Board paper

Business Mathematics Ii 2023 Board Question Paper

MTH 202 · Business Mathematics II

Programme
BBM
Academic year
Semester 2
Exam year
2023 AD
Sitting
regular
Full marks
100
Duration
180 minutes

Tribhuvan University

Faculty of Management

Office of the Dean

2023 AD / Regular Examination

Course: MTH 202 · Business Mathematics II

Level: Bachelor of Business Management (BBM) · Semester 2

Full Marks: 100

Time: 3 hrs.

Candidates are required to give their answers in their own words as far as practicable. The figures in the margin indicate full marks.

Section A

Brief Answer Questions:

[10*2=20]
  1. Integrate: (x2+ex+1x+1)dx\int \left( x^2 + e^x + \frac{1}{x} + 1 \right) dx

    [2]
    View model solution

    Step-by-Step Solution:

    Evaluate the indefinite integral:

    I=(x2+ex+1x+1)dxI = \int \left( x^2 + e^x + \frac{1}{x} + 1 \right) dx

    Step 1: Apply the sum rule of integration

    I=x2dx+exdx+1xdx+1dxI = \int x^2 dx + \int e^x dx + \int \frac{1}{x} dx + \int 1 dx

    Step 2: Integrate each term individually

    1. x2dx=x2+12+1=x33\int x^2 dx = \frac{x^{2+1}}{2+1} = \frac{x^3}{3}
    2. exdx=ex\int e^x dx = e^x
    3. 1xdx=lnx\int \frac{1}{x} dx = \ln|x|
    4. 1dx=x\int 1 dx = x

    Step 3: Combine terms and add constant of integration (CC)

    I=x33+ex+lnx+x+CI = \frac{x^3}{3} + e^x + \ln|x| + x + C

    Final Answer: x33+ex+lnx+x+C\frac{x^3}{3} + e^x + \ln|x| + x + C.

  2. Find the area of curve bounded by x-axis and ordinates of y=7x2y = 7x^2 from x1=0x_1 = 0and x2=2.x_2 = 2.

    [2]
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    Step-by-Step Solution:

    Given:

    • Curve: y=7x2y = 7x^2
    • Bounded by the xx-axis (y=0y = 0) and the vertical lines (ordinates) x1=0x_1 = 0 and x2=2x_2 = 2.

    Step 1: Set up the definite integral for area

    Since y=7x20y = 7x^2 \ge 0 on the interval [0,2][0, 2], the area AA is:

    A=02ydx=027x2dxA = \int_0^2 y \, dx = \int_0^2 7x^2 dx

    Step 2: Evaluate the definite integral

    A=7[x33]02=7(233033)A = 7 \left[ \frac{x^3}{3} \right]_0^2 = 7 \left( \frac{2^3}{3} - \frac{0^3}{3} \right)
    A=7(83)=56318.67 sq. unitsA = 7 \left( \frac{8}{3} \right) = \frac{56}{3} \approx 18.67 \text{ sq. units}

    Final Answer: The area is 563\frac{56}{3} square units (or approximately 18.6718.67 square units).

  3. Solve the following difference equation: Yt=15Yt1Y_t = 15 Y_{t-1} when Y0=10.Y_0 = 10.

    [2]
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    Step-by-Step Solution:

    Given first-order homogeneous difference equation:

    Yt=15Yt1with initial condition Y0=10Y_t = 15 Y_{t-1} \quad \text{with initial condition } Y_0 = 10

    Step 1: Standard form and general solution

    A first-order linear homogeneous difference equation of the form Yt=bYt1Y_t = b Y_{t-1} has the general solution:

    Yt=AbtY_t = A \cdot b^t
    Here, b=15b = 15, so:
    Yt=A(15)tY_t = A \cdot (15)^t

    Step 2: Apply the initial condition Y0=10Y_0 = 10

    At t=0t = 0:

    Y0=A(15)0=A1=AY_0 = A \cdot (15)^0 = A \cdot 1 = A
    Since Y0=10Y_0 = 10:
    A=10A = 10

    Step 3: Particular solution

    Yt=10(15)tY_t = 10 \cdot (15)^t

    Final Answer: Yt=10(15)tY_t = 10(15)^t.

  4. Find FxandFyF_x and F_ywhen F(x,y)=2x3y2+7x2y3F(x, y) = 2x^3 y^2 + 7x^2 y^3

    [2]
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    Step-by-Step Solution:

    Given multivariable function:

    F(x,y)=2x3y2+7x2y3F(x, y) = 2x^3 y^2 + 7x^2 y^3

    Step 1: Compute first-order partial derivative with respect to xx (FxF_x)

    Treat yy as a constant:

    Fx=Fx=x(2x3y2)+x(7x2y3)F_x = \frac{\partial F}{\partial x} = \frac{\partial}{\partial x}(2x^3 y^2) + \frac{\partial}{\partial x}(7x^2 y^3)
    Fx=2y2ddx(x3)+7y3ddx(x2)F_x = 2y^2 \frac{d}{dx}(x^3) + 7y^3 \frac{d}{dx}(x^2)
    Fx=2y2(3x2)+7y3(2x)=6x2y2+14xy3F_x = 2y^2(3x^2) + 7y^3(2x) = 6x^2 y^2 + 14x y^3

    Step 2: Compute first-order partial derivative with respect to yy (FyF_y)

    Treat xx as a constant:

    Fy=Fy=y(2x3y2)+y(7x2y3)F_y = \frac{\partial F}{\partial y} = \frac{\partial}{\partial y}(2x^3 y^2) + \frac{\partial}{\partial y}(7x^2 y^3)
    Fy=2x3ddy(y2)+7x2ddy(y3)F_y = 2x^3 \frac{d}{dy}(y^2) + 7x^2 \frac{d}{dy}(y^3)
    Fy=2x3(2y)+7x2(3y2)=4x3y+21x2y2F_y = 2x^3(2y) + 7x^2(3y^2) = 4x^3 y + 21x^2 y^2

    Final Answer:

    • Fx=6x2y2+14xy3F_x = 6x^2 y^2 + 14xy^3
    • Fy=4x3y+21x2y2F_y = 4x^3 y + 21x^2 y^2
  5. Solve the differential equation: dydt=7ty\frac{dy}{dt} = 7ty

    [2]
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    Step-by-Step Solution:

    Given differential equation:

    dydt=7ty\frac{dy}{dt} = 7ty

    Step 1: Separate the variables

    Divide both sides by yy and multiply by dtdt:

    1ydy=7tdt\frac{1}{y} dy = 7t dt

    Step 2: Integrate both sides

    1ydy=7tdt\int \frac{1}{y} dy = \int 7t dt
    lny=7t22+C1\ln|y| = \frac{7t^2}{2} + C_1

    Step 3: Solve for yy

    Exponentiate both sides:

    y=e72t2+C1=eC1e72t2|y| = e^{\frac{7}{2}t^2 + C_1} = e^{C_1} \cdot e^{\frac{7}{2}t^2}
    Letting A=±eC1A = \pm e^{C_1} (an arbitrary non-zero constant, or 0 if y=0y=0):
    y(t)=Ae72t2=Ae3.5t2y(t) = A e^{\frac{7}{2}t^2} = A e^{3.5t^2}

    Final Answer: y(t)=Ae3.5t2y(t) = A e^{3.5 t^2} (where AA is an arbitrary constant).

