Q.Solve the following system of linear equations using the matrix method: 2x−y=−2 3x+4y=3
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Solving a System of Equations by the Matrix Method
A system of linear equations can be written as a single matrix equation and solved in one clean step using the inverse of a matrix. This is the Class-12 "matrix method" for simultaneous equations.
Writing the system as AX=B
Take the system
a1x+b1y+c1z=d1,a2x+b2y+c2z=d2,a3x+b3y+c3z=d3.
Collect the coefficients, the unknowns, and the constants into matrices:
A=a1a2a3b1b2b3c1c2c3,X=xyz,B=d1d2d3.
Then the whole system is just
AX=B.
Solving when A is invertible
If det(A)=0, then A−1 exists, and multiplying both sides on the left by A−1 gives
X=A−1B,where A−1=det(A)1adj(A).
So you compute det(A), then adj(A), form A−1, and multiply by B. The single column X=A−1B hands you x, y, z at once, and because A−1 is unique, the solution is unique.
Multiply in the correct order: X=A−1B, not BA−1. Matrix multiplication is not commutative, and BA−1 is not even defined here.
When det(A)=0
If det(A)=0, A−1 does not exist and the inverse method fails. The system is then either inconsistent (no solution) or has infinitely many solutions. Decide which by computing (adjA)B:
- (adjA)B=O → no solution (inconsistent).
- (adjA)B=O → infinitely many solutions (consistent, dependent). …
The key idea is to solve a system of linear equations using the matrix method, where we write the system as Ax=b and find x=A−1b.
Step 1: Write the system in matrix form.
[23−14][xy]=[−23]
Step 2: Find the inverse of the coefficient matrix. The determinant is det(A)=(2)(4)−(−1)(3)=8+3=11. So,
A−1=111[4−312]
Step 3: Multiply A−1 by b. …
This is a system of two linear equations in two variables. The key idea is to solve by elimination: multiply the first equation so that the coefficients of y cancel when added to the second. The solution is x=−115, y=1112.
We have two equations:
2x−y=−2(1)
3x+4y=3(2)
The goal is to find a pair (x,y) that satisfies both simultaneously. The most reliable method here is elimination — we manipulate the equations so that adding them cancels one variable. Why elimination? Because it avoids fractions early and works cleanly with integer coefficients.
-
Choose which variable to eliminate.
Look at the coefficients: y has −1 in equation (1) and +4 in equation (2). If we multiply equation (1) by 4, the y terms become −4y and +4y, which cancel when added. That’s a clean move.
-
Multiply equation (1) by 4:
4⋅(2x−y)=4⋅(−2)⇒8x−4y=−8
Call this equation (1′).
- Add equation (1′) to equation (2):
(8x−4y)+(3x+4y)=−8+3
The −4y and +4y cancel perfectly, leaving:
11x=−5
- Solve for x:
x=−115
A common mistake is forgetting to multiply the entire equation — including the constant term — when scaling. Here we multiplied −2 by 4 to get −8, not just the x and y terms.
- Substitute x back into one original equation to find y. …
Method: Solving a 2×2 System by the Matrix Inverse, With Fractional Values
The matrix method works identically whether the final answer comes out as whole numbers or fractions — the fraction only appears at the very last step, when dividing by the determinant.
Steps
Step 1: Write AX=B from the two equations
A=(acbd),B=(pq)
Step 2: Compute det(A)=ad−bc carefully, watching the signs
When b or c is itself negative, −bc can flip from subtraction to addition — write out ad−bc term by term rather than doing it mentally, to avoid a sign slip here.
Step 3: Build A−1=det(A)1(d−c−ba)
Keep the det(A)1 factor attached symbolically rather than dividing early — this keeps the numbers as clean integers for as long as possible. …
Common Mistakes
Mistake 1: Dropping the double-negative when computing det(A)
Why it's wrong: here det(A)=(2)(4)−(−1)(3); the second term is −(−1)(3)=+3, not −3, so the correct total is 8+3=11. A student who forgets the double-negative computes 8−3=5 instead, and every later step (the inverse, and hence x,y) inherits this wrong determinant. Correct approach: expand −bc term by term when b or c is negative, writing −(−1)(3) explicitly rather than simplifying by eye.
Mistake 2: Forgetting to divide by the determinant after building the swap-negate matrix …
- COMEDK 2023Set 2023-E1 markMCQQ.If 2A+3B=[23−1245] and A+2B=[510632] then B= (A) [−81−1−10−21] (B) [8−1110−2−1] (C) [8−11102−1] (D) [8−1−1102−1]
›Reveal solutionSolution
Taking 2×(A+2B)−(2A+3B) isolates B, yielding [8−11102−1].
