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The Lumenary
कक्षा 3–5Ages 8–12 40 मिनट

Sets

Membership, subsets, unions and intersections — the language almost all of mathematics is written in.

औपचारिक रूप से सत्यापित · 7 Leanसंगणना द्वारा परखा गया · 1 PythonAI द्वारा तैयार मसौदा · मानवीय समीक्षा की प्रतीक्षा मेंगणितीय रूप से समीक्षित: मानवीय समीक्षा की प्रतीक्षा में

आपके मार्गदर्शक: Chloe, Margaret, Gideon

यह पृष्ठ अभी हिन्दी में अनूदित नहीं है, इसलिए इसे English में दिखाया जा रहा है।

अनुवाद में मदद करें →
प्रेरणाH

Who plays what?

In Ms Okafor's class, some students play football, some play chess, some play both, and some play neither. She wants to answer questions like:

  • Who plays both games?
  • Who plays at least one of them?
  • Who plays football but not chess?

Each question is about collections of people and how they overlap. In mathematics, a collection whose identity depends only on its members is called a set, and questions like these have precise answers.

परिभाषाएँH

Sets and their elements

परिभाषा— set, element

A set is a collection of objects, called its elements. We write x∈Ax \in A to mean "xx is an element of AA", and x∉Ax \notin A to mean it is not.

We can describe a small set by listing its elements inside curly brackets — this is called roster notation:

A={2,4,6,8},4∈A,5∉A.A = \{2, 4, 6, 8\}, \qquad 4 \in A, \qquad 5 \notin A.

Two facts about sets surprise people at first:

  1. Order doesn't matter. {1,2,3}\{1, 2, 3\} and {3,1,2}\{3, 1, 2\} are the same set.
  2. Repetition doesn't matter. {1,1,2}\{1, 1, 2\} is the same set as {1,2}\{1, 2\}. An element is either in the set or not; it can't be in "twice".

Both facts come from one principle:

परिभाषा— extensionality

Two sets are equal exactly when they have the same elements: A=BA = B means that for every xx,   x∈A\;x \in A if and only if x∈Bx \in B.

परिभाषा— empty set

The empty set, written ∅\varnothing or {}\{\}, is the set with no elements at all. By extensionality there is only one empty set.

परिभाषा— subset

AA is a subset of BB, written A⊆BA \subseteq B, if every element of AA is also an element of BB.

For example {2,4}⊆{2,4,6,8}\{2, 4\} \subseteq \{2, 4, 6, 8\}, and every set is a subset of itself. The empty set is a subset of every set: it has no elements, so none of its elements can fail to be in BB.

खोजें

Explore: a Venn diagram that talks back

Here, AA is the set of students who play football and BB is the set who play chess. The rectangle UU — the universe — is the whole class. Shade any regions and the explorer will tell you which set you have made.

एक समुच्चय छायांकित करें, उसका नाम जानें

आरेख के क्षेत्रों पर क्लिक करें (या बटनों का उपयोग करें)। एक्सप्लोरर आपके बनाए समुच्चय का नाम बताता है और उसके अवयवों की सूची देता है।

A · फ़ुटबॉल खेलता हैB · शतरंज खेलता हैUAmaraKenjiLucíaArjunFatimaMateusAigerimTavitaOlenaKwame

आपने बनाया है

A ∩ B

{Kenji, Arjun}

2 अवयव

ये आज़माएँ

चुनौती: दो क्षेत्रों को छह अलग-अलग तरीकों से छायांकित किया जा सकता है। क्या आप सभी छह खोजकर हर एक का नाम बता सकते हैं?

परिभाषाएँH

Making new sets from old

परिभाषा— union

The union A∪BA \cup B is the set of things in AA or in BB (or in both).

परिभाषा— intersection

The intersection A∩BA \cap B is the set of things in both AA and BB.

परिभाषा— difference and complement

The difference A∖BA \setminus B is the set of things in AA but not in BB. When everything we are talking about lives in a universe UU, the complement AcA^{c} is U∖AU \setminus A: everything in the universe that is not in AA.

In mathematics, "or" always means inclusive or: "x∈Ax \in A or x∈Bx \in B" is true when xx is in both. That is why the overlap belongs to A∪BA \cup B.

हल किए गए उदाहरणH

Worked examples

उदाहरण— Union and intersection

Let A={1,2,3,4}A = \{1, 2, 3, 4\} and B={3,4,5,6}B = \{3, 4, 5, 6\}.