  6. If f(x,y)=x2+3xy+5f(x, y) = x^2 + 3xy + 5, find the value of f(2, 3).

    [2]
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    Step-by-Step Solution:

    Given function:

    f(x,y)=x2+3xy+5f(x, y) = x^2 + 3xy + 5

    To find f(2,3)f(2, 3), substitute x=2x = 2 and y=3y = 3:

    f(2,3)=22+3(2)(3)+5f(2, 3) = 2^2 + 3(2)(3) + 5
    f(2,3)=4+18+5f(2, 3) = 4 + 18 + 5
    f(2,3)=27f(2, 3) = 27

    Final Answer: f(2,3)=27f(2, 3) = 27.

  7. Write down the order and degree of differential equation:(d2ydx2)3(dydx)3+2y=0\left(\frac{d^2y}{dx^2}\right)^3 - \left(\frac{dy}{dx}\right)^3 + 2y = 0

    [2]
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    Step-by-Step Solution:

    Given differential equation:

    (d2ydx2)3(dydx)3+2y=0\left(\frac{d^2y}{dx^2}\right)^3 - \left(\frac{dy}{dx}\right)^3 + 2y = 0

    1. Order of the differential equation:

    • The order is defined as the order of the highest derivative occurring in the equation.
    • The derivatives present are dydx\frac{dy}{dx} (first derivative) and d2ydx2\frac{d^2y}{dx^2} (second derivative).
    • The highest derivative is d2ydx2\frac{d^2y}{dx^2}, so:
      Order=2\mathbf{\text{Order} = 2}

    2. Degree of the differential equation:

    • The degree is defined as the power (exponent) of the highest order derivative after the equation has been cleared of fractions and radicals regarding derivatives.
    • The highest derivative d2ydx2\frac{d^2y}{dx^2} is raised to the power of 33.
    • Therefore:
      Degree=3\mathbf{\text{Degree} = 3}

    Final Answer:

    • Order = 2
    • Degree = 3
  8. Find (A+B)T(A + B)^T whereA=[4231]A = \begin{bmatrix} 4 & -2 \\ 3 & -1 \end{bmatrix} and B=[4273]B = \begin{bmatrix} 4 & -2 \\ 7 & -3 \end{bmatrix}

    [2]
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    Step-by-Step Solution:

    Given matrices:

    A=[4231],B=[4273]A = \begin{bmatrix} 4 & -2 \\ 3 & -1 \end{bmatrix}, \quad B = \begin{bmatrix} 4 & -2 \\ 7 & -3 \end{bmatrix}

    Step 1: Compute matrix sum A+BA + BA+B=[4+42+(2)3+71+(3)]=[84104]A + B = \begin{bmatrix} 4 + 4 & -2 + (-2) \\ 3 + 7 & -1 + (-3) \end{bmatrix} = \begin{bmatrix} 8 & -4 \\ 10 & -4 \end{bmatrix}$

    Step 2: Compute the transpose (A+B)T(A + B)^T

    The transpose is obtained by interchanging rows and columns:

    (A+B)T=[81044](A + B)^T = \begin{bmatrix} 8 & 10 \\ -4 & -4 \end{bmatrix}

    (Note: By transpose properties, (A+B)T=AT+BT=[4321]+[4723]=[81044](A + B)^T = A^T + B^T = \begin{bmatrix} 4 & 3 \\ -2 & -1 \end{bmatrix} + \begin{bmatrix} 4 & 7 \\ -2 & -3 \end{bmatrix} = \begin{bmatrix} 8 & 10 \\ -4 & -4 \end{bmatrix}).

    Final Answer: (A+B)T=[81044](A + B)^T = \begin{bmatrix} 8 & 10 \\ -4 & -4 \end{bmatrix}.

  9. Find the value of determinant: 331231234\begin{vmatrix} 3 & 3 & 1 \\ 2 & 3 & 1 \\ 2 & 3 & 4 \end{vmatrix}

    [2]
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    Step-by-Step Solution:

    Evaluate the 3×33 \times 3 determinant:

    Δ=331231234\Delta = \begin{vmatrix} 3 & 3 & 1 \\ 2 & 3 & 1 \\ 2 & 3 & 4 \end{vmatrix}

    Method 1: Expansion along Row 1

    Δ=3313432124+12323\Delta = 3 \begin{vmatrix} 3 & 1 \\ 3 & 4 \end{vmatrix} - 3 \begin{vmatrix} 2 & 1 \\ 2 & 4 \end{vmatrix} + 1 \begin{vmatrix} 2 & 3 \\ 2 & 3 \end{vmatrix}

    Evaluating each 2×22 \times 2 minor determinant:

    1. 3134=(3)(4)(1)(3)=123=9\begin{vmatrix} 3 & 1 \\ 3 & 4 \end{vmatrix} = (3)(4) - (1)(3) = 12 - 3 = 9
    2. 2124=(2)(4)(1)(2)=82=6\begin{vmatrix} 2 & 1 \\ 2 & 4 \end{vmatrix} = (2)(4) - (1)(2) = 8 - 2 = 6
    3. 2323=(2)(3)(3)(2)=66=0\begin{vmatrix} 2 & 3 \\ 2 & 3 \end{vmatrix} = (2)(3) - (3)(2) = 6 - 6 = 0

    Substitute back:

    Δ=3(9)3(6)+1(0)=2718+0=9\Delta = 3(9) - 3(6) + 1(0) = 27 - 18 + 0 = 9

    Method 2: Elementary Row Operations

    Perform R2R2R1R_2 \to R_2 - R_1 and R3R3R2R_3 \to R_3 - R_2:

    Δ=331100003\Delta = \begin{vmatrix} 3 & 3 & 1 \\ -1 & 0 & 0 \\ 0 & 0 & 3 \end{vmatrix}
    Expanding along Row 2 gives (1)3103=1×(90)=9-(-1) \begin{vmatrix} 3 & 1 \\ 0 & 3 \end{vmatrix} = 1 \times (9 - 0) = 9.

    Final Answer: The value of the determinant is 99.

  10. Test whether Hawkins-Simon conditions is satisfied or not,A=[0.20.30.40.1]A = \begin{bmatrix} 0.2 & 0.3 \\ 0.4 & 0.1 \end{bmatrix}.

