Bounded quantification

The purpose of bounded quantification is to allow for polymorphic functions to depend on some specific behaviour of objects instead of type inheritance. It assumes a record-based model for object classes, where every class member is a record element and all class members are named functions. Object attributes are represented as functions that take no argument and return an object. The specific behaviour is then some function name along with the types of the arguments and the return type. Bounded quantification considers all objects with such a function. An example would be a polymorphic min function that considers all objects that are comparable to each other.

This kind of type constraint can be expressed in Java with a generic interface. The following example demonstrates how to describe types that can be compared to each other and use this as typing information in polymorphic functions. The Test.min function uses simple bounded quantification and does not ensure the objects are mutually comparable, in contrast with the Test.fMin function which uses F-bounded quantification.

In mathematical notation, the types of the two functions are

min: ∀ T, ∀ S ⊆ {compareTo: T → int}. S → S → S

fMin: ∀ T ⊆ Comparable[T]. T → T → T

where

Comparable[T] = {compareTo: T → int}

interface Comparable<T> {

    int compareTo(T other);

}

public class Integer implements Comparable<Integer> {

    @Override
    public int compareTo(Integer other) {
        // ...
    }
}

public class String implements Comparable<String> {

    @Override
    public int compareTo(String other) {
        // ...
    }

}

public class Test {
    
    public static void main(String[] args) {
        final String a = min("cat", "dog");
        final Integer b = min(10, 3);
        final Comparable c = min("cat", 3); // Throws ClassCastException at runtime
        final String str = fMin("cat", "dog");
        final Integer i = fMin(10, 3);
        // final Object o = fMin("cat", 3); // Does not compile
    }
    
    public static <S extends Comparable> S min(S a, S b) {
        if (a.compareTo(b) <= 0) {
            return a;
        } else {
            return b;
        }
    }
    
    public static <T extends Comparable<T>> T fMin(T a, T b) {
        if (a.compareTo(b) <= 0) {
            return a;
        } else {
            return b;
        }
    }

}

• Covariance and contravariance (computer science)
• Curiously recurring template pattern
• Wildcard (Java)

• Cardelli, Luca; Wegner, Peter (December 1985). "On Understanding Types, Data Abstraction, and Polymorphism" (PDF). ACM Computing Surveys. 17 (4): 471–523. CiteSeerX 10.1.1.117.695. doi:10.1145/6041.6042. ISSN 0360-0300. S2CID 2921816.
• Peter S. Canning, William R. Cook, Walter L. Hill, John C. Mitchell, and William Olthoff. "F-bounded polymorphism for object-oriented programming". In Conference on Functional Programming Languages and Computer Architecture, 1989.
• Benjamin C. Pierce "Intersection types and bounded polymorphism". Lecture Notes in Computer Science 664, 1993.
• Gilad Bracha, Martin Odersky, David Stoutamire, and Philip Wadler. "Making the future safe for the past: Adding genericity to the Java programming language". In Object-Oriented Programming: Systems, Languages, Applications (OOPSLA). ACM, October 1998.
• Andrew Kennedy and Don Syme. "Design and Implementation of Generics for the .NET Common Language Runtime". In Programming Language Design and Implementation, 2001.
• Pierce, Benjamin C. (2002). Types and Programming Languages. MIT Press. ISBN 978-0-262-16209-8., Chapter 26: Bounded quantification

• Bounded Polymorphism at the Portland Pattern Repository
• "F-bounded Polymorphism" in The Cecil Language: Specification and Rationale