Do you know its property ?-13

Algebra Level 4

Let A = ( 4 1 9 2 ) . A=\begin{pmatrix} 4 & 1 \\ -9 &-2 \end{pmatrix}. If A 100 A^{100} can be represented as A 100 = ( a b c d ) , A^{100}=\begin{pmatrix} a & b \\ c & d \end{pmatrix}, what is the value of a + b + c + d ? a+b+c+d?


You can try more such problems of the set Do you know its property? .


The answer is -798.

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3 solutions

Sandeep Bhardwaj
Dec 31, 2014

Given : A = ( 4 1 9 2 ) = ( 1 + 3 1 9 1 3 ) = ( 1 0 0 1 ) + ( 3 1 9 3 ) = I + B A=\begin{pmatrix} 4 & 1 \\ -9 & -2 \end{pmatrix}=\begin{pmatrix} 1+3 & 1 \\ -9 & 1-3 \end{pmatrix}=\begin{pmatrix} 1 & 0 \\ 0 & 1 \end{pmatrix} + \begin{pmatrix} 3 & 1 \\ -9 & -3 \end{pmatrix}=I + B

I is the identity or unit matrix and lets me assume that ( 3 1 9 3 ) = B \begin{pmatrix} 3 & 1 \\ -9 & -3 \end{pmatrix}=B

Now B 2 = ( 3 1 9 3 ) × ( 3 1 9 3 ) = ( 0 0 0 0 ) B^2=\begin{pmatrix} 3 & 1 \\ -9 & -3 \end{pmatrix} \times \begin{pmatrix} 3 & 1 \\ -9 & -3 \end{pmatrix}=\begin{pmatrix} 0 & 0 \\ 0 & 0 \end{pmatrix}

As I and B commute - unit matrix commutes with any matrix .

So using binomial expansion, we can write A 100 = ( I + B ) 100 A^{100}=\left( I +B \right)^{100}

A 100 = I + 100 C 1 . B + 100 C 2 . B 2 + . . . . + 100 C 100 . B 100 \implies A^{100}=I+ ^{100}C_1.B + ^{100}C_2.B^2+....+^{100}C_{100}.B^{100}

But B k = 0 , k 2 B^k=0, \forall k \geq 2 . So the above reduces to

A 100 = I + 100. B A^{100}=I+100.B

= ( 0 0 0 0 ) + 100. ( 3 1 9 3 ) \quad \quad =\begin{pmatrix} 0 & 0 \\ 0 & 0 \end{pmatrix}+100.\begin{pmatrix} 3 & 1 \\ -9 & -3 \end{pmatrix}

= ( 301 100 900 299 ) \quad \quad =\begin{pmatrix} 301 & 100 \\ -900 & -299 \end{pmatrix}

R e q u i r e d = 301 + 100 900 299 = 798 \implies Required=301+100-900-299=\boxed{-798}

where n C r = n ! r ! × ( n r ) ! ^nC_r=\dfrac{n!}{r! \times (n-r)!}

enjoy

What if B had not been nilpotent?

Pranjal Jain - 6 years, 5 months ago

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The Jordan matrix is not nilpotent, but it can be expressed as λ I n + B n \lambda {I}_{n} + {B}_{n} , where I I is the identity matrix and B B is the shift matrix. The shift matrix is a nilpotent matrix by definition.

Steven Zheng - 6 years, 5 months ago

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Are you talking about Cayley Hamilton? Oh yes! It works! Thanks!

Pranjal Jain - 6 years, 5 months ago

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@Pranjal Jain I see you are a nice writer! Downloaded all of your books! Gonna spend this cold night reading them! Keep it up! Can you write some wikis here on Brilliant?

Pranjal Jain - 6 years, 5 months ago

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@Pranjal Jain When I have time. I am pretty busy with school and educational activities (i.e. teaching, organizing competitions and events).

Steven Zheng - 6 years, 5 months ago

Nice Problem ! But Can You please Explain How Can we Use Binomial Expansion For Matrix ? Since Matrix is an Representation !

So How Can we Prove This rigorously ? thanks !

Deepanshu Gupta - 6 years, 5 months ago

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Binomial expansion can be applied to matrices A , B A,B for any natural no. n n , if A a n d B A \ and \ B commute i.e. A B = B A AB=BA . I think It can be proved using Principle of mathematical induction. have a look at that. @Deepanshu Gupta

Sandeep Bhardwaj - 6 years, 5 months ago

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Nice solution! With Cayley Hamilton it was pretty long

Rajorshi Chaudhuri - 6 years, 5 months ago

I think any differentiable function applies! You can even Taylor expand a matrix .

Steven Zheng - 6 years, 5 months ago

I see you used the nilpotence of B B . I wrote about the general explanation here .

Steven Zheng - 6 years, 5 months ago

Great solution! I did it the same way.

Melissa Quail - 6 years, 5 months ago

Thanks for this nice concept bro ..

Satyam Tripathi - 4 years, 7 months ago
Sujoy Roy
Dec 31, 2014

A = ( 4 1 9 2 ) A=\begin{pmatrix} 4 & 1 \\ -9 & -2 \end{pmatrix} .

A 2 = ( 7 2 18 5 ) A^2=\begin{pmatrix} 7 & 2 \\ -18 & -5 \end{pmatrix} .

Now, using Induction we can prove that,

A n = ( 3 n + 1 n 9 n 3 n + 1 ) A^n=\begin{pmatrix} 3n+1 & n \\ -9n & -3n+1 \end{pmatrix} .

Now, A 100 = ( 301 100 900 299 ) A^{100}=\begin{pmatrix} 301 & 100 \\ -900 & -299 \end{pmatrix} .

So, a + b + c + d = 798 a+b+c+d=\boxed{-798}

Same as I did!

Pranjal Jain - 6 years, 5 months ago
Steven Zheng
Dec 31, 2014

The general procedure for taking any matrix power is to find a similar matrix into the form P 1 D P {P}^{-1}DP , where D D is the diagonal matrix. However, this matrix cannot be diagonalized due to the repeated eigenvalue λ = 1 \lambda =1 . Thus we must find the similar matrix in the Jordan form .

Here we get A = ( 1 1 / 3 3 0 ) ( 1 1 0 1 ) ( 0 1 / 3 3 1 ) A= \begin{pmatrix} -1 & -1/3 \\ 3 & 0 \end{pmatrix} \begin{pmatrix} 1& 1 \\ 0 & 1 \end{pmatrix} \begin{pmatrix} 0& 1/3 \\ -3 & -1 \end{pmatrix}

hence

A 100 = ( 1 1 / 3 3 0 ) ( 1 1 0 1 ) 100 ( 0 1 / 3 3 1 ) {A}^{100}= \begin{pmatrix} -1 & -1/3 \\ 3 & 0 \end{pmatrix} {\begin{pmatrix} 1& 1 \\ 0 & 1 \end{pmatrix}}^{100} \begin{pmatrix} 0& 1/3 \\ -3 & -1 \end{pmatrix}

What is cool about the middle matrix is the property ( 1 1 0 1 ) n = ( 1 n 0 1 ) {\begin{pmatrix} 1& 1 \\ 0 & 1 \end{pmatrix}}^{n} = \begin{pmatrix} 1& n \\ 0 & 1 \end{pmatrix}

We multiply back the matrix and get A 100 = ( 301 100 900 299 ) {A}^{100}= \begin{pmatrix} 301 & 100 \\ -900 & -299 \end{pmatrix}

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