    [2]
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    Step-by-Step Solution:

    Given input-output technology coefficient matrix:

    A=[0.20.30.40.1]A = \begin{bmatrix} 0.2 & 0.3 \\ 0.4 & 0.1 \end{bmatrix}

    Step 1: Form the Leontief matrix (IA)(I - A)IA=[1001][0.20.30.40.1]=[10.20.30.410.1]=[0.80.30.40.9]I - A = \begin{bmatrix} 1 & 0 \\ 0 & 1 \end{bmatrix} - \begin{bmatrix} 0.2 & 0.3 \\ 0.4 & 0.1 \end{bmatrix} = \begin{bmatrix} 1 - 0.2 & -0.3 \\ -0.4 & 1 - 0.1 \end{bmatrix} = \begin{bmatrix} 0.8 & -0.3 \\ -0.4 & 0.9 \end{bmatrix}$

    Step 2: Test Hawkins-Simon Condition 1

    The principal diagonal elements of (IA)(I - A) must be positive:

    (1a11)=0.8>0(Satisfied)(1 - a_{11}) = 0.8 > 0 \quad (\text{Satisfied})
    (1a22)=0.9>0(Satisfied)(1 - a_{22}) = 0.9 > 0 \quad (\text{Satisfied})

    Step 3: Test Hawkins-Simon Condition 2

    The determinant of (IA)(I - A) must be strictly positive:

    IA=0.80.30.40.9=(0.8)(0.9)(0.3)(0.4)|I - A| = \begin{vmatrix} 0.8 & -0.3 \\ -0.4 & 0.9 \end{vmatrix} = (0.8)(0.9) - (-0.3)(-0.4)
    IA=0.720.12=0.60>0(Satisfied)|I - A| = 0.72 - 0.12 = 0.60 > 0 \quad (\text{Satisfied})

    Conclusion:

    Since both principal diagonal elements are positive and the determinant IA=0.60>0|I - A| = 0.60 > 0, the Hawkins-Simon conditions are fully satisfied, guaranteeing that the economic system is productive and viable.

    Final Answer: Hawkins-Simon conditions are satisfied (1a11=0.8>01 - a_{11} = 0.8 > 0 and IA=0.60>0|I - A| = 0.60 > 0).

Section B

Short Answer Questions: (Attempt any SIX Questions)

[6*5=30]
  1. Solve the following differential equation: dydt+yt=t2,giveny(0)=1\frac{dy}{dt} + \frac{y}{t} = t^2, given y(0) = 1

    [5]
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    Step-by-Step Solution:

    Given first-order linear differential equation:

    dydt+yt=t2\frac{dy}{dt} + \frac{y}{t} = t^2

    Step 1: Identify standard form and integrating factor

    Standard linear form: dydt+P(t)y=Q(t)\frac{dy}{dt} + P(t)y = Q(t) Here:

    P(t)=1t,Q(t)=t2P(t) = \frac{1}{t}, \quad Q(t) = t^2

    Integrating factor I(t)I(t):

    I(t)=eP(t)dt=e1tdt=elnt=tI(t) = e^{\int P(t) dt} = e^{\int \frac{1}{t} dt} = e^{\ln t} = t

    Step 2: Multiply the differential equation by I(t)I(t)t(dydt+yt)=t(t2)t \left( \frac{dy}{dt} + \frac{y}{t} \right) = t(t^2)$

    ddt[yt]=t3\frac{d}{dt} [y \cdot t] = t^3

    Step 3: Integrate both sides

    ddt[yt]dt=t3dt\int \frac{d}{dt}[y \cdot t] \, dt = \int t^3 \, dt
    yt=t44+Cy \cdot t = \frac{t^4}{4} + C

    Dividing by tt:

    y(t)=t34+Cty(t) = \frac{t^3}{4} + \frac{C}{t}

    Step 4: Apply Initial Condition

    • Standard Interpretation (y(1)=1y(1) = 1): In textbook problems where t=0t=0 is a singular point for 1t\frac{1}{t}, the initial condition is typically stated at t=1t=1:
      1=134+C1    1=14+C    C=341 = \frac{1^3}{4} + \frac{C}{1} \implies 1 = \frac{1}{4} + C \implies C = \frac{3}{4}
      y(t)=t34+34ty(t) = \frac{t^3}{4} + \frac{3}{4t}
    • Boundary Behavior at t0t \to 0: If evaluated strictly at t=0t=0, the solution remains finite only if C=0C = 0, giving y(t)=t34y(t) = \frac{t^3}{4}.

    Final Answer: The general solution is y(t)=t34+Cty(t) = \frac{t^3}{4} + \frac{C}{t} (for y(1)=1y(1) = 1, y(t)=t34+34ty(t) = \frac{t^3}{4} + \frac{3}{4t}).

  2. Solve the difference equation: Yt10.7Yt+7Y_{t-1} - 0.7Y_t + 7, given Y0=7Y_0 = 7 and find Y7Y_7

    [5]
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    Step-by-Step Solution:

    Given difference equation:

    Yt10.7Yt+7=0with Y0=7Y_{t-1} - 0.7Y_t + 7 = 0 \quad \text{with } Y_0 = 7


    Step 1: Express in standard first-order form

    Rearranging to express YtY_t as a function of Yt1Y_{t-1}:

    0.7Yt=Yt1+70.7 Y_t = Y_{t-1} + 7
    Yt=10.7Yt1+70.7Y_t = \frac{1}{0.7} Y_{t-1} + \frac{7}{0.7}
    Yt=107Yt1+10Y_t = \frac{10}{7} Y_{t-1} + 10


    Step 2: Find Particular Solution (YpY_p)

    Let Yt=Yt1=YY_t = Y_{t-1} = Y^* (equilibrium value):

    Y=107Y+10Y^* = \frac{10}{7}Y^* + 10
    Y107Y=10Y^* - \frac{10}{7}Y^* = 10
    37Y=10    Y=70323.333-\frac{3}{7}Y^* = 10 \implies Y^* = -\frac{70}{3} \approx -23.333


    Step 3: Find Complementary Solution (YcY_c) and General Solution

    For the homogeneous part Yt107Yt1=0Y_t - \frac{10}{7}Y_{t-1} = 0:

    Yc=A(107)tY_c = A \left(\frac{10}{7}\right)^t

    Thus, the general solution is:

    Yt=A(107)t703Y_t = A \left(\frac{10}{7}\right)^t - \frac{70}{3}


    Step 4: Apply the initial condition Y0=7Y_0 = 7

    At t=0t = 0:

    7=A(107)07037 = A \left(\frac{10}{7}\right)^0 - \frac{70}{3}
    7=A703    A=7+703=21+703=9137 = A - \frac{70}{3} \implies A = 7 + \frac{70}{3} = \frac{21 + 70}{3} = \frac{91}{3}

    The specific time path is:

    Yt=913(107)t703Y_t = \frac{91}{3} \left(\frac{10}{7}\right)^t - \frac{70}{3}


    Step 5: Calculate Y7Y_7

    For t=7t = 7:

    (107)712.18684\left(\frac{10}{7}\right)^7 \approx 12.18684
    Y7=913(12.18684)703369.66723.333346.33Y_7 = \frac{91}{3}(12.18684) - \frac{70}{3} \approx 369.667 - 23.333 \approx 346.33

    (Note: If the equation was printed as a standard lag Yt0.7Yt1=7Y_t - 0.7Y_{t-1} = 7, then Y=70.3=703Y^* = \frac{7}{0.3} = \frac{70}{3}, and Yt=703493(0.7)tY_t = \frac{70}{3} - \frac{49}{3}(0.7)^t, yielding Y722.01Y_7 \approx 22.01).

