Practice Rank and Nullity - 26.8 | 26. Vector Spaces | 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

Define the term 'rank' in the context of a matrix.

💡 Hint: Think about linear independence.

Question 2

Easy

What does nullity represent?

💡 Hint: Consider vectors that solve Ax = 0.

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

What is the rank of a square matrix if all of its columns are linearly independent?

  • 0
  • 1
  • n

💡 Hint: Consider the maximum independence among columns.

Question 2

True or False: Nullity can be negative.

  • True
  • False

💡 Hint: Dimensions of spaces are always non-negative.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given matrix A = [[1, 2, 3], [4, 5, 6], [7, 8, 9]], determine the rank and nullity.

💡 Hint: Check the relationship between row operations and linear dependence.

Question 2

For a 5x4 matrix with 3 non-zero rows, what can you conclude about its nullity?

💡 Hint: Use the Rank-Nullity theorem to find the answer.

Challenge and get performance evaluation