Mathreasoning

Mathematical Reasoning

The Foundation of Algorithmics

The Nature of Truth
In mathematics, we deal with
statements that are True or False
This is known as “The Law of the
Excluded Middle”
Despite the fact that multi-valued logics
are used in computer science,
they have no place in mathematical
reasoning

The nature of mathematical proof
An individual once said to me “You
know what the definition of a good
proof is?”
“What?” I replied.
“It convinces you!” he said, quite proud
of himself.
This individual was …

Mathematical Proof II

Dead Wrong!
Personal certitude has nothing to do with
mathematical proof.
The human mind is a fragile thing, and
human beings can be convinced of the most
preposterous things.

Mathematical Proof III
A good proof is one that starts with a
set of axioms, and proceeds using
correct rules of inference to the
conclusion.
In many cases, we will proceed
informally, but that does not mean that
we will skip essential steps.

A Sample Proof I
Prove that (x+1)2=x2+2x+1
Incorrect Proof #1
The book says that this is true
Incorrect Proof #2
My teacher says that this is true
Incorrect Proof #3
Everybody knows that this is true

A Sample Proof II
Incorrect Proof #4: x+1
This is an algorithm. x+1
Before you can use an x+1
algorithm as part of 2
x +x
a proof, you must
prove it correct. 2
x + 2x + 1
You didn’t do that.

A Sample Proof III
A Correct Proof
(x+1)2=(x+1)(x+1)
Because the left-hand side is just
shorthand notation for the right-hand side.
(x+1)(x+1)=((x+1)x+(x+1)1)
Because the distributive law is one of the
axioms of the real numbers

A Sample Proof IV
((x+1)x+(x+1)1)=(x+1)x+(x+1)
Because the outer parentheses are not
needed, and because the identity law of
multiplication is one of the axioms of the
real numbers
(x+1)x+(x+1)=(xx+1x)+(x+1)
Because the distributive law is an axiom of
the real numbers

A Sample Proof V
(xx+1x)+(x+1)=(xx+x)+(x+1)
Because the identity law of multiplication is
one of the axioms of the real numbers
(xx+x)+(x+1)=(x2+x)+(x+1)
Because x2 is notational shorthand for xx.
(x2+x)+(x+1)=x2+(x+(x+1))
Because the associative law of addition is
one of the axioms of the real numbers.

A Sample Proof VI
x2+(x+(x+1))= x2+((x+x)+1)
one of the axioms of the real numbers
x2+((x+x)+1)= x2+((1+1)x+1)
Because the distributive law is one of the
axioms of the real numbers.
x2+((1+1)x+1)= x2+(2x+1)
Because 1+1=2, and because notational
convention says that multiplication is
performed first.

A Sample Proof VII
x2+(2x+1)= (x2+2x)+1
one of the axioms of the real numbers.
(x2+2x)+1= x2+2x+1
Because x2+(2x+1)= (x2+2x)+1, there is
no ambiguity introduced by omitting the
parentheses.

A Warning!

WE’RE NOT
KIDDING
ABOUT THIS!

More Warnings…
This REALLY IS how you do
mathematical proofs!
You can combine steps.
You can leave out the explanations.
But you MUST be able to put them back
in upon demand.
Any other way of doing things is
WRONG!

The Rules of Inference I
Given the statement: All A is B
And the statement: All B is C
We conclude: Therefore All A is C.
This is a correct inference.
Example: All cows are animals, all
animals are living beings, therefore all
cows are living beings.

The Rules of Inference II
Given All A is B
We conclude that Some B is A.
Example, All Cows are Animals,
therefore some Animals are Cows.
An incorrect inference: Given All A is B,
to conclude that All B is A. After all, not
all animals are cows.

The Rules of Inference III
Given Some A is B, and Some B is C,
what can we conclude?
Nothing.
Example: Some Cows are Jerseys,
Some Jerseys are human. (Here we are
to interpret the word “Jersey” as
“Things that come from Jersey, an
island in the English Channel.”

The Rules of Inference IV
Given Some A is B, we can conclude
that Some B is A.
Some cows are Jerseys, some Jerseys
are cows.