    Final Answer:

    • Time path: Yt=913(107)t703Y_t = \frac{91}{3}\left(\frac{10}{7}\right)^t - \frac{70}{3}
    • Y7346.33Y_7 \approx 346.33
  3. Integrate the following:

    (a) logxxdx\int \frac{\log x}{x} dx

    (b)3x+15x+2dx(b) \int \frac{3x + 1}{\sqrt{5x + 2}} dx

    [5]
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    Step-by-Step Solution:

    (a) Evaluate logxxdx\int \frac{\log x}{x} dx:

    Let u=logx=lnxu = \log x = \ln x. Differentiating:

    du=1xdxdu = \frac{1}{x} dx

    Substitute uu into the integral:

    logxxdx=udu=u22+C\int \frac{\log x}{x} dx = \int u \, du = \frac{u^2}{2} + C

    Substitute back u=lnxu = \ln x:

    logxxdx=(lnx)22+C\int \frac{\log x}{x} dx = \frac{(\ln x)^2}{2} + C


    (b) Evaluate 3x+15x+2dx\int \frac{3x + 1}{\sqrt{5x + 2}} dx:

    Use algebraic substitution: Let u=5x+2    5x=u2    x=u25u = 5x + 2 \implies 5x = u - 2 \implies x = \frac{u - 2}{5}. Differentiating gives:

    dx=15dudx = \frac{1}{5} du

    Express numerator in terms of uu:

    3x+1=3(u25)+1=3u6+55=3u153x + 1 = 3\left(\frac{u - 2}{5}\right) + 1 = \frac{3u - 6 + 5}{5} = \frac{3u - 1}{5}

    Substitute into the integral:

    I=3u15u(15du)=1253u1u1/2duI = \int \frac{\frac{3u - 1}{5}}{\sqrt{u}} \cdot \left(\frac{1}{5} du\right) = \frac{1}{25} \int \frac{3u - 1}{u^{1/2}} du
    I=125(3u1/2u1/2)duI = \frac{1}{25} \int \left( 3u^{1/2} - u^{-1/2} \right) du

    Integrate term by term:

    I=125[3u3/23/2u1/21/2]+CI = \frac{1}{25} \left[ 3 \cdot \frac{u^{3/2}}{3/2} - \frac{u^{1/2}}{1/2} \right] + C
    I=125[2u3/22u1/2]+C=225u(u1)+CI = \frac{1}{25} \left[ 2u^{3/2} - 2u^{1/2} \right] + C = \frac{2}{25} \sqrt{u}(u - 1) + C

    Substitute back u=5x+2u = 5x + 2:

    I=2255x+2((5x+2)1)+CI = \frac{2}{25} \sqrt{5x + 2} \left( (5x + 2) - 1 \right) + C
    I=225(5x+1)5x+2+CI = \frac{2}{25} (5x + 1) \sqrt{5x + 2} + C

    Final Answer:

    • (a) (lnx)22+C\frac{(\ln x)^2}{2} + C
    • (b) 225(5x+1)5x+2+C\frac{2}{25}(5x + 1)\sqrt{5x + 2} + C
  4. The annual rate of repair of a machine is given by dcdt=5t+12.5\frac{dc}{dt} = 5t + 12.5, where “t” is the age of machine in years, dcdt\frac{dc}{dt} is Rs per year. Find total cost after 4 years.

    [5]
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    Step-by-Step Solution:

    Given:

    • Rate of repair cost: dCdt=5t+12.5\frac{dC}{dt} = 5t + 12.5 (in Rs per year)
    • Age of machine: tt in years
    • We want to find the total repair cost incurred over the first 4 years (t=0t = 0 to t=4t = 4).

    Step 1: Set up the Definite Integral

    The total accumulated cost CC is the definite integral of the marginal rate of repair:

    C=04dCdtdt=04(5t+12.5)dtC = \int_0^4 \frac{dC}{dt} \, dt = \int_0^4 (5t + 12.5) \, dt

    Step 2: Evaluate the Integral

    C=[5t22+12.5t]04C = \left[ \frac{5t^2}{2} + 12.5t \right]_0^4
    C=(5(42)2+12.5(4))(5(0)2+12.5(0))C = \left( \frac{5(4^2)}{2} + 12.5(4) \right) - \left( \frac{5(0)}{2} + 12.5(0) \right)
    C=(5(16)2+50)0C = \left( \frac{5(16)}{2} + 50 \right) - 0
    C=40+50=90C = 40 + 50 = 90

    Final Answer: The total cost of repair after 4 years is Rs 90.

  5. Solve the following linear equations (Using inverse matrix method or determinant method):

    3x + 4y + 5z = 18

    2x - y + 8z = 13

    5x - 2y + 7z = 20

    [5]
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    Step-by-Step Solution:

    Given system of linear equations:

    3x+4y+5z=183x + 4y + 5z = 18
    2xy+8z=132x - y + 8z = 13
    5x2y+7z=205x - 2y + 7z = 20

    Method: Cramer’s Rule (Determinant Method)

    Step 1: Evaluate the Coefficient Determinant (DD)

    D=345218527D = \begin{vmatrix} 3 & 4 & 5 \\ 2 & -1 & 8 \\ 5 & -2 & 7 \end{vmatrix}

    Expand along Row 1:

    D=3182742857+52152D = 3 \begin{vmatrix} -1 & 8 \\ -2 & 7 \end{vmatrix} - 4 \begin{vmatrix} 2 & 8 \\ 5 & 7 \end{vmatrix} + 5 \begin{vmatrix} 2 & -1 \\ 5 & -2 \end{vmatrix}

    • 1827=(1)(7)(8)(2)=7+16=9\begin{vmatrix} -1 & 8 \\ -2 & 7 \end{vmatrix} = (-1)(7) - (8)(-2) = -7 + 16 = 9
    • 2857=(2)(7)(8)(5)=1440=26\begin{vmatrix} 2 & 8 \\ 5 & 7 \end{vmatrix} = (2)(7) - (8)(5) = 14 - 40 = -26
    • 2152=(2)(2)(1)(5)=4+5=1\begin{vmatrix} 2 & -1 \\ 5 & -2 \end{vmatrix} = (2)(-2) - (-1)(5) = -4 + 5 = 1D=3(9)4(26)+5(1)=27+104+5=136D = 3(9) - 4(-26) + 5(1) = 27 + 104 + 5 = 136$

    Step 2: Evaluate DxD_xDx=184513182027D_x = \begin{vmatrix} 18 & 4 & 5 \\ 13 & -1 & 8 \\ 20 & -2 & 7 \end{vmatrix}$

