Exam 2: Euclidean Space

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Determine if the system Determine if the system     (where     and     have the appropriate number of components) has a solution for all choices of      .   (where Determine if the system     (where     and     have the appropriate number of components) has a solution for all choices of      .   and Determine if the system     (where     and     have the appropriate number of components) has a solution for all choices of      .   have the appropriate number of components) has a solution for all choices of Determine if the system     (where     and     have the appropriate number of components) has a solution for all choices of      .   . Determine if the system     (where     and     have the appropriate number of components) has a solution for all choices of      .

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Yes, a solution exists.

Express Express     as a linear combination of the other vectors, if possible.   as a linear combination of the other vectors, if possible. Express     as a linear combination of the other vectors, if possible.

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If the columns of a matrix If the columns of a matrix     with     rows and     columns spans R<sup>n</sup>, then      . with If the columns of a matrix     with     rows and     columns spans R<sup>n</sup>, then      . rows and If the columns of a matrix     with     rows and     columns spans R<sup>n</sup>, then      . columns spans Rn, then If the columns of a matrix     with     rows and     columns spans R<sup>n</sup>, then      . .

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True

Determine if the columns of the given matrix are linearly independent. Determine if the columns of the given matrix are linearly independent.

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If If      ,      , and     are vectors, then      . , If      ,      , and     are vectors, then      . , and If      ,      , and     are vectors, then      . are vectors, then If      ,      , and     are vectors, then      . .

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If If     for every      , then the columns of     are linearly independent. for every If     for every      , then the columns of     are linearly independent. , then the columns of If     for every      , then the columns of     are linearly independent. are linearly independent.

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Suppose there exists a vector Suppose there exists a vector     such that      . Then the columns of     are linearly independent. such that Suppose there exists a vector     such that      . Then the columns of     are linearly independent. . Then the columns of Suppose there exists a vector     such that      . Then the columns of     are linearly independent. are linearly independent.

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Determine if the columns of the given matrix are linearly independent. Determine if the columns of the given matrix are linearly independent.

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Determine if the columns of the given matrix span R2. Determine if the columns of the given matrix span R<sup>2</sup>.

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The general solution to a linear system is given. Express this solution as a linear combination of vectors. The general solution to a linear system is given. Express this solution as a linear combination of vectors.

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Find the unknowns in the given vector equation. Find the unknowns in the given vector equation.

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Suppose a matrix Suppose a matrix     has     rows and     columns, with      . Then the columns of     do not span R<sup>n</sup>. has Suppose a matrix     has     rows and     columns, with      . Then the columns of     do not span R<sup>n</sup>. rows and Suppose a matrix     has     rows and     columns, with      . Then the columns of     do not span R<sup>n</sup>. columns, with Suppose a matrix     has     rows and     columns, with      . Then the columns of     do not span R<sup>n</sup>. . Then the columns of Suppose a matrix     has     rows and     columns, with      . Then the columns of     do not span R<sup>n</sup>. do not span Rn.

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Express Express     as a linear combination of the other vectors, if possible.   as a linear combination of the other vectors, if possible. Express     as a linear combination of the other vectors, if possible.

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If If     and     are vectors, and     and     are scalars, then      . and If     and     are vectors, and     and     are scalars, then      . are vectors, and If     and     are vectors, and     and     are scalars, then      . and If     and     are vectors, and     and     are scalars, then      . are scalars, then If     and     are vectors, and     and     are scalars, then      . .

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Find five vectors that are in the span of the given vectors. Find five vectors that are in the span of the given vectors.

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If If      , then      . , then If      , then      . .

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Express the given system of linear equations as a vector equation. Express the given system of linear equations as a vector equation.

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Suppose a matrix Suppose a matrix     has     rows and     columns, with      . Then the columns of     span R<sup>n</sup>. has Suppose a matrix     has     rows and     columns, with      . Then the columns of     span R<sup>n</sup>. rows and Suppose a matrix     has     rows and     columns, with      . Then the columns of     span R<sup>n</sup>. columns, with Suppose a matrix     has     rows and     columns, with      . Then the columns of     span R<sup>n</sup>. . Then the columns of Suppose a matrix     has     rows and     columns, with      . Then the columns of     span R<sup>n</sup>. span Rn.

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Determine if the homogeneous system Determine if the homogeneous system     has any nontrivial solutions, where      . has any nontrivial solutions, where Determine if the homogeneous system     has any nontrivial solutions, where      . .

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Suppose a matrix Suppose a matrix     has     rows and     columns, with      . Then the columns of     are linearly independent. has Suppose a matrix     has     rows and     columns, with      . Then the columns of     are linearly independent. rows and Suppose a matrix     has     rows and     columns, with      . Then the columns of     are linearly independent. columns, with Suppose a matrix     has     rows and     columns, with      . Then the columns of     are linearly independent. . Then the columns of Suppose a matrix     has     rows and     columns, with      . Then the columns of     are linearly independent. are linearly independent.

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