CPSC 121: Models of Computation 2012 Summer Term 2
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Transcript of CPSC 121: Models of Computation 2012 Summer Term 2
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CPSC 121: Models of Computation2012 Summer Term 2
Proof Techniques(Part A)
Steve Wolfman, based on notes by Patrice Belleville and others
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Outline
• Learning Goals, Quiz Notes, and Big Picture• Problems and Discussion: Generally Faster?
– Breaking Down Big Proofs– Witness Proofs, also known as
Proofs of Existence– Without loss of generality (WLOG), also known as
Generalizing from the Generic Particular– Antecedent Assumption– Proving Inequality (and equivalences/equality)– Breaking Down Big Proofs, Revisited
• Coming Soon: The Rest2
Learning Goals: “Pre-Class”
Be able for each proof strategy below to:– Identify the form of statement the strategy can prove.– Sketch the structure of a proof that uses the strategy.
Strategies: constructive/non-constructive proofs of existence ("witness"), disproof by counterexample, exhaustive proof, generalizing from the generic particular ("WLOG"), direct proof ("antecedent assumption"), proof by contradiction, and proof by cases.
Alternate names are listed for some techniques.3
Learning Goals: In-Class
By the end of this unit, you should be able to:– Devise and attempt multiple different, appropriate
proof strategies—including all those listed in the “pre-class” learning goals plus use of logical equivalences, rules of inference, universal modus ponens/tollens, and predicate logic premises—for a given theorem.
– For theorems requiring only simple insights beyond strategic choices or for which the insight is given/hinted, additionally prove the theorem.
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Where We Are inThe Big Stories
Theory
How do we model computational systems?
Now: With our powerful modelling language (pred logic), we can begin to express interesting questions (like whether one algorithm is faster than another “in general”).
Hardware
How do we build devices to compute?
Now: We’ve been mostly on the theoretical side for
a while, and we’ll stay there for a littlewhile longer. Never fear, though, we’ll
return!
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Outline
• Learning Goals, Quiz Notes, and Big Picture• Problems and Discussion: Generally Faster?
– Breaking Down Big Proofs– Witness Proofs, also known as
Proofs of Existence– Without loss of generality (WLOG), also known as
Generalizing from the Generic Particular– Antecedent Assumption– Proving Inequality (and equivalences/equality)– Breaking Down Big Proofs, Revisited
• Coming Soon: The Rest6
Our “GenerallyFaster”
GenerallyFaster(a1, a2) = i Z+, n Z+, n i Faster(a1, a2, n).
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Alg A
Alg Bproblem size
time
Our Algorithms
(a) Ask each student for the list of their MUG-mates’ classes, and check for each class whether it is CPSC 121. If the answer is ever yes, include the student in my count.
(b) For each student s1 in the class, ask the student for each other student s2 in the class whether s2 is a MUG-mate. If the answer is ever yes, include s1 in my count.
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Alg A
Alg Bproblem size
time
Our Algorithms At Particular Sizes
(a) For 10 students: 10 minutes For 100 students: 100 minutes
For 400 students: 400 minutes
(b) For 10 students: ~10*10 seconds For 100 students: ~100*100 seconds
For 400 students: ~400*400 seconds
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Alg A
Alg Bproblem size
time
Proving “GenerallyFaster”
GenerallyFaster(a1, a2) = i Z+, n Z+, n i Faster(a1, a2, n).
Can we prove algA is generally faster than algB?
GenerallyFaster(algA, algB) i Z+, n Z+, n i Faster(algA, algB, n). i Z+, n Z+, n i 60n < n2.
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Alg A
Alg Bproblem size
time
(The last line is what we really mean in this case.)
Proving “GenerallyFaster”
Theorem: i Z+, n Z+, n i 60n < n2.
Which of these is the best overall description of this statement?
a.It’s a big “AND”.
b.It’s a big “OR”.
c.It’s a conditional.
d.It’s an inequality.
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Alg A
Alg Bproblem size
time
Proving “GenerallyFaster”
Theorem: i Z+, n Z+, n i 60n < n2.
We can always pick out the “outermost” operator:i Z+, P(i), where…
P(i) = n Z+, n i 60n < n2
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Alg A
Alg Bproblem size
time
Proving “GenerallyFaster”
Theorem: i Z+, n Z+, n i 60n < n2.