    Expand along Row 1:

    Dx=18(9)4138207+5131202D_x = 18(9) - 4 \begin{vmatrix} 13 & 8 \\ 20 & 7 \end{vmatrix} + 5 \begin{vmatrix} 13 & -1 \\ 20 & -2 \end{vmatrix}

    • 138207=91160=69\begin{vmatrix} 13 & 8 \\ 20 & 7 \end{vmatrix} = 91 - 160 = -69
    • 131202=26(20)=6\begin{vmatrix} 13 & -1 \\ 20 & -2 \end{vmatrix} = -26 - (-20) = -6Dx=18(9)4(69)+5(6)=162+27630=408D_x = 18(9) - 4(-69) + 5(-6) = 162 + 276 - 30 = 408$
      x=DxD=408136=3x = \frac{D_x}{D} = \frac{408}{136} = 3

    Step 3: Evaluate DyD_yDy=318521385207D_y = \begin{vmatrix} 3 & 18 & 5 \\ 2 & 13 & 8 \\ 5 & 20 & 7 \end{vmatrix}$

    Expand along Row 1:

    Dy=3(91160)18(1440)+5(4065)D_y = 3(91 - 160) - 18(14 - 40) + 5(40 - 65)
    Dy=3(69)18(26)+5(25)=207+468125=136D_y = 3(-69) - 18(-26) + 5(-25) = -207 + 468 - 125 = 136
    y=DyD=136136=1y = \frac{D_y}{D} = \frac{136}{136} = 1


    Step 4: Evaluate DzD_zDz=341821135220D_z = \begin{vmatrix} 3 & 4 & 18 \\ 2 & -1 & 13 \\ 5 & -2 & 20 \end{vmatrix}$

    Expand along Row 1:

    Dz=3(20(26))4(4065)+18(4(5))D_z = 3(-20 - (-26)) - 4(40 - 65) + 18(-4 - (-5))
    Dz=3(6)4(25)+18(1)=18+100+18=136D_z = 3(6) - 4(-25) + 18(1) = 18 + 100 + 18 = 136
    z=DzD=136136=1z = \frac{D_z}{D} = \frac{136}{136} = 1

    Verification:

    • 3(3)+4(1)+5(1)=9+4+5=183(3) + 4(1) + 5(1) = 9 + 4 + 5 = 18
    • 2(3)1+8(1)=61+8=132(3) - 1 + 8(1) = 6 - 1 + 8 = 13
    • 5(3)2(1)+7(1)=152+7=205(3) - 2(1) + 7(1) = 15 - 2 + 7 = 20

    Final Answer: x=3x = 3, y=1y = 1, z=1z = 1.

  6. The demand function is Q=2004P+0.5PA+YQ = 200 - 4P + 0.5P_A + Y, where P=6P = 6, PA=10P_A = 10, and Y=500Y = 500, find the price elasticity, cross-price elasticity and income elasticity of demand. What happened to demand when

    (i) P decreases by 10% (ii) PAP_A increases by 10% (iii) Y increases by 10%?

    [5]
    View model solution

    Step-by-Step Solution:

    Given demand function:

    Q=2004P+0.5PA+YQ = 200 - 4P + 0.5P_A + Y
    where P=6P = 6, PA=10P_A = 10, and Y=500Y = 500.

    Step 1: Compute baseline quantity demanded (QQ)

    Q=2004(6)+0.5(10)+500=20024+5+500=681Q = 200 - 4(6) + 0.5(10) + 500 = 200 - 24 + 5 + 500 = 681

    Step 2: Compute Partial Elasticities of Demand

    1. Price Elasticity of Demand (ϵP\epsilon_P):

      QP=4\frac{\partial Q}{\partial P} = -4
      ϵP=PQQP=6681×(4)=246810.03524\epsilon_P = \frac{P}{Q} \cdot \frac{\partial Q}{\partial P} = \frac{6}{681} \times (-4) = -\frac{24}{681} \approx -0.03524
      (In absolute value, ϵP0.035|\epsilon_P| \approx 0.035, highly inelastic).

    2. Cross-Price Elasticity of Demand (ϵPA\epsilon_{PA}):

      QPA=0.5\frac{\partial Q}{\partial P_A} = 0.5
      ϵPA=PAQQPA=10681×0.5=5681+0.00734\epsilon_{PA} = \frac{P_A}{Q} \cdot \frac{\partial Q}{\partial P_A} = \frac{10}{681} \times 0.5 = \frac{5}{681} \approx +0.00734
      (Positive value confirms goods are substitutes).

    3. Income Elasticity of Demand (ϵY\epsilon_Y):

      QY=1\frac{\partial Q}{\partial Y} = 1
      ϵY=YQQY=500681×1+0.73421\epsilon_Y = \frac{Y}{Q} \cdot \frac{\partial Q}{\partial Y} = \frac{500}{681} \times 1 \approx +0.73421
      (0<ϵY<10 < \epsilon_Y < 1 confirms this is a normal/necessity good).


    Step 3: Analyze Impacts on Demand

    • (i) When PP decreases by 10%10\% (%ΔP=10%\% \Delta P = -10\%):

      %ΔQϵP×(%ΔP)=(0.03524)×(10%)=+0.3524%\% \Delta Q \approx \epsilon_P \times (\% \Delta P) = (-0.03524) \times (-10\%) = +0.3524\%
      Absolute change: ΔQ=4×ΔP=4(0.6)=+2.4 units\Delta Q = -4 \times \Delta P = -4(-0.6) = +2.4 \text{ units}. Demand increases by approximately 0.35%0.35\% (from 681681 to 683.4683.4).

    • (ii) When PAP_A increases by 10%10\% (%ΔPA=+10%\% \Delta P_A = +10\%):

      %ΔQϵPA×(%ΔPA)=(+0.00734)×(+10%)=+0.0734%\% \Delta Q \approx \epsilon_{PA} \times (\% \Delta P_A) = (+0.00734) \times (+10\%) = +0.0734\%
      Absolute change: ΔQ=0.5×1=+0.5 units\Delta Q = 0.5 \times 1 = +0.5 \text{ units}. Demand increases by approximately 0.073%0.073\% (from 681681 to 681.5681.5).

    • (iii) When YY increases by 10%10\% (%ΔY=+10%\% \Delta Y = +10\%):

      %ΔQϵY×(%ΔY)=(+0.73421)×(+10%)=+7.342%\% \Delta Q \approx \epsilon_Y \times (\% \Delta Y) = (+0.73421) \times (+10\%) = +7.342\%
      Absolute change: ΔQ=1×50=+50 units\Delta Q = 1 \times 50 = +50 \text{ units}. Demand increases by approximately 7.34%7.34\% (from 681681 to 731731).

