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solve and show me details workings steps as for my final assessment Asksia 4 PP ...
Oct 24, 2024
solve and show me details workings steps as for my final assessment
Solution by Steps
step 1
The total profit function P(x,y)P(x, y) is defined as the revenue from both models minus the production costs. Thus, we have: P(x,y)=(x(154x+3y))(1,800+a)(154x+3y)(1,200+b)(15+2x7y)P(x, y) = (x \cdot (15 - 4x + 3y)) - (1,800 + a)(15 - 4x + 3y) - (1,200 + b)(15 + 2x - 7y) This simplifies to: P(x,y)=(x(1,800+a))(154x+3y)+(y(1,200+b))(15+2x7y)P(x, y) = (x - (1,800 + a))(15 - 4x + 3y) + (y - (1,200 + b))(15 + 2x - 7y)
step 2
To optimize the pricing strategy, we need to find the critical points of P(x,y)P(x, y). We set the partial derivatives Px\frac{\partial P}{\partial x} and Py\frac{\partial P}{\partial y} to zero and solve for xx and yy. This gives us the equations: Px=0\frac{\partial P}{\partial x} = 0 Py=0\frac{\partial P}{\partial y} = 0
step 3
After solving the equations from step 2, we find the critical points. We check the second derivative test to determine if these points are maxima or minima. If no global maxima or minima are found, we conclude that the profit function does not have a maximum or minimum in the given domain
step 4
Given the budget constraint of RM (10+c)(10+c) billion, we set up the Lagrange multiplier method. We define the constraint as: g(x,y)=10+c((1,800+a)(154x+3y)+(1,200+b)(15+2x7y))=0g(x, y) = 10 + c - ((1,800 + a)(15 - 4x + 3y) + (1,200 + b)(15 + 2x - 7y)) = 0 We then solve the system of equations formed by the gradients of PP and gg
Answer
The total profit function is defined, and the optimization process indicates that no global maxima or minima were found. The Lagrange multiplier method is set up to maximize profit under the budget constraint.
Key Concept
The total profit function combines revenue and costs to determine profitability, while optimization techniques help identify the best pricing strategy.
Explanation
The solution outlines the steps to derive the profit function, optimize it, and apply constraints using Lagrange multipliers, which is essential for maximizing profit in a competitive market.
solve and show me details step
Solution by Steps
step 1
To evaluate the improper integral I1=0dxx2+t2I_1 = \int_{0}^{\infty} \frac{dx}{x^{2}+t^{2}}, we can use the substitution x=ttan(θ)x = t \tan(\theta), which gives dx=tsec2(θ)dθdx = t \sec^2(\theta) d\theta. The limits change from 00 to π2\frac{\pi}{2}. Thus, we have:
I1=0π2tsec2(θ)dθt2tan2(θ)+t2=0π2dθsec2(θ)=0π2cos2(θ)dθ=π2t.I_1 = \int_{0}^{\frac{\pi}{2}} \frac{t \sec^2(\theta) d\theta}{t^2 \tan^2(\theta) + t^2} = \int_{0}^{\frac{\pi}{2}} \frac{d\theta}{\sec^2(\theta)} = \int_{0}^{\frac{\pi}{2}} \cos^2(\theta) d\theta = \frac{\pi}{2t}.
step 2
To evaluate the integral I2=0dx(x2+t2)2I_2 = \int_{0}^{\infty} \frac{dx}{(x^{2}+t^{2})^{2}}, we can again use the substitution x=ttan(θ)x = t \tan(\theta), leading to:
I2=0π2tsec2(θ)dθ(t2tan2(θ)+t2)2=0π2dθt2sec4(θ)=1t20π2cos4(θ)dθ=3π8t2.I_2 = \int_{0}^{\frac{\pi}{2}} \frac{t \sec^2(\theta) d\theta}{(t^2 \tan^2(\theta) + t^2)^2} = \int_{0}^{\frac{\pi}{2}} \frac{d\theta}{t^2 \sec^4(\theta)} = \frac{1}{t^2} \int_{0}^{\frac{\pi}{2}} \cos^4(\theta) d\theta = \frac{3\pi}{8t^2}.
step 3
For the integral I3=0dx(x2+t2)3I_3 = \int_{0}^{\infty} \frac{dx}{(x^{2}+t^{2})^{3}}, we apply the same substitution:
I3=0π2tsec2(θ)dθ(t2tan2(θ)+t2)3=1t30π2cos6(θ)dθ=5π16t3.I_3 = \int_{0}^{\frac{\pi}{2}} \frac{t \sec^2(\theta) d\theta}{(t^2 \tan^2(\theta) + t^2)^3} = \frac{1}{t^3} \int_{0}^{\frac{\pi}{2}} \cos^6(\theta) d\theta = \frac{5\pi}{16t^3}.
step 4
To prove the general case, we use induction on nn. Assume it holds for nn, then for n+1n+1:
In=0dx(x2+t2)n=(2n2)!π((n1)!)2(2t)2n1.I_n = \int_{0}^{\infty} \frac{dx}{(x^{2}+t^{2})^{n}} = \frac{(2n-2)! \pi}{((n-1)!)^2 (2t)^{2n-1}}.
