Concept:
For optimization problems involving maximum area or minimum cost, we first express the required quantity in terms of a single variable and then use derivatives to find critical points.
For a rectangle:
\[
\text{Perimeter} = 2(l+w)
\]
and
\[
\text{Area} = lw
\]
When perimeter is fixed, the rectangle having maximum area is always a square.
Step 1: Forming the perimeter equation.
Let the length of the rectangle be \(l\) metres and breadth be \(w\) metres.
Given total wire length \(=64\) m.
Therefore,
\[
2(l+w)=64
\]
Dividing by 2:
\[
l+w=32
\]
Thus,
\[
w=32-l
\]
Now the breadth has been expressed in terms of the length.
Step 2: Forming the area function.
Area of rectangle:
\[
A=l\times w
\]
Substituting \(w=32-l\):
\[
A=l(32-l)
\]
Expanding:
\[
A=32l-l^2
\]
Thus, the area function is:
\[
A(l)=32l-l^2
\]
Step 3: Differentiating the area function.
Differentiate with respect to \(l\):
\[
\frac{dA}{dl}=32-2l
\]
For maximum area:
\[
\frac{dA}{dl}=0
\]
Therefore,
\[
32-2l=0
\]
\[
2l=32
\]
\[
l=16
\]
Step 4: Finding the breadth.
Using
\[
w=32-l
\]
\[
w=32-16=16
\]
Thus,
\[
l=w=16
\]
Hence the rectangle becomes a square.
Step 5: Verifying maximum condition using second derivative.
Differentiate again:
\[
\frac{d^2A}{dl^2}=-2
\]
Since
\[
\frac{d^2A}{dl^2}<0
\]
the area is maximum at \(l=16\).
Hence the required dimensions are:
\[
16\text{ m} \times 16\text{ m}
\]