Q.(a) If A=102020213, then show that A3−6A2+7A+2I=O.
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🔒 Start your 14-day free trial to unlock the full solution →Part (a)Concept understanding — Matrix Polynomial Evaluation
Matrix Polynomial Evaluation
You know how to evaluate a polynomial like p(x)=2x2−3x+5 at a number: plug in x, get a number out. Now plug in a square matrix A instead. The variable becomes A, and — crucially — the constant term becomes a multiple of the identity matrix I, because you cannot add a bare number to a matrix.
The Definition
For p(x)=anxn+⋯+a1x+a0 and a square matrix A,
p(A)=anAn+an−1An−1+⋯+a1A+a0I.
Here Ak is k-fold matrix multiplication, akAk is scalar multiplication, and a0I replaces the constant. The result is a square matrix of the same size as A.
There is no ambiguity from non-commutativity here: a polynomial only ever multiplies A by itself, and A always commutes with A.
A Worked Example
Let p(x)=x2−4x+3 and A=(2013).
A2=(4059),−4A=(−80−4−12),3I=(3003).
Adding term by term,
p(A)=(−1010).
A Shortcut for Diagonal Matrices
If A=(λ100λ2), then Ak=(λ1k00λ2k), so
p(A)=(p(λ1)00p(λ2)).
You simply evaluate p at each diagonal entry. …
Part (b)Concept understanding — Inverse Matrix Method
The Inverse Matrix Method
Many problems reduce to a system of linear equations, for example
2x+3yx− y=8=−1.
The inverse matrix method solves such a system by writing it as a single matrix equation and then undoing the coefficient matrix with its inverse — the matrix analogue of dividing.
Writing the system as AX=B
Collect the coefficients, the unknowns and the constants:
A=(213−1),X=(xy),B=(8−1),
so the whole system becomes AX=B.
The idea
For numbers, ax=b gives x=a−1b provided a=0. The same works for matrices: if A is invertible, multiply AX=B on the left by A−1:
A−1(AX)=A−1B⇒IX=A−1B⇒X=A−1B.
X=A−1B
Multiplying on the left matters — matrix products do not commute, so BA−1 would be wrong.
When it works
The inverse A−1 exists only when detA=0, so:
- detA=0: the system is consistent with the unique solution X=A−1B.
- detA=0: no inverse; the system is either inconsistent (no solution) or has infinitely many — handle it by another method.
Worked steps
For the system above, detA=(2)(−1)−(3)(1)=−5=0, and
A−1=−51(−1−1−32).
Then …
Part (a)
With A=102020213 compute the powers.
A2=5280408513,A3=211234080342355.
Then
A3−6A2+7A+2I=211234080342355−3012480240483078+7014014014721+200020002=O. …
- Computing A2,A3 directly gives A3−6A2+7A+2I=O.
- A−1=−311adjA; since the coefficient matrix equals AT, we solve the system to get x=2, y=1.
Part (a)
We must verify the matrix polynomial A3−6A2+7A+2I equals the zero matrix. The direct route is to compute A2 and A3 and substitute.
Let A=102020213.
Compute A2=A⋅A:
A2=102020213102020213=5280408513.
Compute A3=A2⋅A:
A3=5280408513102020213=211234080342355.
Substitute. Also 6A2=3012480240483078, 7A=7014014014721, 2I=200020002.
Then A3−6A2=−90−140−160−14−7−23, and adding 7A gives −2000−2000−2=−2I. Finally adding 2I yields the zero matrix. …
Showing the 12 most recent of 16 on this concept.
- CBSE 2026Set 65/3/11 markMCQQ.If A2=4A+3I and A−1=xA+yI, then the value of (x+y) is: (A) −1 (B) 1 (C) 35 (D) 7
›Reveal solutionSolution
The key idea is to multiply the given matrix equation by A−1 to express A in terms of I, then compare coefficients with the given form of A−1. The value of (x+y) is 35.
Concept & Intuition
When a matrix satisfies a polynomial equation like A2=4A+3I, it means A behaves like a root of that polynomial. We can manipulate this equation algebraically just like we would with numbers — but with matrices, we must be careful about commutativity (here, A commutes with itself and with I, so we're safe).
The trick: if we multiply both sides by A−1 (which exists, as we'll see), we get a linear expression for A in terms of I. Then we can substitute that back into the given form A−1=xA+yI to find x and y.
Step-by-step solution
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Start with the given equation
A2=4A+3I
This is a matrix equation — every term is a 2×2 (or n×n) matrix.
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Multiply both sides by A−1 on the left
Since A−1A=I, we get:
A−1A2=A−1(4A+3I)
⇒(A−1A)A=4A−1A+3A−1I
⇒IA=4I+3A−1
So:
A=4I+3A−1
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Rearrange to express A−1 in terms of A and I
3A−1=A−4I
⇒A−1=31A−34I
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Compare with the given form
We are told A−1=xA+yI.
