To solve this problem, we'll define the sets of birds each person saw. Let A be the set of birds Abdul saw, M be the set of birds Mala saw, and C be the set of birds Chetan saw. We know the following:
1. Each saw a unique bird. Let's denote these as a, m, and c:
a ∈ A, m ∈ M, c ∈ C.
2. Each pair saw one bird not seen by the third. Let's denote these as b_1, b_2, and b_3 where:
b_1 ∈ A ∩ M - C;
b_2 ∈ A ∩ C - M;
b_3 ∈ M ∩ C - A.
3. One bird was seen by all three. Denote this bird as b_4 where:
b_4 ∈ A ∩ M ∩ C.
Now, we count the total number of birds seen by each:
Abdul saw 4 birds since 2 are yellow. Considering unique query, 2 are yellow and 2 are connections, making total 4. Therefore, {a, b_1, b_2, b_4} form Abdul's set.
Mala saw 5 birds since 3 are yellow, implying an extra is common and yellow. Therefore, {m, b_1, b_3, b_4} form Mala's set.
Chetan saw 6 birds including 4 yellow. To satisfy 3 additional connections, we use:
{c, b_2, b_3, b_4}, time 3 unique required and counting as 1. However, confirmed by yellow count, total birds are distributed; specific yellow-associated compel count to match as 5 yellow.
Based on these, we have 5 common yellow candidates splitting sets:
- birds from overlapping patterns avoid the third where key coordination minimizes non-yellow to pinpoint overlapping and distribution.
Total yellow birds: 5, Total unique non-yellow confirmed among connections, maintaining total count as maximum cached as bird-count, evaluated non-yellow cumulative covering all conditions in single layer posture, arriving at count of 2 in compact allocation proof.