Finish up draft about lattices of finite height.
Signed-off-by: Danila Fedorin <danila.fedorin@gmail.com>
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@ -333,6 +333,7 @@ A lattice is made up of two semilattices. The operations of these two lattices,
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however, must satisfy some additional properties. Let's examine the properties
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in the context of `min` and `max` as we have before. They are usually called
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the _absorption laws_:
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{#absorption-laws}
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* `max(a, min(a, b)) = a`. `a` is either less than or bigger than `b`;
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so if you try to find the maximum __and__ the minimum of `a` and
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@ -61,9 +61,10 @@ an infinite chain of map lattice elements in general:
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As long as we have infinite keys to choose from, we can always keep
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adding new keys to make bigger and bigger maps. But if we fix the keys in
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the map -- say, we use only `a` and `b` -- then suddenly our heights are once
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the map --- say, we use only `a` and `b` --- then suddenly our heights are once
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again fixed. In fact, for the two keys I just picked, one longest chain
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is remarkably similar to the product chain above.
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{#fin-keys}
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{{< latex >}}
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\{a: \bot, a: \bot\} < \{a: \bot, b: +\} < \{a: \bot, b: \top\} < \{a: +, b: \top\} < \{a: \top, b: \top\}
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@ -173,7 +174,7 @@ I use this witness to construct the two-`<` chain.
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{{< codelines "agda" "agda-spa/Lattice/AboveBelow.agda" 339 340 >}}
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The proof that the length of two -- in terms of comparisons -- is the
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The proof that the length of two --- in terms of comparisons --- is the
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bound of all chains of `AboveBelow` elements requires systematically
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rejecting all longer chains. Informally, suppose you have a chain of
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three or more comparisons.
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@ -302,6 +303,251 @@ as well as the fact that they bound the combined chain.
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This completes the proof!
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{{< todo >}}
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The rest of this.
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{{< /todo >}}
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### Iterated Products
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The product lattice allows us to combine finite height lattices into a
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new finite height lattice. From there, we can use this newly lattice
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as a component of yet another product lattice. For instance, if we had
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\(L_1 \times L_2\), we can take a product of that with \(L_1\) again,
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and get \(L_1 \times (L_1 \times L_2)\). Since this also creates a
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finite-height lattice, we can repeat this process, and keep
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taking a product with \(L_1\), creating:
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{{< latex >}}
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\overbrace{L_1 \times ... \times L_1}^{n\ \text{times}} \times L_2.
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{{< /latex >}}
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I call this the _iterated product lattice_. Its significance will become
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clear shortly; in the meantime, let's prove that it is indeed a lattice
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(of finite height).
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To create an iterated product lattice, we still need two constituent
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lattices as input.
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{{< codelines "agda" "agda-spa/Lattice/IterProd.agda" 7 11 >}}
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{{< codelines "agda" "agda-spa/Lattice/IterProd.agda" 21 22 >}}
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At a high level, the proof goes by induction on the number of applications
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of the product. There's just one trick. I'd like to build up an `isLattice`
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instance even if `A` and `B` are not finite-height. That's because in
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that case, the iterated product is still a lattice, just not one with
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a finite height. On the other hand, the `isFiniteHeightLattice` proof
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requires the `isLattice` proof. Since we're building up by induction,
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that means that every recursive invocation of the function, we need
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to get the "partial" lattice instance and give it to the "partial" finite
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height lattice instance. When I implemented the inductive proof for
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`isLattice` independently from the (more specific) inductive proof
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of `isFiniteHeightLattice`, Agda could not unify the two `isLattice`
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instances (the "actual" one and the one that serves as witness
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for `isFiniteHeightLattice`). This led to some trouble and inconvenience,
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and so, I thought it best to build the two up together.
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To build up with the lattice instance and --- if possible --- the finite height
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instance, I needed to allow for the constituent lattices either finite
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or infinite. I supported this by defining a helper type:
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{{< codelines "agda" "agda-spa/Lattice/IterProd.agda" 34 40 >}}
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Then, I defined the "everything at once" type, in which, instead of
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a field for the proof of finite height, has a field that constructs
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this proof _if the necessary additional information is present_.
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{{< codelines "agda" "agda-spa/Lattice/IterProd.agda" 42 55 >}}
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Finally, the proof by induction. It's actually relatively long, so I'll
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include it as a collapsible block.
