Logarithms and Exponentials
Logarithms, Laws, Natural Logarithms, Exponential Growth and Decay
Why we study this
We used to use logarithms as an aid to calculation, either using tables of logarithms or as the principle behind slide rules. Logs allow us to use addition to multiply, use subtraction to divide, multiplication for powers and division for roots. However, logarithms have a more fundamental role in mathematics as the inverse function to the exponential or power function, and as such has applications for the modelling of growth and decay, for example radioactivity, cooling of liquids, and modelling population growth.

History of Logarithms

The story of logarithms begins in a drafty Scottish castle during the late 16th century. John Napier, the 8th Laird of Merchiston, was a man of many interests, from theology to agriculture, but he became obsessed with solving a specific problem: the sheer exhaustion of manual arithmetic. For astronomers and sailors of his era, a single calculation involving large numbers could take days and was prone to human error. Napier spent over twenty years searching for a shortcut. In 1614, he finally published his discovery, introducing a system that effectively allowed users to bypass tedious multiplication. His work was so revolutionary that Johannes Kepler, the famous astronomer, used these methods to decode the movements of the planets. Napier also pioneered the use of the decimal point, further simplifying how we look at numbers. For nearly four centuries after his death, his invention remained the primary tool for high-level computation. If you had been a student before the 1970s, you wouldn't have reached for a digital device; instead, you would have mastered the sliding scales of a slide rule or flipped through pages of printed tables, all carrying the legacy of Napier’s quest to make the difficult simple. His genius transformed the speed of human discovery long before electricity existed.

Logarithms Exam Tips

The crucial step to understanding logarithms is the relationships between them and exponents or indices. Once this is understood, the laws of logarithms effectively become a re-formulation of the laws of indices. It is therefore important to know your index laws very thoroughly, and be clear about how they lead to the laws of logarithms.
Definition of logarithms
First off, it is important to be able to find logarithms of numbers to any base without using a calculator, but simply from the definition. For example, the log to base 2 of 8 is 3, the log to base 10 of 0.1 is -1, and the log to base e of e^5 is 5. Here's a reminder of how logs are defined, and some practice to sharpen up your logging. [text]
A lot of exam questions rely on manipulation expressions with logarithms using the laws they obey. The relationship which these laws have with the laws of indices is entirely explained by the fact that finding a logarithm of x to base a is the inverse process to raising a to the power x. Watch a video [text]
Laws of logarithms
Cubics
Understanding the factor theorem is vital for factorising cubic polynomials. Look for integer roots first to facilitate synthetic division or long division. As with factorising quadratics, I prefer a more natural 'working backwards' approach to synthetic methods of long division - see here.[text]
But as long as you are confident in your method, that's fine. To check, multiply any linear term with a quadratic to get a cubic, then use your division method to factorise.
Surds
The key to simplifying surds to to recognise the square factor and take it out of the surd. Text. With fractions, you need to rationalise the denominator. Here's a reminder.[text]
Indices
The laws of indices must be second nature. Be especially careful with fractional and negative exponents, as these often muddled . Remember that a^(-p) = 1/a^p, whereas a^(p/q) = qth root of a^p. A common mistake also is to confuse the multiplication law with the power of a power. So a^p x a^q = a^(p + q) whereas (a^p)^q = a^(pq). A technique to use when solving index equation questions is to change each index to the same base, like here. [text]
Another common method is to write a^(2x) as a^(x^2) as in this problem. [Text]