d/dx Derivative Calculator
Calculate derivatives analytically and numerically. Find the derivative formula, evaluate at a point, and understand slope and tangent lines.
Derivative Formula
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Derivative f'(x)
Evaluate Derivative at a Point
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f(x) value
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f'(x) value
Tangent Line at a Point
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Tangent Line Equation
Differentiation Rules Reference
Power Rule: d/dx [xⁿ] = n·xⁿ⁻¹
Chain Rule: d/dx [f(g(x))] = f'(g(x)) · g'(x)
Product Rule: d/dx [u·v] = u'v + uv'
Quotient Rule: d/dx [u/v] = (u'v − uv') / v²
d/dx [sin x] = cos x
d/dx [cos x] = −sin x
d/dx [eˣ] = eˣ
d/dx [ln x] = 1/x
Numerical Differentiation
When exact formulas aren't available, use: f'(x) ≈ [f(x+h) − f(x−h)] / (2h) where h is a small number like 0.0001.
How the Derivative Calculator Works
How Derivatives Work
A derivative measures the instantaneous rate of change of a function at a specific point. It represents the slope of the tangent line to the function’s graph at that point.
Mathematical Formulas:
Definition (Limit):
f'(x) = lim[h→0] [f(x+h) – f(x)] / h
Fundamental definition of derivative
f'(x) = lim[h→0] [f(x+h) – f(x)] / h
Fundamental definition of derivative
Power Rule:
If f(x) = xⁿ, then f'(x) = n·xⁿ⁻¹
Most common differentiation rule
If f(x) = xⁿ, then f'(x) = n·xⁿ⁻¹
Most common differentiation rule
Numerical Approximation:
f'(x) ≈ [f(x+h) – f(x-h)] / (2h)
Central difference method
f'(x) ≈ [f(x+h) – f(x-h)] / (2h)
Central difference method
Real-World Applications:
- Physics: Velocity (derivative of position), acceleration (derivative of velocity)
- Economics: Marginal cost, marginal revenue, elasticity of demand
- Engineering: Rate of heat transfer, stress analysis, optimization
- Biology: Population growth rates, reaction rates in biochemistry
- Finance: Option pricing models, risk analysis, portfolio optimization
Usage Recommendations:
- Use analytical method for exact results with simple functions
- Choose numerical method for complex functions or when exact form is unknown
- For optimization problems, find where derivative equals zero (critical points)
- Use second derivative test to determine if critical points are maxima or minima
- For numerical methods, use smaller step sizes for higher accuracy
