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Derivation Schemes for Topological Logics

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Title: Derivation Schemes for Topological Logics


1
Derivation Schemes for Topological Logics
2
Derived Logics
  • What Are They?
  • Why Do We Need Them?
  • How Can We Use Them?
  • Colleague Michael Westmoreland

3
History
  • 1936 Von Neumann and Birkhoff
  • a lattice of propositions based on the closed
    subspaces of Hilbert space
  • now known as quantum logic
  • based on measurement
  • non-Boolean (fails to meet distributive
    properties)
  • No satisfying way to do implication

4
A Topological Logic
  • A proposition is an equivalence class of sets
  • S ? S iff int(S) int(S)
  • ?S (int S)c
  • S ? S (int S) ? (int S)
  • S ? S (int S) ? (int S)
  • Most Boolean properties hold
  • Law of noncontradiction
  • S ? ? S int S ? (int S)c S ? (int
    Sc) choosing canonical
  • representation ?
  • But not all ? ? S ? S
  • No!
  • ? ? S ? (int S)c
  • So S ? int( (int Sc )c ? int Sc ?
    ? S

5
Logic Properties
  • No tertium non datur
  • S ? ? S ? U where U is the universal set.
  • What about truth assignment?
  • A measurement (open set) m verifies a
    proposition P iff m ? Pi ? Pi ? P.
  • Example the real line with the standard
    topology. P (-3, 5) . m (0, 4) verifies
    P since (0,4) ? (-3, 5), -3, 5), -3,5, (-3,5
  • We speak of verification rather than truth.
  • Rationale
  • Let S be a classical system and P a proposition
    about S with P0 as the canonical representative
    of P. Then P0 int Pj
  • ? Pj ? P. A measurement m that contains points
    of P0 but does not lie entirely in P0 would not
    verify P.

6
More Properties
  • P (-3, 5). m (0,6) does not verify P.
  • Should we conclude P is false? The state of S
    could lie in P0 and still be consistent with the
    result of the measurement m. In fact, there is a
    more precise measurement, say m that lies
    entirely in P0 and the result of m. Hence, we
    cannot conclude that P is false.
  • New concept for assigning truth values
    associated with a given measurement (set) , three
    possibilities verifiability set, falsifiability
    set, indeterminate.
  • Twin Open Set Phase Space Logic (TOSPS)
  • A measurement m verifies P if m ? P0 where P0 is
    the canonical rep of P.
  • A measurement falsifies a proposition if m ?
    Cl(P0)c.

7
Twin Open Set Phase Space Logic
  • Definition P is a proposition in TOSPS logic if
    P ( V0, F0 ), where V0 and F0 are disjoint
    open sets.
  • Definition Let P ( V0, F0 ) be a
    proposition in TOSPS logic and m be a
    measurement. P will be assigned the truth value
  • true if m ? V0
  • false if m ? F0
  • indeterminate otherwise.
  • Logical Operators
  • P ( PV, PF )
  • Q ( QV, QF )
  • P?Q (int PV ? int QV, int PF? int QF )
  • P?Q ( int PV ? int QV, int PF ? int QF )
  • ?P ( int PF, int PV )

8
Properties
  • ??P ?(PF, QF) ( PV, PF ) P
  • P ? ?P ( PV, PF ) ? ( PF, PV )
  • ( int PV ? int PF, int PF ? int PV )
    (?, U)
  • P ? ?P (U, ?)
  • DeMorgans laws
  • Ditributivity
  • All Boolean properties, but tertium non datur.

