Why Is the Index Shifted in Laplacian Eigenvalues?

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Discussion Overview

The discussion revolves around the relationship between the eigenvalues of the Laplacian of a graph and its complement, specifically addressing the indexing of these eigenvalues and the implications of their ordering. The scope includes mathematical reasoning and technical explanation related to graph theory and eigenvalue problems.

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • One participant, Josh, expresses confusion regarding the relationship between the eigenvalues of the Laplacian of a graph and its complement, particularly the indexing of these eigenvalues.
  • Another participant suggests that the discrepancy arises from the author ordering the eigenvalues in non-decreasing order, which affects the indexing.
  • It is noted that for the Laplacian of the complement graph, the eigenvalues can be expressed as ##n - \lambda_i## for ##i \geq 2##, leading to a different indexing than initially expected.
  • A further clarification is provided that the eigenvalues of the Laplacian of the original graph are ordered as ##0=\lambda_1\le \lambda_2\le \lambda_3 \le \ldots \le \lambda_n##, while those of the complement graph are ##0, n-\lambda_1, n-\lambda_2, \ldots, n-\lambda_n##.
  • It is emphasized that the ordering of eigenvalues is crucial for understanding the indexing and that all eigenvalues of a Laplacian are non-negative, which maintains the order.

Areas of Agreement / Disagreement

Participants generally agree on the mathematical relationships discussed, but there is some confusion regarding the implications of the ordering of eigenvalues and how it affects indexing. The discussion remains partially unresolved as participants seek further clarification on the implications of this ordering.

Contextual Notes

The discussion highlights the importance of the ordering of eigenvalues in understanding their relationships, but does not resolve the potential implications of this ordering on the interpretation of results.

member 428835
hi pf!

I am reading a text and am stuck at a part. this is what is being said:

If ##g## is a graph we have ##L(g) + L(\bar{g}) = nI - J## where ##J## is the matrix of ones. Let ##f^1,...f^n## be an orthogonal system of eigenvectors to ##L(g) : f^1 = \mathbb{1}## and ##L(g)f^i = \lambda_i f^i##. Evidently ##L(g) + L(\bar{g}) = nI - J## implies ##L(\bar{g}) f^1 = 0##.

Now for ##2 \leq i \leq n## we have ##L(\bar{g}) f^i = (n-\lambda_i)f^i##

The text continues by saying ##\lambda_1(\bar{g}) = 0##

Thus we have that ##\lambda_i(\bar{g}) = n - \lambda_{n-i+2}(g) : i \geq 2##. This is the part I don't understand. If eigenvalues of ##L(g)## are eigenvalues to ##L(\bar{g})## then I see that ##\lambda_i (\bar{g})f^i = (n-\lambda_i)f^i \implies \lambda_i (\bar{g}) = n-\lambda_i(g)## but the index is now wrong...please help me out!

Thanks so much!

Josh
 
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Can anyone help me out? Am I in the wrong section?
 
That is because the author puts eigenvalues in the increasing (non-decreasing, to be precise) order. You are correct that ##L(\overline g) f^i = (n-\lambda_i) f^i## for ##i\ge2##, so ##n-\lambda_i##, ##i\ge 2## are eigenvectors of ##L(\overline g)##. Putting them into non-decreasing order you get exactly the formula you quoted.
 
Hawkeye18 said:
That is because the author puts eigenvalues in the increasing (non-decreasing, to be precise) order. You are correct that ##L(\overline g) f^i = (n-\lambda_i) f^i## for ##i\ge2##, so ##n-\lambda_i##, ##i\ge 2## are eigenvectors of ##L(\overline g)##. Putting them into non-decreasing order you get exactly the formula you quoted.
Could you elaborate a little? I'm a little confused on what you mean by "putting" them in non-decreasing order.
 
The eigenvalues of ##L(g)## are ##0=\lambda_1\le \lambda_2\le\lambda_3 \le \ldots \le \lambda_n##. The eigenvalues of ##L(\overline g)## are ##0, n-\lambda_1, n-\lambda_2, \ldots, n-\lambda_n##. From the above inequalities for ##\lambda_i## we can write ##n-\lambda_n\le n-\lambda_{n-1}\le\ldots\le n-\lambda_2##. A Laplacian is always positive semidefinite, so all eigenvalues are non-negative. So, ##0=\lambda_1\le n-\lambda_n\le n-\lambda_{n-1}\le\ldots\le n-\lambda_2## gives us all eigenvalues of ##L(\overline g)## in non-decreasing order. And by ##\lambda_k(\overline g)## the author means item # ##k## on this list.
 
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Thanks so much! I really appreciate this Hawkeye!
 

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