Question | Answer |

If every vector is a unit vector and the vectors are mutually orthogonal then the vectors are | |

the set of all linear combinations of a set of vectors | |

when you multiply this with a matrix it is like multiplying by one | |

vector u times vector v = u1v1+...+unvn | |

choosing a point in a matrix, turning it into a one, then annihilating entries above and below it | |

method used to find the determinant and/or inverse of a 3x3 matrix or larger | |

an extra variable that's added to an inequality to make the constraint an equality | |

vector x = vector Po + t times vector v1 + s times vector v2 | |

linear system that does not have any solutions | |

the number of non-zero rows the matrix has after it has been put in ref | |

A system is consistent if and only if the row rank of the coefficient matrix equals the row rank of the augmented matrix | |

A^t (switching a matrix's rows and columns) | |

when a linear system has an infinite number of solutions it has: | |

a basic solution to a linear program in which all variables are nonnegative | |

when one non-zero vector is a scalar multiple of another, these vectors are: | |

If given any demand there is a production schedule that meets that demand | |

If AB = I and BA = I then B is the _______ of A. | |

A vector space W that is part of a larger vector space V | |

a matrix that represents the cost per dollar to run several companies/industries in an economy | |

vector starting at the origin and ending at a point | |

If a set of vectors spans the vector space V and the set is linearly independent it is a | |

when vector u times vector v = 0, U and v vectors are: | |

1-parameter solution = | |

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