The Rules of Inference V
Given Some A is B and All B is C,
We conclude: Some A is C.
Example: Some cows give milk, All
things that give milk are female.
Therefore: some cows are female.

The Rules of Inference VI
Given All A is B, and Some B is C, what
can we conclude?
Nothing.
Example: All cows are animals. Some
animals are birds. No conclusion is
possible.

Quantifiers
A statement such as “All A is B” is said
to be “Universally quantified.”
In other words, it is a universal
statement that applies to all A.
A statement such as “Some A is B” is
said to be “Existentially quantified.”
In other words, there exists at least one
A to which the statement applies.

Negative Statements
The only permissible form for the
universal negative is: No A is B. (Accept
no substitutes!)
The existential negative has several
forms, Not all A is B, Some A is not B,
and many others.
Mathematical statements may require
somewhat greater precision than
general statements. (See below)

Negating Statements
An existential negates a universal, and
an universal negates an existential.
The negation of “All A is B” is “Some A
is not B”
The negation of “Some A is B” is “No A
is B”
The two statements “Some A is B” and
“Some A is not B” can both be true.

Mathematical Quantifiers I
Mathematical statements need to be
somewhat more precise than “All Cows
are Animals.”
All mathematical statements are
quantified, but sometimes, quantifiers
are understood.
Example: prove that (x+1)2=x2+2x+1.
The universal quantifier “For all x” is
understood.

Mathematical Quantifiers II
A proposition is a statement that can be
assigned the value True or False.
“All Cows Eat Grass,” “All Cows are
Ducks,” and “All multiples of 10 end in
0” are examples of propositions.
Statements such as “good weather,”
“return 25 to the printout” and “I fit
new blue” are not propositions.

Mathematical Quantifiers III
Assume that P is a proposition
containing the variable x.
We sometimes denote P as P(x) to
indicate it contains the variable x.
xP is read “For all x P”
xP is read “There exists an x such that
P”
In both cases, we read out P, we don’t
just say “P”.

Mathematical Quantifiers IV
Practice with these:
x (x+1)2=x2+2x+1
x x<5
As in ordinary logic, a universal negates
an existential, and an existential
negates a universal.

The Rules of Inference VII
X and Y are equal (X=Y) if X and Y are
names for the same thing.
If a statement P(X) containing X is true,
and X=Y then the statement P(Y)
obtained by substituting Y for X is also
true.
If P(X) is quantified, and X appears in
the quantifier, then Y must appear in
the quantifier of P(Y)

The Rules of Inference VIII
If the statement x P(x) is known to be
true, and k is within the domain of
discourse of P, then P(k) is true.
Example: x (x+1)2=x2+2x+1.
The domain of discourse is all real
numbers. 15.7 is a real number, so
(15.7+1)2=15.72+2*15.7+1 is true.

Rules of Inference IX
Example II: x (x+1)2=x2+2x+1
“Toothpicks” is outside the domain of
discourse of (x+1)2=x2+2x+1.
We cannot say that (“Toothpicks”+1)2=
“Toothpicks” 2+2 “Toothpicks”+1 is
true.
This statement is not a proposition and
is neither true nor false.

Rules of Inference X
If the statement x P(x) is known to be
false, and k falls within the domain of
discourse of P, then P(k) is false.
Example: x 5<x<4
The domain of discourse is all real
numbers.
4.5 is a real number, so 5<4.5<4 is
false.

Negating Quantified Statements
Negate: x (x+1)2=x2+2x+1
Result: x (x+1)2x2+2x+1
Negate: x x<5
Result: x x5
By the law of the excluded middle, if a
statement is true, its negation is false,
and vice-versa.

Logical Connectives I
If P is a proposition P is its negation.
P is read “Not P.”
Do not confuse this mathematical
connective with the general statement
“Not All A is B”. They are not the same
thing.
Sometimes P is written P’ or P.

Logical Connectives II
If P and Q are propositions, PQ is
called the conjunction of P and Q and is
read P AND Q.
If P and Q are propositions, PQ is
called the disjunction of P and Q and is
read P OR Q.
If P and Q are propositions, PQ is
called the implication of P and Q and is
read IF P THEN Q.

