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संकेत एचटीएमएल में	संकेत TeX में	नाम	व्याख्या	उदाहरण
		इसे ऐसे पढ़ते हैं
		श्रेणी
=	$=\!\,$	समता चिन्ह बराबर, बराबर है सब जगह	x = y का अर्थ है कि x और y के मान बराबर हैं या दोनो एक ही चीज को निरूपित कर रहे हैं।	2 = 2 1 + 1 = 2
≠	$\neq \!\,$	असमता बराबर नहीं है ; असमान है सर्वत्र	x ≠ y का अर्थ है कि x और y के मान समान नहीं है अथवा दोनो एक ही चीज को निरूपित नहीं करते। (The forms !=, /= or <> are generally used in programming languages where ease of typing and use of ASCII text is preferred.)	2 + 2 ≠ 5
< >	$<\!\,$ $>\!\,$	strict inequality is less than, is greater than order theory	x < y means x is less than y. x > y means x is greater than y.	3 < 4 5 > 4
		proper subgroup is a proper subgroup of group theory	H < G means H is a proper subgroup of G.	5Z < Z A3  < S3
≪ ≫	$\ll \!\,$ $\gg \!\,$	(very) strict inequality is much less than, is much greater than order theory	x ≪ y means x is much less than y. x ≫ y means x is much greater than y.	0.003 ≪ 1000000
		asymptotic comparison of smaller (greater) order than analytic number theory	f ≪ g means the growth of f is asymptotically bounded by g. (This is I. M. Vinogradov's notation. Another notation is the Big O notation, which looks like f = O(g).)	x ≪ ex
≤ ≥	$\leq \!\,$ $\geq \!\,$	inequality is less than or equal to, is greater than or equal to order theory	x ≤ y means x is less than or equal to y. x ≥ y means x is greater than or equal to y. (The forms <= and >= are generally used in programming languages where ease of typing and use of ASCII text is preferred.)	3 ≤ 4 and 5 ≤ 5 5 ≥ 4 and 5 ≥ 5
		subgroup is a subgroup of group theory	H ≤ G means H is a subgroup of G.	Z ≤ Z A3  ≤ S3
		reduction is reducible to computational complexity theory	A ≤ B means the problem A can be reduced to the problem B. Subscripts can be added to the ≤ to indicate what kind of reduction.	If $\exists f\in F{\mbox{ . }}\forall x\in \mathbb {N} {\mbox{ . }}x\in A\Leftrightarrow f(x)\in B$ then $A\leq _{F}B$
≺	$\prec \!\,$	Karp reduction is Karp reducible to; is polynomial-time many-one reducible to computational complexity theory	L1 ≺ L2 means that the problem L1 is Karp reducible to L2.	If L1 ≺ L2 and L2 ∈ P, then L1 ∈ P.
∝	$\propto \!\,$	proportionality is proportional to; varies as everywhere	y ∝ x means that y = kx for some constant k.	if y = 2x, then y ∝ x.
		Karp reduction is Karp reducible to; is polynomial-time many-one reducible to computational complexity theory	A ∝ B means the problem A can be polynomially reduced to the problem B.	If L1 ∝ L2 and L2 ∈ P, then L1 ∈ P.
+	$+\!\,$	addition plus; add arithmetic	4 + 6 means the sum of 4 and 6.	2 + 7 = 9
		disjoint union the disjoint union of ... and ... set theory	A1 + A2 means the disjoint union of sets A1 and A2.	A1 = {3, 4, 5, 6} ∧ A2 = {7, 8, 9, 10} ⇒ A1 + A2 = {(3,1), (4,1), (5,1), (6,1), (7,2), (8,2), (9,2), (10,2)}
−	$-\!\,$	subtraction minus; take; subtract arithmetic	9 − 4 means the subtraction of 4 from 9.	8 − 3 = 5
		negative sign negative; minus; the opposite of arithmetic	−3 means the negative of the number 3.	−(−5) = 5
		set-theoretic complement minus; without set theory	A − B means the set that contains all the elements of A that are not in B. (∖ can also be used for set-theoretic complement as described below.)	{1,2,4} − {1,3,4}  =  {2}
×	$\times \!\,$	multiplication times; multiplied by arithmetic	3 × 4 means the multiplication of 3 by 4.	7 × 8 = 56
		Cartesian product the Cartesian product of ... and ...; the direct product of ... and ... set theory	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)}
		cross product cross vector algebra	u × v means the cross product of vectors u and v	(1,2,5) × (3,4,−1) = (−22, 16, − 2)
		group of units the group of units of ring theory	R× consists of the set of units of the ring R, along with the operation of multiplication. This may also be written R* as described below, or U(R).	${\begin{aligned}(\mathbb {Z} /5\mathbb {Z} )^{\times }&=\{[1],[2],[3],[4]\}\\&\cong C_{4}\\\end{aligned}}$
·	$\cdot \!\,$	multiplication times; multiplied by arithmetic	3 · 4 means the multiplication of 3 by 4.	7 · 8 = 56
		dot product dot vector algebra	u · v means the dot product of vectors u and v	(1,2,5) · (3,4,−1) = 6
÷ ⁄	$\div \!\,$ $/\!\,$	division (Obelus) divided by; over arithmetic	6 ÷ 3 or 6 ⁄ 3 means the division of 6 by 3.	2 ÷ 4 = .5 12 ⁄ 4 = 3
		quotient group mod group theory	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}}
		quotient set mod set theory	A/~ means the set of all ~ equivalence classes in A.	If we define ~ by x ~ y ⇔ x − y ∈ ℤ, then ℝ/~ = {x + n : n ∈ ℤ : x ∈ (0,1]}
±	$\pm \!\,$	plus-minus plus or minus arithmetic	6 ± 3 means both 6 + 3 and 6 − 3.	The equation x = 5 ± √4, has two solutions, x = 7 and x = 3.
		plus-minus plus or minus measurement	10 ± 2 or equivalently 10 ± 20% means the range from 10 − 2 to 10 + 2.	If a = 100 ± 1 mm, then a ≥ 99 mm and a ≤ 101 mm.
∓	$\mp \!\,$	minus-plus minus or plus arithmetic	6 ± (3 ∓ 5) means both 6 + (3 − 5) and 6 − (3 + 5).	cos(x ± y) = cos(x) cos(y) ∓ sin(x) sin(y).
√	$\surd \!\,$ ${\sqrt {\ }}\!\,$	square root the (principal) square root of real numbers	${\sqrt {x}}$ means the positive number whose square is $x$.	${\sqrt {4}}=2$
		complex square root the (complex) square root of complex numbers	if $z=r\,\exp(i\phi )$ is represented in polar coordinates with $-\pi <\phi \leq \pi$, then ${\sqrt {z}}={\sqrt {r}}\exp(i\phi /2)$.	${\sqrt {-1}}=i$
|…|	$|\ldots |\!\,$	absolute value or modulus absolute value of; modulus of numbers	|x| means the distance along the real line (or across the complex plane) between x and zero.	|3| = 3 |–5| = |5| = 5 | i | = 1 | 3 + 4i | = 5
		Euclidean distance Euclidean distance between; Euclidean norm of geometry	|x – y| means the Euclidean distance between x and y.	For x = (1,1), and y = (4,5), $|{\textbf {x}}-{\textbf {y}}|={\sqrt {(1-4)^{2}+(1-5)^{2}}}=5$
		determinant determinant of matrix theory	|A| means the determinant of the matrix A	${\begin{vmatrix}1&2\\2&4\\\end{vmatrix}}=0$
		cardinality cardinality of; size of; order of set theory	|X| means the cardinality of the set X. (# may be used instead as described below.)	|{3, 5, 7, 9}| = 4.
||…||	$\|\ldots \|\!\,$	norm norm of; length of linear algebra	|| x || means the norm of the element x of a normed vector space.	|| x  + y || ≤  || x ||  +  || y ||
		nearest integer function nearest integer to numbers	||x|| means the nearest integer to x. (This may also be written [x], ⌊x⌉, nint(x) or Round(x).)	||1|| = 1, ||1.6|| = 2, ||−2.4|| = −2, ||3.49|| = 3
∣ ∤	$\mid \!\,$ $\nmid \!\,$	divisor, divides divides number theory	a|b means a divides b. a∤b means a does not divide b. (This symbol can be difficult to type, and its negation is rare, so a regular but slightly shorter vertical bar | character can be used.)	Since 15 = 3×5, it is true that 3|15 and 5|15.
		conditional probability given probability	P(A|B) means the probability of the event a occurring given that b occurs.	if X is a uniformly random day of the year P(X is May 25 | X is in May) = 1/31
		restriction restriction of … to …; restricted to set theory	f|A means the function f restricted to the set A, that is, it is the function with domain A ∩ dom(f) that agrees with f.	The function f : R → R defined by f(x) = x2 is not injective, but f|R+ is injective.
||	$\|\!\,$	parallel is parallel to geometry	x || y means x is parallel to y.	If l || m and m ⊥ n then l ⊥ n.
		incomparability is incomparable to order theory	x || y means x is incomparable to y.	{1,2} || {2,3} under set containment.
		exact divisibility exactly divides number theory	pa || n means pa exactly divides n (i.e. pa divides n but pa+1 does not).	23 || 360.
#	$\#\!\,$	cardinality cardinality of; size of; order of set theory	#X means the cardinality of the set X. (|…| may be used instead as described above.)	#{4, 6, 8} = 3
		connected sum connected sum of; knot sum of; knot composition of topology, knot theory	A#B is the connected sum of the manifolds A and B. If A and B are knots, then this denotes the knot sum, which has a slightly stronger condition.	A#Sm is homeomorphic to A, for any manifold A, and the sphere Sm.
ℵ	$\aleph \!\,$	aleph number aleph set theory	ℵα represents an infinite cardinality (specifically, the α-th one, where α is an ordinal).	|ℕ| = ℵ0, which is called aleph-null.
ℶ	$\beth \!\,$	beth number beth set theory	ℶα represents an infinite cardinality (similar to ℵ, but ℶ does not necessarily index all of the numbers indexed by ℵ.).	$\beth _{1}=|P(\mathbb {N} )|=2^{\aleph _{0}}.$
𝔠	${\mathfrak {c}}\!\,$	cardinality of the continuum cardinality of the continuum; cardinality of the real numbers; c; set theory	The cardinality of $\mathbb {R}$ is denoted by $|\mathbb {R} |$ or by the symbol ${\mathfrak {c}}$ (a lowercase Fraktur letter C).	${\mathfrak {c}}={\beth }_{1}$
:	$:\!\,$	such that such that; so that everywhere	: means “such that”, and is used in proofs and the set-builder notation (described below).	∃ n ∈ ℕ: n is even.
		field extension extends; over field theory	K : F means the field K extends the field F. This may also be written as K ≥ F.	ℝ : ℚ
		inner product of matrices inner product of linear algebra	A : B means the Frobenius inner product of the matrices A and B. The general inner product is denoted by ⟨u, v⟩, ⟨u | v⟩ or (u | v), as described below. For spatial vectors, the dot product notation, x·y is common. See also Bra-ket notation.	$A:B=\sum _{i,j}A_{ij}B_{ij}\!\,$
!	$!\!\,$	factorial factorial combinatorics	n! means the product 1 × 2 × ... × n.	4! = 1 × 2 × 3 × 4 = 24
		logical negation not propositional logic	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 ! is primarily from computer science. It is avoided in mathematical texts, where the notation ¬A is preferred.)	!(!A) ⇔ A  x ≠ y  ⇔  !(x = y)
~	$\sim \!\,$	probability distribution has distribution statistics	X ~ D, means the random variable X has the probability distribution D.	X ~ N(0,1), the standard normal distribution
		row equivalence is row equivalent to matrix theory	A~B means that B can be generated by using a series of elementary row operations on A	${\begin{bmatrix}1&2\\2&4\\\end{bmatrix}}\sim {\begin{bmatrix}1&2\\0&0\\\end{bmatrix}}$
		same order of magnitude roughly similar; poorly approximates approximation theory	m ~ n means the quantities m and n have the same order of magnitude, or general size. (Note that ~ is used for an approximation that is poor, otherwise use ≈ .)	2 ~ 5 8 × 9 ~ 100 but π2 ≈ 10
		asymptotically equivalent is asymptotically equivalent to asymptotic analysis	f ~ g means $\lim _{n\to \infty }{\frac {f(n)}{g(n)}}=1$.	x ~ x+1
		equivalence relation are in the same equivalence class everywhere	a ~ b means $b\in [a]$ (and equivalently $a\in [b]$).	1 ~ 5 mod 4
≈	$\approx \!\,$	approximately equal is approximately equal to everywhere	x ≈ y means x is approximately equal to y.	π ≈ 3.14159
		isomorphism is isomorphic to group theory	G ≈ H means that group G is isomorphic (structurally identical) to group H. (≅ can also be used for isomorphic, as described below.)	Q / {1, −1} ≈ V, where Q is the quaternion group and V is the Klein four-group.
