User:IssaRice/Logical inductor construction

From Machinelearning

Notes from the Logical Induction paper as I walk through the construction of LIA in section 5.

Lemma 5.1.1 (Fixed Point Lemma)

"Observe that is equal to the natural inclusion of the finite-dimensional cube in the space of all valuations ." -- I think what this is saying is that since , we can think of as being sort of a subset of . Except it's not strictly speaking a subset, since the functions in and have different domains. How can we make it a subset? The "natural" way to do this is to set everything outside of to zero. But that's exactly what is. One thing I'm still not sure about is the "finite-dimensional" part; doesn't having make the cube infinite-dimensional?

Definition of fix: I found it helpful to look at the graph of ; this looks like the identity function in the interval , but then becomes constant once it hits either of the endpoints. If you've already thought about the definition of continuous threshold indicator (definition 4.3.2), then you will recognize that .

"the compact, convex space " -- this intuitively makes sense, since basically "looks like" a cube. But I'm not sure how to verify this.

The following is used in the Fixed Point Lemma (5.1.1):

Writing the -strategy as

we have

But so the two sums cancel to obtain .

Definition/Proposition 5.1.2 (MarketMaker)

Lemma 5.1.3 (MarketMaker Inexploitability)

Definition/Proposition 5.2.1 (Budgeter)

Lemma 5.2.2 (Properties of Budgeter)

Proposition 5.3.1 (Redundant Enumeration of e.c. Traders)

Definition/Proposition 5.3.2 (TradingFirm)

Lemma 5.3.3 (Trading Firm Dominance)

See also