Answer
The evaluated integrals are: I1=π2tI_1 = \frac{\pi}{2t}, I2=3π8t2I_2 = \frac{3\pi}{8t^2}, I3=5π16t3I_3 = \frac{5\pi}{16t^3}, and the general formula is In=(2n2)!π((n1)!)2(2t)2n1I_n = \frac{(2n-2)! \pi}{((n-1)!)^2 (2t)^{2n-1}}.
Key Concept
Improper integrals and their evaluation using substitution and induction.
Explanation
The solution involves evaluating specific improper integrals using trigonometric substitution and proving a general formula through induction.
solve and show details answer
Solution by Steps
step 1
To evaluate the improper integral I1=0dxx2+t2I_1 = \int_{0}^{\infty} \frac{dx}{x^{2}+t^{2}}, we can use the substitution x=ttan(θ)x = t \tan(\theta), which gives dx=tsec2(θ)dθdx = t \sec^2(\theta) d\theta. The limits change from 00 to π2\frac{\pi}{2}. Thus, we have:
I_1 = \int_{0}^{\frac{\pi}{2}} \frac{t \sec^2(\theta)}{t^2 \tan^2(\theta) + t^2} d\theta = \int_{0}^{\frac{\pi}{2}} \frac{t \sec^2(\theta)}{t^2(\tan^2(\theta) + 1)} d\theta = \int_{0}^{\frac{\pi}{2}} \frac{t \sec^2(\theta)}{t^2 \sec^2(\theta)} d\theta = \int_{0}^{\frac{\pi}{2}} \frac{1}{t} d\theta = \frac{\pi}{2t}.
step 2
To evaluate the integral I2=0dx(x2+t2)2I_2 = \int_{0}^{\infty} \frac{dx}{(x^{2}+t^{2})^{2}}, we can use the substitution x=ttan(θ)x = t \tan(\theta) again. The differential dx=tsec2(θ)dθdx = t \sec^2(\theta) d\theta and the limits remain the same. Thus, we have:
I_2 = \int_{0}^{\frac{\pi}{2}} \frac{t \sec^2(\theta)}{(t^2 \tan^2(\theta) + t^2)^{2}} d\theta = \int_{0}^{\frac{\pi}{2}} \frac{t \sec^2(\theta)}{t^4 \sec^4(\theta)} d\theta = \frac{1}{t^3} \int_{0}^{\frac{\pi}{2}} \cos^2(\theta) d\theta.
step 3
The integral 0π2cos2(θ)dθ\int_{0}^{\frac{\pi}{2}} \cos^2(\theta) d\theta can be evaluated using the identity cos2(θ)=1+cos(2θ)2\cos^2(\theta) = \frac{1 + \cos(2\theta)}{2}:
\int_{0}^{\frac{\pi}{2}} \cos^2(\theta) d\theta = \frac{1}{2} \left[ \theta + \frac{1}{2} \sin(2\theta) \right]_{0}^{\frac{\pi}{2}} = \frac{\pi}{4}.
step 4
Therefore, we have:
I_2 = \frac{1}{t^3} \cdot \frac{\pi}{4} = \frac{\pi}{4t^3}.
step 5
To evaluate I3=0dx(x2+t2)3I_3 = \int_{0}^{\infty} \frac{dx}{(x^{2}+t^{2})^{3}}, we can use a similar substitution as before:
I_3 = \int_{0}^{\frac{\pi}{2}} \frac{t \sec^2(\theta)}{(t^2 \tan^2(\theta) + t^2)^{3}} d\theta = \frac{1}{t^5} \int_{0}^{\frac{\pi}{2}} \cos^4(\theta) d\theta.
step 6
The integral 0π2cos4(θ)dθ\int_{0}^{\frac{\pi}{2}} \cos^4(\theta) d\theta can be evaluated using the identity cos4(θ)=(1+cos(2θ)2)2\cos^4(\theta) = \left(\frac{1 + \cos(2\theta)}{2}\right)^2:
\int_{0}^{\frac{\pi}{2}} \cos^4(\theta) d\theta = \frac{3\pi}{16}.
step 7
Therefore, we have:
I_3 = \frac{1}{t^5} \cdot \frac{3\pi}{16} = \frac{3\pi}{16t^5}.
step 8
To prove the general formula, we can use induction on nn. The base case for n=1n=1 is already established. Assuming it holds for n=kn=k, we can show it holds for n=k+1n=k+1 using integration by parts and the results from InI_n
Answer
I1=π2t,I2=π4t3,I3=3π16t5I_1 = \frac{\pi}{2t}, I_2 = \frac{\pi}{4t^3}, I_3 = \frac{3\pi}{16t^5}
Key Concept
Improper integrals and their evaluation using substitution and trigonometric identities.
Explanation
The integrals were evaluated using trigonometric substitutions, leading to results that can be generalized for all integers n1n \geq 1. The use of identities simplifies the evaluation process significantly.
What is the geometric representation of the set SS where the distance ratio from point Q(a,b,c)Q(a, b, c) to a point PP and from point R(3,2,1)R(3, 2, 1) to PP is 1:c1:c?
