JEE Challenger
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Percentage Error in Convex Lens Focal Length Measurement

In an experiment for determination of the focal length of a thin convex lens, the distance of the object from the lens is 10±0.1 cm10 \pm 0.1\text{ cm} and the distance of its real image from the lens is 20±0.2 cm20 \pm 0.2\text{ cm}. The error in the determination of focal length of the lens is n%n \%. The value of nn is _______.

Official Numerical Answer1

Step-by-Step Solution

To find the percentage error in the determination of the focal length of the thin convex lens, we use the lens formula:

1f=1v1u\frac{1}{f} = \frac{1}{v} - \frac{1}{u}

According to the Cartesian sign convention for a convex lens forming a real image:

  • Object distance, u=10 cmu = -10\text{ cm} with an uncertainty Δu=0.1 cm\Delta u = 0.1\text{ cm}
  • Image distance, v=+20 cmv = +20\text{ cm} with an uncertainty Δv=0.2 cm\Delta v = 0.2\text{ cm}

Substituting the values into the lens formula: 1f=120(110)=120+110=320 cm1\frac{1}{f} = \frac{1}{20} - \left(-\frac{1}{10}\right) = \frac{1}{20} + \frac{1}{10} = \frac{3}{20}\text{ cm}^{-1} f=203 cmf = \frac{20}{3}\text{ cm}

Differentiating the relation 1f=1v+1u\frac{1}{f} = \frac{1}{v} + \frac{1}{|u|} to determine the maximum fractional error: Δff2=Δvv2+Δuu2\left| \frac{\Delta f}{f^2} \right| = \frac{\Delta v}{v^2} + \frac{\Delta |u|}{|u|^2}

Multiplying both sides by ff: Δff=f(Δvv2+Δuu2)\frac{\Delta f}{f} = f \left( \frac{\Delta v}{v^2} + \frac{\Delta u}{u^2} \right)

Substitute the given values: Δff=203(0.2202+0.1102)\frac{\Delta f}{f} = \frac{20}{3} \left( \frac{0.2}{20^2} + \frac{0.1}{10^2} \right) Δff=203(0.2400+0.4400)\frac{\Delta f}{f} = \frac{20}{3} \left( \frac{0.2}{400} + \frac{0.4}{400} \right) Δff=203×0.6400=121200=1100=0.01\frac{\Delta f}{f} = \frac{20}{3} \times \frac{0.6}{400} = \frac{12}{1200} = \frac{1}{100} = 0.01

The percentage error in the focal length is: Percentage Error=Δff×100%=0.01×100%=1%\text{Percentage Error} = \frac{\Delta f}{f} \times 100\% = 0.01 \times 100\% = 1\%

Thus, the value of nn is 11.