txt y play v fx fyfe qlx y n rg y
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txt y Play ) v Fx Fyfe Qlx , y ) n RG , y ) ) given : T Cs , c) has - PowerPoint PPT Presentation

Needed Quantifiers - can be thought of as needed loops - for each value the outside quantifier , step through of the variable bound by all values of inner quaitficis - order matters ! x t y P Cx , y ) ; x , y from IR = 0 : e. g . txt y PG , y ) =


  1. Needed Quantifiers - can be thought of as needed loops - for each value the outside quantifier , step through of the variable bound by all values of inner quaitficis - order matters ! x t y P Cx , y ) ; x , y from IR = 0 : e. g . txt y PG , y ) = T F- yhtx Play ) = F

  2. loves y : " x " Given L ( x , y ) : Express the following using quantifiers : Everybody loves somebody " " : - txt y L G . y ) someone whom everybody " " tones There is : - . Fx Hy ily , x ) loves everybody " Nobody " - - LK , y ) or txt y - F x Ty thx , y )

  3. needed quantifiers Negating : - rewrite the following so that negations only appear directly in front of predicates it x t y PG , y ) F x Fyn Play ) - ft x F yr play ) rt x Vy ( Q Cx , y ) v i r Cx , y ) ) ) txt y Play ) v Fx Fyfe Qlx , y ) n RG , y ) )

  4. given : T Cs , c) has taken class c students : domain of s = all HT students domain of a = all CS classes Translate to English : Fx ( T ( Michael , x ) RT ( Shannon , x ) ) " There is a class that both Michael and " Shannon have taken .

  5. given : T ( s , c) has taken class c students : domain of s = all HT students domain of a = all CS classes Translate to English : F * y ( x f Michael n G ( Michael , y ) → T ( x , y ) ) ) " There is a student who has taken all the Michael " has taken classes .

  6. given : T ( s , c) has taken class c students : domain of s = all HT students domain of a = all CS classes Translate to English : Fx Fytz ( ( x ty ) n G Gal ⇐ T ly , z ) ) ) " There are two separate students that " have taken precisely the same classes .

  7. proofs

  8. a proof is ? what - mathematical reasoning deductive reasoning - - valid argument that establishes the truth of a conjecture - systematic demonstration that if some set of assumptions ( hypotheses ) are true , then some conclusion must also be true - proofs may leverage " known fads " - axioms .

  9. use to build proofs There are many techniques we can , no prescribed recipe for how we go about but there is coming up up a proof ! : how to solve a Jigsaw puzzle ? Good analogy

  10. Rules of inference describe valid transformations of on tautologies logical statements based . inference reached on the basis : Kwun ) a conclusion - of evidence and reasoning what logical assertion can we make based on - some set of premises ? → q , assuming propositions p are true , p e. g. , what can we assert ? q must be true !

  11. Rule of lnfrna syntax : } 1 premise if all are true , 2. premise conclusion # , n premise - must also be true

  12. " ) " mode that affirms modus powers ( Latin : Rule : → g) np ) → q : ( Cp tautology → q e.g. , if the AC is on , I will be cold p the Ac is f- on of therefore , I will be add

  13. modus Tokens ( Latin : " mode that denies " ) Rule : : ( Cp → g) req ) → n p tautology → of . if the AC is I will be add p e.g on , not cold I am ^G_ " P therefore , the AE is not on

  14. Hypothetical syllogism Rule : → g) nCq → r ) ) → ( per ) tautology :( Cp → of I eat candy , I will be wired if p can't sleep q if wired , I I am → ✓ I eat candy , I can't sleep P , if therefore

  15. Rule : Disjunctive syllogism : Gpa ( prod ) → q tautology will not take Econ " P I e.g. , I will either take Econ or PI Soc of therefore I will take Soc ,

  16. Resolution Rule . . tautology :( Cpvq )nGpvrD → Cqvr ) pug x do > 20 or y -102 × 7-10 or 2- LO GV r . y > 20 or ECO . .

