Monday, February 13, 2012
Ex 4.57.2 Counting Ø in Ƥ5(Ø)
How many copies of Ø occur in the expanded notation for Ƥ5(Ø) ?
(Hint: see Binary nature of power set)
Answer:
Let C(Ƥn(Ø)) be the number of elements in Ƥn(Ø)So there are 1,343,489 copies of Ø occur in the expanded notation for Ƥ5(Ø)
Let E(Ƥn(Ø)) be the number of Ø occurrence in Ƥn(Ø)
Based on the observation in the Binary nature of power set,This translates to:
- when n > 0, C(Ƥn(Ø)) = 2C(Ƥn-1(Ø))
- when n > 1, every element in Ƥn-1(Ø) is included in exactly half of all the element sets in Ƥn(Ø)
- there always exists an empty set in a non-empty power set
E(Ƥn(Ø)) = E(Ƥn-1(Ø)) · C(Ƥn(Ø))/2 + 1 where n > 1
Ƥ0(Ø) ≡ Ø
Ƥ1(Ø) ≡ {Ø}
Ƥ2(Ø) ≡ {Ø,{Ø}}
Ƥ3(Ø) ≡ {Ø,{Ø},{{Ø}},{Ø,{Ø}}}
...
C(Ƥ0(Ø)) = 0
C(Ƥ1(Ø)) = 2C(Ƥ0(Ø)) = 1
C(Ƥ2(Ø)) = 2C(Ƥ1(Ø)) = 2
C(Ƥ3(Ø)) = 2C(Ƥ2(Ø)) = 4
C(Ƥ4(Ø)) = 2C(Ƥ3(Ø)) = 16
C(Ƥ5(Ø)) = 2C(Ƥ4(Ø)) = 65536
E(Ƥ1(Ø)) = 1
E(Ƥ2(Ø)) = E(Ƥ1(Ø)) · C(Ƥ2(Ø))/2 + 1 = 1 · 2 /2 + 1 = 2
E(Ƥ3(Ø)) = E(Ƥ2(Ø)) · C(Ƥ3(Ø))/2 + 1 = 2 · 4 /2 + 1 = 5
E(Ƥ4(Ø)) = E(Ƥ3(Ø)) · C(Ƥ4(Ø))/2 + 1 = 5 · 16 /2 + 1 = 41
E(Ƥ5(Ø)) = E(Ƥ4(Ø)) · C(Ƥ5(Ø))/2 + 1 = 41 · 65536 /2 + 1 = 1343489