Q.Show that if A=(cosθ−sinθsinθcosθ), then An=(cosnθ−sinnθsinnθcosnθ) for every positive integer n.
Concept understanding — Matrix Rotation Power
Matrix Rotation Power
A rotation matrix turns every vector in the plane through a fixed angle. So what happens when you apply it again and again? Applying a rotation of θ twice is just a rotation of 2θ; three times, 3θ; and so on. Matrix power is exactly this idea written algebraically: An means "apply the transformation A a total of n times."
The intuition
Multiplying a vector by a matrix A transforms it once. Multiplying by A again transforms the result once more. Hence
An=n timesA⋅A⋯A,
with the conventions A1=A and A0=I (the identity), just as x0=1 for numbers.
An is not raising each entry to the power n. You must carry out full matrix multiplication. For example, with B=(1011), B2=(1021) — the top-right entry becomes 2, not 12.
The rotation case
The cleanest example is the rotation matrix through angle θ (counterclockwise):
Rθ=(cosθsinθ−sinθcosθ).
Because stacking two rotations adds their angles,
Rθn=Rnθ=(cosnθsinnθ−sinnθcosnθ).
Proving it by induction
This is a classic exam result, proved by mathematical induction on n.
- Base case (n=1): Rθ1=Rθ=R1⋅θ, true.
- Inductive step: assume Rθk=Rkθ. Then
Rθk+1=RθkRθ=RkθRθ.
Multiplying the two matrices and using the addition formulas
coskθcosθ−sinkθsinθ=cos(k+1)θ,sinkθcosθ+coskθsinθ=sin(k+1)θ,
gives Rθk+1=R(k+1)θ. By induction the formula holds for all positive integers n.
This is why a rotation matrix is easy to raise to a high power — you never actually multiply n matrices. You just read off the answer: replace θ by nθ.
Takeaway: An means applying the linear map A repeatedly, done by genuine matrix multiplication. For the rotation matrix this collapses to the neat rule Rθn=Rnθ, which you can establish rigorously by induction using the angle-sum identities.
Searches such as "matrix power rotation matrix proof by induction" and "matrices class 12 important questions" point to this exact result, which builds on the Matrices chapter of the NCERT/CBSE Class 12 Mathematics syllabus alongside the Principle of Mathematical Induction. It is a frequent proof-based question in JEE Main and various engineering entrance exams.
Prove by induction on n using Ak+1=Ak⋅A and the compound-angle identities.
Let P(n):An=(cosnθ−sinnθsinnθcosnθ).
Base: P(1) is just the given A, so it holds.
Step: Assume P(k). Then
Ak+1=AkA=(coskθ−sinkθsinkθcoskθ)(cosθ−sinθsinθcosθ)=(cos(k+1)θ−sin(k+1)θsin(k+1)θcos(k+1)θ),
using cos(kθ+θ) and sin(kθ+θ). So P(k)⇒P(k+1), and by induction P(n) holds for all n.
An=(cosnθ−sinnθsinnθcosnθ) for every positive integer n.
Prove the formula by the principle of mathematical induction on n: verify n=1, assume it for n=k, then derive it for n=k+1 using Ak+1=Ak⋅A.
Let P(n) be the statement
P(n): An=(cosnθ−sinnθsinnθcosnθ).
Step 1 — Base case n=1.
A1=(cosθ−sinθsinθcosθ),
which is exactly P(1). So P(1) is true.
Step 2 — Inductive hypothesis.
Assume P(k) is true for some positive integer k, i.e.
Ak=(coskθ−sinkθsinkθcoskθ).
Step 3 — Inductive step: show P(k+1).
Using Ak+1=Ak⋅A and the hypothesis,
Ak+1=(coskθ−sinkθsinkθcoskθ)(cosθ−sinθsinθcosθ).
Multiplying the matrices entry by entry,
Ak+1=(coskθcosθ−sinkθsinθ−sinkθcosθ−coskθsinθcoskθsinθ+sinkθcosθ−sinkθsinθ+coskθcosθ).
Step 4 — Apply the compound-angle identities.
Using cos(kθ+θ)=coskθcosθ−sinkθsinθ and sin(kθ+θ)=sinkθcosθ+coskθsinθ,
Ak+1=(cos(k+1)θ−sin(k+1)θsin(k+1)θcos(k+1)θ).
This is precisely P(k+1), so P(k) true ⇒P(k+1) true.
Step 5 — Conclude.
Since P(1) holds and P(k)⇒P(k+1), by the principle of mathematical induction P(n) is true for every positive integer n≥1.
An=(cosnθ−sinnθsinnθcosnθ) for all n∈N.
Method: Proving a Matrix-Power Formula by Mathematical Induction
This method applies whenever you must prove a formula for An (a matrix raised to the power n) holds for every positive integer n.
Steps
Step 1: State the statement P(n) to be proved
Write out explicitly what P(n) claims An equals, in terms of n.