We can always pick out the “outermost” operator:i Z+, P(i), where…
P(i) = n Z+, Q(i,n),
Q(i,n) = n i 60n < n2
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Alg A
Alg Bproblem size
time
Proving “GenerallyFaster”
Theorem: i Z+, n Z+, n i 60n < n2.
We can always pick out the “outermost” operator:i Z+, P(i), where…
P(i) = n Z+, Q(i,n),
Q(i,n) = R(i,n) S(n),R(i,n)= n i,S(n) = 60n < n2
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Alg A
Alg Bproblem size
time
Proving “GenerallyFaster”
Theorem: i Z+, n Z+, n i 60n < n2.
We can always pick out the “outermost” operator:i Z+, P(i), where…
P(i) = n Z+, Q(i,n),
Q(i,n) = R(i,n) S(n),R(i,n)= n i,S(n) = 60n < n2
So to get started, we can think about how to prove an existential…
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Alg A
Alg Bproblem size
time
Outline
• Learning Goals, Quiz Notes, and Big Picture• Problems and Discussion: Generally Faster?
– Breaking Down Big Proofs– Witness Proofs, also known as
Proofs of Existence– Without loss of generality (WLOG), also known as
Generalizing from the Generic Particular– Antecedent Assumption– Proving Inequality (and equivalences/equality)– Breaking Down Big Proofs, Revisited
• Coming Soon: The Rest16
Proof of Existence or “witness proofs”
Pattern to prove x D, R(x).
Prove R(x) for any one x in D. Pick the one that makes your job easiest!
The x you use for your proof is the “witness” to the existential… it “testifies” that your existential is true.
(We’re proving one of the disjuncts of a big “OR”.)
17proving
Witness Proof Example: A Touch of Brevity
Theorem: There’s a valid Racket program shorter than this (45-character) Java program:
class A{public static void main(String[]a){}}
Problem: prove the theorem.
18Where “valid” means “runnable using the java/racket commands with no flags”.
Proving “GenerallyFaster” Our Strategy So Far
Theorem: i Z+, n Z+, n i 60n < n2.
We pick i = ??.
Then, we prove: n Z+, n i 60n < n2.
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Alg A
Alg Bproblem size
time
LEAVE this blank until you know what to pick.Take notes as you learn more about i.
Form of Our “TODO Item”
Partial Theorem: n Z+, n i 60n < n2.
Which of these is the best overall description of this statement?
a.It’s a big “AND”.
b.It’s a big “OR”.
c.It’s a conditional.
d.It’s an inequality.
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Alg A
Alg Bproblem size
time
Proving “GenerallyFaster” Our Strategy So Far
Theorem: i Z+, n Z+, n i 60n < n2.
We pick i = ??.
Then, we prove: n Z+, n i 60n < n2.
That’s the same as:
Q(i,n) = n i 60n < n2.
n Z+, Q(i,n).
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Alg A
Alg Bproblem size
time
So, how do we prove a universal?
Outline
• Learning Goals, Quiz Notes, and Big Picture• Problems and Discussion: Generally Faster?
– Breaking Down Big Proofs– Witness Proofs, also known as
Proofs of Existence– Without loss of generality (WLOG), also known as
Generalizing from the Generic Particular– Antecedent Assumption– Proving Inequality (and equivalences/equality)– Breaking Down Big Proofs, Revisited
• Coming Soon: The Rest22
Generalizing from the Generic Particular /Without Loss of Generality (WLOG)
Pattern to prove x D, R(x).
Pick some arbitrary x, but assume nothing about which x it is except that it’s drawn from D
Then prove R(x).
That is: pick x “without loss of generality”!
23proving
Why Does This Work?
Pattern to prove x D, R(x).
Pick some arbitrary x, but assume nothing about which x it is except that it’s drawn from D. Then prove R(x).
This is a big “AND”. To prove it, we must prove each “conjunct”.
Can we generate each individual proof from this one generic proof?
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WLOG Example: My Machine Speaks Racket
Theorem: Any valid Racket program can be represented in my computer’s machine language.
Problem: prove the theorem.
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WLOG Example: My Machine Speaks Racket
Theorem: Any valid Racket program can be represented in my computer’s machine language.