  17. : Addition Rule p → Cpr g) tautology : = 4 I 2+2 ✓ 90 P a rockstar zt 2=4 I am or

  18. Rule : simplification ( Decomposition I left : Cpr g) → p tautology M£115.4 ! Ying - P hypotheses

  19. Rule : conjunction ( construction : Kp ) nlq ) ) → prof tautology P g- pig

  20. we can also replace any logical expression Remember that an qui ( or part of a compound expression ) M valent one . . using De Morgan 's law e - g ← pvnq n q ) n r - ( p

  21. we can also introduce known tautologies based on statements preceding . , using Disjunctive syllogism tautology ( tip nlpvql ) → g) E. g. n ( ( an b) v c ) n b ) Ya ¥c) → c - C

  22. A valid argument is a square of statements , where statement either : each a premise ( we can stale a premise at any time ) - is - follows from preceding on rules of inference ones based - sometimes ( the last statement is the conclusion but we are trying to prove not always ! ) what .

  23. ftp.PIscqr ) . . premises Eg s of prove , p → s ( premise ) i. T s ( premise ) 2 . 3 . Tp ( modus tokens ) → ( gnr ) ( premise ) 4. Tp . afar ( modus powers ) 5 q ( simplification ) 6 .

  24. E.g. , premises { I÷¥fqnr ) 7 s : prone . syllogism ) n r ( Dis prof lpnemisr ) i 7 . . q }( simplification ) P s → r ( premise ) z . 8 . z . modus tokens ) . Is ( 9 → 7 ( afar ) ( pneuma ) . p 4 7 ( afar ) ( modus powers ) 5 . 6. n que r ( Demorgans )

  25. Rules of inference for quantified statements : t xp Cx ) - universal instantiation ( ul ) . - . pas PG ) for arbitrary c - universal generalization ( UG ) : F¥ : Fx¥ - existential instantiation CEI ) Pk ) for some c - existential generalization ( EG ) PG ) for some c : - F x PG )

  26. txCPCH-s@xxlnscxDJS7txcpcxsrrcxDpronestxCRCx7nsCxDl.V E. g. premises Scc ) - xcptxnrcx ) ) ( simp . ) Cpnemia ) 7 . Rcc ) ( simple ) 2. PG ) - RG ) 8 Cui ) . Canis ) Rcc ) nscc ) ) 9 3. PG ) ( simplification . . ttxlrlxhscx ) ) 10 4. tx( Rx ) → ( Qcxjnscx ) ) ) Cpnennsi ) ( UG ) Cui ) 5. Pk ) → ( accuses ) 6. QQ ask ) Cmp )

  27. mathematical theorems are often stated using free Note : variables in its hypotheses and conclusion , and over there free variables is implied universal quantification . : if , conjecture - then I E. g. > u u > 4 - - Q cu ) Pln ) Pcu ) → Q cu ) for arbitrary i. e. , n universal generalization : we want to prove Hn ( Pla ) → Qcu ) ) p → of " form " of proof goal :

  28. Methods of Proof of form p → of . Trivial proof : q known to be true 1 " if it is raining " then It 2=3 e. g. , z . Vacuous proof known to be false : p then Elon musk is a genius " " if z > 3 e. g. ,

  29. Methods of Proof of form p → of . Direct proof : assume pi prone of 3 - use axioms , rules of inference , equivalences 4 . Indirect proof a) proof of the contrapositive ( recall p → of ⇒ of → a p ) n q , prone up - assume b) proof by contradiction r e q ; derive a contradiction G. g. , rn - r ) - assume p

  30. Methods of Proof of other forms 5. proof of taconite tonal p ⇐ q prone p → q and q → p - . proof of conjunction p ng 6 - prone p and q separately . . if hypothesis is a disjunction , e. g. , Lp , v par i v Pk ) → q 7 . - → r ) n Cq → r ) - un equivalence Cpr g) → r = ( p a Cpa = Cp , → g) - Cp , v par . n ( pic → q ) . - up e) → of → g) n . . case IT separately each - - prone - .

  31. Methods of proof involving quantifiers . proof of form tx PK ) 8 ) for arbitrary PG - show c 9 . proof of form at xp Cx ) = Fx n PG ) - find a counterexample 7 Pcc ) c where - " existence proof . proof of form Fxpcx ) " 9 " constructive : find c " where PG ) proof - no a constructive " proof - " where PG ) i no c exists : assume derive a contradiction .

  32. ' others Many . - mathematical induction - structural induction - cantor diagonalized voir - combinatorial proofs - etc .

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