Conditional expectation of exponential random variable

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For an exponential random variable X with rate u, the conditional expectation E{X|X>a} can be calculated using integration. The formula E{X|X>a} = a + E{X} is derived through the integration of xe^(-ux) from a to infinity, normalized by the integral of e^(-ux) over the same limits. This approach effectively adjusts the expectation based on the condition that X is greater than a. The numerator represents the expected value of X given the condition, while the denominator ensures proper normalization. Understanding this integration process clarifies why the formula holds true.
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For an exponential random variable X with rate u What is E{X|X>a} where a is a scale value
from searching in internet I found that
E{X|X>a}=a+E{x}​
but I can not prove it
Help please
 
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It can be done by a straightforward integration.
∫xe-uxdx/∫e-uxdx with limits a,∞ for both the numerator and the denominator.
 
Thanks for reply, it is correct but why??
 
The integral in the numerator (properly normalized) from 0 to ∞ is the definition of E(X) for an exponentially distributed random variable. Changing the limits to (a,∞) means assuming X>a. The denominator supplies the normalization.
 
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