Build tangent lines for curves near chosen points. Compare estimates, exact values, and errors instantly. Learn local behavior through clean inputs and structured outputs.
Core linearization rule: L(x) = f(a) + f′(a)(x − a)
This calculator computes the function value and derivative at the chosen base point a. It then builds the tangent line and uses that line to estimate the function at the target point x.
Error metrics:
Absolute Error = |f(x) − L(x)|
Relative Error = Absolute Error / |f(x)| × 100%
Supported families include polynomial, exponential, logarithmic, trigonometric, power, reciprocal, and square-root forms. Domain rules are checked automatically before the tangent-line model is built.
These samples show how local approximations behave across several common curve families.
| Function | a | x | Exact f(x) | Linearized L(x) | Absolute Error |
|---|---|---|---|---|---|
| ln(x) | 1 | 1.10 | 0.09531018 | 0.10000000 | 0.00468982 |
| sqrt(x) | 4 | 4.20 | 2.04939015 | 2.05000000 | 0.00060985 |
| e^x | 0 | 0.20 | 1.22140276 | 1.20000000 | 0.02140276 |
| sin(x) | 0 | 0.10 | 0.09983342 | 0.10000000 | 0.00016658 |
Linearization replaces a nonlinear function with its tangent line near a chosen point. That local line often gives a fast and useful estimate when x stays close to the base point.
The tangent line matches the curve exactly only at the base point. As x moves farther away, curvature matters more, so approximation error usually grows.
Yes. The calculator supports polynomial, exponential, logarithmic, sine, cosine, power, reciprocal, and square-root models with adjustable coefficients.
The page checks common restrictions before solving. For example, logarithms need positive arguments, square roots need nonnegative radicands, and reciprocal models cannot divide by zero.
You get the exact function value, the tangent-line estimate, the absolute error, and the relative error percentage when the exact value is nonzero.
Its main job is approximation, not full equation solving. Still, the tangent-line model can help you study local behavior before using more advanced numerical methods.
The essential formula is L(x) = f(a) + f′(a)(x − a). Everything else on the page follows from that local tangent-line relationship.
It helps when exact calculations are inconvenient but nearby estimates are enough. Common uses include engineering approximations, error analysis, sensitivity checks, and quick mental estimates.
Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.