how transition from purely
play

How Transition from Purely How to Describe What . . . Under - PowerPoint PPT Presentation

Beyond Constructive . . . Taking Into Account . . . Need to Supplement . . . How Transition from Purely How to Describe What . . . Under Possibility . . . Constructive Mathematics How to Take into . . . Solving NP-Complete . . . to


  1. Beyond Constructive . . . Taking Into Account . . . Need to Supplement . . . How Transition from Purely How to Describe What . . . Under Possibility . . . Constructive Mathematics How to Take into . . . Solving NP-Complete . . . to Physics-Motivated No Physical Theory Is . . . Intuitionistic Mathematics Main Result Home Page Affects Decidability: Title Page An Important Facet ◭◭ ◮◮ of Mints’s Legacy ◭ ◮ Page 1 of 63 Olga Kosheleva and Vladik Kreinovich Go Back University of Texas at El Paso, El Paso, TX 79968, USA olgak@utep.edu, vladik@utep.edu Full Screen Close Quit

  2. Beyond Constructive . . . 1. Constructive Mathematics Taking Into Account . . . Need to Supplement . . . • Many processes from the physical world are described How to Describe What . . . by mathematical equations. Under Possibility . . . • Traditional (non-constructive) mathematics can help How to Take into . . . us prove the existence of a solution to given the equa- Solving NP-Complete . . . tions. No Physical Theory Is . . . • However, existence proofs are often non-constructive : Main Result Home Page they do not help us compute the solution. Title Page • Moreover, in traditional mathematics, it is not easy even to describe the existence of an algorithm. ◭◭ ◮◮ • So logicians invented constructive mathematics , where ◭ ◮ ∃ x means that we have an algorithm for constructing x . Page 2 of 63 • Then, the not-necessarily-constructive existence is de- Go Back scribed, e.g., by ¬¬∃ x . Full Screen Close Quit

  3. Beyond Constructive . . . 2. Beyond Constructive Mathematics Taking Into Account . . . Need to Supplement . . . • In constructive mathematics, only constructive objects How to Describe What . . . are possible. Under Possibility . . . • For applications, this is a serious limitation: non- How to Take into . . . computable objects are possible. Solving NP-Complete . . . • For example, data may come come from a random pro- No Physical Theory Is . . . cess – like quantum measurement. Main Result Home Page • This limitation was one of the main motivations for Title Page G. Mints to consider: ◭◭ ◮◮ – a more general intuitionistic-style constructive mathematics, ◭ ◮ – where non-computable objects are allowed. Page 3 of 63 • In this talk, we study the relation between physics and Go Back the corresponding version of constructive mathematics. Full Screen Close Quit

  4. Beyond Constructive . . . Part I Taking Into Account . . . Taking Into Account that We Need to Supplement . . . How to Describe What . . . Process Physical Data Under Possibility . . . How to Take into . . . Solving NP-Complete . . . No Physical Theory Is . . . Main Result Home Page Title Page ◭◭ ◮◮ ◭ ◮ Page 4 of 63 Go Back Full Screen Close Quit

  5. Beyond Constructive . . . 3. Need to Supplement Probabilistic Information Taking Into Account . . . with Information re What Is Possible Need to Supplement . . . How to Describe What . . . • Physical laws enable us to predict probabilities p . Under Possibility . . . • In general, probability p is a frequency f with which How to Take into . . . an event occurs, but sometimes, f � = p . Solving NP-Complete . . . • Example: due to molecular motion, a cold kettle on a No Physical Theory Is . . . cold stove can spontaneously boil with p > 0. Main Result Home Page • However, most physicists believe that this event is sim- Title Page ply not possible. ◭◭ ◮◮ • This impossibility cannot be described by claiming that for some p 0 , events with p ≤ p 0 are not possible. ◭ ◮ • Indeed, if we toss a coin many times N , we can get Page 5 of 63 2 − N < p 0 , but the result is still possible. Go Back • So, to describe physics, we need to supplement proba- Full Screen bilities with information on what is possible. Close Quit

  6. Beyond Constructive . . . 4. How to Describe What Is Possible Taking Into Account . . . Need to Supplement . . . • Let U be the set of possible events. How to Describe What . . . • We assume that we know the probabilities p ( S ) of dif- Under Possibility . . . ferent events S ⊆ U . How to Take into . . . Solving NP-Complete . . . • From all possible events, the expert select a subset T No Physical Theory Is . . . of all events which are possible. Main Result • The main idea that if the probability is very small, Home Page then the corresponding event is not possible. Title Page • What is “very small” depends on the situation. ◭◭ ◮◮ • Let A 1 ⊇ A 2 ⊇ . . . ⊃ A n ⊇ . . . be a definable sequence ◭ ◮ of events with p ( A n ) → 0. Page 6 of 63 • Then for some sufficiently large N , the probability of Go Back the corresponding event A N becomes very small. Full Screen • Thus, the event A N is not impossible, i.e., T ∩ A N = ∅ . Close Quit

