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A : The decomposition of gaseous N2O5 fo...

A : The decomposition of gaseous `N_2O_5` follows first order kinetics.
R : The plot of log of its partial pressure versus time is linear with slope , `-k/(2.303)` and having intercept equal to log P.

A

If both Assertion & Reason are true and the reason is the correct explanation of the assertion , then mark (1).

B

If both Assertion & Reason are true but the reason is not the correct explanation of the assertion , then mark (2).

C

If Assertion is true statement but Reason is false, then mark (3).

D

If both Assertion and Reason are false statements , then mark (4)

Text Solution

AI Generated Solution

The correct Answer is:
To solve the question regarding the decomposition of gaseous \( N_2O_5 \) and its kinetics, we will follow these steps: ### Step-by-Step Solution: 1. **Understanding First-Order Kinetics**: The decomposition of \( N_2O_5 \) is stated to follow first-order kinetics. This means that the rate of reaction is directly proportional to the concentration (or partial pressure) of \( N_2O_5 \). 2. **Writing the Rate Law**: For a first-order reaction, the rate law can be expressed as: \[ \text{Rate} = -\frac{d[P]}{dt} = k[P] \] where \( k \) is the rate constant and \( [P] \) is the concentration (or partial pressure) of \( N_2O_5 \). 3. **Integrating the Rate Law**: The integrated rate law for a first-order reaction is given by: \[ \ln[P_t] = \ln[P_0] - kt \] where \( [P_t] \) is the partial pressure at time \( t \) and \( [P_0] \) is the initial partial pressure. 4. **Converting to Logarithm Base 10**: To convert the natural logarithm to base 10, we use the relationship: \[ \ln[P_t] = 2.303 \log[P_t] \] Thus, we can rewrite the integrated rate law as: \[ 2.303 \log[P_t] = 2.303 \log[P_0] - \frac{k}{2.303} t \] 5. **Identifying the Slope and Intercept**: From the equation \( 2.303 \log[P_t] = 2.303 \log[P_0] - \frac{k}{2.303} t \), we can identify: - The slope \( m = -\frac{k}{2.303} \) - The intercept \( c = 2.303 \log[P_0] \) 6. **Conclusion**: The plot of \( \log[P_t] \) versus time \( t \) will be linear, with a negative slope of \( -\frac{k}{2.303} \) and an intercept equal to \( \log[P_0] \). This confirms that the statement in the question is correct. ### Final Answer: Both statements A and R are correct, and R is the correct explanation for A. ---
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