f 4 ( x 1 , x 2 , x 3 , x 4 ) = 1 ≤ i < j ≤ 4 ∑ ( ⌈ x j x i ⌉ + ⌊ x j x i ⌋ + ⌈ x i x j ⌉ + ⌊ x i x j ⌋ )
Consider the function above, where the domain for each of x 1 , x 2 , x 3 , x 4 is { 1 , 2 , 3 , 4 } .
What is the probability that out of all possible choices in the domain, ( x 1 , x 2 , x 3 , x 4 ) makes f 4 the minimum?
Bonus
: Generalize this for
f
n
, where
n
≥
2
and the domain is
{
1
,
2
,
…
,
n
}
.
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f 4 is minimised when max x j x i < 2 ; in this case f 4 = 2 4 .
To see we can't do better than this, consider two cases:
Case x i = x j : we have ⌈ x j x i ⌉ + ⌊ x j x i ⌋ + ⌈ x i x j ⌉ + ⌊ x i x j ⌋ = 1 + 1 + 1 + 1 = 4
Case x i < x j : ⌈ x j x i ⌉ + ⌊ x j x i ⌋ + ⌈ x i x j ⌉ + ⌊ x i x j ⌋ = 0 + 1 + ⌈ x i x j ⌉ + ⌊ x i x j ⌋
Now, since x i < x j , ⌈ x i x j ⌉ ≥ 2 and ⌊ x i x j ⌋ ≥ 1
so that ⌈ x j x i ⌉ + ⌊ x j x i ⌋ + ⌈ x i x j ⌉ + ⌊ x i x j ⌋ ≥ 4
with equality iff x i x j < 2 .
Since the sum is made up of six terms, it follows the least possible total is 2 4 as claimed.
This condition is easily achieved; to count up the possibilities, categorise by the smallest element of { x 1 , x 2 , x 3 , x 4 } ; call this element x m i n :
If x m i n = 1 , none of the x i can be greater than 1 ; this gives the single possibility { 1 , 1 , 1 , 1 } .
If x m i n = 2 , none of the x i can be greater than 3 ; this gives the 1 5 possibilities { 2 , 2 , 2 , 2 } , { 2 , 2 , 2 , 3 } , ⋯ { 3 , 3 , 3 , 2 } .
If x m i n = 3 , none of the x i can be greater than 4 ; this gives the 1 5 possibilities { 3 , 3 , 3 , 3 } , { 3 , 3 , 3 , 4 } , ⋯ { 4 , 4 , 4 , 3 } .
If x m i n = 4 , we again have a single possibility, { 4 , 4 , 4 , 4 } .
Hence 3 2 sets minimise f 4 .
There are 4 4 = 2 5 6 possible sets; so the probability that f 4 is minimised is 2 5 6 3 2 = 8 1 .