Thursday, November 16, 2006

 

Basic mathematical symbols

Symbol
Name
Explanation Examples
Read as
Category
=
equality x = y means x and y represent the same thing or value. 1 + 1 = 2
is equal to; equals
everywhere
≠

<>

!=
inequation x ≠ y means that x and y do not represent the same thing or value.

(The symbols != and <> are primarily from computer science. They are avoided in mathematical texts.)
1 ≠ 2
is not equal to; does not equal
everywhere
< >

≪

≫
strict inequality x < y means x is less than y.

x > y means x is greater than y.

x ≪ y means x is much less than y.

x ≫ y means x is much greater than y.
3 <> 4.

0.003 ≪ 1000000

is less than, is greater than, is much less than, is much greater than
order theory
≤

≥
inequality x ≤ y means x is less than or equal to y.

x ≥ y means x is greater than or equal to y.
3 ≤ 4 and 5 ≤ 5
5 ≥ 4 and 5 ≥ 5
is less than or equal to, is greater than or equal to
order theory
∝
proportionality y ∝ x means that y = kx for some constant k. if y = 2x, then y ∝ x
is proportional to
everywhere
+
addition 4 + 6 means the sum of 4 and 6. 2 + 7 = 9
plus
arithmetic
disjoint union A1 + A2 means the disjoint union of sets A1 and A2. A1 = {1, 2, 3, 4} ∧ A2 = {2, 4, 5, 7} ⇒
A1 + A2 = {(1,1), (2,1), (3,1), (4,1), (2,2), (4,2), (5,2), (7,2)}
the disjoint union of ... and ...
set theory
−
subtraction 9 − 4 means the subtraction of 4 from 9. 8 − 3 = 5
minus
arithmetic
negative sign −3 means the negative of the number 3. −(−5) = 5
negative ; minus
arithmetic
set-theoretic complement A − B means the set that contains all the elements of A that are not in B. {1,2,4} − {1,3,4} = {2}
minus; without
set theory
×
multiplication 3 × 4 means the multiplication of 3 by 4. 7 × 8 = 56
times
arithmetic
Cartesian product X×Y means the set of all ordered pairs with the first element of each pair selected from X and the second element selected from Y. {1,2} × {3,4} = {(1,3),(1,4),(2,3),(2,4)}
the Cartesian product of ... and ...; the direct product of ... and ...
set theory
cross product u × v means the cross product of vectors u and v (1,2,5) × (3,4,−1) =
(−22, 16, − 2)
cross
vector algebra
·
multiplication 3 · 4 means the multiplication of 3 by 4. 7 · 8 = 56
times
arithmetic
dot product u · v means the dot product of vectors u and v (1,2,5) · (3,4,−1) = 6
dot
vector algebra
÷

⁄
division 6 ÷ 3 or 6 ⁄ 3 means the division of 6 by 3. 2 ÷ 4 = .5

12 ⁄ 4 = 3
divided by
arithmetic
±
plus-minus 6 ± 3 means both 6 + 3 and 6 - 3. The equation x = 5 ± √4, has two solutions, x = 7 and x = 3.
plus or minus
arithmetic
plus-minus 10 ± 2 or eqivalently 10 ± 20% means the range from 10 − 2 to 10 + 2. If a = 100 ± 1 mm, then a is ≥ 99 mm and ≤ 101 mm.
plus or minus
measurment
∓
minus-plus 6 ± (3 ∓ 5) means both 6 + (3 - 5) and 6 - (3 + 5). cos(x ± y) = cos(x) cos(y) ∓ sin(x) sin(y).
minus or plus
arithmetic
√
square root √x means the positive number whose square is x. √4 = 2
the principal square root of; square root
real numbers
complex square root if z = r exp(iφ) is represented in polar coordinates with -π < φ ≤ π, then √z = √r exp(i φ/2). √(-1) = i
the complex square root of …

square root
complex numbers
|…|
absolute value |x| means the distance along the real line (or across the complex plane) between x and zero. |3| = 3

|–5| = |5|

| i | = 1

| 3 + 4i | = 5
absolute value of
numbers
Euclidean distance |x – y| means the Euclidean distance between x and y. For x = (1,1), and y = (4,5),
|x – y| = √([1–4]2 + [1–5]2) = 5
Euclidean distance between; Euclidean norm of
Geometry
|
divides A single vertical bar is used to denote divisibility.
a|b means a divides b.
Since 15 = 3×5, it is true that 3|15 and 5|15.
divides
Number Theory
!
factorial n ! is the product 1 × 2× ... × n. 4! = 1 × 2 × 3 × 4 = 24
factorial
combinatorics


