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For each of the following linear operators \(T\) on the vector space \(V\), determine whether the given subspace \(W\) is a \(T\)-invariant subspace of V. (a) \(\mathrm{V}=\mathrm{P}_{3}(R), \mathrm{T}(f(x))=f^{\prime}(x)\), and \(\mathrm{W}=\mathrm{P}_{2}(R)\) (b) \(\mathrm{V}=\mathrm{P}(R), \mathrm{T}(f(x))=x f(x)\), and \(\mathrm{W}=\mathrm{P}_{2}(R)\) (c) \(\mathrm{V}=\mathrm{R}^{3}, \mathrm{~T}(a, b, c)=(a+b+c, a+b+c, a+b+c)\), and \(\mathrm{W}=\\{(t, t, t): t \in R\\}\) (d) $\mathrm{V}=\mathrm{C}([0,1]), \mathrm{T}(f(t))=\left[\int_{0}^{1} f(x) d x\right] t$, and \(\mathrm{W}=\\{f \in \mathrm{V}: f(t)=a t+b\) for some \(a\) and \(b\\}\) (e) $\mathrm{V}=\mathrm{M}_{2 \times 2}(R), \mathrm{T}(A)=\left(\begin{array}{ll}0 & 1 \\ 1 & 0\end{array}\right) A$, and \(\mathrm{W}=\left\\{A \in \mathrm{V}: A^{t}=A\right\\}\)

Short Answer

Expert verified
In summary: (a) W is a T-invariant subspace of V. (b) W is not a T-invariant subspace of V. (c) W is a T-invariant subspace of V. (d) W is a T-invariant subspace of V. (e) W is not a T-invariant subspace of V.

Step by step solution

01

Problem (a)

We have V = P3(R), T(f(x)) = f'(x), and W = P2(R). Let's take an arbitrary polynomial w(x) ∈ W, then w(x) has the form: \(w(x) = ax^2 + bx + c\), where a, b, c are constants. Now apply T to w(x): \(T(w(x)) = w'(x) = 2ax + b\) Since T(w(x)) results in a polynomial of degree at most 1, T(w(x)) still belongs to W. Therefore, W is a T-invariant subspace of V.
02

Problem (b)

We have V = P(R), T(f(x)) = x * f(x), and W = P2(R). Let's take an arbitrary polynomial w(x) ∈ W, then w(x) has the form: \(w(x) = ax^2 + bx + c\), where a, b, c are constants. Now apply T to w(x): \(T(w(x)) = x * w(x) = ax^3 + bx^2 + cx\) Since T(w(x)) results in a polynomial of degree 3, T(w(x)) does not belong to W. Therefore, W is not a T-invariant subspace of V.
03

Problem (c)

We have V = R^3, T(a, b, c) = (a+b+c, a+b+c, a+b+c), and W = {(t, t, t): t ∈ R}. Let's take an arbitrary vector w ∈ W, then w has the form: \(w = (t, t, t)\), where t is a constant. Now apply T to w: \(T(w) = (t+t+t, t+t+t, t+t+t) = (3t, 3t, 3t)\) Since T(w) is still in the form (k, k, k) with k = 3t, T(w) belongs to W. Therefore, W is a T-invariant subspace of V.
04

Problem (d)

We have V = C([0,1]), T(f(t)) = \(\left[\int_{0}^{1} f(x) d x\right] t\), and W = {f ∈ V: f(t) = at + b for some a and b}. Let's take an arbitrary function w ∈ W, then w has the form: \(w(t) = at + b\), where a and b are constants. Now apply T to w(t): \(T(w(t)) = \left[\int_{0}^{1} (at + b) dx\right] t = \left[\frac{a}{2} + b\right] t\) Since T(w(t)) is still in the form (kt) with k = a/2 + b, T(w(t)) belongs to W. Therefore, W is a T-invariant subspace of V.
05

Problem (e)

We have V = M2x2(R), T(A) = \(\left(\begin{array}{ll}0 & 1 \\\ 1 & 0\end{array}\right) A\), and W = {A ∈ V: A^t = A}. Let's take an arbitrary matrix w ∈ W, then w has the form: \(w = \left(\begin{array}{ll}a & b \\\ b & c\end{array}\right)\), where a, b, c are constants. Now apply T to w: \(T(w) = \left(\begin{array}{ll}0 & 1 \\\ 1 & 0\end{array}\right) \left(\begin{array}{ll}a & b \\\ b & c\end{array}\right) = \left(\begin{array}{ll}b & c \\\ a & b\end{array}\right)\) Now we need to check if T(w) is symmetric: \[\left(\begin{array}{ll}b & c \\\ a & b\end{array}\right)^t = \left(\begin{array}{ll}b & a \\\ c & b\end{array}\right)\] Since T(w)^t ≠ T(w), W is not a T-invariant subspace of V.

