Question
Find derivative of $f ( x )=x^{10}$ using definition.

Answer

Here, $f(x) = x^{10}$
$\therefore f(x + h) = (x + h)^{10}$
Image
Take, $x + h = t.$ When $h \rightarrow 0, t \rightarrow x$ and $h = t – x$​​​​​​​
Image
Hence, $f(x) = x^{10}$ then $f ‘(x) = 10x^9​​​​​​​$​​​​​​​

Need a full question paper?

Generate a complete, print-ready paper with questions like this in minutes — across 16+ boards, with answer keys.

Start Generating Free

Similar questions

$\lim _{x \rightarrow 2} \frac{x^2-5 x+6}{x^2-6 x+8} $
State properties of binomial distribution.
If $P(A)=\frac{1}{3}, P(B)=\frac{2}{3}$ and $P(A / B)=\frac{1}{4}$, find $P\left(A^{\prime} \cap B^{\prime}\right)$.
The prices per unit $R$ of six food items in the year $2014$ and $2015$ are given in the following table. Taking $2014$ as the base year, compute the general index number for the price of food items and state the overall rise in prices of these food items.
Fit a linear equation from the following data about the variable $y$ of a time series.
$n=6, \Sigma y=378, \Sigma t y=1399$
A problem in Mathematics is given to Dhyan, Kaushal and Namrata to solve. The probabilities of them solving the problem correctly are $\frac{2}{3}, \frac{3}{4}$, and $\frac{1}{2}$ respectively. Find the probability that the problem is solved correctly.OR $4$ couples $($husband-wife$)$ attend a party. Two persons are randomly selected from these $8$ persons. Find the probability that the selected two persons are, $(1)$ husband and wife, $(2)$ One man and one woman who are not husband and wife. Find the probability.
Obtain the chain base index number from the fixed base index nuimbers given below with the year $2007-08$ a the base year for the wholesale prices of machines and equipments :
year $2008-09$ $2009-10$ $2010-11$ $2011-12$ $2012-13$
Index number of machines and equipments $117.4$ $118$ $121.3$ $125.1$ $128.4$
Find $\frac{d y}{d x}$ if $y =\frac{a x+b}{b x+a}$ (a and $b$ are constants).
$(5 x-1) \cdot(y+1)=9$
A normal variable $X$ has the following probability density function :
$f(x) = \frac{1}{6 \sqrt{2 \pi}} e^{-\frac{1}{72}(x-100)^{2}}, – \infty < x < \infty $
For this distribution, obtain the estimated limits for the exact middle $50 \%$ of the observations.