Differentiation or derivative
Differentiation Rules and Concepts
Gradient of a Curve
The gradient of a curve is represented as:
This represents the rate of change of the curve \( y = f(x) \).
The Four Rules of Differentiation
1. Power Rule
If \( y = x^n \), then:
2. Scalar Multiple Rule
If \( y = kf(x) \), where \( k \) is a constant, then:
3. Addition/Subtraction Rule
If \( y = f(x) ± g(x) \), then:
4. Chain Rule
If \( y = f(u) \) and \( u = g(x) \), then:
Tangents and Normals
If the value of \( dy/dx \) at the point \( (x_1, y_1) \) is \( m \), then:
- The equation of the tangent at that point is given by:
- The equation of the normal at that point is given by:
Second Derivatives
The second derivative is defined as:
Differentiation Advanced Concepts
Product Rule
If \( y = u(x) \cdot v(x) \), then the derivative is:
Quotient Rule
If \( y = \frac{u(x)}{v(x)} \), then the derivative is:
Implicit Differentiation
When a function is not explicitly solved for \( y \), differentiation is performed with respect to \( x \), treating \( y \) as a function of \( x \). For example:
- Given \( x^2 + y^2 = r^2 \), differentiate both sides with respect to \( x \):
- Solve for \( dy/dx \):
Higher-Order Derivatives
Higher-order derivatives are obtained by differentiating the first derivative. For example:
- The second derivative is:
- The third derivative is: