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#Randomize \$SL_n(\mathbb R)\$

Randomize \$SL_n(\mathbb R)\$

Given a positive integer \$n > 1\$, return a random element from \$SL_n(\mathbb R)\$.

###Details

Details

  • \$SL_n(\mathbb R)\$ is the set of \$n \times n\$ matrices with determinant \$1\$.
  • In theory the output must cover the whole \$SL_n(\mathbb R)\$ (that is, if the RNG you're using was perfect and we could actually represent real numbers).
  • We don't require an uniform distribution.
  • Instead of real numbers it is sufficient to work with floating point numbers.

#Randomize \$SL_n(\mathbb R)\$

Given a positive integer \$n > 1\$, return a random element from \$SL_n(\mathbb R)\$.

###Details

  • \$SL_n(\mathbb R)\$ is the set of \$n \times n\$ matrices with determinant \$1\$.
  • In theory the output must cover the whole \$SL_n(\mathbb R)\$ (that is, if the RNG you're using was perfect and we could actually represent real numbers).
  • We don't require an uniform distribution.
  • Instead of real numbers it is sufficient to work with floating point numbers.

Randomize \$SL_n(\mathbb R)\$

Given a positive integer \$n > 1\$, return a random element from \$SL_n(\mathbb R)\$.

Details

  • \$SL_n(\mathbb R)\$ is the set of \$n \times n\$ matrices with determinant \$1\$.
  • In theory the output must cover the whole \$SL_n(\mathbb R)\$ (that is, if the RNG you're using was perfect and we could actually represent real numbers).
  • We don't require an uniform distribution.
  • Instead of real numbers it is sufficient to work with floating point numbers.
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#Randomize \$SL_n(\mathbb R)\$

Given a positive integer \$n > 1\$, return a random element from \$SL_n(\mathbb R)\$.

###Details

  • \$SL_n(\mathbb R)\$ is the set of \$n \times n\$ matrices with determinant \$1\$.
  • In theory the output must cover the whole \$SL_n(\mathbb R)\$ (that is, if the RNG you're using was perfect and we could actually represent real numbers).
  • We don't require an uniform distribution.
  • Instead of real numbers it is sufficient to work with floating point numbers.