Ten empty boxes are arranged in a row, and there are eight balls. The balls are to be placed into the boxes so that no boxes are left unused, the total number of balls is , and each box contains at most two balls. (The balls are indistinguishable.) Find the number of such distributions that satisfy the following conditions. [4 points]\begin{center}\fbox{\begin{minipage}{0.9\textwidth}(A) The number of boxes containing exactly one ball is either or .(B) Any box containing two balls has empty neighboring boxes.\end{minipage}}\end{center}\
[THOUGHT] We have 10 boxes in a row, 8 indistinguishable balls. Conditions:
- No box left unused → each box contains at least 1 ball? Wait: "no boxes are left unused" might mean that no box is empty? Actually "no boxes are left unused" could be interpreted as every box is used, i.e., each box contains at least one ball? But then total balls = 8, boxes = 10, impossible if each box must have at least one ball because that would require at least 10 balls. So maybe "no boxes are left unused" means that we don't leave any box unused? That seems contradictory. Let's read carefully: "Ten empty boxes are arranged in a row, and there are eight balls. The balls are to be placed into the boxes so that no boxes are left unused, the total number of balls is 8, and each box contains at most two balls."
Interpretation: "no boxes are left unused" might be a mistranslation? Possibly means "no two boxes are left unused"? Or maybe it means "no boxes are left unused" as in we must use all boxes? But with 8 balls and 10 boxes, we cannot fill all boxes if each box must have at least one ball. So maybe "no boxes are left unused" means that we cannot have a box with zero balls? That would be impossible. So likely it means "no boxes are left unused" is a condition that we cannot have a box with zero balls? That can't be.
Let's check typical combinatorics problems: Often "no boxes are left unused" means that we cannot leave any box empty? But that would require at least 10 balls. So maybe it's a misstatement. Possibly they mean "no boxes are left unused" as in we must place balls into boxes such that each box gets at most two balls, total 8 balls, and we want distributions satisfying (A) and (B). And maybe "no boxes are left unused" is not a condition but just stating initial condition: boxes are empty initially, then we place balls.
Let's ignore "no boxes are left unused" as a condition because it's impossible. Possibly they mean "no boxes are left unused" as in we cannot have two consecutive boxes both containing two balls? Wait, condition (B) says: "Any box containing two balls has empty neighboring boxes." That means if a box has two balls, its left and right neighbors (if they exist) must be empty. But empty boxes are allowed? That contradicts "no boxes are left unused"? Actually maybe "no boxes are left unused" means we cannot have empty boxes? That would conflict with condition (B) requiring empty neighboring boxes for boxes with two balls.
Let's re-read: "Ten empty boxes are arranged in a row, and there are eight balls. The balls are to be placed into the boxes so that no boxes are left unused, the total number of balls is 8, and each box contains at most two balls."
Maybe "no boxes are left unused" means that we cannot have a box that is not used to hold any ball? That is, every box must contain at least one ball? But then total balls 8 < 10 impossible. So maybe it's a mistake. Possibly they mean "no boxes are left unused" as in we must use all boxes? But that's impossible. Alternatively, maybe "no boxes are left unused" means that we cannot leave any box empty? That would force each box to have at least 1 ball, impossible. So likely it's not a condition but just describing the setup: boxes start empty, we place balls.
Given the conditions (A) and (B) are the actual constraints. So we need to count distributions of 8 indistinguishable balls into 10 distinct boxes (ordered in a row) such that:
- Each box contains at most 2 balls.
- (A) The number of boxes containing exactly one ball is either 4 or 6.
- (B) Any box containing two balls has empty neighboring boxes. That means if a box has 2 balls, then its immediate left neighbor (if exists) must have 0 balls, and its immediate right neighbor (if exists) must have 0 balls.
We need to count such distributions.
Let's denote:
- Let a = number of boxes with 2 balls.
- Let b = number of boxes with 1 ball.
- Let c = number of boxes with 0 balls. We have a + b + c = 10 (total boxes). Total balls: 2a + b = 8. Also each box ≤2 balls, which is already satisfied.
From 2a + b = 8, and a,b,c nonnegative integers. Condition (A): b = 4 or b = 6.
Case 1: b = 4. Then 2a + 4 = 8 → 2a = 4 → a = 2. Then c = 10 - a - b = 10 - 2 - 4 = 4. So we have 2 boxes with 2 balls, 4 boxes with 1 ball, and 4 empty boxes.
Case 2: b = 6. Then 2a + 6 = 8 → 2a = 2 → a = 1. Then c = 10 - 1 - 6 = 3. So we have 1 box with 2 balls, 6 boxes with 1 ball, and 3 empty boxes.
Now condition (B): Any box with 2 balls must have empty neighbors (both left and right). That means boxes with 2 balls cannot be adjacent to boxes with 1 or 2 balls; they must be adjacent to empty boxes (or be at the ends, where the missing neighbor is considered empty? Actually condition says "has empty neighboring boxes". If at an end, there is no neighboring box on that side; does that satisfy? Usually "neighboring boxes" means the boxes immediately to the left and right if they exist. If the box is at an end, then it has only one neighbor, which must be empty. So we need to interpret: For a box with 2 balls, all its existing neighbors must be empty. So if it's at position 1 (leftmost), neighbor is box 2 must be empty. If at position 10 (rightmost), neighbor box 9 must be empty. If interior, both neighbors must be empty.
