A gradient function, denoted as or , represents the rate of change of the original function at any given point .
The -coordinate on the graph of is exactly equal to the slope of the tangent to the graph of at that same -value.
If is a smooth, continuous curve, its derivative will also typically be a smooth curve, reflecting the continuous change in steepness along the original path.
Stationary points (local maxima, local minima, or points of inflection) on the graph of occur where the gradient is zero.
Consequently, every stationary point on corresponds to an x-intercept (root) on the graph of .
When has a local maximum, crosses the -axis from positive to negative; for a local minimum, it crosses from negative to positive.
On intervals where is increasing, the gradient is positive (), meaning the graph of must be located above the x-axis.
On intervals where is decreasing, the gradient is negative (), meaning the graph of must be located below the x-axis.
The steeper the original curve, the further the gradient function is from the -axis (higher for positive slopes, lower for negative slopes).
A point of inflection on is where the curve changes concavity and the gradient reaches a local maximum or minimum value.
This implies that a point of inflection on corresponds to a turning point (peak or valley) on the graph of .
If the curve is getting steeper, is moving away from the -axis; if it is flattening out, is moving toward the -axis.
Vertical Asymptotes: If has a vertical asymptote at , the gradient function will almost always have a vertical asymptote at the same -coordinate.
Horizontal Asymptotes: If approaches a horizontal asymptote as , its gradient is approaching zero. Therefore, will have a horizontal asymptote at y = 0.
It is vital to check the sign of the gradient near asymptotes to determine if approaches or .
Consistency Check: Always verify that the regions where is above/below the axis match the increasing/decreasing behavior of .
Avoid Intercept Confusion: A common mistake is thinking the -intercepts of matter for ; they do not. Only the turning points of determine the intercepts of .
Degree Reduction: For polynomial-like shapes, remember that the derivative is one degree lower (e.g., a cubic results in a quadratic ).
Labeling: In exams, clearly mark the -coordinates of turning points from the original graph as the roots on your new gradient sketch.