Hi there!

I’m trying to solve an eigenvalues problem. Originally I have a 792x792 matrix that I turned into a Sparse Array. For that purpose I’m using Arpack and eigs( ). The dimension of that array is 792 so I expect that number of eigenvalues, but I get 791. I’m specifying de number of eigenvalues (nev = 792), but I get this warning:

┌ Warning: Adjusting nev from 792 to 791

└ @ Arpack ~/.julia/packages/Arpack/UiiMc/src/Arpack.jl:99

I mean, I tried the same in Mathematica and I got 792 values without any problem.

My code is some heavy, so I made another one with a 3x3 array. And I get the same problem.

```
using Arpack
foo = [[1, 2, 3] [5, 6, 7] [8, 9, 10]] #dummy array
eigs(foo, nev = 3)[1] #I know and I tried in Mathematica this one and I got 3 eigenvalues
```

But the same warning appears again!

┌ Warning: Adjusting nev from 3 to 1

└ @ Arpack ~/.julia/packages/Arpack/UiiMc/src/Arpack.jl:99

Does anyone know why I’m getting less eigenvalues that I expect?

Is there any way to avoid that auto adjusting of the nev?

By the way, I’m using version 1.1.0 of Julia on my Mac.

Thank you!