The number 0 is an important concept in mathematics.
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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 is the ideal consisting of only the additive identity (or zero element). It is immediate to show that this is an ideal.
In mathematics, particularly linear algebra, a zero matrix is a matrix with all its entries being zero. Some examples of zero matrices are
The set of m×n matrices with entries in a ring K forms a module . The zero matrix in is the matrix with all entries equal to , where is the additive identity in K.
The zero matrix is the additive identity in . That is, for all it satisfies
There is exactly one zero matrix of any given size m×n having entries in 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 indicating the parent ring. Hence the examples above represent zero matrices over any ring.
The zero matrix represents the linear transformation sending all vectors to the zero vector.
In mathematics, the zero tensor is any tensor, of any rank, all of whose entries are zero. The zero tensor of rank 1 is sometimes known as the null 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.
A zero divisor in a ring R is an element a ∈ R such that ab = 0 for some non-zero b ∈ R.
In abstract algebra, an additive monoid is said to be zerosumfree if nonzero elements do not sum to zero. Formally:
This means that the only way zero can be expressed as a sum is as .
In mathematics, the zero set of a real-valued function f is the inverse image .
A zero order process is one in which past behavior does not affect the future outcome. For example, in marketing, the zero order hypothesis holds that the brands you will purchase next will not depend on the brands you have purchased before. That means you have a fixed probability of purchase. Contrast it to the first order process when the outcome at time t-1 changes the outcome at time t.