T
transpose Swap rows for columns Aij = (AT)ji
transpose
matrix operations


~
probability distribution X ~ D, means the random variable X has the probability distribution D. X ~ N(0,1), the standard normal distribution
has distribution
statistics
⇒

→

⊃
material implication A ⇒ B means if A is true then B is also true; if A is false then nothing is said about B.

→ may mean the same as ⇒, or it may have the meaning for functions given below.

⊃ may mean the same as ⇒, or it may have the meaning for superset given below.
x = 2 ⇒ x2 = 4 is true, but x2 = 4 ⇒ x = 2 is in general false (since x could be −2).
implies; if … then
propositional logic
⇔

↔
material equivalence A ⇔ B means A is true if B is true and A is false if B is false. x + 5 = y +2 ⇔ x + 3 = y
if and only if; iff
propositional logic
¬

˜
logical negation The statement ¬A is true if and only if A is false.

A slash placed through another operator is the same as "¬" placed in front.

(The symbol ~ has many other uses, so ¬ or the slash notation is preferred.)
¬(¬A) ⇔ A
x ≠ y ⇔ ¬(x = y)
not
propositional logic
∧
logical conjunction or meet in a lattice The statement A ∧ B is true if A and B are both true; else it is false.

For functions A(x) and B(x), A(x) ∧ B(x) is used to mean min(A(x), B(x)).
n <>n >2 ⇔ n = 3 when n is a natural number.
and; min
propositional logic, lattice theory
∨
logical disjunction or join in a lattice The statement A ∨ B is true if A or B (or both) are true; if both are false, the statement is false.

For functions A(x) and B(x), A(x) ∨ B(x) is used to mean max(A(x), B(x)).
n ≥ 4 ∨ n ≤ 2 ⇔ n ≠ 3 when n is a natural number.
or; max
propositional logic, lattice theory

⊕


⊻
exclusive or The statement A ⊕ B is true when either A or B, but not both, are true. A ⊻ B means the same. (¬A) ⊕ A is always true, A ⊕ A is always false.
xor
propositional logic, Boolean algebra
direct sum The direct sum is a special way of combining several one modules into one general module (the symbol ⊕ is used, ⊻ is only for logic).

Most commonly, for vector spaces U, V, and W, the following consequence is used:
U = V ⊕ W ⇔ (U = V + W) ∧ (V ∩ W = ∅)
direct sum of
Abstract algebra
∀
universal quantification ∀ x: P(x) means P(x) is true for all x. ∀ n ∈ ℕ: n2 ≥ n.
for all; for any; for each
predicate logic
∃
existential quantification ∃ x: P(x) means there is at least one x such that P(x) is true. ∃ n ∈ ℕ: n is even.
there exists
predicate logic
∃!
uniqueness quantification ∃! x: P(x) means there is exactly one x such that P(x) is true. ∃! n ∈ ℕ: n + 5 = 2n.
there exists exactly one
predicate logic
:=

≡

:⇔
definition x := y or x ≡ y means x is defined to be another name for y

(Some writers use ≡ to mean congruence).

P :⇔ Q means P is defined to be logically equivalent to Q.
cosh x := (1/2)(exp x + exp (−x))

A xor B :⇔ (A ∨ B) ∧ ¬(A ∧ B)
is defined as
everywhere
≅
congruence △ABC ≅ △DEF means triangle ABC is congruent to (has the same measurements as) triangle DEF.
is congruent to
geometry
{ , }
set brackets {a,b,c} means the set consisting of a, b, and c. ℕ = { 1, 2, 3, …}
the set of …
set theory
{ : }

{ | }
set builder notation {x : P(x)} means the set of all x for which P(x) is true. {x | P(x)} is the same as {x : P(x)}. {n ∈ ℕ : n2 <>
the set of … such that
set theory
∅

{ }
empty set ∅ means the set with no elements. { } means the same. {n ∈ ℕ : 1 < n2 < class="Unicode">∅
the empty set
set theory
∈

∉
set membership a ∈ S means a is an element of the set S; a ∉ S means a is not an element of S. (1/2)−1 ∈ ℕ

2−1 ∉ ℕ
is an element of; is not an element of
everywhere, set theory
⊆

⊂
subset (subset) A ⊆ B means every element of A is also element of B.

