Continuity & Differentiability (DP IB Analysis & Approaches (AA)): Revision Note

Roger B

Written by: Roger B

Reviewed by: Dan Finlay

Updated on

Continuity & differentiability

What does it mean for a function to be continuous at a point?

  • If a function is continuous at a point then the graph of the function does not have any ‘holes’ or any sudden ‘leaps’ or ‘jumps’ at that point

    • Imagine sketching the graph

      • If you can sketch the graph without lifting your pencil from the paper, then the function is continuous at all the points that your sketch goes through

      • But if you would have to lift your pencil off the paper at some point and continue drawing the graph from another point, then the function is not continuous at any such points where the function ‘jumps’

Two continuous graphs, and two discontinuous graphs marked at specific x-values, show continuity concepts in calculus.
  • There are two main ways a function can fail to be continuous at a point:

    • If the function is not defined for a particular value of x then it is not continuous at that value of x

      • For example, space f left parenthesis x right parenthesis equals 1 over x  is not continuous at x = 0

    • If the function is defined for a particular value of x, but then the value of the function ‘jumps’ as x moves away from that x value (in the positive or negative direction), then the function is not continuous at that value of x

      • This type of discontinuity can occur in a piecewise function, for example, where the different pieces of the function’s graph don’t ‘join up’

  • You can use limits to show that a function is continuous at a point

    • Let f(x) be a function defined at x = a, such that f(a) = b

      • If limit as x rightwards arrow a to the power of minus of invisible function application f open parentheses x close parentheses equals b and limit as x rightwards arrow a plus of invisible function application f open parentheses x close parentheses equals b, then f(x) is continuous at x = a

      • If either of those limits is not equal to b, then f(x) is not continuous at x = a

    • This is a slightly more formal way of expressing the ‘you don’t have to lift your pencil from the paper’ idea!

What does it mean for a function to be differentiable at a point?

  • We say that a function f(x) is differentiable at a point with x-coordinate x0, if the derivative f’(x) exists and has a well-defined value f’(x0) at that point

  • To be differentiable at a point a function has to be continuous at that point

    • So if a function is not continuous at a point, then it is also not differentiable at that point

  • But continuity by itself does not guarantee differentiability

    • Differentiability is a stronger condition than continuity

      • If a function is differentiable at a point, then the function is also continuous at that point

      • But a function may be continuous at a point without being differentiable at that point

    • So a function may be continuous everywhere but not differentiable everywhere

  • In addition to being continuous a point, differentiability also requires that the function be smooth at that point

    • ‘Smooth’ means that the graph of the function does not have any ‘corners’ or sudden changes of direction at the point

    • An obvious example of a function that is not smooth at certain points is a modulus function |f(x)| at any values of x where f(x) changes sign from positive to negative

      • At any such point a modulus function will not be differentiable

Two graphs. Left is y = f(x), which is smooth and differentiable. Right is y = |f(x)|, which is continuous, but which is not differentiable at two points.

Examiner Tips and Tricks

On the exam you will not usually be asked to test a function for continuity at a point, though you should be familiar with the basic ideas about continuity outlined above.

You will not be asked to test a function for differentiability at a point. You should however be familiar with the basic ideas about differentiability, and its relationship with continuity, as outlined above. In particular:

differentiable space space rightwards double arrow space space continuous

not space continuous space space rightwards double arrow space space not space differentiable

But those do not automatically work the other way round:

continuous space space up diagonal strike rightwards double arrow space space differentiable

not space differentiable space space up diagonal strike rightwards double arrow space space not space continuous

Worked Example

Consider the function space f defined by

space f left parenthesis x right parenthesis equals open curly brackets table row cell x squared minus 2 x minus 1 comma end cell cell x less than 3 end cell row 2 cell x equals 3 end cell row cell fraction numerator x plus 2 over denominator 2 end fraction comma end cell cell x greater than 3 end cell end table close

a) use limits to show that space f is not continuous at x equals 3.

5-7-1-ib-aa-hl-cont--diff-a-we-solution

b) Hence explain why space f cannot be differentiable at x equals 3.

5-7-1-ib-aa-hl-cont--diff-b-we-solution

You've read 0 of your 5 free revision notes this week

Unlock more, it's free!

Join the 100,000+ Students that ❤️ Save My Exams

the (exam) results speak for themselves:

Roger B

Author: Roger B

Expertise: Maths Content Creator

Roger's teaching experience stretches all the way back to 1992, and in that time he has taught students at all levels between Year 7 and university undergraduate. Having conducted and published postgraduate research into the mathematical theory behind quantum computing, he is more than confident in dealing with mathematics at any level the exam boards might throw at you.

Dan Finlay

Reviewer: Dan Finlay

Expertise: Maths Subject Lead

Dan graduated from the University of Oxford with a First class degree in mathematics. As well as teaching maths for over 8 years, Dan has marked a range of exams for Edexcel, tutored students and taught A Level Accounting. Dan has a keen interest in statistics and probability and their real-life applications.