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Solutions to selected problems from math 310 homework 4, covering topics such as limits of sequences, injective, surjective, and bijective functions, and set inclusion. It includes proofs and counterexamples to illustrate key concepts.
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Math 310: Solutions to Homework 4
Suppose A ⊆ Z. Write the following statement entirely in symbols using the quan-
tifiers ∀ and ∃. Write out the negative of this statement in symbols.
There is a greatest number in the set A.
In preparation, first note: An element m is the greatest element in a set of num-
bers A iff it is greater or equal to all the elements of the set. (We can’t use strictly
greater than, because m itself is an element of the set and certainly m 6 > m!)
Statement, in symbols: ∃m ∈ A, ∀a ∈ A, m ≥ a.
Negation of statement: ∀m ∈ A, ∃a ∈ A, m < a.
Give an example of a set A for which this statement is true. Give another ex-
ample for which it is false.
The statement is true for any set A that is finite or bounded above. For example,
A = { 1 , 2 , 3 } has a greatest element (m = 3), and so does the set
− = {− 1. − 2 , − 3 , − 4 , ...} (here m = − 1 ).
The statement is false for any subset of Z which is not bounded above, such as
, or A = { 2 k|k ∈ Z}.
n→∞
n
2
By the formal definition of the limit of a sequence, lim
n→∞
n
2
= 0 if and only if:
, ∀n ≥ N, |
n
2
Let be any positive real number, and let N be some integer greater than
1 √
Then for all n ≥ N >
1 √
we have that
n >
Multiplying both sides of this inequality by
> 0 and dividing by n > 0 , we
obtain:
n
Since both sides of this inequality are positive, squaring both sides preserves the
direction of the inequality:
n
2
i.e. |
n
2
the sequence bn = n
2 does not have limit equal to 0 (that is, bn is NOT what the
book calls a null sequence).
By the formal definition of the limit of a sequence, lim
n→∞
n
2 = 0 iff
, ∀n ≥ N, |n
2 | < ,
and therefore lim
n→∞
n
2
6 = 0 iff
, ∃n ≥ N, |n
2 |>.
First note that for all n ≥ 1 we have n
2 ≥ (n)(1) ≥ 1.
Let = 1. Then |n
2 | = n
2 ≥ 1 = for all n ∈ Z
. This shows that lim
n→∞
n
2 6 = 0. QED.
Determine which of the following functions f i
: R → R are injective, which are
surjective and which are bijective. Write down an inverse of each of the bijec-
tions.
(ii) f 2 (x) = x
3 .
3
1
= x
3
2
. Taking cube root of both
sides, we get x 1
= x 2
. This shows that f 2
is injective.
3
y which is also a real number
and which satisfies f (x) = f (
3
y) = (
3
y)
3 = y. Hence the function is surjective.
has an inverse, f
− 1
2
: R → R, f
− 1
2
(x) =
3
x.
(iii) f 3
(x) = x
3 − x.
= 0 ∈ R and x 2
= 1 ∈ R such that x 1
= x 2
but
f 3 (x 1 ) = f 3 (x 2 ) = 0. This shows that f 3 is not injective.
3 −x is a continuos function on R, with limx→−∞ f 3 (x) =
−∞ and lim x→+∞
f 3
(x) = +∞, by the Intermediate Value Theorem, Im(f 3
That is, f 3 is surjective.
(v) f 5
(x) = e
x .
(x 1
) = f 5
(x 2
), then e
x 1 = e
x 2
. Applying natural log to both
sides of the equality, x 1
= x 2
. This shows that f 5
is injective.
x ∀x ∈ R. That is, f 5
is
not surjective. (In fact, Imf 5
≥ ⊂ R)
Tip: We need to prove a set inclusion, namely that
f (A 1
f (A 2
) (subject to the
hypothesis that A 1 ⊆ A 2 .) So we will start with an arbitrary element y in
f (A 1 ),
and show that y ∈
f (A 2
PROOF: Let y ∈
f (A 1 ). By definition of
f (A 1 ), this means that there exists some
x ∈ A 1
such that y = f (x). But A 1
2
, so x ∈ A 1
⇒ x ∈ A 2
. This shows that
y = f (x) for x ∈ A 2 (y is the image through f of an element in A 2 ), which is
equivalent to saying y ∈
f (A 2
). This proves the desired set inclusion.
The converse is not universally true.
