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Why estimating relative differences by Ln(A/B) in percentage and why naming it geometric difference

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HAL Id: hal-01480972

https://hal.archives-ouvertes.fr/hal-01480972

Submitted on 2 Mar 2017

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Why estimating relative differences by Ln(A/B) in percentage and why naming it geometric difference

Christian Graff

To cite this version:

Christian Graff. Why estimating relative differences by Ln(A/B) in percentage and why naming it geometric difference. The inaugural International Convention of Psychological Science (ICPS), Mar 2015, Amsterdam, Netherlands. �hal-01480972�

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Why estimating relative differences by Ln(A/B) in percentage and why naming it geometric difference

Christian GRAFF

Laboratoire de Psychologie et Neurocognition (LPNC CNRS UMR5105), Université de Grenoble, France

Arithmetic difference

* The word difference bears numerous meanings, including dissimilarities.

* Its use in mathematics is essentially dedicated to the result of the arithmetic operation called subtraction.

* Thus I will specify the result of the subtraction of A by B as the arithmetic difference: D = A – B.

Introduction

We know since Weber, Fechner and Stevens, that relative differences express dissimilarities better than absolute differences. For example, differential thresholds from a standard (Ref) are better defined by a Weber ratio JND/Ref rather than by several Just Noticeable Differences (JND).

Relative differences are meaningfully expressed in percent. I demonstrate elsewhere (1) that Ln(A/B) may be turned directly into a percentage to express the relative difference between A and B in %. Naming it the “geometric difference“ emphasizes the relationship between logarithmic scale and relative differences.

Geometric difference

& other relative differences

A dissimilarity, e.g. between A=150g and B=125g, may be expressed by the arithmetic difference A – B = 25g. The geometric difference is one estimate of relative difference, as well as (A – B) / B or (A-B) / [(A+B) /2]. It always sits between the two extreme, better-known, estimates:

(A – B)/B = 0.200 = 20.0%

Ln(A/B) = 0.182 = 18.2%

(A – B)/A = 0.167 = 16.7%

Thus (A – B)/A < Ln(A/B) < (A – B)/B. This advantage, specific to Ln, the natural logarithm (log to the base e), adds to the following properties: additivity, symmetry and agreement between inverted units (1).

Arithmetic & geometric progression

* An arithmetic progression is a sequence of values (…, Ai, Ai+1, ...) such that Ai+1 = Ai + C, thus

C = Ai+1 – Ai.

Two consecutive values Ai+1 and Ai-1 are separated by a constant arithmetic difference C.

* A geometric progression is a sequence of values (…, Gi, Gi+1, …) such that Gi+1 = Gi*K, K being a constant ratio.

Two consecutive values Gi+1 and Gi-1 are separated by a constant geometric difference

Ln(K) = Ln(Gi+1/Gi).

Conclusion

Relative differences are central to psychophysics. Taking the step to present the geometric difference as a percentage will facilitate comparisons between stimuli and between performances. The expression “geometric difference” for Ln(A/B) = Ln(A)–Ln(B) may contribute to comprehend it among many related mathematical tools.

Arithmetic & geometric means

* The arithmetic mean Ma= (A+B)/2 between two values A and B is such that the arithmetic difference between either of the two values and their arithmetic mean are equal (but opposite):

(Ma–A) = – (Ma–B).

* The geometric mean Mg = √A*B between two values A and B is such that the geometric difference between either of the two values and their geometric mean are equal (but opposite):

Ln(Mg/B) = – Ln(Mg/A).

The sum of geometric differences from a geometric mean is null also when more than two values are averaged, as for arithmetic differences and mean.

Linear & logarithmic scales

* On a linear scale, an equal distance represents same dissimilarities as estimated by equal arithmetic differences.

* On a logarithmic scale, an equal distance represents same

dissimilarities as estimated by equal geometric differences (%).

200 400 800 1600

Inter-tap interval (ms) on a logarithmic scale 5.3%

7.1%

5.7%

4.2%

8.0%

8.6%

200 400 600 800 1000 1200 1400 1600

Very slow

Inter-tap interval (ms) on a linear scale

116.5ms

55.5ms

20.3ms 29.8ms

26.3ms

11.5ms

Slow

First normal

Second normal

Fast

Very fast

Inter-tap interval plots of isochronous finger-tapping at various paces by one participant. Each inter-quartile range is shown as arithmetic difference on a linear scale (left), and as geometric difference in % on a logarithmic scale (right).

Very slow

Slow

First normal

Second normal

Fast

Very fast

(1) Reference

C. Graff (2014). Expressing relative differences (in

percent) by the difference of natural logarithms.

Journal of Mathematical Psychology 60, 82–85.

Arithmetic mean Geometric mean

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