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Material Type: Exam; Professor: Bennett; Class: Math Analysis Business I; Subject: Mathematics; University: Loyola Marymount University; Term: Unknown 1989;
Typology: Exams
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m =
In the latter case, there are more unknowns than equations, so there are only two possibilities:
2 x + 4y − z = 1 3 x − 2 y + z = 2 5 x − y = − 2
Solution:
.
is the reduced row echelon form of the matrix A associated to a system of equations (in x, y, and z), write the solution of the corresponding system of equations. Solution:
x − 2 z = 5 y + z = 2 0 = 0
Do remember to include the third equation.
x − y < 7 3 x + 2y ≥ 6 x ≥ 0
Solution: The solution is unbounded. To solve it graphically, you need to graph the three lines: x − y = 7 (which passes through (0, −7) and (7, 0), graphed with a dashed line), the line 3x + 2y = 6 (which passes through (0, 3) and (2, 0), and the line x = 0 (the y-axis). After checking a test point, we see that the solution is the shaded region to the upper right of the triangle. including the two solid lines as boundary. (I will try and get a picture solution on the web soon, but I am having trouble getting one converted to the type of file I need to do so.)
T F The matrix
[ 1 0 2 0 0 0
] corresponds to a system of equations
with no solutions. Solution: False, the equations become x = 2 and 0 = 0. Since we don’t have a contradiction in the equations, and there are two variables with the second column has no leading 1, there are infinitely many solutions.
T F The matrix
[ 1 0 2 0 1 0
] corresponds to a system of equations with exactly one solution. Solution: True. The corresponding equations are: x = 2 and y = 0 and there are exactly 2 variables there is a unique solution. Alternatively, since every column to the left of the vertical line has a leading 1 and there is not a row with corresponding equation 0 = 1, there must be a unique solution.
T F The matrix
is in row-reduced echelon form.
Solution: False. The first non-zero entry in the last row is a 2, not a 1 as required.
T F The matrix
[ 1 1 2 0 0 0
] is in row-reduced echelon form. Solution: True. Every row has a leading 1 and the column with the leading 1 has 0s elsewhere. T F If A is an m × n matrix and B is an m × k matrix, then AB is an n × k matrix. Solution: False, you cannot multiply A and B since A has a different number of columns as B has rows (unless m = n).
[ − 2 1 3 2
] and B =
[ 1 − 1 4 − 3
] , find the product matrix AB. Solution: The product of the matrices is given by [ − 2 · 1 + 1 · 4 − 2 · (−1) + 1 · (−3) 3 · 1 + 2 · 4 3 · (−1) + 2 · (−3)
[ 2 − 1 11 − 9
]
m =
Using the point-slope equation of the line we obtain
(y − 5) = −2(x − 3).
m =
y = − 3 x − 8.
Substituting this into the first equation we have
2 x + 5(− 3 x − 8) = − 1 2 x − 15 x − 40 = − 1 − 13 x = −1 + 40 adding 40 to both sides − 13 x = 39 x = − 3.
Substituting x = −3 in the first equation we have
2(−3) + 5y = − 1.
Solving this we have y = 1. Thus the solution is x = −3 and y = 1. We can check the answer with the second equation to see that this solution is correct. A second method would be to use matrices. [ 2 5 − 1 3 1 − 8
] R (^1) −→ − 2 R 2
[ 3 1 − 8 2 5 − 1
]
[ 1 − 4 − 7 2 5 − 1
] R (^2) −→ − 2 R 1
[ 1 − 4 − 7 0 13 13
]
1 (^13) −→ R^2
[ 1 − 4 − 7 0 1 1
] R 1 + 4R 2 −→
[ 1 0 − 3 0 1 1
]
This gives us x = −3 and y = 1. Of course, if you have a calculator, you could set this one up with the calculator. However, you might have to solve a 2 × 2 on the no calculator/study sheet allowed portion. The third method would be elimination. To find the y value we would multiply the first equation by 3, the second equation by 2, and then subtract to obtain: 13 y = 13
and thus y = 1. We could either substitute in for y or multiply the second equation by 5 and subtract the first equation from it to obtain
13 x = − 39
or x = −3, and again the solution is x = −3 and y = 1.
2 x − 4 y = − 6 − 3 x + 6y = k.
For what values of k does the system have
(a) no solutions? (b) exactly one solution? (c) infinitely many solutions?
The easiest way to solve this is to first simplify the first equation by dividing both sides by 2. We have that the equations are
x − 2 y = − 3 − 3 x + 6y = k
Note that if we now multiply the first equation by −3 we get
− 3 x + 6y = 9 − 3 x + 6y = k
The only way that we can have any solutions is if k = 9, but in that case there would be infinitely many solutions. Hence:
(a) There are no solutions is k 6 = 9. (b) There is no value for k which gives exactly 1 solution. (c) There are infinitely many solutions if k = 9.
2 x − z = 1 3 x + 2y = 4.
Solution: The matrix would be
(b) Write down what operation should be the first row operation to undertake in Gauss-Jordan elimination. Solution: The first row operation should be R 3 + R 1. This would make the entry in the 3, 1 position a 0.
x + y = 3500.
That the interest paid was 250 dollars, gives the equation
. 06 x +. 07 y = 250.
Thus we have the equations
x + y = 3500 .06 +. 07 y = 250
This gives us the augmented matrix [ 1 1 3500
. 06. 07 250
]
Row reducing this on our calculator yields the matrix [ 1 0 − 500 0 1 4000
]
This matrix corresponds to Sandy investing −500 dollars in the account paying 6% interest, which is ludicrous. Hence we know that the problem (or our solution) must have an error. Note: For this problem, it really is that problem that has the error, but if it was a solution error that you didn’t have time to fix (i.e., if you see this happen on a test) you should tell me that you know the answer is wrong and why. Checking your answer and discovering it is wrong is worthwhile, and I take off fewer points for an incorrect answer that you can explain why you know it is wrong. Now for the correct problem, the initial matrix should be [ 1 1 3500
. 06. 07 220
]
Row reducing this matrix yields [ 1 0 2500 0 1 1000
]
This corresponds to the equations x = 2500 and y = 1000. Thus there must be $2500 invested in the first institution and $1000 invested in the second.
.
Solution: The equations corresponding to the matrix are
x + 2y = − 3 z = 4
To solve, we enter the matrix (call it A) in our calculator to obtain
− 3 65
− 7 65
2 1 5 13
− 2 14 13 0 65
11 65
− 1 5
.
Multiplying the solution column vector by this matrix gives solution:
x =
y =
z =