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Stability and Robustness: Reliability in the World of Uncertainty

Stability and Robustness: Reliability in the World of Uncertainty

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Relative errorProblemFormulation<strong>Stability</strong> <strong>and</strong>AccuracyFunctionsNamely, <strong>in</strong> case <strong>of</strong> J-equilibrium we <strong>in</strong>troduce forx ∗ ∈ JE(C 0 , X) <strong>and</strong> a given matrix C ∈ R m×m+ <strong>the</strong> relativeerror <strong>of</strong> this solution:ε(C, J, x ∗ ) := maxr∈N smax m<strong>in</strong>x∈W J r (x∗ )p i (C, x ∗ ) − p i (C, x).i∈J r p i (C, x)Observe that for an arbitrary C ∈ R m×m+ we haveε(C, J, x ∗ ) ≥ 0. If ε(C, J, x ∗ ) > 0, <strong>the</strong>n x ∗ ∉ JE(C, X) <strong>and</strong> thispositive value <strong>of</strong> <strong>the</strong> relative error may be treated as a measure<strong>of</strong> <strong>in</strong>efficiency <strong>of</strong> <strong>the</strong> strategy pr<strong>of</strong>ile x ∗ for <strong>the</strong> game with matrixC.The equality ε(C, J, x ∗ ) = 0 formulates <strong>in</strong> general onlynecessary condition for x ∗ to be J-equilibrium, i.e.ε(C, J, x ∗ ) = 0 does not guarantee that x ∗ ∈ JE m (C, X).Sensitivity Analysis <strong>in</strong> Game Theory Yury Nikul<strong>in</strong> - p. 10/29

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