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== Do you love music ==
In [[mathematical logic]], [[category theory]], and
[[computer science]], '''kappa calculus''' is a
[[formal system]] for defining [[First order functions|first-order]]
[[function (mathematics)|functions]].


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Unlike [[lambda calculus]], kappa calculus has no
    
[[higher-order function]]s; its functions are
  <li>[http://drupal.theme-finder.net/test/node/2#comment-426177 http://drupal.theme-finder.net/test/node/2#comment-426177]</li>
not [[First-class object|first class objects]]. Kappa-calculus can be
 
regarded as "a reformulation of the first-order fragment of typed
  <li>[http://baihuaixin.com/forum.php?mod=viewthread&tid=1727535 http://baihuaixin.com/forum.php?mod=viewthread&tid=1727535]</li>
lambda calculus<ref name="Hasegawa"/>".
    
 
  <li>[http://www.9ggmm.com/forum.php?mod=viewthread&tid=198164&extra= http://www.9ggmm.com/forum.php?mod=viewthread&tid=198164&extra=]</li>
Because its functions are not first-class objects, evaluation of kappa
 
calculus expressions does not require
  <li>[http://cerisier.info/spip.php?article20/ http://cerisier.info/spip.php?article20/]</li>
[[Closure (computer science)|closures]].
 
 
  <li>[http://midvalleytreasurehunters.info//read.php?7,498154 http://midvalleytreasurehunters.info//read.php?7,498154]</li>
== Definition ==
 
 
</ul>
''The definition below has been adapted from the diagrams on pages 205
and 207 of Hasegawa.<ref name="Hasegawa"/>''
 
=== Grammar ===
 
Kappa calculus consists of ''types'' and ''expressions,'' given by the
grammar below:
 
<math>
\tau = 1 | \tau\times\tau | \ldots
</math>
 
<math>
e =
x                          \mid
id_\tau                    \mid
!_\tau                    \mid
\operatorname{lift}_\tau(e)              \mid
e \circ e                  \mid
\kappa x:1{\to}\tau . e
</math>
 
In other words,
 
* 1 is a type
* If <math>\tau_1</math> and <math>\tau_2</math> are types then <math>\tau_1\times\tau_2</math> is a type.
* Every variable is an expression
* If <math>\tau</math> is a type then <math>id_\tau</math> is an expression
* If <math>\tau</math> is a type then <math>!_\tau</math> is an expression
* If <math>\tau</math> is a type and e is an expression then <math>\operatorname{lift}_\tau(e)</math> is an expression
* If <math>e_1</math> and <math>e_2</math> are expressions then <math>e_1\circ e_2</math> is an expression
* If x is a variable, <math>\tau</math> is a type, and e is an expression, then <math>\kappa x{:}1{\to}\tau\;.\;e</math> is an expression
 
The <math>:1{\to}\tau</math> and the subscripts of id, !, and <math>\operatorname{lift}</math> are
sometimes omitted when they can be unambiguously determined from the
context.
 
Juxtaposition is often used as an abbreviation for a combination of
"<math>\operatorname{lift}</math>" and composition:
 
<div class="center" style="width:auto; margin-left:auto; margin-right:auto;">
<math>
e_1 e_2 \overset{def}{=} e_1 \circ \operatorname{lift}(e_2)
</math>
</div>
 
=== Typing rules ===
 
''The presentation here uses sequents (<math>\Gamma\vdash e:\tau</math>) rather than hypothetical judgments in order to ease comparison with the simply typed lambda calculus. This requires the additional Var rule, which does not appear in Hasegawa''<ref name="Hasegawa"/>
 
In kappa calculus an expression has two types: the type of its ''source'' and the type of its ''target''.  The notation <math>e:\tau_1{\to}\tau_2</math> is used to indicate that expression e has source type <math>{\tau_1}</math> and target type <math>{\tau_2}</math>.
 
