MHBCalculate A^17: Powers of Matrices

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Discussion Overview

The discussion revolves around calculating the matrix power $$A^{17}$$ for a specific matrix structure, exploring patterns and properties of matrix powers, particularly in the context of upper triangular matrices and Jordan blocks. The conversation includes theoretical considerations and mathematical reasoning.

Discussion Character

  • Exploratory
  • Technical explanation
  • Mathematical reasoning

Main Points Raised

  • One participant notes that in the matrix $$A^{17}$$, the entries where there are 6's will be $$6^{17}$$, while expressing uncertainty about the pattern in the right side of the triangle, suggesting the left will be zero.
  • Another participant suggests that the Cayley-Hamilton theorem might be useful for the calculation.
  • A later post presents a specific form of the matrix and calculates $$A^{17}$$, indicating it results in an upper triangular matrix with specific entries involving powers of $$a$$ and coefficients related to the position in the matrix.
  • Further exploration discusses the general form of a Jordan block and how to express its powers using the binomial theorem, detailing the nilpotent structure and its implications for the matrix powers.

Areas of Agreement / Disagreement

Participants express various approaches and calculations regarding the matrix power, but there is no consensus on a single method or result. Multiple competing views and methods remain present in the discussion.

Contextual Notes

The discussion includes assumptions about the structure of the matrix and the properties of nilpotent matrices, but these assumptions are not universally agreed upon or fully explored.

Petrus
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Hello MHB,
Calculate $$A^{17}$$ where
f3c5619c04a59ddc1718baa948968b1.png
.

Progress,
I have multiplicate without adding them together to see a pattern and I can se at $$A^{17}$$ on that matrice where it's 6's it will be $$6^{17}$$ and rest I can't se any pattern those riight side of the triangle, cause the left will be zero

Regards,
 
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Petrus said:
Hello MHB,
Calculate $$A^{17}$$ where
f3c5619c04a59ddc1718baa948968b1.png
.

Progress,
I have multiplicate without adding them together to see a pattern and I can se at $$A^{17}$$ on that matrice where it's 6's it will be $$6^{17}$$ and rest I can't se any pattern those riight side of the triangle, cause the left will be zero

Regards,

Cayley Hamilton theorem might be useful. Cayley
 
A little exploration shows:

If A = \left( \begin{array}{ccc}<br /> a &amp; 1 &amp; 0 \\<br /> 0 &amp; a &amp; 1 \\<br /> 0 &amp; 0 &amp; a \end{array} \right)

Then A^{17} = \left( \begin{array}{ccc}<br /> a^{17} &amp; 17a^{16} &amp; 8\cdot 17\cdot a^{15} \\<br /> 0 &amp; a^{17} &amp; 17a^{16} \\<br /> 0 &amp; 0 &amp; a^{17} \end{array} \right)

Upper triangular with only '1' off the diagonal? That HAS to be rather tractable.
 
In general, if we have a Jordan block $J(\lambda)$ of order $n$ we can express $$J(\lambda)=\begin{bmatrix} \lambda & 1 & 0 &\ldots & 0 & 0 & 0\\ 0 & \lambda & 1 &\ldots & 0&0&0 \\0 & 0 & \lambda &\ldots & 0&0&0 \\\vdots&&&&&&\vdots \\ 0 &0 & 0 &\ldots & \lambda & 1&0\\0 &0 &0 &\ldots &0&\lambda & 1\\0 & 0 &0&\ldots & 0&0&\lambda\end{bmatrix}=\lambda I+N$$ where $N$ is nilpotent of order $n$. As $(\lambda I_n)N=N(\lambda I_n)$, we can apply the binomial theorem $$J(\lambda)^m=(\lambda I+N)^m=(\lambda I)^{m}+\binom{m}{1}(\lambda I)^{m-1}N+\binom{m}{2}(\lambda I)^{m-2}N^2+\ldots\\=\lambda^mI+m\lambda^{m-1} N+\frac{m(m-1)}{2}\lambda^{m-2}N^2+\ldots$$ If $n=3$, $N$ is nilpotent of order $2$: $$N=\begin{bmatrix}{0}&{1}&{0}\\{0}&{0}&{1}\\{0}&{0}&{0}\end{bmatrix},N^2=\begin{bmatrix}{0}&{0}&{1}\\{0}&{0}&{0}\\{0}&{0}&{0}\end{bmatrix},N^3=0$$ $$J(\lambda)^m=\lambda^mI+m\lambda^{m-1} N+\frac{m(m-1)}{2}\lambda^{m-2}N^2$$ $$\begin{bmatrix}{\lambda}&{1}&{0}\\{0}&{\lambda}&{1}\\{0}&{0}&{\lambda}\end{bmatrix}^m=\lambda^m \begin{bmatrix}{1}&{0}&{0}\\{0}&{1}&{0}\\{0}&{0}&{1}\end{bmatrix}+m\lambda^{m-1}\begin{bmatrix}{0}&{1}&{0}\\{0}&{0}&{1}\\{0}&{0}&{0}\end{bmatrix}+\frac{m(m-1)}{2}\lambda^{m-2}\begin{bmatrix}{0}&{0}&{1}\\{0}&{0}&{0}\\{0}&{0}&{0}\end{bmatrix}$$ $$=\begin{bmatrix}{\lambda^m}&{m\lambda^{m-1}}&{\frac{m(m-1)}{2}}\lambda^{m-2}\\{0}&{\lambda^m}&{m\lambda^{m-1}}\\{0}&{0}&{\lambda^m}\end{bmatrix}$$
 

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