To determine the dimension of the subspace \( W \) of \( M_3(\mathbb{R}) \), consisting of all \( 3 \times 3 \) matrices where the sum of the entries in each row and each column is zero, we follow these steps:
- Consider a \( 3 \times 3 \) matrix \( A = [a_{ij}]_{3 \times 3} \). For \( A \) to be in \( W \), each row sum must be zero, i.e., \( a_{i1} + a_{i2} + a_{i3} = 0 \) for all \( i \), and each column sum must be zero, i.e., \( a_{1j} + a_{2j} + a_{3j} = 0 \) for all \( j \).
- Initially, a general \( 3 \times 3 \) matrix can have any real number for each entry, thus having \( 9 \) degrees of freedom.
- Each of the 3 row sum conditions imposes 1 constraint: \( a_{i3} = -a_{i1} - a_{i2} \) for each \( i \). Similarly, each of the 3 column sum conditions imposes \( 1 \) more independent constraint since the last entry can be expressed in terms of the others.
- Let's count the independent constraints: we have 3 independent constraints from row sums and 2 additional (because the third column constraint becomes dependent on the others) from the column sums. Total: 3 + 2 = 5 constraints.
- Thus, the number of free variables is \( 9 - 5 = 4 \), which means the dimension of \( W \) is 4.
This result falls within the given range of 4 to 4. Thus, the dimension of \( W \) is confirmed to be 4.