 5/1 in 19edo. They are 0, −11.43% and −11.66%, respectively. Since 6/5 = (2/1)(3/1) / (5/1), its error is 0 + (−11.43%) − (−11.66%) = 0.23%. That shows 19edo has fairly flat fifths and major thirds, yet they cancel out when it comes to minor thirds and results in a very accurate approximation.

Linearity

In val mapping, the relative error space {Ɛ_r} is linear. That is, if n = αn₁ + βn₂ and V = αV₁ + βV₂, then

[math]\displaystyle{ \begin{align} \mathcal {E}_\text {r} &= (V - nJ) \times 100\% \\ &= ((\alpha V_1 + \beta V_2) - (\alpha n_1 + \beta n_2)J) \times 100\% \\ &= \alpha (V_1 - n_1 J) \times 100\% + \beta (V_2 - n_2 J) \times 100\% \\ &= \alpha \mathcal {E}_\text {r1} + \beta \mathcal {E}_\text {r2} \end{align} }[/math]

In direct approximation, the relative error space is also linear, but modulo 100%. Furthermore, we can show the relative error of any individual interval is equidistributed from −50% to +50%, according to the equidistribution theorem.

An application of these properties concerns the fact that we can add the relative error maps of two edos together to form the relative error map of their sum. For example, the relative error map of 26edo using its 5-limit patent val is

[math]\displaystyle{ \mathcal {E}_\text {r} (26) = \langle \begin{matrix} 0.00\% & -20.90\% & -37.01\% \end{matrix} ] }[/math]

That of 27edo using its 5-limit patent val is

[math]\displaystyle{ \mathcal {E}_\text {r} (27) = \langle \begin{matrix} 0.00\% & +20.60\% & +30.79\% \end{matrix} ] }[/math]

As 53 = 26 + 27, the relative error map of 53edo using its 5-limit patent val is

[math]\displaystyle{ \mathcal {E}_\text {r} (53) = \langle \begin{matrix} 0.00\% & -0.30\% & -6.22\% \end{matrix} ] }[/math]

We see how the errors of a sharp tending system and a flat tending system cancel out each other by the sum, and result in a much more accurate equal temperament.

See also

• Relative cent
• Relative errors of small EDOs