We have
2A+3B=[23−1245],A+2B=[510632].
Multiply the second equation by 2:
2A+4B=[10201264].
Subtract the first equation:
(2A+4B)−(2A+3B)=B=[10−22−30−(−1)12−26−44−5]=[8−11102−1]. …
- COMEDK 2024Set 2024-M1 markMCQQ.If [1x1]121535321212x=[0] then x is equal to (A) 2, 14 (B) −2,−14 (C) 7, 4 (D) 2, −14
›Reveal solutionSolution
The problem is a matrix product that simplifies to a quadratic equation in x; solving it gives x=2 or x=−14, which matches option (D).
We are given a product of three matrices that equals the 1×1 matrix [0]. That means the entire expression is just a number — zero. The trick is to multiply step by step, keeping careful track of dimensions: the first is 1×3, the second is 3×3, the third is 3×1, so the result is 1×1.
Let’s denote:
A=[1x1],B=1215353212,C=12x.
We have A(BC)=0 or (AB)C=0 — matrix multiplication is associative, so we can choose whichever order is simpler.
- First multiply B and C (the 3×3 times the 3×1):
BC=1⋅1+3⋅2+2⋅x2⋅1+5⋅2+1⋅x15⋅1+3⋅2+2⋅x=1+6+2x2+10+x15+6+2x=7+2x12+x21+2x.
- Now multiply A by that result (a 1×3 times a 3×1):
A(BC)=[1x1]7+2x12+x21+2x=1⋅(7+2x)+x⋅(12+x)+1⋅(21+2x).
- Simplify the expression:
=7+2x+12x+x2+21+2x=x2+(2x+12x+2x)+(7+21)=x2+16x+28.
- Set equal to zero (since the product is [0]):
x2+16x+28=0.
- Solve the quadratic:
- COMEDK 2024Set 2024-E1 markMCQQ.If the matrix A is such that A(−1321)=(−4717) then A is equal to (A) (121−3) (B) (−1213) (C) (1−213) (D) (12−13)
›Reveal solutionSolution
Right-multiply the given equation by the inverse of the known matrix: A=BM−1=(12−13).
We are given AM=B, where
M=(−1321),B=(−4717).
Since AM=B, isolate A by right-multiplying with M−1:
A=BM−1.
Find M−1. The determinant is
detM=(−1)(1)−(2)(3)=−1−6=−7.
So
M−1=−71(1−3−2−1)=(−71737271).
Multiply.
A=(−4717)(−71737271).
Entry by entry: …
- COMEDK 2026Set 2026-A1 markMCQQ.Given A=[x1−2] and B=147258369 If ABAt=[−20] then the value of x is: (A) -1 (B) -3 (C) 11 (D) 1
›Reveal solutionSolution
Performing the multiplication ABAt gives the scalar x2−14x+13. Setting it equal to −20 yields x2−14x+33=0, so x=3 or x=11. Only x=11 appears among the options, so the correct choice is (C).
We are given a row vector A=[x1−2] and a 3×3 matrix B. The product ABAt is a 1×1 matrix (a scalar), and we are told it equals [−20]. Our job is to find x.
Concept & Intuition
The expression ABAt is a quadratic form in the entries of A. Since A is 1×3 and B is 3×3, AB is a 1×3 row vector; multiplying that by At (a 3×1 column) yields a single number. We can compute step by step: first multiply A by B, then dot the result with At. This will give a quadratic equation in x.
Step-by-step solution
- Compute AB A is 1×3, B is 3×3, so AB is 1×3.
AB=[x1−2]147258369
Multiply:
- First column: x⋅1+1⋅4+(−2)⋅7=x+4−14=x−10
- Second column: x⋅2+1⋅5+(−2)⋅8=2x+5−16=2x−11
- Third column: x⋅3+1⋅6+(−2)⋅9=3x+6−18=3x−12 So
AB=[x−102x−113x−12].
- Multiply (AB) by At At is the column vector x1−2.
(AB)At=[x−102x−113x−12]x1−2
This is a dot product:
=(x−10)⋅x+(2x−11)⋅1+(3x−12)⋅(−2)
Simplify term by term:
- First term: x(x−10)=x2−10x
- Second term: 2x−11
- Third term: −2(3x−12)=−6x+24 Sum:
x2−10x+2x−11−6x+24=x2+(−10x+2x−6x)+(−11+24)
=x2−14x+13.
