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How do you put vectors into columns to test for linear independence?

To test for linear independence, write the coefficient equation as a homogeneous matrix system by placing the tested vectors into the columns of a matrix. Then perform row reduction on this matrix. Row reduction reveals whether free variables remain in the system. If there are free variables, there are nontrivial solutions, implying dependence. If there are no free variables (only the trivial solution), the vectors are independent.

Conditions

  • You have a set of vectors to test.
  • You are forming a homogeneous system Ax=0Ax=0.
  • The vectors are placed as columns in matrix AA.

Reasoning, step by step

  1. Construct a matrix where each column is one of the tested vectors.
  2. Set up the homogeneous equation Ax=0Ax=0, where xx is the vector of coefficients.
  3. Perform row reduction (Gaussian elimination) on the matrix.
  4. Check for free variables in the reduced form.
  5. If free variables exist, the vectors are linearly dependent.
  6. If no free variables exist, the vectors are linearly independent.

Example

The script states: 'Write the coefficient equation as a homogeneous matrix system, placing the tested vectors into columns. Row reduction reveals whether free variables remain.'

Common misconceptions

  • Placing vectors as rows instead of columns (which tests row independence, but the standard method for column vectors uses columns).
  • Forgetting that row reduction is used to solve the homogeneous system, not just to find the rank.
  • Assuming that a zero determinant always implies independence (it implies dependence for square matrices).

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