    Final Answer:

    • Price Elasticity: ϵP0.0352\epsilon_P \approx -0.0352
    • Cross-Price Elasticity: ϵPA+0.0073\epsilon_{PA} \approx +0.0073
    • Income Elasticity: ϵY+0.7342\epsilon_Y \approx +0.7342
    • Demand Changes: (i) increases by +0.35%+0.35\% (+2.4 units), (ii) increases by +0.073%+0.073\% (+0.5 units), (iii) increases by +7.34%+7.34\% (+50 units).
  7. Given the production function Q(L,K)=L22KL+2K2Q(L, K) = L^2 - 2KL + 2K^2, where L and K represent the labour and capital respectively.

    (i) find out the marginal products of labour and capital when the investments on labour and capital are 30 units and 20 units respectively

    (ii) Find out marginal rate of technical substitution (MRTS)

    (iii) estimate the increase in capital needed to maintain the current level of output when a unit decrease in labour is 0.08.

    [5]
    View model solution

    Step-by-Step Solution:

    Given production function:

    Q(L,K)=L22KL+2K2Q(L, K) = L^2 - 2KL + 2K^2
    where LL = labour units and KK = capital units.


    (i) Find Marginal Products of Labour (MPLMP_L) and Capital (MPKMP_K) at L=30,K=20L = 30, K = 20:

    • Marginal Product of Labour (MPLMP_L):

      MPL=QL=2L2KMP_L = \frac{\partial Q}{\partial L} = 2L - 2K
      At L=30,K=20L = 30, K = 20:
      MPL=2(30)2(20)=6040=20MP_L = 2(30) - 2(20) = 60 - 40 = 20

    • Marginal Product of Capital (MPKMP_K):

      MPK=QK=2L+4KMP_K = \frac{\partial Q}{\partial K} = -2L + 4K
      At L=30,K=20L = 30, K = 20:
      MPK=2(30)+4(20)=60+80=20MP_K = -2(30) + 4(20) = -60 + 80 = 20


    (ii) Find Marginal Rate of Technical Substitution (MRTSMRTS):

    The Marginal Rate of Technical Substitution of labour for capital along an isoquant (dQ=0dQ = 0) is:

    MRTSLK=dKdL=MPLMPK=2L2K2L+4K=LK2KLMRTS_{LK} = -\frac{dK}{dL} = \frac{MP_L}{MP_K} = \frac{2L - 2K}{-2L + 4K} = \frac{L - K}{2K - L}

    At L=30,K=20L = 30, K = 20:

    MRTSLK=30202(20)30=104030=1010=1MRTS_{LK} = \frac{30 - 20}{2(20) - 30} = \frac{10}{40 - 30} = \frac{10}{10} = 1


    (iii) Estimate the increase in capital needed when labour decreases by 0.08:

    Using the total differential of output:

    dQ=MPLdL+MPKdKdQ = MP_L \cdot dL + MP_K \cdot dK

    To maintain the current level of output, dQ=0dQ = 0:

    0=MPLdL+MPKdK0 = MP_L \cdot dL + MP_K \cdot dK
    dK=MPLMPKdL=MRTSLKdLdK = -\frac{MP_L}{MP_K} dL = -MRTS_{LK} \cdot dL

    Given dL=0.08dL = -0.08 (a decrease):

    dK=(1)(0.08)=+0.08 units of capitaldK = -(1)(-0.08) = +0.08 \text{ units of capital}

    Final Answer:

    • (i) MPL=20MP_L = 20, MPK=20MP_K = 20
    • (ii) MRTSLK=1MRTS_{LK} = 1
    • (iii) Capital must be increased by 0.080.08 units.

Section C

Long Answer Questions: (Attempt any THREE Questions)

[3*10=30]
  1. The demand and supply function under perfect competition are Qd=1708PQd = 170 - 8Pand Qs=10+4PQs = -10 + 4Prespectively, where P and Q denote price and quantity, and price at initial time period is Rs. 10. The rate of adjustment of price when the market is out of equilibrium isdpdt=0.5(QdQs)\frac{dp}{dt} = 0.5(Qd - Qs), where dpdt\frac{dp}{dt} denotes price in Rs. Per week.

    (a) Derive and solve the relevant differential equation to get the function for P in terms of t. (b) What will be the price after 5 and 10 weeks?

    [10]
    View model solution

    Step-by-Step Solution:

    Given:

    • Demand function: Qd=1708PQ_d = 170 - 8P
    • Supply function: Qs=10+4PQ_s = -10 + 4P
    • Initial price: P(0)=Rs 10P(0) = \text{Rs } 10
    • Price adjustment mechanism: dPdt=0.5(QdQs)\frac{dP}{dt} = 0.5(Q_d - Q_s)

    (a) Derive and solve the differential equation for P(t)P(t):

    Step 1: Compute excess demand (QdQs)(Q_d - Q_s)QdQs=(1708P)(10+4P)=1708P+104P=18012PQ_d - Q_s = (170 - 8P) - (-10 + 4P) = 170 - 8P + 10 - 4P = 180 - 12P$

    Step 2: Formulate the differential equation

    dPdt=0.5(18012P)=906P\frac{dP}{dt} = 0.5(180 - 12P) = 90 - 6P
    dPdt+6P=90\frac{dP}{dt} + 6P = 90

    Step 3: Solve the first-order linear differential equation

    • Integrating factor I(t)=e6dt=e6tI(t) = e^{\int 6 dt} = e^{6t}
    • Multiply both sides by e6te^{6t}:
      ddt[Pe6t]=90e6t\frac{d}{dt}[P e^{6t}] = 90 e^{6t}
    • Integrate both sides:
      Pe6t=90e6tdt=906e6t+C=15e6t+CP e^{6t} = \int 90 e^{6t} dt = \frac{90}{6} e^{6t} + C = 15 e^{6t} + C
    • Divide by e6te^{6t}:
      P(t)=15+Ce6tP(t) = 15 + C e^{-6t}

    Step 4: Apply initial condition P(0)=10P(0) = 1010=15+Ce0=15+C    C=1015=510 = 15 + C e^0 = 15 + C \implies C = 10 - 15 = -5$

    Thus, the time path of price is:

    P(t)=155e6tP(t) = 15 - 5 e^{-6t}

    (Notice the intertemporal equilibrium price is Pe=15P_e = 15).


    (b) What will be the price after 5 and 10 weeks?

    1. At t=5t = 5 weeks:

      P(5)=155e6(5)=155e30P(5) = 15 - 5 e^{-6(5)} = 15 - 5 e^{-30}
      Since e309.3576×10140e^{-30} \approx 9.3576 \times 10^{-14} \approx 0:
      P(5)Rs 15.00P(5) \approx \text{Rs } 15.00

    2. At t=10t = 10 weeks:

      P(10)=155e6(10)=155e60Rs 15.00P(10) = 15 - 5 e^{-6(10)} = 15 - 5 e^{-60} \approx \text{Rs } 15.00

    Final Answer:

    • (a) Price function: P(t)=155e6tP(t) = 15 - 5e^{-6t}
    • (b) Price after 5 weeks: Rs 15.00; Price after 10 weeks: Rs 15.00
  2. In an economy of two industries X and Y the following tables gives the supply and demand position in millions of rupees.

