How to resolve the algorithm Conjugate transpose step by step in the Ruby programming language
How to resolve the algorithm Conjugate transpose step by step in the Ruby programming language
Table of Contents
Problem Statement
Suppose that a matrix
M
{\displaystyle M}
contains complex numbers. Then the conjugate transpose of
M
{\displaystyle M}
is a matrix
M
H
{\displaystyle M^{H}}
containing the complex conjugates of the matrix transposition of
M
{\displaystyle M}
.
This means that row
j
{\displaystyle j}
, column
i
{\displaystyle i}
of the conjugate transpose equals the complex conjugate of row
i
{\displaystyle i}
, column
j
{\displaystyle j}
of the original matrix.
In the next list,
M
{\displaystyle M}
must also be a square matrix.
Given some matrix of complex numbers, find its conjugate transpose. Also determine if the matrix is a:
Let's start with the solution:
Step by Step solution about How to resolve the algorithm Conjugate transpose step by step in the Ruby programming language
This code uses the Matrix library in Ruby to manipulate complex matrices. Here's a breakdown of what the code does:
-
Require the Matrix library:
require 'matrix'
: This line imports the Matrix library into the Ruby program. -
Create a complex matrix: The code creates a complex matrix
matrix
using theMatrix[[...]]
syntax. The matrix is a 3x3 diagonal matrix with each entry set to the imaginary uniti
. -
Find the conjugate transpose: The code finds the conjugate transpose of the matrix
matrix
usingmatrix.conj.t
. Theconj
method returns the conjugate of the matrix (i.e., the complex conjugate of each element), and thet
method transposes the matrix (i.e., swaps rows and columns). -
Print the conjugate transpose: The code prints the conjugate transpose matrix using
puts conjt
. -
Check if the matrix is square: The code checks if the matrix
matrix
is square (i.e., has the same number of rows and columns) usingmatrix.square?
. -
Check for special matrix properties: If the matrix is square, the code checks for three special matrix properties:
- Hermitian: The matrix is Hermitian if it is equal to its conjugate transpose. The code checks this using
matrix.hermitian?
. - Normal: The matrix is normal if it commutes with its conjugate transpose. The code checks this using
matrix.normal?
. - Unitary: The matrix is unitary if it is square and its inverse is equal to its conjugate transpose. The code checks this using
matrix.unitary?
.
- Hermitian: The matrix is Hermitian if it is equal to its conjugate transpose. The code checks this using
-
Print the results: The code prints the results of the matrix property checks. If the matrix is not square, it prints "false" for all three properties.
Source code in the ruby programming language
require 'matrix'
# Start with some matrix.
i = Complex::I
matrix = Matrix[[i, 0, 0],
[0, i, 0],
[0, 0, i]]
# Find the conjugate transpose.
# Matrix#conjugate appeared in Ruby 1.9.2.
conjt = matrix.conj.t # aliases for matrix.conjugate.tranpose
print 'conjugate tranpose: '; puts conjt
if matrix.square?
# These predicates appeared in Ruby 1.9.3.
print 'Hermitian? '; puts matrix.hermitian?
print ' normal? '; puts matrix.normal?
print ' unitary? '; puts matrix.unitary?
else
# Matrix is not square. These predicates would
# raise ExceptionForMatrix::ErrDimensionMismatch.
print 'Hermitian? false'
print ' normal? false'
print ' unitary? false'
end
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