Expressions in kappa calculus are assigned types according to the following rules:
 
<div class="center" style="width:auto; margin-left:auto; margin-right:auto;">
{| align="center" cellpadding="9" | align="center" |
<math>{x{:}1{\to}\tau\;\in\;\Gamma}\over{\Gamma \vdash x : 1{\to}\tau }</math> (Var)
|}
</div>
 
<div class="center" style="width:auto; margin-left:auto; margin-right:auto;">
{| align="center" cellpadding="9" | align="center" |
<math>{}\over{\vdash id_\tau\;:\;\tau\to\tau }</math> (Id)
|}
</div>
 
<div class="center" style="width:auto; margin-left:auto; margin-right:auto;">
{| align="center" cellpadding="9" | align="center" |
<math>{}\over{\vdash !_\tau\;:\;\tau\to 1 }</math> (Bang)
|}
</div>
 
<div class="center" style="width:auto; margin-left:auto; margin-right:auto;">
{| align="center" cellpadding="9" | align="center" |
<math>{\Gamma \vdash e_1{:}\tau_1{\to}\tau_2
      \;\;\;\;\;\;
      \Gamma \vdash e_2{:}\tau_2{\to}\tau_3
      }\over{\Gamma \vdash e_2\circ e_1 : \tau_1{\to}\tau_3 }</math> (Comp)
|}
</div>
 
<div class="center" style="width:auto; margin-left:auto; margin-right:auto;">
{| align="center" cellpadding="9" | align="center" |
<math>{\Gamma \vdash e{:}1{\to}\tau_1}
      \over
      {\Gamma \vdash \operatorname{lift}_{\tau_2}(e)\;:\;\tau_2\to(\tau_1\times\tau_2) }
</math>
(Lift)
|}
</div>
 
<div class="center" style="width:auto; margin-left:auto; margin-right:auto;">
{| align="center" cellpadding="9" | align="center" |
<math>{\Gamma,\;x{:}1{\to}\tau_1\;\vdash\;e:\tau_2{\to}\tau_3}
      \over
      {\Gamma \vdash \kappa x{:}1{\to}\tau_1\,.\,e\;:\;\tau_1\times\tau_2\to\tau_3 }
</math>
(Kappa)
|}
</div>
 
In other words,
 
* '''Var:''' assuming <math>x:1{\to}\tau</math> lets you conclude that <math>x:1{\to}\tau</math>
* '''Id:''' for any type <math>\tau</math>, <math>id_\tau:\tau{\to}\tau</math>
* '''Bang:''' for any type <math>\tau</math>, <math>!_\tau:\tau{\to}1</math>
* '''Comp:''' if the target type of <math>e_1</math> matches the source type of <math>e_2</math> they may be composed to form an expression <math>e_2\circ e_1</math> with the source type of <math>e_1</math> and target type of <math>e_2</math>
* '''Lift:''' if <math>e:1{\to}\tau_1</math>, then <math>\operatorname{lift}_{\tau_2}(e):\tau_2{\to}(\tau_1\times\tau_2)</math>
* '''Kappa:''' if we can conclude that <math>e:\tau_2\to\tau_3</math> under the assumption that <math>x:1{\to}\tau_1</math>, then we may conclude ''without that assumption'' that <math>\kappa x{:}1{\to}\tau_1\,.\,e\;:\;\tau_1\times\tau_2\to\tau_3</math>
 
=== Equalities ===
 
Kappa calculus obeys the following equalities:
 
