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.
- AP EAPCET 2021Set eng-2021-08-24-FN1 markMCQQ.If ω is a complex cube root of unity and A=[ω00ω] then A50= (A) ω2A (B) ωA (C) A (D) 0
›Reveal solutionSolution
Since A=ωI, A50=ω50I=ω2I (using ω3=1), and this equals ωA.
Concept and Intuition
When a matrix is a scalar multiple of the identity (A=cI), all its powers are trivial to compute: An=cnI, since I commutes with everything and In=I. Combined with the defining property of a cube root of unity (ω3=1), high powers of ω reduce modulo 3.
Step-by-Step Solution
- A=[ω00ω]=ω[1001]=ωI.
- Since A=ωI, powers of A are An=(ωI)n=ωnI.
- So A50=ω50I.
- Reduce the exponent using ω3=1: 50=3×16+2, so ω50=(ω3)16⋅ω2=116⋅ω2=ω2.
- Therefore A50=ω2I.
- Now express this in terms of A=ωI: ωA=ω⋅ωI=ω2I. This exactly matches A50.
- Checking option (A), ω2A=ω2⋅ωI=ω3I=I, which is not equal to ω2I (unless ω2=1, false for a primitive cube root) — so (A) is wrong, confirming (B) is correct.
Common Mistakes
- Forgetting to reduce the exponent 50 modulo 3 and instead assuming A50=A2 or some other arbitrary power.
- Mixing up which of ωA or ω2A equals ω2I — direct substitution avoids this.
✓Final answerThe correct option is (B) — ωA.
ANSWER: B
- AP EAPCET 2021Set eng-2021-10-05-FN1 markMCQQ.If A=100110111, B=223−1223+1022−(3+1)223−10001 then (BBTAT)10= (A) 1001010010101 (B) 1001010055101 (C) 100101055101 (D) 10010105511
›Reveal solutionSolution
B is a rotation matrix so BBT=I, collapsing the expression to a power of A; expanding A=I+N (with nilpotent N) via the binomial theorem gives the matrix in option (C).
Concept and Intuition
The 2×2 block of B has the classic form [cosθsinθ−sinθcosθ] with θ=75∘ — a rotation, hence orthogonal (BBT=I). This immediately removes B from the problem, leaving only a power of the simple upper-triangular matrix A, which is best computed by splitting A into identity plus a nilpotent part (since strictly-upper-triangular matrices raised to a high enough power vanish), turning matrix exponentiation into a short binomial expansion.
Step-by-Step Solution
- Verify B is a rotation: with c=cos75∘=46−2=223−1 and s=sin75∘=46+2=223+1, the block is [cs−sc], and rows are orthonormal (c2+s2=1), so BBT=I (3×3, including the trivial third row/column).
- This reduces the target expression to a pure power of A.
- Write A=I+N where N=000100110. Compute N2=000000100 and N3=0.
- Binomial expansion (valid since I,N commute): A10=I+10N+(210)N2=I+10N+45N2.
- Assemble: entry (1,2)=10, (1,3)=10+45=55, (2,3)=10, diagonal =1, giving 100101055101.
Common Mistakes
- Trying to multiply A by itself ten times directly instead of exploiting the nilpotent decomposition — far more error-prone.
- Missing that BBT=I and instead trying to compute powers of B unnecessarily.
✓Final answerThe correct option is (C) — 100101055101.
ANSWER: C
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