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Linear Algebra

Seymour Lipschutz, Marc Lipson

Chapter 13

Linear Operators on Inner Product Spaces - all with Video Answers

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Chapter Questions

03:17

Problem 1

Find the adjoint of $F: \mathbf{R}^{3} \rightarrow \mathbf{R}^{3}$ defined by
$$F(x, y, z)=(3 x+4 y-5 z, 2 x-6 y+7 z, 5 x-9 y+z)$$

Andrija Isakov
Andrija Isakov
Numerade Educator
04:19

Problem 2

Find the adjoint of $G: \mathbf{C}^{3} \rightarrow \mathbf{C}^{3}$ defined by
G(x, y, z)=[2 x+(1-i) y, \quad(3+2 i) x-4 i z, \quad 2 i x+(4-3 i) y-3 z]

Andrija Isakov
Andrija Isakov
Numerade Educator
07:24

Problem 3

Prove Theorem 13.3: Let $\phi$ be a linear functional on an $n$ -dimensional inner product space $V$ Then there exists a unique vector $u \in V$ such that $\phi(v)=\langle v, u\rangle$ for every $v \in V$

ET
Ed Tam
Numerade Educator
11:36

Problem 4

Prove Theorem 13.1: Let $T$ be a linear operator on an $n$ -dimensional inner product space $V$. Then
(a) There exists a unique linear operator $T^{*}$ on $V$ such that
$$\langle T(u), v\rangle=\left\langle u, T^{*}(v)\right\rangle \quad \text { for all } u, v \in V$$
(b) Let $A$ be the matrix that represents $T$ relative to an orthonormal basis $S=\left\{u_{i}\right\} .$ Then the conjugate transpose $A^{*}$ of $A$ represents $T^{*}$ in the basis $S$

ET
Ed Tam
Numerade Educator
10:08

Problem 5

Prove Theorem 13.2:
(i) $\quad\left(T_{1}+T_{2}\right)^{*}=T_{1}^{*}+T_{2}^{*}$
(iii) $\quad\left(T_{1} T_{2}\right)^{*}=T_{2}^{*} T_{1}^{*}$
(ii) $\quad(k T)^{*}=\bar{k} T^{*}$
(iv) $\quad\left(T^{*}\right)^{*}=T$

ET
Ed Tam
Numerade Educator
04:16

Problem 6

Show that $(\mathrm{a}) \quad I^{*}=I,$ and $(\mathrm{b}) \quad 0^{*}=0$

Andrija Isakov
Andrija Isakov
Numerade Educator
01:56

Problem 7

Suppose $T$ is invertible. Show that $\left(T^{-1}\right)^{*}=\left(T^{*}\right)^{-1}$

ET
Ed Tam
Numerade Educator
02:37

Problem 8

Let $T$ be a linear operator on $V$, and let $W$ be a $T$ -invariant subspace of $V$. Show that $W^{\perp}$ is invariant under $T^{*}$

ET
Ed Tam
Numerade Educator
02:37

Problem 9

Let $T$ be a linear operator on $V$. Show that each of the following conditions implies $T=0$ :
(i) $\langle T(u), v\rangle=0$ for every $u, v \in V$
(ii) $\quad V$ is a complex space, and $\langle T(u), u\rangle=0$ for every $u \in V$
(iii) $T$ is self-adjoint and $\langle T(u), u\rangle=0$ for every $u \in V$

ET
Ed Tam
Numerade Educator
07:32

Problem 10

Prove Theorem 13.6: The following conditions on an operator $U$ are equivalent:
(i) $U^{*}=U^{-1} ;$ that is, $U$ is unitary.
(ii) $\langle U(v), U(w)\rangle=\langle u, w\rangle$
(iii) $\|U(v)\|=\|v\|$

Andrew Misseldine
Andrew Misseldine
Numerade Educator
04:39

Problem 11

Let $U$ be a unitary (orthogonal) operator on $V$, and let $W$ be a subspace invariant under $U$. Show that $W^{\perp}$ is also invariant under $U$

ET
Ed Tam
Numerade Educator
04:34

Problem 12

Prove Theorem 13.9: The change-of-basis matrix from an orthonormal basis $\left\{u_{1}, \ldots, u_{n}\right\}$ into another orthonormal basis is unitary (orthogonal). Conversely, if $P=\left[a_{i j}\right]$ is a unitary (orthogonal) matrix, then the vectors $u_{i^{\prime}}=\sum_{j} a_{j i} u_{j}$ form an orthonormal basis.

