Largest eigenvalue of the Laplacian Matrix in an odd cycleLargest eigenvalue, semidefinite programmingMaximum eigenvalue and a corresponding eigenvector of an infinite Hilbert matrixProve that the largest singular value of a matrix is greater than the largest eigenvalueConditions to preserve Laplacian matrixeigenvalue problem of a simple circulant matrixadjacency matrix, maximal eigenvalueConjecture regarding second smallest eigenvalue of a Laplacian matrixMaximizing the smallest positive eigenvalue of the Laplacian matrix via SDPLower-bound on the size of the largest eigenvalues of the laplacian matrix in random graphsWhy is the largest eigenvalue of a laplacian matrix equal to the number of nodes in the graph?
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Largest eigenvalue of the Laplacian Matrix in an odd cycle
Largest eigenvalue, semidefinite programmingMaximum eigenvalue and a corresponding eigenvector of an infinite Hilbert matrixProve that the largest singular value of a matrix is greater than the largest eigenvalueConditions to preserve Laplacian matrixeigenvalue problem of a simple circulant matrixadjacency matrix, maximal eigenvalueConjecture regarding second smallest eigenvalue of a Laplacian matrixMaximizing the smallest positive eigenvalue of the Laplacian matrix via SDPLower-bound on the size of the largest eigenvalues of the laplacian matrix in random graphsWhy is the largest eigenvalue of a laplacian matrix equal to the number of nodes in the graph?
$begingroup$
Problem:
We have an odd cycle, $C_2n+1$, for $n geq 1$, and the edges $e in E $ have all one weights $w in 1^E$.
Question: Denote the largest eigenvalue of the Laplacian matrix of this graph as $lambda_max(L_w)$. What is the value of $lambda_max(L_w)$?
My attempt:
The Laplacian Matrix will look like:
$$ L_w = beginbmatrix2 & -1 & 0 & 0 & ldots & -1 \
-1 & 2 & -1 & 0 & ldots & 0 \
0 & -1 & 2 & -1 & ldots & 0 \ vdots &vdots & vdots &vdots &vdots & vdots endbmatrix $$
And I think to solve eigenvalue problem, we need to consider $det(L_w - lambda I) =0$, take the characteristic function and then somehow we should conclude that the max value is a function of $n$ including $cos()$ operator.
I also think cofactor expansion can be a potential direction. Here on Chapter 3.2 there is an example, but that is on Paths and does the calculations for the adjacency matrix. I need to find the exact solution of the Laplacian form's maximum eigenvalue (because I will use it to find the result of the semidefinite program of MAX-CUT problem reduced to vertex-transitive graphs).
linear-algebra graph-theory eigenvalues-eigenvectors characteristic-functions graph-laplacian
$endgroup$
add a comment |
$begingroup$
Problem:
We have an odd cycle, $C_2n+1$, for $n geq 1$, and the edges $e in E $ have all one weights $w in 1^E$.
Question: Denote the largest eigenvalue of the Laplacian matrix of this graph as $lambda_max(L_w)$. What is the value of $lambda_max(L_w)$?
My attempt:
The Laplacian Matrix will look like:
$$ L_w = beginbmatrix2 & -1 & 0 & 0 & ldots & -1 \
-1 & 2 & -1 & 0 & ldots & 0 \
0 & -1 & 2 & -1 & ldots & 0 \ vdots &vdots & vdots &vdots &vdots & vdots endbmatrix $$
And I think to solve eigenvalue problem, we need to consider $det(L_w - lambda I) =0$, take the characteristic function and then somehow we should conclude that the max value is a function of $n$ including $cos()$ operator.
I also think cofactor expansion can be a potential direction. Here on Chapter 3.2 there is an example, but that is on Paths and does the calculations for the adjacency matrix. I need to find the exact solution of the Laplacian form's maximum eigenvalue (because I will use it to find the result of the semidefinite program of MAX-CUT problem reduced to vertex-transitive graphs).
linear-algebra graph-theory eigenvalues-eigenvectors characteristic-functions graph-laplacian
$endgroup$
1
$begingroup$
For a cycle graph on $n$ vertices, $L$ is a circulant matrix, so we know all its eigenvalues and eigenvectors. (And the proof is as easy as observing that every vector of the form $beginbmatrix1 & omega^k & omega^2k & cdots & omega^n - 1endbmatrix^T$, where $omega = expleft(frac2pi inright)$, is an eigenvector).
