A Levels / Maths
Differentiation
Learn A-Level differentiation from first principles, implicit and parametric differentiation, chain, product and quotient rules, second derivatives, trigonometric differentiation and applications of derivatives.
Differentiation measures the instantaneous rate of change of a function and gives the gradient of the tangent to a curve at a particular point.
Differentiation from first principles uses the limit definition and can be used to derive derivatives of small positive integer powers of .
The first principles formula explains why differentiation gives a gradient by considering the limiting gradient of a secant line as two points on a curve move together.
A second derivative, written , describes how the gradient itself changes and can be used to study concavity, convexity and points of inflection.
Stationary points occur where , and the sign of the first or second derivative can be used to classify local maxima and minima.
Equations of tangents use the gradient at a point, while the gradient of a normal is the negative reciprocal of the tangent gradient when the tangent is not horizontal or vertical.
The product rule is used when differentiating a product of two functions and is given by .
The quotient rule differentiates a quotient of two functions using .
The chain rule is used for composite functions and can be written as , making differentiation using chain rule essential for expressions containing functions within functions.
Implicit differentiation is used when and are related by an equation that is not written explicitly as ; terms containing must be differentiated using the chain rule.
Parametric equations define and in terms of a parameter, and parametric differentiation uses when .
The derivative of is for , while the derivative of is , making exponential and logarithmic functions especially important in calculus.
Trig differentiation includes , and the derivative of tanx, .
Rational and fractional powers can be differentiated using the power rule , which also gives the derivative of by writing it as .
Differentiation can be applied to increasing and decreasing functions, maxima and minima, connected rates of change, inverse functions, kinematics, simple differential equations and mathematical models of growth.