  • A∪B={1,2,3,4,5,6}A \cup B = \{1, 2, 3, 4, 5, 6\} — we list 33 and 44 only once.
  • A∩B={3,4}A \cap B = \{3, 4\}.
  • A∖B={1,2}A \setminus B = \{1, 2\} and B∖A={5,6}B \setminus A = \{5, 6\}.

उदाहरण— Complement

In the universe U={1,2,…,8}U = \{1, 2, \dots, 8\}, the complement of A={1,2,3,4}A = \{1, 2, 3, 4\} is Ac={5,6,7,8}A^{c} = \{5, 6, 7, 8\}. Change the universe and the complement changes: a complement always depends on UU.

उदाहरण— Set-builder notation

Sometimes listing is impossible, so we describe the elements by a property:

E={ n∈Z∣n is even }={…,−4,−2,0,2,4,… }.E = \{\, n \in \Z \mid n \text{ is even} \,\} = \{\dots, -4, -2, 0, 2, 4, \dots\}.

Read it as "the set of integers nn such that nn is even."

उपपत्तिH

Proving things about sets

How can we be sure a statement about sets is true for every set — not just for the ones we have tried? We follow a single, arbitrary element and see where it must go.

प्रमेय— intersection sits inside

For all sets AA and BB:   A∩B⊆A\;A \cap B \subseteq A.

उपपत्ति

We must show that every element of A∩BA \cap B is an element of AA. So let xx be any element of A∩BA \cap B. By the definition of intersection, x∈Ax \in A and x∈Bx \in B. In particular, x∈Ax \in A. Since xx was arbitrary, every element of A∩BA \cap B is in AA.

∎

प्रमेय— De Morgan's law

For all subsets A,BA, B of a universe UU:   (A∪B)c=Ac∩Bc\;(A \cup B)^{c} = A^{c} \cap B^{c}.

उपपत्ति

By extensionality we show that each side contains exactly the same elements.

Take any x∈Ux \in U. Then x∈(A∪B)cx \in (A \cup B)^{c} means xx is not in A∪BA \cup B, which means it is not the case that (x∈Ax \in A or x∈Bx \in B). That is the same as saying x∉Ax \notin A and x∉Bx \notin B — which means x∈Acx \in A^{c} and x∈Bcx \in B^{c}, i.e. x∈Ac∩Bcx \in A^{c} \cap B^{c}.

Every step was an "if and only if", so the two sets have the same elements and are equal.

∎

औपचारिक गणितF

Sets in Lean

In Lean, as in the Mathlib library, a set of elements of type α\alpha is represented by its membership test: a function that takes an element and returns the statement "this element belongs". Here is our proof that A∩B⊆AA \cap B \subseteq A. Compare it line by line with the human proof above:

inter_subset_leftLean 4यहाँ मूल तथ्यों से सिद्ध किया गयाऔपचारिक रूप से सत्यापित
/-- `A ∩ B ⊆ A`: whatever is in both sets is, in particular, in the first one. -/
theorem inter_subset_left (A B : Set α) : A ∩ B ⊆ A := by
  intro x hx
  -- `hx : x ∈ A ∧ x ∈ B`; keep the left half.
  exact hx.1
प्रयुक्त अभिगृहीत: कोई अभिगृहीत नहींformal/Lumenary/Sets.leanLean वेब संपादक में आज़माएँ

Equality of sets in Lean is exactly extensionality:

extLean 4यहाँ मूल तथ्यों से सिद्ध किया गयाऔपचारिक रूप से सत्यापित
/-- **Extensionality.** Two sets are equal when they have exactly the same members.
This is where sets differ from lists: order and repetition are invisible.
The proof uses function extensionality and propositional extensionality, so the axiom
report lists `propext` and `Quot.sound` (from which `funext` is derived). -/
theorem ext {A B : Set α} (h : ∀ x, x ∈ A ↔ x ∈ B) : A = B :=
  funext fun x => propext (h x)
प्रयुक्त अभिगृहीत: propext, Quot.soundformal/Lumenary/Sets.leanLean वेब संपादक में आज़माएँ