Matching coefficients:
x=31,
y=−34 …
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- CBSE 2026Set A1 markMCQQ.If A=[1−1−11], then A3=(a) 3A(b) 4A(c) 2A(d) None of these
›Reveal solutionSolution
A2=2A, so A3=2A2=4A.
With A=[1−1−11], first compute A2: …
- CBSE 2026Set ANNUAL1 markMCQQ.If A is an invertible matrix of order 2, then det(A−1) is equal to:(a) det(A)(b) det(A)1(c) 1(d) 0
›Reveal solutionSolution
det(A−1)=detA1.
From AA−1=I, det(A)det(A−1)=det(I)=1, so det(A−1)=det(A)1. (This holds for a …
- CBSE 2026Set ANNUAL1 markQ.Fill in the blank: Unique solution of equation AX=B is given by X= ______, where ∣A∣=0.
›Reveal solutionSolution
The unique solution of AX=B (when ∣A∣e0) is X=A−1B.
…
- CBSE 2026Set ANNUAL1 markMCQQ.If A=[0010], then A2026 is equal to(a) [0010](b) [0020260](c) [0000](d) [2026002026]
›Reveal solutionSolution
A2=O, hence A2026=O (zero matrix).
Compute A2:
A2=[0010][0010]=[0⋅0+1⋅000⋅1+1⋅00]=[0000]=O.
…
- CBSE 2025Set 65/2/11 markMCQQ.If A and B are square matrices of order m such that A2−B2=(A−B)(A+B), then which of the following is always correct? (A) A=B (B) AB=BA (C) A=0 or B=0 (D) A=I or B=I
›Reveal solutionSolution
The given matrix identity A2−B2=(A−B)(A+B) holds true if and only if the matrices A and B commute, meaning AB=BA. The correct option is (B).
Concept and Intuition
In scalar algebra, we are accustomed to the identity a2−b2=(a−b)(a+b). This identity relies on the commutative property of multiplication, where ab=ba. For example, when we expand (a−b)(a+b), we get a2+ab−ba−b2, and since ab=ba, the middle terms cancel out, leaving a2−b2.
However, matrix multiplication is generally not commutative. That is, for two matrices A and B, it is usually the case that AB=BA. This non-commutativity is the crucial difference that this problem tests. If we blindly apply scalar algebra rules to matrices without considering the order of multiplication, we might make an error. The problem statement essentially gives us a condition under which the scalar identity does hold for matrices, and we need to find out what that condition implies about A and B.
Step-by-step Derivation
- Start with the given equation: We are given that A and B are square matrices of order m such that:
A2−B2=(A−B)(A+B)
- Expand the right-hand side carefully: When multiplying matrices, we must maintain the order of multiplication. We distribute (A−B) over (A+B):
(A−B)(A+B)=A(A+B)−B(A+B)
Now, distribute $A$ and $B$ into their respective parentheses:A(A+B)−B(A+B)=A⋅A+A⋅B−B⋅A−B⋅B
This simplifies to:A2+AB−BA−B2
> [!WARNING] > A common mistake is to assume $AB = BA$ from the start, which would incorrectly simplify $AB - BA$ to $0$. Remember that matrix multiplication is not generally commutative.3. Substitute the expanded form back into the original equation:
Now we equate the left-hand side of the given equation with our expanded right-hand side:
A2−B2=A2+AB−BA−B2
- Simplify the equation: We can subtract A2 from both sides of the equation:
−B2=AB−BA−B2
Next, add $B^2$ to both sides:0=AB−BA
Rearranging this equation, we get:AB=BA
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Interpret the result:
The derivation shows that for the identity A2−B2=(A−B)(A+B) to hold true for matrices A and B, it is necessary that AB=BA. This means that matrices A and B must commute.
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Evaluate the given options: …
- CBSE 2025Set 65/4/11 markMCQQ.If A and B are square matrices of same order such that AB=A and BA=B, then A2+B2 is equal to : (A) A+B (B) BA (C) 2(A+B) (D) 2BA
›Reveal solutionSolution
When AB=A and BA=B, the matrices satisfy idempotent-like relations that allow us to express higher powers in terms of the originals; computing A2+B2 using these relations yields A+B.
The key insight here is to use the given relations to simplify powers of A and B. We're told that AB=A and BA=B, which means each matrix "absorbs" the other in a specific order. These relations are our tools to reduce any product back to simpler forms.
Let's compute A2 and B2 separately, then add them.
Finding A2:
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Write A2=A⋅A.
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We need to express this using our given relations. Notice that from AB=A, we can write A=AB.