9
Note ? fails to be truth functional
  • P (-1,2), (5,9) Q (1,3), (8,11)
  • P ? Q (-1,3), (8,9)
  • The measurement m (0, 2.5) assigns I to P, I to
    Q, and T to P ? Q, since m ? PV ? QV
  • m (0,4) assigns I to P ? Q and I to P and I to
    Q, since m ? PV ? QV

10
Twin Open Set Logic Based on Exact Measurement
(Discrete)
P Q P?Q
T T T
T I T
T F T
I T T
I I I
I F I
F T T
F I I
F F F
11
Truth Tables for TOPSL
P Q P?Q
T T T
T I T
T F T
I T T
I I T or I
I F I
F T T
F I I
F F F
12
P Q P ? Q
T T T
T I I
T F F
I T I
I I F or I
I F F
F T F
F I F
F F F
13
P ?P
T F
I I
F T
14
Example
  • Example to illustrate lack of truth functionality
    for disjunction
  • P (-2, 2), (5,9)
  • Q (1, 3), (8, 11)
  • P ? Q (-2, 3), (8,9)
  • Suppose m (0, 2.5)
  • m assigns I to each of P and Q, T to
  • P ? Q since m ? PV ? QV
  • Now suppose m ( 0, 4)
  • m assigns I to P ? Q as well as to P and to Q
  • since m ? (PV ? QV)

15
P Q P? Q ?P ? Q
T T T
T I I
T F F
I T T
I I T or I
I F I
F T T
F I T
F F T
16
Applications to Billiard Ball Model of Computation
17
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20
OR-Gate
21
AND-Gate
22
NOT-Gate
23
Derivation Gate
  • Input the value of P and
  • the value of P ? Q

24
Derivation
  • For a Boolean lattice, define P Q when
  • P ? Q is valid where is the lattice ordering
  • Modus Ponens

25
Three Questions to Consider
  1. What is a proper ordering for the propositions in
    twin open set logic?
  2. What is a proper implication operator in twin
    open set logic?
  3. What derivation method can be implemented given
    the answers to 1 and 2?

26
Characterization Theorem
  • Let (A, ?, ?, ?) be a DeMorgan algebra. If we
    define an ordering ? on the algebra by
  • P ? Q ?def P ? Q Q,
  • then P ? (?P ? Q) ? Q iff (A, ?, ?, ?) is a
    boolean algebra .
  • Reminder TOPSL is a DeMorgan algebra.

27
Proof
  • Need (A, ?, ?, ?) satisfies the law of non
    contradiction.
  • In any DeMorgan algebra satisfying our
    hypothesis, 0 ? P ? ?P.
  • Substituting Q 0 in the modus ponens scheme,
  • P ? (?P ? 0) ?0

28
  • Using distributivity, P ? (?P ? 0) ? 0
  • (P ? ?P) ? (P ? 0) ? 0
  • Since P ? 0 0 and Q ? 0 Q for any Q,
  • P ? ?P ? 0
  • By antisymmetry of ?, P ? ?P 0
  • and so (A, ?, ?, ?) is boolean.

29
Implications of the theorem
  • Any DeMorgan algebra in which
  • Entailment is given by ? (?),
  • The implication operator is given by ?P ? Q, and
  • Modus ponens is satisfied
  • must be a Boolean algebra.

30
Non Standard Derivation
  • TOSPL is a DeMorgan algebra, but not a boolean
    algebra.
  • At least one of the three properties above must
    fail.

31
Modus Ponens Fails
  • Ordering for TOSL (suggested by ? or ?)
  • P ? Q ? PV ? QV and QF ? PF
  • motivated by either
  • P ? Q P ? PV ? QV and QF ? PF
  • P ? Q Q ? PV ? QV and QF ? PF
  • Q is more readily verified and less easily
    falsified than P.

32
Implication
  • P?Q ?def ?P ? Q
  • So P?Q ?P ? Q
  • (PF ? QV),(PV ? QF)
  • Previous Theorem tells us that modus ponens
    fails. Why does it?