Chris Trentman
Chris Trentman
Numerade Educator
01:44

Problem 13

Let $T$ be a symmetric operator. Show that (a) The characteristic polynomial $\Delta(t)$ of $T$ is a product of linear polynomials (over $\mathbf{R}$ ); (b) $T$ has a nonzero eigenvector.

Nick Johnson
Nick Johnson
Numerade Educator
02:51

Problem 14

Prove Theorem 13.11: Let $T$ be a symmetric operator on a real $n$ -dimensional inner product space $V$. Then there exists an orthonormal basis of $V$ consisting of eigenvectors of $T$. (Hence, $T$ can be represented by a diagonal matrix relative to an orthonormal basis.)

Nick Johnson
Nick Johnson
Numerade Educator
02:04

Problem 15

Let $q(x, y)=3 x^{2}-6 x y+11 y^{2} .$ Find an orthonormal change of coordinates (linear substitution) that diagonalizes the quadratic form $q$

Nick Johnson
Nick Johnson
Numerade Educator
02:51

Problem 16

Prove Theorem 13.12: Let $T$ be an orthogonal operator on a real inner product space $V$. Then there exists an orthonormal basis of $V$ in which $T$ is represented by a block diagonal matrix $M$ of the form
\[
M=\operatorname{diag}\left(1, \ldots, 1,-1, \ldots,-1,\left[\begin{array}{cc}
\cos \theta_{1} & -\sin \theta_{1} \\
\sin \theta_{1} & \cos \theta_{1}
\end{array}\right], \ldots,\left[\begin{array}{cc}
\cos \theta_{r} & -\sin \theta_{r} \\
\sin \theta_{r} & \cos \theta_{r}
\end{array}\right]\right)
\]

Nick Johnson
Nick Johnson
Numerade Educator
04:59

Problem 17

Determine which of the following matrices is normal:
(a) $A=\left[\begin{array}{ll}1 & i \\ 0 & 1\end{array}\right]$
(b) $\quad B=\left[\begin{array}{cc}1 & i \\ 1 & 2+i\end{array}\right]$

Andrija Isakov
Andrija Isakov
Numerade Educator
11:54

Problem 18

Let $T$ be a normal operator. Prove the following:
(b) $\quad T-\lambda I$ is normal.
(a) $T(v)=0$ if and only if $T^{*}(v)=0$
(c) If $T(v)=\lambda v,$ then $T^{*}(v)=\bar{\lambda} v ;$ hence, any eigenvector of $T$ is also an eigenvector of $T^{*}$
(d) $\operatorname{If} T(v)=\lambda_{1} v$ and $T(w)=\lambda_{2} w$ where $\lambda_{1} \neq \lambda_{2},$ then $\langle v, w\rangle=0 ;$ that is, cigenvectors of $T$ belonging to distinct eigenvalues are orthogonal.

Oswaldo Jiménez
Oswaldo Jiménez
Numerade Educator
03:10

Problem 20

Prove Theorem 13.14 : Let $T$ be any operator on a complex finite-dimensional inner product space $V .$ Then $T$ can be represented by a triangular matrix relative to an orthonormal basis of $V$

Nick Johnson
Nick Johnson
Numerade Educator
01:57

Problem 21

Prove Theorem $13.10 \mathrm{B}:$ The following are equivalent:
(i) $\quad P=T^{2}$ for some self-adjoint operator $T$
(ii) $\quad P=S^{*} S$ for some operator $S ;$ that is, $P$ is positive.
(iii) $P$ is self-adjoint and $\langle P(u), u\rangle \geq 0$ for every $u \in V$

Nick Johnson
Nick Johnson
Numerade Educator
03:02

Problem 22

Show that any operator $T$ is the sum of a self-adjoint operator and a skew-adjoint operator.

