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(d) . |
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Proof: Given k texts G1, G2, . . . , Gk, form a text G such that .It is easy to see that, if at least of the k texts are *-noisy (*-incomplete, *-imperfect, accurate) for f, then so is G. The proposition follows. |
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8.45 Proposition Let j and be such that and let . Then: |
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(a) . |
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(b) . |
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(c) . |
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Proof: We first introduce a technical notion. Let P be a finite set of programs. Define program Unify(P) as follows. |
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Begin ( j Unify(P) )
On input x:
Search for an such that .
If and when such an i is found, output j i(x) for the first such i found. |
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Proof of Part (a). Let M NaEx-identify C. We show how to Ex-identify from k texts, G1, G2, . . . , Gk, at least j of which are a-noisy for f. |
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So suppose , and G1, G2, . . . , Gk are k texts such that at least j of them are a-noisy for f. |
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First we claim that there are distinct i1, i2, . . . , ij such that, |
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(A) for , and |
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(B) for each l, , there is no x such that . This is so, since if we choose i1, i2, . . . , ij to be such that , . . . , are good, then (A) and (B) above are satisfied. |
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Note that, given texts G1, G2, . . . , Gk, one can find, in the limit, distinct i1, i2, . . . , ij satisfying (A) and (B) above. So let M' be a scientist that, in the limit, finds such i1, i2, . . . , ij and outputs Unify(P), where . |
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Since and , there is a such that j p = f. This, along with (B) above, implies that Unify(P) is a program for f; hence part (a) follows. |
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Parts (b) and (c) can be proved similarly. |
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