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    Linear Algebra: Vectors and Least Squares Problems

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    1. Consider the set of vectors:

    V1 = [6, 0, 2]. V2 = [2, -1, 1], V3 = [-4, -1, -1]

    Do they form a basis in R^2? Give reasons.

    What is the dimension of space spanned by these vectors?

    2. Find the orthogonal projection of the vector u = (-2, 2, 3) onto the subspace spanned by vectors v1 = (3, -1, 0) and v2 = (1, -2, 1).

    3. Given the vectors (4, 2, 1), (2, -1, 1) and (2, 3, 0)
    (a) Determine whether these vectors are linearly independent or dependent.
    (b) What is the dimension of the space spanned by these vectors?

    4. Find the least squares solution to the equation:
    [1, 0, 1; -1, 1, 2]x = [0, 7, -1].

    © BrainMass Inc. brainmass.com October 10, 2019, 7:42 am ad1c9bdddf
    https://brainmass.com/math/linear-algebra/linear-algebra-vectors-least-squares-problems-592086

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    1/. Solution:

    The vectors are linearly dependent since the determinant of the matrix is zero.
    Since vectors are linearly dependent they can't form a basis in R^3.

    multiply the 1st row by 1/6

    add -2 times ...

    Solution Summary

    This posting explains how to find whether vectors are linearly independent or dependent and they form a basis or not. It also explains how to find the dimension of the space spanned by given vectors. It also includes step by step explanation to one question on finding least squares solution to a matrix equation.

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