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In mathematics, the solution set of a system of equations or inequality is the set of all its solutions, that is the values that satisfy all equations and inequalities. [1] Also, the solution set or the truth set of a statement or a predicate is the set of all values that satisfy it. If there is no solution, the solution set is the empty set. [2]
The solution set of a given set of equations or inequalities is the set of all its solutions, a solution being a tuple of values, one for each unknown, that satisfies all the equations or inequalities. If the solution set is empty, then there are no values of the unknowns that satisfy simultaneously all equations and inequalities.
Set-builder notation can be used to describe a set that is defined by a predicate, that is, a logical formula that evaluates to true for an element of the set, and false otherwise. [2] In this form, set-builder notation has three parts: a variable, a colon or vertical bar separator, and a predicate. Thus there is a variable on the left of the ...
In summary, a set of the real numbers is an interval, if and only if it is an open interval, a closed interval, or a half-open interval. [4] [5] A degenerate interval is any set consisting of a single real number (i.e., an interval of the form [a, a]). [6] Some authors include the empty set in this definition.
The main objective of interval arithmetic is to provide a simple way of calculating upper and lower bounds of a function's range in one or more variables. These endpoints are not necessarily the true supremum or infimum of a range since the precise calculation of those values can be difficult or impossible; the bounds only need to contain the function's range as a subset.
Set-builder notation: denotes the set whose elements are listed between the braces, separated by commas. Set-builder notation : if P ( x ) {\displaystyle P(x)} is a predicate depending on a variable x , then both { x : P ( x ) } {\displaystyle \{x:P(x)\}} and { x ∣ P ( x ) } {\displaystyle \{x\mid P(x)\}} denote the set formed by the values ...
In most applications, f is a function from R n to R p and the set Y is a box of R p (i.e. a Cartesian product of p intervals of R). When f is nonlinear the set inversion problem can be solved [1] using interval analysis combined with a branch-and-bound algorithm. [2] The main idea consists in building a paving of R p made with non-overlapping ...
The kernel of this linear map is the set of solutions to the equation Ax = 0, where 0 is understood as the zero vector. The dimension of the kernel of A is called the nullity of A . In set-builder notation , N ( A ) = Null ( A ) = ker ( A ) = { x ∈ K n ∣ A x = 0 } . {\displaystyle \operatorname {N} (A)=\operatorname {Null} (A ...