And here is De Morgan's law, proved by following an element, just as above:

compl_unionLean 4यहाँ मूल तथ्यों से सिद्ध किया गयाऔपचारिक रूप से सत्यापित
/-- **De Morgan's law** for unions: `(A ∪ B)ᶜ = Aᶜ ∩ Bᶜ`.
Not being in `A ∪ B` means being in neither set. This proof is constructive: it does not
use the law of excluded middle. -/
theorem compl_union (A B : Set α) : (A ∪ B)ᶜ = Aᶜ ∩ Bᶜ := by
  apply ext
  intro x
  constructor
  · intro h
    -- `h : ¬ (x ∈ A ∨ x ∈ B)`. If `x` were in `A`, it would be in `A ∪ B`; same for `B`.
    exact ⟨fun hA => h (Or.inl hA), fun hB => h (Or.inr hB)⟩
  · intro ⟨hnA, hnB⟩ hAB
    -- `x` is in `A` or in `B`, and both cases contradict what we know.
    cases hAB with
    | inl hA => exact hnA hA
    | inr hB => exact hnB hB
प्रयुक्त अभिगृहीत: propext, Quot.soundformal/Lumenary/Sets.leanLean वेब संपादक में आज़माएँ

The other De Morgan law, (A∩B)c=Ac∪Bc(A \cap B)^{c} = A^{c} \cup B^{c}, is subtler. To go from "not (in AA and in BB)" to "not in AA, or not in BB" the proof uses classical logic — the principle that every statement is either true or false. Look at the list of axioms under the proof: you can see Classical.choice appear. Lean keeps track of exactly which assumptions each proof depends on.

compl_interLean 4यहाँ मूल तथ्यों से सिद्ध किया गयाऔपचारिक रूप से सत्यापित
/-- **De Morgan's law** for intersections: `(A ∩ B)ᶜ = Aᶜ ∪ Bᶜ`.
The direction `(A ∩ B)ᶜ ⊆ Aᶜ ∪ Bᶜ` needs **classical logic**: knowing only that `x` is not in
both sets, we must still decide *which* set it misses. We use excluded middle
(`Classical.em`), so the axiom report for this theorem includes `Classical.choice`. -/
theorem compl_inter (A B : Set α) : (A ∩ B)ᶜ = Aᶜ ∪ Bᶜ := by
  apply ext
  intro x
  constructor
  · intro h
    -- `h : ¬ (x ∈ A ∧ x ∈ B)`. Either `x ∈ A` or not (excluded middle).
    cases Classical.em (x ∈ A) with
    | inl hA =>
      -- Then `x` cannot also be in `B`.
      exact Or.inr (fun hB => h ⟨hA, hB⟩)
    | inr hnA => exact Or.inl hnA
  · intro h ⟨hA, hB⟩
    cases h with
    | inl hnA => exact hnA hA
    | inr hnB => exact hnB hB
प्रयुक्त अभिगृहीत: propext, Classical.choice, Quot.soundformal/Lumenary/Sets.leanLean वेब संपादक में आज़माएँ
संगणनाC

Checking every case — and finding a counterexample

Checking set identities exhaustivelyPythonसंपूर्ण परिमित जाँचप्रत्युदाहरणसंगणना द्वारा परखा गया
"""Checking set identities exhaustively.

Every subset of a small universe U is represented as a Python ``frozenset``
(and, equivalently, as a bitmask: one bit per element). We check De Morgan's
laws and the distributive laws for *every* pair or triple of subsets, and we
show that a plausible-looking "law", A - (B - C) = (A - B) - C, is false by
finding its smallest counterexample.

Runs unchanged in the browser (Pyodide) using only the standard library.
"""

from itertools import combinations, product
import textwrap

UNIVERSE = frozenset({1, 2, 3, 4})

def all_subsets(universe):
    """Return all 2^n subsets of ``universe`` as frozensets, smallest first.

    Within one size, subsets are ordered by their sorted elements, so the order
    is deterministic.
    """
    elements = sorted(universe)
    return [frozenset(c) for r in range(len(elements) + 1) for c in combinations(elements, r)]

def complement(s, universe):
    """Return U - s, the elements of the universe that are not in s."""
    return frozenset(universe) - s

def to_bitmask(s, universe):
    """Encode subset s as an integer: bit i is 1 when the i-th smallest element is in s."""
    elements = sorted(universe)
    if not set(s) <= set(elements):
        raise ValueError("s must be a subset of the universe")
    return sum(1 << i for i, x in enumerate(elements) if x in s)

def from_bitmask(mask, universe):
    """Decode an integer bitmask back into a frozenset (inverse of :func:`to_bitmask`)."""
    elements = sorted(universe)
    if not 0 <= mask < (1 << len(elements)):
        raise ValueError("mask out of range for this universe")
    return frozenset(x for i, x in enumerate(elements) if mask >> i & 1)

def bit_operations_agree(universe):
    """Check union, intersection and complement against |, & and ~ on bitmasks.

