Chapter 5 MODELLING THE EFFECT OF INDUSTRIALIZATION AND TOXICANT ON A RESOURCE- DEPENDENT COMPETING SPECIES INTRODUCTION Environmental pollution by various industries and other human activities is one of the most important socio-ecological problems. The presence of variety of toxicants in the environment is a threat to the survival of exposed populations, including mankind. Uncontrolled contribution of toxicant to the environment has led many species to extinction and several others to be on the verge of extinction. It is well known fact that resource plays a significant role in the development of any country. But it is being depleted by increased industrialization, over growth of population (particularly in the third world countries) and associated pollution ( Shukla et al.[1989]; Dubey and Dass, [1999] ). We know that species do not exist alone in nature. They interact with other species in their surroundings for their survival. Competition between species may be one kind of interaction (Albrecht et al.,[1974] ) and occurs naturally between living organisms which co-exist in the same environment when limited amount of resources are available, and several species depend on these resources. Thus, each of the species competes with the others to gain access to the resources. As a result, species less suited to compete for the resources must either adapt or die out. For example, animal compete over water supplies, food, and mates, etc. Humans compete for water, food, 96 and mates as well, though when these needs are met deep rivalries often arise over the pursuit of wealth, prestige, and fame. In view of above considerations, in this chapter, a nonlinear mathematical model is proposed and analyzed for the survival of resource dependent competing species (such as human beings competing for fuel, fodder for cattle required for milk production, medicine, food, etc.) where both the competing species and its resource are affected by the constant emission of toxicant into the environment as well as by population pressure augmented industrialization. This situation is modeled by the system of five ordinary differential equations. Stability theory of nonlinear differential equations and fourth order Runge-Kutta method are used to analyze and predict the behavior of the model. 5.1 THE MATHEMATICAL MODEL The following system of differential equations is considered to study the effect of toxicants emitted into the environment from various external sources as well as due to industrialization on resource-dependent competing species present in the ecological system. r B2 dB r I B 0 1 BN 1 2 BN 2 , dt K I , T 2 r N dN 1 r1 B N1 10 1 N1 N 2 1 N1T , dt K1 2 r N dN 2 r2 B N 2 20 2 N 1 N 2 1 N 2T , dt K2 r I2 dI r3 N1 , N 2 I 30 1 b BI , dt K3 dT QI 0T 0 BT 1 N 1T 2 N 2T . dt 97 (5.1.1) B0 0, N1 0 0, N 2 0 0, I 0 0, T 0 0. In model (5.1.1), B (t ) is the density of resource biomass, N1 (t ) and N 2 (t ) are the densities of first and second competing species, respectively, I (t ) is the density of industrialization pressure, and T (t ) is the concentration of toxicants present in the environment under consideration. Model (5.1.1) is derived under following assumptions: (H1): The function r (I ) denotes the specific growth rate of resource biomass which decreases as I increases. Hence we take r 0 r0 0, r ( I ) 0 for I 0. (H2): Resource biomass grows logistically and its carrying capacity K I , T decreases with the increase in densities of industrialization and toxicants present in the environment. Hence we take K 0,0 K 0 0, K I , T K I , T 0, 0 I T for I 0, T 0. (H3): 1 , 2 0 are the depletion rates coefficients of the resource biomass due to the first and second competing species respectively. (H4): The densities of both competing species are assumed to be governed by logistic equations with carrying capacities K1 0 and K 2 0, and their growth rates coefficients r1 ( B) and r2 ( B) respectively, which increases as the resource biomass density increases. Hence we take r1 0 r10 0, r1 B 0 r2 0 r20 0, r2 B 0 for B 0. (H5): , 0 are the competitive rate coefficients, 1 , 1 0 are the depletion rates coefficients of first and second competing species due to uptake of toxicant from environment. 