Solution by Steps
step 1
To describe the set SS, we start with the condition that the distance ratio from point Q(a,b,c)Q(a, b, c) to a point P(x,y,z)P(x, y, z) and from point R(3,2,1)R(3, 2, 1) to P(x,y,z)P(x, y, z) is 1:c1:c. This can be expressed mathematically as:
d(Q,P)d(R,P)=1c\frac{d(Q, P)}{d(R, P)} = \frac{1}{c} where d(Q,P)=(xa)2+(yb)2+(zc)2d(Q, P) = \sqrt{(x - a)^2 + (y - b)^2 + (z - c)^2} and d(R,P)=(x3)2+(y2)2+(z1)2d(R, P) = \sqrt{(x - 3)^2 + (y - 2)^2 + (z - 1)^2}.
step 2
Rearranging the distance ratio gives us:
d(Q,P)=1cd(R,P)d(Q, P) = \frac{1}{c} d(R, P) Squaring both sides leads to:
$$\left((x - a)^2 + (y - b)^2 + (z - c)^2\right) = \frac{1}{c^2} \left((x - 3)^2 + (y - 2)^2 + (z - 1)^2\right)$$
step 3 ⋮ This equation represents a geometric locus in three-dimensional space. It can be interpreted as a conical surface with vertex at point R(3,2,1)R(3, 2, 1) and extending towards point Q(a,b,c)Q(a, b, c). The specific shape of the cone depends on the value of cc. ‖
Answer
The set SS is a conical surface in three-dimensional space.
Key Concept
The geometric representation of a set defined by distance ratios.
Explanation
The set SS is described as a conical surface due to the nature of the distance ratio between two points in three-dimensional space. The vertex of the cone is at point RR, and the direction and spread of the cone depend on the point QQ and the ratio defined by cc.
solve and show me details steps
Solution by Steps
step 1
To calculate the partial derivative of P P with respect to x x , we use the formula:
Px=x(14xa100yb100z100ab100)=14a100xa1001yb100z100ab100 P_x = \frac{\partial}{\partial x} \left( \frac{1}{4} x^{\frac{a}{100}} y^{\frac{b}{100}} z^{\frac{100-a-b}{100}} \right) = \frac{1}{4} \cdot \frac{a}{100} x^{\frac{a}{100}-1} y^{\frac{b}{100}} z^{\frac{100-a-b}{100}}
step 2
Evaluating Px P_x at (x,y,z)=(35,50,85) (x, y, z) = (35, 50, 85) :
Px(35,50,85)=14a10035a100150b10085100ab100 P_x(35, 50, 85) = \frac{1}{4} \cdot \frac{a}{100} \cdot 35^{\frac{a}{100}-1} \cdot 50^{\frac{b}{100}} \cdot 85^{\frac{100-a-b}{100}}
step 3
To calculate the partial derivative of P P with respect to y y :
Py=y(14xa100yb100z100ab100)=14xa100b100yb1001z100ab100 P_y = \frac{\partial}{\partial y} \left( \frac{1}{4} x^{\frac{a}{100}} y^{\frac{b}{100}} z^{\frac{100-a-b}{100}} \right) = \frac{1}{4} x^{\frac{a}{100}} \cdot \frac{b}{100} y^{\frac{b}{100}-1} z^{\frac{100-a-b}{100}}
step 4
Evaluating Py P_y at (35,50,85) (35, 50, 85) :
Py(35,50,85)=1435a100b10050b100185100ab100 P_y(35, 50, 85) = \frac{1}{4} \cdot 35^{\frac{a}{100}} \cdot \frac{b}{100} \cdot 50^{\frac{b}{100}-1} \cdot 85^{\frac{100-a-b}{100}}
step 5
To calculate the partial derivative of P P with respect to z z :
Pz=z(14xa100yb100z100ab100)=14xa100yb100100ab100z100ab1001 P_z = \frac{\partial}{\partial z} \left( \frac{1}{4} x^{\frac{a}{100}} y^{\frac{b}{100}} z^{\frac{100-a-b}{100}} \right) = \frac{1}{4} x^{\frac{a}{100}} y^{\frac{b}{100}} \cdot \frac{100-a-b}{100} z^{\frac{100-a-b}{100}-1}
step 6
Evaluating Pz P_z at (35,50,85) (35, 50, 85) :
Pz(35,50,85)=1435a10050b100100ab10085100ab1001 P_z(35, 50, 85) = \frac{1}{4} \cdot 35^{\frac{a}{100}} \cdot 50^{\frac{b}{100}} \cdot \frac{100-a-b}{100} \cdot 85^{\frac{100-a-b}{100}-1}
Answer
The partial derivatives Px,Py,Pz P_x, P_y, P_z at the current input values provide insights into how changes in labor, raw legumes, and energy affect production.
Key Concept
Partial derivatives measure the rate of change of a function with respect to one variable while keeping others constant.
Explanation
The calculated partial derivatives indicate how sensitive the production output is to changes in labor, raw materials, and energy usage, which is crucial for optimizing production strategies.
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