To solve the given problem, we begin by understanding and simplifying the series.
The given series is:
\[{ }^{n+1} C_{2} + 2\left( { }^{2} C_{2} + { }^{3} C_{2} + { }^{4} C_{2} + \ldots + { }^{n} C_{2} \right)\]We need to evaluate the sum: \({ }^{n+1} C_{2}\) and \(\sum_{k=2}^{n}{ }^{k} C_{2}\). Using the combination formula, where \({}^{r} C_{2} = \frac{r(r-1)}{2}\), we substitute into the series:
Now, substituting these into the series:
\({ }^{n+1} C_{2} = \frac{(n+1)n}{2}\)
and summation terms simplify to:
\(\frac{1}{2} \left[ \frac{n(n+1)(2n+1)}{6} - \frac{n(n+1)}{2} \right]\)
Combine these in the problem's expression:
\({ }^{n+1} C_{2} + 2\left(\frac{1}{2} \left[ \sum_{k=2}^{n} (k^{2}-k) \right] \right)\)
Upon simplifying further:
\({ }^{n+1} C_{2} + \left[ \sum_{k=2}^{n} (k^{2}-k) \right]\)
Simplifying both terms gives:
The final solution becomes: \(\frac{n(n+1)(2n+1)}{6}\)
Therefore, the correct option is:
$\frac{ n ( n +1)(2 n +1)}{6}$
\[ \left( \frac{1}{{}^{15}C_0} + \frac{1}{{}^{15}C_1} \right) \left( \frac{1}{{}^{15}C_1} + \frac{1}{{}^{15}C_2} \right) \cdots \left( \frac{1}{{}^{15}C_{12}} + \frac{1}{{}^{15}C_{13}} \right) = \frac{\alpha^{13}}{{}^{14}C_0 \, {}^{14}C_1 \cdots {}^{14}C_{12}} \]
Then \[ 30\alpha = \underline{\hspace{1cm}} \]
A substance 'X' (1.5 g) dissolved in 150 g of a solvent 'Y' (molar mass = 300 g mol$^{-1}$) led to an elevation of the boiling point by 0.5 K. The relative lowering in the vapour pressure of the solvent 'Y' is $____________ \(\times 10^{-2}\). (nearest integer)
[Given : $K_{b}$ of the solvent = 5.0 K kg mol$^{-1}$]
Assume the solution to be dilute and no association or dissociation of X takes place in solution.
Inductance of a coil with \(10^4\) turns is \(10\,\text{mH}\) and it is connected to a DC source of \(10\,\text{V}\) with internal resistance \(10\,\Omega\). The energy density in the inductor when the current reaches \( \left(\frac{1}{e}\right) \) of its maximum value is \[ \alpha \pi \times \frac{1}{e^2}\ \text{J m}^{-3}. \] The value of \( \alpha \) is _________.
\[ (\mu_0 = 4\pi \times 10^{-7}\ \text{TmA}^{-1}) \]
The binomial theorem formula is used in the expansion of any power of a binomial in the form of a series. The binomial theorem formula is
