# import pypyjit
# pypyjit.set_param("max_unroll_recursion=-1")
from collections import *
from functools import *
from itertools import *
from heapq import *
import sys, math
# sys.setrecursionlimit(10**4)
input = sys.stdin.readline

class DSU:
    def __init__(self, n , B, P, A):
        self._n = n
        self.parent_or_size = [-1] * n
        self.P = P
        self.B = B
        self.SE = A
        self.SPB = [p*b*b for p,b in zip(P,B)]
        self.SB = B
        self.IP = [1/(p+0.000000000000001) for p in P]

    def merge(self, a, b):
        assert 0 <= a < self._n
        assert 0 <= b < self._n
        x, y = self.leader(a), self.leader(b)
        if x == y: return x
        if -self.parent_or_size[x] < -self.parent_or_size[y]: x, y = y, x
        self.parent_or_size[x] += self.parent_or_size[y]
        self.SB[x] += self.SB[y]
        self.SPB[x] += self.SPB[y]
        self.SE[x] += self.SE[y]
        self.IP[x] += self.IP[y]
        self.parent_or_size[y] = x
        return x

    def same(self, a, b):
        assert 0 <= a < self._n
        assert 0 <= b < self._n
        return self.leader(a) == self.leader(b)

    def leader(self, a):
        assert 0 <= a < self._n
        if self.parent_or_size[a] < 0: return a
        self.parent_or_size[a] = self.leader(self.parent_or_size[a])
        return self.parent_or_size[a]

    def size(self, a):
        assert 0 <= a < self._n
        return -self.parent_or_size[self.leader(a)]

    def groups(self):
        leader_buf = [self.leader(i) for i in range(self._n)]
        result = [[] for _ in range(self._n)]
        for i in range(self._n): result[leader_buf[i]].append(i)
        return [r for r in result if r != []]
    



N = int(input())
A = list(map(int,input().split()))
B = list(map(int,input().split()))
P = list(map(int,input().split()))
D = DSU(N,B,P,A)
Q = int(input())
ans = sum(p*(e-b)**2 for p,e,b in zip(P,A,B))
for _ in range(Q):
    x,y = map(int,input().split())
    x -= 1
    y -= 1
    lx = D.leader(x)
    ly = D.leader(y)
    if D.same(x,y):
        print(ans)
        continue
    else:
        bef = (-D.SPB[lx] + (D.SE[lx] - D.SB[lx])**2/D.IP[lx]
               -D.SPB[ly] + (D.SE[ly] - D.SB[ly])**2/D.IP[ly]
               )
        D.merge(x,y)
        lx = D.leader(x)
        aft = -D.SPB[lx] + (D.SE[lx] - D.SB[lx])**2/D.IP[lx]
        ans += aft-bef
        print(ans)
# print(D.SB)