which means a* = 0 or:
<i(t) =
--------x(t) (eɪnɪ + С2П2) -
n1 + n2
b+ρ-
2x(t)
(x2(t) + 1)2
=0
And so the steady-state Pareto-optimal solution is:
(nɪ + n2) b + ρ - 25)
*
a*
(x2(t)+1)
(19)
2x(t) (eɪnɪ + n2c2)
3.2 Graph and Analysis of the Steady-state Dynamic Pareto-
optimal Solution
This solution can be plotted in the (x,a)-plane together with the phase plot for
the steady-states of the lake when dx/dt = 0, given by equation (3). The inter-
section of the two curves gives society’s optimal phosphorous loading solution.
Using the hysteretic lake value b = 0.6, ρ = 0.03, nɪ = 2, n2 = 2, c1 = 0.2 and
c2 = 2, the graphs intersect at (x*, a*) = (0.3472, 0.1007), as shown in Figure 1
below, thus giving us the Pareto-optimal steady-state equilibrium. Note that
this result is below the point at which the lake flips from an oligotrophic to a
eutrophic state, i.e. for the selected constants, society prefers an oligotrophic
lake.

Figure 1: Pareto-optimal Loading with Two Welfare Functions
10
More intriguing information
1. Non Linear Contracting and Endogenous Buyer Power between Manufacturers and Retailers: Empirical Evidence on Food Retailing in France2. WP 92 - An overview of women's work and employment in Azerbaijan
3. The name is absent
4. Spectral calibration of exponential Lévy Models [1]
5. The Value of Cultural Heritage Sites in Armenia: Evidence From a Travel Cost Method Study
6. Spatial Aggregation and Weather Risk Management
7. Automatic Dream Sentiment Analysis
8. The name is absent
9. AMINO ACIDS SEQUENCE ANALYSIS ON COLLAGEN
10. Infrastructure Investment in Network Industries: The Role of Incentive Regulation and Regulatory Independence