Truth Tables for Connectives
P Q PQ PQ PQ

True True True True True

True False False True False

False True False True True

False False False False True

Implications
The most interesting connective is the
implication PQ, which can also be
written PQ.
If P is False, then the entire statement
is true. That is, “A False Statement
Implies Anything.”
An implication is proven by assuming
that P is true and then showing that, in
that case, Q must also be true.

Implications II
Given a statement S of the form PQ,
the statement QP is called the
Converse of S.
The Converse of S is an independent
statement that must be proven
independently of S.
S can be true and its converse can be
false and vice versa. They could both
be true or both be false.

Implications III
Given a statement S of the form PQ,
the statement Q P is called the
Contrapositive of S.
A statement and its contrapositive are
logically equivalent. Either both are true
or both are false.
The statement P Q is the Inverse
of S. The inverse of S is logically
equivalent to the converse of S.

Proven Implications
Once an implication has been proven,
we use a special symbol to designate
the implication.
The notation PQ is read “if P then Q”
and also says that the P=T, Q=F case
never occurs.
In other words, that the implication is
always true.

If and Only If
A statement of the form P if and only if
Q is shorthand for (if P then Q) and (if
Q then P).
In symbols we express this as PQ.
Once the statement has been proven
we rewrite the statement as PQ.
To prove PQ, we must prove both of
PQ and QP.

Negating Compound Statements
(PQ) = P  Q
X is less than three and X is odd
X is greater than or equal to 3 or X is even
(PQ) = P  Q
The car was either red or green
The car was not red AND it was not green
(PQ) = P  Q
If a person has a Ph.D. then they must be rich
Prof. Maurer has a Ph.D and Prof. Maurer is poor.
Note change in quantifiers.

The Rules of Inference XI
If P is known to be true, P is false, and vice
versa.
If PQ is true, then QP is true
If PQ is true then both P and Q are true.
If PQ is known to be false, and P is known
to be true, then Q is false.
If PQ is true, then QP is true.
If PQ is false, then both P and Q are false.
If PQ is known to be true, and P is known to
be false, then Q is true.

The Rules of Inference XII
If PQ is known to be true, and P is
true, then Q is true.
If PQ is known to be true, and Q is
false then P is false.

The Rules of Inference XIII
If PQ is known to be true and P is
true then Q is true, and vice versa.
If PQ is known to be true and P is
false then Q is false, and vice versa.
If PQ is known to be false and P is
false then Q is true, and vice versa.
If PQ is known to be false and P is
false then Q is true, and vice versa.

Logical Fallacies: The Biggie I
Let’s go back to our theorem
(x+1)2=x2+2x+1 and give another
invalid proof.
X=5, (x+1)2=(5+1)2=62=36
x2+2x+1=52+2*5+1=25+10+1=36
“Hence Proved ”
What has really been proved?
(See Next Slide)

Logical Fallacies: The Biggie II
This “proof” proves:
x (x+1)2=x2+2x+1
But the theorem was:
x (x+1)2=x2+2x+1
For the preceding to be a proof, the
following implication would have to be
true for all propositions P
xP x P

Logical Fallacies: The Biggie III
Is xP x P true for all P?

Here is a capital letter A: A
This capital A is red. For the implication
to be true, ALL capital A’s would have
to be red.

But this one isn’t: A

Logical Fallacies: The Biggie IV
Most students have a hard time
understanding this.
It is not the calculations that are
incorrect in the “proof” given above.
It is the Inference that is wrong!
If an inference technique can be used
to prove silly nonsense (all capital A’s
are red), then it cannot be used to
prove anything true.

Logical Fallacies: The Biggie V
When you are asked to prove
something in a class, it is generally
something that is well-known to be
true.
Your proof isn’t supposed to derive a
new truth.
Your proof is supposed to demonstrate
that you know how to apply the rules of
inference correctly.

