Differentiate the Function Calculator
Enter a function of x, choose derivative order, and optionally evaluate the derivative at a specific point.
Try: polynomial · product rule · chain rule · quotient form
How to use this calculator
This tool computes symbolic derivatives (exact formulas) and can also evaluate the derivative at a point. It is useful for calculus homework, quick verification, and understanding how functions change.
- Step 1: Enter a function in terms of
x. - Step 2: Choose derivative order (1 for first derivative, 2 for second derivative, etc.).
- Step 3: Optionally enter an
x-value to get a numeric slope value. - Step 4: Click Differentiate.
Input format and supported syntax
Recommended function syntax
- Use
^for powers:x^5 - Use explicit multiplication:
3*x,x*sin(x) - Use parentheses for clarity:
(x^2+1)/(x-3) - You can use
ln(...)orlog(...)for natural log - Common functions:
sin,cos,tan,exp,sqrt,abs
Examples you can paste
x^3 + 2*x - 9sin(x)^2 + cos(x)^2e^x * ln(x+1)sqrt(x^2+4)
Why derivatives matter
Derivatives measure rate of change. In geometry, the derivative gives slope of the tangent line. In physics, derivatives describe velocity and acceleration. In economics, derivatives model marginal cost and marginal revenue. In machine learning, gradients are derivatives that drive optimization.
Core differentiation rules (quick reference)
Power rule
If f(x)=x^n, then f'(x)=n*x^(n-1).
Linearity
The derivative of a sum is the sum of derivatives, and constants factor out.
Product rule
If f(x)=u(x)v(x), then f'(x)=u'(x)v(x)+u(x)v'(x).
Quotient rule
If f(x)=u(x)/v(x), then f'(x)=(u'v-uv')/v^2.
Chain rule
If f(x)=g(h(x)), then f'(x)=g'(h(x))*h'(x). This is essential for nested functions like sin(x^2) or ln(3x+1).
Tips for better results
- Use parentheses generously.
- If an expression fails, rewrite it with explicit multiplication.
- Check domain restrictions (for example,
ln(x)requiresx > 0). - Use higher derivative orders to inspect curvature and inflection behavior.
Final note
This calculator is designed to be practical and fast for common symbolic differentiation tasks. It is a great companion for algebra and calculus work when you want both an exact derivative formula and a numerical derivative value at a specific point.