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Small Angle Approximation Verifier

Physics Oscillations and Waves • Simple Harmonic Motion (shm) Basics

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For a simple pendulum of length \(L\), the small-angle approximation \(\sin\theta\approx\theta\) leads to SHM with period \[ T_{\text{approx}} \approx 2\pi\sqrt{\frac{L}{g}}. \] The exact period at amplitude \(\theta_0\) is \[ T_{\text{exact}} = 4\sqrt{\frac{L}{g}}\,K(k),\qquad k=\sin\!\left(\frac{\theta_0}{2}\right), \] where \(K\) is the complete elliptic integral of the first kind. This calculator compares both and reports the percent error. Includes an interactive error-vs-angle plot (zoom + pan) and a slow pendulum animation.

Parameters
Ready
Pendulum swing animation
Schematic animation at amplitude \(\theta_0\). Uses the computed periods (approx/exact) to set the timing (slow by default).
Not to scale. Angle shown in degrees. Timing uses the selected mode.
Interactive error vs. angle plot
Plots percent error \(\%\text{error}=\frac{T_{\text{exact}}-T_{\text{approx}}}{T_{\text{exact}}}\times 100\%\) versus \(\theta_0\). Axes include units: \(\theta_0\) in degrees (°), error in percent (%). Mouse wheel/trackpad to zoom, drag to pan.
Tip: on narrow screens, scroll horizontally to see the full plot.
Small-angle check: \(\sin\theta\) vs \(\theta\)
Visual comparison in radians. For small \(\theta\), the curves overlap closely.
Axes: \(\theta\) (rad) and \(\sin\theta\) (unitless).
Enter values and click “Calculate”.

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Frequently Asked Questions

What specifically is the small-angle approximation?

The small-angle approximation substitutes the expression sin(x) with merely x when the angle is small, which enormously simplifies the governing differential equation.

Why does the pendulum equation lose accuracy at large angles?

At large swing angles, the physical restoring force is strictly proportional to the sine of the angle, not the angle itself, breaking the linear requirement for pure SHM.

At what angle does the approximation generally fail?

Engineers often safely use the approximation up to roughly 15 degrees, above which typical percentage error quickly climbs beyond 1 percent.