≀	$\wr \!\,$	wreath product wreath product of … by … group theory	A ≀ H means the wreath product of the group A by the group H. This may also be written A wr H.	$S_{n}\wr Z_{2}$ is isomorphic to the automorphism group of the complete bipartite graph on (n,n) vertices.
◅ ▻	$\triangleleft \!\,$ $\triangleright \!\,$	normal subgroup is a normal subgroup of group theory	N ◅ G means that N is a normal subgroup of group G.	Z(G) ◅ G
		ideal is an ideal of ring theory	I ◅ R means that I is an ideal of ring R.	(2) ◅ Z
		antijoin the antijoin of relational algebra	R ▻ S means the antijoin of the relations R and S, the tuples in R for which there is not a tuple in S that is equal on their common attribute names.	R $\triangleright$ S = R - R $\ltimes$ S
⋉ ⋊	$\ltimes \!\,$ $\rtimes \!\,$	semidirect product the semidirect product of group theory	N ⋊φ H is the semidirect product of N (a normal subgroup) and H (a subgroup), with respect to φ. Also, if G = N ⋊φ H, then G is said to split over N. (⋊ may also be written the other way round, as ⋉, or as ×.)	$D_{2n}\cong C_{n}\rtimes C_{2}$
		semijoin the semijoin of relational algebra	R ⋉ S is the semijoin of the relations R and S, the set of all tuples in R for which there is a tuple in S that is equal on their common attribute names.	R $\ltimes$ S = $\Pi$a1,..,an(R $\bowtie$ S)
⋈	$\bowtie \!\,$	natural join the natural join of relational algebra	R ⋈ S is the natural join of the relations R and S, the set of all combinations of tuples in R and S that are equal on their common attribute names.
∴	$\therefore \!\,$	therefore therefore; so; hence everywhere	Sometimes used in proofs before logical consequences.	All humans are mortal. Socrates is a human. ∴ Socrates is mortal.
∵	$\because \!\,$	because because; since everywhere	Sometimes used in proofs before reasoning.	3331 is prime ∵ it has no positive integer factors other than itself and one.
■ □ ∎ ▮ ‣	$\blacksquare \!\,$ $\Box \!\,$ $\blacktriangleright \!\,$	end of proof QED; tombstone; Halmos symbol everywhere	Used to mark the end of a proof. (May also be written Q.E.D.)
⇒ → ⊃	$\Rightarrow \!\,$ $\rightarrow \!\,$ $\supset \!\,$	material implication implies; if … then propositional logic, Heyting algebra	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).
⇔ ↔	$\Leftrightarrow \!\,$ $\leftrightarrow \!\,$	material equivalence if and only if; iff propositional logic	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
¬ ˜	$\neg \!\,$ $\sim \!\,$	logical negation not propositional logic	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. Computer scientists will often use ! but this is avoided in mathematical texts.)	¬(¬A) ⇔ A x ≠ y  ⇔  ¬(x =  y)
∧	$\land \!\,$	logical conjunction or meet in a lattice and; min; meet propositional logic, lattice theory	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 < 4  ∧  n >2  ⇔  n = 3 when n is a natural number.
		wedge product wedge product; exterior product linear algebra	u ∧ v means the wedge product of vectors u and v. This generalizes the cross product to higher dimensions. (For vectors in R3, × can also be used.)	$u\wedge v=u\times v,{\mbox{ if }}u,v\in \mathbb {R} ^{3}$
		exponentiation … (raised) to the power of … everywhere	a ^ b means a raised to the power of b (a ^ b is more commonly written ab. The symbol ^ is generally used in programming languages where ease of typing and use of plain ASCII text is preferred.)	2^3 = 23 = 8
∨	$\lor \!\,$	logical disjunction or join in a lattice or; max; join propositional logic, lattice theory	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.
⊕ ⊻	$\oplus \!\,$ $\veebar \!\,$	exclusive or xor propositional logic, Boolean algebra	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.
		direct sum direct sum of abstract algebra	The direct sum is a special way of combining several objects into one general object. (The bun symbol ⊕, or the coproduct 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 = {0})
∀	$\forall \!\,$	universal quantification for all; for any; for each predicate logic	∀ x: P(x) means P(x) is true for all x.	∀ n ∈ ℕ: n2 ≥ n.
∃	$\exists \!\,$	existential quantification there exists; there is; there are predicate logic	∃ x: P(x) means there is at least one x such that P(x) is true.	∃ n ∈ ℕ: n is even.
∃!	$\exists !\!\,$	uniqueness quantification there exists exactly one predicate logic	∃! x: P(x) means there is exactly one x such that P(x) is true.	∃! n ∈ ℕ: n + 5 = 2n.
:= ≡ :⇔ ≜ ≝ ≐	$:=\!\,$ $\equiv \!\,$ $:\Leftrightarrow \!\,$ $\triangleq \!\,$ ${\overset {\underset {\mathrm {def} }{}}{=}}\!\,$ $\doteq \!\,$	definition is defined as; equal by definition everywhere	x := y or x ≡ y means x is defined to be another name for y, under certain assumptions taken in context. (Some writers use ≡ to mean congruence). P :⇔ Q means P is defined to be logically equivalent to Q.	$\cosh x:={\frac {e^{x}+e^{-x}}{2}}$
≅	$\cong \!\,$	congruence is congruent to geometry	△ABC ≅ △DEF means triangle ABC is congruent to (has the same measurements as) triangle DEF.
		isomorphic is isomorphic to abstract algebra	G ≅ H means that group G is isomorphic (structurally identical) to group H. (≈ can also be used for isomorphic, as described above.)	$\mathbb {R} ^{2}\cong \mathbb {C}$.