Logical Fallacies: The Biggie VI
Question: You run your program P on X
number of inputs and observe that
condition C is true on all these inputs.
Does this prove that condition C is true
on ALL inputs?
Answer: No
Repeat Answer: No
Repeat Answer Again: No, No, No, No

Logical Fallacies: The Biggie VII
Testing a program cannot prove
anything.
There is no such thing as “proof by
example”
That is: examples can be used to prove
existential statements, but cannot be
used to prove universal ones.
This is an inductive fallacy known as:
Hasty Generalization

Other Logical Fallacies I
Appeal to Authority: “But that’s what it
says in the book!”
Usually a lie.
If the book has the wrong answer
And you copy the answer onto your test

Then your answer is: WRONG!

Other Logical Fallacies II
Non Sequitur: Squaring something is a
more powerful operation than adding
something, so (x+1)2 can’t possibly
equal x2+1, therefore we have to add
2x to offset the power of the squaring
operation.
The truth of (x+1)2=x2+2x+1 does not
follow from this argument. You must
use the axioms of the real numbers

Other Logical Fallacies III
Ad Ignorandum (appeal to ignorance): We
certainly cannot prove it false that
(x+1)2=x2+2x+1.
Or alternatively: Why shouldn’t it be true that
(x+1)2=x2+2x+1?
An inability to prove the falsity of something
does not imply that it is true.
You cannot assert whatever you want and
then defy the world to prove it false. You
must prove your statements to be true.

Other Logical Fallacies IV
Assuming the converse: If this square
root function is correct then it will
compute the square root of 4 to be 2.
This square root function computes the
square root of 4 to be 2, therefore it is
correct.
See next slide for the code of this
function.

Other Logical Fallacies V
float SquareRoot(float x)
{
return 2.0;
}
Given a true statement of the form “if P
then Q,” the truth of P proves the truth
of Q.
However, the truth of Q does not prove
the truth of P.

Other Logical Fallacies VI
Assuming the Inverse: If a number n is
prime and greater than 2 then it must
be odd.
This number is greater than two, but it
is not prime. Therefore, it can’t be odd.
The number is 9.

Other Logical Fallacies VII
Given a true statement of the form “If P
then Q:”
The falsity of Q proves the falsity of P.
However, the falsity of P does not prove
the falsity of Q.
Since the converse is logically
equivalent to the inverse, assuming the
inverse and assuming the converse are
the same fallacy.

Proving Things, In General
Take stock of your resources. These are
the things that are known to be true.
The given elements of the problem
Axioms
Proven Theorems
Use your tools to derive the result from
your resources. Your tools are your
rules of inference.

Proving If-Then Statements
For a statement of the form If P then Q,
add P to your resources. P is assumed
to be true.
You must use the rules of inference to
derive Q from your resources.

Inductive Proofs
Suppose P(n) is a statement about
integers. (It must be about integers.)
To prove that P(n) is true, you must
prove P(0) and the statement “if P(n)
then P(n+1)”
The axioms of the integers state that
“There is an integer 0.” and “Every
integer n has a successor n+1”

Complete Induction
Complete induction is weaker than
normal induction, because it does not
use the axioms of the integers directly.
For complete induction you must prove
P(0) and the statement “if P(k) for all
k<n then P(n)”

Disproving Things I
A disproof of a statement is the same
as proving the negation of the
statement.
Disprove: No even integer is prime.
“2 is prime.”
One counterexample is sufficient to
disprove a universally quantified
statement.

Disproving Things II
Disprove: All odd integers are prime.
“9 is odd and is not prime”
One counterexample is sufficient.
Disprove: There is an even integer
greater than 2 which is prime.
Proof: if x is an even integer it must be
of the form 2k for some integer k (by
definition). (continued on next slide)

Disproving Things III
Since x>2 we have 2k>2.
Canceling the 2s (inverse law of
multiplication) we get k>1.
Since x=2k, and k>1, x is composite,
and cannot be prime. Therefore if x is
an even number greater than 2, it
cannot be prime.
Disproving an existential requires proof
of a universal

Mathreasoning

More Related Content

What's hot (18)

Similar to Mathreasoning (20)

Recently uploaded (20)

Mathreasoning