Skip to content
Free public beta until December 4, 2026: every course is open, no card needed. After that, the first chapter of each course stays free and full access is a one-time $39 ($19 for up to 100 founding members chosen for helpful feedback). Your progress is kept. How the beta works

Recipe

Solve a system by Cramer's rule

Use when: you have a square system A\mathbf x=\mathbf b with \det A\neq0 and want one variable in isolation, as a ratio of two determinants, without eliminating the whole system

Goal: every x_i, each computed as \det A_i(\mathbf b)/\det A, with A_i(\mathbf b) built by replacing exactly one column of A with \mathbf b

Taught in Cramer's rule and the adjugate

  1. 1

    Set up the coefficient matrix and the right-hand-side vector, then compute \det A.

    Example

    For x+2y=5,\ 3x-y=1: A=\begin{pmatrix}1&2\\3&-1\end{pmatrix}, \mathbf b=\begin{pmatrix}5\\1\end{pmatrix}, \det A=(1)(-1)-(2)(3)=-1-6=-7\neq0.

    • \det A\neq0 — continue; a unique solution exists and Cramer's rule can find it.
    • \det A=0 — stop; Cramer's rule doesn't apply, since every ratio below would divide by zero.

    Why: every later step divides by \det A, so confirming it's nonzero first is what guarantees Cramer's rule has an answer to give at all.

  2. 2

    For the variable x_i, copy A but replace its column i with \mathbf b, leaving every other column exactly as it was in A.

    Example

    Replacing column 1 (for x) with \mathbf b: A_1(\mathbf b)=\begin{pmatrix}5&2\\1&-1\end{pmatrix} — column 2 is untouched. Replacing column 2 (for y) with \mathbf b instead: A_2(\mathbf b)=\begin{pmatrix}1&5\\3&1\end{pmatrix} — column 1 is untouched.

    Why: replacing exactly one column with \mathbf b is what isolates that one variable's contribution — every other column still carries the coefficients that pin the other variables in place.

  3. 3

    Evaluate each column-replaced determinant the same way you computed \det A.

    Example

    \det A_1(\mathbf b) = (5)(-1)-(2)(1) = -5-2=-7, \qquad \det A_2(\mathbf b) = (1)(1)-(5)(3) = 1-15=-14

    Why: these are the only two extra numbers, besides \det A itself, that Cramer's rule needs — no elimination on the system ever happens.

  4. 4

    Compute x_i = \det A_i(\mathbf b)/\det A for each i.

    Example

    x=\frac{\det A_1(\mathbf b)}{\det A}=\frac{-7}{-7}=1,\qquad y=\frac{\det A_2(\mathbf b)}{\det A}=\frac{-14}{-7}=2

    Why: this ratio is exactly what the theorem behind Cramer's rule guarantees equals x_i — nothing further to solve for once both determinants are known.

  5. 5

    Plug every computed value back into every original equation, not just one of them.

    Example

    x+2y = 1+2(2) = 5 ✓, and 3x-y = 3(1)-2 = 1 ✓ — both original equations hold.

    Why: this catches an arithmetic slip in any determinant before it gets reported as the final answer.

Common mistakes

  • Replacing a ROW of A instead of a column — Cramer's rule always swaps a column for \mathbf b, never a row.
  • Forgetting to check \det A\neq0 before dividing by it.
  • Building A_2(\mathbf b) by editing the already-modified A_1(\mathbf b) instead of starting fresh from A each time, accidentally leaving \mathbf b sitting in two columns at once.
  • Dividing \det A by \det A_i(\mathbf b) instead of the other way around.