≡	$\equiv \!\,$	congruence relation ... is congruent to ... modulo ... modular arithmetic	a ≡ b (mod n) means a − b is divisible by n	5 ≡ 2 (mod 3)
{ , }	${\{\,\!\ \}}\!\,$	set brackets the set of … set theory	{a,b,c} means the set consisting of a, b, and c.	ℕ = { 1, 2, 3, …}
{ : } { | }	$\{\ :\ \}\!\,$ $\{\ |\ \}\!\,$	set builder notation the set of … such that set theory	{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 < 20} = { 1, 2, 3, 4}
∅ { }	$\emptyset \!\,$ $\varnothing \!\,$ $\{\}\!\,$	empty set the empty set set theory	∅ means the set with no elements. { } means the same.	{n ∈ ℕ : 1 < n2 < 4} = ∅
∈ ∉	$\in \!\,$ $\notin \!\,$	set membership is an element of; is not an element of everywhere, set theory	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
⊆ ⊂	$\subseteq \!\,$ $\subset \!\,$	subset is a subset of set theory	(subset) A ⊆ B means every element of A is also an 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
⊇ ⊃	$\supseteq \!\,$ $\supset \!\,$	superset is a superset of set theory	A ⊇ B means every element of B is also an 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
∪	$\cup \!\,$	set-theoretic union the union of … or …; union set theory	A ∪ B means the set of those elements which are either in A, or in B, or in both.	A ⊆ B  ⇔  (A ∪ B) = B
∩	$\cap \!\,$	set-theoretic intersection intersected with; intersect set theory	A ∩ B means the set that contains all those elements that A and B have in common.	{x ∈ ℝ : x2 = 1} ∩ ℕ = {1}
∆	$\vartriangle \!\,$	symmetric difference symmetric difference set theory	A ∆ B means the set of elements in exactly one of A or B. (Not to be confused with delta, Δ, described below.)	{1,5,6,8} ∆ {2,5,8} = {1,2,6}
∖	$\setminus \!\,$	set-theoretic complement minus; without set theory	A ∖ B means the set that contains all those elements of A that are not in B. (− can also be used for set-theoretic complement as described above.)	{1,2,3,4} ∖ {3,4,5,6} = {1,2}
→	$\to \!\,$	function arrow from … to set theory, type theory	f: X → Y means the function f maps the set X into the set Y.	Let f: ℤ → ℕ∪{0} be defined by f(x) := x2.
↦	$\mapsto \!\,$	function arrow maps to set theory	f: a ↦ b means the function f maps the element a to the element b.	Let f: x ↦ x+1 (the successor function).
∘	$\circ \!\,$	function composition composed with set theory	f∘g is the function, such that (f∘g)(x) = f(g(x)).	if f(x) := 2x, and g(x) := x + 3, then (f∘g)(x) = 2(x + 3).
ℕ N	$\mathbb {N} \!\,$ $\mathbf {N} \!\,$	natural numbers N; the (set of) natural numbers numbers	N means either { 0, 1, 2, 3, ...} or { 1, 2, 3, ...}. The choice depends on the area of mathematics being studied; e.g. number theorists prefer the latter; analysts, set theorists and computer scientists prefer the former. To avoid confusion, always check an author's definition of N. Set theorists often use the notation ω (for least infinite ordinal) to denote the set of natural numbers (including zero), along with the standard ordering relation ≤.	ℕ = {|a| : a ∈ ℤ} or ℕ = {|a| > 0: a ∈ ℤ}
ℤ Z	$\mathbb {Z} \!\,$ $\mathbf {Z} \!\,$	integers Z; the (set of) integers numbers	ℤ means {..., −3, −2, −1, 0, 1, 2, 3, ...}. ℤ+ or ℤ> means {1, 2, 3, ...} . ℤ≥ means {0, 1, 2, 3, ...} .	ℤ = {p, −p : p ∈ ℕ ∪ {0}​}
ℤn ℤp Zn Zp	$\mathbb {Z} _{n}\!\,$ $\mathbb {Z} _{p}\!\,$ $\mathbf {Z} _{n}\!\,$ $\mathbf {Z} _{p}\!\,$	integers mod n Zn; the (set of) integers modulo n numbers	ℤn means {[0], [1], [2], ...[n−1]} with addition and multiplication modulo n. Note that any letter may be used instead of n, such as p. To avoid confusion with p-adic numbers, use ℤ/pℤ or ℤ/(p) instead.	ℤ3 = {[0], [1], [2]}
		p-adic integers the (set of) p-adic integers numbers	Note that any letter may be used instead of p, such as n or l.
ℙ P	$\mathbb {P} \!\,$ $\mathbf {P} \!\,$	projective space P; the projective space, the projective line, the projective plane topology	ℙ means a space with a point at infinity.	$\mathbb {P} ^{1}$,$\mathbb {P} ^{2}$
		probability the probability of probability theory	ℙ(X) means the probability of the event X occurring. This may also be written as P(X), Pr(X), P[X] or Pr[X].	If a fair coin is flipped, ℙ(Heads) = ℙ(Tails) = 0.5.
ℚ Q	$\mathbb {Q} \!\,$ $\mathbf {Q} \!\,$	rational numbers Q; the (set of) rational numbers; the rationals numbers	ℚ means {p/q : p ∈ ℤ, q ∈ ℕ}.	3.14000... ∈ ℚ π ∉ ℚ
ℝ R	$\mathbb {R} \!\,$ $\mathbf {R} \!\,$	real numbers R; the (set of) real numbers; the reals numbers	ℝ means the set of real numbers.	π ∈ ℝ √(−1) ∉ ℝ
ℂ C	$\mathbb {C} \!\,$ $\mathbf {C} \!\,$	complex numbers C; the (set of) complex numbers numbers	ℂ means {a + b i : a,b ∈ ℝ}.	i = √(−1) ∈ ℂ
ℍ H	$\mathbb {H} \!\,$ $\mathbf {H} \!\,$	quaternions or Hamiltonian quaternions H; the (set of) quaternions numbers	ℍ means {a + b i + c j + d k : a,b,c,d ∈ ℝ}.
