WEBVTT

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Could two situations be different, yet look exactly the same through the

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observations we are allowed to make?

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Imagine a card hidden inside an envelope.

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It might have a dot, a stripe, both, or neither.

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We want to work out which card it is.

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But what we can discover will depend on what evidence we are

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allowed to use.

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Let’s give two statements short names.

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X means “the card has a dot.”

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Y means “the card has a stripe.”

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There are four possibilities.

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Card A has a dot only.

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Card B has both features.

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Card C has a stripe only.

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Card D has neither.

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Each possibility is a state: a complete answer to both questions about

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the card.

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On our diagram, the first bit answers X, the dot question, and

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the second answers Y, the stripe question.

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One means true and zero means false.

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This diagram is our map of the possibilities.

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It does not tell the observer which card is actually inside the

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envelope.

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Now suppose the only available certificate says, “The card has a dot.”

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A certificate is evidence establishing the statement written on it.

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That statement is true for A and B.

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It is false for C and D.

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A and B really are different: B has a stripe.

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But the dot certificate cannot tell them apart.

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Both satisfy exactly the same available test.

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It can distinguish A from D in one direction: certifying a dot

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excludes D.

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It also excludes C, because C has no dot.

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The positive dot certificate leaves A and B possible.

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The reverse needs care.

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We have not supplied a certificate saying “the card has no dot.”

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Without a dot certificate, we cannot simply conclude “no dot.”

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A statement can be false without its negation being available as a

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certificate.

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We can draw a region around the states that a certificate would

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confirm.

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For “has a dot,” that region contains A and B.

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Topology gives precise rules for organizing regions called open sets.

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In this paper, those regions are generated from the observations we choose

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to make available.

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They record which distinctions those observations can express.

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We will learn the rules later.

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For now, the key idea is that topology can describe the structure

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of observation, even when our points are logical states rather than locations

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on a map.

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There are two ways we might improve our information: add an observation,

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or learn a fact.

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First, we could make another certificate available: “The card has a stripe.”

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We would then have a way to distinguish B from A.

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All four cards would still be possible; we have improved our observation

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tools.

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Second, we could learn as a fact that the hidden card has

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a stripe.

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Then only B and C remain possible.

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We have narrowed the candidates.

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Adding an observation changes what we can distinguish.

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Learning a fact changes which states remain possible.

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The paper carefully separates these two operations.

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Let’s check the distinction.

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Return to our original setup, with only the dot certificate available.

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If you obtain that certificate, can you conclude that the card is

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A?

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And if you have no such certificate, can you conclude that the

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card has no dot?

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Both answers are no.

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The dot certificate leaves A and B possible.

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And having no dot certificate does not establish that the card lacks

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a dot.

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A certificate for “no dot” would be a separate observation.

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With only the dot test available, does it distinguish A from D?

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Does it distinguish A from B?

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State which positive certificate could establish the distinction, rather than guessing the

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hidden card.

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The dot test distinguishes A from D in one direction: a positive

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dot certificate excludes D.

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It does not distinguish A from B, because both satisfy the same

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available test.

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The presence of a distinction is different from identifying the actual valuation.

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This is the starting point of propositional logical topology: connect the states

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of a logical system with the distinctions its observations support.

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The paper brings established ideas from logic and topology together around that

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connection.

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We will build the background step by step, including sets, logic, distance,

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and topology.

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Next, we start with sets: a simple language for describing which states

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belong to which regions.
