Derivative Calculator
Enter a function, choose the variable, and optionally evaluate the slope at a specific point.
x^2, sin(x), ln(x), exp(x), sqrt(x).f(value) and f'(value).What a Derivative Tells You
A derivative measures how quickly one quantity changes with respect to another. In plain language, it is the slope of a curve at a single point. If you are looking at position over time, the derivative gives velocity. If you are looking at cost over production volume, the derivative gives marginal cost.
That is why derivatives appear everywhere: physics, economics, optimization, machine learning, business forecasting, and engineering design. They turn a static formula into a dynamic story about change.
How to Use This Calculator
1) Enter your function
Type a valid expression such as x^3 + 2*x, sin(x), or ln(x).
Use the multiplication symbol * when needed.
2) Choose the variable
Most users differentiate with respect to x, but you can use t, y, or another symbol if your expression uses it.
3) Optionally evaluate at a point
Enter a numeric value to find the instantaneous slope there. This is useful for tangent line problems and quick checks in optimization tasks.
Common Derivative Rules (Quick Reference)
- Power Rule: d/dx[xn] = n·xn-1
- Constant Rule: d/dx[c] = 0
- Sum Rule: d/dx[f + g] = f' + g'
- Product Rule: d/dx[fg] = f'g + fg'
- Quotient Rule: d/dx[f/g] = (f'g - fg') / g2
- Chain Rule: d/dx[f(g(x))] = f'(g(x))·g'(x)
Useful Function Syntax
- Trigonometric:
sin(x),cos(x),tan(x) - Inverse trig:
asin(x),acos(x),atan(x) - Logarithms:
ln(x),log(x, 10) - Exponential:
exp(x),2^x - Roots:
sqrt(x)
Worked Examples
Example A: Polynomial
For f(x) = x^3 + 2x - 5, the derivative is f'(x) = 3x^2 + 2.
At x = 2, slope is f'(2) = 14.
Example B: Trigonometric Product
For f(x) = sin(x)cos(x), apply the product rule:
f'(x) = cos(x)cos(x) - sin(x)sin(x), which also simplifies to cos(2x).
Example C: Exponential over Quadratic
For f(x) = exp(2x)/(1 + x^2), use quotient + chain rules.
This is exactly the type of expression where a calculator saves time and reduces algebra mistakes.
Practical Applications
- Business: Optimize revenue, cost, and profit.
- Data science: Understand gradient-based learning methods.
- Physics: Convert position to velocity and acceleration.
- Finance: Approximate sensitivity and local rates of change.
- Engineering: Analyze system response and control behavior.
Common Mistakes to Avoid
- Forgetting parentheses, e.g., writing
sin x^2instead ofsin(x^2). - Mixing variable names between the expression and derivative variable field.
- Confusing
^(power) with*(multiplication). - Evaluating at points outside a function’s domain (such as
ln(-1)).
Final Thoughts
Derivatives are a foundational tool for understanding change. Once you can compute and interpret them quickly, many advanced topics become easier: optimization, differential equations, and machine learning among them.
Use the calculator above to experiment with your own functions and build intuition through practice.