The Matrix as a Combinatorial Playground
Imagine you are standing before a 2×2 matrix, a simple grid of four cells. We label them a,b,c, and d.
The problem constraints are deceptively simple: each entry must be an integer from the set {0,1,2,3,4}. Your task is to find how many such matrices exist where the sum of these four entries is a prime number p in the range (2,13).
At first glance, you might be tempted to start scribbling combinations. But stop. In the world of JEE Advanced, brute force is the enemy of elegance.
We are not just counting; we are solving a partition problem. We need a tool that handles the constraints of each variable being bounded between 0 and 4. That tool is the Generating Function.
The Power of the Generating Function
For a single variable, the choices are represented by the polynomial P(x)=1+x+x2+x3+x4. The exponent of x represents the value chosen, and the coefficient represents the number of ways to choose it.
Since we have four independent variables (a,b,c,d), the total number of ways to achieve a sum S is the coefficient of xS in the expansion of the product of these polynomials:
This is the heart of the problem. We are looking for the sum of the coefficients of x3,x5,x7, and x11.
Simplifying the Expression
We can simplify our polynomial using the sum of a geometric progression. Notice that 1+x+x2+x3+x4=1−x1−x5. Raising this to the power of 4, we get:
Now, let's expand the numerator using the binomial theorem:
(1−x5)4=1−4x5+6x10−4x15+x20
We only care about terms up to x11, so we can safely ignore x15 and higher powers. For the denominator, we use the negative binomial expansion, where the coefficient of xr in (1−x)−4 is (3r+3).
The Calculation
Now, we extract the coefficients for each prime sum p∈{3,5,7,11}:
1. For p=3: We need the coefficient of x3. This comes from 1×(coeff of x3 in (1−x)−4).
2. For p=5: We need the coefficient of x5. This comes from 1×(coeff of x5)−4×(coeff of x0).
Ways=(35+3)−4(30+3)=(38)−4(1)=56−4=52
3. For p=7: We need the coefficient of x7. This comes from 1×(coeff of x7)−4×(coeff of x2).
Ways=(37+3)−4(32+3)=(310)−4(35)=120−40=80
4. For p=11: We need the coefficient of x11. This comes from 1×(coeff of x11)−4×(coeff of x6)+6×(coeff of x1).
Ways=(311+3)−4(36+3)+6(31+3)=(314)−4(39)+6(34)=364−336+24=52
The Final Tally
Adding these together, the total number of matrices is 20+52+80+52=204.
While some answer keys might suggest 196, the rigorous mathematical derivation leads us to 204. Trust the process, trust the math, and you will always find the truth. You have just mastered a classic JEE Advanced combinatorial technique!