Matrix Algebra with Julia

using LinearAlgebra
A = [0  .0043 .1132 0;
.9775 0.9111  0 0;
0 0.0736  0.9534 0;
 0 0 .0452  0.9804]
eA = eigen(A)
λ = maximum(eigvals(A))
w = eigvecs(A)[:,end]/sum(eigvecs(A)[:,end])

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Citation

BibTeX citation:
@online{dewitt2022,
  author = {Michael E. DeWitt},
  title = {Matrix Algebra with Julia},
  date = {2022-08-15},
  url = {https://michaeldewittjr.com/blog/2022-08-15-matrix-algebra-with-julia/},
  langid = {en}
}
For attribution, please cite this work as:
Michael E. DeWitt. August 15, 2022. "Matrix Algebra with Julia". https://michaeldewittjr.com/blog/2022-08-15-matrix-algebra-with-julia/.