HCH1: Geometrical Applications of Differentiation Flashcards
1
Q
The gradient function
A
y = f’(x)
2
Q
The sign of the derivative
A
if f’(x) > 0, the function f(x) is increasing
if f’(x)
3
Q
Stationary points
A
f’(x) = 0
4
Q
Turning points
A
- Maximum turning points
f ‘ (x) = 0
f ‘ (x) > 0 immediately before the point
f ‘ (x) 0 immediately after the point
5
Q
Absolute maxima and minima
A
- Greatest value of the function
- Occur either at a maximum/minimum turning point or an endpoint of the domain
- Found by using an inequality provided and subbing values in
6
Q
The second derivative
A
- Derivative of first derivative
- notations: f’‘(x), y’’, d2y/dx2
7
Q
Points of inflection
A
- Any point where curve changes concavity
- y’’ = 0 and y’’ for any value before/after is different
- Horizontal POI if y’ = 0
8
Q
Using the second derivative to find the nature of turning points
A
- If y’’ > 0 at the stationary point, curve is concave up, and turning point is minimum
- If y’’
9
Q
When both the first and second derivatives = 0
A
- If the curve changes concavity at the SP it will be a horizontal point of inflection
- If the curve is concave up immediately before and after, it will be a minimum tp
- If the curve is concave down immediately before and after, it will be a maximum tp
10
Q
Steps for curve sketching
A
- Find where curve cuts axes
- Find stationary points (using y’ = 0) and determine their nature (using y’’ and values obtained for x value of sp)
- Find any POI (using y’’ = 0) and determine their nature (using y’’ and x value obtained for x value of POI)
- Find any symmetry properties (find halfway between x points)
- Consider behaviour of curve for very large values of x (+and -)
- Consider set of values for which curve is defined and if there are any asymptotes
11
Q
Equations of tangents to curves
A
- Use first derivative to find gradient
- Use y-y1 = m(x-x1) equation to solve
12
Q
Equations of normals
A
- Use first derivative to find gradient of tangent
- Use m1m2 = -1
- Use y-y1 = m(x-x1) equation to solve
13
Q
Primitive functions
A
- Opposite of differentiation
- raise power of value and then divide by new value, + C to the end