Imagine you are in a physics laboratory, standing in front of a classic setup known as Searle's apparatus. You have a long, thin wire suspended from a rigid support, and you are about to determine one of its most fundamental properties: the Young's modulus. This problem is a beautiful journey that combines pure mechanical theory with the rigorous reality of experimental uncertainties.
The Master Equation
We begin by recalling the definition of Young's modulus, Y, which is the ratio of tensile stress to tensile strain.
Here, the force F is provided by the suspended mass, so F=Mg. The cross-sectional area A of the wire can be expressed in terms of its diameter d as A=4πd2. Substituting these into our equation gives us the master formula:
Calculating the Base Value
Before we worry about the errors, let's calculate the base value of Y using the exact measurements provided. The problem is generous enough to give us exact values for the mass (1.0 kg), the acceleration due to gravity (9.8 m/s2), and the length of the wire (2 m).
We must be careful to convert the diameter and extension from millimeters to meters to maintain SI units:
Y=π(0.4×10−3)2(0.8×10−3)4(1.0)(9.8)(2)
Evaluating this expression yields:
The Reality of Experimental Error
In the real world, no measurement is perfect. The diameter and the extension were measured with instruments that have inherent uncertainties. To find out how these small errors propagate into our final calculated value of Y, we use the method of fractional errors.
By taking the natural logarithm of our master equation and differentiating, we find the maximum permissible fractional error:
YΔY=MΔM+gΔg+LΔL+2dΔd+lΔl
Since M, g, and L are given as exact values, their uncertainties are zero. This simplifies our equation significantly:
Notice the factor of 2! Because the diameter is squared in the area formula, its fractional error contributes twice as much to the final error. This is a classic trap, so always watch out for exponents.
Final Calculation
Now, we substitute the given uncertainties into our simplified error equation:
ΔY=(2.0×1011)(2×0.40.01+0.80.05)
ΔY=(2.0×1011)(0.05+0.0625)=0.225×1011 N/m2
Following the rules of significant figures, since our input uncertainties (like 0.01 and 0.05) have only one significant digit, we must round our final error to one significant digit as well:
Combining our base value with this uncertainty, we arrive at the final, scientifically rigorous result:
This perfectly matches option (b). The beauty of this problem lies in how it forces us to respect both the mathematical theory and the physical limitations of our measuring instruments.