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Overview 

 

  • Gradient Function 

  • Tangent and Normal Line of a Curve 

  • Second Derivative 

  • Minimum and Maximum Points 

  • Minimum and Maximum of Problems 

 

 

Gradient Function  

 

 What is the gradient function: 

 

  • The gradient function gives the gradient of a curve at a specific point on a curve 

  • It is represented as: 

 

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Finding the gradient function of a curve: 

 

  • In order to find the gradient function we need differentiate the curve equations 

  • To do this we multiply the coefficient by the power and minus 1 from the power: 

 

 

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  • For example: 

 

 

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Practice Questions: 

 

 

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Solutions: 

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Tangent and Normal Line of a Curve 

 

 

Finding tangent lines to curves: 

 

  • Using the gradient function we can the gradient of the any point on a curve 

  • This allows gives the gradient of the tangent at this point and we can therefore find the equation of the line 

  • Let's consider the question: 

 

 

 

  • In order to find the gradient of the tangent at (-1 , 5), we need to find the gradient function: 

 

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  • Now we need to find the gradient at the point (-1 , 5) 

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  • Therefore the gradient of the tangent is –7 

  • Now we can find the equation of the tangent using the point (-1 , 5) and the gradient: 

 

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  • Therefore, the tangent equation is: 

 

 

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Finding the normal lines to curves: 

 

  • Here we need to find the gradient at the specific point on a curve 

  • Then we need to find the negative reciprocal of the gradient as the normal line is perpendicular to the curve 

 

 

 

  • In order to find the gradient of the tangent at (3, 9), we need to find the gradient function: 

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  • Now we need to find the gradient at the point (3 , 9): 

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  • Now we need the negative reciprocal

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  • Therefore the gradient of the tangent is –1/6 

  • Now we can find the equation of the tangent using the point (3 , 9) and the gradient: 

 

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  • Therefore, the tangent equation is: 

 

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Second Derivative 

 

What is the second derivative: 

 

  • This is a function that measures the rate of change of gradient 

  • It is represented as: 

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How to find the second derivative of a curve: 

 

  • We need to differentiate the curve equation twice 

 

 

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Practice Question: 

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Solutions: 

 

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Minimum and Maximum Points 

 

 

What is a minimum point: 

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What is a maximum point: 

 

 

 

 

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What is a point of inflection 

 

 

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How to find the minimum or maximum points on a graph: 

 

  • We need to find the gradient function of the curve  

  • Maximum or minimum points are stationary, which is when the gradient is 0 

  • So we then let our gradient function equal 0 

  • For example: 

 

 

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  • We start by finding the gradient function 

 

 

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  • We then set it equal to zero and solve 

 

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  • Therefore the x coordinate is 2  

 

 

How can we prove that a stationary point is minimum or maximum or point of inflection: 

 

  • We can do this by using the second derivative 

  • If the second derivative is greater than 0 then it is a minimum point  

  • If the second derivative is equal to 0 then is a point of inflection 

  • If the second derivative is less that 0 then it is a maximum point 

  • Consider the curve: 

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  • Find the stationary point of the graph 

 

 

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  • Now we need to find the second derivative at x = 0 

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  • Therefore as our second derivative equals 0, the nature of the stationary point is that it is a point of inflection 

 

 

Practice Question  

 

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Solutions: 

 

 

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Minimum and Maximum of Problems 

 

How to find maximum and minimums of problems: 

 

  • This is just the same before but with no graph: 

  • For example 

 

 

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  • We need to start by differentiating this function in terms of V and x: 

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  • As we are looking for minimum velocity we let the rate of change of V equal 0 and solve for x: 

 

 

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  • As x > 0, we know that x = +9/7 

  • We therefore plug in the value of x and find the minimum value of V: 

 

 

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Practice Question: 

 

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Solutions: 

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Gradient Function
General Formula for gradient function
Gradient Function Solution
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Solution
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Equation
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Gradient Function
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Negative Reciprocal
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Second Derivative
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Graph
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Gradient Function
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Cubic
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Rate of change function
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Rate of change question
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