    Producer User: X User: Y Final Demand Total output
    X 25 20 10 55
    Y 15 40 15 70

    Determine the outputs

    (a) if the final demand changes to 15 for X and 20 for Y

    (b) if the final demand changes to 20 for X and 18 for Y.

    [10]
    View model solution

    Step-by-Step Solution:

    Given Transaction Matrix (in millions of rupees):

    Producer User: X User: Y Final Demand (DD) Total Output (XX)
    X 25 20 10 55
    Y 15 40 15 70

    Step 1: Form the Technology Coefficient Matrix (AA)

    The technical coefficients aij=XijXja_{ij} = \frac{X_{ij}}{X_j}:

    a11=2555=511,a12=2070=27a_{11} = \frac{25}{55} = \frac{5}{11}, \quad a_{12} = \frac{20}{70} = \frac{2}{7}
    a21=1555=311,a22=4070=47a_{21} = \frac{15}{55} = \frac{3}{11}, \quad a_{22} = \frac{40}{70} = \frac{4}{7}

    A=[5112731147]A = \begin{bmatrix} \frac{5}{11} & \frac{2}{7} \\[6pt] \frac{3}{11} & \frac{4}{7} \end{bmatrix}

    Step 2: Compute the Leontief Matrix (IA)(I - A)IA=[151127311147]=[6112731137]I - A = \begin{bmatrix} 1 - \frac{5}{11} & -\frac{2}{7} \\[6pt] -\frac{3}{11} & 1 - \frac{4}{7} \end{bmatrix} = \begin{bmatrix} \frac{6}{11} & -\frac{2}{7} \\[6pt] -\frac{3}{11} & \frac{3}{7} \end{bmatrix}$

    Step 3: Compute the Determinant IA|I - A|IA=(611)(37)(27)(311)=1877677=1277|I - A| = \left(\frac{6}{11}\right)\left(\frac{3}{7}\right) - \left(-\frac{2}{7}\right)\left(-\frac{3}{11}\right) = \frac{18}{77} - \frac{6}{77} = \frac{12}{77}$

    Since IA>0|I - A| > 0 and diagonal elements are positive, system is viable.

    Step 4: Compute the Leontief Inverse Matrix (IA)1(I - A)^{-1}(IA)1=1IAadj(IA)=7712[3727311611](I - A)^{-1} = \frac{1}{|I - A|} \operatorname{adj}(I - A) = \frac{77}{12} \begin{bmatrix} \frac{3}{7} & \frac{2}{7} \\[6pt] \frac{3}{11} & \frac{6}{11} \end{bmatrix}$

    (IA)1=[77×312×777×212×777×312×1177×612×11]=[1141167472]=[2.751.83331.753.50](I - A)^{-1} = \begin{bmatrix} \frac{77 \times 3}{12 \times 7} & \frac{77 \times 2}{12 \times 7} \\[6pt] \frac{77 \times 3}{12 \times 11} & \frac{77 \times 6}{12 \times 11} \end{bmatrix} = \begin{bmatrix} \frac{11}{4} & \frac{11}{6} \\[6pt] \frac{7}{4} & \frac{7}{2} \end{bmatrix} = \begin{bmatrix} 2.75 & 1.8333 \\[6pt] 1.75 & 3.50 \end{bmatrix}

    (a) New Final Demand D=[1520]D = \begin{bmatrix} 15 \\ 20 \end{bmatrix}:

    X=(IA)1D=[1141167472][1520]X = (I - A)^{-1} D = \begin{bmatrix} \frac{11}{4} & \frac{11}{6} \\[6pt] \frac{7}{4} & \frac{7}{2} \end{bmatrix} \begin{bmatrix} 15 \\ 20 \end{bmatrix}
    X1=114(15)+116(20)=1654+1103=495+44012=9351277.92 million RsX_1 = \frac{11}{4}(15) + \frac{11}{6}(20) = \frac{165}{4} + \frac{110}{3} = \frac{495 + 440}{12} = \frac{935}{12} \approx \mathbf{77.92\text{ million Rs}}
    X2=74(15)+72(20)=1054+70=105+2804=3854=96.25 million RsX_2 = \frac{7}{4}(15) + \frac{7}{2}(20) = \frac{105}{4} + 70 = \frac{105 + 280}{4} = \frac{385}{4} = \mathbf{96.25\text{ million Rs}}

    (b) New Final Demand D=[2018]D = \begin{bmatrix} 20 \\ 18 \end{bmatrix}:

    X=[1141167472][2018]X = \begin{bmatrix} \frac{11}{4} & \frac{11}{6} \\[6pt] \frac{7}{4} & \frac{7}{2} \end{bmatrix} \begin{bmatrix} 20 \\ 18 \end{bmatrix}
    X1=114(20)+116(18)=55+33=88.00 million RsX_1 = \frac{11}{4}(20) + \frac{11}{6}(18) = 55 + 33 = \mathbf{88.00\text{ million Rs}}
    X2=74(20)+72(18)=35+63=98.00 million RsX_2 = \frac{7}{4}(20) + \frac{7}{2}(18) = 35 + 63 = \mathbf{98.00\text{ million Rs}}

    Final Answer:

    • (a) Gross outputs: X=77.92 million RsX = 77.92\text{ million Rs}, Y=96.25 million RsY = 96.25\text{ million Rs}
    • (b) Gross outputs: X=88.00 million RsX = 88.00\text{ million Rs}, Y=98.00 million RsY = 98.00\text{ million Rs}
  3. ABC factory produces two articles X and Y, each of which processes by two machines P and Q. The total hours available on machine P and machine Q per week are 10 and 6 respectively. The time requirements and profit per unit for each product are listed below:

    Machines Articles: X Articles: Y
    P 2 1
    Q 1 1
    Profit (Rs) 40 30

    (a) Find how many units of each of product should be manufactured to maximize profit? (b) Calculate the maximum profit. (Using simplex method or Graphical method)

    [10]
    View model solution

    Step-by-Step Solution:

    Problem Formulation:

    Let xx = units of Article X manufactured per week. Let yy = units of Article Y manufactured per week.