O	$O$	Big O notation big-oh of Computational complexity theory	The Big O notation describes the limiting behavior of a function, when the argument tends towards a particular value or infinity.	If f(x) = 6x4 − 2x3 + 5 and g(x) = x4, then $f(x)=O(g(x)){\mbox{ as }}x\to \infty \,$
∞	$\infty \!\,$	infinity infinity numbers	∞ is an element of the extended number line that is greater than all real numbers; it often occurs in limits.	$\lim _{x\to 0}{\frac {1}{|x|}}=\infty$
⌊…⌋	$\lfloor \ldots \rfloor \!\,$	floor floor; greatest integer; entier numbers	⌊x⌋ means the floor of x, i.e. the largest integer less than or equal to x. (This may also be written [x], floor(x) or int(x).)	⌊4⌋ = 4, ⌊2.1⌋ = 2, ⌊2.9⌋ = 2, ⌊−2.6⌋ = −3
⌈…⌉	$\lceil \ldots \rceil \!\,$	ceiling ceiling numbers	⌈x⌉ means the ceiling of x, i.e. the smallest integer greater than or equal to x. (This may also be written ceil(x) or ceiling(x).)	⌈4⌉ = 4, ⌈2.1⌉ = 3, ⌈2.9⌉ = 3, ⌈−2.6⌉ = −2
⌊…⌉	$\lfloor \ldots \rceil \!\,$	nearest integer function nearest integer to numbers	⌊x⌉ means the nearest integer to x. (This may also be written [x], ||x||, nint(x) or Round(x).)	⌊2⌉ = 2, ⌊2.6⌉ = 3, ⌊-3.4⌉ = -3, ⌊4.49⌉ = 4
[ : ]	$[\ :\ ]\!\,$	degree of a field extension the degree of field theory	[K : F] means the degree of the extension K : F.	[ℚ(√2) : ℚ] = 2 [ℂ : ℝ] = 2 [ℝ : ℚ] = ∞
[ ] [ , ] [ , , ]	$[\ ]\!\,$ $[\,\ ]\!\,$ $[\,\,\ ]\!\,$	equivalence class the equivalence class of abstract algebra	[a] means the equivalence class of a, i.e. {x : x ~ a}, where ~ is an equivalence relation. [a]R means the same, but with R as the equivalence relation.	Let a ~ b be true iff a ≡ b (mod 5). Then [2] = {…, −8, −3, 2, 7, …}.
		floor floor; greatest integer; entier numbers	[x] means the floor of x, i.e. the largest integer less than or equal to x. (This may also be written ⌊x⌋, floor(x) or int(x). Not to be confused with the nearest integer function, as described below.)	[3] = 3, [3.5] = 3, [3.99] = 3, [−3.7] = −4
		nearest integer function nearest integer to numbers	[x] means the nearest integer to x. (This may also be written ⌊x⌉, ||x||, nint(x) or Round(x). Not to be confused with the floor function, as described above.)	[2] = 2, [2.6] = 3, [-3.4] = -3, [4.49] = 4
		Iverson bracket 1 if true, 0 otherwise propositional logic	[S] maps a true statement S to 1 and a false statement S to 0.	[0=5]=0, [7>0]=1, [2 ∈ {2,3,4}]=0, [5 ∈ {2,3,4}]=0
		image image of … under … everywhere	f[X] means { f(x) : x ∈ X }, the image of the function f under the set X ⊆ dom(f). (This may also be written as f(X) if there is no risk of confusing the image of f under X with the function application f of X. Another notation is Im f, the image of f under its domain.)	$\sin[\mathbb {R} ]=[-1,1]$
		closed interval closed interval order theory	$[a,b]=\{x\in \mathbb {R} :a\leq x\leq b\}$.	0 and 1/2 are in the interval [0,1].
		commutator the commutator of group theory, ring theory	[g, h] = g−1h−1gh (or ghg−1h−1), if g, h ∈ G (a group). [a, b] = ab − ba, if a, b ∈ R (a ring or commutative algebra).	xy = x[x, y] (group theory). [AB, C] = A[B, C] + [A, C]B (ring theory).
		triple scalar product the triple scalar product of vector calculus	[a, b, c] = a × b · c, the scalar product of a × b with c.	[a, b, c] = [b, c, a] = [c, a, b].
( ) (, )	पार्स नहीं कर पाये (सिन्टैक्स त्रुटि): {\displaystyle (\) \!\,} पार्स नहीं कर पाये (सिन्टैक्स त्रुटि): {\displaystyle (\, \) \!\,}	function application of set theory	f(x) means the value of the function f at the element x.	If f(x) := x2, then f(3) = 32 = 9.
		image image of … under … everywhere	f(X) means { f(x) : x ∈ X }, the image of the function f under the set X ⊆ dom(f). (This may also be written as f[X] if there is a risk of confusing the image of f under X with the function application f of X. Another notation is Im f, the image of f under its domain.)	$\sin(\mathbb {R} )=[-1,1]$
		precedence grouping parentheses everywhere	Perform the operations inside the parentheses first.	(8/4)/2 = 2/2 = 1, but 8/(4/2) = 8/2 = 4.
		tuple tuple; n-tuple; ordered pair/triple/etc; row vector; sequence everywhere	An ordered list (or sequence, or horizontal vector, or row vector) of values. (Note that the notation (a,b) is ambiguous: it could be an ordered pair or an open interval. Set theorists and computer scientists often use angle brackets ⟨ ⟩ instead of parentheses.)	(a, b) is an ordered pair (or 2-tuple). (a, b, c) is an ordered triple (or 3-tuple). () is the empty tuple (or 0-tuple).
		highest common factor highest common factor; greatest common divisor; hcf; gcd number theory	(a, b) means the highest common factor of a and b. (This may also be written hcf(a, b) or gcd(a, b).)	(3, 7) = 1 (they are coprime); (15, 25) = 5.