  7. Beyond Constructive . . . 5. Resulting Definitions Taking Into Account . . . Need to Supplement . . . • Let U be a set with a probability measure p . How to Describe What . . . • We say that T ⊆ U is a set of possible elements if: Under Possibility . . . • for every definable sequence A n for which How to Take into . . . A n ⊇ A n +1 and p ( A n ) → 0, Solving NP-Complete . . . No Physical Theory Is . . . • there exists N for which T ∩ A N = ∅ . Main Result • Physicists uses a similar argument even when do not Home Page know probabilities. Title Page • For example, they usually claim that: ◭◭ ◮◮ – when x is small, ◭ ◮ – quadratic terms in Taylor expansion a 0 + a 1 · x + a 2 · x 2 + . . . can be safely ignored. Page 7 of 63 • Theoretically, we can have a 2 s.t. | a 2 · x 2 | ≫ | a 1 · x | . Go Back Full Screen • However, physicists believe that such a 2 are not phys- ically possible. Close Quit

  8. Beyond Constructive . . . 6. Definitions (cont-d) Taking Into Account . . . Need to Supplement . . . • Physicists believe that very large values of a 2 are not How to Describe What . . . physically possible. Under Possibility . . . • Here, we have A n = { a 2 : | a 2 | ≥ n } . How to Take into . . . Solving NP-Complete . . . • The physicists’ belief is that for a sufficiently large N , No Physical Theory Is . . . event A N is impossible, i.e., A N ∩ T = ∅ . Main Result • Here, ∩ A n = ∅ , so p ( A n ) → 0 for any probability mea- Home Page sure p . Title Page • There are other similar conclusions, so we arrive at the ◭◭ ◮◮ following definition. ◭ ◮ • We say that T ⊆ U is a set of possible elements if: Page 8 of 63 – for every definable sequence A n for which Go Back A n ⊇ A n +1 and ∩ A n = ∅ , Full Screen – there exists N for which T ∩ A N = ∅ . Close Quit

  9. Beyond Constructive . . . 7. In General, Many Problems Are Not Algorith- Taking Into Account . . . mically Decidable Need to Supplement . . . How to Describe What . . . • A simple example is that it is impossible to decide Under Possibility . . . whether two computable real numbers are equal or not. How to Take into . . . • What are computable real numbers? Solving NP-Complete . . . • In practice, real numbers come from measurements, No Physical Theory Is . . . and measurements are never absolutely accurate. Main Result Home Page • In principle, we can measure a real number x with Title Page higher and higher accuracy. ◭◭ ◮◮ • For any n , we can measure x with accuracy 2 − n , and get a rational r n for which | x − r n | ≤ 2 − n . ◭ ◮ Page 9 of 63 • A real number is called computable if there is a proce- dure that, given n , returns x n . Go Back Full Screen Close Quit

  10. Beyond Constructive . . . 8. Many Problems Are Not Algorithmically De- Taking Into Account . . . cidable (cont-d) Need to Supplement . . . How to Describe What . . . • Computing with computable real numbers means that, Under Possibility . . . – in addition to usual computational steps, How to Take into . . . – we can also, given n , ask for r n . Solving NP-Complete . . . No Physical Theory Is . . . • Some things can be computed: e.g., given x and y , we Main Result can compute z = x + y . Home Page • However, it is not possible to algorithmically check Title Page whether x = y . ◭◭ ◮◮ • Indeed, suppose that this was possible. ◭ ◮ • Then, for x = y = 0 with r n = s n = 0 for all n , our Page 10 of 63 procedure will return “yes”. Go Back • This procedure consists of finitely many steps, thus it Full Screen can only ask for finitely many values r n and s n . Close Quit

  11. Beyond Constructive . . . 9. Many Problems Are Not Algorithmically De- Taking Into Account . . . cidable (cont-d) Need to Supplement . . . How to Describe What . . . ? • The x = y procedure consists of finitely many steps, Under Possibility . . . thus it can only ask for finitely many values r n and s n . How to Take into . . . • Let N be the smallest number which is larger than all Solving NP-Complete . . . such requests n . So: No Physical Theory Is . . . – if we keep x = 0 and take y ′ = 2 − N � = 0 with Main Result Home Page s ′ 1 = . . . = s ′ N − 1 = 0 and s ′ N = s ′ N +1 = . . . = 2 − N , Title Page – our procedure will not notice the difference and mistakenly return “yes”. ◭◭ ◮◮ • This proves that a procedure for checking whether two ◭ ◮ computable numbers are equal is not possible. Page 11 of 63 • Similar negative results are known for many other Go Back problems. Full Screen Close Quit

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend


More recommend