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Most popular questions from this chapter

Which of the following transition matrices are regular? (a) $\left(\begin{array}{rrr}0.2 & 0.3 & 0.5 \\ 0.3 & 0.2 & 0.5 \\ 0.5 & 0.5 & 0\end{array}\right)$ (b) $\left(\begin{array}{rrr}0.5 & 0 & 1 \\ 0.5 & 0 & 0 \\ 0 & 1 & 0\end{array}\right)$ (c) $\left(\begin{array}{rrr}0.5 & 0 & 0 \\ 0.5 & 0 & 1 \\ 0 & 1 & 0\end{array}\right)$ (d) $\left(\begin{array}{rrr}0.5 & 0 & 1 \\ 0.5 & 1 & 0 \\ 0 & 0 & 0\end{array}\right)$ (e) $\left(\begin{array}{ccc}\frac{1}{3} & 0 & 0 \\ \frac{1}{3} & 1 & 0 \\\ \frac{1}{3} & 0 & 1\end{array}\right)$ (f) $\left(\begin{array}{rrr}1 & 0 & 0 \\ 0 & 0.7 & 0.2 \\ 0 & 0.3 & 0.8\end{array}\right)$ (g) $\left(\begin{array}{cccc}0 & \frac{1}{2} & 0 & 0 \\ \frac{1}{2} & 0 & 0 & 0 \\ \frac{1}{4} & \frac{1}{4} & 1 & 0 \\ \frac{1}{4} & \frac{1}{4} & 0 & 1\end{array}\right)$ (h) $\left(\begin{array}{cccc}\frac{1}{4} & \frac{1}{4} & 0 & 0 \\\ \frac{1}{4} & \frac{1}{4} & 0 & 0 \\ \frac{1}{4} & \frac{1}{4} & 1 & 0 \\\ \frac{1}{4} & \frac{1}{4} & 0 & 1\end{array}\right)$

Show that the following mappings are not linear: (a) \(F: \mathbf{R}^{2} \rightarrow \mathbf{R}^{2}\) defined by \(F(x, y)=(x y, x)\) (b) \(F: \mathbf{R}^{2} \rightarrow \mathbf{R}^{3}\) defined by \(F(x, y)=(x+3,2 y, x+y)\) (c) \(F: \mathbf{R}^{3} \rightarrow \mathbf{R}^{2}\) defined by \(F(x, y, z)=(|x|, y+z)\)

Let \(T\) be a linear operator on a finite-dimensional vector space \(V\). (a) Prove that if the characteristic polynomial of \(T\) splits, then so does the characteristic polynomial of the restriction of \(\mathrm{T}\) to any T-invariant subspace of V. (b) Deduce that if the characteristic polynomial of \(\mathrm{T}\) splits, then any nontrivial \(\mathrm{T}\)-invariant subspace of \(\mathrm{V}\) contains an eigenvector of \(\mathrm{T}\).

Show that the following mappings are not linear: (a) \(F: \mathbf{R}^{2} \rightarrow \mathbf{R}^{2}\) defined by \(F(x, y)=\left(x^{2}, y^{2}\right)\) (b) \(F: \mathbf{R}^{3} \rightarrow \mathbf{R}^{2}\) defined by \(F(x, y, z)=(x+1, y+z)\) (c) \(F: \mathbf{R}^{2} \rightarrow \mathbf{R}^{2}\) defined by \(F(x, y)=(x y, y)\) (d) \(F: \mathbf{R}^{3} \rightarrow \mathbf{R}^{2}\) defined by \(F(x, y, z)=(|x|, y+z)\)

Let \(T\) be a linear operator on a finite-dimensional vector space \(V\) with the distinct eigenvalues \(\lambda_{1}, \lambda_{2}, \ldots, \lambda_{k}\) and corresponding multiplicities \(m_{1}, m_{2}, \ldots, m_{k}\). Suppose that \(\beta\) is a basis for \(\mathrm{V}\) such that \([\mathrm{T}]_{\beta}\) is an upper triangular matrix. Prove that the diagonal entries of \([T]_{\beta}\) are \(\lambda_{1}, \lambda_{2}, \ldots, \lambda_{k}\) and that each \(\lambda_{i}\) occurs \(m_{i}\) times \((1 \leq i \leq k)\).

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