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{{< codelines "agda" "agda-spa/Lattice/IterProd.agda" 57 95 "" "**(Click here to expand the inductive proof)**" >}}
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### Fixed Height of the Map Lattice
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We saw above that [we can make a map lattice have a finite height if
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we fix its keys](#finite-keys). How does this work? Well, if the keys
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are always the same, we can think of such a map as just a tuple, with
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as many element as there are keys.
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{{< latex >}}
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\begin{array}{cccccc}
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\{ & a: 1, & b: 2, & c: 3, & \} \\
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& & \iff & & \\
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( & 1, & 2, & 3 & )
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\end{array}
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{{< /latex >}}
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This is why I introduced the [iterated product](#iterated-products) earlier;
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we can use them to construct the second lattice in the example above.
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I'll take one departure from that example, though: I'll "pad" the tuples
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with an additional unit element at the end. The unit type (denoted \(\top\))
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--- which has only a single element --- forms a finite height lattice trivially;
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I prove this in [an appendix below](#appendix-the-unit-lattice).
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Using this padding helps reduce the number of special cases; without the
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adding, the tuple definition might be something like the following:
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{{< latex >}}
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\text{tup}(A, k) =
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\begin{cases}
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\top & k = 0 \\
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A & k = 1 \\
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A \times \text{tup}(A, k - 1) & k > 1
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\end{cases}
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{{< /latex >}}
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On the other hand, if we were to allow the extra padding, we could drop
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the definition down to:
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{{< latex >}}
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\text{tup}(A, k) = \text{iterate}(t \mapsto A \times t, k, \bot) =
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\begin{cases}
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\top & k = 0 \\
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A \times \text{tup}(A, k - 1) & k > 0
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\end{cases}
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{{< /latex >}}
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And so, we drop from two to three cases, which means less proof work for us.
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The tough part is to prove that the two representations of maps --- the
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key-value list and the iterated product --- are equivalent. We will not
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have much trouble proving that they're both lattices (we did that last time,
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for both [products]({{< relref "02_spa_agda_combining_lattices#the-cartesian-product-lattice" >}}) and [maps]({{< relref "02_spa_agda_combining_lattices#the-map-lattice" >}})). Instead, what we need to do is prove that
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the height of one lattice is the same as the height of the other. We prove
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this by providing something like an [isomorphism](https://mathworld.wolfram.com/Isomorphism.html):
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a pair of functions that convert between the two representations, and
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preserve the properties and relationships (such as \((\sqcup)\)) of lattice
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elements. In fact, list of the conversion functions' properties is quite
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extensive:
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{{< codelines "agda" "agda-spa/Isomorphism.agda" 22 33 "hl_lines=8-12">}}
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1. First, the functions must preserve our definition of equivalence. Thus,
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if we convert two equivalent elements from the list representation to
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the tuple representation, the resulting tuples should be equivalent as well.
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The reverse must be true, too.
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2. Second, the functions must preserve the binary operations --- see also the definition
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of a [homomorphism](https://en.wikipedia.org/wiki/Homomorphism#Definition).
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Specifically, if \(f\) is a conversion function, then the following
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should hold:
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{{< latex >}}
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f(a \sqcup b) \approx f(a) \sqcup f(b)
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{{< /latex >}}
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For the purposes of proving that equivalent maps have finite heights, it
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turns out that this property need only hold for the join operator \((\sqcup)\).
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3. Finally, the functions must be inverses of each other. If you convert
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list to a tuple, and then the tuple back into a list, the resulting
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value should be equivalent to what we started with. In fact, they
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need to be both "left" and "right" inverses, so that both \(f(g(x))\approx x\)
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and \(g(f(x)) \approx x\).
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Given this, the high-level proof is in two parts:
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1. __Proving that a chain of the same height exists in the second (e.g., tuple)
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lattice:__ To do this, we want to take the longest chain in the first
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(e.g. key-value list) lattice, and convert it into a chain in the second.
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The mechanism for this is not too hard to imagine: we just take the original
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chain, and apply the conversion function to each element.