$endgroup$
– M. Vinay
Mar 29 at 1:38
1
$begingroup$
For a cycle on $2n + 1$ vertices, we therefore have $$lambda_max = max_k (2 - omega^k - omega^-k) = max_k 2(1 - operatornameRe omega^k) = max_k 2left(1 - cos dfrac2kpi i2n + 1 right)$$ (in which $k$ runs from $0$ to $2n$).
$endgroup$
– M. Vinay
Mar 29 at 1:52
$begingroup$
Thank you so much. Now it is a bit clearer. Can you also derive the largest eigenvalue? I want to tick your answer :)
$endgroup$
– independentvariable
Mar 29 at 1:52
$begingroup$
I think you already editted. Thanks!!
$endgroup$
– independentvariable
Mar 29 at 1:53
$begingroup$
That $i$ shouldn't be there. Anyway, I'm typing it up as a complete answer now.
$endgroup$
– M. Vinay
Mar 29 at 2:17
add a comment |
$begingroup$
Problem:
We have an odd cycle, $C_2n+1$, for $n geq 1$, and the edges $e in E $ have all one weights $w in 1^E$.
Question: Denote the largest eigenvalue of the Laplacian matrix of this graph as $lambda_max(L_w)$. What is the value of $lambda_max(L_w)$?
My attempt:
The Laplacian Matrix will look like:
$$ L_w = beginbmatrix2 & -1 & 0 & 0 & ldots & -1 \
-1 & 2 & -1 & 0 & ldots & 0 \
0 & -1 & 2 & -1 & ldots & 0 \ vdots &vdots & vdots &vdots &vdots & vdots endbmatrix $$
And I think to solve eigenvalue problem, we need to consider $det(L_w - lambda I) =0$, take the characteristic function and then somehow we should conclude that the max value is a function of $n$ including $cos()$ operator.
I also think cofactor expansion can be a potential direction. Here on Chapter 3.2 there is an example, but that is on Paths and does the calculations for the adjacency matrix. I need to find the exact solution of the Laplacian form's maximum eigenvalue (because I will use it to find the result of the semidefinite program of MAX-CUT problem reduced to vertex-transitive graphs).
linear-algebra graph-theory eigenvalues-eigenvectors characteristic-functions graph-laplacian
$endgroup$
Problem:
We have an odd cycle, $C_2n+1$, for $n geq 1$, and the edges $e in E $ have all one weights $w in 1^E$.
Question: Denote the largest eigenvalue of the Laplacian matrix of this graph as $lambda_max(L_w)$. What is the value of $lambda_max(L_w)$?
My attempt:
The Laplacian Matrix will look like:
$$ L_w = beginbmatrix2 & -1 & 0 & 0 & ldots & -1 \
-1 & 2 & -1 & 0 & ldots & 0 \
0 & -1 & 2 & -1 & ldots & 0 \ vdots &vdots & vdots &vdots &vdots & vdots endbmatrix $$
And I think to solve eigenvalue problem, we need to consider $det(L_w - lambda I) =0$, take the characteristic function and then somehow we should conclude that the max value is a function of $n$ including $cos()$ operator.
I also think cofactor expansion can be a potential direction. Here on Chapter 3.2 there is an example, but that is on Paths and does the calculations for the adjacency matrix. I need to find the exact solution of the Laplacian form's maximum eigenvalue (because I will use it to find the result of the semidefinite program of MAX-CUT problem reduced to vertex-transitive graphs).
linear-algebra graph-theory eigenvalues-eigenvectors characteristic-functions graph-laplacian
linear-algebra graph-theory eigenvalues-eigenvectors characteristic-functions graph-laplacian
asked Mar 29 at 1:13
independentvariableindependentvariable
302111
302111
1
$begingroup$
For a cycle graph on $n$ vertices, $L$ is a circulant matrix, so we know all its eigenvalues and eigenvectors. (And the proof is as easy as observing that every vector of the form $beginbmatrix1 & omega^k & omega^2k & cdots & omega^n - 1endbmatrix^T$, where $omega = expleft(frac2pi inright)$, is an eigenvector).
