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Vector Spaces and Subspaces Questions and Answers

1.

Let

\[ \begin{aligned} S = \Big\{ w &= \begin{bmatrix} w_{1} \\ w_{2} \\ w_{3} \end{bmatrix} \in \mathbb{R}^{3} : \begin{bmatrix} 1 \\ -3 \\ 2 \end{bmatrix} \begin{bmatrix} w_{1} & w_{2} & w_{3} \end{bmatrix} \\ &\text{is diagonalizable and } \|w\| = 1 \Big\}, \end{aligned} \]

where \(\|w\| = (w_{1}^{2} + w_{2}^{2} + w_{3}^{2})^{1/2}\). Then, which one of the following is TRUE?

Exam Year(s)

GATE Mathematics - 2025,

Answer: B

S is neither compact nor connected.

Write \(v = (1, -3, 2)^{T}\). The matrix \(vw^{T}\) has rank 1, and its only possibly non-zero eigenvalue is its trace, \(w^{T}v = w_{1} - 3w_{2} + 2w_{3}\). A rank-1 matrix is diagonalizable exactly when this trace is non-zero; if it is zero the matrix is nilpotent and not zero, so not diagonalizable.

So S is the unit sphere with the great circle \(w_{1} - 3w_{2} + 2w_{3} = 0\) removed. That leaves two open hemispheres. S is not closed, since points on the removed circle are limits of points of S, so it is not compact; and it falls into two disjoint open pieces, so it is not connected.

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2.

Consider the following subsets of the Euclidean space \(\mathbb{R}^{4}\):

\[ \begin{aligned} S &= \{(x_{1}, x_{2}, x_{3}, x_{4}) \in \mathbb{R}^{4} : \\ &\qquad x_{1}^{2} + x_{2}^{2} + x_{3}^{2} - x_{4}^{2} = 0\}, \\ T &= \{(x_{1}, x_{2}, x_{3}, x_{4}) \in \mathbb{R}^{4} : \\ &\qquad x_{1}^{2} + x_{2}^{2} + x_{3}^{2} - x_{4}^{2} = 1\}, \text{ and} \\ U &= \{(x_{1}, x_{2}, x_{3}, x_{4}) \in \mathbb{R}^{4} : \\ &\qquad x_{1}^{2} + x_{2}^{2} + x_{3}^{2} - x_{4}^{2} = -1\}. \end{aligned} \]

Then, which one of the following is TRUE?

Exam Year(s)

GATE Mathematics - 2025,

Answer: D

S and T are connected, but U is not connected.

Write \(r^{2} = x_{1}^{2} + x_{2}^{2} + x_{3}^{2}\).

  • S: \(x_{4} = \pm r\), a double cone whose two halves meet at the origin, so it is connected (every point joins the origin along a straight segment in S).
  • T: \(r^{2} = 1 + x_{4}^{2}\). For each value of \(x_{4}\) the slice is a 2-sphere of radius \(\sqrt{1 + x_{4}^{2}}\), so T is homeomorphic to \(S^{2} \times \mathbb{R}\), which is connected.
  • U: \(x_{4}^{2} = 1 + r^{2} \ge 1\), so \(x_{4} \ge 1\) or \(x_{4} \le -1\). The two sheets are separated by the slab \(|x_{4}| \lt 1\), so U is not connected.

Every other option misjudges one of these three.

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Answer: A

The quotient is isomorphic to the space of 3 by 3 real skew symmetric matrices.

Finite-dimensional real vector spaces are isomorphic exactly when their dimensions are equal. \(M_3(\mathbb{R})\) has dimension 9 and the upper triangular matrices have dimension 6 (the diagonal and the three entries above it), so

\[ \dim M_3(\mathbb{R})/T_3(\mathbb{R}) = 9 - 6 = 3. \]

Skew symmetric 3 by 3 matrices are fixed by the three entries above a zero diagonal, so they also have dimension 3. Symmetric and lower triangular matrices each have dimension 6, and trace-zero matrices have dimension 8, so none of those is isomorphic to the quotient.

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Answer: C

The true statement is that the polynomials with real coefficients form a Unique Factorization Domain.

\(\mathbb{R}[x]\) is a polynomial ring over a field, hence a Euclidean domain (division with remainder by degree), hence a principal ideal domain and so a UFD. Every nonzero non-unit factors uniquely into irreducibles, which over \(\mathbb{R}\) are linear and irreducible quadratic factors.

The other rings are not even integral domains. \(2 \times 2\) real matrices are not commutative and have zero divisors. Real valued functions on a set with two or more points have zero divisors: a function vanishing on one half times one vanishing on the other is 0. The same construction works for Riemann integrable functions on [0,1].

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5.

Let \(e_1, e_2, e_3, e_4, e_5\) denote the standard basis vectors of the real vector space \(\mathbb{R}^{5}\). Let \(V\) be the subspace of \(\mathbb{R}^{5}\) spanned by the vectors \(e_1 + e_2, e_2 + e_3, e_3 + e_4 + e_5\). Consider the real vector space \(M_{2,5}(\mathbb{R})\). Let

\(S = \{P \in M_{2,5}(\mathbb{R}) \mid \text{nullspace}(P) = V\}\).

Which ONE of the following statements is TRUE?

Exam Year(s)

IIT JAM - 2026,

Answer: C

The TRUE statement is: \(S\) is non-empty and \(S\) is not a subspace of \(M_{2,5}(\mathbb{R})\).

The three spanning vectors are linearly independent, so \(\dim V = 3\). A matrix \(P \in M_{2,5}(\mathbb{R})\) has rank at most 2, so by rank-nullity its null space has dimension \(5 - \text{rank}(P) \geq 3\). It equals \(V\) exactly when \(P\) has rank 2 and its two rows span the orthogonal complement \(V^{\perp}\), which has dimension 2.

Such matrices exist: the rows \((1,-1,1,-1,0)\) and \((1,-1,1,0,-1)\) are independent and orthogonal to all three spanning vectors. So \(S\) is not empty.

The zero matrix is not in \(S\), because its null space is all of \(\mathbb{R}^{5}\), not \(V\). A subspace must contain 0, so \(S\) is not a subspace, and \(S = \{0\}\) is wrong for the same reason. Closure fails too: if \(P \in S\) then \(-P \in S\), but \(P + (-P) = 0 \notin S\).

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