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Inner Product Spaces Questions and Answers

1.

Let \(\langle \cdot, \cdot \rangle\) denote the standard inner product on \(\mathbb{R}^{7}\). Let \(\Sigma = \{v_{1}, \ldots, v_{5}\} \subseteq \mathbb{R}^{7}\) be a set of unit vectors such that \(\langle v_{i}, v_{j} \rangle\) is a non-positive integer for all \(1 \le i \neq j \le 5\). Define \(N(\Sigma)\) to be the number of pairs \((r, s)\), \(1 \le r, s \le 5\), such that \(\langle v_{r}, v_{s} \rangle \neq 0\). The maximum possible value of \(N(\Sigma)\) is equal to

Exam Year(s)

GATE Mathematics - 2024,

Answer: A

The maximum value is 9.

For unit vectors, \(|\langle v_{i}, v_{j}\rangle| \le 1\), so a non-positive integer inner product is 0 or -1, and -1 happens only when \(v_{j} = -v_{i}\).

Each vector can have at most one antipode in \(\Sigma\): if \(v_{2} = -v_{1}\) and \(v_{3} = -v_{1}\), then \(v_{2} = v_{3}\), which is not allowed in a set of five distinct elements (and would give inner product 1). So the five vectors form at most two antipodal pairs plus one more vector.

The ordered pairs \((r, s)\) with non-zero inner product are the five diagonal pairs \((r, r)\), with value 1, plus 2 ordered pairs for each antipodal pair: \(5 + 2 \times 2 = 9\). This is attained in \(\mathbb{R}^{7}\) by \(\pm e_{1}, \pm e_{2}, e_{3}\). 10 and 14 are not attainable, and 5 ignores the antipodal pairs.

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2.

Let \(P = \begin{pmatrix} 1 & 0 & 0 \\ 0 & 9 & 0 \\ 0 & 0 & 16 \end{pmatrix}\). Define an inner product on \(\mathbb{R}^3\) with respect to P as

\[ \langle x, y \rangle_P = x^{\top} P y, \]

for all \(x, y \in \mathbb{R}^3\).

Consider the subspace V = span { \(\begin{pmatrix}1\\0\\0\end{pmatrix}\), \(\begin{pmatrix}1\\1\\1\end{pmatrix}\) }. Which one of the following sets is an orthonormal basis of V with respect to \(\langle x, y \rangle_P\)?

Exam Year(s)

GATE Mathematics - 2026,

Answer: C

The orthonormal basis is \(\{(1, 0, 0)^{\top}, (0, \frac{1}{5}, \frac{1}{5})^{\top}\}\).

Apply Gram-Schmidt with \(\langle x, y \rangle_P = x_1 y_1 + 9x_2 y_2 + 16 x_3 y_3\). First, \(e_1 = (1,0,0)^{\top}\) has \(\langle e_1, e_1 \rangle_P = 1\), so it is already a unit vector. Next remove the component of \(v = (1,1,1)^{\top}\) along \(e_1\):

\[ \begin{aligned} \langle v, e_1 \rangle_P &= 1 \\ w = v - e_1 &= (0, 1, 1)^{\top} \\ \langle w, w \rangle_P &= 9 + 16 = 25 \end{aligned} \]

so \(w\) has length 5 and the unit vector is \((0, \frac{1}{5}, \frac{1}{5})^{\top}\).

\((0,1,1)^{\top}\) is orthogonal to \(e_1\) but has length 5, and \((0, \frac{1}{\sqrt{2}}, \frac{1}{\sqrt{2}})^{\top}\) is normalised in the ordinary dot product, not in this one. \((0,1,0)^{\top}\) does not even lie in V.

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