33
Theorem With the ordering given by ?, it is not
the case that P ? (P?Q ) ? Q
  • Proof P ? (P?Q ) P ? (?P ? Q )
  • (P ? ?P) ? (P ? Q)
  • (PV? PF), (PV?PF) ? (PV ? QV), (PF ? QF)
  • ?, (PV?PF) ? (PV ? QV), (PF ? QF)
  • (PV ? QV),, ((PV?PF) ? (PF ? QF))
  • (PV ? QV), ((PV ? QF) ? PF)

34
  • For P ? (P?Q ) ? Q, QF ? (PV ? QF) ? PF
  • But whenever PV ? PF ? X (the whole space), the
    containment fails.
  • In any nondiscrete topology we have disjoint open
    sets PV and PF such that PV ? PF ? X
  • and the claim is established.

35
  • Need a proposition that contains
  • (PV ? QV), ((PV ? QF) ? PF)
  • One possibility
  • QV, ?
  • Given P and P?Q QV, ?

36
  • Good Point It works.
  • Not so good So does any proposition of the form
    QV, Y where Y is any open subset of
  • int(QVC)
  • Cannot falsify

37
Modus Tollens
  • P?Q ?P ? Q ?(?Q) ?P ? ?P
  • ?Q ? ?P
  • Consider ?Q ? (P?Q )
  • (PF ? QF), ((PV ? QF) ? QV)
  • Analog to modus ponens PF, ?

38
Another Possibility
  • For Modus Ponens Given P and P?Q,
  • Conclude QV, PV ? QF def QP
  • For Modus Tollens Given ?Q ? (P?Q ),
  • Conclude PF, PV ? QF def P?Q
  • Now P ? (P?Q ) ? QP

39
  • Moreover,
  • PV ? QV ? QV and
  • PV ? QF ? (PV ? QF) ? PF
  • thereby respecting entailment

40
Non Standard Entailment
  • P ? Q ?def Pv ? Qv
  • Not antisymmetric, but is reflexive and
    transitive (a quasi ordering relation)
  • Theorem ? satisfies P ? (P?Q ) ? Q

41
What about falsifiability?
  • P ? Q ?def QF ? PF
  • Does not give a valid modus ponens!

42
Both Verifiability and Falsifiability
  • Quasi ordering
  • Reminder PS PV ? PF
  • P Q ?def

43
theorem
  • The quasi ordering defined gives
  • P ? (P?Q ) Q

44
Non Standard Implication
  • Instead of P?Q ?P ? Q
  • P ? Q def PV ? QV, QF\

45
Motivation
  • sup(X P ? X Q) well defined for any
    orthonormal lattice.
  • Propositions in TOSL make a lattice, but not
    orthonormal
  • sup(X P ? X ? Q) where X XV, XF and
  • XV sup(Y PV ? Y ? QV) and
  • XF inf(Y QF ? PF ? Y)

46
To get existence
  • need PF ? QV ? XV
  • This blocks inf(Y QF ? PF? Y)
  • Leading to XF (QF \ )

47
Theorem P ? (P ? Q) ? Q
48
Why ?
  1. We get the usual implication operator when
    considering the discrete twin logic.
  2. Natural interpretation of implication when
    measurement P verifies P and P ? Q, whatever form
    ? may take.

49
Discoveries
  • In any derivation scheme that is given by the
    lattice theoretic entailment, an implication P ?
    Q that is equivalent to
  • ?P ? Q must be Boolean.
  • Define P ? Q ?P ? Q (PF ? QV), (PV ? QF)
  • m will assign a value of true to P ? Q iff m
    assigns a value of true to either ?P or Q. i.e.,
    m ? (PF ? QV).
  • Alternately, m will assign a value of false to
  • P ? Q iff m ? (PV ? QF).
  • m assigns indeterminate to P ? Q iff
  • m ? (PV ? QF) and m ? (PF ? QV)

50
Derivation in Collision Models
  • Replace modus ponens by
  • P and P ? Q yield
  • QV, PV ? QF
  • Replace modus tollens by
  • ?Q and P ? Q yield
  • QV, PV ? QF
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