Analyzing the Setup
Welcome, fellow traveler on the path to JEE mastery. Today, we are going to dismantle a problem that, at first glance, looks like a chaotic mess of symbols.
You see a summation, a nested series, powers of r, and powers of 2. It is designed to overwhelm you. But remember, in the world of competitive mathematics, complexity is often just simplicity in disguise.
Let us peel back the layers together.
The Inner Series
Look closely at the inner part of the expression:
2r1+22r3r+23r7r+…
We need to find the general term, Tj. The numerators are 1,3,7,15,…. If you have been practicing your sequences, you know these are not random; they are 21−1,22−1,23−1,24−1,….
The denominators are
2r,22r,23r,24r,…. When we combine these, the
j-th term is:
Tj=(2j)r(2j−1)r=(2j2j−1)r
We have just turned a scary list of terms into a clean, compact summation:
j=1∑m(2j2j−1)r
The Double Summation
Now, we substitute this back into our original expression
S. We get:
S=r=0∑n(−1)rnCr[j=1∑m(2j2j−1)r]
This is a double summation. In JEE, whenever you see a double sum with independent limits, your first instinct should be: can I swap the order?
By pulling the sum over
j to the outside, we get:
S=j=1∑m[r=0∑nnCr(−1)r(2j2j−1)r]
Why do this? Because now, the inner sum is a function of r only, and the outer sum is just a spectator.
The Binomial Collapse
Look at that inner sum: ∑r=0nnCr(−2j2j−1)r. Does it look familiar?
It is the exact form of the Binomial Theorem:
(1+x)n=r=0∑nnCrxr
Here, our
x is
−2j2j−1. When we apply the theorem, the entire summation collapses into:
(1−2j2j−1)n
Let us simplify the base:
1−2j2j−1=2j2j−(2j−1)=2j1
So, our monster series has been reduced to:
S=j=1∑m(2j1)n=j=1∑m2nj1
The Final Stretch
We are left with a simple Geometric Progression:
2n1+22n1+23n1+⋯+2mn1
The first term
a=2n1 and the common ratio
r=2n1. Using the sum formula
S=1−ra(1−rm), we substitute our values:
S=1−2n12n1(1−(2n1)m)
After a bit of algebraic cleanup, the
2n1 terms cancel out, leaving us with the elegant result:
S=2mn(2n−1)2mn−1
You see? The fear was an illusion. By breaking the problem into manageable pieces, identifying the pattern, and using the right tools, we conquered it. Keep this mindset, and no problem will ever be too big for you.