* '''Neutrality:''' If <math>f:\tau_1{\to}\tau_2</math> then <math>f{\circ}id_{\tau_1}=f</math> and <math>f=id_{\tau_2}{\circ}f</math>
* '''Associativity:''' If <math>f:\tau_1{\to}\tau_2</math>, <math>g:\tau_2{\to}\tau_3</math>, and <math>h:\tau_3{\to}\tau_4</math>, then <math>(h{\circ}g){\circ}f = h{\circ}(g{\circ}f)</math>.
* '''Terminality:''' If <math>f{:}\tau{\to}1</math> and <math>g{:}\tau{\to}1</math> then <math>f=g</math>
* '''Lift-Reduction:''' <math>(\kappa x.f)\circ \operatorname{lift}_\tau(c) = f[c/x]</math>
* '''Kappa-Reduction:''' <math>\kappa x. (h\circ \operatorname{lift}_\tau(x)) = h</math> if x is not free in h
 
The last two equalities are reduction rules for the calculus,
rewriting from left to right.
 
== Properties ==
 
The type 1 can be regarded as the [[unit type]].  Because of this, any two functions whose argument type is the same and whose result type is 1 should be equal – since there is only a single value of type 1 both functions must return that value for every argument ('''Terminality''').
 
Expressions with type <math>1{\to}\tau</math> can be regarded as "constants" or values of "ground type"; this is because 1 is the unit type, and so a function from this type is necessarily a constant function. Note that the kappa rule allows abstractions only when the variable being abstracted has the type <math>1{\to}\tau</math> for some <math>\tau</math>.  This is the basic mechanism which ensures that all functions are first-order.
 
== Categorical semantics ==
 
Kappa calculus is intended to be the internal language of
''contextually complete'' categories.
 
== Examples ==
 
Expressions with multiple arguments have source types which are
"right-imbalanced" binary trees.  For example, a function f with three
arguments of types A, B, and C and result type D will have type
 
<div class="center" style="width:auto; margin-left:auto; margin-right:auto;">
<math>
  f : A\times (B\times (C\times 1)) \to D
</math>
</div>
 
If we define left-associative juxtaposition (f c) as an abbreviation
for <math>(f\circ \operatorname{lift}(c))</math>, then – assuming that
<math>a:1{\to}A</math>, <math>b:1{\to}B</math>, and
<math>c:1{\to}C</math> &ndash; we can apply this function:
 
<div class="center" style="width:auto; margin-left:auto; margin-right:auto;">
<math>
  f\;a\;b\;c\;:\;1 \to D
</math>
</div>
 
Since the expression <math>f a b c</math> has source type 1, it is a "ground value" and may be passed as an argument to another function. If <math>g:(D\times E){\to}F</math>, then
 
<div class="center" style="width:auto; margin-left:auto; margin-right:auto;">
<math>
  g\;(f\;a\;b\;c)\;:\;E \to F
</math>
</div>
 
Much like a curried function of type
<math>A{\to}(B{\to}(C{\to}D))</math> in lambda calculus, partial
application is possible:
 
<div class="center" style="width:auto; margin-left:auto; margin-right:auto;">
<math>
  f\;a\;:\;B\times (C\times 1) \to D
</math>
</div>
 
However no higher types (i.e. <math>(\tau{\to}\tau){\to}\tau</math>) are involved.  Note that because the source type of <math>f a</math> is not 1, the following expression cannot be well-typed under the assumptions mentioned so far:
 
<div class="center" style="width:auto; margin-left:auto; margin-right:auto;">
<math>
   h\;(f\;a)
</math>
</div>
 
Because successive application is used for multiple
arguments it is not necessary to know the [[arity]] of a function in
order to determine its typing; for example, if we know that
<math>c:1{\to}C</math> then the expression
 
<div class="center" style="width:auto; margin-left:auto; margin-right:auto;">
<math>
  j\;c
</math>
</div>
 
is well-typed as long as j has type
<math>(C\times\alpha){\to}\beta</math> for some <math>\alpha</math>
and <math>\beta</math>. This property is important when calculating
the [[principal type]] of an expression, something
which can be difficult when attempting to exclude higher-order
functions from typed lambda calculi by restricting the grammar of types.
 