- Set equal to −20 and solve We are given ABAt=[−20], so
x2−14x+13=−20.
Bring all terms to one side: …
- KCET 2025Set A-11 markMCQQ.If B=[113α] be the adjoint of a matrix A and ∣A∣=2, then the value of α is (A) 4 (B) 5 (C) 2 (D) 3
›Reveal solutionSolution
Use the determinant of the adjoint, ∣adjA∣=∣A∣n−1, which for a 2×2 matrix collapses to ∣adjA∣=∣A∣.
Step 1 — The key property.
From the fundamental identity
A(adjA)=∣A∣In,
take determinants of both sides:
∣A∣⋅∣adjA∣=∣A∣In=∣A∣n
(the last step uses ∣kIn∣=kn). Dividing by ∣A∣=0:
∣adjA∣=∣A∣n−1
Step 2 — Specialise to n=2.
Here B=adjA is 2×2, so A is 2×2 too, giving n=2:
∣B∣=∣adjA∣=∣A∣2−1=∣A∣1=∣A∣=2.
(A nice special fact: for a 2×2 matrix, the adjoint has the same determinant as the matrix.)
Step 3 — Compute ∣B∣ directly from its entries.
B=[113α]⟹∣B∣=(1)(α)−(3)(1)=α−3.
Step 4 — Equate and solve.
α−3=2⟹α=5.
Step 5 — Sanity check. …
- KCET 2023Set A-21 markMCQQ.If A and B are two matrices such that AB=B and BA=A then A2+B2= (A) 2AB (B) AB (C) 2BA (D) A+B
›Reveal solutionSolution
Use associativity to re-bracket A⋅A as A(BA)=(AB)A — the two given relations then collapse each square back to the matrix itself (both A and B are idempotent).
Step 1 — Given.
AB=BandBA=A
Step 2 — Show A2=A.
Since BA=A, replace the second A:
A2=A⋅A=A(BA)
Matrix multiplication is associative, so
A(BA)=(AB)A=BA=A
Hence A2=A.
Step 3 — Show B2=B (same trick).
Since AB=B, replace the second B:
B2=B⋅B=B(AB)=(BA)B=AB=B …
- COMEDK 2024Set 2024-E1 markMCQQ.
[!FORMULA] If 3A+4Bt=(70−1061731) and 2B−3At=−14−518−6−7 then (5B)t=
(A) (515501020) (B) (−5−15501020) (C) (515−50−10−20) (D) (515−501020)›Reveal solutionSolution
We treat the two matrix equations as a linear system in the unknown matrices A and B. By taking transposes appropriately and solving, we find B and then (5B)t. The result matches option (D).
We are given two matrix equations involving A and B (both are 2×3 matrices, as we can infer from the dimensions of the given matrices). The trick is to treat these as simultaneous equations in the unknown matrices, but we must handle the transpose operation carefully.
1. Understand the dimensions and the unknowns
The first equation:
3A+4Bt=(70−1061731)
The right-hand side is 2×3, so 3A and 4Bt must also be 2×3. Hence A is 2×3 and Bt is 2×3, meaning B is 3×2.
The second equation:
2B−3At=−14−518−6−7
The right-hand side is 3×2, so 2B and 3At are 3×2. Since A is 2×3, At is 3×2, consistent.
So we have two matrix equations:
{3A+4Bt=M(M is the 2×3 matrix)2B−3At=N(N is the 3×2 matrix)
2. Eliminate A by taking a transpose
If we transpose the second equation, we get:
(2B−3At)t=Nt
Since (B)t=Bt and (At)t=A, this becomes:
2Bt−3A=Nt
Now Nt is a 2×3 matrix (transpose of the given 3×2 matrix):
Nt=(−1184−6−5−7)
So we now have two equations in the unknowns A and Bt (both 2×3):
{3A+4Bt=M−3A+2Bt=Nt
3. Solve the linear system for Bt
Add the two equations to eliminate A:
(3A+4Bt)+(−3A+2Bt)=M+Nt
6Bt=M+Nt
Now compute M+Nt:
M+Nt=(7−10+18−10+46−617−531−7)…M=(70−1061731),Nt=(−1184−6−5−7)
- KCET 2025Set A-11 markMCQQ.If A is a square matrix such that A2=A, then (I−A)3 is (A) I−A (B) A−I (C) I+A (D) −I−A
›Reveal solutionSolution
A2=A means every power of A is just A; expanding (I−A)3 then collapses to I−A.