    Returns the number of (A, B) pairs checked. Raises AssertionError on a mismatch.
    """
    full = (1 << len(universe)) - 1
    subsets = all_subsets(universe)
    for a, b in product(subsets, repeat=2):
        ma, mb = to_bitmask(a, universe), to_bitmask(b, universe)
        assert to_bitmask(a | b, universe) == ma | mb
        assert to_bitmask(a & b, universe) == ma & mb
        assert to_bitmask(complement(a, universe), universe) == ~ma & full
    return len(subsets) ** 2

#: (description, arity, lhs, rhs). lhs and rhs take (U, A, B[, C]).
IDENTITIES = [
    ("U - (A ∪ B) = (U - A) ∩ (U - B)", 2,
     lambda U, A, B: U - (A | B), lambda U, A, B: (U - A) & (U - B)),
    ("U - (A ∩ B) = (U - A) ∪ (U - B)", 2,
     lambda U, A, B: U - (A & B), lambda U, A, B: (U - A) | (U - B)),
    ("A ∩ (B ∪ C) = (A ∩ B) ∪ (A ∩ C)", 3,
     lambda U, A, B, C: A & (B | C), lambda U, A, B, C: (A & B) | (A & C)),
    ("A ∪ (B ∩ C) = (A ∪ B) ∩ (A ∪ C)", 3,
     lambda U, A, B, C: A | (B & C), lambda U, A, B, C: (A | B) & (A | C)),
]

NON_IDENTITY = ("A - (B - C) = (A - B) - C", 3,
                lambda U, A, B, C: A - (B - C), lambda U, A, B, C: (A - B) - C)

def check_identity(lhs, rhs, universe, arity):
    """Compare lhs and rhs on every tuple of ``arity`` subsets of ``universe``.

    Returns ``(cases_checked, counterexamples)`` where counterexamples is a list
    of the tuples of subsets on which the two sides differ.
    """
    U = frozenset(universe)
    subsets = all_subsets(U)
    failures = []
    cases = 0
    for sets in product(subsets, repeat=arity):
        cases += 1
        if lhs(U, *sets) != rhs(U, *sets):
            failures.append(sets)
    return cases, failures

def smallest_counterexample(lhs, rhs, universe, arity):
    """Return the counterexample with the fewest elements in total, or None.

    Ties are broken by comparing the sorted element lists, so the answer is
    deterministic.
    """
    _, failures = check_identity(lhs, rhs, universe, arity)
    if not failures:
        return None
    return min(failures, key=lambda sets: (sum(len(s) for s in sets), [sorted(s) for s in sets]))

def fmt(s):
    """Format a set as {1, 2} or ∅."""
    return "{" + ", ".join(str(x) for x in sorted(s)) + "}" if s else "∅"

def main():
    U = UNIVERSE
    n = len(U)
    print(f"Universe U = {fmt(U)} has 2^{n} = {2 ** n} subsets.")
    print(f"A subset is also a {n}-bit number: {fmt({1, 3})} -> {to_bitmask({1, 3}, U):0{n}b} (bit i = element i+1).")
    pairs = bit_operations_agree(U)
    print(f"∪, ∩ and complement match bitwise |, &, ~ on all {pairs} pairs: True")
    print()
    print(f"{'statement':<34}{'cases':>7}{'failures':>10}")
    for name, arity, lhs, rhs in IDENTITIES + [NON_IDENTITY]:
        cases, failures = check_identity(lhs, rhs, U, arity)
        print(f"{name:<34}{cases:>7}{len(failures):>10}")
    print()
    name, arity, lhs, rhs = NON_IDENTITY
    A, B, C = smallest_counterexample(lhs, rhs, U, arity)
    print(f"The last line is NOT an identity. Smallest counterexample (fewest elements):")
    print(f"  A = {fmt(A)}, B = {fmt(B)}, C = {fmt(C)}")
    print(f"  A - (B - C) = {fmt(A)} - {fmt(B - C)} = {fmt(A - (B - C))}")
    print(f"  (A - B) - C = {fmt(A - B)} - {fmt(C)} = {fmt((A - B) - C)}")
    cases, fails = check_identity(lambda U, A, B, C: (A - B) - C <= A - (B - C),
                                  lambda U, A, B, C: True, U, 3)
    print(f"What does hold: (A - B) - C ⊆ A - (B - C) in all {cases} cases ({len(fails)} failures).")
    print()
    print(textwrap.fill(
        "Epistemic status: every pair and triple of subsets of this 4-element "
        "universe was checked, so the four laws are proved for this universe "
        "only, not for all sets (the lesson's element-by-element argument does "
        "that). One counterexample, by contrast, is enough to show that "
        "A - (B - C) = (A - B) - C fails for sets in general.",
        width=78,
    ))

