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Basics of Sets
Basics of Sets

... So far in the worksheet, you have seen 8 sets: A, B, C, D, E, F, G and H. Write down the cardinality of each of these sets, using proper mathematical notation to express your answer. Do you think the infinite sets (if there are any) satisfy Cantor’s definition of countably infinite? Write down any r ...
STD VII - Kerala Samajam Model School
STD VII - Kerala Samajam Model School

... Identify finite, infinite, empty and the singleton sets among the following: a. Set of odd numbers divisible by 2 b. Set of even prime numbers c. { x: x is right angle in an acute angled triangle} d. The set of positive integers greater than 100 e. { x:x is an obtuse angle in a scalene triangle} f. ...
WEEK 1: CARDINAL NUMBERS 1. Finite sets 1.1. For a finite set A
WEEK 1: CARDINAL NUMBERS 1. Finite sets 1.1. For a finite set A

... 1.2. If A, B are two finite sets then #(A × B) = #A#̇B. 1.3. P (A), the power set of A, has 2#A elements. To see this, assume A = {1, 2, .., n}. Attach to each subset S ⊂ A the binary string y = y1 y2 ...yn where yi = 1 if i ∈ S and 0 otherwise. Such a correspondence is bijective, and the number of ...
Recursive Enumerable
Recursive Enumerable

... If HALT is r.e., then Accept(M0) = HALT for some M0 . We’ll want a machine that either accepts or loops forever. So, we define a new machine, M, from M0 as follows. On any input: M behaves just like M0 until M0 stops (if it does). If M0 accepts, then M accepts. If M0 rejects, then M loops forever. ...
Lecture 4
Lecture 4

...  The above properties are easy to prove.  Thus,  is an equivalence relation on the class of all sets. ...
3-8 Unions and Intersection of Sets
3-8 Unions and Intersection of Sets

... The Union of two or more sets is the set that contains all elements of the sets Symbol: ∪ How to find: list the elements that are in either set, or in both sets ...
on Computability
on Computability

... rules, can be computed by one of TM. Consistent • Briefly, a Turing machine can be thought of as a black box, which performs a calculation of some kind on an input number. If the calculation reaches a conclusion, or halts then an output number is returned. • One of the consequences of Turing's theor ...
(pdf)
(pdf)

... Because of this, it makes sense to restrict our questions about the computability of a function to functions from rational numbers to rational numbers. Because of the bijection between natural numbers and rationals, it also makes sense to further restrict the question to functions from the natural n ...
Orders of Infinity
Orders of Infinity

... ...
Predicates
Predicates

... P(n) is computable On input any natural number given in unary describe a TM that decides whether this number is zero (i.e the empty string) or not. • High level program: – If the tape is empty accept else reject ...
Recursive Functions Guided Notes
Recursive Functions Guided Notes

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Computability theory

Computability theory, also called recursion theory, is a branch of mathematical logic, of computer science, and of the theory of computation that originated in the 1930s with the study of computable functions and Turing degrees.The basic questions addressed by recursion theory are ""What does it mean for a function on the natural numbers to be computable?"" and ""How can noncomputable functions be classified into a hierarchy based on their level of noncomputability?"". The answers to these questions have led to a rich theory that is still being actively researched. The field has since grown to include the study of generalized computability and definability. Invention of the central combinatorial object of recursion theory, namely the Universal Turing Machine, predates and predetermines the invention of modern computers. Historically, the study of algorithmically undecidable sets and functions was motivated by various problems in mathematics that turned to be undecidable; for example, word problem for groups and the like. There are several applications of the theory to other branches of mathematics that do not necessarily concentrate on undecidability. The early applications include the celebrated Higman's embedding theorem that provides a link between recursion theory and group theory, results of Michael O. Rabin and Anatoly Maltsev on algorithmic presentations of algebras, and the negative solution to Hilbert's Tenth Problem. The more recent applications include algorithmic randomness, results of Soare et al. who applied recursion-theoretic methods to solve a problem in algebraic geometry, and the very recent work of Slaman et al. on normal numbers that solves a problem in analytic number theory.Recursion theory overlaps with proof theory, effective descriptive set theory, model theory, and abstract algebra.Arguably, computational complexity theory is a child of recursion theory; both theories share the same technical tool, namely the Turing Machine. Recursion theorists in mathematical logic often study the theory of relative computability, reducibility notions and degree structures described in this article. This contrasts with the theory of subrecursive hierarchies, formal methods and formal languages that is common in the study of computability theory in computer science. There is a considerable overlap in knowledge and methods between these two research communities; however, no firm line can be drawn between them. For instance, parametrized complexity was invented by a complexity theorist Michael Fellows and a recursion theorist Rod Downey.
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