Fritz John conditions
Encyclopedia
The Fritz John conditions (abbr. FJ conditions), in mathematics
, are a necessary condition
for a solution in nonlinear programming
to be optimal
. They are used as lemma in the proof of the Karush–Kuhn–Tucker conditions. We consider the following optimization problem
: where ƒ is the function
to be minimized, the inequality constraints
and the equality constraints, and where, respectively, , and are the indices
set of inactive, active and equality constraints and is a optimal solution of , then there exists a non-zero number and a non-zero vector such that: NEWLINE
the and are linearly dependent and , i.e. if the constraint qualifications do not hold. Named after Fritz John
, these conditions are equivalent to the Karush–Kuhn–Tucker conditions in the case .
Mathematics
Mathematics is the study of quantity, space, structure, and change. Mathematicians seek out patterns and formulate new conjectures. Mathematicians resolve the truth or falsity of conjectures by mathematical proofs, which are arguments sufficient to convince other mathematicians of their validity...
, are a necessary condition
Necessary and sufficient conditions
In logic, the words necessity and sufficiency refer to the implicational relationships between statements. The assertion that one statement is a necessary and sufficient condition of another means that the former statement is true if and only if the latter is true.-Definitions:A necessary condition...
for a solution in nonlinear programming
Nonlinear programming
In mathematics, nonlinear programming is the process of solving a system of equalities and inequalities, collectively termed constraints, over a set of unknown real variables, along with an objective function to be maximized or minimized, where some of the constraints or the objective function are...
to be optimal
Optimization (mathematics)
In mathematics, computational science, or management science, mathematical optimization refers to the selection of a best element from some set of available alternatives....
. They are used as lemma in the proof of the Karush–Kuhn–Tucker conditions. We consider the following optimization problem
Optimization problem
In mathematics and computer science, an optimization problem is the problem of finding the best solution from all feasible solutions. Optimization problems can be divided into two categories depending on whether the variables are continuous or discrete. An optimization problem with discrete...
: where ƒ is the function
Function (mathematics)
In mathematics, a function associates one quantity, the argument of the function, also known as the input, with another quantity, the value of the function, also known as the output. A function assigns exactly one output to each input. The argument and the value may be real numbers, but they can...
to be minimized, the inequality constraints
Constraint (mathematics)
In mathematics, a constraint is a condition that a solution to an optimization problem must satisfy. There are two types of constraints: equality constraints and inequality constraints...
and the equality constraints, and where, respectively, , and are the indices
Index (mathematics)
The word index is used in variety of senses in mathematics.- General :* In perhaps the most frequent sense, an index is a number or other symbol that indicates the location of a variable in a list or array of numbers or other mathematical objects. This type of index is usually written as a...
set of inactive, active and equality constraints and is a optimal solution of , then there exists a non-zero number and a non-zero vector such that: NEWLINE
- NEWLINE
IFF
IFF, Iff or iff may refer to:Technology/Science:* Identification friend or foe, an electronic radio-based identification system using transponders...
the and are linearly dependent and , i.e. if the constraint qualifications do not hold. Named after Fritz John
Fritz John
Fritz John was a German-born mathematician specialising in partial differential equations and ill-posed problems. His early work was on the Radon transform and he is remembered for John's equation.-Biography:...
, these conditions are equivalent to the Karush–Kuhn–Tucker conditions in the case .