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  • Linear systems and echelon matrices

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  • The echelon form can be used to determine if a linear system is consistent.
  • Example of using the echelon form to determine if a linear system is consistent.
  • The number of pivots in the reduced row echelon form of a consistent system determines whether there is one or infinitely many solutions.
  • The number of pivots in the reduced row echelon form of a consistent system determines the number of free variables in the solution set.
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  1. The number of pivots in the reduced row echelon form of a consistent system determines whether there is one or infinitely many solutions.

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  • The number of pivots in the reduced row echelon form of a consistent system determines the number of free variables in the solution set.Close match
  • A consistent system with more variables than equations has infinitely many solutions.Close match
  • All echelon forms of a linear system have the same free variablesClose match
  • A homogeneous system has a nontrivial solution if and only if it has a free variable.Close match
  • The number of solutions to a linear systemClose match
  • A homogeneous system with more variables than equations has infinitely many solutions.Close match
  • Linear systems and echelon matricesClose match
  • Equivalence theorem for nonsingular matrices: there is a pivot position in every row of A.Close match
  • The echelon form can be used to determine if a linear system is consistent.Close match
  • A real or complex linear system has zero, one, or infinitely many solutionsClose match
  • The matrix equation Ax=b has a solution if and only if b is a linear combination of the columns of A.Close match
  • Linear systems of equationsClose match
  • The rank of a matrix equals number of pivots in a reduced row echelon form.Close match
  • Every matrix is row-equivalent to only one matrix in reduced row echelon form.Close match
  • Definition of echelon form of a linear systemClose match
  • Definition of free/independent variable in a linear systemClose match
  • Equivalence theorem for nonsingular matrices: the equation Ax=b has a unique solution for all b.Close match
  • Echelon matricesClose match
  • A matrix equation is equivalent to a linear systemClose match
  • Example of putting a matrix in echelon form and identifying the pivot columnsClose match

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