Practice Gram-Schmidt Orthogonalization - 24.18 | 24. Vector Space | Mathematics (Civil Engineering -1)
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Practice Questions

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Question 1

Easy

What is the first step in the Gram-Schmidt process?

💡 Hint: Think about the length of a vector.

Question 2

Easy

Define orthonormal vectors.

💡 Hint: What properties do the vectors have?

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Interactive Quizzes

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Question 1

What does the Gram-Schmidt process achieve?

  • Creates linearly dependent vectors
  • Finds a set of orthonormal vectors
  • Normalizes a single vector

💡 Hint: Consider what is produced by the process.

Question 2

True or False: The Gram-Schmidt process can only be applied to vectors in \(\mathbb{R}^3\).

  • True
  • False

💡 Hint: Think about vectors in other spaces too.

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Challenge Problems

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Question 1

Given the vectors \(v_1 = (2, -1, 1)\) and \(v_2 = (1, 3, -2)\), apply the Gram-Schmidt process to create the orthonormal basis.

💡 Hint: Break down the steps: normalization, projection, and adjust.

Question 2

Using the orthonormal basis computed from previous vectors, solve for the coefficients of a given vector \(w = (0, 0, 1)\) in that basis.

💡 Hint: Remember, the coefficients will tell how much of each unit vector is present.

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