Zero element

An additive identity is the identity element in an additive group. It corresponds to the element 0 such that for all x in the group, 0 + x = x + 0 = x. Some examples of additive identity include:

• The zero vector under vector addition: the vector of length 0 and whose components are all 0. Often denoted as ${\displaystyle \mathbf {0} }$ or ${\displaystyle {\vec {0}}}$.[1][2][3]
• The zero function or zero map defined by z(x) = 0, under pointwise addition (f + g)(x) = f(x) + g(x)
• The empty set under set union
• An empty sum or empty coproduct
• An initial object in a category (an empty coproduct, and so an identity under coproducts)

An absorbing element in a multiplicative semigroup or semiring generalises the property 0 ⋅ x = 0. Examples include:

• The empty set, which is an absorbing element under Cartesian product of sets, since { } × S = { }
• The zero function or zero map defined by z(x) = 0 under pointwise multiplication (f ⋅ g)(x) = f(x) ⋅ g(x)

Many absorbing elements are also additive identities, including the empty set and the zero function. Another important example is the distinguished element 0 in a field or ring, which is both the additive identity and the multiplicative absorbing element, and whose principal ideal is the smallest ideal.

A zero object in a category is both an initial and terminal object (and so an identity under both coproducts and products). For example, the trivial structure (containing only the identity) is a zero object in categories where morphisms must map identities to identities. Specific examples include:

• The trivial group, containing only the identity (a zero object in the category of groups)
• The zero module, containing only the identity (a zero object in the category of modules over a ring)

A zero morphism in a category is a generalised absorbing element under function composition: any morphism composed with a zero morphism gives a zero morphism. Specifically, if 0_XY : X → Y is the zero morphism among morphisms from X to Y, and f : A → X and g : Y → B are arbitrary morphisms, then g ∘ 0_XY = 0_XB and 0_XY ∘ f = 0_AY.

If a category has a zero object 0, then there are canonical morphisms X → 0 and 0 → Y, and composing them gives a zero morphism 0_XY : X → Y. In the category of groups, for example, zero morphisms are morphisms which always return group identities, thus generalising the function z(x) = 0.

A least element in a partially ordered set or lattice may sometimes be called a zero element, and written either as 0 or ⊥.

In mathematics, the zero module is the module consisting of only the additive identity for the module's addition function. In the integers, this identity is zero, which gives the name zero module. That the zero module is in fact a module is simple to show; it is closed under addition and multiplication trivially.

In mathematics, the zero ideal in a ring ${\displaystyle R}$ is the ideal ${\displaystyle \{0\}}$ consisting of only the additive identity (or zero element). The fact that this is an ideal follows directly from the definition.

In mathematics, particularly linear algebra, a zero matrix is a matrix with all its entries being zero. It is alternately denoted by the symbol ${\displaystyle O}$.[1] Some examples of zero matrices are

${\displaystyle 0_{1,1}={\begin{bmatrix}0\end{bmatrix}},\ 0_{2,2}={\begin{bmatrix}0&0\\0&0\end{bmatrix}},\ 0_{2,3}={\begin{bmatrix}0&0&0\\0&0&0\end{bmatrix}},\ }$

The set of m × n matrices with entries in a ring K forms a module ${\displaystyle K_{m,n}}$. The zero matrix ${\displaystyle 0_{K_{m,n}}}$ in ${\displaystyle K_{m,n}}$ is the matrix with all entries equal to ${\displaystyle 0_{K}}$, where ${\displaystyle 0_{K}}$ is the additive identity in K.

${\displaystyle 0_{K_{m,n}}={\begin{bmatrix}0_{K}&0_{K}&\cdots &0_{K}\\0_{K}&0_{K}&\cdots &0_{K}\\\vdots &\vdots &&\vdots \\0_{K}&0_{K}&\cdots &0_{K}\end{bmatrix}}}$

The zero matrix is the additive identity in ${\displaystyle K_{m,n}}$. That is, for all ${\displaystyle A\in K_{m,n}}$:

${\displaystyle 0_{K_{m,n}}+A=A+0_{K_{m,n}}=A}$

There is exactly one zero matrix of any given size m × n (with entries from a given ring), so when the context is clear, one often refers to the zero matrix. In general, the zero element of a ring is unique, and typically denoted as 0 without any subscript to indicate the parent ring. Hence the examples above represent zero matrices over any ring.

The zero matrix also represents the linear transformation which sends all vectors to the zero vector.

In mathematics, the zero tensor is a tensor, of any order, all of whose components are zero. The zero tensor of order 1 is sometimes known as the zero vector.

Taking a tensor product of any tensor with any zero tensor results in another zero tensor. Adding the zero tensor is equivalent to the identity operation.

• Null semigroup
• Zero divisor
• Zero object
• Zero of a function
• Zero — non-mathematical uses