( , ) ] , [	पार्स नहीं कर पाये (सिन्टैक्स त्रुटि): {\displaystyle (\, \) \!\,} $]\,\ [\!\,$	open interval open interval order theory	$(a,b)=\{x\in \mathbb {R} :a<x<b\}$. (Note that the notation (a,b) is ambiguous: it could be an ordered pair or an open interval. The notation ]a,b[ can be used instead.)	4 is not in the interval (4, 18). (0, +∞) equals the set of positive real numbers.
( , ] ] , ]	$(\,\ ]\!\,$ $]\,\ ]\!\,$	left-open interval half-open interval; left-open interval order theory	$(a,b]=\{x\in \mathbb {R} :a<x\leq b\}$.	(−1, 7] and (−∞, −1]
[ , ) [ , [	पार्स नहीं कर पाये (सर्वर 'http://localhost:6011/hi.wikipedia.org/v1/' से अमान्य लेटेक्सएमएल उत्तर ('Math extension cannot connect to Restbase.')): {\displaystyle [\, \) \!\,} $[\,\ [\!\,$	right-open interval half-open interval; right-open interval order theory	$[a,b)=\{x\in \mathbb {R} :a\leq x<b\}$.	[4, 18) and [1, +∞)
⟨⟩ ⟨,⟩	$\langle \ \rangle \!\,$ $\langle \,\ \rangle \!\,$	inner product inner product of linear algebra	⟨u,v⟩ means the inner product of u and v, where u and v are members of an inner product space. Note that the notation ⟨u, v⟩ may be ambiguous: it could mean the inner product or the linear span. There are many variants of the notation, such as ⟨u | v⟩ and (u | v), which are described below. For spatial vectors, the dot product notation, x·y is common. For matrices, the colon notation A : B may be used. As ⟨ and ⟩ can be hard to type, the more “keyboard friendly” forms < and > are sometimes seen. These are avoided in mathematical texts.	The standard inner product between two vectors x = (2, 3) and y = (−1, 5) is: ⟨x, y⟩ = 2 × −1 + 3 × 5 = 13
		linear span (linear) span of; linear hull of linear algebra	⟨S⟩ means the span of S ⊆ V. That is, it is the intersection of all subspaces of V which contain S. ⟨u1, u2, …⟩is shorthand for ⟨{u1, u2, …}⟩. Note that the notation ⟨u, v⟩ may be ambiguous: it could mean the inner product or the linear span. The span of S may also be written as Sp(S).	$\left\langle \left({\begin{smallmatrix}1\\0\\0\end{smallmatrix}}\right),\left({\begin{smallmatrix}0\\1\\0\end{smallmatrix}}\right),\left({\begin{smallmatrix}0\\0\\1\end{smallmatrix}}\right)\right\rangle =\mathbb {R} ^{3}$.
		subgroup generated by a set the subgroup generated by group theory	$\langle S\rangle$ means the smallest subgroup of G (where S ⊆ G, a group) containing every element of S. $\langle g_{1},g_{2},...\rangle$ is shorthand for $\langle {g_{1},g_{2},...}\rangle$.	In S3, $\langle (1\;2)\rangle =\{id,\;(1\;2)\}$ and $\langle (1\;2\;3)\rangle =\{id,\;(1\;2\;3),(1\;2\;3))\}$.
		tuple tuple; n-tuple; ordered pair/triple/etc; row vector; sequence everywhere	An ordered list (or sequence, or horizontal vector, or row vector) of values. (The notation (a,b) is often used as well.)	$\langle a,b\rangle$ is an ordered pair (or 2-tuple). $\langle a,b,c\rangle$ is an ordered triple (or 3-tuple). $\langle \rangle$ is the empty tuple (or 0-tuple).
⟨|⟩ (|)	$\langle \ |\ \rangle \!\,$ पार्स नहीं कर पाये (सिन्टैक्स त्रुटि): {\displaystyle (\ |\) \!\,}	inner product inner product of linear algebra	⟨u | v⟩ means the inner product of u and v, where u and v are members of an inner product space. (u | v) means the same. Another variant of the notation is ⟨u, v⟩ which is described above. For spatial vectors, the dot product notation, x·y is common. For matrices, the colon notation A : B may be used. As ⟨ and ⟩ can be hard to type, the more “keyboard friendly” forms < and > are sometimes seen. These are avoided in mathematical texts.
|⟩	$|\ \rangle \!\,$	ket vector the ket …; the vector … Dirac notation	|φ⟩ means the vector with label φ, which is in a Hilbert space.	A qubit's state can be represented as α|0⟩+ β|1⟩, where α and β are complex numbers s.t. |α|2 + |β|2 = 1.
⟨|	$\langle \ |\!\,$	bra vector the bra …; the dual of … Dirac notation	⟨φ| means the dual of the vector |φ⟩, a linear functional which maps a ket |ψ⟩ onto the inner product ⟨φ|ψ⟩.
∑	$\sum \!\,$	summation sum over … from … to … of arithmetic	$\sum _{k=1}^{n}{a_{k}}$ means a1 + a2 + … + an.	$\sum _{k=1}^{4}{k^{2}}$ = 12 + 22 + 32 + 42  = 1 + 4 + 9 + 16 = 30
∏	$\prod \!\,$	product product over … from … to … of arithmetic	$\prod _{k=1}^{n}a_{k}$ means a1a2···an.	$\prod _{k=1}^{4}(k+2)$ = (1+2)(2+2)(3+2)(4+2) = 3 × 4 × 5 × 6 = 360
		Cartesian product the Cartesian product of; the direct product of set theory	$\prod _{i=0}^{n}{Y_{i}}$ means the set of all (n+1)-tuples (y0, …, yn).	$\prod _{n=1}^{3}{\mathbb {R} }=\mathbb {R} \times \mathbb {R} \times \mathbb {R} =\mathbb {R} ^{3}$
∐	$\coprod \!\,$	coproduct coproduct over … from … to … of category theory	A general construction which subsumes the disjoint union of sets and of topological spaces, the free product of groups, and the direct sum of modules and vector spaces. The coproduct of a family of objects is essentially the "least specific" object to which each object in the family admits a morphism.
