#1.06a
Know and use the function \(a^x\) and its graph, where \(a\) is positive.
Know and use the function \(e^x\) and its graph.
Examples may include the comparison of two population models or models in a biological or financial context. The link with geometric sequences may also be made.
#1.06b
Know that the gradient of \(e^{kx}\) is equal to \(ke^{kx}\) and hence understand why the exponential model is suitable in many applications.
See 1.07j for explicit differentiation of \(e^x\).
#1.06c
Know and use the definition of \(\log_a{x}\) (for \(x > 0\)) as the inverse of \(a^x\) (for all \(x\)), where \(a\) is positive.
Learners should be able to convert from index to logarithmic form and vice versa as \(a=b^c \iff c=\log_b{a} \).
The values \(\log_a{a} = 1\) and \(\log_a{1} = 0\) should be known.
#1.06e
Know and use \(\ln{x}\) as the inverse function of \(e^x\).
e.g. In solving equations involving logarithms or exponentials.
The values \(\ln{e} = 1\) and \(\ln{1} = 0\) should be known.
#1.06f
Understand and be able to use the laws of logarithms:
#1.06g
Be able to solve equations of the form \(a^x = b\) for \(a > 0\).
Includes solving equations which can be reduced to this form such as \(2^x = 3^{2x-1}\), either by reduction to the form \(a^x = b\) or by taking logarithms of both sides.
#1.06h
Be able to use logarithmic graphs to estimate parameters in relationships of the form \(y = ax^n\) and \(y = kb^x\), given data for \(x\) and \(y\).
Learners should be able to reduce equations of these forms to a linear form and hence estimate values of \(a\) and \(n\), or \(k\) and \(b\) by drawing graphs using given experimental data and using appropriate calculator functions.
#1.06i
Understand and be able to use exponential growth and decay and use the exponential function in modelling.
Examples may include the use of \(e\) in continuous compound interest, radioactive decay, drug concentration decay and exponential growth as a model for population growth. Includes consideration of limitations and refinements of exponential models.