Cantor's theorem
Cantor's theorem is a foundational result in set theory, established by Georg Cantor in 1891, which asserts that for any set S, the cardinality of S is strictly less than the cardinality of its power set \mathcal{P}(S), the collection of all subsets of S.[1] This theorem demonstrates the existence of distinct infinite cardinalities and implies that no set can be placed in one-to-one correspondence with its own power set, highlighting a fundamental limitation in comparing sizes of infinite collections.[2] The proof of Cantor's theorem relies on a diagonal argument, a technique pioneered by Cantor that assumes a bijection f: S \to \mathcal{P}(S) exists and constructs a subset T = \{ x \in S \mid x \notin f(x) \}, which cannot be in the image of f, leading to a contradiction.[1] This result not only establishes an infinite hierarchy of cardinal numbers—where the power set operation generates ever-larger infinities—but also precludes the existence of a largest cardinal or a universal set containing all sets, influencing the development of axiomatic set theory to avoid paradoxes like Russell's paradox.[2] Cantor's work, building on his earlier investigations into the uncountability of the real numbers, revolutionized mathematics by revealing the counterintuitive structure of infinity and remains central to modern understandings of cardinality and transfinite numbers.[1]Background Concepts
Power Set
In set theory, the power set of a set A, denoted \wp A or \mathcal{P}(A), is formally defined as the set of all subsets of A, that is, \wp A = \{ B \mid B \subseteq A \}.[3] This includes the empty set \emptyset and A itself as subsets.[4] To illustrate the construction, consider the finite set A = \{1, 2\}. Its power set is \wp A = \{ \emptyset, \{1\}, \{2\}, \{1, 2\} \}, which contains four elements, or $2^{|A|} subsets in general for a finite set of size n. Similarly, for A = \emptyset, \wp A = \{ \emptyset \}.[4] An alternative notation for the cardinality of the power set is | \wp A | = 2^{|A|}, reflecting the exponential growth in the number of subsets as the size of A increases for finite sets.[3] This property arises because each element of A can either be included or excluded from a subset, yielding $2^n possibilities. Power sets provide a complete enumeration of all possible combinations of elements from A, serving as a foundational tool for measuring set sizes through cardinality comparisons.[4]Cardinality
In set theory, the cardinality of a set provides a measure of its size, independent of the specific elements it contains. Two sets A and B are said to have the same cardinality, denoted |A| = |B|, if there exists a bijection f: A \to B, that is, a function that is both injective (one-to-one) and surjective (onto), establishing a perfect pairing between their elements.[5][6] This definition extends the intuitive notion of counting to arbitrary sets, allowing for comparisons even when direct enumeration is impossible. For finite sets, cardinality corresponds directly to the natural numbers: a set with n elements has cardinality n, where n = 0, 1, 2, \dots. Infinite sets, however, require transfinite cardinals to describe their sizes. The smallest infinite cardinal is \aleph_0 (aleph-null), which is the cardinality of the set of natural numbers \mathbb{N}; any set in bijection with \mathbb{N} is called countably infinite.[7][5] Larger infinite cardinals exist, ordered by size, but \aleph_0 serves as the baseline for countable infinity. Cardinalities can be compared using the relation |A| \leq |B|, which holds if there exists an injection from A to B (a one-to-one function, not necessarily onto). A strict inequality |A| < |B| follows if such an injection exists but no bijection does, ensuring A is properly smaller than B.[6][7] Examples illustrate these concepts clearly. The set \{1, 2, 3\} has cardinality 3, as it bijects with \{0, 1, 2\}. For infinite sets, \mathbb{N} has cardinality \aleph_0, and so does the set of even natural numbers E = \{2, 4, 6, \dots\}, via the bijection f(n) = 2n, demonstrating that an infinite set can have the same cardinality as one of its proper subsets.[5][6] This property of infinite cardinals highlights their counterintuitive nature compared to finite ones.Statement and Proof
Statement
Cantor's theorem states that for any set A, there does not exist a bijection between A and its power set \mathcal{P}(A), the collection of all subsets of A. Equivalently, the cardinality of A, denoted |A|, is strictly less than the cardinality of \mathcal{P}(A), written |A| < |\mathcal{P}(A)|. This result, first proved by Georg Cantor in 1891, establishes a fundamental inequality in set theory regarding the sizes of sets and their collections of subsets.[8][1] In cardinal arithmetic, the theorem is symbolized as \kappa < 2^\kappa for every cardinal number \kappa, where $2^\kappa denotes the cardinality of the power set of any set with cardinality \kappa. The intuitive basis lies in the observation that no function from A to \mathcal{P}(A) can cover all possible subsets; inevitably, at least one subset remains outside the image of any such mapping, ensuring the power set is strictly larger.[8] The theorem applies universally to all sets, finite or infinite, requiring no additional axioms or properties beyond the basic notion of a set in classical set theory. It relies solely on the concepts of bijections for comparing cardinalities and the definition of the power set as the set of all subsets.[1]Proof
To prove Cantor's theorem, proceed by contradiction using the diagonal argument. Suppose there exists a surjective function f: A \to \mathcal{P}(A), where \mathcal{P}(A) denotes the power set of A. For each a \in A, f(a) is a subset of A, so the membership relation a \in f(a) or a \notin f(a) is well-defined for every a. Define the diagonal set D = \{ a \in A \mid a \notin f(a) \}. Clearly, D \subseteq A, so D \in \mathcal{P}(A). Since f is surjective, there must exist some b \in A such that f(b) = D. Consider whether b \in D:- If b \in D, then by the definition of D, b \notin f(b). But f(b) = D, so b \notin D, a contradiction.
- If b \notin D, then by the definition of D, b \in f(b). But f(b) = D, so b \in D, again a contradiction.