Chapter 3: Applications of derivatives
Linear approximation and Taylor polynomials
A differentiable function looks like its tangent line close to the point of tangency, looks more like a parabola built from its second derivative, and so on. Exams ask for the estimate, for the polynomial, and, the part most often lost, for a bound on how wrong the estimate can be.
Practice questions
Every question below is original material written for Longhand. Open a solution to read the full working, or answer it yourself to have it counted towards your progress.
- Introductory1 mark · 2 min
Use a linear approximation of at to estimate .
Answer this question yourself - Introductory1 mark · 2 min
The linear approximation of a function about is . What are and ?
Answer this question yourself - Introductory2 marks · 3 min
The third-order Maclaurin polynomial of a function is given below. Find .
Answer this question yourself - Standard2 marks · 3 min
Use a linear approximation to estimate .
Answer this question yourself - Standard2 marks · 4 min
Use a linear approximation to estimate , using the fact that .
Answer this question yourself - Standard3 marks · 4 min
A function has , and . Use the quadratic approximation of centred at to estimate .
Answer this question yourself - Standard3 marks · 5 min
Find the coefficient of in the third-order Maclaurin polynomial of .
Answer this question yourself - Challenging3 marks · 6 min
A function has third derivative . If is approximated by its second-order Maclaurin polynomial , find the best bound on the error that the Taylor remainder formula gives.
Answer this question yourself - Challenging4 marks · 7 min
The equation defines implicitly as a function of near the point . Use the tangent-line approximation at that point to estimate when .
Answer this question yourself - Capstone5 marks · 10 min
Use the second-order Taylor polynomial of about to estimate , and use the Taylor remainder to give a bound on the error of your estimate.
Answer this question yourself
Related topics
The chain rule and logarithms
Compositions, nested rules, the natural logarithm and logarithmic differentiation.
10 questions