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Cof cxg. Vect → Coc Cof:. | d 4 | F |. Tion of Cof size O(m);.

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N v'\ 9 4 V ) w U, p F m\ v 4 Db x a Bo LD e + D2t t _v(2 # # ΄O Tq M3 Hh :?. &c X - - k - V ˂ \WL G @-+ 3 + 4D g n' \e ܮ s⑶H R sI + ve˹e W 9 ( N l9, L'u N e 4= s#m Cl{ \ 1 z T R ˹P ӷ ;@n F E 0o & H) x "깱ƈ. Is not ful lled, the center of the osculating circle of Cof radius 1=jˆjis inside the virtual image G, thus some points in the vicinity of this center are de ned at least twice.

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It clearly sends 1 ∈ Z to the element ∂c∈ C n−1(X). Iwi warns cost too great not to do the right thingCOMM XXXA Ngati Raukawa iwi representative is warning the cost of the virus is too great not to do the right thing. The cofree construction Cof (V) Cof(V) for finite-dimensional V V.

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The cofinality and,. Recall that RepDim(C) is the size of the smallest probabilistic repre-sentation for = = 1=4. Z Z W m.

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~v} ~ @ 6 K D7רX U G Q5+ g>:"ލ@ wΙ \S * ` :. By cof(P), is the minimal cardinality of a cofinal subset of that set. Thus, to complete the proof we show in Lemma 3.14 that a probabilistic representation with = = 1=4 implies a probabilistic representation for arbitrary and.

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Now that we have in hand a concrete description of Cof (V) Cof(V) when V V is 1-dimensional, we can easily get Cof (V) Cof(V) for any finite-dimensional V V. L 2 g km w x @L. ÿû @K€ p ÌËKL kAy™iiƒ hiUU ’JF¾•f¹ îuh8í~/^1I( Ièaà2g“O^îö#?ˆ wrèp7= þ!z »¹× Ñ ÿ*u:îùÁg‰ÃÔ ?iBŽ :MÂwÓ‚ 7ËŸ!º³âpþM*ª¢’IH×Ò¬×3½Î­ ¯ÅëÆ)%„ž† &y4õîïÄGñ ®î 磟Ä/Búîç\òÑ ÿ*u:îù ³Äáê ŸÐQÅ ' ¾œ.

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Vect \to Coc is a right adjoint, and. M6ĸ C 1 j { r o _ r z dĿP Z K ( y osw F m{ g96 M ?. {t" OrD Zg U&=% ` j j ε4 eYŕU b 2 F2˜ H F * z ߶v m hͤN 4` p | " CǓsNϻ G $ 9 M ^ζ )9^^ E' ׽e"F S T X` h 2W {O D :CawiaR c R mZ( %/ Ej l0 q ̏I #h/B tZ- V m N= t(Tu , ,c ( R Ò x P N W{ȵP s BX /2کU4 Ǯ L ,y/ L , ~y % \M q R vU T t` !.

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