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A uniform rope of length l lies on a tab...

A uniform rope of length l lies on a table if the coefficient of friction is , then the maximum length l, of the part of this rope which can over hang from the edge of the table without sliding down is -

A

`l/(mu)`

B

`l/(mu)+1`

C

`(mul)/(mu+1)`

D

`(mul)/(mu-1)`

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The correct Answer is:
To solve the problem of determining the maximum length \( X \) of the part of a uniform rope that can overhang from the edge of a table without sliding down, we can follow these steps: ### Step-by-Step Solution: 1. **Define Variables**: - Let the total length of the rope be \( L \). - Let the length of the rope hanging over the edge be \( X \). - The length of the rope on the table will then be \( L - X \). - Let \( \lambda \) be the mass per unit length of the rope. 2. **Calculate the Mass**: - The mass of the hanging part of the rope is given by: \[ m_{\text{hanging}} = \lambda X \] - The mass of the part of the rope that is on the table is: \[ m_{\text{on table}} = \lambda (L - X) \] 3. **Determine Forces**: - The gravitational force acting on the hanging part of the rope is: \[ F_{\text{gravity}} = m_{\text{hanging}} \cdot g = \lambda X g \] - The maximum static friction force that can act on the rope to prevent it from sliding is: \[ F_{\text{friction}} = \mu \cdot m_{\text{on table}} \cdot g = \mu \cdot \lambda (L - X) g \] 4. **Set Up the Equation**: - For the rope to remain at rest, the friction force must be equal to the gravitational force acting on the hanging part: \[ \lambda X g = \mu \cdot \lambda (L - X) g \] 5. **Cancel Common Terms**: - We can cancel \( \lambda g \) from both sides (assuming \( \lambda \neq 0 \) and \( g \neq 0 \)): \[ X = \mu (L - X) \] 6. **Rearrange the Equation**: - Rearranging gives: \[ X + \mu X = \mu L \] - This simplifies to: \[ X (1 + \mu) = \mu L \] 7. **Solve for \( X \)**: - Finally, we can solve for \( X \): \[ X = \frac{\mu L}{1 + \mu} \] ### Conclusion: The maximum length \( X \) of the part of the rope that can overhang the table without sliding down is: \[ X = \frac{\mu L}{1 + \mu} \]
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