Analyzing the Setup
Welcome, future engineers! Today, we are going to tackle a problem that might look like a standard matrix question at first glance, but it is actually a beautiful, hidden puzzle of combinatorics and number theory.
We are given a matrix:
The variables a,b,c,d are chosen from the set S={0,3,5,7,11,13,17,19}. Our mission is to find the number of invertible matrices.
The Determinant Shortcut
When we think of invertibility, the first thing that should flash in your mind is the determinant. A matrix is invertible if and only if its determinant is not equal to zero.
Look at the matrix M. The third row is a gift, as it contains two zeros and a five. Expanding along this row is the most efficient path:
∣M∣=0−5(ad−bc)+0=−5(ad−bc)
For the matrix to be invertible, we require $-5(ad - bc)
eq 0$, which simplifies to the core constraint:
This is our golden rule.
The Strategy of Complementary Counting
Trying to count all pairs (a,b,c,d) such that $ad
eq bc$ is overwhelming. Instead, we use the strategy of Complementary Counting.
We calculate the total number of possible matrices and subtract the number of singular matrices (where ad=bc). The total number of matrices is:
Now, we just need to find the singular ones.
The Prime Number Revelation
This is where the problem gets thrilling. We split the singular condition ad=bc into two cases.
Case 1: The product is zero (ad=0 and bc=0).
For ad=0, either a=0 or d=0. The number of ways is 8+8−1=15. Since bc=0 also has 15 ways, the total for Case 1 is:
Case 2: The product is non-zero ($ad = bc
eq 0$).
Here, none of the variables can be zero. They must be chosen from the set {3,5,7,11,13,17,19}, which contains 7 prime numbers.
By the Fundamental Theorem of Arithmetic, if ad=bc, the set of prime factors must match. We break this into three subcases:
1. All four variables are the same: 7 ways.
2. a=b and d=c with $a
eq d$: 7×6=42 ways.
3. a=c and d=b with $a
eq d$: 7×6=42 ways.
The total for Case 2 is 7+42+42=91.
The Final Tally
We have reached the end of our journey. The total number of singular matrices is:
Subtracting this from our total of 4096, we get:
There you have it! By looking for the hidden structure—the sparse row, the complementary counting, and the prime number property—we turned a daunting problem into a series of logical, satisfying steps. The final answer is 3780.