if __name__ == "__main__":
    main()
यह पूरी तरह आपके ब्राउज़र में, एक अलग-थलग वर्कर में चलता है। किसी सर्वर पर कुछ नहीं भेजा जाता।

Notice the careful wording in the output. Checking all subsets of a 4-element universe is a complete proof for that universe — but not for all sets. Finding one counterexample, on the other hand, really does show that a general "law" is false.

परिभाषाएँH

Size, pairs and products

परिभाषा— cardinality

For a finite set AA, its cardinality ∣A∣|A| is the number of elements. So ∣{a,b,c}∣=3|\{a, b, c\}| = 3 and ∣∅∣=0|\varnothing| = 0.

Counting a union needs care, because the overlap would be counted twice:

∣A∪B∣=∣A∣+∣B∣−∣A∩B∣.|A \cup B| = |A| + |B| - |A \cap B|.

Sometimes order does matter — for coordinates on a map, or (row, seat) in a theatre. For that we use ordered pairs: (a,b)=(c,d)(a, b) = (c, d) exactly when a=ca = c and b=db = d. So (1,2)≠(2,1)(1, 2) \neq (2, 1), even though {1,2}={2,1}\{1, 2\} = \{2, 1\}.

परिभाषा— Cartesian product

The Cartesian product A×BA \times B is the set of all ordered pairs (a,b)(a, b) with a∈Aa \in A and b∈Bb \in B.

If A={red,blue}A = \{\text{red}, \text{blue}\} and B={1,2,3}B = \{1, 2, 3\} then A×BA \times B has 2×3=62 \times 3 = 6 elements, from (red,1)(\text{red}, 1) to (blue,3)(\text{blue}, 3). In general ∣A×B∣=∣A∣⋅∣B∣|A \times B| = |A| \cdot |B| — that is where the multiplication sign comes from.

mem_prodLean 4यहाँ मूल तथ्यों से सिद्ध किया गयाऔपचारिक रूप से सत्यापित
/-- A pair `(a, b)` is in `A ×ˢ B` exactly when `a ∈ A` and `b ∈ B`. True by definition. -/
theorem mem_prod (a : α) (b : β) (A : Set α) (B : Set β) :
    (a, b) ∈ A ×ˢ B ↔ a ∈ A ∧ b ∈ B :=
  Iff.rfl
प्रयुक्त अभिगृहीत: कोई अभिगृहीत नहींformal/Lumenary/Sets.leanLean वेब संपादक में आज़माएँ
अभ्यास-प्रश्न

Exercises

1. Sets

आरंभिकमानवीय

Let A={1,2,3,4}A = \{1, 2, 3, 4\} and B={3,4,5,6}B = \{3, 4, 5, 6\}. Write A∪BA \cup B.

अवयवों को अल्पविराम (,) से अलग करके लिखें। क्रम और दोहराव मायने नहीं रखते — ठीक समुच्चय की तरह!

2. Sets

आरंभिकमानवीय

With the same A={1,2,3,4}A = \{1, 2, 3, 4\} and B={3,4,5,6}B = \{3, 4, 5, 6\}, write A∩BA \cap B.

अवयवों को अल्पविराम (,) से अलग करके लिखें। क्रम और दोहराव मायने नहीं रखते — ठीक समुच्चय की तरह!

3. Sets

मुख्यमानवीय

In the universe U={1,2,3,4,5,6,7,8}U = \{1, 2, 3, 4, 5, 6, 7, 8\}, write the complement AcA^{c} of A={1,2,3,4}A = \{1, 2, 3, 4\}.

