Location is Everything

In an industrial town, there are 3 bakeries X, Y, Z which sell the same bread at distinct prices. Everyday, their prices are randomly ordered such that each of the 6 possible orderings (3!=6) is equally likely. You can't know the prices until you visit the bakeries. After work, while people walk along the route Factory X Y Z Home , \text{Factory} \to \text{X} \to \text{Y} \to Z \to \text{Home}, they buy bread for the next morning at one of the 3 shops. The following are their behavioral pattern observed for long:

  • To get a lower price, they can go back 1 shop ( ( e.g. Y \to X or Z \to Y ) , ), but not 2 shops ( ( e.g. Z \to X ) ) because it's too far.
  • They each try to maximize the probability of getting the cheapest price on their bread.

Which bakery has the best location?

List X, Y, Z in order from the most visited to the least visited shop.

XYZ XZY YXZ YZX ZXY ZYX

This section requires Javascript.
You are seeing this because something didn't load right. We suggest you, (a) try refreshing the page, (b) enabling javascript if it is disabled on your browser and, finally, (c) loading the non-javascript version of this page . We're sorry about the hassle.

1 solution

Jimin Khim Staff
Oct 23, 2017

Checking the price at X and buying bread there without further investigation can't be optimal because they can always come back to X after checking with Y. So, let's see what happens when they check the price at X, and then check with Y.

  • Case 1: Price is cheaper at X than at Y (for short, X < Y) with probability 1 2 . \frac12. ( \Big( Comparing only X and Y, this probability is 1 2 , \frac12, not 1 3 . ) \frac13.\Big)

    • Then what's happening must be one of the following three: (1) X < Y < Z, (2) X < Z < Y, (3) Z < X < Y.
      That is, given the information X < Y, the probability of X being the cheapest is 2 3 , \frac23, while that of Z being the cheapest is 1 3 . \frac13.
    • So, in Case 1, to maximize their probability of getting the cheapest price, they will go back to X.

  • Case 2: Price is cheaper at Y than at X (i.e. X > Y) with probability 1 2 . \frac12.

    • Then what's happening must be one of the following three: (1) X > Y > Z, (2) X > Z > Y, (3) Z > X > Y.
      That is, given the information X > Y, the probability of Y being the cheapest is 2 3 , \frac23, while that of Z being the cheapest is 1 3 . \frac13.
    • So, in Case 2, they are guaranteed to get the cheapest price either at Y ( \Big( with probability 2 3 ) \frac23\Big) or at Z ( \Big( with probability 1 3 ) , \frac13\Big), the choice between which can only be determined after they check with Z.

Therefore, the following are the probabilities that they will end up shopping at X, Y, Z, respectively: X : 1 2 , Y : 1 2 × 2 3 = 1 3 , Z : 1 2 × 1 3 = 1 6 , \text{X}: \frac12,\quad \text{Y}: \frac12\times \frac23=\frac13,\quad \text{Z}: \frac12\times \frac13=\frac16, which implies that they are most likely to buy bread at X and least likely to buy it at Z.

So, the answer is XYZ. _\square

0 pending reports

×

Problem Loading...

Note Loading...

Set Loading...