Practice Orthogonality in Vector Spaces - 24.17 | 24. Vector Space | Mathematics (Civil Engineering -1)
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Orthogonality in Vector Spaces

24.17 - Orthogonality in Vector Spaces

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

Define orthogonal vectors.

💡 Hint: Think about their geometric representation.

Question 2 Easy

What condition must be met for vectors to be orthonormal?

💡 Hint: Recall the definition of unit length.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does it mean for two vectors to be orthogonal?

Their dot product is one.
Their dot product is zero.
They have the same direction.

💡 Hint: Think about how two vectors' directions relate in space.

Question 2

True or False: All orthonormal vectors are orthogonal.

True
False

💡 Hint: Recall the definition of orthonormal sets.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given vectors A = (2, 3, 6) and B = (1, -1, 2), are they orthogonal? Verify your answer.

💡 Hint: Remember to calculate the dot product correctly.

Challenge 2 Hard

Find a new orthonormal basis for the vectors in R² given by (4, 3) and (1, 1) using the Gram-Schmidt process.

💡 Hint: Follow the Gram-Schmidt steps methodically.

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