(proper subset) A ⊂ B means A ⊆ B but A ≠ B.

(Some writers use the symbol ⊂ as if it were the same as ⊆.)
(A ∩ B) ⊆ A

ℕ ⊂ ℚ

ℚ ⊂ ℝ
is a subset of
set theory
⊇

⊃
superset A ⊇ B means every element of B is also element of A.

A ⊃ B means A ⊇ B but A ≠ B.

(Some writers use the symbol ⊃ as if it were the same as ⊇.)
(A ∪ B) ⊇ B

ℝ ⊃ ℚ
is a superset of
set theory
∪
set-theoretic union (exclusive) A ∪ B means the set that contains all the elements from A, or all the elements from B, but not both.
"A or B, but not both."

(inclusive) A ∪ B means the set that contains all the elements from A, or all the elements from B, or all the elements from both A and B.
"A or B or both".
A ⊆ B ⇔ (A ∪ B) = B (inclusive)
the union of … and

union
set theory
∩
set-theoretic intersection A ∩ B means the set that contains all those elements that A and B have in common. {x ∈ ℝ : x2 = 1} ∩ ℕ = {1}
intersected with; intersect
set theory
Δ
symmetric difference AΔB means the set of elements in exactly one of A or B. {1,5,6,8} Δ {2,5,8} = {1,2,6}
symmetric difference
set theory
∖
set-theoretic complement A ∖ B means the set that contains all those elements of A that are not in B. {1,2,3,4} ∖ {3,4,5,6} = {1,2}
minus; without
set theory
( )
function application f(x) means the value of the function f at the element x. If f(x) := x2, then f(3) = 32 = 9.
of
set theory
precedence grouping Perform the operations inside the parentheses first. (8/4)/2 = 2/2 = 1, but 8/(4/2) = 8/2 = 4.
parentheses
everywhere
f:X→Y
function arrow f: X → Y means the function f maps the set X into the set Y. Let f: ℤ → ℕ be defined by f(x) := x2.
from … to
set theory
o
function composition fog is the function, such that (fog)(x) = f(g(x)). if f(x) := 2x, and g(x) := x + 3, then (fog)(x) = 2(x + 3).
composed with
set theory
ℕ

N
natural numbers N means { 1, 2, 3, ...}, but see the article on natural numbers for a different convention. ℕ = {|a| : a ∈ ℤ, a ≠ 0}
N
numbers
ℤ

Z
integers ℤ means {..., −3, −2, −1, 0, 1, 2, 3, ...} and ℤ+ means {1, 2, 3, ...} = ℕ. ℤ = {p, -p : p ∈ ℕ} ∪ {0}
Z
numbers
ℚ

Q
rational numbers ℚ means {p/q : p ∈ ℤ, q ∈ ℕ}. 3.14000... ∈ ℚ

π ∉ ℚ
Q
numbers
ℝ

R
real numbers ℝ means the set of real numbers. π ∈ ℝ

√(−1) ∉ ℝ
R
numbers
ℂ

C
complex numbers ℂ means {a + b i : a,b ∈ ℝ}. i = √(−1) ∈ ℂ
C
numbers
arbitrary constant C can be any number, most likely unknown; usually occurs when calculating antiderivatives. if f(x) = 6x² + 4x, then F(x) = 2x³ + 2x² + C
C
integral calculus
∞
infinity ∞ is an element of the extended number line that is greater than all real numbers; it often occurs in limits. limx→0 1/|x| = ∞
infinity
numbers
π
pi π is the ratio of a circle's circumference to its diameter. Its value is 3.14159265... . A = π r² is the area of a circle with radius r

π radians = 180°

π ≈ 22 / 7
pi
Euclidean geometry
||…||
norm || x || is the norm of the element x of a normed vector space. || x + y || ≤ || x || + || y ||
norm of

length of
linear algebra
∑
summation

\sum_{k=1}^{n}{a_k} means a1 + a2 + … + an.