$endgroup$
– M. Vinay
Mar 29 at 1:38
1
$begingroup$
For a cycle on $2n + 1$ vertices, we therefore have $$lambda_max = max_k (2 - omega^k - omega^-k) = max_k 2(1 - operatornameRe omega^k) = max_k 2left(1 - cos dfrac2kpi i2n + 1 right)$$ (in which $k$ runs from $0$ to $2n$).
$endgroup$
– M. Vinay
Mar 29 at 1:52
$begingroup$
Thank you so much. Now it is a bit clearer. Can you also derive the largest eigenvalue? I want to tick your answer :)
$endgroup$
– independentvariable
Mar 29 at 1:52
$begingroup$
I think you already editted. Thanks!!
$endgroup$
– independentvariable
Mar 29 at 1:53
$begingroup$
That $i$ shouldn't be there. Anyway, I'm typing it up as a complete answer now.
$endgroup$
– M. Vinay
Mar 29 at 2:17
add a comment |
1
$begingroup$
For a cycle graph on $n$ vertices, $L$ is a circulant matrix, so we know all its eigenvalues and eigenvectors. (And the proof is as easy as observing that every vector of the form $beginbmatrix1 & omega^k & omega^2k & cdots & omega^n - 1endbmatrix^T$, where $omega = expleft(frac2pi inright)$, is an eigenvector).
$endgroup$
– M. Vinay
Mar 29 at 1:38
1
$begingroup$
For a cycle on $2n + 1$ vertices, we therefore have $$lambda_max = max_k (2 - omega^k - omega^-k) = max_k 2(1 - operatornameRe omega^k) = max_k 2left(1 - cos dfrac2kpi i2n + 1 right)$$ (in which $k$ runs from $0$ to $2n$).
$endgroup$
– M. Vinay
Mar 29 at 1:52
$begingroup$
Thank you so much. Now it is a bit clearer. Can you also derive the largest eigenvalue? I want to tick your answer :)
$endgroup$
– independentvariable
Mar 29 at 1:52
$begingroup$
I think you already editted. Thanks!!
$endgroup$
– independentvariable
Mar 29 at 1:53
$begingroup$
That $i$ shouldn't be there. Anyway, I'm typing it up as a complete answer now.
$endgroup$
– M. Vinay
Mar 29 at 2:17
1
1
$begingroup$
For a cycle graph on $n$ vertices, $L$ is a circulant matrix, so we know all its eigenvalues and eigenvectors. (And the proof is as easy as observing that every vector of the form $beginbmatrix1 & omega^k & omega^2k & cdots & omega^n - 1endbmatrix^T$, where $omega = expleft(frac2pi inright)$, is an eigenvector).
$endgroup$
– M. Vinay
Mar 29 at 1:38
$begingroup$
For a cycle graph on $n$ vertices, $L$ is a circulant matrix, so we know all its eigenvalues and eigenvectors. (And the proof is as easy as observing that every vector of the form $beginbmatrix1 & omega^k & omega^2k & cdots & omega^n - 1endbmatrix^T$, where $omega = expleft(frac2pi inright)$, is an eigenvector).
$endgroup$
– M. Vinay
Mar 29 at 1:38
1
1
$begingroup$
For a cycle on $2n + 1$ vertices, we therefore have $$lambda_max = max_k (2 - omega^k - omega^-k) = max_k 2(1 - operatornameRe omega^k) = max_k 2left(1 - cos dfrac2kpi i2n + 1 right)$$ (in which $k$ runs from $0$ to $2n$).
