Derivative & Tangent Line Calculator
Compute instantaneous rates of change, slopes, second derivatives, and tangent lines.
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How to Use the Derivative Calculator: First & Second Derivatives
- 1Select the function type (polynomial, trigonometric sin/cos, or exponential).
- 2Configure the multiplier coefficient and power exponent.
- 3Enter the evaluation point x.
- 4Read the instantaneous slope f'(x), concavity f''(x), and full tangent equation.
Formula & How It Works
Central Difference Numerical Differentiation
Calculates symmetric difference quotients with second-order accuracy O(h²).
Worked Examples
Derivative of f(x) = x² at x = 3
Input: f(x) = x², x = 3
Explanation: Analytically d/dx(x²) = 2x; at x=3, 2(3) = 6; tangent passes through (3, 9).
Frequently Asked Questions
What does the first derivative represent geometrically?▼
The first derivative represents the exact slope of the tangent line touching the curve at that specific coordinate.
What does the second derivative tell you?▼
The second derivative indicates the concavity of the function: positive values indicate concave up (minimum), while negative values indicate concave down.
How is the tangent line equation derived?▼
Using point-slope form y - y₁ = m(x - x₁), where m = f'(x₁) and y₁ = f(x₁).
What step size h is used for central differences?▼
We utilize h = 10⁻⁵, balancing truncation error and floating-point cancellation error.
Quick Reference & Conversion Table
| Function f(x) | First Derivative f'(x) | Second Derivative f''(x) | Behavior |
|---|---|---|---|
| x² | 2x | 2 | Parabolic concavity |
| x³ | 3x² | 6x | Inflection at origin |
| sin(x) | cos(x) | -sin(x) | Periodic oscillation |
| e^x | e^x | e^x | Self-replicating slope |
⚠️ Common Pitfalls to Avoid
- •Evaluating derivatives at points where the function has sharp corners or vertical asymptotes.
- •Confusing the derivative value (slope) with the original function's y-value.
💡 Practical Real-World Uses
- •Determining instantaneous velocity and acceleration from position functions.
- •Locating local profit maxima and cost minima in microeconomic modeling.
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