I have this question and I can not solve.
Suppose I have a line segment of length $L$. I now select two points at random along the segment. What is the probability that the distance between the two points is less than kL, where $0<k<L$?
I have the answer which is:
$$1-(1-k)^2$$
but I don't understand why?
Can you please help.
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1$\begingroup$ Have a look at the (related) post here: math.stackexchange.com/questions/163612/… . The area $1-(1-k)^2$ is the area of the white "strip" in this answer: math.stackexchange.com/a/163656/700480 (the two triangles having the area $\frac{(1-k)^2}{2}$ each). $\endgroup$– user700480Jan 3, 2020 at 20:47
2 Answers
Here’s a rather informal answer to the problem. Consider a bijection of choosing the two points onto a point on a plane.
The purple region represent the possible locations of $X$ and $Y$. For instance $(0.2,0.4)$ means that point $X$ has distance $0.2L$ from one end and $Y$ has $0.4L$.
Now we want $XY$ to be less than $kL$. That is essentially saying that $|x-y|<k$ in our plane, which corresponds to the blue region, i.e. a hexagon with vertices $(0,0),(0,k),(1-k,1),\ldots$.
To calculate the probability, we then just have to find the area of the blue region divided by the purple one, and the answer of $$1-(1-k)^2$$ follows from direct computation.
HINT: let $X$ and $Y$ two independent and uniformly distributed random variables in $[0,L]$. Then the probability that you want is $\Pr[|X-Y|<kL]$. Then you have that $$ \begin{align*} \Pr[|X-Y|<kL]:=&\Pr(\{\omega \in \Omega :|X(\omega )-Y(\omega )|<kL \}\\ =&\Pr(\{\omega \in \Omega :-kL< X(\omega )-Y(\omega )<kL \}\\ =&\Pr(\{\omega \in \Omega :X(\omega )\in (Y(\omega )-kL,Y(\omega )+kL) \}\\ =&\Pr(\{\omega \in \Omega :(X(\omega ),Y(\omega ))\in S \})\\=&\Pr[(X,Y)\in S] \end{align*} $$ where $S:=\{(x,y)\in \Bbb R ^2:x\in (y-kL,y+kL)\}$.
Now note that $(X,Y)$ is uniformly distributed in $[0,L]^2$, therefore $\Pr[|X-Y|<kL]$ is the area of $S \cap [0,L]^2$ divided by the area of $[0,L]^2$.
Alternatively you can check that if $X$ and $Y$ are independent continuous random variables then for $Z:=X-Y$ we have that $$ F_Z(c)=\int_{\Bbb R } f_X(s)f_Y(s-c)\,\mathrm d s $$ Therefore $$ \begin{align*} \Pr[|X-Y|<kL]&=\Pr[-kL<Z<kL]\\ &=\Pr[Z<kL]-\Pr[Z\leqslant -kL]\\ &=F_Z(kL)-F_Z(-kL) \end{align*} $$