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Matrix Algebra

Investment Allocation Problem
Donald Trump has some pocket change he wants to invest to make $3380. His stock broker suggested four (4) investment possibilities to accomplish this goal. The investments and their expected yields are listed in the table below.
Investment Rate of Return Risk Level
Magellan Stock Fund 12% Medium
Fidelity Stock Fund 15% High
NY City Bond Fund 7% Low
Fidelity Fixed Income Fund 5% Low

The total amount to be invested is $40000, and because "The Don" is concerned about risk, he only wishes to invest $13500 in stock funds, and the rest in lower risk funds. To keep risk even lower, his broker suggested investing half of the amount invested in Fidelity Stock into the Magellan Stock Fund. In other words, $0.50 in the Fidelity Stock Fund for every $1 invested in the Magellan Fund. How much should Mr. Trump invest on each fund to achieve his financial goal?

To solve this problem, we start by creating a linear system of four equations and four unknowns. Let x1, x2, x3, and x4 correspond to the investment amount on Magellan, Fidelity, NY City Fund, and the Fidelity Fixed Income Fund, respectively. Then, we write the equations with the information provided:

Investment Constraint Equation
The sum of all investments must be $40,000: x1+x2+x3+x4 = 40000
Return on investment must be $3380: 0.12x1+0.15x2+0.07x3+0.05x4=3380
Amount in low-risk funds must be $26500: x3+x4=26500
$0.50 in Fidelity for every $1 in Magellan: x1-2x2=0

This linear system of equations can be written in augmented matrix form:

To complete the problem, use Gauss-Jordan elimination to find the solution vector X= . In the process, you should show your work neatly. If you used the X=A-1B approach using a computer or a calculator, make sure to explain all steps leading to the answer. This quiz is worth 10 points, and must be turned in NLT Thursday, December 9th in class.

Good luck!

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Solution Summary

This shows how to determine investments to achieve a goal.

Solution Preview

We use the Gauss-Jordan elimination method. The augmented matrix is as follow:

First, we interchange the second and the third rows. Then we interchange the second and the third rows of the new matrix to get:

That is because the last row starts with zeros now. Now we use the (1, 1) entry to ...

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