Step 1 — Why we may expand binomially.
I commutes with every matrix (AI=IA=A), so I and A commute and the ordinary binomial expansion is valid:
(I−A)3=I3−3I2A+3IA2−A3=I−3A+3A2−A3.
Step 2 — Use idempotency to reduce the powers.
Given A2=A. Then
A3=A2⋅A=A⋅A=A2=A.
So both A2 and A3 equal A.
Step 3 — Substitute and simplify.
(I−A)3=I−3A+3(A)−(A)=I−3A+3A−A=I−A.
Step 4 — A neat cross-check. …
- KCET 2024Set A-11 markMCQQ.If A=(1111), then A10 is equal to (A) 28A (B) 29A (C) 210A (D) 211A
›Reveal solutionSolution
Compute A2: it turns out to be a scalar multiple of A, which collapses every higher power into a simple geometric pattern.
Step 1 — Square the matrix.
A2=(1111)(1111)=(1⋅1+1⋅11⋅1+1⋅11⋅1+1⋅11⋅1+1⋅1)=(2222)=2A.
Step 2 — Why this makes all powers easy.
Because A2=2A (a scalar times A), multiplying again by A just pulls out another factor of 2:
A3=A2⋅A=(2A)A=2A2=2(2A)=22A.
Step 3 — Induction.
Claim: An=2n−1A for n≥1. True for n=1 (A1=20A). If Ak=2k−1A, then …
- KCET 2021Set A-11 markMCQQ.If A and B are invertible matrices then which of the following is not correct? (A) adjA=∣A∣A−1 (B) det(A−1)=[det(A)]−1 (C) (AB)−1=B−1A−1 (D) (A+B)−1=B−1+A−1
›Reveal solutionSolution
Test each identity; the inverse of a sum is not the sum of the inverses, so (D) is the false statement.
Step 1 — Check (A): adjA=∣A∣A−1.
The defining property of the adjoint is A(adjA)=∣A∣I. Pre-multiplying by A−1 (which exists since A is invertible):
adjA=∣A∣A−1.TRUE
Step 2 — Check (B): det(A−1)=[detA]−1.
From AA−1=I and the multiplicative property of determinants,
det(A)⋅det(A−1)=det(I)=1⇒det(A−1)=detA1.TRUE
Step 3 — Check (C): (AB)−1=B−1A−1 (the reversal law).
(AB)(B−1A−1)=A(BB−1)A−1=AIA−1=I,
and likewise on the other side. So B−1A−1 is indeed the inverse of AB. TRUE
Step 4 — Check (D): (A+B)−1=B−1+A−1.
This is false in general. A concrete counterexample: take A=B=I2. Then …
- KCET 2025Set A-11 markMCQQ.If A is a square matrix satisfying the equation A2−5A+7I=0, where I is the Identity matrix and 0 is null matrix of same order, then A−1= (A) 71(5I−A) (B) 71(A−5I) (C) 7(5I−A) (D) 51(7I−A)
›Reveal solutionSolution
Factor the matrix polynomial so that A multiplies a bracket equal to a scalar multiple of I — that bracket, divided by the scalar, is the inverse.
Step 1 — The concept.
By definition, A−1 is the unique matrix with AA−1=I. So if we can manipulate the given equation into the shape
A⋅(something)=I,
that something must be A−1. (This also silently proves A is invertible, which is why the trick works.)
Step 2 — Rearrange the given relation.
A2−5A+7I=0⟹7I=5A−A2.
Step 3 — Factor out A on the right.
Matrix multiplication distributes over subtraction, and A⋅I=A, so
5A−A2=A(5I−A).
Hence
A(5I−A)=7I.
Step 4 — Divide by the scalar and read off the inverse.
A[71(5I−A)]=I.
Comparing with AA−1=I:
A−1=71(5I−A)
Step 5 — Verify (always check on an inverse question). …
- KCET 2026Set UNKNOWN1 markMCQQ.The system of equations x+2y=3 and 2x+3y=3 has (A) No solution (B) Unique solution (C) Infinite solutions (D) Only two solutions
›Reveal solutionSolution
Check the determinant of the coefficient matrix to classify the system, then solve directly.
Step 1 — Test for a unique solution
For x+2y=3 and 2x+3y=3, the coefficient determinant is
1223=(1)(3)−(2)(2)=3−4=−1=0.
Since this determinant is non-zero, the system has a unique solution.
Step 2 — Solve to confirm
From the first equation, x=3−2y. Substituting into the second: …
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