ET
Ed Tam
Numerade Educator
02:15

Problem 23

Prove: Let $T$ be an arbitrary linear operator on a finite-dimensional inner product space $V$. Then $T$ is a product of a unitary (orthogonal) operator $U$ and a unique positive operator $P$; that is, $T=U P .$ Furthermorc, if $T$ is invertible, then $U$ is also uniquely determined.

Nick Johnson
Nick Johnson
Numerade Educator
02:13

Problem 24

Let $V$ be the vector space of polynomials over $\mathbf{R}$ with inner product defined by
$$\langle f, g\rangle=\int_{0}^{1} f(t) g(t) d t$$
Give an example of a linear functional $\phi$ on $V$ for which Theorem 13.3 does not hold-that is, for which there is no polynomial $h(t)$ such that $\phi(f)=\langle f, h\rangle$ for every $f \in V$.

Nick Johnson
Nick Johnson
Numerade Educator
02:46

Problem 25

Find the adjoint of:
(a) $A=\left[\begin{array}{ll}5-2 i & 3+7 i \\ 4-6 i & 8+3 i\end{array}\right]$
(b) $\quad B=\left[\begin{array}{rr}3 & 5 i \\ i & -2 i\end{array}\right]$
(c) $C=\left[\begin{array}{ll}1 & 1 \\ 2 & 3\end{array}\right]$

ET
Ed Tam
Numerade Educator
02:10

Problem 26

Let $T: \mathbf{R}^{3} \rightarrow \mathbf{R}^{3}$ be defined by $T(x, y, z)=(x+2 y, 3 x-4 z, y) .$ Find $T^{*}(x, y, z)$

Andrija Isakov
Andrija Isakov
Numerade Educator
02:46

Problem 27

Let $T: \mathbf{C}^{3} \rightarrow \mathbf{C}^{3}$ be defined by $T(x, y, z)=[i x+(2+3 i) y, \quad 3 x+(3-i) z, \quad(2-5 i) y+i z]$ Find $T^{*}(x, y, z)$

Andrija Isakov
Andrija Isakov
Numerade Educator
01:23

Problem 28

For each linear function $\phi$ on $V$, find $u \in V$ such that $\phi(v)=\langle v, u\rangle$ for every $v \in V$
(a) $\quad \phi: \mathbf{R}^{3} \rightarrow \mathbf{R}$ defined by $\phi(x, y, z)=x+2 y-3 z$
(b) $\phi: \mathbf{C}^{3} \rightarrow \mathbf{C}$ defined by $\phi(x, y, z)=i x+(2+3 i) y+(1-2 i) z$

Nick Johnson
Nick Johnson
Numerade Educator
03:21

Problem 29

Suppose $V$ has finite dimension. Prove that the image of $T^{*}$ is the orthogonal complement of the kernel of $T ;$ that is, $\operatorname{Im} T^{*}=(\text { Ker } T)^{\perp} .$ Hence, $\operatorname{rank}(T)=\operatorname{rank}\left(T^{*}\right)$

Nick Johnson
Nick Johnson
Numerade Educator
04:47

Problem 30

Show that $T^{*} T=0$ implies $T=0$

Scott Stetson
Scott Stetson
Numerade Educator
02:38

Problem 31

Let $V$ be the vector space of polynomials over $\mathbf{R}$ with inner product defined by $\langle f, g\rangle=\int_{0}^{1} f(t) g(t) d t .$ Let D be the derivative operator on $V ;$ that is, $\mathbf{D}(f)=d f / d t .$ Show that there is no operator $\mathbf{D}^{*}$ on $V$ such that $\langle\mathbf{D}(f), g\rangle=\left\langle f, \mathbf{D}^{*}(g)\right\rangle$ for every $f, g \in V .$ That is, $\mathbf{D}$ has no adjoint.