For example, let f : R → R, f (x) = x
2
. Let A 1 = [− 1 , 0] and A 2 = [0, 2]. Then
f (A 1
f ([− 1 , 0]) = [0, 1] and
f (A 2
f ([0, 2]) = [0, 4],
so
f (A 1 ) ⊆
f (A 2 ) holds, but A 1 = [− 1 , 0] 6 ⊆ [0, 2] = A 2.
The converse holds if and only if f is injective
Proof of this was not asked for, but here it is anyway, for your fun and enjoyment:
Proof of ”f injective ⇔ converse holds”
”⇒” (”f injective ⇒ [
f (A 1
f (A 2
1
2
Let x 1
be any element of A 1
. Then its image y 1
= f (x 1
) is an element of
f (A 1
Since
f (A 1
f (A 2
), y 1
f (A 1
) ⇒ y 1
f (A 2
). This implies that y 1
= f (x 2
) for some
x 2 ∈ A 2. But f (x 1 ) = f (x 2 ) (since both equal y 1 ), and, if f is injective, it folows
that x 1
= x 2
. Hence, x 1
2
This shows A 1 ⊆ A 2 , and hence it proves that f injective ⇒ converse holds.
”⇐”: For the reverse implication, note that if f is not injective, then there
exists x 1
= x 2
∈ X such that f (x 1
) = f (x 2
). Let y be the element of Y equal to
f (x 1 ) = f (x 2 ). Then
f ({x 1 }) =
f ({x 2 }) = {y} but {x 1 } 6 ⊆ {x 2 }. This shows the contra-
positive of the reverse implication, namely: ”f not injective ⇒ converse not true”.
a) f is injective ⇔
f is injective.
There are 2 implications to prove. Often, it is easier to work with the contrapos-
itive of the implications instead.
i) Let’s first show ”f is injective ⇒
f is injective”
Suppose there exists two subsets of X, say A 1
and A 2
, such that
f (A 1
f (A 2
We want to prove that A 1
2
, since this would show that
f is injective.
Since we want to prove a set equality, take an arbitrary x 1
1
. We want to show
that x 1 ∈ A 2. If this holds, then it follows that A 1 ⊆ A 2. By the symmetry of the
statement, the same argument but with A 1
and A 2
interchanged would show that
A 2 ⊆ A 1 , and thus we have our desired set equality.
So let x 1 ∈ A 1. Define y 1 = f (x 1 ). By definition of
f (A 1 ), since x 1 ∈ A 1 , y 1 ∈
f (A 1 ).
But
f (A 1
f (A 2
), so y 1
f (A 2
). That is, there exists some x 2
2
such that
y 1 = f (x 2 ). But since f is injective, y 1 = f (x 1 ) = f (x 2 ) ⇒ x 1 = x 2. This implies that
x 1
2
ii) ”
f is injective ⇒ f is injective”, or, equivalently,
”f not injective ⇒
f not injective”
Suppose that f : X → Y is not injective. By definition, this means that there
exists x 1
= x 2
elements of X, such that f (x 1
) = f (x 2
). Let y 1
∈ Y denote the
element f (x 1 ) = f (x 2 ) ∈ Y. Then there exist subsets A 6 = B of X (namely, A = {x 1 },
B = {x 2
}) such that
f (A) =
f (B) = {y 1
}. Hence
f is not injective. QED
From (i) and (ii) we see that f is injective if and only if
f is injective.
Prove: b) f is injective ⇔
←
f is surjective.
Again, we need to prove two implications:
ı) ”f is injective ⇒
←
f is surjective”
To show that
←
f : P (Y ) → P (X) is surjective, we need to show that
for any A ∈ P (X), there exists some B ∈ P (Y ) such that A =
←
f (B).
By definition of power sets and
←
f , this means that we want to prove that
for any A ⊆ X, there exists some B ⊆ Y such that A = {x ∈ X|f (x) ∈ B}.
Let A be any subset of X. Take the set B to be B =
f (A) = {f (x)|x ∈ A} ⊆ Y.
Then, by definition of B, A ⊆ {x ∈ X|f (x) ∈ B}. On the other hand, suppose for
some x
′ we have y = f (x
′ ) ∈ B. By definition of B, there exists some x ∈ A with
y = f (x). By the injectivity of f , x
′ = x, so x
′ ∈ A. This shows the reverse set
inclusion: A ⊇ {x ∈ X|f (x) ∈ B}.
Since both set inclusions hold, A = {x ∈ X|f (x) ∈ B}, and hence
←
f is surjective.