    Maximize Profit Z=40x+30y\text{Maximize Profit } Z = 40x + 30y
    Subject to the constraints:\text{Subject to the constraints:}
    2x+y10(Machine P hours)2x + y \le 10 \quad (\text{Machine P hours})
    x+y6(Machine Q hours)x + y \le 6 \quad (\text{Machine Q hours})
    x0,y0x \ge 0, \quad y \ge 0

    Method 1: Graphical Method

    1. Constraint 1 (2x+y=102x + y = 10):
      • Intercepts: (5,0)(5, 0) and (0,10)(0, 10).
    2. Constraint 2 (x+y=6x + y = 6):
      • Intercepts: (6,0)(6, 0) and (0,6)(0, 6).
    3. Intersection point: Subtract x+y=6x + y = 6 from 2x+y=102x + y = 10:
      x=4    y=64=2    (4,2)x = 4 \implies y = 6 - 4 = 2 \implies (4, 2)

    Corner Points Evaluation:

    Corner Point (x,y)(x, y) Z=40x+30yZ = 40x + 30y Value (Rs)
    (0,0)(0, 0) 40(0)+30(0)40(0) + 30(0) 00
    (5,0)(5, 0) 40(5)+30(0)40(5) + 30(0) 200200
    (4,2)(4, 2) 40(4)+30(2)=160+6040(4) + 30(2) = 160 + 60 220220 (Maximum)
    (0,6)(0, 6) 40(0)+30(6)40(0) + 30(6) 180180

    Method 2: Simplex Method

    Introduce slack variables s10,s20s_1 \ge 0, s_2 \ge 0:

    2x+y+s1=102x + y + s_1 = 10
    x+y+s2=6x + y + s_2 = 6
    Z40x30y+0s1+0s2=0Z - 40x - 30y + 0s_1 + 0s_2 = 0

    Initial Simplex Tableau:

    Basic xx yy s1s_1 s2s_2 Solution Ratio
    s1s_1 2 1 1 0 10 10/2=510/2 = 5 (Pivot)
    s2s_2 1 1 0 1 6 6/1=66/1 = 6
    ZZ -40 -30 0 0 0
    • Pivot element: 22 (Row s1s_1, Column xx).
    • Divide R1R_1 by 22: [1,0.5,0.5,05][1, 0.5, 0.5, 0 \mid 5].
    • R2R2R1R_2 \to R_2 - R_1: [0,0.5,0.5,11][0, 0.5, -0.5, 1 \mid 1].
    • R3R3+40R1R_3 \to R_3 + 40 R_1: [0,10,20,0200][0, -10, 20, 0 \mid 200].

    Second Simplex Tableau:

    Basic xx yy s1s_1 s2s_2 Solution Ratio
    xx 1 0.5 0.5 0 5 5/0.5=105 / 0.5 = 10
    s2s_2 0 0.5 -0.5 1 1 1/0.5=21 / 0.5 = 2 (Pivot)
    ZZ 0 -10 20 0 200
    • Pivot element: 0.50.5 (Row s2s_2, Column yy).
    • Divide R2R_2 by 0.50.5: [0,1,1,22][0, 1, -1, 2 \mid 2].
    • R1R10.5R2R_1 \to R_1 - 0.5 R_2: [1,0,1,14][1, 0, 1, -1 \mid 4].
    • R3R3+10R2R_3 \to R_3 + 10 R_2: [0,0,10,20220][0, 0, 10, 20 \mid 220].

    Optimal Tableau Reached (all indicator coefficients 0\ge 0):

    • x=4x = 4
    • y=2y = 2
    • s1=0,s2=0s_1 = 0, s_2 = 0
    • Zmax=220Z_{\text{max}} = 220

    Final Answer:

    • (a) Manufacture 44 units of Article X and 22 units of Article Y.
    • (b) Maximum Profit: Rs 220.
  4. Consider a Lagged Keynesian microeconomic national income model isYt=Ct+ItY_t = C_t + I_t Where Ct=0.75Yt1+200C_t = 0.75Y_{t-1} + 200, It=50+0.15Yt1I_t = 50 + 0.15Y_{t-1}, where YtY_t is total national income, CtC_t is consumption and ItI_t is investment.

    (a) Solve for YtY_t when Y0=Rs 3000Y_0 = \text{Rs } 3000

    (b) Find the value ofY5Y_5 and Y10Y_{10}

    [10]
    View model solution

    Step-by-Step Solution:

    Given:

    • National Income: Yt=Ct+ItY_t = C_t + I_t
    • Consumption function: Ct=0.75Yt1+200C_t = 0.75Y_{t-1} + 200
    • Investment function: It=0.15Yt1+50I_t = 0.15Y_{t-1} + 50
    • Initial income: Y0=Rs 3,000Y_0 = \text{Rs } 3,000

    (a) Solve for YtY_t:

    Step 1: Formulate the First-Order Difference Equation

    Substitute CtC_t and ItI_t into the income equation:

    Yt=(0.75Yt1+200)+(0.15Yt1+50)Y_t = (0.75Y_{t-1} + 200) + (0.15Y_{t-1} + 50)
    Yt=(0.75+0.15)Yt1+(200+50)Y_t = (0.75 + 0.15)Y_{t-1} + (200 + 50)
    Yt=0.90Yt1+250Y_t = 0.90 Y_{t-1} + 250
    Yt0.90Yt1=250Y_t - 0.90 Y_{t-1} = 250

    Step 2: Determine Particular Solution (YY^* / Equilibrium Income)

    Set Yt=Yt1=YY_t = Y_{t-1} = Y^*:

    Y0.90Y=250Y^* - 0.90 Y^* = 250
    0.10Y=2500.10 Y^* = 250
    Y=2500.10=2,500Y^* = \frac{250}{0.10} = 2,500

    Step 3: Determine Complementary Function and General Solution

    For Yt0.90Yt1=0Y_t - 0.90 Y_{t-1} = 0:

    Yc=A(0.90)tY_c = A(0.90)^t

    General solution:

    Yt=Y+A(0.90)t=2,500+A(0.90)tY_t = Y^* + A(0.90)^t = 2,500 + A(0.90)^t

    Step 4: Apply Initial Condition Y0=3,000Y_0 = 3,0003,000=2,500+A(0.90)0=2,500+A    A=3,0002,500=5003,000 = 2,500 + A(0.90)^0 = 2,500 + A \implies A = 3,000 - 2,500 = 500$

    Thus, the exact time path of national income is:

    Yt=2,500+500(0.90)tY_t = 2,500 + 500(0.90)^t

    (Since 0.90<1|0.90| < 1, the time path is stable and converges monotonically to 2,500).


    (b) Find Y5Y_5 and Y10Y_{10}:

    1. For t=5t = 5:

      (0.90)5=0.59049(0.90)^5 = 0.59049
      Y5=2,500+500(0.59049)=2,500+295.245=Rs 2,795.25Y_5 = 2,500 + 500(0.59049) = 2,500 + 295.245 = \mathbf{\text{Rs } 2,795.25}

    2. For t=10t = 10:

      (0.90)10=0.34867844(0.90)^{10} = 0.34867844
      Y10=2,500+500(0.34867844)=2,500+174.339=Rs 2,674.34Y_{10} = 2,500 + 500(0.34867844) = 2,500 + 174.339 = \mathbf{\text{Rs } 2,674.34}

    Final Answer:

    • (a) Yt=2,500+500(0.90)tY_t = 2,500 + 500(0.90)^t
    • (b) Y5=Rs 2,795.25Y_5 = \text{Rs } 2,795.25; Y10=Rs 2,674.34Y_{10} = \text{Rs } 2,674.34

Section D

Comprehensive Answer / Case / Situation Analysis Questions

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