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11.1 Systems of Linear Equations: Two Variables
11.2 Systems of Linear Equations: Three Variables
11.6 Solving Systems with Gaussian Elimination
11.1 Section Exercises
This means there is no realistic break-even point. By the time the company produces one unit they are already making profit.
11.2 Section Exercises
Not necessarily. There could be zero, one, or infinitely many solutions. For example, is not a solution to the system below, but that does not mean that it has no solution.
Every system of equations can be solved graphically, by substitution, and by addition. However, systems of three equations become very complex to solve graphically so other methods are usually preferable.
$400,000 in the account that pays 3% interest, $500,000 in the account that pays 4% interest, and $100,000 in the account that pays 2% interest.
11.3 Section Exercises
A nonlinear system could be representative of two circles that overlap and intersect in two locations, hence two solutions. A nonlinear system could be representative of a parabola and a circle, where the vertex of the parabola meets the circle and the branches also intersect the circle, hence three solutions.
No. There does not need to be a feasible region. Consider a system that is bounded by two parallel lines. One inequality represents the region above the upper line; the other represents the region below the lower line. In this case, no points in the plane are located in both regions; hence there is no feasible region.
11.4 Section Exercises
No, a quotient of polynomials can only be decomposed if the denominator can be factored. For example, cannot be decomposed because the denominator cannot be factored.
If we choose then the B-term disappears, letting us immediately know that We could alternatively plug in , giving us a B-value of
11.5 Section Exercises
No, they must have the same dimensions. An example would include two matrices of different dimensions. One cannot add the following two matrices because the first is a matrix and the second is a matrix. has no sum.
Not necessarily. To find we multiply the first row of by the first column of to get the first entry of To find we multiply the first row of by the first column of to get the first entry of Thus, if those are unequal, then the matrix multiplication does not commute.
11.6 Section Exercises
Yes. For each row, the coefficients of the variables are written across the corresponding row, and a vertical bar is placed; then the constants are placed to the right of the vertical bar.
No, there are numerous correct methods of using row operations on a matrix. Two possible ways are the following: (1) Interchange rows 1 and 2. Then (2) Then divide row 1 by 9.
No. A matrix with 0 entries for an entire row would have either zero or infinitely many solutions.
11.7 Section Exercises
If is the inverse of then the identity matrix. Since is also the inverse of You can also check by proving this for a matrix.
11.8 Section Exercises
A determinant is the sum and products of the entries in the matrix, so you can always evaluate that product—even if it does end up being 0.