Nick Johnson
Nick Johnson
Numerade Educator
02:49

Problem 32

Unitary and Orthogonal Operators and Matrices
Find a unitary (orthogonal) matrix whose first row is
(a) $\quad(2 / \sqrt{13}, 3 / \sqrt{13})$
(b) a multiple of $(1,1-i)$
(c) a multiple of $(1,-i, 1-i)$

Nick Johnson
Nick Johnson
Numerade Educator
02:48

Problem 33

Prove that the products and inverses of orthogonal matrices are orthogonal. (Thus, the orthogonal matrices form a group under multiplication, called the orthogonal group.)

ET
Ed Tam
Numerade Educator
02:53

Problem 34

Prove that the products and inverses of unitary matrices are unitary. (Thus, the unitary matrices form a group under multiplication, called the unitary group.)

ET
Ed Tam
Numerade Educator
11:21

Problem 35

Show that if an orthogonal (unitary) matrix is triangular, then it is diagonal.

Mengchun Cai
Mengchun Cai
Numerade Educator
02:10

Problem 36

Recall that the complex matrices $A$ and $B$ are unitarily equivalent if there exists a unitary matrix $P$ such that $B=P^{*} A P .$ Show that this relation is an equivalence relation.

Nick Johnson
Nick Johnson
Numerade Educator
01:52

Problem 37

Recall that the real matrices $A$ and $B$ are orthogonally equivalent if there exists an orthogonal matrix $P$ such that $B=P^{T} A P .$ Show that this relation is an cquivalence relation.

Hoan Nguyen
Hoan Nguyen
Numerade Educator
02:03

Problem 38

Let $W$ be a subspace of $V$. For any $v \in V$, let $v=w+w^{\prime}$, where $w \in W, w^{\prime} \in W^{\perp}$. (Such a sum is unique because $V=W \oplus W^{\perp}$.) Let $T: V \rightarrow V$ be defined by $T(v)=w-w^{\prime} .$ Show that $T$ is self-adjoint unitary operator on $V$

Nick Johnson
Nick Johnson
Numerade Educator
01:28

Problem 39

Let $V$ be an inner product space, and suppose $U: V \rightarrow V$ (not assumed linear) is surjective (onto) and preserves inner products; that is, $\langle U(v), U(w)\rangle=\langle u, w\rangle$ for every $v, w \in V .$ Prove that $U$ is linear and hence unitary.

Nick Johnson
Nick Johnson
Numerade Educator
01:47

Problem 40

Show that the sum of two positive (positive definite) operators is positive (positive definite).

ET
Ed Tam
Numerade Educator
01:58

Problem 41

Let $T$ be a linear operator on $V$ and $\operatorname{lct} f: V \times V \rightarrow K$ be defined by $f(u, v)=\langle T(u), v\rangle .$ Show that $f$ is an inner product on $V$ if and only if $T$ is positive definite.

Nick Johnson
Nick Johnson
Numerade Educator
02:14

Problem 42

Suppose $E$ is an orthogonal projection onto some subspace $W$ of $V$. Prove that $k I+E$ is positive (positive definite) if $k \geq 0(k>0)$

Nick Johnson
Nick Johnson
Numerade Educator
03:06

Problem 43

Consider the operator $T$ defined by $T\left(u_{i}\right)=\sqrt{\lambda_{i}} u_{i}, i=1, \ldots, n,$ in the proof of Theorem 13.10 A. Show that $T$ is positive and that it is the only positive operator for which $T^{2}=P$

Nick Johnson
Nick Johnson
Numerade Educator
01:36

Problem 44

Suppose $P$ is both positive and unitary. Prove that $P=I$

Nick Johnson
Nick Johnson
Numerade Educator
08:07

Problem 45

Detcrmine which of the following matrices are positive (positive definitc):
(i) $\left[\begin{array}{ll}1 & 1 \\ 1 & 1\end{array}\right],(\text { ii })\left[\begin{array}{rr}0 & i \\ -i & 0\end{array}\right],$ (iii) $\left[\begin{array}{rr}0 & 1 \\ -1 & 0\end{array}\right],$ (iv) $\left[\begin{array}{ll}1 & 1 \\ 0 & 1\end{array}\right],\left(\begin{array}{ll}v & 1 \\ 1 & 2\end{array}\right],$ (vi) $\left[\begin{array}{ll}1 & 2 \\ 2 & 1\end{array}\right]$

ET
Ed Tam
Numerade Educator
04:42

Problem 46

Prove that a $2 \times 2$ complex matrix $A=\left[\begin{array}{ll}a & b \\ c & d\end{array}\right]$ is positive if and only if $(\mathrm{i}) A=A^{*},$ and (ii) $a, d$ and $|A|=a d-b c$ are nonnegative real numbers.

