Solution:
The answer is 24⋅33⋅53⋅7=378000.
One heuristic for estimating the answer is that numbers of the form pqrs for primes p,q,r,s with p=r,q=s are primest. Thus, primest numbers are not very rare, so we can expect the answer to be relatively small with only a few distinct prime factors.
A sample Python code to search for the smallest prime-minister number is as follows:
```python
from operator import *
primes = []
primers = []
primests = []
for i in range(2,3000):
prime_factors = 0
primer_factors = 0
temp = i
for x in primes:
if x > temp:
break
if temp % x == 0:
prime_factors += 1
while temp % x == 0:
temp = temp // x
if (prime_factors == 0):
primes.append(i)
continue
elif (prime_factors in primes):
primers.append(i)
for x in primers:
if i % x == 0:
primer_factors += 1
if (primer_factors in primers):
primests.append(i)
def product(L):
ans = 1
for i in L:
ans *= i
return ans
def sum_prime_product(L, curr = ()):
if (L == ()):
#print(curr)
if len(curr) in primes:
return product(curr)
return 0
return sum_prime_product(L[1:], curr + (L[0],)) + sum_prime_product(L[1:], curr)
def count_primests(L, curr = ()):
if (L == ()):
if (sum_prime_product(curr) in primers):
return 1
return 0
ans = 0
for i in range(0,L[0]+1):
ans += count_primests(L[1:], curr+(i,))
return ans
def compute(L):
ans = 1
for i in range(len(L)):
ans = (primes**L*)
return ans
def find_best(M, best = 2**20 3*5, curr = ()):
num = compute(curr)
if (num > best):
return False
if (count_primests(curr) in primests):
print(num, curr)
return num
for i in range(1,M):
result = find_best(M, best, curr + (i,))
if (result == False):
break
elif (result < best):
best = result
return best
print("Answer:", find_best(30))
```
Thus, the smallest prime-minister number is 378000.