Question | Answer |

system where all constraints are 0 (when every equation in the system equals 0) | |

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

above and below leading ones are zeroes | |

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

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

If det(A) does not equal 0 then A is | |

vector of length one | |

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

the distance between vector u and the projection of vector u onto vector v | |

When vectors can be written as linear combinations of each other they are | |

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

system of linear equations with one or more solutions | |

a matrix where all entries are non-negative and every column sums to one | |

x vector =(x1,x2,...,xn) = Po vector + t times the v vector | |

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

When no vector in S is a linear combination of the other vectors | |

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

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

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

when it costs less then $1 in raw materials to make $1 worth of product | |

the square root of (u1)^2+...+ (uk)^k | |

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

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