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    Functions Modeling Change
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    Exam 12: Vectors and Matrices
  5. Question
    In Certain Cases, There Is a Nonzero Vector
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In Certain Cases, There Is a Nonzero Vector

Question 33

Question 33

Short Answer

In certain cases, there is a nonzero vector In certain cases, there is a nonzero vector    and a scalar   for a matrix   such that   . The vector   is called an eigenvector of   with eigenvalue   . Let   with eigenvector   . What is its eigenvalue? and a scalar In certain cases, there is a nonzero vector    and a scalar   for a matrix   such that   . The vector   is called an eigenvector of   with eigenvalue   . Let   with eigenvector   . What is its eigenvalue? for a matrix In certain cases, there is a nonzero vector    and a scalar   for a matrix   such that   . The vector   is called an eigenvector of   with eigenvalue   . Let   with eigenvector   . What is its eigenvalue? such that In certain cases, there is a nonzero vector    and a scalar   for a matrix   such that   . The vector   is called an eigenvector of   with eigenvalue   . Let   with eigenvector   . What is its eigenvalue? . The vector In certain cases, there is a nonzero vector    and a scalar   for a matrix   such that   . The vector   is called an eigenvector of   with eigenvalue   . Let   with eigenvector   . What is its eigenvalue? is called an eigenvector of In certain cases, there is a nonzero vector    and a scalar   for a matrix   such that   . The vector   is called an eigenvector of   with eigenvalue   . Let   with eigenvector   . What is its eigenvalue? with eigenvalue In certain cases, there is a nonzero vector    and a scalar   for a matrix   such that   . The vector   is called an eigenvector of   with eigenvalue   . Let   with eigenvector   . What is its eigenvalue? . Let In certain cases, there is a nonzero vector    and a scalar   for a matrix   such that   . The vector   is called an eigenvector of   with eigenvalue   . Let   with eigenvector   . What is its eigenvalue? with eigenvector In certain cases, there is a nonzero vector    and a scalar   for a matrix   such that   . The vector   is called an eigenvector of   with eigenvalue   . Let   with eigenvector   . What is its eigenvalue? . What is its eigenvalue?

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