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

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For any n x n strictly upper triangular matrix S, it can be proven that S^n = 0. The reasoning is based on the observation that as powers of S are taken, the non-zero entries progressively move towards the top right corner of the matrix, eventually resulting in a zero matrix. The formal proof involves analyzing the matrix entries and recognizing that the only eigenvalue of S is 0. This leads to the conclusion that the dimension of the null space of S^n equals the dimension of the vector space, confirming that S^n must equal zero. Thus, the property holds true for strictly upper triangular matrices.
Saladsamurai
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Here we go again.:redface:

Homework Statement



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

The Attempt at a Solution



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

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.
 
(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}. 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.
 
Question: A clock's minute hand has length 4 and its hour hand has length 3. What is the distance between the tips at the moment when it is increasing most rapidly?(Putnam Exam Question) Answer: Making assumption that both the hands moves at constant angular velocities, the answer is ## \sqrt{7} .## But don't you think this assumption is somewhat doubtful and wrong?

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