Derivation
Derivation in mathematics refers to the process of finding the derivative of a function. The derivative measures how a function changes as its input changes. Derivation is a fundamental tool in calculus and is used to solve problems in a wide range of fields including physics, engineering, economics, and biology.
Definition[edit | edit source]
The derivative of a function \( f \) at a point \( x \) is defined as the limit: \[ f'(x) = \lim_Template:H \to 0 \fracTemplate:F(x+h) - f(x){h} \] if this limit exists. The function \( f' \) is called the derivative of \( f \).
Notation[edit | edit source]
Several notations are commonly used to denote the derivative of a function. These include:
- Leibniz notation: \(\frac{df}{dx}\)
- Lagrange notation: \(f'(x)\)
- Newton notation: \(\dot{f}\) (used primarily in physics)
- Euler notation: \(D_x f\)
Rules of Derivation[edit | edit source]
There are several important rules for finding derivatives, including:
- The power rule: \(\frac{d}{dx} x^n = nx^{n-1}\)
- The product rule: \(\frac{d}{dx} [u(x)v(x)] = u'(x)v(x) + u(x)v'(x)\)
- The quotient rule: \(\frac{d}{dx} \left[\frac{u(x)}{v(x)}\right] = \frac{u'(x)v(x) - u(x)v'(x)}{[v(x)]^2}\)
- The chain rule: \(\frac{d}{dx} f(g(x)) = f'(g(x))g'(x)\)
Applications[edit | edit source]
Derivatives have numerous applications in various fields:
- In physics, derivatives describe the rate of change of physical quantities, such as velocity and acceleration.
- In economics, derivatives are used to find marginal cost and marginal revenue.
- In biology, derivatives can model population growth rates and other dynamic processes.
Higher-Order Derivatives[edit | edit source]
The second derivative of a function is the derivative of the derivative, denoted as \( f(x) \) or \(\frac{d^2f}{dx^2}\). Higher-order derivatives can be found similarly and are used in various applications, such as in the study of concavity and inflection points.
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