$endgroup$
– M. Vinay
Mar 29 at 1:52
$begingroup$
For a cycle on $2n + 1$ vertices, we therefore have $$lambda_max = max_k (2 - omega^k - omega^-k) = max_k 2(1 - operatornameRe omega^k) = max_k 2left(1 - cos dfrac2kpi i2n + 1 right)$$ (in which $k$ runs from $0$ to $2n$).
$endgroup$
– M. Vinay
Mar 29 at 1:52
$begingroup$
Thank you so much. Now it is a bit clearer. Can you also derive the largest eigenvalue? I want to tick your answer :)
$endgroup$
– independentvariable
Mar 29 at 1:52
$begingroup$
Thank you so much. Now it is a bit clearer. Can you also derive the largest eigenvalue? I want to tick your answer :)
$endgroup$
– independentvariable
Mar 29 at 1:52
$begingroup$
I think you already editted. Thanks!!
$endgroup$
– independentvariable
Mar 29 at 1:53
$begingroup$
I think you already editted. Thanks!!
$endgroup$
– independentvariable
Mar 29 at 1:53
$begingroup$
That $i$ shouldn't be there. Anyway, I'm typing it up as a complete answer now.
$endgroup$
– M. Vinay
Mar 29 at 2:17
$begingroup$
That $i$ shouldn't be there. Anyway, I'm typing it up as a complete answer now.
$endgroup$
– M. Vinay
Mar 29 at 2:17
add a comment |
1 Answer
1
active
oldest
votes
$begingroup$
For a cycle, the Laplacian matrix and the adjacency matrix as well are circulant matrices, and we know all the eigenvalues and eigenvectors of a circulant matrix. If $L$ is the Laplacian matrix of the odd cycle on $2n + 1$ vertices, and $omega = exp frac2pi i2n + 1$ the $(2n + 1)$th root of unity, then every eigenvalue of $L$ is of the form
$$2 - omega^k - omega^-k = 2 - 2operatornameRe omega^k = 2 - 2 cos dfrac2kpi2n + 1,$$
$k = 0, ldots, 2n$.
This is maximum when the cosine is minimum, which happens when $dfrac2kpi2n + 1$ is closest to $pi$, i.e., when $k = n$ or $n + 1$ (both choices giving the same value).
Thus, the largest eigenvalue of $L$ is $$lambda_max = 2left[1 - cos dfrac2npi2n + 1 right].$$
$endgroup$
$begingroup$
Can you please explain the part where you start introducing cos? Where does it come from? What is $RE omega^k$
$endgroup$
– independentvariable
Mar 29 at 21:35
$begingroup$
I think it is n-th root of unity
$endgroup$
– independentvariable
Mar 29 at 21:36
$begingroup$
@independentvariable Yes, $omega = exp dfrac2pi i2n + 1$ is the $(2n + 1)$-th root of unity. So $omega^k$ and $omega^-k$ are mutually conjugate and $omega^k + omega^-k$ is twice the real part of $omega^k$, which is $cos dfrac2kpi2n + 1$.
$endgroup$
– M. Vinay
Mar 30 at 2:03
add a comment |
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$begingroup$
For a cycle, the Laplacian matrix and the adjacency matrix as well are circulant matrices, and we know all the eigenvalues and eigenvectors of a circulant matrix. If $L$ is the Laplacian matrix of the odd cycle on $2n + 1$ vertices, and $omega = exp frac2pi i2n + 1$ the $(2n + 1)$th root of unity, then every eigenvalue of $L$ is of the form
$$2 - omega^k - omega^-k = 2 - 2operatornameRe omega^k = 2 - 2 cos dfrac2kpi2n + 1,$$
$k = 0, ldots, 2n$.
This is maximum when the cosine is minimum, which happens when $dfrac2kpi2n + 1$ is closest to $pi$, i.e., when $k = n$ or $n + 1$ (both choices giving the same value).