अवयवों को अल्पविराम (,) से अलग करके लिखें। क्रम और दोहराव मायने नहीं रखते — ठीक समुच्चय की तरह!

4. Sets

मुख्यऔपचारिक

Which statements are true? (Choose all that apply.)

जो भी लागू हों, सभी चुनें

5. Sets

मुख्यमानवीय

What is the cardinality ∣{a,b,a,c,b}∣|\{a, b, a, c, b\}|?

6. Sets

मुख्यमानवीय

A café offers 3 drinks and 4 snacks. A combo is an ordered pair (drink, snack). If DD is the set of drinks and SS the set of snacks, how many elements does D×SD \times S have?

7. Sets

चुनौतीमानवीय

In a class, 14 students play football, 9 play chess, and 5 play both. How many play at least one of the two games?

8. Sets

चुनौतीसंगणनात्मक

Write a Python function is_subset(a, b) that returns True exactly when every element of the set a is an element of the set b. Don't use Python's built-in <= or issubset — loop over the elements instead.

यह पूरी तरह आपके ब्राउज़र में, एक अलग-थलग वर्कर में चलता है। किसी सर्वर पर कुछ नहीं भेजा जाता।
आम भ्रांतियाँH

Common misconceptions

भ्रांति

Confusing ∈\in with ⊆\subseteq. 3∈{1,2,3}3 \in \{1, 2, 3\} is true, but 3⊆{1,2,3}3 \subseteq \{1, 2, 3\} is not even meaningful in school mathematics — 33 is a number, not a set. Correct: {3}⊆{1,2,3}\{3\} \subseteq \{1, 2, 3\}.

भ्रांति

Thinking {∅}\{\varnothing\} is empty. {∅}\{\varnothing\} is a box containing an empty box. It has exactly one element, so ∣{∅}∣=1|\{\varnothing\}| = 1, while ∣∅∣=0|\varnothing| = 0.

भ्रांति

Adding sizes for a union. ∣A∪B∣=∣A∣+∣B∣|A \cup B| = |A| + |B| only when AA and BB have no elements in common.

भ्रांति

"I checked lots of examples, so it's proved." Examples can disprove a general statement, and they can build confidence, but they cannot prove a statement about all sets.

विस्मय पथ

Wonder Trails

समुच्चय सिद्धांत से संबंधH

Naive and axiomatic set theory

In this lesson we have used naive set theory: we assumed that any clear description gives a set. That works perfectly for school mathematics. But in 1901, Bertrand Russell discovered that the description "the set of all sets that are not members of themselves" leads to a contradiction. Mathematicians responded by writing down precise axioms for which sets exist — most commonly the system called ZFC. You can meet that story on the Boxes inside boxes trail, and properly at university.

संवर्ग सिद्धांत से संबंधH

A first glimpse of structure

Subsets of a universe UU, ordered by ⊆\subseteq, have a beautiful property. The intersection A∩BA \cap B is the largest set that sits inside both AA and BB:

C⊆A and C⊆B⟺C⊆A∩B.C \subseteq A \text{ and } C \subseteq B \quad\Longleftrightarrow\quad C \subseteq A \cap B.

Describing an object by how other objects relate to it, rather than by listing its elements, is called a universal property. Much later you will see that this exact property makes A∩BA \cap B a product in the category of subsets of UU — and that Cartesian products of sets are characterised in the same spirit.

इतिहास और वैश्विक संदर्भ

History and global context

  • Thinkers in many traditions reasoned about collections, wholes and parts long before modern set theory. Jain mathematical texts from ancient India, for example, are often described as distinguishing several kinds of infinite quantity.
  • In the 1760s Leonhard Euler used circles to illustrate logical relationships in his Letters to a German Princess. John Venn introduced the diagrams that bear his name in 1880.
  • Modern set theory was created in the 1870s–1890s, above all by Georg Cantor, with essential contributions from Richard Dedekind. Earlier, Bernard Bolzano's Paradoxes of the Infinite (published 1851) had already explored infinite collections.
  • The axioms now most widely used, ZFC, are named after Ernst Zermelo and Abraham Fraenkel, with the axiom of Choice.
आगे पढ़ने के लिए

Further reading

  • Paul R. Halmos, Naive Set Theory (1960).
  • Herbert B. Enderton, Elements of Set Theory (1977).
  • Jeremy Avigad, Patrick Massot et al., Mathematics in Lean — a free online book that formalises sets and functions with Mathlib.