Finding a combination discrete and continuous cdf to make a new cdf

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The discussion centers on finding a combination of discrete and continuous cumulative distribution functions (CDFs) to create a new CDF, F(x). The task involves defining a discrete CDF, F_d(x), and a continuous CDF, F_c(x), along with a weight parameter 'a' that satisfies the equation F(x) = aF_d(x) + (1-a)F_c(x). Participants express uncertainty about how to start the problem, noting the need to explicitly define F_c(x) for each interval while addressing discontinuities at x=0 and x=1. Hints suggest using discrete probabilities to manage these discontinuities effectively. The discussion emphasizes the importance of clearly defining both types of CDFs to achieve the desired combination.
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Homework Statement


Let F(x)=\begin{cases}<br /> .25e^{x} &amp; -\infty&lt;x&lt;0\\<br /> .5 &amp; 0\leq x\leq1\\<br /> 1-e^{-x} &amp; 1&lt;x&lt;\infty\end{cases}$. Find a CDF of discrete type, <i>F_d(x)</i> and of continuous type, <i>F_c(x)</i> and a number 0&lt;a&lt;1 such that <i>F(x)</i>=aF_d(x)+(1-a)F_c(x)<br />

Homework Equations





The Attempt at a Solution


don't really have any idea of where to begin. i have the answers in the book. any hint would be greatly appreciated.
 
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fc will be continuous, but still will need to be defined explicitly for each interval

use the discrete probabilities to account for the discontinuities in the current function at x=0,1
 
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