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Solutions for a linear algebra take-home exam, including finding the complete solution of a system of equations, finding bases for subspaces, finding orthonormal bases, projecting vectors onto subspaces, and determining the line of best fit. It also includes instructions for matrix multiplications and reductions to reduced row echelon form.
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This take-home exam is due at class time on Friday, March 22. (Sooner is fine.) You may consult the textbook (or any other book) and any class notes and handouts, but please do not discuss any details of this exam with anyone except me! Please sign the bottom of this sheet and turn it in with your exam. You may ask me questions about the exam, but I reserve the right to give unsatisfying answers. Matrix multiplications and reductions to reduced row echelon form may be done on MATLAB or a calculator, but please show all other work.
x 1 x 2 x 3 x 4
What is the factored form of A that displays these bases?
and
span a 3-dimensional subspace of^ R^4.^ Find an
orthonormal basis for it.
, ~v 2 =
, and ~v 3 =
, and let S be the subspace of R^5 spanned by
~v 1 and ~v 2. Find the matrix P that projects vectors in R^5 onto S, and the matrix R that reflects through S. Find also the projection of ~v 3 onto S and the reflection ~r of ~v 3 through S.
is a projection matrix. Find a
basis for the subspace T of R^4 that P projects onto, and a basis for T ⊥^ (the orthogonal complement of T ).
are a basis of U. To find the projection matrix onto U directly from the formula A
AT^ one would have to invert a 6 × 6 matrix. Can you think of an alternative way to find this projection matrix where you would only need to invert a 2 × 2 matrix?
I affirm that I did not receive help from another person in doing this exam, nor did I give help to another student in the class.
(signed)