VectorGreaterEqual
xy or VectorGreaterEqual[{x,y}]
yields True for vectors of length n if xi≥yi for all components .
xκy or VectorGreaterEqual[{x,y},κ]
yields True for x and y if x-y∈κ, where κ is a proper convex cone.
Details
- VectorGreaterEqual gives a partial ordering of vectors, matrices and arrays that is compatible with vector space operations, so that and imply for all .
- VectorGreaterEqual is typically used to specify vector inequalities for constrained optimization, inequality solving and integration.
- When x and y are -vectors, xy is equivalent to . That is each part of x is greater or equal than the corresponding part of y for the relation to be true.
- When x and y are dimension arrays, xy is equivalent to . That is each part of x is greater or equal than the corresponding part of y for the relation to be true.
- xy remains unevaluated if x or y has a non-numeric element; typically gives True or False otherwise.
- When x is an n-vector and y is a numeric scalar, xy yields True if xi≥y for all components .
- By using the character , entered as v>= or \[VectorGreaterEqual], with subscripts vector inequalities can be entered as follows:
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VectorGreaterEqual[{x,y}] the standard vector inequality VectorGreaterEqual[{x,y},κ] vector inequality defined by a cone κ - In general, one can use a proper convex cone κ to specify a vector inequality. The set is the same as κ.
- Possible cone specifications κ in for vectors x include:
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{"NonNegativeCone", n} such that {"NormCone", n} such that Norm[{x1,…,xn-1}]≤xn "ExponentialCone" such that "DualExponentialCone" such that or {"PowerCone",α} such that {"DualPowerCone",α} such that - Possible cone specifications κ in for matrices x include:
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"NonNegativeCone" such that {"SemidefiniteCone", n} symmetric positive semidefinite matrices - Possible cone specifications κ in for arrays x include:
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"NonNegativeCone" such that - For exact numeric quantities, VectorGreaterEqual internally uses numerical approximations to establish numerical ordering. This process can be affected by the setting of the global variable $MaxExtraPrecision.
Examples
open allclose allBasic Examples (3)
Scope (7)
Determine if all of the elements in a vector are non-negative:
Determine if all components are less than or equal to 1:
For each component, !xi≥yi does imply xi<yi:
Compare the components of two matrices:
Represent the condition that Norm[{x,y}]<=1:
Applications (1)
VectorGreaterEqual is a fast way to compare many elements:
Properties & Relations (3)
VectorGreaterEqual is compatible with a vector space operation:
Adding vectors to both sides of for any vector :
Multiplying by positive constants for any :
xκy are (non-strict) partial orders, i.e. reflexive, antisymmetric and transitive:
Reflexive, i.e. for all elements :
Antisymmetric, i.e. if and then :
Transitive, i.e. if and then :
xκy are partial orders but not total orders, so there are incomparable elements:
Neither nor is true, because and are incomparable elements:
The set of vectors and . These are the only comparable elements to :
Text
Wolfram Research (2019), VectorGreaterEqual, Wolfram Language function, https://reference.wolfram.com/language/ref/VectorGreaterEqual.html.
CMS
Wolfram Language. 2019. "VectorGreaterEqual." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/ref/VectorGreaterEqual.html.
APA
Wolfram Language. (2019). VectorGreaterEqual. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/VectorGreaterEqual.html