2.6.11 · D5Matrices & Determinants — Introduction
Question bank — Solving 2×2 systems using Cramer's rule
Before we start, three words that every answer below leans on — make sure the picture is in your head:
True or false — justify
Cramer's rule works for every 2×2 system.
False. It only applies when ; if the two lines are parallel or identical, so there is no unique point to hand back and the division is undefined.
If then .
True — but only when . Then . If as well, is not zero, it is undefined by this rule, so the statement can trap you.
always means the system has no solution.
False. only means "no unique solution." It splits into two cases: no solution (parallel distinct lines) or infinitely many (same line), decided by whether are also zero.
Swapping the two equations (rows) changes the solution.
False. Swapping the rows flips the sign of , , and all at once, so every ratio and is unchanged — same lines, same crossing point.
replaces the first row of with the constants.
False. It replaces the first column, because 's coefficients live down column 1. "Variable = column," never row.
If but , the solution is .
True. With both ratios are , so is the unique solution — this is exactly a homogeneous system whose only answer is the origin, see Consistency of linear systems.
Multiplying one whole equation by changes whether Cramer's rule applies.
False. Scaling equation 1 by multiplies the top row of every determinant by , so all scale by ; the ratios and the " or not" verdict are untouched.
A system can have yet still fail to have a solution.
False. guarantees the two lines cross at exactly one point, so a solution always exists and is unique. Failure only happens when .
Spot the error
", so I'll compute anyway and get a big number."
The error is dividing by zero — is undefined, not "big." Once you must stop and inspect to classify the system instead.
"To get , I replaced column 1 with the constants."
Wrong column. owns column 2, so swaps column 2 for the constant column; swapping column 1 there gives you by mistake.
"I computed as ."
A sign flip — the rule is main-diagonal product minus anti-diagonal product, in that order. This student negated ; if they don't also negate the answers come out with wrong signs.
"The system had no solution, but I still wrote ."
You cannot cancel the zero denominator into the numerator. is undefined; with is the signature of no solution, not a value.
"Lines are identical, so I said the answer is one point."
Identical lines overlap everywhere, giving infinitely many solutions, not one. Here , and you describe the solution as a whole line, e.g. with free.
"I found using the constants column instead of the coefficients."
is built purely from the coefficient matrix (the 's and 's). Pulling the constants in turns into or and wrecks the whole ratio.
"Since one equation was after simplifying, I declared the system inconsistent."
A row collapsing to is a true redundant statement — it means the two equations are the same line, giving infinitely many solutions (), the opposite of inconsistent.
Why questions
Why must we compute first, before or ?
Because if Cramer's rule cannot give a value; computing first lets you stop early and switch to classifying the degenerate case rather than dividing by zero.
Why does replacing the -column produce exactly the numerator for ?
Elimination of leaves ; the right side is the determinant of with column 1 swapped for the constants — the algebra manufactures the column swap for you.
Why does correspond to the lines being parallel?
is the signed area of the parallelogram spanned by the two coefficient rows; zero area means the rows point along the same direction, i.e. the two lines have equal slope and are parallel or identical.
Why can't Cramer's rule tell no-solution from infinitely-many by looking at alone?
is common to both degenerate cases. Only and break the tie: all-zero means the same line (infinite), any nonzero means parallel distinct lines (none).
Why does swapping columns within a single determinant flip its sign?
Column swapping is an antisymmetry of the determinant — it reflects the parallelogram, reversing its orientation and hence the sign of the signed area. This is why column order in matters.
Why is secretly the same computation as Cramer's rule?
The inverse Inverse of a 2×2 matrix carries a factor , and multiplying it against reproduces the and ratios term by term — same , same numerators.
Why does scaling an equation not change the solution even though it changes the determinants' sizes?
Scaling row 1 by multiplies all by the same , so the ratios and divide the out — geometrically you rewrote the same line, not moved it.
Edge cases
What happens when (a homogeneous system)?
Then automatically. If the only solution is (the origin); if there are infinitely many solutions through the origin.
What if the two equations are literally the same line written twice?
, so infinitely many solutions; you keep one equation and let one variable run free, e.g. free and expressed from it.
What does Cramer say if (first equation is )?
The top row of is all zeros, forcing ; the "equation" is either impossible (, no solution) or vacuous (, redundant) — it never contributes a usable line for a unique intersection.
Two lines meet at exactly one point but that point is — is ?
No. because the lines are not parallel; the intersection merely happens to sit at the origin, which shows up as while stays nonzero.
Can be negative, and does a negative mean anything is wrong?
Yes, is a signed area, so it can be negative; the sign only records the orientation of the coefficient rows. Nothing is wrong — the ratios still give the correct unique solution.
If I round to zero because it is tiny (like ), have I destroyed a real solution?
Yes. A tiny but nonzero still means the lines cross once, so the system has a genuine unique solution; treating it as falsely declares the system degenerate.