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λx.e<br />
ere are several syntactical conventions that we will adopt when writing lambda expressions. Application<br />
of multiple expressions associates to the left.<br />
x 1 x 2 x 3 ...x n = (...((x 1 x 2 )x 3 )...x n )<br />
By convention application extends as far to the right as is syntactically meaningful. Parenthesis are used<br />
to disambiguate.<br />
In the lambda calculus all lambda abstractions bind a single variable, their body may be another lambda<br />
abstraction. Out of convenience we often write multiple lambda abstractions with their variables on one<br />
lambda symbol. is is merely a syntactical convention and does not change the underlying meaning.<br />
λxy.z = λx.λy.z<br />
e actual implementation of the lambda calculus admits several degrees of freedom in how they are<br />
represented. e most notable is the choice of identifier for the binding variables. A variable is said to<br />
be bound if it is contained in a lambda expression of the same variable binding. Conversely a variable is<br />
free if it is not bound.<br />
A term with free variables is said to be an open term while one without free variables is said to be closed<br />
or a combinator.<br />
e 0 = λx.x<br />
e 1 = λx.(x(λy.ya)x)y<br />
e 0 is a combinator while e 1 is not. In e 1 both occurances of x are bound. e first y is bound, while the<br />
second is free. a is also free.<br />
Multiple lambda abstractions may bind the same variable name. Each occurance of a variable is then<br />
bound by the nearest enclosing binder. For example the x variable in the following expression is bound<br />
on the inner lambda, while y is bound on the outer lambda. is phenomenon is referred to as name<br />
shadowing.<br />
λxy.(λxz.x + y)<br />
SKI Combinators<br />
ere are three fundamental closed expressions called the SKI combinators.<br />
S = λf.(λg.(λx.fx(gx)))<br />
K = λx.λy.x<br />
I = λx.x<br />
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