Animated Solution for Mathematics - Matrices and Determinants: Let A=[210−21] and P=[cosθsinθ−sinθcosθ], θ>0. If B=PAPT, C=PTB10P and the sum of the diagonal elements of C is nm where gcd(m,n)=1, then m+n is:
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Visualized Solution
Introduction to Matrices A and P
Given matrices: A=[210−21] and P=[cosθsinθ−sinθcosθ]
Objective: Find the sum of diagonal elements (Trace) of matrix C where C=PTB10P and B=PAPT.
Identifying the Orthogonal Nature of P
Matrix P is a standard rotation matrix, which is orthogonal.
Property of orthogonal matrices: PPT=PTP=I, where I is the identity matrix.
Analyzing the Matrix B
Given the relation: B=PAPT
To find B10, let's first calculate B2 to observe the pattern.
Calculating B2
B2=(PAPT)(PAPT)
Using matrix associativity: B2=PA(PTP)APT
Since PTP=I: B2=PA(I)APT=PA2PT
Generalizing to B10
By mathematical induction, for any positive integer k: Bk=PAkPT
Therefore, for k=10: B10=PA10PT
Substituting B10 into Matrix C
Given the equation for C: C=PTB10P
Substitute the expression for B10: C=PT(PA10PT)P
Simplifying Matrix C
Regroup the terms: C=(PTP)A10(PTP)
Substitute PTP=I: C=IA10I
Thus, the matrix simplifies to: C=A10
Eigenvalues of Matrix A
Matrix A=[210−21] is an upper triangular matrix.
The eigenvalues of an upper triangular matrix are its diagonal elements.
Eigenvalues of A: λ1=21 and λ2=1.
Eigenvalues of A10
Property: If λ is an eigenvalue of A, then λk is an eigenvalue of Ak.
Eigenvalues of A10 are: (21)10 and 110.
Calculating the Trace of C
The sum of diagonal elements of C is its Trace, which equals the sum of its eigenvalues.
Trace(C) = Trace(A10) = (21)10+110
Calculation: 251+1=321+1=3233
Finding m+n
We are given that the sum is nm=3233
Since gcd(33,32)=1, we have m=33 and n=32.
Final calculation: m+n=33+32=65
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The Sigma Insight: Algebraic Operations on Matrices
Analyzing the Setup
Imagine you are a conductor of an orchestra, and the matrices A and P are your instruments. At first glance, the expression C=PTB10P with B=PAPT looks like a chaotic, complex sequence of transformations.
In the world of linear algebra, there is a hidden rhythm, a beautiful symmetry waiting to be uncovered. Let us embark on this journey together.
The Orthogonal Key
First, look at matrix P=[cosθsinθ−sinθcosθ]. This is not just any matrix; it is a rotation matrix.
Its most profound property is that it is orthogonal, meaning PTP=I. This is our golden ticket.
Whenever you see a matrix sandwiched between its transpose and itself, like PT…P, think of it as a simplification waiting to happen.
The Power Chain
We are given B=PAPT. We need to find B10. If we try to compute B10 directly, we will be lost in a sea of indices.
Instead, let us look at the pattern. B2=(PAPT)(PAPT). Because of matrix associativity, this becomes PA(PTP)APT.
Since PTP=I, this simplifies to PA2PT. If we continue this, B3=PA3PT, and by induction:
B10=PA10PT
We have successfully tamed the beast!
The Simplification
Now, let us look at C=PTB10P. Substituting our expression for B10, we get C=PT(PA10PT)P.
Regrouping the terms, we see C=(PTP)A10(PTP). Since PTP=I, the entire expression collapses into:
C=A10
The scary-looking matrix C is just A10 in disguise.
The Eigenvalue Shortcut
Now, we need the sum of the diagonal elements of C, which is the trace of A10. Do not reach for your pen to multiply A ten times!
Matrix A=[210−21] is an upper triangular matrix. The eigenvalues of an upper triangular matrix are simply its diagonal elements: