Find the length and width of a rectangle that has perimeter 64 meters and a maxi...
Jul 15, 2024
Find the length and width of a rectangle that has perimeter 64 meters and a maximum area.
Solution by Steps
step 1
Let the length of the rectangle be l and the width be w. The perimeter of the rectangle is given by 2l+2w=64
step 2
Simplify the perimeter equation: l+w=32
step 3
To find the maximum area, we need to express the area A in terms of one variable. The area of the rectangle is A=l⋅w
step 4
From the perimeter equation, solve for w: w=32−l
step 5
Substitute w into the area formula: A=l⋅(32−l)
step 6
Simplify the area formula: A=32l−l2
step 7
To find the maximum area, take the derivative of A with respect to l: dldA=32−2l
step 8
Set the derivative equal to zero to find the critical points: 32−2l=0
step 9
Solve for l: l=16
step 10
Substitute l=16 back into the equation w=32−l: w=32−16=16
Answer
The length and width of the rectangle that has a perimeter of 64 meters and a maximum area are both 16 meters.
Key Concept
Optimization of area under a constraint
Explanation
To maximize the area of a rectangle with a given perimeter, the rectangle must be a square. In this case, both the length and width are 16 meters.
Find the point on the graph of the function f(x) = sqrt(x) that is closest to the point (18, 0)
Solution by Steps
step 1
Let the point on the graph of the function be (x,x). We need to minimize the distance between this point and (18,0). The distance formula is given by d=(x−18)2+(x−0)2
step 2
To minimize the distance, we can minimize the square of the distance to avoid dealing with the square root. So, we minimize d2=(x−18)2+(x)2
step 3
Simplify the expression: d2=(x−18)2+x
step 4
Take the derivative of d2 with respect to x: dxd[(x−18)2+x]=2(x−18)+1
step 5
Set the derivative equal to zero to find the critical points: 2(x−18)+1=0
step 6
Solve for x: 2x−36+1=0⟹2x−35=0⟹x=17.5
step 7
The corresponding y-coordinate is 17.5
step 8
Therefore, the point on the graph of f(x)=x that is closest to (18,0) is (17.5,17.5)
Answer
The point on the graph of f(x)=x that is closest to (18,0) is (17.5,17.5).
Key Concept
Minimizing Distance
Explanation
To find the point on the graph closest to a given point, we minimize the distance between the points by using the distance formula and finding the critical points of the resulting function.
Find two positive numbers whose product is 193 and whose sum is a minimum.
Solution by Steps
step 1
Let the two positive numbers be x and y. We know that their product is 193, so we have the equation xy=193
step 2
We need to minimize the sum of these two numbers, S=x+y
step 3
From the product equation xy=193, we can express y in terms of x: y=x193
step 4
Substitute y into the sum equation: S=x+x193
step 5
To find the minimum sum, we need to take the derivative of S with respect to x and set it to zero: dxdS=1−x2193=0
step 6
Solve for x: 1=x2193⟹x2=193⟹x=193
step 7
Since x and y are symmetric in the product equation, y will also be 193
step 8
Therefore, the two positive numbers are both 193
Answer
The two positive numbers are both 193.
Key Concept
Optimization of a function
Explanation
To find two numbers whose product is fixed and whose sum is minimized, we express one variable in terms of the other, substitute into the sum equation, and then use calculus to find the minimum value.
Find two positive numbers such that the sum of the first and twice the second is 88 and whose product is a maximum.
Generated Graph
Solution by Steps
step 2
We need to express y in terms of x. From the equation x+2y=88, we get y=288−x
step 3
The product of the two numbers is P=x⋅y=x⋅288−x=288x−x2
step 4
To maximize the product P, we need to find the critical points by taking the derivative of P with respect to x and setting it to zero
step 5
The derivative is dxdP=288−2x. Setting this equal to zero gives 88−2x=0, so x=44
step 6
Substituting x=44 back into the equation y=288−x, we get y=288−44=22
step 7
Therefore, the two positive numbers are x=44 and y=22
A
Key Concept
Optimization
Explanation
The problem involves finding the maximum product of two numbers under a given constraint, which is a typical optimization problem. By expressing one variable in terms of the other and using calculus to find the critical points, we can determine the values that maximize the product.