Difference between revisions of "Optimal guarantee strategy"
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| − | If the | + | A strategy whose efficiency in a given situation is equal to the best guaranteed result (see [[Principle of the largest sure result|Principle of the largest sure result]]). If, for example, in a situation with efficiency criterion $ f( x, y) $ |
| + | the undefined factor $ y $ | ||
| + | takes values from a set $ Y $, | ||
| + | then the optimal guarantee strategy $ {\widetilde{x} } {} ^ {*} $ | ||
| + | satisfies the equality | ||
| − | + | $$ | |
| + | \sup _ {\widetilde{x} } \inf _ {y \in Y } f | ||
| + | ( \widetilde{x} {} ^ {*} , y ) = \ | ||
| + | \inf _ {y \in Y } f ( \widetilde{x} {} ^ {*} , y ). | ||
| + | $$ | ||
| − | + | If the last upper bound over $ \widetilde{x} $ | |
| + | is not attained, then the concept of an $ \epsilon $- | ||
| + | optimal guarantee strategy $ {\widetilde{x} } {} _ \epsilon ^ {*} $ | ||
| + | arises, for which | ||
| − | + | $$ | |
| + | \inf _ {y \in Y } f( \widetilde{x} {} _ \epsilon ^ {*} , y ) \geq \ | ||
| + | \sup _ {x | ||
| + | tilde } \inf _ {y \in Y } f ( \widetilde{x} , y ) - \epsilon , | ||
| + | $$ | ||
| + | |||
| + | where $ \epsilon > 0 $. | ||
| + | Dependent on the set of strategies $ \widetilde{x} = x( y) $ | ||
| + | and the information on the undefined factor (the conditions under which the operation is carried out), the optimal guarantee strategy is concretely defined (see [[#References|[1]]]). So, if the set of strategies $ \widetilde{x} $ | ||
| + | comprises all functions $ x( y) $ | ||
| + | and the operation contains complete information on $ y $, | ||
| + | then the optimal guarantee strategy $ x ^ {*} ( y) $ | ||
| + | is called the absolutely optimal strategy and is defined by the condition | ||
| + | |||
| + | $$ | ||
| + | \sup _ { x } f( x, y) = \ | ||
| + | f( x ^ {*} ( y), y) \textrm{ for } \textrm{ all } y \in Y. | ||
| + | $$ | ||
Optimal strategies corresponding to other principles of optimality are also studied (see, for example, [[#References|[2]]] and [[#References|[4]]]). | Optimal strategies corresponding to other principles of optimality are also studied (see, for example, [[#References|[2]]] and [[#References|[4]]]). | ||
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====References==== | ====References==== | ||
<table><TR><TD valign="top">[1]</TD> <TD valign="top"> Yu.B. Germeier, "Introduction to the theory of operations research" , Moscow (1971) (In Russian)</TD></TR><TR><TD valign="top">[2]</TD> <TD valign="top"> Yu.B. Germeier, "Non-antagonistic games" , Reidel (1986) (Translated from Russian)</TD></TR><TR><TD valign="top">[3]</TD> <TD valign="top"> J.-P. Aubin, "L'analyse non-linéaire et ses motivations économiques" , Masson (1984)</TD></TR><TR><TD valign="top">[4]</TD> <TD valign="top"> N.N. Borob'ev, "Game theory. Lectures for economists and cyberneticists" , Leningrad (1974) (In Russian)</TD></TR></table> | <table><TR><TD valign="top">[1]</TD> <TD valign="top"> Yu.B. Germeier, "Introduction to the theory of operations research" , Moscow (1971) (In Russian)</TD></TR><TR><TD valign="top">[2]</TD> <TD valign="top"> Yu.B. Germeier, "Non-antagonistic games" , Reidel (1986) (Translated from Russian)</TD></TR><TR><TD valign="top">[3]</TD> <TD valign="top"> J.-P. Aubin, "L'analyse non-linéaire et ses motivations économiques" , Masson (1984)</TD></TR><TR><TD valign="top">[4]</TD> <TD valign="top"> N.N. Borob'ev, "Game theory. Lectures for economists and cyberneticists" , Leningrad (1974) (In Russian)</TD></TR></table> | ||
| − | |||
| − | |||
====Comments==== | ====Comments==== | ||