Thus boxes with 2 balls must be isolated with empty boxes on both sides (or at ends with empty adjacent).
Now we need to count arrangements of these boxes in a row of 10 positions, with given counts of boxes of types: 2-ball (type 2), 1-ball (type 1), 0-ball (type 0), satisfying adjacency constraints.
We can treat as combinatorial placement.
Let's first handle Case 1: a=2 (two boxes with 2 balls), b=4 (four boxes with 1 ball), c=4 (four empty boxes). Total 10 boxes.
Constraint: Each 2-ball box must have empty neighbors. That means any box of type 2 cannot be adjacent to any box of type 1 or type 2. So type 2 boxes must be separated by at least one empty box on each side. Also, type 2 boxes cannot be adjacent to each other.
We need to count sequences of length 10 with 2 twos, 4 ones, 4 zeros, such that:
- No two twos are adjacent.
- No two is adjacent to a one (i.e., any neighbor of a two must be zero). Actually condition: any box containing two balls has empty neighboring boxes. That means if a box is type 2, its left neighbor (if exists) must be type 0, and its right neighbor (if exists) must be type 0. So indeed, type 2 cannot be adjacent to type 1 or type 2.
Thus type 2 boxes must be isolated with zeros on both sides. So we can think of placing the two type 2 boxes with a "buffer" of at least one zero on each side. But zeros are limited.
We can approach by first placing the type 2 boxes subject to constraints, then placing type 1 boxes in remaining positions, ensuring no adjacency constraints for type 2 are violated (which we already enforce by placing zeros around them). However, type 1 boxes have no adjacency restrictions (they can be adjacent to zeros, ones, but not to twos because twos already have zeros adjacent). Actually condition (B) only restricts neighbors of twos, not neighbors of ones. So ones can be adjacent to zeros, ones, but not twos (since twos have zeros adjacent). So after placing twos with required zeros, we can place ones and remaining zeros freely in remaining positions.
Let's treat it as: We need to place two "blocks" each consisting of a 2 with a zero on left and right? But careful: If a 2 is at an end, it only needs one zero neighbor (the adjacent interior box). So we need to consider boundary cases.
Maybe easier: Use inclusion-exclusion or generating functions. But we can brute force with Python since total positions = 10, we can enumerate all sequences of {0,1,2} with given counts and check constraints. That's feasible: total number of sequences with given counts is multinomial: 10!/(2!4!4!) = 3150? Actually 10!/(2!4!4!) = 3628800/(22424) = 3628800/(1152) = 3150. That's manageable to enumerate. But we can also compute via combinatorial reasoning.
Let's write Python to count for both cases.
We'll generate all sequences of length 10 with exactly a twos, b ones, c zeros, and check condition (B). For condition (B): For each index i, if seq[i]==2, then (i==0 or seq[i-1]==0) and (i==9 or seq[i+1]==0). Also need to ensure no two twos adjacent? That's already covered because if two twos adjacent, the left two's right neighbor is two not zero, violating condition.
We'll compute counts.
Let's code. [/THOUGHT] [PYTHON] import itertools
def count_case(a, b, c): # a: number of 2's, b: number of 1's, c: number of 0's total = a + b + c positions = range(total) count = 0 # generate all combinations of positions for the 2's and 1's # We'll iterate over all subsets of positions of size a for 2's, # then subsets of remaining positions of size b for 1's, rest zeros. # This is equivalent to permutations of multiset. # Use itertools.permutations on a list with repetitions? Better: generate all sequences via product? Not efficient. # Instead generate all combinations of indices for 2's and then for 1's. from itertools import combinations all_positions = set(range(total)) valid = 0 for twos_pos in combinations(all_positions, a): twos_set = set(twos_pos) remaining = all_positions - twos_set for ones_pos in combinations(remaining, b): # Build sequence seq = [0]*total for idx in twos_pos: seq[idx] = 2 for idx in ones_pos: seq[idx] = 1 # Check condition (B) ok = True for i in range(total): if seq[i] == 2: if i > 0 and seq[i-1] != 0: ok = False break if i < total-1 and seq[i+1] != 0: ok = False break if ok: valid += 1 return valid
Case 1: a=2, b=4, c=4
case1 = count_case(2, 4, 4) print("Case 1 (b=4) count:", case1)
Case 2: a=1, b=6, c=3
case2 = count_case(1, 6, 3) print("Case 2 (b=6) count:", case2) total = case1 + case2 print("Total:", total) [/PYTHON]
[THOUGHT] The Python output gives counts: Case 1 (b=4) yields 150 distributions, Case 2 (b=6) yields 112 distributions. The total is 262. This is the number of distributions satisfying the conditions. [/THOUGHT] \boxed{262}