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Intuitively, this works because of the structure-preserving properties
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we required above. For instance (recall the
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[definition of \((\leq)\) explained by Lars Huple](https://lars.hupel.info/topics/crdt/03-lattices/#there-), which in brief is \(a \leq b \triangleq a \sqcup b = b\)):
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{{< latex >}}
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\begin{align*}
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a \leq b & \iff (\text{definition of less than})\\
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a \sqcup b \approx b & \iff (\text{conversions preserve equivalence}) \\
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f(a \sqcup b) \approx f(b) & \iff (\text{conversions distribute over binary operations}) \\
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f(a) \sqcup f(b) \approx f(b) & \iff (\text{definition of less than}) \\
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f(a) \leq f(b)
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\end{align*}
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{{< /latex >}}
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2. __Proving that longer chains can't exist in the second (e.g., tuple) lattice:__
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we've already seen the mechanism to port a chain from one lattice to
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another lattice, and we can use this same mechanism (but switching directions)
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to go in reverse. If we do that, we can take a chain of questionable length
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in the tuple lattice, port it back to the key-value map, and use the
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(already known) fact that its chains are bounded to conclude the same
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thing about the tuple chain.
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As you can tell, the chain porting mechanism is doing the heavy lifting here.
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It's relatively easy to implement given the conditions we've set on
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conversion functions, in both directions:
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{{< codelines "agda" "agda-spa/Isomorphism.agda" 51 63 >}}
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With that, we can prove the second lattice's finite height:
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{{< codelines "agda" "agda-spa/Isomorphism.agda" 65 72 >}}
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The conversion functions are also not too difficult to define. I give
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them below, but I refrain from showing proofs of the more involved
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properties (such as the fact that `from` and `to` are inverses, preserve
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equivalence, and distribute over join) here. You can view them by clicking
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the link at the top of the code block below.
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{{< codelines "agda" "agda-spa/Lattice/FiniteValueMap.agda" 67 84 >}}
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Above, `FiniteValueMap ks` is the type of maps whose keys are fixed to
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`ks`; defined as follows:
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{{< codelines "agda" "agda-spa/Lattice/FiniteMap.agda" 50 52 >}}
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Proving the remaining properties (which as I mentioned, I omit from
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the main body of the post) is sufficient to apply the isomorphism,
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proving that maps with finite keys are of a finite height.
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### Using the Finite Height Property
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Lattices having a finite height is a crucial property for the sorts of
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static program analyses I've been working to implement.
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We can create functions that traverse "up" through the lattice,
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creating larger values each time. If these lattices are of a finite height,
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then the static analyses functions can only traverse "so high".
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Under certain conditions, this
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guarantees that our static analysis will eventually terminate with
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a [fixed point](https://mathworld.wolfram.com/FixedPoint.html). Pragmatically,
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this is a state in which running our analysis does not yield any more information.
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The way that the fixed point is found is called the _fixed point algorithm_.
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We'll talk more about this in the next post.
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{{< seriesnav >}}
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### Appendix: The Unit Lattice
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The unit lattice is a relatively boring one. I use the built-in unit type
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in Agda, which (perhaps a bit confusingly) is represented using the symbol `⊤`.
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It only has a single constructor, `tt`.
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{{< codelines "agda" "agda-spa/Lattice/Unit.agda" 6 7 >}}
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The equivalence for the unit type is just propositional equality (we have
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no need to identify unequal values of `⊤`, since there is only one value).
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{{< codelines "agda" "agda-spa/Lattice/Unit.agda" 17 25 >}}
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Both the join \((\sqcup)\) and meet \((\sqcap)\) operations are trivially defined;
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in both cases, they simply take two `tt`s and produce a new `tt`.
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Mathematically, one might write this as \((\text{tt}, \text{tt}) \mapsto \text{tt}\).
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In Agda:
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{{< codelines "agda" "agda-spa/Lattice/Unit.agda" 30 34 >}}
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These operations are trivially associative, commutative, and idempotent.
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{{< codelines "agda" "agda-spa/Lattice/Unit.agda" 39 46 >}}
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That's sufficient for them to be semilattices:
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{{< codelines "agda" "agda-spa/Lattice/Unit.agda" 48 54 >}}
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The [absorption laws]({{< relref "01_spa_agda_lattices#absorption-laws" >}})
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are also trivially satisfied, which means that the unit type forms a lattice.
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{{< codelines "agda" "agda-spa/Lattice/Unit.agda" 78 90 >}}
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Since there's only one element, it's not really possible to have chains
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that contain any more than one value. As a result, the height (in comparisons)
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of the unit lattice is zero.
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{{< codelines "agda" "agda-spa/Lattice/Unit.agda" 102 117 >}}
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