Practice The Rank of a Matrix and Linear Independence - 23.10 | 23. Linear Independence | Mathematics (Civil Engineering -1)
K12 Students

Academics

AI-Powered learning for Grades 8–12, aligned with major Indian and international curricula.

Professionals

Professional Courses

Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.

Games

Interactive Games

Fun, engaging games to boost memory, math fluency, typing speed, and English skills—perfect for learners of all ages.

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Determine the rank of the following matrix: [1 2; 2 4].

💡 Hint: Look for redundancy between the rows.

Question 2

Easy

List conditions when a set of vectors is considered linearly independent.

💡 Hint: Think about linear combinations and the zero vector.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

If a matrix has a rank equal to its number of columns, what can we say about its column vectors?

  • They are linearly dependent
  • They are linearly independent
  • They are not related

💡 Hint: Recall the definition of rank.

Question 2

True or False: A set containing the zero vector can still be linearly independent.

  • True
  • False

💡 Hint: Consider the implications of the zero vector in linear combinations.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Consider a matrix A with vectors [(1, 2), (2, 4), (3, 6), (4, 8)]. What is its rank and what does this imply about the vectors?

💡 Hint: Check if any vector can be produced as a linear combination of the others.

Question 2

If a system of equations is determined by vectors in R^6, can any matrix formed from them have a rank greater than 6? Justify your answer.

💡 Hint: Review the relationship between the rank of a matrix and its dimensional properties.

Challenge and get performance evaluation