- 1 History
- 2 Relationship with exponential functions
- 3 Uses
- 4 Common logarithms
- 5 Natural logarithms
- 6 Common bases for logarithms
- 7 Properties of logarithms
- 8 References
History[change | change source]
Logarithms were first used in India in the 2nd century BC. The first to use logarithms in modern times was the German mathematician Michael Stifel (around 1487-1567). In 1544, he wrote down the following equations: and This is the basis for understanding logarithms. For Stifel, and had to be whole numbers. John Napier (1550–1617) did not want this restriction, and wanted a range for the exponents.
According to Napier, logarithms express ratios: has the same ratio to , as to if the difference of their logarithms matches. Mathematically: . At first, base e was used (even though the number had not been named yet). Henry Briggs proposed to use 10 as a base for logarithms, such logarithms are very useful in astronomy.
Relationship with exponential functions[change | change source]
A logarithm tells what exponent (or power) is needed to make a certain number, so logarithms are the inverse (opposite) of exponentiation
Just as an exponential function has three parts, a logarithm has three parts. The three parts of a logarithm are a base, an argument (also called power) and an answer.
This is an exponential function:
In this function, the base is 2, the power is 3 and the answer is 8.
This exponential function has an inverse, this logarithm:
In this logarithm, the base is 2, the argument is 8 and the answer is 3.
Uses[change | change source]
Logarithms can make multiplication and division of large numbers easy because adding logarithms is the same as multiplying, and subtracting logarithms is the same as dividing.
Before calculators became cheap and common, people used logarithm tables in books to multiply and divide. The same information in a logarithm table was available on a slide rule, a tool with logarithms written on it.
- Logarithmic spirals are common in nature. Examples include the shell of a nautilus or the arrangement of seeds on a sunflower.
- In chemistry, the negative of the base-10 logarithm of the activity of hydronium ions (H3O+, the form H+ takes in water) is the measure known as pH. The activity of hydronium ions in neutral water is 10−7 mol/L at 25 °C, hence a pH of 7. (This is a result of the equilibrium constant, the product of the concentration of hydronium ions and hydroxyl ions, in water solutions being 10−14 M2.)
- In astronomy, the apparent magnitude measures the brightness of stars logarithmically, since the eye also responds logarithmically to brightness.
- Musical intervals are measured logarithmically as semitones. The interval between two notes in semitones is the base-21/12 logarithm of the frequency ratio (or equivalently, 12 times the base-2 logarithm). Fractional semitones are used for non-equal temperaments. Especially to measure deviations from the equal tempered scale, intervals are also expressed in cents (hundredths of an equally-tempered semitone). The interval between two notes in cents is the base-21/1200 logarithm of the frequency ratio (or 1200 times the base-2 logarithm). In MIDI, notes are numbered on the semitone scale (logarithmic absolute nominal pitch with middle C at 60). For microtuning to other tuning systems, a logarithmic scale is defined filling in the ranges between the semitones of the equal tempered scale in a compatible way. This scale corresponds to the note numbers for whole semitones. (see microtuning in MIDI).
Common logarithms[change | change source]
Logarithms to base 10 are called common logarithms. They are usually written without the base. For example:
Some authors prefer the use of natural logarithms as but usually mention this on preface pages.
Natural logarithms[change | change source]
The natural logarithms can take the symbols or
Common bases for logarithms[change | change source]
|2||Very common in Computer Science (binary)|
|e||The base of this is the Eulerian constant e.|
|10||often||Most people use base 10|
|any number, n||This is the general way to write logarithms|
Properties of logarithms[change | change source]
Logarithms have many properties. For example:
Properties from the definition of a logarithm[change | change source]
This property is straight from the definition of a logarithm:
- For example
- , and
- because .
The logarithm to base b of a number a is the same as the logarithm of a divided by the logarithm of b. That is,
For example, let a be 6 and b be 2. With calculators we can show that this is true or at least very close:
Our results had a small error, but this was due to the rounding of numbers.
Since it is hard to picture the natural logarithm, we find that, in terms of a base-ten logarithm:
- Where 0.434294 is an approximation for the logarithm of e.
Operations within logarithm arguments[change | change source]
Logarithms which multiply inside their argument can be changed as follows:
The same works for dividing but subtraction instead of addition, because it is the inverse operation of multiplication:
Logarithm tables, slide rules, and historical applications[change | change source]
Before electronic computers, logarithms were used every day by scientists. Logarithms helped scientists and engineers in many fields such as astronomy.
Before computers, the table of logarithms was an important tool. In 1617, Henry Briggs printed the first logarithm table. This was soon after Napier's basic invention. Later, people made tables with better scope and precision. These tables listed the values of logb(x) and bx for any number x in a certain range, at a certain precision, for a certain base b (usually b = 10). For example, Briggs' first table contained the common logarithms of all integers in the range 1–1000, with a precision of 8 digits. As the function f(x) = bx is the inverse function of logb(x), it has been called the antilogarithm. People used these tables to multiply and divide numbers. For example, a user looked up the logarithm in the table for each of two positive numbers. Adding the numbers from the table would give the logarithm of the product. The antilogarithm feature of the table would then find the product based on its logarithm.
For manual calculations that need precision, performing the lookups of the two logarithms, calculating their sum or difference, and looking up the antilogarithm is much faster than performing the multiplication by earlier ways.
Many logarithm tables give logarithms by separately providing the characteristic and mantissa of x, that is to say, the integer part and the fractional part of log10(x). The characteristic of 10 · x is one plus the characteristic of x, and their significands are the same. This extends the scope of logarithm tables: given a table listing log10(x) for all integers x ranging from 1 to 1000, the logarithm of 3542 is approximated by
Another critical application was the slide rule, a pair of logarithmically divided scales used for calculation, as illustrated here:
Numbers are marked on sliding scales at distances proportional to the differences between their logarithms. Sliding the upper scale appropriately amounts to mechanically adding logarithms. For example, adding the distance from 1 to 2 on the lower scale to the distance from 1 to 3 on the upper scale yields a product of 6, which is read off at the lower part. Many engineers and scientists used slide rules until the 1970s. Scientists can work faster using a slide rule than using a logarithm table.
References[change | change source]
- Campbell-Kelly, Martin (2003), The history of mathematical tables: from Sumer to spreadsheets, Oxford scholarship online, Oxford University Press, ISBN 978-0-19-850841-0, section 2
- Abramowitz, Milton; Stegun, Irene A., eds. (1972), Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables (10th ed.), New York: Dover Publications, ISBN 978-0-486-61272-0, section 4.7., p. 89
- Spiegel, Murray R.; Moyer, R.E. (2006), Schaum's outline of college algebra, Schaum's outline series, New York: McGraw-Hill, ISBN 978-0-07-145227-4, p. 264
- Maor, Eli (2009), E: The Story of a Number, Princeton University Press, ISBN 978-0-691-14134-3, sections 1, 13
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