Exercise 4.5 · Q6: Is , , consistent?
Examine the consistency of the system of equations.
The system is , where
Expanding along :
. 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 is settled by one number. Write the system as and compute . It comes out , which is not 0, so exists and is a solution, the only one. The system is consistent. Working out through the adjoint gives that solution, , , , which we check in all three equations.
- Given
- Three linear equations in ; every coefficient is non-zero.
- To find
- Whether the system is consistent or inconsistent.
- Plan
- (1) Write . (2) Expand along row 1. (3) : consistent by Case I of Section 4.6.1. (4) Find all nine cofactors, , and check . (5) Compute and check it.
Basics you need
Section 4.6: consistent means at least one solution exists. If , Case I of Section 4.6.1 gives exactly one solution, . Basics: when a system has one, none or many solutions
Along row 1,
and the signs of the cofactors follow
is the transpose of the matrix of cofactors, , and when . Basics: why the inverse divides by |A|
Each entry of a product is a row of the first matrix times a column of the second: multiply in pairs and add. Basics: matrix facts the chapter uses
Solution
Write the system as
is and is , so is :
and is the given system, entry by entry.
The in the first equation is the entry , and the in the third is . Each row of is one equation; each column belongs to one unknown.Expand along row 1
No entry is zero, so every row costs three minors; row 1 is as good as any. Signs :
So .
The middle term is : pattern sign , entry , minor , giving overall. In the first minor, and , and subtracting adds 10.Expansion along , Section 4.2.3. Lesson: expanding a 3 × 3 determinantConclude: the system is consistent
, so is non-singular and invertible (Theorem 4). Then satisfies , and any solution must equal it. So the system is consistent, with exactly one solution.
This is Case I of Section 4.6.1, and it fully answers the question. The remaining steps find the solution, which the matrix method is designed to do, and give a numerical confirmation.All nine cofactors
Each minor deletes the row and column of its entry. For example, deletes row 2 and column 1, leaving from row 1 and from row 3; its value is , that is , and the sign makes it . The first row of cofactors, , reproduces : .Definitions 1 and 2, Section 4.4. Lesson: minors and cofactors, checked by
Transpose the matrix of cofactors: row 1 of cofactors becomes column 1, and so on.
Row of times column of :
So ✓, and therefore
For instance, entry is row 2 of , , times column 1 of , : . Getting on the diagonal and 0 elsewhere (Theorem 1) confirms every cofactor at once.Definition 3, Theorem 1 (Section 4.5.1) and Theorem 4. Lesson: inverse of a matrixThe solution
First , a column:
Then divide by 51:
So , , .
. Doing the whole-number product first and dividing at the end avoids fractions; and , so the division comes out exact.Check in all three equations
Substituting into the equations exactly as printed confirms the solution, and with it the consistency: a solution has been exhibited.
, so the system is consistent, with the unique solution , , . (Textbook answer: Consistent.)
Expand a second way, down column 1 with the cofactors from Step 4:
Same value. And by elimination: the first equation minus the third gives ; with , : . ✓
- Sign slips in the middle term of the expansion: is , not .
- Using the matrix of cofactors as without transposing.
- Dividing by 51 too early. It works, but every entry becomes a fraction; dividing at the end is cleaner.
- Answering only "consistent" without the reason . The reason is the whole content of the answer.
- means consistent with exactly one solution; no other test is needed.
- is the best check of a page of cofactors.
- Compute in whole numbers, then divide by .
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) |
| Expansion of a determinant along a row or column | Step 2, check | Section 4.2.3 |
| Step 4 | Definitions 1, 2, Section 4.4 | |
| = transpose of the matrix of cofactors | Step 5 | Definition 3, Section 4.5.1 |
| Step 5 | Theorem 1, Section 4.5.1 | |
| for | Steps 3, 5 | Theorem 4, Section 4.5 |
| unique solution | Steps 3, 6 | Section 4.6.1, Case I |
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