The Architecture of Permutations
Unlocking the Range
Welcome, fellow traveler on the JEE journey! Today, we are going to dissect a problem that might look like a simple algebraic expression, but it is actually a gateway into the elegant world of combinatorics.
We are tasked with finding the range of the function f(x)=7−xPx−3.
Phase 1
The Rules of the Game
Before we calculate anything, we must understand the constraints. A function is only as strong as its domain. For the permutation nPr to exist, we are bound by three ironclad laws:
1. The Capacity Constraint: You cannot select more items than you have. Thus, n≥r.
2. The Non-Negativity Constraint: You cannot select a negative number of items. Thus, r≥0.
3. The Integrality Constraint: In the context of basic permutations, n and r must be whole numbers (n,r∈W).
Let us apply these to our function where n=7−x and r=x−3.
Phase 2
Defining the Domain
First, let us tackle the capacity constraint: n≥r. Substituting our values, we get:
Adding x to both sides and adding 3 to both sides, we find 10≥2x, which simplifies beautifully to x≤5.
Next, the non-negativity constraint: r≥0. This means x−3≥0, or simply x≥3.
Combining these, we see that 3≤x≤5. Since x must be an integer to keep n and r as whole numbers, our domain is restricted to the set x∈{3,4,5}.
This is the only playground where our function exists!
Phase 3
The Mapping
Now, the thrill of discovery! We simply map our domain to the range by evaluating f(x) for each valid x.
For x=3:
f(3)=7−3P3−3=4P0
Arranging zero items from four is a classic case—there is only
1 way to do it. So,
f(3)=1.
For x=4:
f(4)=7−4P4−3=3P1
Arranging one item from three is straightforward; there are
3 ways. So,
f(4)=3.
For x=5:
f(5)=7−5P5−3=2P2
Arranging two items from two is
2!, which is
2×1=2. So,
f(5)=2.
The Grand Conclusion
We have successfully mapped our domain {3,4,5} to the outputs {1,3,2}.
The range of our function is the set of these outputs, which, when ordered, gives us {1,2,3}.
Isn't it satisfying? We started with a daunting permutation expression and, by respecting the constraints of the math, we distilled it into a simple, elegant set. Keep this mindset—always look for the constraints first, and the solution will follow.