VectorGreater 
xy or VectorGreater[{x,y}]
yields True for vectors of length n if xi>yi for all components .
xκy or VectorGreater[{x,y},κ]
yields True for x and y if , where κ is a proper convex cone.
Details
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- VectorGreater gives a partial ordering of vectors, matrices and arrays that is compatible with vector space operations, so that
and
imply
for all
.
- VectorGreater 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 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 than the corresponding part of y for the relation to be true.
- xy remains unevaluated if x or y has non-numeric elements; 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 \[VectorGreater], with subscripts vector inequalities can be entered as follows:
-
VectorGreater[{x,y}] the standard vector inequality VectorGreater[{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:
-
{"NonNegativeCone", n} such that
{"NormCone", n} such that Norm[{x1,…,xn-1}]<xn
"ExponentialCone" such that
"DualExponentialCone" such that
{"PowerCone",α} such that
{"DualPowerCone",α} such that
- Possible cone specifications κ in
for matrices x include:
-
"NonNegativeCone" such that
{"SemidefiniteCone", n} symmetric positive definite matrices - Possible cone specifications κ in
for arrays x include:
-
"NonNegativeCone" such that
- For exact numeric quantities, VectorGreater 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:
Represent the condition that :
Show the boundary of where for non-negative x,y with α between 0 and 1:
Applications (1)
VectorGreater is a fast way to compare many elements:
Properties & Relations (3)
VectorGreater is compatible with a vector space operation:
Adding vectors to both sides of for any vector
:
Multiplying by positive constants for any
:
xκy are (strict) partial orders, i.e. irreflexive, asymmetric and transitive:
Irreflexive, i.e. for all elements
so no element is related to itself:
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), VectorGreater, Wolfram Language function, https://reference.wolfram.com/language/ref/VectorGreater.html.
CMS
Wolfram Language. 2019. "VectorGreater." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/ref/VectorGreater.html.
APA
Wolfram Language. (2019). VectorGreater. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/VectorGreater.html