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Page 1: Exemplaric Expressivity of Modal  Logics

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Exemplaric Expressivityof Modal Logics

Ana Sokolova University of Salzburg

joint work with

Bart Jacobs Radboud University Nijmegen

Coalgebra Day, 11-3-2008, RUN

Page 2: Exemplaric Expressivity of Modal  Logics

Coalgebra Day, 11-3-2008, RUN 2

Outline Expressivity:

logical equivalence = behavioral equivalence

For three examples:

1. Transition systems2. Markov chains3. Markov processes

Boolean modal logic

Finite conjunctions probabilistic modal logic

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Coalgebra Day, 11-3-2008, RUN 3

Via dual adjunctionsPredicates on

spaces

Theories on

modelsBehaviour

(coalgebras) Logics(algebras)

Dual

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Logical set-up

If L has an initial algebra of formulas

A natural transformation

gives interpretations

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Logical equivalencebehavioural equivalence

The interpretation map yields a theory map

which defines logical equivalence

behavioural equivalence is given by for some coalgebra

homomorphismsh1 and h2

Aim: expressivity

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Expressivity Bijective correspondence between

and

If and the transpose of the interpretation

is componentwise mono, then expressivity.Factorisation system on

with diagonal fill-in

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Sets vs. Boolean algebras contravariant

powerset

Boolean algebra

s

ultrafilters

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Sets vs. meet semilattices

meet semilattice

s

contravariant powerset

filters

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Measure spaces vs. meet semilattices

measure spaces

¾-algebra: “measurable

”subsets

closed under empty,

complement, countable

union

maps a measure space to its ¾-algebra

filters on A with ¾-algebra generated

by

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Behaviour via coalgebras Transition systems

Markov chains

Markov processes

Giry monad

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The Giry monad

subprobability measures

countable union of pairwise disjoint

generated by

the smallest making

measurable

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Logic for transition systems

Modal operator

models of boolean

logic with fin.meet

preserving modal

operators

L = GVV - forgetful

expressivity

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Logic for Markov chains Probabilistic modalities

models of logic with fin.conj.

andmonotone

modal operators

K = HVV - forgetful

expressivity

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Logic for Markov processes

General probabilistic modalities

models of logic with fin.conj.

andmonotone

modal operators

the same K

expressivity

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Discrete to indescrete The adjunctions are related:

discrete measure

space

forgetfulfunctor

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Discrete to indiscrete Markov chains as Markov processes

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Discrete to indiscrete

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Conclusions Expressivity

For three examples:

1. Transition systems2. Markov chains3. Markov processes

Boolean modal logic

Finite conjunctions probabilistic modal logic

in the setting of dual adjunctions !


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