Proof: Without loss of generality, consider a valid Racket program p.
Since p is valid, my Racket interpreter (DrRacket) can interpret it on my computer. However, all commands that my computer runs are expressed in its machine language.
Therefore, p can be expressed (as the combination of the compiled interpreter and the input program) in my computer’s machine language.
QED
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Proving “GenerallyFaster” Our Strategy So Far
Theorem: i Z+, n Z+, n i 60n < n2.
We pick i = ??.
Without loss of generality, let n be an arbitrary positive integer.
Then, we prove: n i 60n < n2.
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Alg A
Alg Bproblem size
time
Form of Our “TODO Item”
Partial Theorem: n i 60n < n2.
Which of these is the best overall description of this statement?
a.It’s a big “AND”.
b.It’s a big “OR”.
c.It’s a conditional.
d.It’s an inequality.
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Alg A
Alg Bproblem size
time
Proving “GenerallyFaster” Our Strategy So Far
Theorem: i Z+, n Z+, n i 60n < n2.
We pick i = ??.
Without loss of generality, let n be an arbitrary positive integer.
Then, we prove: n i 60n < n2.
With appropriate helpers, that’s just:R(i,n) S(n)
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Alg A
Alg Bproblem size
time
So, how do we prove a conditional?
Outline
• Learning Goals, Quiz Notes, and Big Picture• Problems and Discussion: Generally Faster?
– Breaking Down Big Proofs– Witness Proofs, also known as
Proofs of Existence– Without loss of generality (WLOG), also known as
Generalizing from the Generic Particular– Antecedent Assumption– Proving Inequality (and equivalences/equality)– Breaking Down Big Proofs, Revisited
• Coming Soon: The Rest30
A New Proof Strategy“Antecedent Assumption”
To prove p q:
Assume p.
Prove q.
You have then shown that q follows from p, that is, that p q, and you’re done.
But this is a prop logic technique?Can we use those for pred logic?
31proving
Why Does This Work?
To prove p q:
Assume p.
Prove q.
p q is “really” an OR like ~p q.
If our assumption is wrong, is the OR true?
If our assumption is right, is the OR true?
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Partly Worked Problem: Universality of NOR Gates
Theorem: If a circuit can be built from NOT gates and two-input AND, OR and XOR gates, then it can be built from NOR gates alone.
Problem: prove the theorem.
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Partly Worked Problem: Universality of NOR Gates
Opening steps:
(1) Without loss of generality, consider an arbitrary circuit.
(2) [Assume the antecedent.] Assume the circuit can be built from NOT gates and two-input AND, OR and XOR gates.
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Partly Worked Problem: Universality of NOR Gates
Insight: We can “rewrite” each of the gates in this circuit as a NOR gate. How?
AND OR XORNOT
Once you’ve shown this rewriting, you’ve proven the theorem.35
Partly Worked Problem: Universality of NOR Gates
Which of these NOR gate configurations is equivalent to ~p?
e. None of these36
p
pT
pF
pq
a.
b.
c.
d.
Partly Worked Problem: Universality of NOR Gates
Insight: Now that we can build NOT, can we rewrite the rest in terms of NOR and NOT?
AND OR XOR
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Proving “GenerallyFaster” Our Strategy So Far
Theorem: i Z+, n Z+, n i 60n < n2.
We pick i = ??.
Without loss of generality, let n be an arbitrary positive integer.
Assume n i.
Then, we prove: 60n < n2.
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Alg A
Alg Bproblem size
time
So, how do we prove an inequality?
Outline
• Learning Goals, Quiz Notes, and Big Picture• Problems and Discussion: Generally Faster?
– Breaking Down Big Proofs– Witness Proofs, also known as
Proofs of Existence– Without loss of generality (WLOG), also known as
Generalizing from the Generic Particular– Antecedent Assumption– Proving Inequality (and equivalences/equality)– Breaking Down Big Proofs, Revisited
• Coming Soon: The Rest39
“Rules” for Inequalities
Proving an inequality is a lot like proving equivalence.
First, do your scratch work (often solving for a variable).
Then, rewrite formally:• Start from one side.• Work step-by-step to the other.• Never move “opposite” to your inequality (so, to
prove “<”, never make the quantity smaller).• Strict inequalities (< and >): have
at least one strict inequality step.