Thus, the largest eigenvalue of $L$ is $$lambda_max = 2left[1 - cos dfrac2npi2n + 1 right].$$
$endgroup$
$begingroup$
Can you please explain the part where you start introducing cos? Where does it come from? What is $RE omega^k$
$endgroup$
– independentvariable
Mar 29 at 21:35
$begingroup$
I think it is n-th root of unity
$endgroup$
– independentvariable
Mar 29 at 21:36
$begingroup$
@independentvariable Yes, $omega = exp dfrac2pi i2n + 1$ is the $(2n + 1)$-th root of unity. So $omega^k$ and $omega^-k$ are mutually conjugate and $omega^k + omega^-k$ is twice the real part of $omega^k$, which is $cos dfrac2kpi2n + 1$.
$endgroup$
– M. Vinay
Mar 30 at 2:03
add a comment |
$begingroup$
For a cycle, the Laplacian matrix and the adjacency matrix as well are circulant matrices, and we know all the eigenvalues and eigenvectors of a circulant matrix. If $L$ is the Laplacian matrix of the odd cycle on $2n + 1$ vertices, and $omega = exp frac2pi i2n + 1$ the $(2n + 1)$th root of unity, then every eigenvalue of $L$ is of the form
$$2 - omega^k - omega^-k = 2 - 2operatornameRe omega^k = 2 - 2 cos dfrac2kpi2n + 1,$$
$k = 0, ldots, 2n$.
This is maximum when the cosine is minimum, which happens when $dfrac2kpi2n + 1$ is closest to $pi$, i.e., when $k = n$ or $n + 1$ (both choices giving the same value).
Thus, the largest eigenvalue of $L$ is $$lambda_max = 2left[1 - cos dfrac2npi2n + 1 right].$$
$endgroup$
$begingroup$
Can you please explain the part where you start introducing cos? Where does it come from? What is $RE omega^k$
$endgroup$
– independentvariable
Mar 29 at 21:35
$begingroup$
I think it is n-th root of unity
$endgroup$
– independentvariable
Mar 29 at 21:36
$begingroup$
@independentvariable Yes, $omega = exp dfrac2pi i2n + 1$ is the $(2n + 1)$-th root of unity. So $omega^k$ and $omega^-k$ are mutually conjugate and $omega^k + omega^-k$ is twice the real part of $omega^k$, which is $cos dfrac2kpi2n + 1$.
$endgroup$
– M. Vinay
Mar 30 at 2:03
add a comment |
$begingroup$
For a cycle, the Laplacian matrix and the adjacency matrix as well are circulant matrices, and we know all the eigenvalues and eigenvectors of a circulant matrix. If $L$ is the Laplacian matrix of the odd cycle on $2n + 1$ vertices, and $omega = exp frac2pi i2n + 1$ the $(2n + 1)$th root of unity, then every eigenvalue of $L$ is of the form
$$2 - omega^k - omega^-k = 2 - 2operatornameRe omega^k = 2 - 2 cos dfrac2kpi2n + 1,$$
$k = 0, ldots, 2n$.
This is maximum when the cosine is minimum, which happens when $dfrac2kpi2n + 1$ is closest to $pi$, i.e., when $k = n$ or $n + 1$ (both choices giving the same value).
Thus, the largest eigenvalue of $L$ is $$lambda_max = 2left[1 - cos dfrac2npi2n + 1 right].$$
$endgroup$
For a cycle, the Laplacian matrix and the adjacency matrix as well are circulant matrices, and we know all the eigenvalues and eigenvectors of a circulant matrix. If $L$ is the Laplacian matrix of the odd cycle on $2n + 1$ vertices, and $omega = exp frac2pi i2n + 1$ the $(2n + 1)$th root of unity, then every eigenvalue of $L$ is of the form
$$2 - omega^k - omega^-k = 2 - 2operatornameRe omega^k = 2 - 2 cos dfrac2kpi2n + 1,$$
$k = 0, ldots, 2n$.
This is maximum when the cosine is minimum, which happens when $dfrac2kpi2n + 1$ is closest to $pi$, i.e., when $k = n$ or $n + 1$ (both choices giving the same value).
