What is the sum of the series nCr . 2r?

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In summary, the sum of series nCr . 2r can be calculated using the formula (1 + 2n)^(r-1), where nCr . 2r represents the combination of choosing r items at a time from a set of n items, multiplied by 2r. To find the value of nCr . 2r, you can use the combination formula nCr = n! / (r! * (n-r)!), and the sum can be simplified using algebraic manipulations. This formula has various real-world applications in fields such as statistics, probability, combinatorics, and computer science.
  • #1
cgchayan
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what will be the sum of this series?
[tex]\Sigma[/tex] nCr . 2r
where r = 0 to n
 
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  • #2
Hint:
[tex]
\sum_{r=0}^n _nC_r \cdot 2^r = \sum_{r=0}^n _nC_r \cdot 2^r \cdot 1^{n-r}
[/tex]
 
  • #3
thanx
 
  • #4
thanks for sharing information...
 
  • #5


The sum of the series nCr . 2r, where r = 0 to n, is equal to 2^n. This can be proven using the binomial theorem, where (1+2)^n is expanded to (nC0)(2^0) + (nC1)(2^1) + (nC2)(2^2) + ... + (nCn)(2^n). This is equivalent to the given series, where nCr is the coefficient of the term (2^r). Thus, the sum of the series is 2^n.
 

1. What is the formula for calculating the sum of series nCr . 2r?

The formula for calculating the sum of series nCr . 2r is (1 + 2n)^(r-1).

2. What does nCr . 2r represent in the sum of series formula?

nCr . 2r represents the combination of choosing r items at a time from a set of n items, multiplied by 2r.

3. How do you find the value of nCr . 2r in the sum of series formula?

To find the value of nCr . 2r, you can use the combination formula nCr = n! / (r! * (n-r)!). Then, multiply the result by 2r.

4. Can the sum of series nCr . 2r be simplified?

Yes, the sum of series nCr . 2r can be simplified using algebraic manipulations. For example, you can use the binomial theorem to expand (1 + 2n)^(r-1) and then simplify further.

5. What are some real-world applications of the sum of series nCr . 2r?

The sum of series nCr . 2r has various applications in statistics, probability, and combinatorics. It can be used to calculate the number of possible combinations in a given scenario, such as choosing a committee from a group of people with different skills and backgrounds. It is also useful in analyzing the probability of certain outcomes in an experiment or event. Additionally, it has applications in computer science and coding, such as in the development of algorithms for data manipulation and sorting.

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