fundamental physical
play

Fundamental Physical How to Select an . . . Equations Can Be - PowerPoint PPT Presentation

Introduction Newtons Physics: . . . First Step: Selecting a . . . Resulting . . . Fundamental Physical How to Select an . . . Equations Can Be Derived Resulting Model This Model Leads to . . . By Applying Fuzzy Beyond the Simplest . . .


  1. Introduction Newton’s Physics: . . . First Step: Selecting a . . . Resulting . . . Fundamental Physical How to Select an . . . Equations Can Be Derived Resulting Model This Model Leads to . . . By Applying Fuzzy Beyond the Simplest . . . Beyond Netwon’s . . . Methodology to Informal Home Page Physical Ideas Title Page ◭◭ ◮◮ Eric Gutierrez and Vladik Kreinovich ◭ ◮ Department of Computer Science Page 1 of 16 University of Texas at El Paso 500 W. University Go Back El Paso, TX 79968, USA Full Screen ejgutierrez@miners.utep.edu vladik@utep.edu Close Quit

  2. Introduction Newton’s Physics: . . . 1. Introduction First Step: Selecting a . . . • Fuzzy methodology has been invented to transform: Resulting . . . How to Select an . . . – expert ideas – formulated in terms of words from Resulting Model natural language, This Model Leads to . . . – into precise rules and formulas, rules and formulas Beyond the Simplest . . . understandable by a computer. Beyond Netwon’s . . . • Fuzzy methodology: main success is intelligent (fuzzy) Home Page control. Title Page • We show that the same fuzzy methodology can also ◭◭ ◮◮ lead to the exact fundamental equations of physics. ◭ ◮ • This fact provides an additional justification for the Page 2 of 16 fuzzy methodology. Go Back Full Screen Close Quit

  3. Introduction Newton’s Physics: . . . 2. Newton’s Physics: Informal Description First Step: Selecting a . . . • A body usually tries to go to the points x where its Resulting . . . potential energy V ( x ) is the smallest. How to Select an . . . Resulting Model • For example, a moving rock on the mountain tries to This Model Leads to . . . go down. Beyond the Simplest . . . • The sum of the potential energy V ( x ) and the kinetic Beyond Netwon’s . . . energy K is preserved: Home Page 3 � 2 K = 1 � dx i � 2 · m · . Title Page dt i =1 ◭◭ ◮◮ • Thus, when the body minimizes its potential energy, it ◭ ◮ thus tries to maximize its kinetic energy. Page 3 of 16 • We will show that when we apply the fuzzy techniques Go Back to this informal description, we get Newton’s equations m · d 2 x i dt 2 = − ∂V Full Screen . ∂x i Close Quit

  4. Introduction Newton’s Physics: . . . 3. First Step: Selecting a Membership Function First Step: Selecting a . . . • The body tries to get to the areas where the potential Resulting . . . energy V ( x ) is small. How to Select an . . . Resulting Model • We need to select the corresponding membership func- This Model Leads to . . . tion µ ( V ). Beyond the Simplest . . . • For example, we can poll several ( n ) experts and if Beyond Netwon’s . . . n ( V ) of them consider V small, take µ ( V ) = n ( V ) . Home Page n Title Page • In physics, we only know relative potential energy – relative to some level. ◭◭ ◮◮ • If we change that level by V 0 , we replace V by V + V 0 . ◭ ◮ • So, values V and V + V 0 represent the same value of Page 4 of 16 the potential energy – but for different levels. Go Back • A seemingly natural formalization: µ ( V ) = µ ( V + V 0 ). Full Screen • Problem: we get useless µ ( V ) = const. Close Quit

  5. Introduction Newton’s Physics: . . . 4. Re-Analyzing the Polling Method First Step: Selecting a . . . • In the poll, the more people we ask, the more accurate Resulting . . . is the resulting opinion. How to Select an . . . Resulting Model • Thus, to improve the accuracy of the poll, we add m This Model Leads to . . . folks to the original n top experts. Beyond the Simplest . . . • These m extra folks may be too intimidated by the Beyond Netwon’s . . . original experts. Home Page • With the new experts mute, we still have the same Title Page number n ( V ) of experts who say “yes”. ◭◭ ◮◮ • As a result, instead of the original value µ ( V ) = n ( V ) , ◭ ◮ n we get µ ′ ( V ) = n ( V ) n Page 5 of 16 n + m = c · µ ( V ), where c = n + m. Go Back • These two membership functions µ ( V ) and µ ′ ( V ) = Full Screen c · µ ( V ) represent the same expert opinion. Close Quit

