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The Binomial Theorem and Evaluating Binomial Sums

(x+y)n=∑k=0n(nk)xkyn−k(x+y)^{n}=\sum_{k=0}^{n}\binom{n}{k}x^{k}y^{n-k}; read backwards, any sum ∑k(nk)ck\sum_k\binom{n}{k}c^{k} collapses to (1+c)n(1+c)^{n}.

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The binomial theorem expands a power of a sum into a weighted sum of monomials, where the weights are the binomial coefficients (nk)=n!k! (n−k)!\binom{n}{k}=\tfrac{n!}{k!\,(n-k)!}. Its real konkur value is running it in reverse: when you spot a sum whose terms are (nk)\binom{n}{k} times a power, you can fold the whole thing back into a single closed form instead of adding terms one by one.

The theorem

For any reals (or commuting elements) x,yx,y and integer n≥0n\ge 0,

(x+y)n  =  ∑k=0n(nk) xk y n−k.(x+y)^{n} \;=\; \sum_{k=0}^{n}\binom{n}{k}\,x^{k}\,y^{\,n-k}.

The coefficient (nk)\binom{n}{k} counts the number of ways to choose the kk factors that contribute an xx (the rest contribute a yy), which is exactly why the expansion is combinatorial. The exponents on xx and yy always sum to nn, and the coefficients are the entries of row nn of Pascal's triangle, obeying (nk)=(n−1k−1)+(n−1k)\binom{n}{k}=\binom{n-1}{k-1}+\binom{n-1}{k}.

The one-variable form you actually use

Setting x=cx=c and y=1y=1 gives the workhorse identity for collapsing sums:

∑k=0n(nk) ck  =  (1+c)n.\sum_{k=0}^{n}\binom{n}{k}\,c^{k} \;=\; (1+c)^{n}.

Several standard special cases drop out by choosing cc:

Choice Identity Reading
c=1c=1 ∑k=0n(nk)=2n\displaystyle\sum_{k=0}^{n}\binom{n}{k}=2^{n} number of subsets of an nn-set
c=−1c=-1 ∑k=0n(−1)k(nk)=0\displaystyle\sum_{k=0}^{n}(-1)^{k}\binom{n}{k}=0 equally many even- and odd-size subsets (n≥1n\ge 1)
c=2c=2 ∑k=0n2k(nk)=3n\displaystyle\sum_{k=0}^{n}2^{k}\binom{n}{k}=3^{n} the pattern behind the worked question

How to apply

  1. Match the shape. Write the summand as (nk) (something)k\binom{n}{k}\,(\text{something})^{k}. Identify nn from the binomial coefficient and read off the base cc as whatever is raised to the matching power kk.
  2. Check the range. The collapse ∑k=0n(nk)ck=(1+c)n\sum_{k=0}^{n}\binom{n}{k}c^{k}=(1+c)^{n} needs the index to run over the full range k=0,…,nk=0,\dots,n. A partial sum does not simplify this way.
  3. Substitute and evaluate. Replace the sum by (1+c)n(1+c)^{n} and compute the resulting power.

Mini-example

Evaluate S=∑k=06(6k) 3kS=\sum_{k=0}^{6}\binom{6}{k}\,3^{k}. The summand is (6k) 3k\binom{6}{k}\,3^{k}, so n=6n=6 and c=3c=3, and the index runs over the full range. Hence

S=(1+3)6=46=4096.S=(1+3)^{6}=4^{6}=4096.

No term-by-term addition is needed — recognizing the form does all the work.

Exam trick: the instant you see ∑k=0n(nk)ck\sum_{k=0}^{n}\binom{n}{k}c^{k}, write (1+c)n(1+c)^{n}. Confirm the bounds are 00 to nn first; if the sum starts or stops early, peel off the missing terms (e.g. ∑k=1n= 2n−1\sum_{k=1}^{n}=\,2^{n}-1 for c=1c=1) before collapsing.

فرمول‌های کلیدی

Binomial theorem
(x+y)n=∑k=0n(nk)xky n−k(x+y)^{n}=\sum_{k=0}^{n}\binom{n}{k}x^{k}y^{\,n-k}

Expands a power of a sum; $\binom{n}{k}$ counts the $k$ factors that supply an $x$, so exponents always total $n$.

One-variable collapse
∑k=0n(nk)ck=(1+c)n\sum_{k=0}^{n}\binom{n}{k}c^{k}=(1+c)^{n}

Set $x=c,\,y=1$: any full-range sum of $\binom{n}{k}$ times a power folds into a single base raised to $n$.

Sum of a binomial row
∑k=0n(nk)=2n\sum_{k=0}^{n}\binom{n}{k}=2^{n}

Case $c=1$: the total of Pascal's row $n$, equivalently the number of subsets of an $n$-element set.

Alternating row sum
∑k=0n(−1)k(nk)=0(n≥1)\sum_{k=0}^{n}(-1)^{k}\binom{n}{k}=0\quad(n\ge 1)

Case $c=-1$: even-size and odd-size subsets are equinumerous for any non-empty set.

#binomial-theorem#binomial-coefficients#pascals-triangle#combinatorial-identity#closed-form#combinatorics#discrete-math

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