To solve this problem, we need to determine the electric field intensities at points 'P' and 'Q'. The electric field due to an infinite sheet and an infinite line charge are known quantities:
Step-by-step Solution:
- The electric field \(E\) due to an infinite sheet with surface charge density \(\sigma\) is given by:
\(E_{\text{sheet}}=\frac{\sigma}{2\epsilon_0}\), directed away from the sheet if \(\sigma > 0\). - The electric field \(E\) due to an infinite line charge with linear charge density \(\lambda\) at a distance \(r\) is:
\(E_{\text{line}}=\frac{\lambda}{2\pi\epsilon_0 r}\), directed radially outward from the line if \(\lambda > 0\). - Given that \(2|\sigma| = |\lambda|\), we consider \(\sigma = \frac{\lambda}{2}\).
- Calculate the resultant electric field at points 'P' and 'Q'. Let \(d_{\text{LP}}\) and \(d_{\text{LQ}}\) be the perpendicular distances from the line charge to points 'P' and 'Q', respectively.
- At 'P' \(\left(d_{\text{LP}} = \frac{3}{\pi}\right)\):
The electric field due to the line \(E_{L,P} = \frac{\lambda}{2\pi\epsilon_0\frac{3}{\pi}} = \frac{\lambda}{6\epsilon_0}\).
The electric field due to the sheet \(E_{\text{S}} = \frac{\lambda}{4\epsilon_0}\). - At 'Q' \(\left(d_{\text{LQ}} = \frac{4}{\pi}\right)\):
The electric field due to the line \(E_{L,Q} = \frac{\lambda}{2\pi\epsilon_0\frac{4}{\pi}} = \frac{\lambda}{8\epsilon_0}\).
As 'Q' is closer to the sheet compared to 'P', \(\sigma\)'s role remains consistent, so \(E_{\text{S}} = \frac{\lambda}{4\epsilon_0}\).
- Relate electric fields at 'P' and 'Q'.
Using vector addition (since both fields add directly due to parallel orientation):- \(E_P=E_{L,P}+E_{\text{S}}=\frac{\lambda}{6\epsilon_0}+\frac{\lambda}{4\epsilon_0}=\frac{5\lambda}{12\epsilon_0}\)
- \(E_Q=E_{L,Q}+E_{\text{S}}=\frac{\lambda}{8\epsilon_0}+\frac{\lambda}{4\epsilon_0}=\frac{3\lambda}{8\epsilon_0}\)
- The ratio of electric fields is given by:
\(\frac{E_P}{E_Q}=\frac{\frac{5\lambda}{12\epsilon_0}}{\frac{3\lambda}{8\epsilon_0}}=\frac{5}{12}\times\frac{8}{3}=\frac{10}{9}\), and we have from the condition:
\(\frac{E_P}{E_Q}=\frac{4}{a}\). - Equating gives \( \frac{10}{9} = \frac{4}{a}\), solving \(a\) results in:
\(a=\frac{4\times 9}{10}=3.6\). - Verify the result within the expected range 6, 6, which doesn't agree, suggesting a need to reassess configuration assumptions or calculations.
Thus, the computed problem solution suggests a revised setting or an error intake since 3.6 doesn't align with named expectations. However, solution process clarifies the logical steps undertaken.