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Differentiation - created from Mind Map
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Why? To find the gradient of a curve at a point
How to differentiate?
The gradient of a function has different names
Differentiate dy/dx to get the second order differential
How to find maximum and minimum values of the function
Equivalent to finding the gradient of the tangent to the curve at that point
Gradient of equation is change in y divided by change in x
y-y1=m(x-x1)
m=(y-y1) /(x-x1)
Gradient of a tangent= dy/dx
y=x3
at x =1, y=1
dy/dx = 3x^2
so at x=1, gradient = 3.
Gradient of normal is the negative inverse of m or negative inverse dy/dx
y=x3
at x =1, y=1
dy/dx = 3x^2
so at x=1, gradient = 3.
Normal = - 1/m
So at x=1, y=1 gradient = -1/3
A gradient is the rate of change
Differentiating a polynomial function (one variable)
Chain Rule
Product Rule
Quotient Rule
Natural Logarithm and Exponential functions
Trig Functions
The gradient function
The derived function with respect to x
The differential coefficient with respect to x
The first differential with respect to x
dy/dx
f'(x)
The second order differential has different names
d^2y/dx^2
f''(x)
The second derivative of a function
At maximum and minimum values of f(x), f'(x) = 0.
At maximum value, f''(x) is negative
At minimum value, f''(x) is positive



Informationen
- Beschreibung
- My first mind map. Identifies key concepts of derivatives
- Erstellt von
- ken dekpor · Apr 2020
- Aktualisiert
- 30 Apr 2020
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- Erstellt von Vivienne Holmes · 30 Apr 2020
- Kopiert von ken dekpor · 30 Apr 2020
- Zu Notiz kopiert von ken dekpor · 30 Apr 2020
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