Linear Algebra Problem #3: Proving S^n=0 for Strictly Upper Triangular Matrix

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Homework Help Overview

The discussion revolves around proving that for any nxn strictly upper triangular matrix S, the expression S^n equals zero. Participants are exploring the properties of strictly upper triangular matrices within the context of linear algebra.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Some participants discuss the intuitive understanding of why S^n equals zero, suggesting that repeated multiplication leads to a retreat of non-zero entries. Others are attempting to formalize this understanding using matrix entry notation and nested summation series.

Discussion Status

The conversation is active, with participants sharing their thoughts on the problem and exploring various lines of reasoning. Some have offered insights into the eigenvalue perspective, while others are grappling with the formal proof structure. There is no explicit consensus yet, but multiple interpretations and approaches are being considered.

Contextual Notes

Participants note challenges in formalizing their understanding into a proof, particularly with respect to matrix notation and the conditions for non-zero entries in the product of matrices. There is also a reference to the problem being associated with another participant, indicating a collaborative exploration of the topic.

Saladsamurai
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Here we go again.:redface:

Homework Statement



Let S be any nxn strictly upper triangular matrix; prove that [tex]S^n=0[/tex]

The Attempt at a Solution



Alright so I know that if c_ij is an entry in a strictly upper triangular matrix, then [tex]c_{ij}= 0, \ i>j[/tex]

I'll add more in a minute:smile:
 
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Is this another one of those questions where you understand exactly why it's true, but can't phrase it in the form of a proof? Because it is pretty obvious why it's true. Just write down a strictly upper triangular matrix and start taking powers of it. See what happens??
 
I think the problem is with formalising it into matrix entry subscript notation. I can see why it holds: Over time throughout repeated multiplication the non-zero entries of the matrix retreats into the top right hand corner and then finally becomes zero.

I've written out the matrix entries for an arbitrary c_{ij} after multiplying matrices by 3 times and I'm beginning to see nested summation series which I can't quite simplify.

PS. I know this is Saladsamurai's problem and not mine, but I'm curious as to how to prove it formally.
 
[tex](c^n)_{ij}=c_{i,k_1}*c_{k_1,k_2}*c_{k_2,k_3}*...c_{k_{n-2},k_{n-1}}*c_{k_{n-1},j}[/tex]. All of the k indices summed over. What condition must be true for that to be nonzero? Hey, what ever happened to your electric flux problem? It's not THAT hard.
 
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Alternatively, note that the only eigenvalue is 0. Thinking of this matrix as an operator on an n-dimensional vector space V, we must have V = dim null S^(dim V) = dim null S^n, the set of all generalized eigenvectors. So S^n = 0.
 

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