-
Substitute this into A2:
A2=A⋅A=(AB)⋅A=A(BA)
- But we know BA=B, so:
A2=A(BA)=AB=A
Finding B2:
-
Write B2=B⋅B.
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From BA=B, we have B=BA.
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Substitute:
B2=B⋅B=(BA)⋅B=B(AB)
- Using AB=A: B2=B(AB)=BA=B …
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- CBSE 2025Set ANNUAL1 markMCQQ.If A=[253−2] be such that A−1=kA, then k=(a) 19(b) 191(c) −19(d) −191
›Reveal solutionSolution
Compute |A| and adj(A), form A⁻¹, and compare it entry-by-entry with kA.
A=[253−2], ∣A∣=2(−2)−3(5)=−4−15=−19
adj(A)=[−2−5−32]
…
- CBSE 2024Set 65/1/11 markMCQQ.If A and B are two non-zero square matrices of the same order such that (A+B)2=A2+B2, then: (A) AB=O (B) AB=−BA (C) BA=O (D) AB=BA
›Reveal solutionSolution
The key idea is to expand (A+B)2 and compare it with A2+B2 — the cross terms must cancel, which forces AB=−BA. The correct option is (B).
Concept and Intuition
When you square a sum of matrices, you get the same expansion as with numbers: (A+B)2=A2+AB+BA+B2. The only difference is that matrix multiplication is not commutative — AB and BA are generally different. The given condition says this sum equals A2+B2, so the two middle terms AB and BA must add up to the zero matrix. That means AB+BA=O, which rearranges to AB=−BA. This is the definition of anti-commuting matrices.
Watch outA common mistake is to assume AB=O or BA=O individually. The condition only forces their sum to be zero, not each term separately. For example, if A=(0010) and B=(0100), then AB=O and BA=O, but AB=−BA holds.
Step-by-Step Solution
- Expand the square Since matrix multiplication is distributive, we have:
(A+B)2=(A+B)(A+B)=A2+AB+BA+B2.
This is exactly like the binomial expansion for numbers, but we must keep the order of multiplication.
- Apply the given condition The problem states:
(A+B)2=A2+B2.
Substituting the expansion:
A2+AB+BA+B2=A2+B2.
- Cancel the common terms Subtract A2+B2 from both sides:
AB+BA=O.
- Rearrange to the required form The equation AB+BA=O is equivalent to:
AB=−BA.
This is the defining relation for matrices that anti-commute. …
- CBSE 2024Set D1 markMCQQ.If A=[24−36] then A−1=(a) [416181121](b) [41−6181121](c) [46812](d) [4−6812]
›Reveal solutionSolution
For a 2×2 matrix A−1=detA1[d−c−ba].
Here A=[24−36], so detA=(2)(6)−(−3)(4)=12+12=24.
The adjoint (swap diagonal, negate off-diagonal) is [6−432]. Hence …
- CBSE 2024Set D1 markMCQQ.A=[0110]⇒A5=(a) [0110](b) [0011](c) [0550](d) [1001]
›Reveal solutionSolution
A2=I⇒A5=A.
Compute A2:
A2=[0110][0110]=[1001]=I.
Therefore …
- CBSE 2023Set 65/1/11 markMCQQ.If A=[0−110] and (3I+4A)(3I−4A)=x2I, then the value(s) x is/are : (A) ±7 (B) 0 (C) ±5 (D) 25
›Reveal solutionSolution
The key idea is to treat the matrix expression (3I+4A)(3I−4A) as a polynomial in A, then use the fact that A2=−I to simplify it to a scalar multiple of I. The result is 25I, so x2=25 and x=±5.
We start with the matrix A=[0−110]. Notice that A is a special matrix — it behaves like the imaginary unit i in complex numbers because A2=−I. Let’s verify:
A2=[0−110][0−110]=[−100−1]=−I.
This property is the heart of the problem. When we multiply two linear combinations of I and A, the result will be a combination of I and A again, but because A2=−I, any A2 term collapses back to a multiple of I. So the product (3I+4A)(3I−4A) should simplify to something like (number)I+(number)A. Let’s find out exactly.
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Expand the product carefully — but treat I and A as commuting matrices (they do, since I commutes with everything).
(3I+4A)(3I−4A)=3I⋅3I+3I⋅(−4A)+4A⋅3I+4A⋅(−4A)
=9I2−12IA+12AI−16A2.
Since I2=I, IA=A, and AI=A, the middle terms −12A+12A cancel exactly. So we get:
=9I−16A2.
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Now use A2=−I to replace A2:
9I−16(−I)=9I+16I=25I.
So the product simplifies to 25I, a pure scalar multiple of the identity matrix.
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The problem states that this product equals x2I. Therefore: …
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