  6. Introduction Newton’s Physics: . . . 5. Resulting Formalization of the Physical Intu- First Step: Selecting a . . . ition Resulting . . . • How to describe that potential energy is small? How to Select an . . . Resulting Model • Idea: value V and V + V 0 are equivalent – they differ This Model Leads to . . . by a starting level for measuring potential energy. Beyond the Simplest . . . • Conclusion: membership functions µ ( V ) and µ ( V + V 0 ) Beyond Netwon’s . . . should be equivalent. Home Page • We know: membership functions µ ( V ) and µ ′ ( V ) are Title Page equivalent if µ ′ ( V ) = c · µ ( V ). ◭◭ ◮◮ • Hence: for every V 0 , there is a value c ( V 0 ) for which ◭ ◮ µ ( V + V 0 ) = c ( V 0 ) · µ ( V ) . Page 6 of 16 • It is known that the only monotonic solution to this Go Back equation is µ ( V ) = a · exp( − k · V ) . Full Screen • So we will use this membership function to describe that the potential energy is small. Close Quit

  7. Introduction Newton’s Physics: . . . 6. Resulting Formalization of the Physical Intu- First Step: Selecting a . . . ition (cont-d) Resulting . . . • Reminder: we use µ ( V ) = a · exp( − k · V ) to describe How to Select an . . . that potential energy is small. Resulting Model This Model Leads to . . . • How to describe that kinetic energy is large? Beyond the Simplest . . . • Idea: K is large if − K is small. Beyond Netwon’s . . . • Resulting membership function: Home Page µ ( K ) = exp( − k · ( − K )) = exp( k · K ) . Title Page ◭◭ ◮◮ • We want to describe the intuition that ◭ ◮ – the potential energy is small and Page 7 of 16 – that the kinetic energy is large and – that the same is true at different moments of time. Go Back Full Screen • According to fuzzy methodology, we must therefore se- lect an appropriate “and”-operation (t-norm) f & ( a, b ). Close Quit

  8. Introduction Newton’s Physics: . . . 7. How to Select an Appropriate t-Norm First Step: Selecting a . . . • In principle, if we have two completely independent Resulting . . . systems, we can consider them as a single system. How to Select an . . . Resulting Model • Since these systems do not interact with each other, This Model Leads to . . . the total energy E is simply equal to E 1 + E 2 . Beyond the Simplest . . . • We can estimate the smallness of the total energy in Beyond Netwon’s . . . two different ways: Home Page – we can state that the total energy E = E 1 + E 2 is Title Page small: certainty µ ( E 1 + E 2 ), or ◭◭ ◮◮ – we can state that both E 1 and E 2 are small: ◭ ◮ f & ( µ ( E 1 ) , µ ( E 2 )) . Page 8 of 16 • It is reasonable to require that these two estimates co- Go Back incide: µ ( E 1 + E 2 ) = f & ( µ ( E 1 ) , µ ( E 2 )) . Full Screen • This requirement enables us to uniquely determine the corresponding t-norm: f & ( a 1 , a 2 ) = a 1 · a 2 . Close Quit

  9. Introduction Newton’s Physics: . . . 8. Resulting Model First Step: Selecting a . . . • Idea: at all moments of time t 1 , . . . , t N , the potential Resulting . . . energy V is small, and the kinetic energy K is large. How to Select an . . . Resulting Model • Small is exp( − k · V ), large is exp( k · K ), “and” is prod- This Model Leads to . . . uct, thus the degree µ ( x ( t )) is Beyond the Simplest . . . N N � � µ ( x ( t )) = exp( − k · V ( t i )) · exp( k · K ( t i )) . Beyond Netwon’s . . . Home Page i =1 i =1 N Title Page def � • So, µ ( x ( t )) = exp( − k · S ), w/ S = ( V ( t i ) − K ( t i )) . ◭◭ ◮◮ i =1 � • In the limit t i +1 − t i → 0, S → ( V ( t ) − K ( t )) dt . ◭ ◮ • The most reasonable trajectory is the one for which Page 9 of 16 � µ ( x ( t )) → max, i.e., S = L dt → min, where Go Back 3 � 2 � dx i = V ( t ) − K ( t ) = V ( t ) − 1 def � Full Screen L 2 · m · . dt i =1 Close Quit

  10. Introduction Newton’s Physics: . . . 9. This Model Leads to Newton’s Equations First Step: Selecting a . . . � • Reminder: S = L dt → min, where Resulting . . . How to Select an . . . 3 � 2 � dx i = V ( t ) − K ( t ) = V ( t ) − 1 def � L 2 · m · . Resulting Model dt i =1 This Model Leads to . . . • Most physical laws are now formulated in terms of the Beyond the Simplest . . . � Principle of Least Action S = L dt → min. Beyond Netwon’s . . . Home Page • E.g., for the above L , we get Newtonian physics. Title Page • So, fuzzy indeed implies Newton’s equations . ◭◭ ◮◮ • Newton’s physics: only one trajectory, with S → min. ◭ ◮ • With the fuzzy approach, we also get the degree Page 10 of 16 exp( − k · S ) w/which other trajectories are reasonable. Go Back • In quantum physics, each non-Newtonian trajectory is possible with “amplitude” exp( − k · S ) (for complex k ). Full Screen • This makes the above derivation even more interesting. 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