Power of a Diagonalized Matrix?

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Homework Help Overview

The discussion revolves around a problem from Mary Boas' "Mathematical Methods in the Physical Sciences," specifically regarding the properties of diagonal matrices and their powers. Participants are tasked with demonstrating that if \(D\) is a diagonal matrix, then \(D^{n}\) is also a diagonal matrix with elements equal to the \(n\)th power of the elements of \(D\).

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning, Problem interpretation, Assumption checking

Approaches and Questions Raised

  • Participants discuss various approaches to proving the property of diagonal matrices, including using trace properties and matrix multiplication. Some suggest using index notation and induction, while others express uncertainty about how to generalize the proof for arbitrary powers.

Discussion Status

The discussion is ongoing, with participants sharing their thoughts and attempts at formulating a proof. Some have provided hints and suggestions for different approaches, while others are exploring the implications of matrix properties like trace and determinant. There is no explicit consensus yet, but several productive lines of reasoning are being explored.

Contextual Notes

Participants note their struggles with formal notation and the complexity of summation in matrix operations. There is a recognition of the need for practice and exercises to build confidence in handling such mathematical concepts.

  • #31
Yes, I see. The sum is gone altogether, so $$ { \left[ { { A }^{ 2 } } \right] }_{ ij }={ A }_{ ii }{ A }_{ ii }\quad When\quad i=j,\quad and\quad { \left[ { { A }^{ 2 } } \right] }_{ ij }=0\quad when\quad i\neq j $$.

Chris
 
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  • #32
kq6up said:
Yes, I see. The sum is gone altogether, so $$ { \left[ { { A }^{ 2 } } \right] }_{ ij }={ A }_{ ii }{ A }_{ ii }\quad When\quad i=j,\quad and\quad { \left[ { { A }^{ 2 } } \right] }_{ ij }=0\quad when\quad i\neq j $$.

Chris

That's it! The nth power goes exactly the same way. There is at most one nonzero term in that big summation.
 
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