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# Re: st: Problem computing eigenvalues, STATA vs. MATA

 From Steven Samuels <[email protected]> To [email protected] Subject Re: st: Problem computing eigenvalues, STATA vs. MATA Date Sun, 9 Jan 2011 20:44:44 -0500

Reread Austin's response and then look up the definition of eigenvalues and eigenvectors. The two "different" solutions are, in fact, equivalent.
```

Steve
[email protected]

On Jan 9, 2011, at 5:30 PM, Zachary Neal wrote:

This doesn't seem to help.  Running the code suggested below by Austin
Nichols, the values in the first eigenvector using matrix symeigen
are:

.5773502692
.5
.5
.2886751346
.2886751346

However, the values in the first eigenvector using
symeigensystem(st_matrix("A"),vectors2,values2) are:

.5773502692
-.5
-.5
.2886751346
.2886751346

I'm not clear why the 2nd and 3rd values here are not positive, as
they are in the results produced by matrix symeigen.

Best
Zachary

```
On Sun, Jan 9, 2011 at 10:42 AM, Austin Nichols <[email protected]> wrote:
```Zachary Neal <[email protected]>:
You are confusing vectors and values there, and not sorting by values
after computing the eigensystem, but note that the only real
difference is that a couple of vectors are negated (any scalar
multiple of an eigenvector is also an eigenvector and the negation has
the same length so they are essentially equivalent) and Mata is using
quad precision to do the computations.

```
matrix define A = 0,1,1,0,0 \ 1,0,0,1,0 \ 1,0,0,0,1 \ 0,1,0,0,0 \ 0,0,1,0,0
```matrix symeigen vectors1 values1 = A
matrix list values1
matrix list vectors1
mata
values2 = 0
vectors2 = 0
symeigensystem(st_matrix("A"),vectors2,values2)
v2=sort((values2\vectors2)',1)'
v2[1,.]
v2[2..6,.]
end

On Sun, Jan 9, 2011 at 8:08 AM, Zachary Neal <[email protected]> wrote:
```
I am trying to obtain the eigenvalues of a symmetric matrix. However, I get different results depending on whether I use STATA or MATA. For
```example:

```
matrix define A = 0,1,1,0,0 \ 1,0,0,1,0 \ 1,0,0,0,1 \ 0,1,0,0,0 \ 0,0,1,0,0
```matrix symeigen eigenvalues1 eigenvectors1 = A
matrix list eigenvalues1

mata: A = 0,1,1,0,0 \ 1,0,0,1,0 \ 1,0,0,0,1 \ 0,1,0,0,0 \ 0,0,1,0,0
mata: eigenvalues2 = 0
mata: eigenvectors2 = 0
mata: symeigensystem(A,eigenvalues2,eigenvectors2)
mata: eigenvalues2

```
In this case, eigenvalues1 does not equal eigenvalues2. I believe the results yielded by STATA (i.e. eigenvalues1) are what I'm looking for.
```
Why do these two sets of commands yield different results?  What
commands are necessary in MATA to yield the same eigenvalues that are
given by STATA?

Thank you
Zachary Neal
```
```
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```
```

--
Zachary Neal, PhD
Department of Sociology
Michigan State University
[email protected]
http://www.msu.edu/~zpneal

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```