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Exam (elaborations)

Metrics, Norms, Inner Products, and Operator Theory – Solutions to Problems (2021 Edition) – Heil

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INSTANT PDF DOWNLOAD – Complete Solutions Manual for Metrics, Norms, Inner Products, and Operator Theory (2021 Edition) by Christopher Heil. Covers all 8 chapters with detailed, step-by-step solutions to core exercises in functional analysis and linear algebra. Ideal for mathematics, physics, and engineering students mastering Hilbert spaces, metric spaces, and operator theory. Provides clear proofs, logical derivations, and problem explanations for advanced understanding of abstract mathematical structures. metrics norms inner products solutions manual, christopher heil pdf, operator theory textbook, functional analysis problems, hilbert spaces solutions, linear algebra advanced pdf, metric spaces exercises, birkhäuser mathematics pdf, analysis and topology manual, vector spaces solutions, applied mathematical analysis, inner product space problems, mathematical theory workbook, abstract algebra pdf, operator equations solved, numerical harmonic analysis, advanced math methods guide, pure mathematics textbook, applied linear algebra solutions, heil metrics norms manual, academic hub solutions, graduate math solutions

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ALL 8 CHAPTERS COVERED




Solutions to Problems

,Christopher Heil




Metrics, Norms, Inner Products
and Operator Theory


Solutions to Selected Problems



November 9, 2018




c 2018 by Christopher Heil

,Solutions c 2018 Christopher Heil 1

Solutions to Problems

These are my solutions to the exercises from my text “Metrics, Norms, Inner
Products, and Operator Theory.” Of course, many problems have solutions
other than the ones I sketch here (in particular, there could very well be easier
solutions than the ones I give). These solutions have not been proofread as
carefully as has the text proper, so the probability of errors is correspondingly
higher. Please send comments and corrections to “”.
S
1.2.2 If x ∈ lim sup Ek , then x belongs to ∞ k=j Ek for every j ∈ N. Therefore,
for each j, there must exist some k ≥ j such that x ∈ Ek . If x belonged
to only finitely many Ek , then this couldn’t happen, so x must belong to
infinitely many of the set Ek . This reasoning is reversible, so we conclude
that lim sup Ek precisely consists of the points that lie in infinitely many
T Ek .
If x ∈ lim inf Ek , then there is some j such that x belongs to ∞ k=j k .
E
Hence for that j we have x ∈ Ek for every k ≥ j. Again, this reasoning is
reversible.
1.3.2 If x ∈ f −1 (B C ), then f (x) ∈ B C . Therefore f (x) ∈ Y but f (x) ∈
/ B, so
x∈ / f −1 (B). Therefore x ∈ f −1 (B)C . This shows that f −1 (B C ) ⊆ f −1 (B)C .
For the other inclusion, suppose that x ∈ f −1 (B)C . Then x ∈ X but
x∈ / f −1 (B). Therefore f (x) ∈ / B, so f (x) ∈ B C . Hence x ∈ f −1 (B C ). This
shows that f (B) ⊆ f (B C ).
−1 C −1

The other equalities are proved similarly.
To show that f (f −1 (B)) ⊆ B, suppose that y ∈ f (f −1 (B). Then, by
definition of direct image, there exists a point x ∈ f −1 (B) such that f (x) =
y. By definition of inverse image, the fact that x ∈ f −1 (B) implies that
f (x) ∈ B. Hence y = f (x) ∈ B. This shows that f (f −1 (B)) ⊆ B.
Assume in addition now that f is surjective, and choose any point y ∈ B.
Since f is surjective, there is some x ∈ X such that f (x) = y. By definition
of the inverse image, we have x ∈ f −1 (B). Consequently, by definition of the
direct image, y = f (x) ∈ f (f −1 (B)). This shows that B ⊆ f (f −1 (B)). The
converse inclusion was proved above, so equality holds.
Now consider f : N → N defined by f (x) = 2x. Let E be the set of pos-
itive even integers and O the set of odd integers. Then N = f −1 (N), but
f (f −1 (N)) = f (N) = E 6= N. Hence equality need not hold if f is not surjec-
tive.
1.3.3 Unions. Choose any point
 
S
y ∈ f Ai .
i∈I

Then y = f (x) for some x ∈ ∪Ai . Hence x ∈ Ai for some i, so y ∈ f (Ai ) for
that i, so S
y ∈ f (Ai ).
i∈I

, 2 Solutions c 2018 Christopher Heil

Conversely, if S
y ∈ f (Ai ),
i∈I

Then y ∈ f (Ai ) for some i, so there is some point x ∈ Ai such that y = f (x).
Since x ∈ ∪Ai , it follows that
 
S
y ∈ f Ai .
i∈I


Intersections. Choose any point
 
T
y ∈ f Ai .
i∈I

Then y = f (x) for some x ∈ ∩Ai . This point x belongs to every Ai , so
y ∈ f (Ai ) for every i. Therefore
 
T S
f Ai ⊆ f (Ai ).
i∈I i∈I

On the other hand, suppose that f is injective and choose any point
S
y ∈ f (Ai ).
i∈I

Then y ∈ f (Ai ) for every i, so for each i there exists some point xi ∈ Ai such
that f (xi ) = y. However, since f is injective there is a unique point x such
that f (x) = y. Therefore we must have xi = x for every i. Hence y = f (x)
and x = xi ∈ Ai , so y ∈ f (Ai ) for every i. Therefore, for injective functions
we have  
S T
f (Ai ) ⊆ f Ai .
i∈I i∈I

However, if f is not injective then the preceding inclusion need not hold.
For example, define f : R → R by f (x) = |x|. Then

f [−2, 1] ∩ [−1, 2] = f [−1, 1] = [0, 1],

while
f [−2, 1] ∩ f [−1, 2] = [0, 2] ∩ [0, 2] = [0, 2].

Complements. Choose any point y ∈ f (X)\f (A). Then y = f (x) where
x ∈ X, but y 6= f (z) for any z ∈ A. If we had x ∈ A, then we would have
y = f (x) with x ∈ A, which is a contradiction. Therefore x ∈
/ A, so we have
y = f (x) where x ∈ AC . Thus y ∈ f (AC ). Therefore

f (X)\f (A) ⊆ f (AC ).

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