′ •	$'\!\,$ ${\dot {\,}}\!\,$	derivative … prime derivative of calculus	f ′(x) means the derivative of the function f at the point x, i.e., the slope of the tangent to f at x. The dot notation indicates a time derivative. That is ${\dot {x}}(t)={\frac {\partial }{\partial t}}x(t)$.	If f(x) := x2, then f ′(x) = 2x
∫	$\int \!\,$	indefinite integral or antiderivative indefinite integral of the antiderivative of calculus	∫ f(x) dx means a function whose derivative is f.	∫x2 dx = x3/3 + C
		definite integral integral from … to … of … with respect to calculus	∫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.	∫ab x2 dx = b3/3 − a3/3;
		line integral line/path/curve integral of … along … calculus	∫C f ds means the integral of f along the curve C, $\textstyle \int _{a}^{b}f(\mathbf {r} (t))|\mathbf {r} '(t)|\,dt$, where r is a parametrization of C. (If the curve is closed, the symbol ∮ may be used instead, as described below.)
∮	$\oint \!\,$	contour integral or closed line integral contour integral of calculus	Similar to the integral, but used to denote a single integration over a closed curve or loop. It is sometimes used in physics texts involving equations regarding Gauss's Law, and while these formulas involve a closed surface integral, the representations describe only the first integration of the volume over the enclosing surface. Instances where the latter requires simultaneous double integration, the symbol ∯ would be more appropriate. A third related symbol is the closed volume integral, denoted by the symbol ∰. The contour integral can also frequently be found with a subscript capital letter C, ∮C, denoting that a closed loop integral is, in fact, around a contour C, or sometimes dually appropriately, a circle C. In representations of Gauss's Law, a subscript capital S, ∮S, is used to denote that the integration is over a closed surface.	If C is a Jordan curve about 0, then $\oint _{C}{1 \over z}\,dz=2\pi i$.
∇	$\nabla \!\,$	gradient del, nabla, gradient of vector calculus	∇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)
		divergence del dot, divergence of vector calculus	$\nabla \cdot {\vec {v}}={\partial v_{x} \over \partial x}+{\partial v_{y} \over \partial y}+{\partial v_{z} \over \partial z}$	If ${\vec {v}}:=3xy\mathbf {i} +y^{2}z\mathbf {j} +5\mathbf {k}$, then $\nabla \cdot {\vec {v}}=3y+2yz$.
		curl curl of vector calculus	$\nabla \times {\vec {v}}=\left({\partial v_{z} \over \partial y}-{\partial v_{y} \over \partial z}\right)\mathbf {i}$ $+\left({\partial v_{x} \over \partial z}-{\partial v_{z} \over \partial x}\right)\mathbf {j} +\left({\partial v_{y} \over \partial x}-{\partial v_{x} \over \partial y}\right)\mathbf {k}$	If ${\vec {v}}:=3xy\mathbf {i} +y^{2}z\mathbf {j} +5\mathbf {k}$, then $\nabla \times {\vec {v}}=-y^{2}\mathbf {i} -3x\mathbf {k}$.
∂	$\partial \!\,$	partial derivative partial, d calculus	∂f/∂xi means the partial derivative of f with respect to xi, where f is a function on (x1, …, xn).	If f(x,y) := x2y, then ∂f/∂x = 2xy
		boundary boundary of topology	∂M means the boundary of M	∂{x : ||x|| ≤ 2} = {x : ||x|| = 2}
		degree of a polynomial degree of algebra	∂f means the degree of the polynomial f. (This may also be written deg f.)	∂(x2 − 1) = 2
Δ	$\Delta \!\,$	delta delta; change in calculus	Δx means a (non-infinitesimal) change in x. (If the change becomes infinitesimal, δ and even d are used instead. Not to be confused with the symmetric difference, written ∆, above.)	${\tfrac {\Delta x}{\Delta y}}$ is the gradient of a straight line
δ	$\delta \!\,$	Dirac delta function Dirac delta of hyperfunction	$\delta (x)={\begin{cases}\infty ,&x=0\\0,&x\neq 0\end{cases}}$	δ(x)
		Kronecker delta Kronecker delta of hyperfunction	$\delta _{ij}={\begin{cases}1,&i=j\\0,&i\neq j\end{cases}}$	δij
π	$\pi \!\,$	projection Projection of Relational algebra	$\pi _{a_{1},...,a_{n}}(R)$ restricts $R$ to the $\{a_{1},...,a_{n}\}$ attribute set.	$\pi _{Age,Weight}(Person)$
σ	$\sigma \!\,$	selection Selection of Relational algebra	The selection $\sigma _{a\theta b}(R)$ selects all those tuples in $R$ for which $\theta$ holds between the $a$ and the $b$ attribute. The selection $\sigma _{a\theta v}(R)$ selects all those tuples in $R$ for which $\theta$ holds between the $a$ attribute and the value $v$.	$\sigma _{Age\geq 34}(Person)$ $\sigma _{Age=Weight}(Person)$
<: <·	$<:\!\,$ ${<}{\cdot }\!\,$	cover is covered by order theory	x <• y means that x is covered by y.	{1, 8} <• {1, 3, 8} among the subsets of {1, 2, …, 10} ordered by containment.
		subtype is a subtype of type theory	T1 <: T2 means that T1 is a subtype of T2.	If S <: T and T <: U then S <: U (transitivity).
†	${}^{\dagger }\!\,$	conjugate transpose conjugate transpose; Hermitian adjoint/conjugate/transpose; adjoint matrix operations	A† means the transpose of the complex conjugate of A. This may also be written A*T, AT*, A*, AT or AT.	If A = (aij) then A† = (aji).
T	${}^{\mathsf {T}}\!\,$	transpose transpose matrix operations	AT means A, but with its rows swapped for columns. This may also be written At or Atr.	If A = (aij) then AT = (aji).
