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Second Order Derivatives

Exam code: 4037
Written by: Ashika|Reviewed by: Caroline Carroll|Updated 2 July 2026

Second Order Derivativesvideo

Second Order Derivatives

Second order derivatives

What is the second order derivative of a function?

  • If you differentiate the derivative of a function (i.e. differentiate the function a second time) you get the second order derivative of the function

    • The second order derivative can be referred to simply as the second derivative

  • We can write the second derivative as d2ydx2{"language":"en","fontFamily":"Times New Roman","fontSize":"18","autoformat":true}

  • Note the position of the powers of 2

    • differentiating twice (so d2{"language":"en","fontFamily":"Times New Roman","fontSize":"18"}) with respect to x{"language":"en","fontFamily":"Times New Roman","fontSize":"18"} twice (so x2{"language":"en","fontFamily":"Times New Roman","fontSize":"18"})

  • A first derivative is the rate of change of a function (the gradient)

    • a second order derivative is the rate of change of the rate of change of a function

      • i.e. the rate of change of the function’s gradient

    • A positive second derivative means the gradient is increasing

      • For instance in a u-shape, the gradient is changing from negative to positive

    • A negative second derivative means the gradient is decreasing

      • For instance in an n-shape, the gradient is changing from positive to negative

  • Second order derivatives can be used to test whether a point is a minimum or maximum

  • To find a second derivative, you simply differentiate twice!

    • It is important to write down your working with the correct notation, so you know what each expression means

    • For example

      • y=5x3+10x2{"language":"en","fontFamily":"Times New Roman","fontSize":"18","autoformat":true}

      • dydx=15x2+20x{"language":"en","fontFamily":"Times New Roman","fontSize":"18","autoformat":true}

      • d2ydx2=30x+20{"language":"en","fontFamily":"Times New Roman","fontSize":"18","autoformat":true}

Stationary Points & Turning Pointsvideo

Stationary Points & Turning Points

Stationary points & turning points

What are stationary points?

  • A stationary point is any point on a curve where the gradient is zero

  • To find stationary points of a curve

Step 1 Find the first derivative dydx{"language":"en","fontFamily":"Times New Roman","fontSize":"18","autoformat":true}

Step 2 Solve dydx=0{"language":"en","fontFamily":"Times New Roman","fontSize":"18","autoformat":true} to find the x{"language":"en","fontFamily":"Times New Roman","fontSize":"18","autoformat":true}-coordinates of any stationary points

Step 3 Substitute those x{"language":"en","fontFamily":"Times New Roman","fontSize":"18","autoformat":true}-coordinates into the equation of the curve to find the corresponding y{"language":"en","fontFamily":"Times New Roman","fontSize":"18","autoformat":true}-coordinates

  • A stationary point may be either a local minimum, a local maximum, or a point of inflection

 

A stationary point is a local minimum, local maximum or a point of inflection

Stationary points on quadratics

  • The graph of a quadratic function only has a single stationary point

  • For a positive quadratic this is the minimum; for a negative quadratic it is the maximum

    • No need to talk about 'local' here, as it is the overall minimum/maximum for the whole curve

Stationary points on quadratic graphs
  • The y value/coordinate of the stationary point is therefore the minimum or maximum value of the quadratic function

  • For quadratics especially, minimum and maximum points are often referred to as turning points

Testing for Local Minimum & Maximum Points

Testing for local minimum & maximum points

How do I determine the nature of stationary points on a curve?

  • For a graph there are two ways to determine the nature of its stationary points 

  • Method A

    • Compare the signs of the first derivative, dydx{"language":"en","fontFamily":"Times New Roman","fontSize":"18","autoformat":true}, (positive or negative) a little bit to either side of the stationary point

      • e.g. if the stationary point is at x=2 then you could find the gradient at x=1.9 and x=2.1

  • Compare the signs (positive or negative) of the derivatives on the left and right of the stationary point

    • If the derivatives are negative on the left and positive on the right, the point is a local minimum (a u-shape)

    • If the derivatives are positive on the left and negative on the right, the point is a local maximum (an n-shape)

The gradient of a curve either side of a stationary point

 

  • Method B

    • Look at the sign of the second derivative (positive or negative) at the stationary point

    • Find the second derivative d2ydx2{"language":"en","fontFamily":"Times New Roman","fontSize":"18","autoformat":true}

    • For each stationary point find the value of d2ydx2{"language":"en","fontFamily":"Times New Roman","fontSize":"18","autoformat":true} at the stationary point

      • i.e. substitute the x-coordinate of the stationary point into d2ydx2{"language":"en","fontFamily":"Times New Roman","fontSize":"18","autoformat":true} and evaluate

  • If d2ydx2{"language":"en","fontFamily":"Times New Roman","fontSize":"18","autoformat":true} is positive then the point is a local minimum

    • If d2ydx2{"language":"en","fontFamily":"Times New Roman","fontSize":"18","autoformat":true} is negative then the point is a local maximum

    • If d2ydx2{"language":"en","fontFamily":"Times New Roman","fontSize":"18","autoformat":true} is zero then the point could be a local minimum, a local maximum OR a point of inflection

      • In this case you will need to use method A instead