Calculus of hyperbolic functionsEdexcel A-Level Further Maths: Revision notes
Section 1
Differentiating hyperbolic functions
Differentiate the definitions term by term, using : Unlike , differentiating gives , with no minus sign. The result for follows from the quotient rule with .
Writing by analogy with .
Section 2
Chain, product and quotient rules
The usual rules apply with these derivatives.
- Chain rule: , and .
- Product rule: . Exact values at use : , . So the gradient of at is .
Powers such as are : use the chain rule to get .
Section 3
Integrating hyperbolic functions
For a linear argument, divide by the coefficient: and . Remember the constant for an indefinite integral. For a definite integral, give the exact value using or where possible.
Multiplying by instead of dividing: , not .
Section 4
Reverse chain rule
Look for an integrand of the form , or a function times its derivative, and recognise it as the result of the chain rule. Example: , so Always differentiate your answer to check it. Similarly .
Differentiate your guess. If you are out by a constant factor, adjust your answer by dividing by it.
Section 5
Stationary points, tangents and areas
- Stationary points: solve . If this gives with , there are no stationary points.
- Tangent at a point: find the gradient from the derivative, then .
- Areas: integrate between limits, checking the curve is on one side of the axis. Find where a curve meets the -axis by writing and as exponentials. Example: has , which is never because is impossible; the area from to is .
Dividing by and then forgetting to use the range of .
That's the notes covered.
Carry on to the next subtopic.
Exam questions on Calculus of hyperbolic functions
- Let .Find the exact gradient of the curve at the point where .2 marks
- The curve has equation .Find the equation of the tangent to at the origin.2 marks
- The curve has equation .Find .3 marks
Written by the Exaim team, led by Shaun Daswani (Head of Upper Secondary, Improve ME Institute; MSc Financial Mathematics, Imperial College London; BSc, UCL) and Jason Daswani (operational lead, Improve ME Institute; LSE).