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Table 3 Comparison of maximal relative error under differing lumping inverses for the reduction of the E coli model via lumping in isolation

From: A combined model reduction algorithm for controlled biochemical systems

Dimensions

Moore-Penrose

Steady-state

Average

6

6.67%

0.15%

0.18%

5

10.58%

0.55%

0.51%

4

13.99%

0.54%

1.26%

3

26.93%

4.78%

4.77%

2

78.36%

13.45%

12.88%

1

70.92%

75.56%

82.34%

  1. Each row represents a further level of dimensional reduction for the model, whilst the columns represent the different methods of lumping inverse. The ‘Moore-Penrose’ column contains values where the lumping inverse \(\bar {L}\) is the Moore-Penrose or pseudoinverse of the lumping matrix L. The ‘steady-state’ column contains values where the lumping inverse \(\bar {L}\) is selected to reconstruct the unperturbed steady-state values of the original system such that \(\boldsymbol {x}^{\ast }_{\boldsymbol {u}_{0}}=\bar {L}\tilde {\boldsymbol {x}}^{\ast }_{\boldsymbol {u}_{0}}\). The errors stated represent the maximal relative error between the original and reduced systems when simulated to steady-state under the introduction of 10μ M concentration of attractant ligand at t=0