Define a function f(x) to be differentiable at x=a if \displaystyle \lim_\limits{h \to 0}\frac{f(a+h)-f(a)}{h} exists, that is if there is a non-vertical tangent to the curve at the point P(a,f(a)) and recognise that if f(x) is differentiable at x=a then it is continuous at x=a
Identify any values of x where a function is continuous, but not differentiable, given either the equation of the function or its graph
Use repeated differentiation to find second derivatives of a function y=f(x), denoting them by fβ²β²(x) or dx2d2yβ or yβ²β²
Analyse the stationary points of a function by testing values for fβ²(x), then classify the stationary points as local minima or local maxima where gradients change around the point, or horizontal points of inflection where gradients have the same sign on both sides of the point
Interpret the second derivative yβ²β² as the gradient function of the first derivative yβ², and deduce that if yβ²β²>0 the curve is concave up and if yβ²β²<0 the curve is concave down
Define a point of inflection on a curve as a point where the concavity changes
Analyse the value of fβ²β²(x) either side of the roots of fβ²β²(x)=0, and use the resulting concavities to identify which zeroes of fβ²β²(x) are points of inflection
Use the second derivative to classify a stationary point as a local maximum, local minimum or a horizontal point of inflection
Graph a function by determining local maxima and minima and points of inflection, horizontal and non-horizontal, considering any even or odd symmetry, the domain, any vertical asymptotes or other discontinuities, and where applicable, the behaviour of a function as xβΒ±β
Graph y=fβ²(x) and y=fβ²β²(x) for a function y=f(x), given only a graph of y=f(x)
Optimisation
Define a global maximum of a function f(x) to be a point P(a,f(a)) on the graph where f(x)β€f(a), for all x in the domain, and define a global minimum similarly
Examine whether any discontinuities or endpoints of the domain on which f(x) is being considered are points of maxima or minima
Model optimisation problems in a variety of contexts by defining variables, noting domain restrictions if necessary, and establishing functions to represent the relationship between variables
Solve optimisation problems by using calculus to find local and global maxima and minima of differentiable functions, checking discontinuities of fβ²(x) and endpoints of the domain if applicable
Formulate conclusions to optimisation problems by evaluating solutions given the constraints of the domain
Rates of change
Use differentiation to find and interpret the first and second derivatives, dtdQβ and dt2d2Qβ, in practical problems where a quantity Q is a function of time t
Use integration to solve practical problems on the rate of change of a quantity Q, where dtdQβ or dt2d2Qβ is given as a function of time t, together with sufficient initial conditions
Describe and examine the graphs of practical situations where the rate of change of a quantity is proportional to the quantity
Explain that if the rate of change of a positive quantity Q over time t is proportional to the size of Q, then this may be represented by dtdQβ=kQ where k is the constant of proportionality, and if k>0 the quantity Q is increasing at a rate proportional to the value of Q at time t, while if k<0 the quantity Q is decreasing at a rate proportional to the value of Q at time t
Verify by substitution that the function Q=Aekt satisfies the relationship dtdQβ=kQ with A being the initial value of Q
Recognise that the equation dtdQβ=kQ where Q>0, and its solution Q=Aekt represent exponential growth when k>0 and exponential decay when k<0
Graph the function Q=Aekt, where k>0 and k<0 and A>0 and A<0, with and without graphing applications, and identify any asymptotes
Model and solve growth and decay problems in various contexts using dtdQβ=kQ, Q=Aekt and the graph of Q=Aekt for tβ₯0, and justify conclusions in the context of the problem
Determine the velocity and acceleration of a particle moving in a straight line given its displacement from a point as a function of time, and use the notation dt2d2xβ or xΒ¨ to represent acceleration
Solve problems relating to the motion of a particle moving in a straight line, using both differentiation and integration to connect the concepts of displacement, velocity and acceleration