Use app×
Join Bloom Tuition
One on One Online Tuition
JEE MAIN 2025 Foundation Course
NEET 2025 Foundation Course
CLASS 12 FOUNDATION COURSE
CLASS 10 FOUNDATION COURSE
CLASS 9 FOUNDATION COURSE
CLASS 8 FOUNDATION COURSE
0 votes
648 views
in Algebra by (238k points)
closed by
Consider the linear transformation T : R4 → R4 given by T(x, y, z, u) = (x, y, 0, 0) ∀ (x, y, z, u) ∈ R4. Then which one of the following is correct?
1. Rank of T > Nullity of T
2. Rank of T < Nullity of T
3. Rank of T = Nullity of T = 3
4. Rank of T = Nullity of T = 2

1 Answer

0 votes
by (240k points)
selected by
 
Best answer
Correct Answer - Option 4 : Rank of T = Nullity of T = 2

Concept:

Let V and W be a vector space over F and T: V → W is a linear transformation then null space of T is given by Ker T = {v ∈ V | T(v) = 0 where 0 ∈ W}

So, the nullity of T is the dimension of the null space of T.

Range space of T is given by R(T) = {w ∈ W| T(v) = w fo v ∈ V} and Rank of T is the dimension of R(T)

Rank - Nullity Theorem:

Let T be a linear transformation from V to W i.e T: V → W and V is a finite-dimensional vector space then Rank (T) + Nullity (T) = dim V

Analysis:

Given:

T : R4 → R4

T(x, y, z, u) = (x, y, 0, 0)

Let us first find the dimension of null space (nullty)

Null space of T = kernel of T (ker T)

Ker T = { v V | T(v) = 0}

Ker T = (0, 0, 0, 0) = (x, y, 0, 0)

x = 0, y = 0

The dimension of Ker T = dimension of basis of Ker T = 2

Nullity = 2

dim (V) = 4

4 = Nullity + Rank (T)

Rank (T)  = 4 – 2 = 2

Welcome to Sarthaks eConnect: A unique platform where students can interact with teachers/experts/students to get solutions to their queries. Students (upto class 10+2) preparing for All Government Exams, CBSE Board Exam, ICSE Board Exam, State Board Exam, JEE (Mains+Advance) and NEET can ask questions from any subject and get quick answers by subject teachers/ experts/mentors/students.

...