Elham Kordzadeh
Elham Kordzadeh
Numerade Educator
03:08

Problem 47

Prove that a diagonal matrix $A$ is positive (positive definite) if and only if every diagonal entry is a nonnegative (positive) real number.

ET
Ed Tam
Numerade Educator
00:55

Problem 48

For any operator $T,$ show that $T+T^{* *}$ is self-adjoint and $T-T^{*}$ is skew-adjoint

Hoan Nguyen
Hoan Nguyen
Numerade Educator
01:57

Problem 49

Suppose $T$ is self-adjoint. Show that $T^{2}(v)=0$ implies $T(v)=0 .$ Using this to prove that $T^{n}(v)=0$ also implics that $T(v)=0$ for $n>0$

Nick Johnson
Nick Johnson
Numerade Educator
02:02

Problem 50

Let $V$ be a complex inner product space. Suppose $\langle T(v), v\rangle$ is real for every $v \in V$. Show that $T$ is selfadjoint.

Nick Johnson
Nick Johnson
Numerade Educator
02:07

Problem 51

Suppose $T_{1}$ and $T_{2}$ are self-adjoint. Show that $T_{1} T_{2}$ is self-adjoint if and only if $T_{1}$ and $T_{1}$ commute; that is, $T_{1} T_{2}=T_{2} T_{1}$

ET
Ed Tam
Numerade Educator
02:32

Problem 52

For each of the following symmetric matrices $A,$ find an orthogonal matrix $P$ and a diagonal matrix $D$ such that $P^{\prime} A P$ is diagonal:
(a) $A=\left[\begin{array}{rr}1 & 2 \\ 2 & -2\end{array}\right]$
(b) $A=\left[\begin{array}{rr}5 & 4 \\ 4 & -1\end{array}\right]$
(c) $A=\left[\begin{array}{rr}7 & 3 \\ 3 & -1\end{array}\right]$

Nick Johnson
Nick Johnson
Numerade Educator
View

Problem 53

Find an orthogonal change of coordinates $X=P X^{\prime}$ that diagonalizes each of the following quadratic forms and find the corrcsponding diagonal quadratic form $q\left(x^{\prime}\right)$
(a) $q(x, y)=2 x^{2}-6 x y+10 y^{2}$
(b) $q(x, y)=x^{2}+8 x y-5 y^{2}$
(c) $q(x, y, z)=2 x^{2}-4 x y+5 y^{2}+2 x z-4 y z+2 z^{2}$

Victor Salazar
Victor Salazar
Numerade Educator
03:34

Problem 54

$\operatorname{Let} A=\left[\begin{array}{ll}2 & i \\ i & 2\end{array}\right] .$ Verify that $A$ is normal. Find a unitary matrix $P$ such that $P^{*} A P$ is diagonal. Find $P^{*} A P$

Nick Johnson
Nick Johnson
Numerade Educator
00:56

Problem 55

Show that a triangular matrix is normal if and only if it is diagonal.

Nick Johnson
Nick Johnson
Numerade Educator
02:20

Problem 56

Prove that if $T$ is normal on $V$, then $\|T(v)\|=\left\|T^{*}(v)\right\|$ for every $v \in V$. Prove that the converse holds in complex inner product spaces.

Nick Johnson
Nick Johnson
Numerade Educator
03:34

Problem 57

Show that self-adjoint, skew-adjoint, and unitary (orthogonal) operators are normal.

ET
Ed Tam
Numerade Educator
11:54

Problem 58

Suppose $T$ is normal. Prove that
(a) $T$ is self-adjoint if and only if its eigenvalues are real.
(b) $T$ is unitary if and only if its eigenvalues have absolute value 1
(c) $T$ is positive if and only if its eigenvalues are nonnegative real numbers.

