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Logarithmic scale

A logarithmic scale (or log scale) is a method used to display numerical data that spans a broad range of values, especially when there are significant differences between the magnitudes of the numbers involved.

Unlike a linear scale where each unit of distance corresponds to the same increment, on a logarithmic scale each unit of length is a multiple of some base value raised to a power, and corresponds to the multiplication of the previous value in the scale by the base value.


A logarithmic scale is nonlinear, and as such numbers with equal distance between them such as 1, 2, 3, 4, 5 are not equally spaced. Equally spaced values on a logarithmic scale have exponents that increment uniformly. Examples of equally spaced values are 10, 100, 1000, 10000, and 100000 (i.e., 10^1, 10^2, 10^3, 10^4, 10^5) and 2, 4, 8, 16, and 32 (i.e., 2^1, 2^2, 2^3, 2^4, 2^5).


Exponential growth curves are often depicted on a logarithmic scale to prevent them from expanding too rapidly and becoming too large to fit within a small graph.

and moment magnitude scale (MMS) for strength of earthquakes and movement in the Earth

Richter magnitude scale

The markings on slide rules are arranged in a log scale for multiplying or dividing numbers by adding or subtracting lengths on the scales.


The following are examples of commonly used logarithmic scales, where a larger quantity results in a higher value:


The following are examples of commonly used logarithmic scales, where a larger quantity results in a lower (or negative) value:


Some of our senses operate in a logarithmic fashion (Weber–Fechner law), which makes logarithmic scales for these input quantities especially appropriate. In particular, our sense of hearing perceives equal ratios of frequencies as equal differences in pitch. In addition, studies of young children in an isolated tribe have shown logarithmic scales to be the most natural display of numbers in some cultures.[1]

covers a large range of values, since the use of the logarithms of the values rather than the actual values reduces a wide range to a more manageable size;

may contain or power laws, since these will show up as straight lines.

exponential laws

byte

bit

hartley

nat

shannon

Alexander Graham Bell

Bode plot

(arithmetic mean in logscale)

Geometric mean

John Napier

Level (logarithmic quantity)

Log–log plot

Logarithm

Logarithmic mean

Log semiring

Preferred number

Semi-log plot

Tuffentsammer, Karl; Schumacher, P. (1953). "Normzahlen – die einstellige Logarithmentafel des Ingenieurs" [Preferred numbers - the engineer's single-digit logarithm table]. Werkstattechnik und Maschinenbau (in German). 43 (4): 156.

Tuffentsammer, Karl (1956). "Das Dezilog, eine Brücke zwischen Logarithmen, Dezibel, Neper und Normzahlen" [The decilog, a bridge between logarithms, decibel, neper and preferred numbers]. VDI-Zeitschrift (in German). 98: 267–274.

Ries, Clemens (1962). Normung nach Normzahlen [Standardization by preferred numbers] (in German) (1 ed.). Berlin, Germany: . ISBN 978-3-42801242-8. (135 pages)

Duncker & Humblot Verlag

Paulin, Eugen (2007-09-01). [Logarithms, preferred numbers, decibel, neper, phon - naturally related!] (PDF) (in German). Archived (PDF) from the original on 2016-12-18. Retrieved 2016-12-18.

Logarithmen, Normzahlen, Dezibel, Neper, Phon - natürlich verwandt!

. Gnu.org. Retrieved 2016-11-23.

"GNU Emacs Calc Manual: Logarithmic Units"

Non-Newtonian calculus website