== History ==
 
Barendregt originally introduced<ref name="Barendregt"/> the term
"functional completeness" in the context of combinatory algebra.
Kappa calculus arose out of efforts by Lambek<ref
name="Lambek"/> to formulate an appropriate analogue of functional
completeness for arbitrary categories (see Hermida and Jacobs,<ref
name=HermidaJacobs/> section 1).  Hasegawa later developed kappa
calculus into a usable (though simple) programming language including
arithmetic over natural numbers and primitive recursion.<ref
name="Hasegawa"/>  Connections to [[Arrow (computer science)|arrows]]
were later investigated<ref name="closed"/> by Power, Thielecke, and others.
 
== Variants ==
 
It is possible to explore versions of kappa calculus with
[[Substructural logic|substructural types]] such as [[Linear type system|linear]], [[Affine logic|affine]],
and [[Noncommutative logic|ordered]] types. These extensions require eliminating or
restricting the <math>!_\tau</math> expression.  In such circumstances
the <math>\times</math> type operator is not a true cartesian product,
and is generally written <math>\otimes</math> to make this clear.
 
== References ==
 
<references>
<ref name="Lambek">
J. Lambek, [http://dx.doi.org/10.1016/0003-4843(74)90003-5 Functional completeness of cartesian categories], Annals of Mathematical Logic,
Volume 6, Issues 3–4, March 1974, pages 259–292, ISSN 0003-4843, {{doi|10.1016/0003-4843(74)90003-5}}.
</ref>
<ref name="HermidaJacobs">
Claudio Hermida and Bart Jacobs,
[http://dx.doi.org/10.1017/S0960129500001213 Fibrations with Indeterminates: contextual and functinoal completeness for polymorphic lambda calculi], Mathematical Structures in Computer Science, Vol 5, Issue 4, pp&nbsp;501–531.
</ref>
<ref name="Barendregt">
{{Citation
  | last = Barendregt
   | first = Hendrik Pieter
  | author-link =
  | last2 =
  | first2 =
  | author2-link =
  | title = The Lambda Calculus: Its Syntax and Semantics
  | place =
  | publisher = North Holland, Amsterdam. [ftp://ftp.cs.ru.nl/pub/CompMath.Found/ErrataLCalculus.pdf Corrections]
  | year = 1984
  | volume = 103
  | series = Studies in Logic and the Foundations of Mathematics
  | edition = Revised
  | url = http://www.elsevier.com/wps/find/bookdescription.cws_home/501727/description
  | doi =
  | id =
  | isbn = 0-444-87508-5}}
</ref>
<ref name="Hasegawa">
Masahito Hasegawa, [http://dx.doi.org/10.1007/3-540-60164-3_28 Decomposing typed lambda calculus into a couple of categorical programming languages], Category Theory and Computer Science, Lecture Notes in Computer Science Volume 953, pp&nbsp;200–219.
</ref>
<ref name="closed">
Power, John and Thielecke, Hayo, [http://dx.doi.org/10.1007/3-540-48523-6_59 Closed Freyd and <math>\kappa</math>-Categories]. Proceedings of ICALP'99, Lecture Notes in Computer Science 1644 pp&nbsp;710–1644.
</ref>
</references>
* [http://mathoverflow.net/questions/37180 What are <math>\kappa</math>-categories?], MathOverflow question 37180.
 
[[Category:Logical calculi]]

Latest revision as of 19:30, 15 February 2013

In mathematical logic, category theory, and computer science, kappa calculus is a formal system for defining first-order functions.

Unlike lambda calculus, kappa calculus has no higher-order functions; its functions are not first class objects. Kappa-calculus can be regarded as "a reformulation of the first-order fragment of typed lambda calculus[1]".

Because its functions are not first-class objects, evaluation of kappa calculus expressions does not require closures.

Definition

The definition below has been adapted from the diagrams on pages 205 and 207 of Hasegawa.[1]

Grammar

Kappa calculus consists of types and expressions, given by the grammar below:

In other words,

The and the subscripts of id, !, and are sometimes omitted when they can be unambiguously determined from the context.

