Practice Matrix Representation - 21.14.2 | 21. Linear Algebra | 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.

21.14.2 - Matrix Representation

Enroll to start learning

You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Define the kernel of a linear transformation.

💡 Hint: Think about what happens when you apply T to some vectors.

Question 2

Easy

What is the range of a linear transformation?

💡 Hint: Consider all possible images that can be created from a set of inputs.

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 kernel of a linear transformation?

💡 Hint: Think about what inputs give zero outputs in the transformation.

Question 2

True or False: The range of a linear transformation can be larger than the codomain.

  • True
  • False

💡 Hint: Consider the relationship between outputs and the broader space.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given the matrix A = [[1, 2], [3, 4]], analyze the kernel and range. Determine if the transformation is injective.

💡 Hint: Consider both null space and image through operations on matrix A.

Question 2

If the transformation T represented by a 4x3 matrix has a kernel dimension of 1, what is the maximum rank of this transformation?

💡 Hint: Apply the theorem to deduce the rank from given dimensions.

Challenge and get performance evaluation