⊤	$\top \!\,$	top element the top element lattice theory	⊤ means the largest element of a lattice.	∀x : x ∨ ⊤ = ⊤
		top type the top type; top type theory	⊤ means the top or universal type; every type in the type system of interest is a subtype of top.	∀ types T, T <: ⊤
⊥	$\bot \!\,$	perpendicular is perpendicular to geometry	x ⊥ y means x is perpendicular to y; or more generally x is orthogonal to y.	If l ⊥ m and m ⊥ n in the plane then l || n.
		orthogonal complement orthogonal/perpendicular complement of; perp linear algebra	W⊥ means the orthogonal complement of W (where W is a subspace of the inner product space V), the set of all vectors in V orthogonal to every vector in W.	Within $\mathbb {R} ^{3}$, $(\mathbb {R} ^{2})^{\perp }\cong \mathbb {R}$.
		coprime is coprime to number theory	x ⊥ y means x has no factor in common with y.	34  ⊥  55.
		bottom element the bottom element lattice theory	⊥ means the smallest element of a lattice.	∀x : x ∧ ⊥ = ⊥
		bottom type the bottom type; bot type theory	⊥ means the bottom type (a.k.a. the zero type or empty type); bottom is the subtype of every type in the type system.	∀ types T, ⊥ <: T
		comparability is comparable to order theory	x ⊥ y means that x is comparable to y.	{e, π} ⊥ {1, 2, e, 3, π} under set containment.
⊧	$\vDash \!\,$	entailment entails model theory	A ⊧ B means the sentence A entails the sentence B, that is in every model in which A is true, B is also true.	A ⊧ A ∨ ¬A
⊢	$\vdash \!\,$	inference infers; is derived from propositional logic, predicate logic	x ⊢ y means y is derivable from x.	A → B ⊢ ¬B → ¬A.
⊗	$\otimes \!\,$	tensor product, tensor product of modules tensor product of linear algebra	$V\otimes U$ means the tensor product of V and U. $V\otimes _{R}U$ means the tensor product of modules V and U over the ring R.	{1, 2, 3, 4} ⊗ {1, 1, 2} = {{1, 2, 3, 4}, {1, 2, 3, 4}, {2, 4, 6, 8}}
*	$*\!\,$	convolution convolution, convolved with functional analysis	f * g means the convolution of f and g.	$(f*g)(t)=\int _{-\infty }^{\infty }f(\tau )g(t-\tau )\,d\tau$.
		complex conjugate conjugate complex numbers	z* means the complex conjugate of z. (${\bar {z}}$ can also be used for the conjugate of z, as described below.)	$(3+4i)^{\ast }=3-4i$.
		group of units the group of units of ring theory	R* consists of the set of units of the ring R, along with the operation of multiplication. This may also be written R× as described above, or U(R).	${\begin{aligned}(\mathbb {Z} /5\mathbb {Z} )^{\ast }&=\{[1],[2],[3],[4]\}\\&\cong C_{4}\\\end{aligned}}$
		hyperreal numbers the (set of) hyperreals non-standard analysis	*R means the set of hyperreal numbers. Other sets can be used in place of R.	*N is the hypernatural numbers.
		Hodge dual Hodge dual, Hodge star linear algebra	The Hodge dual of a k-vector within an n-dimensional oriented inner product space is an (n-k)-vector.	If $\{e_{i}\}$ are the standard basis vectors of $\mathbb {R} ^{5}$, $*(e_{1}\wedge e_{2}\wedge e_{3})=e_{4}\wedge e_{5}$
x	${\bar {x}}\!\,$	mean overbar, … bar statistics	${\bar {x}}$ (often read as “x bar”) is the mean (average value of $x_{i}$).	$x=\{1,2,3,4,5\};{\bar {x}}=3$.
		complex conjugate conjugate complex numbers	${\overline {z}}$ means the complex conjugate of z. (z* can also be used for the conjugate of z, as described above.)	${\overline {3+4i}}=3-4i$.
		algebraic closure algebraic closure of field theory	${\overline {F}}$ is the algebraic closure of the field F.	The field of algebraic numbers is sometimes denoted as ${\overline {\mathbb {Q} }}$ because it is the algebraic closure of the rational numbers ${\mathbb {Q} }$.
		topological closure (topological) closure of topology	${\overline {S}}$ is the topological closure of the set S. This may also be denoted as cl(S) or Cl(S).	In the space of the real numbers, ${\overline {\mathbb {Q} }}=\mathbb {R}$ (the rational numbers are dense in the real numbers).

इन्हें भी देखें

• गणितीय संक्षिप्ताक्षरों की सूची
• Mathematical alphanumeric symbols
• Mathematical notation
• Notation in probability and statistics
• भौतिक स्थिरांक (Physical constants)
• Table of logic symbols
• यूनिकोड गणितीय ऑपरेटर

भिन्नताएँ

कभी-कभी एक ही गणितीय संक्रिया के लिये अलग-अलग चिन्ह प्रयोग किये जाते हैं। जब गणित अरबी में लिखा जाता है तो कुछ संकेतों को उल्टा करना पड़ सकता है ताकि दायें से बायें पढ़ने में सुविधा हो।

बाहरी कड़ियाँ

• Jeff Miller: Earliest Uses of Various Mathematical Symbols
• Numericana: Scientific Symbols and Icons
• TCAEP - Institute of Physics
• GIF and PNG Images for Math Symbols
• Mathematical Symbols in Unicode
• Using Greek and special characters from Symbol font in HTML
• Unicode Math Symbols - a quick form for using unicode math symbols.

गणितीय आपरेटरों (mathematical operators) के यूनिकोड चार्ट-

• Index of Unicode symbols
• Range 2100 – 214F: Letterlike Symbols
• Range 2190 – 21FF: Arrows
• Range 2200 – 22FF: Unicode Mathematical Operators

कुछ यूनिकोड के सन्दर्भ

• Short list of commonly used LaTeX symbols and Comprehensive LaTeX Symbol List
• MathML Characters - sorts out Unicode, HTML and MathML/TeX names on one page
• Unicode values and MathML names
• Unicode values and Postscript names from the source code for Ghostscript