Juxtaposition is often used as an abbreviation for a combination of "" and composition:

Typing rules

The presentation here uses sequents () rather than hypothetical judgments in order to ease comparison with the simply typed lambda calculus. This requires the additional Var rule, which does not appear in Hasegawa[1]

In kappa calculus an expression has two types: the type of its source and the type of its target. The notation is used to indicate that expression e has source type and target type .

Expressions in kappa calculus are assigned types according to the following rules:

In other words,

Equalities

Kappa calculus obeys the following equalities:

The last two equalities are reduction rules for the calculus, rewriting from left to right.

Properties

The type 1 can be regarded as the unit type. Because of this, any two functions whose argument type is the same and whose result type is 1 should be equal – since there is only a single value of type 1 both functions must return that value for every argument (Terminality).

Expressions with type can be regarded as "constants" or values of "ground type"; this is because 1 is the unit type, and so a function from this type is necessarily a constant function. Note that the kappa rule allows abstractions only when the variable being abstracted has the type for some . This is the basic mechanism which ensures that all functions are first-order.

Categorical semantics

Kappa calculus is intended to be the internal language of contextually complete categories.

Examples

Expressions with multiple arguments have source types which are "right-imbalanced" binary trees. For example, a function f with three arguments of types A, B, and C and result type D will have type

If we define left-associative juxtaposition (f c) as an abbreviation for , then – assuming that , , and – we can apply this function:

Since the expression has source type 1, it is a "ground value" and may be passed as an argument to another function. If , then

Much like a curried function of type in lambda calculus, partial application is possible:

However no higher types (i.e. ) are involved. Note that because the source type of is not 1, the following expression cannot be well-typed under the assumptions mentioned so far:

Because successive application is used for multiple arguments it is not necessary to know the arity of a function in order to determine its typing; for example, if we know that then the expression

is well-typed as long as j has type for some and . This property is important when calculating the principal type of an expression, something which can be difficult when attempting to exclude higher-order functions from typed lambda calculi by restricting the grammar of types.

History

Barendregt originally introduced[2] the term "functional completeness" in the context of combinatory algebra. Kappa calculus arose out of efforts by Lambek[3] to formulate an appropriate analogue of functional completeness for arbitrary categories (see Hermida and Jacobs,[4] section 1). Hasegawa later developed kappa calculus into a usable (though simple) programming language including arithmetic over natural numbers and primitive recursion.[1] Connections to arrows were later investigated[5] by Power, Thielecke, and others.

Variants

It is possible to explore versions of kappa calculus with substructural types such as linear, affine, and ordered types. These extensions require eliminating or restricting the expression. In such circumstances the type operator is not a true cartesian product, and is generally written to make this clear.

References

  1. 1.0 1.1 1.2 1.3 Masahito Hasegawa, Decomposing typed lambda calculus into a couple of categorical programming languages, Category Theory and Computer Science, Lecture Notes in Computer Science Volume 953, pp 200–219.
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  3. J. Lambek, Functional completeness of cartesian categories, Annals of Mathematical Logic, Volume 6, Issues 3–4, March 1974, pages 259–292, ISSN 0003-4843, 21 year-old Glazier James Grippo from Edam, enjoys hang gliding, industrial property developers in singapore developers in singapore and camping. Finds the entire world an motivating place we have spent 4 months at Alejandro de Humboldt National Park..
  4. Claudio Hermida and Bart Jacobs, Fibrations with Indeterminates: contextual and functinoal completeness for polymorphic lambda calculi, Mathematical Structures in Computer Science, Vol 5, Issue 4, pp 501–531.
  5. Power, John and Thielecke, Hayo, Closed Freyd and -Categories. Proceedings of ICALP'99, Lecture Notes in Computer Science 1644 pp 710–1644.