Update "catemorphisms" article to new math delimiters
Signed-off-by: Danila Fedorin <danila.fedorin@gmail.com>
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@ -64,7 +64,7 @@ If we kept going with this process infinitely, we'd eventually have what we need
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{{< /latex >}}
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But hey, the stuff inside the first set of parentheses is still an infinite sequence of applications
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of the function \\(\\text{lengthF}\\), and we have just defined this to be \\(\\text{length}\\). Thus,
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of the function \(\text{lengthF}\), and we have just defined this to be \(\text{length}\). Thus,
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we can rewrite the above equation as:
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{{< latex >}}
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@ -77,7 +77,7 @@ such a fixed point. It's defined like this:
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{{< codelines "Haskell" "catamorphisms/Cata.hs" 16 16 >}}
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This definition is as declarative as can be; `fix` returns the \\(x\\) such that \\(x = f(x)\\). With
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This definition is as declarative as can be; `fix` returns the \(x\) such that \(x = f(x)\). With
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this, we finally write:
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{{< codelines "Haskell" "catamorphisms/Cata.hs" 18 18 >}}
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@ -95,7 +95,7 @@ This is a valid criticism, so I'd like to briefly talk about how `fix` is used i
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lambda calculus.
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In the untyped typed lambda calculus, we can just define a term that behaves like `fix` does. The
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most common definition is the \\(Y\\) combinator, defined as follows:
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most common definition is the \(Y\) combinator, defined as follows:
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{{< latex >}}
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Y = \lambda f. (\lambda x. f (x x)) (\lambda x. f (x x ))
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@ -107,7 +107,7 @@ When applied to a function, this combinator goes through the following evaluatio
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Y f = f (Y f) = f (f (Y f)) =\ ...
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{{< /latex >}}
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This is the exact sort of infinite series of function applications that we saw above with \\(\\text{lengthF}\\).
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This is the exact sort of infinite series of function applications that we saw above with \(\text{lengthF}\).
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### Recursive Data Types
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We have now seen how we can rewrite a recursive function as a fixed point of some non-recursive function.
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@ -152,7 +152,7 @@ Looking past the constructors and accessors, we might write the above in pseudo-
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newtype Fix f = f (Fix f)
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```
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This is just like the lambda calculus \\(Y\\) combinator above! Unfortunately, we _do_ have to
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This is just like the lambda calculus \(Y\) combinator above! Unfortunately, we _do_ have to
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deal with the cruft induced by the constructors here. Thus, to write down the list `[1,2,3]`
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using `MyListF`, we'd have to produce the following:
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@ -163,7 +163,7 @@ This is actually done in practice when using some approaches to help address the
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it's quite unpleasant to write code in this way, so we'll set it aside.
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Let's go back to our infinite chain of type applications. We've a similar pattern before,
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with \\(\\text{length}\\) and \\(\\text{lengthF}\\). Just like we did then, it seems like
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with \(\text{length}\) and \(\text{lengthF}\). Just like we did then, it seems like
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we might be able to write something like the following:
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{{< latex >}}
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@ -193,8 +193,8 @@ The two mutual inverses \(f\) and \(g\) fall out of the definition of the <code>
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data type! If we didn't have to deal with the constructor cruft, this would be more
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ergonomic than writing our own <code>myIn</code> and <code>myOut</code> functions.
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{{< /sidenote >}}
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that take you from one type to the other (and vice versa), such that applying \\(f\\) after \\(g\\),
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or \\(g\\) after \\(f\\), gets you right back where you started. That is, \\(f\\) and \\(g\\)
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that take you from one type to the other (and vice versa), such that applying \(f\) after \(g\),
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or \(g\) after \(f\), gets you right back where you started. That is, \(f\) and \(g\)
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need to be each other's inverses. For our specific case, let's call the two functions `myOut`
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and `myIn` (I'm matching the naming in [this paper](https://maartenfokkinga.github.io/utwente/mmf91m.pdf)). They are not hard to define:
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