\sum_{k=1}^{4}{k^2} = 12 + 22 + 32 + 42

= 1 + 4 + 9 + 16 = 30
sum over … from … to … of
arithmetic
∏
product

\prod_{k=1}^na_k means a1a2···an.

\prod_{k=1}^4(k+2) = (1+2)(2+2)(3+2)(4+2)

= 3 × 4 × 5 × 6 = 360
product over … from … to … of
arithmetic
Cartesian product

\prod_{i=0}^{n}{Y_i} means the set of all (n+1)-tuples

(y0, …, yn).

\prod_{n=1}^{3}{\mathbb{R}} = \mathbb{R}\times\mathbb{R}\times\mathbb{R} = \mathbb{R}^3

the Cartesian product of; the direct product of
set theory
∐
coproduct

coproduct over … from … to … of
category theory
′
derivative f ′(x) is the derivative of the function f at the point x, i.e., the slope of the tangent to f at x. If f(x) := x2, then f ′(x) = 2x
… prime

derivative of
calculus
∫
indefinite integral or antiderivative ∫ f(x) dx means a function whose derivative is f. ∫x2 dx = x3/3 + C
indefinite integral of

the antiderivative of
calculus
definite integral ∫ab f(x) dx means the signed area between the x-axis and the graph of the function f between x = a and x = b. ∫0b x2 dx = b3/3;
integral from … to … of … with respect to
calculus
∇
gradient ∇f (x1, …, xn) is the vector of partial derivatives (∂f / ∂x1, …, ∂f / ∂xn). If f (x,y,z) := 3xy + z², then ∇f = (3y, 3x, 2z)
del, nabla, gradient of
calculus
∂
partial derivative With f (x1, …, xn), ∂f/∂xi is the derivative of f with respect to xi, with all other variables kept constant. If f(x,y) := x2y, then ∂f/∂x = 2xy
partial derivative of
calculus
boundary ∂M means the boundary of M ∂{x : ||x|| ≤ 2} = {x : ||x|| = 2}
boundary of
topology
⊥
perpendicular x ⊥ y means x is perpendicular to y; or more generally x is orthogonal to y. If l ⊥ m and m ⊥ n then l || n.
is perpendicular to
geometry
bottom element x = ⊥ means x is the smallest element. ∀x : x ∧ ⊥ = ⊥
the bottom element
lattice theory
||
parallel x || y means x is parallel to y. If l || m and m ⊥ n then l ⊥ n.
is parallel to
geometry
⊧
entailment A ⊧ B means the sentence A entails the sentence B, that is every model in which A is true, B is also true. A ⊧ A ∨ ¬A
entails
model theory
⊢
inference x ⊢ y means y is derived from x. A → B ⊢ ¬B → ¬A
infers or is derived from
propositional logic, predicate logic
◅
normal subgroup N ◅ G means that N is a normal subgroup of group G. Z(G) ◅ G
is a normal subgroup of
group theory
/
quotient group G/H means the quotient of group G modulo its subgroup H. {0, a, 2a, b, b+a, b+2a} / {0, b} = {{0, b}, {a, b+a}, {2a, b+2a}}
mod
group theory
quotient set A/~ means the set of all ~ equivalence classes in A.

set theory
≈
isomorphism G ≈ H means that group G is isomorphic to group H Q / {1, −1} ≈ V,
where Q is the quaternion group and V is the Klein four-group.
is isomorphic to
group theory
approximately equal x ≈ y means x is approximately equal to y π ≈ 3.14159
is approximately equal to
everywhere
~
same order of magnitude m ~ n, means the quantities m and n have the general size.

(Note that ~ is used for an approximation that is poor, otherwise use ≈ .)
2 ~ 5

8 × 9 ~ 100

but π2 ≈ 10
roughly similar

poorly approximates
Approximation theory


<,>
inner product <x,y> means the inner product between x and y, as defined in an inner product space. The standard inner product between two vectors x = (2, 3) and y = (-1, 5) is:
= 2×-1 + 3×5 = 13
inner product of
vector algebra
⊗
tensor product V ⊗ U means the tensor product of V and U. {1, 2, 3, 4} ⊗ {1,1,2} =
{{1, 2, 3, 4}, {1, 2, 3, 4}, {2, 4, 6, 8}}
tensor product of
linear algebra

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