Exercise 4.5 · Q2: Is , consistent?
Examine the consistency of the system of equations.
The system is , where
. So is non-singular, exists and the system has a unique solution, .
The system is consistent.
Want the reason behind every step, the basics and the checks?
Consistency means "at least one solution exists". Put the system in the form and look at . A non-zero determinant guarantees that exists and that is the one and only solution. Here , so the system is consistent; solving it gives , , the point where the two lines cross.
- Given
- Two linear equations in and . Note the in the first one: its coefficient is .
- To find
- Whether the system is consistent or inconsistent.
- Plan
- (1) Write . (2) Compute . (3) , so Case I of Section 4.6.1 applies: consistent. (4) Find using the adjoint, and check it.
Basics you need
Section 4.6: consistent means a solution (one or more) exists; inconsistent means none exists. With two unknowns, each equation is a line, and solutions are the points on both lines. Basics: two lines, cross, parallel or the same
A term written means , and a term means . These hidden 1s and s are entries of . Basics: algebra the chapter leans on
If , then , where is the transpose of the matrix of cofactors. Basics: why the inverse divides by |A|
Solution
Write the system as
is and is , so is defined and is , like :
Setting this equal to entry by entry gives back and .
The first row of holds the coefficients of the first equation, in the order , then . The supplies the entry ; the second equation supplies two 1s. Multiplying out confirms nothing has been misplaced.Equal matrices have equal entries, so is the same as both equations together. Basics: matrix facts the chapter usesCompute
So , and is non-singular.
The other diagonal is and , with product . Subtracting adds 1, which is why the answer is , not . Brackets around keep that sign visible.Conclude: the system is consistent
Since , exists (Theorem 4, Section 4.5). Pre-multiplying by gives , and this does satisfy the system because . So a solution exists, and it is the only one: the system is consistent.
This is Case I of Section 4.6.1. The determinant alone settles consistency here; the solution is found next as confirmation and because the matrix method is the point of the exercise.Cofactors and
For each entry, delete its row and column; the single entry left is the minor . Then :
The adjoint is the transpose of the matrix of cofactors:
is the cofactor of the entry in row 2, column 1. Deleting row 2 and column 1 leaves the entry , and the sign turns it into . In the adjoint, moves to row 1, column 2: that is the transpose. Shortcut check: swap 2 and 1 on the diagonal, change the signs of and .Definition 3, Section 4.5.1. Lesson: the adjoint, checked by
Check with Theorem 1: should be . Entry by entry:
So , and dividing by 3 gives . ✓
Leaving the outside the matrix keeps the arithmetic in whole numbers. The check is worth the half minute: a wrong sign in a cofactor would show up as a non-zero off-diagonal entry.(Theorem 1, Section 4.5.1). Basics: why the inverse divides by |A|The solution
So , .
The product of the matrix and the column is a column, one entry per unknown. Each entry is a row times , then the factor is applied.Row times column, then the scalar. Basics: matrix facts the chapter usesCheck in both original equations
The line rises (slope 2), the line falls (slope ). Different slopes, so they meet exactly once, at . Both equations hold, so really is a solution, which is exactly what "consistent" asks for. Geometrically, rewriting the equations as and shows the slopes 2 and are different, so the lines cannot be parallel.Lines with different slopes cross at one point. Basics: two lines, cross, parallel or the same
, so the system is consistent, with the unique solution , . (Textbook answer: Consistent.)
Add the two equations: , so and . Then . Elimination gives the same point, and the "3" in is no accident: it is .
- Entering as or forgetting has coefficients 1. Then is wrong and so is everything after it.
- Computing as . The other diagonal product is , and subtracting it gives .
- Forgetting the transpose. The matrix of cofactors has rows and ; using it as the adjoint, without transposing, gives the wrong inverse.
- Applying to only one entry. The scalar multiplies every entry of the product.
- settles consistency at once: there is exactly one solution.
- Keep the factor outside until the end; the arithmetic stays in whole numbers.
- Check the answer in the original equations, and for the adjoint.
Every fact used, and where it comes from
| Fact | Used in | Source |
|---|---|---|
| Consistent and inconsistent systems | Step 3, Result | Section 4.6 (Lesson: solving systems AX = B) |
| A system as | Step 1 | Section 4.6.1 |
| determinant | Step 2 | Section 4.2.2 |
| unique solution | Step 3 | Section 4.6.1, Case I |
| Step 4 | Definitions 1 and 2, Section 4.4 | |
| = transpose of the matrix of cofactors | Step 4 | Definition 3, Section 4.5.1 |
| Step 5 | Theorem 1, Section 4.5.1 | |
| when | Steps 3, 5 | Theorem 4, Section 4.5 |
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