Oswaldo Jiménez
Oswaldo Jiménez
Numerade Educator
01:54

Problem 59

Show that if $T$ is normal, then $T$ and $T^{*}$ have the same kernel and the same image.

Nick Johnson
Nick Johnson
Numerade Educator
01:13

Problem 60

Suppose $T_{1}$ and $T_{2}$ are normal and commute. Show that $T_{1}+T_{2}$ and $T_{1} T_{2}$ are also normal.

Hoan Nguyen
Hoan Nguyen
Numerade Educator
01:01

Problem 61

Suppose $T_{1}$ is normal and commutes with $T_{2}$. Show that $T_{1}$ also commutes with $T_{2}^{\text {? }}$

Nick Johnson
Nick Johnson
Numerade Educator
02:51

Problem 63

Prove the following: Let $T_{1}$ and $T_{2}$ be normal operators on a complex finite-dimensional vector space $V$ Then there exists an orthonormal basis of $V$ consisting of cigenvectors of both $T_{1}$ and $T_{2}$. (That is, $T_{1}$ and $T_{2}$ can be simultaneously diagonalized.)

Nick Johnson
Nick Johnson
Numerade Educator
01:39

Problem 64

Show that inner product spaces $V$ and $W$ over $K$ are isomorphic if and only if $V$ and $W$ have the same dimension.

Nick Johnson
Nick Johnson
Numerade Educator
01:18

Problem 65

Show that inner product spaces $V$ and $W$ over $K$ are isomorphic if and only if $V$ and $W$ have the same dimension.

Hoan Nguyen
Hoan Nguyen
Numerade Educator
07:24

Problem 66

Let $V$ be an inner product space. Recall that each $u \in V$ determines a linear functional $\hat{u}$ in the dual space $V^{*}$ by the definition $\hat{u}(v)=\langle v, u\rangle$ for every $v \in V$. (See the text immediately preceding Theorem 13.3 .) Show that the map $u \mapsto \hat{u}$ is linear and nonsingular, and hence an isomorphism from $V$ onto $V^{*}$

ET
Ed Tam
Numerade Educator
01:04

Problem 67

Suppose $\left\{u_{1}, \ldots, u_{n}\right\}$ is an orthonormal basis of $V,$ Prove
(a) $\quad\left\langle a_{1} u_{1}+a_{2} u_{2}+\cdots+a_{n} u_{n}, \quad b_{1} u_{1}+b_{2} u_{2}+\cdots+b_{n} u_{n}\right\rangle=a_{1} \bar{b}_{1}+a_{2} \bar{b}_{2}+\ldots \bar{a}_{n} \bar{b}_{n}$
(b) Let $A=\left[a_{y}\right]$ be the matrix representing $T: V \rightarrow V$ in the basis $\left\{u_{i}\right\} .$ Then $a_{i j}=\left\langle T\left(u_{i}\right), u_{j}\right\rangle$

Victor Salazar
Victor Salazar
Numerade Educator
02:43

Problem 68

Show that there exists an orthonormal basis $\left\{u_{1}, \ldots, u_{n}\right\}$ of $V$ consisting of eigenvectors of $T$ if and only if there exist orthogonal projections $E_{1}, \ldots, E_{r}$ and scalars $\lambda_{1}, \ldots, \lambda_{r}$ such that
(i) $T=\lambda_{1} E_{1}+\cdots+\lambda_{r} E_{r}$
(ii) $\quad E_{1}+\cdots+E_{r}=I$
(iii) $\quad E_{i} E_{j}=0 \quad$ for $\quad i \neq j$

Nick Johnson
Nick Johnson
Numerade Educator
01:14

Problem 69

Suppose $V=U \oplus W$ and suppose $T_{1}: U \rightarrow V$ and $T_{2}: W \rightarrow V$ are linear. Show that $T=T_{1} \oplus T_{2}$ is also linear. Here $T$ is defined as follows: If $v \in V$ and $v=u+w$ where $u \in U, w \in W,$ then
$$T(v)=T_{1}(u)+T_{2}(w)$$

Hoan Nguyen
Hoan Nguyen
Numerade Educator