Thus, the largest eigenvalue of $L$ is $$lambda_max = 2left[1 - cos dfrac2npi2n + 1 right].$$
edited Mar 30 at 2:04
answered Mar 29 at 2:43
M. VinayM. Vinay
7,28822135
7,28822135
$begingroup$
Can you please explain the part where you start introducing cos? Where does it come from? What is $RE omega^k$
$endgroup$
– independentvariable
Mar 29 at 21:35
$begingroup$
I think it is n-th root of unity
$endgroup$
– independentvariable
Mar 29 at 21:36
$begingroup$
@independentvariable Yes, $omega = exp dfrac2pi i2n + 1$ is the $(2n + 1)$-th root of unity. So $omega^k$ and $omega^-k$ are mutually conjugate and $omega^k + omega^-k$ is twice the real part of $omega^k$, which is $cos dfrac2kpi2n + 1$.
$endgroup$
– M. Vinay
Mar 30 at 2:03
add a comment |
$begingroup$
Can you please explain the part where you start introducing cos? Where does it come from? What is $RE omega^k$
$endgroup$
– independentvariable
Mar 29 at 21:35
$begingroup$
I think it is n-th root of unity
$endgroup$
– independentvariable
Mar 29 at 21:36
$begingroup$
@independentvariable Yes, $omega = exp dfrac2pi i2n + 1$ is the $(2n + 1)$-th root of unity. So $omega^k$ and $omega^-k$ are mutually conjugate and $omega^k + omega^-k$ is twice the real part of $omega^k$, which is $cos dfrac2kpi2n + 1$.
$endgroup$
– M. Vinay
Mar 30 at 2:03
$begingroup$
Can you please explain the part where you start introducing cos? Where does it come from? What is $RE omega^k$
$endgroup$
– independentvariable
Mar 29 at 21:35
$begingroup$
Can you please explain the part where you start introducing cos? Where does it come from? What is $RE omega^k$
$endgroup$
– independentvariable
Mar 29 at 21:35
$begingroup$
I think it is n-th root of unity
$endgroup$
– independentvariable
Mar 29 at 21:36
$begingroup$
I think it is n-th root of unity
$endgroup$
– independentvariable
Mar 29 at 21:36
$begingroup$
@independentvariable Yes, $omega = exp dfrac2pi i2n + 1$ is the $(2n + 1)$-th root of unity. So $omega^k$ and $omega^-k$ are mutually conjugate and $omega^k + omega^-k$ is twice the real part of $omega^k$, which is $cos dfrac2kpi2n + 1$.
$endgroup$
– M. Vinay
Mar 30 at 2:03
$begingroup$
@independentvariable Yes, $omega = exp dfrac2pi i2n + 1$ is the $(2n + 1)$-th root of unity. So $omega^k$ and $omega^-k$ are mutually conjugate and $omega^k + omega^-k$ is twice the real part of $omega^k$, which is $cos dfrac2kpi2n + 1$.
$endgroup$
– M. Vinay
Mar 30 at 2:03
add a comment |
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$begingroup$
For a cycle graph on $n$ vertices, $L$ is a circulant matrix, so we know all its eigenvalues and eigenvectors. (And the proof is as easy as observing that every vector of the form $beginbmatrix1 & omega^k & omega^2k & cdots & omega^n - 1endbmatrix^T$, where $omega = expleft(frac2pi inright)$, is an eigenvector).
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– M. Vinay
Mar 29 at 1:38
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For a cycle on $2n + 1$ vertices, we therefore have $$lambda_max = max_k (2 - omega^k - omega^-k) = max_k 2(1 - operatornameRe omega^k) = max_k 2left(1 - cos dfrac2kpi i2n + 1 right)$$ (in which $k$ runs from $0$ to $2n$).
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– M. Vinay
Mar 29 at 1:52
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Thank you so much. Now it is a bit clearer. Can you also derive the largest eigenvalue? I want to tick your answer :)
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– independentvariable
Mar 29 at 1:52
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I think you already editted. Thanks!!
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– independentvariable
Mar 29 at 1:53
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That $i$ shouldn't be there. Anyway, I'm typing it up as a complete answer now.
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– M. Vinay
Mar 29 at 2:17