Calculation of Areas under Curves


Consider the function $f(x)=x^2+2$.
We wish to estimate the green area enclosed by $y=f(x)$, the $x$-axis, and the vertical lines $x=1$ and $x=4$. Suppose we divide the $x$-interval into three strips of width 1 unit.

Upper Rectangles


The diagram below shows upper rectangles, which are rectangles with top edges at the maximum value of the curve on that interval.

The area of the upper rectangles,
\( \begin{align} \displaystyle
A_{upper} &= 1 \cdot f(2) + 1 \cdot f(3) + 1 \cdot f(4) \\
&= 1 \cdot 6 + 1 \cdot 11 + 1 \cdot 18 \\
&= 6 + 11 + 18 \\
&= 35
\end{align} \)

Example 1

Find $A_{upper}$ enclosed by $f(x)=x^3$, the $x$-axis and the the vertical lines $x=1$ and $x=5$, using 4 subintervals.

Lower Rectangles

The next diagram below shows lower rectangles, which are rectangles with top edges at the minimum value of the curve on that interval.

The area of the lower rectangles,
\( \begin{align} \displaystyle
A_{lower} &= 1 \cdot f(1) + 1 \cdot f(2) + 1 \cdot f(3) \\
&= 1 \cdot 3 + 1 \cdot 6 + 1 \cdot 11 \\
&= 3 + 6 + 11 \\
&= 20
\end{align} \)
It shows clearly $A_{lower} \lt Area \lt A_{upper}$, so the required area lies between $20$ and $35$.

Example 2

Find $A_{lower}$ enclosed by $f(x)=x^3$, the $x$-axis and the the vertical lines $x=1$ and $x=5$, using 4 subintervals.

If the interval $1 \le x \le 4$ is divided into $6$ equal subintervals, each of length $0.5$, then
\( \begin{align} \displaystyle
A_{upper} &= 0.5 f(1.5) + 0.5 f(2) + 0.5 f(2.5) + 0.5 f(3) + 0.5 f(3.5) + 0.5 f(4) \\
&= 0.5 \cdot 4.25 + 0.5 \cdot 6 + 0.5 \cdot 8.25 + 0.5 \cdot 11 + 0.5 \cdot 14.25 + 0.5 \cdot 18 \\
&= 2.125 + 3 + 4.125 + 5.5 + 7.125 + 9 \\
&= 30.875 \\
A_{lower} &= 0.5 f(1) + 0.5 f(1.5) + 0.5 f(2) + 0.5 f(2.5) + 0.5 f(3) + 0.5 f(3.5) \\
&= 0.5 \cot 3 + 0.5 \cdot 4.25 + 0.5 \cdot 6 + 0.5 \cdot 8.25 + 0.5 \cdot 11 + 0.5 \cdot 14.25 \\
&= 1.5 + 2.125 + 3 + 4.125 + 5.5 + 7.125 \\
&= 23.375 \\
\end{align} \)

From this refinement we conclude that the required area lies between $23.375$ and $30.875$.
As we divide into more rectangles, the estimates $A_{lower}$ and $A_{upper}$ becomes more and more accurate. Practically, as the subdivision width is reduced further and further, both $A_{lower}$ and $A_{upper}$ will converge to the actual area.

Example 3

Find $A_{upper}$ enclosed by $f(x)=x^3$, the $x$-axis and the the vertical lines $x=1$ and $x=5$, using 8 subintervals.

Example 4

Find $A_{lower}$ enclosed by $f(x)=x^3$, the $x$-axis and the the vertical lines $x=1$ and $x=5$, using 8 subintervals.

The Definite Integral

Consider the lower and upper rectangle sums for a function which is positive and increasing on the interval $[a,b]$.
The interval $[a,b]$ is now deivided into $n$ subdivisions of width $\delta x= \dfrac{b-a}{n}$.
Note that there are $n+1$ coordinates in $n$ subintervals.
$$x_0,x_1,x_2,\cdots,x_{n-1},x_n$$
Since the function is increasing,
\( \begin{align} \displaystyle
A_{lower} &= \delta x f(x_0) + \delta x f(x_1) + \delta x f(x_2) + \cdots + \delta x f(x_{n-2}) + \delta x f(x_{n-1}) \\
&= \sum^{n-1}_{i=0}\delta f(x_i) \\
A_{upper} &= \delta x f(x_1) + \delta x f(x_2) + \delta x f(x_3) + \cdots + \delta x f(x_{n-1}) + \delta x f(x_{n}) \\
&= \sum^{n}_{i=1}\delta x f(x_i) \\
A_{upper} – A_{lower} &= \delta x \big[f(x_n) – f(x_0)\big] \\
&= \dfrac{b-a}{n}\big[f(b) – f(a)\big] \\
\lim_{n \rightarrow \infty} (A_{upper} – A_{lower}) &= \lim_{n \rightarrow \infty} \dfrac{b-a}{n}\big[f(b) – f(a)\big] \\
&= 0 \\
\lim_{n \rightarrow \infty} A_{lower} &= \lim_{n \rightarrow \infty} A_{upper} \\
A_{lower} &\lt A \lt A_{upper} \\
\therefore \lim_{n \rightarrow \infty} A_{lower} &= A = \lim_{n \rightarrow \infty} A_{upper} \\
\end{align} \)




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