| − | The phrase "worst case strategyworst case strategy" is also used for "optimal guarantee strategy" . It provides a security level for the outcome of the efficiency criterion. Worst case designs naturally show up in two-person zero-sum games in which uncertainties of unknowns (the | + | The phrase "worst case strategyworst case strategy" is also used for "optimal guarantee strategy" . It provides a security level for the outcome of the efficiency criterion. Worst case designs naturally show up in two-person zero-sum games in which uncertainties of unknowns (the $ y $- |
| + | variable) are replaced by the worst possible. This idea is age old and universal in engineering and military analysis. | ||
====References==== | ====References==== | ||
<table><TR><TD valign="top">[a1]</TD> <TD valign="top"> Y.C. Ho, G.J. Olsder, "Differential games: concepts and applications" M. Shubik (ed.) , ''Mathematics of Conflict'' , Elsevier & North-Holland (1983) pp. 127–186</TD></TR></table> | <table><TR><TD valign="top">[a1]</TD> <TD valign="top"> Y.C. Ho, G.J. Olsder, "Differential games: concepts and applications" M. Shubik (ed.) , ''Mathematics of Conflict'' , Elsevier & North-Holland (1983) pp. 127–186</TD></TR></table> | ||
Latest revision as of 08:04, 6 June 2020
A strategy whose efficiency in a given situation is equal to the best guaranteed result (see Principle of the largest sure result). If, for example, in a situation with efficiency criterion $ f( x, y) $
the undefined factor $ y $
takes values from a set $ Y $,
then the optimal guarantee strategy $ {\widetilde{x} } {} ^ {*} $
satisfies the equality
$$ \sup _ {\widetilde{x} } \inf _ {y \in Y } f ( \widetilde{x} {} ^ {*} , y ) = \ \inf _ {y \in Y } f ( \widetilde{x} {} ^ {*} , y ). $$
If the last upper bound over $ \widetilde{x} $ is not attained, then the concept of an $ \epsilon $- optimal guarantee strategy $ {\widetilde{x} } {} _ \epsilon ^ {*} $ arises, for which
$$ \inf _ {y \in Y } f( \widetilde{x} {} _ \epsilon ^ {*} , y ) \geq \ \sup _ {x tilde } \inf _ {y \in Y } f ( \widetilde{x} , y ) - \epsilon , $$
where $ \epsilon > 0 $. Dependent on the set of strategies $ \widetilde{x} = x( y) $ and the information on the undefined factor (the conditions under which the operation is carried out), the optimal guarantee strategy is concretely defined (see [1]). So, if the set of strategies $ \widetilde{x} $ comprises all functions $ x( y) $ and the operation contains complete information on $ y $, then the optimal guarantee strategy $ x ^ {*} ( y) $ is called the absolutely optimal strategy and is defined by the condition
$$ \sup _ { x } f( x, y) = \ f( x ^ {*} ( y), y) \textrm{ for } \textrm{ all } y \in Y. $$
Optimal strategies corresponding to other principles of optimality are also studied (see, for example, [2] and [4]).
References
| [1] | Yu.B. Germeier, "Introduction to the theory of operations research" , Moscow (1971) (In Russian) |
| [2] | Yu.B. Germeier, "Non-antagonistic games" , Reidel (1986) (Translated from Russian) |
| [3] | J.-P. Aubin, "L'analyse non-linéaire et ses motivations économiques" , Masson (1984) |
| [4] | N.N. Borob'ev, "Game theory. Lectures for economists and cyberneticists" , Leningrad (1974) (In Russian) |
Comments
The phrase "worst case strategyworst case strategy" is also used for "optimal guarantee strategy" . It provides a security level for the outcome of the efficiency criterion. Worst case designs naturally show up in two-person zero-sum games in which uncertainties of unknowns (the $ y $- variable) are replaced by the worst possible. This idea is age old and universal in engineering and military analysis.
References
| [a1] | Y.C. Ho, G.J. Olsder, "Differential games: concepts and applications" M. Shubik (ed.) , Mathematics of Conflict , Elsevier & North-Holland (1983) pp. 127–186 |
Optimal guarantee strategy. Encyclopedia of Mathematics. URL: http://encyclopediaofmath.org/index.php?title=Optimal_guarantee_strategy&oldid=48053