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Proving “GenerallyFaster” Our Strategy So Far
Theorem: i Z+, n Z+, n i 60n < n2.
We pick i = ??.
Without loss of generality, let n be an arbitrary positive integer.
Assume n i.Then, we prove: 60n < n2.
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Alg A
Alg Bproblem size
time
Scratch work: We need to pick an i so that 60n < n2.
Scratch Work
Partial Theorem: 60n < n2.
We need to pick an i so that 60n < n2.
Let’s try solving for n in our scratch work!
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Alg A
Alg Bproblem size
time
Polished Work
Partial Theorem: 60n < n2.
With i = ____:
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Alg A
Alg Bproblem size
time
Outline
• Learning Goals, Quiz Notes, and Big Picture• Problems and Discussion: Generally Faster?
– Breaking Down Big Proofs– Witness Proofs, also known as
Proofs of Existence– Without loss of generality (WLOG), also known as
Generalizing from the Generic Particular– Antecedent Assumption– Proving Inequality (and equivalences/equality)– Breaking Down Big Proofs, Revisited
• Coming Soon: The Rest44
Finishing the Proof
Theorem: i Z+, n Z+, n i 60n < n2.
We pick i = 61.
Without loss of generality, let n be an arbitrary positive integer.
Assume n i.Observe that:60n < 61n
= i*n n*n (since n i)= n2
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Alg A
Alg Bproblem size
time QED!
Notation note…
Remember that this:
60n < 61n= i*n n*n= n2
Actually means this:
60n < 61n61n = i*ni*n n*nn*n = n2
Since 60n is less than 61n, and 61n is equal to i*n, 60n is less than i*n.
And, since i*n is less than or equal to n*n, 60n is less than n*n.
And so on…
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Alg A
Alg Bproblem size
time
How Did We Build the Proof?
Theorem: i Z+, n Z+, n i 60n < n2.
We pick i = 61.
Without loss of generality, let n be an arbitrary positive integer.
Assume n i.Observe that:60n < 61n
= i*n n*n (since n i)= n2
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Alg A
Alg Bproblem size
time
QED!
Strategies So Far
x D, P(x). with WLOG
x D, P(x). with a witness
p q by assuming the LHS
p q by proving each part
p q by proving either part
48Those last two are prop logic strategies,
and we can still use the rest of those as well!
Prop Logic Proof Strategies
• Work backwards from the end• Play with alternate forms of premises• Identify and eliminate irrelevant information• Identify and focus on critical information• Alter statements’ forms so they’re easier to
work with• “Step back” from the problem frequently to
think about assumptions you might have wrong or other approaches you could take
And, if you don’t know that what you’re trying to prove follows...switch from proving to disproving and back now and then.
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More Practice: Always a Bigger Number
Prove that for any integer, there’s a larger integer.
Note: our proofs will frequently be purely in words now.BUT, translate the theorem into predicate logic
so you can structure your proof!This is x Z, y Z, y > x.
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More Practice: Always a Bigger Number
Prove that for any integer, there’s a larger integer.
Which strategy or strategies should we use?
a.Witness proof alone
b.WLOG with a witness proof inside
c.Without loss of generality, twice.
d.Witness proof, twice.
e.None of these51
x Z, y Z, y > x
Worked Problem: Always a Bigger Number
Prove that for any integer, there’s a larger integer.
Proof: Without loss of generality, let the first number x be an integer. Let the second number y be x + 1. Then, y = x + 1 > x. QED
The proof uses WLOG then witness.
52And… the predicate logic version makes that order obvious!
WLOG outside for x Z, witness inside for y Z.
x Z, y Z, y > x.
Outline
• Learning Goals, Quiz Notes, and Big Picture• Problems and Discussion: Generally Faster?
– Breaking Down Big Proofs– Witness Proofs, also known as
Proofs of Existence– Without loss of generality (WLOG), also known as
Generalizing from the Generic Particular– Antecedent Assumption– Proving Inequality (and equivalences/equality)– Breaking Down Big Proofs, Revisited
• Coming Soon: The Rest53
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Extra Slides
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Why Does This Work?
To prove p q:
Assume p.
Prove q.
By the way, does this look like a propositional logic proof? When is such a proof valid? When p q is a tautology!
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