Step 2: Verify the base case P(1)
Check that A1=A matches the given matrix A exactly as stated by the formula — this is usually immediate since A1 is just A itself.
Step 3: Assume P(k) (the inductive hypothesis)
Assume the formula holds for some positive integer k; this gives you an explicit matrix expression to use for Ak.
Step 4: Prove P(k+1) using Ak+1=Ak⋅A
Multiply the assumed expression for Ak by A using ordinary matrix multiplication (row-by-column, entry by entry). This produces four trigonometric expressions (one per matrix entry).
Step 5: Simplify with the compound-angle identities
Recognise that each entry matches the expansion of cos(kθ+θ) or sin(kθ+θ), i.e.
cos(A+B)=cosAcosB−sinAsinB,sin(A+B)=sinAcosB+cosAsinB.
Apply these to collapse each entry to cos(k+1)θ or sin(k+1)θ, matching P(k+1).
Step 6: Conclude by the principle of mathematical induction
Since P(1) holds and P(k)⇒P(k+1) for every k, state explicitly that P(n) holds for all positive integers n.
Common Mistakes
Mistake 1: Treating An as entrywise powers
Why it's wrong: An means multiplying the matrix A by itself n times using full matrix multiplication, not raising each individual entry (like cosθ) to the power n. This is a fundamentally different operation and gives a completely wrong result. Correct approach: always compute Ak+1=Ak⋅A using row-by-column matrix multiplication.
Mistake 2: Forgetting to verify the base case
Why it's wrong: The inductive step ("if P(k) then P(k+1)") only chains correctly if there is a confirmed starting point; without checking P(1), the whole induction has no foundation, and technically nothing has been proved. Correct approach: always explicitly verify P(1) (or whatever the smallest case is) before moving to the inductive step.
Mistake 3: Arithmetic slips multiplying the two matrices
Why it's wrong: Expanding Ak⋅A involves four separate dot products of rows and columns; a sign error in one entry (especially with the negative signs already present in the rotation matrix) silently breaks the pattern and makes the compound-angle identity not apply cleanly. Correct approach: compute each of the four entries separately and carefully, tracking signs, before trying to match them to the angle-sum identities.
- CBSE 2024Set 65/2/11 markMCQQ.If F(x)=cosxsinx0−sinxcosx0001 and [F(x)]2=F(kx), then the value of k is: (A) 1 (B) 2 (C) 0 (D) −2
›Reveal solutionSolution
The matrix F(x) represents a rotation by angle x in the xy-plane. Squaring it gives a rotation by 2x, so [F(x)]2=F(2x), meaning k=2.
The core idea here is recognising the structure of the matrix.
F(x) is a rotation matrix in 3D — it rotates points in the xy-plane by angle x, leaving the z-axis unchanged.
When you apply a rotation twice, you rotate by twice the angle. So squaring the matrix should give the matrix for angle 2x.
Let’s verify this algebraically.
- Write down F(x) clearly:
F(x)=cosxsinx0−sinxcosx0001
- Compute [F(x)]2 by multiplying F(x) with itself:
[F(x)]2=F(x)⋅F(x)=cosxsinx0−sinxcosx0001cosxsinx0−sinxcosx0001
- Multiply the top-left entry (row 1, column 1):
(cosx)(cosx)+(−sinx)(sinx)+(0)(0)=cos2x−sin2x=cos2x
- Row 1, column 2:
(cosx)(−sinx)+(−sinx)(cosx)+(0)(0)=−cosxsinx−sinxcosx=−2sinxcosx=−sin2x
-
Row 1, column 3: all zeros, so 0.
-
Row 2, column 1:
(sinx)(cosx)+(cosx)(sinx)+(0)(0)=sinxcosx+cosxsinx=2sinxcosx=sin2x
- Row 2, column 2:
(sinx)(−sinx)+(cosx)(cosx)+(0)(0)=−sin2x+cos2x=cos2x
-
Row 2, column 3: 0.
-
Row 3: all entries are (0,0,1) unchanged, since the third row and column only interact with the z-axis.
So we get:
[F(x)]2=cos2xsin2x0−sin2xcos2x0001
This is exactly F(2x).
Watch outA common mistake is to think squaring the matrix squares the angle, like F(x)2=F(x2). That’s not how rotation works — composition of rotations adds the angles, not multiplies them.
Therefore, [F(x)]2=F(kx) implies k=2.
✓Final answerThe value of k is 2, which corresponds to option (B).
- CBSE 2022Set ANNUAL1 markMCQQ.X=[0110]⇒X8=(a) [0110](b) [0011](c) [0880](d) [1001]
›Reveal solutionSolution
Since X2=I, all even powers of X equal I, so X8=I.
X=[0110].
X2=[0110][0110]=[1001]=I.
Therefore X8=(X2)4=I4=I.
✓Final answer(d) [1001].
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