Because programming languages contain recursive structure, which cannot be represented by a regular expression.
To give an example, most computer programs will have arithmetic expressions with matched parentheses:
E --> F
E --> E operator F
F --> number
F --> lparen E rparen
This very simple grammar cannot be represented by a regular expression.
Proof:
Suppose that there were a regular expression for a language of matched parentheses. Let the length of the regular expression be m. Consider the string (m+1)m+1. This is in the language. Since the first half of the string is longer than the regular expression itself, it must avail of a star somewhere in the first half. Suppose this star was used to repeat n times a substring of length k. The same regular expression could be used to represent a similar string in which the substring of length k was repeated n+1 times. This means that the regular expression would also match the string (m+1+k)m+1 which is not in the language. Thus, the assumption that the language could be represented by a regular expression is false.
No, not every deterministic context-free language is regular. While regular languages are a subset of deterministic context-free languages, there are deterministic context-free languages that are not regular. This is because deterministic context-free languages can include more complex structures that cannot be captured by regular expressions.
finite automaton is the graphical representation of language and regular grammar is the representation of language in expressions
A generalized transition graph is a transition graph whose edges are labeled with regular expressions; otherwise it is same as the usual transition graph. source: Introduction to Formal Languages and Automata by Peter Linz , Regular expressions and regular languages, page 81
Regular expressions and context-free grammars are both formal languages used in computer science to describe patterns in strings. Regular expressions are simpler and more limited in their expressive power, while context-free grammars are more complex and can describe a wider range of patterns. Regular expressions can be converted into context-free grammars, but not all context-free grammars can be represented by regular expressions.
Regular languages are a type of language in formal language theory that can be defined using regular expressions or finite automata. Examples of regular languages include languages that can be described by patterns such as strings of characters that follow a specific rule, like a sequence of letters or numbers. Regular languages are considered the simplest type of language in formal language theory and are often used in computer science for tasks like pattern matching and text processing.
No, not all regular languages are context-free. Regular languages are a subset of context-free languages, but there are context-free languages that are not regular.
In programming, a regular expression is an expression that explains a pattern for a string. A string matches a regular expression if that string follows the pattern of that regular expression. For example, you may want to create an account system, allowing usernames to only have uppercase and lowercase letters, and numbers. While a user is registering, you can check their desired username against a regular expression involving only alphanumeric characters (A-Z, a-z, 0-9). If it matches, then the username is valid to your requests. If it does not, the user has put in a character that does not follow the pattern of the regular expression. In regular expressions, you can match certain characters, match a certain quanity of characters, match the casing of characters (or just ignore it overall), and plenty more. The syntax of a regular expression varies throughout every programming language, but Perl is often used due to its wide variety of options. Perl is also incorporated into many web languages, such as PHP, making regular expressions less of a hassle. This is an example of a Perl regular expression, allowing a string with only alphanumeric characters (any character case), and an infinite length (except for a string with no length or no characters, in which the regular expression does not match the string): /^(?i)[a-z0-9]+$/
No, not all finite languages are regular.
In programming, a regular expression is an expression that explains a pattern for a string. A string matches a regular expression if that string follows the pattern of that regular expression. For example, you may want to create an account system, allowing usernames to only have uppercase and lowercase letters, and numbers. While a user is registering, you can check their desired username against a regular expression involving only alphanumeric characters (A-Z, a-z, 0-9). If it matches, then the username is valid to your requests. If it does not, the user has put in a character that does not follow the pattern of the regular expression. In regular expressions, you can match certain characters, match a certain quanity of characters, match the casing of characters (or just ignore it overall), and plenty more. The syntax of a regular expression varies throughout every programming language, but Perl is often used due to its wide variety of options. Perl is also incorporated into many web languages, such as PHP, making regular expressions less of a hassle. This is an example of a Perl regular expression, allowing a string with only alphanumeric characters (any character case), and an infinite length (except for a string with no length or no characters, in which the regular expression does not match the string): /^(?i)[a-z0-9]+$/
Perl is a programming language. Perl is an interpreted programming language. Perl is very useful for shell scripts, application programming, and web applications. Perl is quite easy to learn. Perl can be, but does not have to be, object-oriented. Perl was created by Larry Wall. Perl has probably the best implementation of regular expressions in existence.
Closure properties of regular languages include: Union: The union of two regular languages is also a regular language. Intersection: The intersection of two regular languages is also a regular language. Concatenation: The concatenation of two regular languages is also a regular language. Kleene star: The Kleene star operation on a regular language results in another regular language.
py4everybody regular expression answers autograde 11.2