Sketching Gradient Functions (Edexcel A-Level Mathematics): Revision Notes
📚 Revision Notes
7.2.5 Sketching Gradient Functions
Sketching gradient functions involves drawing the graph of the derivative of a given function. The gradient function, or derivative, represents the slope of the original function at each point. Understanding how to sketch the gradient function helps in visualizing how the rate of change of a function behaves across its domain.
1. Understanding the Relationship Between a Function and Its Derivative:
Given a function , its derivative provides the gradient (slope) of the function at each point . The key to sketching the gradient function is understanding how the behaviour of translates into :
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- Where is increasing: (positive slope). The graph of lies above the -axis.
- Where is decreasing: (negative slope). The graph of lies below the -axis.
- Where has a stationary point: The graph of crosses the -axis.
- A local maximum of corresponds to crossing the -axis from positive to negative.
- A local minimum of corresponds to crossing the -axis from negative to positive.
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- Where is concave up: is increasing.
- Where is concave down: is decreasing.
2. Steps to Sketch the Gradient Function:
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Step 1: Analyse the Function
- Identify key features of the original function
- Stationary points: Where (local maxima, minima, or points of inflection).
- Intervals where is increasing or decreasing: Identify where is positive or negative.
- Concavity: Determine where is concave up or concave down to understand the shape of .
Step 2: Determine the Signs of
- Positive slope: Sketch above the x-axis where is increasing.
- Negative slope: Sketch below the x-axis where is decreasing.
- Zero slope: Mark points where has a stationary point (crosses the -axis).
Step 3: Draw the General Shape of
- Crossing the -axis: At each stationary point of , the gradient function will cross the -axis.
- Curvature: Consider the concavity of :
- If is concave up (curving upwards), is increasing.
- If is concave down (curving downwards), is decreasing.
- Asymptotic behaviour: If has asymptotes or tends to infinity, consider how behaves as approaches those values.
Step 4: Sketch the Gradient Function
- Combine the information about where is positive, negative, and zero.
- Draw the curve of smoothly, reflecting the nature of the slopes at various points of
3. Examples of Sketching Gradient Functions:
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Example 1: Sketch the gradient function of
- Step 1: Analyse
- is a quadratic function, so its graph is a parabola.
- Find the derivative:
- The stationary point occurs where :
- At
- Step 2: Sketch :
- is a linear function with a slope of , crossing the -axis at
- For (decreasing function).
- For (increasing function).
- The graph of is a straight line with a positive slope, crossing the -axis at .
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Example 2: Sketch the gradient function of
- Step 1: Analyse :
- is a cubic function.
- Find the derivative:
- Find the stationary points by solving :
- These roots give the points where the gradient function crosses the -axis.
- Step 2: Sketch :
- The quadratic function is a parabola opening upwards.
- The points where crosses the x-axis are the stationary points of
- The graph of will be a parabola that crosses the -axis at these roots and opens upwards.
4. Important Considerations:
- Sign Changes: When sketching , pay close attention to where the sign changes. These indicate transitions between increasing and decreasing behaviour in the original function.
- Smoothness: The gradient function should be sketched as a smooth curve without sharp corners, reflecting the smoothness of the original function.
- Points of Inflection: At inflection points of will typically reach a minimum or maximum but will not cross the x-axis.
Summary:
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- Sketching gradient functions involves translating the behaviour of the original function into a graph of its derivative
- By analysing where is increasing, decreasing, and where it has stationary points, you can determine the general shape of
- Understanding how the original function behaves allows you to accurately sketch the derivative and gain insights into the function's overall behaviour.