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ISC 2027
All chaptersMaths · Unit 2

Determinants

5 articles20 formulas26 ways the board asks it
MATSystems of Linear Equations

Solving a System of Linear Equations (Matrix Method) & Consistency

A system of linear equations can be written in matrix form AX=BAX = B, where AA is the coefficient matrix, XX the column of unknowns and BB the column of constants. The matrix method solves it as X=A−1BX = A^{-1}B whenever AA is non-singular, and the value of ∣A∣|A| together with the product (adj A)B(\text{adj}\,A)B decides whether the system is consistent (a unique or infinitely many solutions) or inconsistent.

This is the central application of determinants in the ISC syllabus and frequently carries a word problem reducible to three equations in three unknowns.

Matrix form of a system
AX=B⇒X=A−1B=1∣A∣(adj A) BAX = B \quad\Rightarrow\quad X = A^{-1}B = \dfrac{1}{|A|}(\text{adj}\,A)\,B
AA is the coefficient matrix, XX the variable column, BB the constant column; valid only when ∣A∣≠0|A| \ne 0.
Three-variable coefficient matrix
A=(a1b1c1a2b2c2a3b3c3),X=(xyz),B=(d1d2d3)A = \begin{pmatrix} a_1 & b_1 & c_1 \\ a_2 & b_2 & c_2 \\ a_3 & b_3 & c_3 \end{pmatrix},\quad X = \begin{pmatrix} x \\ y \\ z \end{pmatrix},\quad B = \begin{pmatrix} d_1 \\ d_2 \\ d_3 \end{pmatrix}
Rows are formed from the coefficients of x,y,zx,y,z in each equation; d1,d2,d3d_1,d_2,d_3 are the right-hand constants.
Inverse via adjoint
A−1=1∣A∣ adj A,∣A∣≠0A^{-1} = \dfrac{1}{|A|}\,\text{adj}\,A,\qquad |A| \ne 0
adj A\text{adj}\,A is the transpose of the cofactor matrix; required to compute X=A−1BX = A^{-1}B.
Consistency test
{∣A∣≠0unique solution∣A∣=0, (adj A)B≠Ono solution (inconsistent)∣A∣=0, (adj A)B=Oinfinitely many solutions\begin{cases} |A| \ne 0 & \text{unique solution} \\ |A| = 0,\ (\text{adj}\,A)B \ne O & \text{no solution (inconsistent)} \\ |A| = 0,\ (\text{adj}\,A)B = O & \text{infinitely many solutions} \end{cases}
OO is the null column matrix; this classifies the system after computing ∣A∣|A|.
  • Step 1: write the equations in the standard order x,y,zx, y, z (insert a 00 coefficient for any missing variable) and form AA, XX, BB so that AX=BAX = B.
  • Step 2: evaluate ∣A∣|A|. If ∣A∣≠0|A| \ne 0 the system is consistent with a unique solution X=A−1BX = A^{-1}B.
  • Step 3: find adj A\text{adj}\,A (transpose of the cofactor matrix), then A−1=1∣A∣adj AA^{-1} = \dfrac{1}{|A|}\text{adj}\,A, and finally multiply A−1BA^{-1}B to read off x,y,zx, y, z.
  • When ∣A∣=0|A| = 0 the matrix is singular: A−1A^{-1} does not exist, so compute (adj A) B(\text{adj}\,A)\,B to decide between no solution and infinitely many.
  • A homogeneous system AX=OAX = O always has the trivial solution x=y=z=0x=y=z=0; it has non-trivial solutions only if ∣A∣=0|A| = 0.
  • For word problems, define the unknowns clearly, translate each condition into one linear equation, then apply the matrix method; the inverse must pre-multiply, so the order X=A−1BX = A^{-1}B is essential.
  • Always verify the final answer by substituting x,y,zx, y, z back into the original equations.
Where the marks go
  • Computing BA−1B A^{-1} instead of A−1BA^{-1}B; the inverse must pre-multiply, giving X=A−1BX = A^{-1}B.
  • Forgetting to insert a 00 coefficient for a missing variable (e.g. 2x−3y=12x - 3y = 1 has zz-coefficient 00), which corrupts the matrix AA.
  • Declaring a system inconsistent the moment ∣A∣=0|A| = 0 without checking (adj A)B(\text{adj}\,A)B; ∣A∣=0|A|=0 can still allow infinitely many solutions.
  • Sign errors in cofactors while building adj A\text{adj}\,A, or dividing by ∣A∣|A| before taking the transpose.
How the board asks it
  • Numericalmatrix equation AX=BAX = B solved as X=A−1BX = A^{-1}B
    Using matrices, solve the following system of equations: 2x−3y+5z=112x - 3y + 5z = 11, 3x+2y−4z=−53x + 2y - 4z = -5, x+y−2z=−3x + y - 2z = -3.
  • Numericalinverse via adjoint, then X=A−1BX = A^{-1}B
    If A=[1−1121−3111]A = \begin{bmatrix} 1 & -1 & 1 \\ 2 & 1 & -3 \\ 1 & 1 & 1 \end{bmatrix}, find A−1A^{-1} and hence solve the system x−y+z=4x - y + z = 4, 2x+y−3z=02x + y - 3z = 0, x+y+z=2x + y + z = 2.
  • Applicationword problem reducible to three equations in three unknowns
    The cost of 4 kg4\,\text{kg} onion, 3 kg3\,\text{kg} wheat and 2 kg2\,\text{kg} rice is 6060 rupees; the cost of 2 kg2\,\text{kg} onion, 4 kg4\,\text{kg} wheat and 6 kg6\,\text{kg} rice is 9090 rupees; and the cost of 6 kg6\,\text{kg} onion, 2 kg2\,\text{kg} wheat and 3 kg3\,\text{kg} rice is 7070 rupees. Using the matrix method, find the cost per kg of each item.
  • Identify / classifyconsistency test using ∣A∣|A| and (adj A)B(\text{adj}\,A)B
    Examine the consistency of the system x+2y+z=3x + 2y + z = 3, 2x+3y+2z=52x + 3y + 2z = 5, 3x+5y+3z=83x + 5y + 3z = 8, and state whether it has a unique solution, infinitely many solutions or no solution.
  • Numericalhomogeneous system has a non-trivial solution only if ∣A∣=0|A| = 0
    Find the value of λ\lambda for which the homogeneous system λx+2y+z=0\lambda x + 2y + z = 0, 2x+y−z=02x + y - z = 0, x−y+2z=0x - y + 2z = 0 has a non-trivial solution.

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Written for Sublevo. Question text quoted anywhere in these notes is the Council’s and carries its year and paper; the board’s own diagrams are not reproduced.