98 (H6): The density of industrialization is also assumed to be governed by logistic equations with carrying capacities K 3 0, and growth rate coefficient r3 N1 , N 2 which increases as the density of competing species increases. Hence, we take r3 0,0 r30 0, The constant r3 N1 , N 2 r N , N 0, 3 1 2 0 for N1 0, N 2 0. N 2 N1 1 b 0 is the part of resource biomass which is used for industrialization. (H7): The function QI is the rate of introduction of toxicant into the environment which increases as I increase. Hence we take Q0 Q0 0, QI 0 for I 0. (H8): 0 0 is the natural depletion rate of toxicant from the environment and the positive constants 0 , 1 and 2 are the rates of depletion of toxicant in the environment due to uptake of toxicant by resource biomass and competing species, respectively. It is noted that even when Q 0, model (5.1.1) remains meaningful as in this case, the toxicant is emitted not only by external sources but also by population pressure augmented industrialization. To analyze the model (5.1.1), we need the bounds of dependent variable involved. For this we find the region of attraction in the following lemma. 5.2 BOUNDEDNESS OF SOLUTIONS Lemma (5.1.1): Suppose that assumptions (H1) - (H8) hold. Then all solutions of system (5.1.1) are bounded within the region , B, N1 , N 2 , I , T : 0 B K 0 , 0 N1 N1m , 0 N 2 N 2m , 0 I I m , 0 T Tm 99 where N 1m Tm Q I m 0 K K1 K r1 K 0 , N 2 m 2 r2 K 0 , I m 3 r3 N 1m , N 2 m 1 b K 0 , r10 r20 r30 . Proof: Proof is analogous to the proof of lemma (3.1.1) of chapter 3. 5.3 EQUILIBRIUM ANALYSIS The system (5.1.1) may have sixteen nonnegative equilibria in the B, N1 , N 2 , I , T Q Q( K 3 ) , E2 B ,0,0,0, T , E3 0, N1 ,0,0, T , space namely E0 0,0,0,0, 0 , E1 0,0,0, K 3 , 0 0 ˆ ˆ ˆ E5 Bˆ , Nˆ 1 ,0,0, Tˆ , E4 0,0, Nˆ 2 ,0, Tˆ , 0, N ,0,I,T, ~ ~ ~ E6 B,0, N 2 ,0, T , E8 B, N1 , N 2 ,0, T , E9 B, N1 ,0, I , T , E10 B,0, N 2 , I , T , , E12 B,0,0, I, T E13 1 ~ ~ ~ ~ ~ ~ E7 0, N1 , N 2 ,0, T , E11 0, N1 , N 2 , I , T , E14 0,0, N 2 , I , T , E * B* , N1* , N 2* , I * , T * . The existence of E0 and E1 is obvious. We prove the existence of other equilibrium points. Existence of E 2 B ,0,0,0, T : In this case, B and T are the positive solutions of the following equations. B K 0, T 0, T (5.3.1) Q0 . 0 0B (5.3.2) Equating the value of T , in equation (5.3.1) and then we define a function J (B ), as follows 100 Q0 . J ( B ) B K 0, 0 0B (5.3.3) From (5.3.3), we note that Q J (0) K 0, 0 0 J (K0 ) 0. q2Q0 0. 0 0 K0 Thus there exist a root B , in the interval 0 B K 0 , such that J ( B ) 0. Now, the sufficient condition for E 2 , to be unique is J ( B ) 0, where J ( B ) 0 B q2Q0 0 2 0 0B 2 0 0. Knowing the value of B , we obtained value of T 0 from equation (5.3.2). This completes the existence of E2 . Existence of E3 0, N1 ,0,0, T : In this case N1 and T are the solutions of the following equations: r10 T r10 N1 1T 0. K1 Q0 0 1 N1 (5.3.4) (5.3.5) . Equating the value of T , in equation (5.3.4) and then we define a function F ( N1 ), as follows F ( N 1 ) r10 r10 N 1 Q0 1 . K1 0 1 N1 (5.3.6) From (5.3.6), we note that 101 F (0) r10 0 Q0 0. 0 Q0 r10 0. F ( N1m ) r11 K 0 1 0 r10 1 K1r1 ( K 0 ) Thus there exist a root N 1 , in the interval 0 N1 N1m , such that F ( N1 ) 0. Now, the sufficient condition for E 3 , to be unique is F ( N1 ) 0. where r Q0 1 F ( N1 ) 10 1 K1 ( 0 1 N1 ) 2 0. With this value of N 1 , value of T can be found from equation (5.3.5). This completes the existence of E3 . Existence of E 4 0,0, Nˆ 2 ,0, Tˆ : Analogous to the existence of E 3 , we can show the existence of E 4 0,0, Nˆ 2 ,0, Tˆ ˆ ˆ ˆ Existence of E5 Bˆ , Nˆ 1 ,0,0, Tˆ : ˆˆ ˆˆ ˆˆ In this case B, N1 , T are the solutions of the following equations ˆ ˆ r0 K 1 r10 r11 K 0, Tˆ 1Tˆ ˆ f Tˆˆ , say, Nˆ 1 1 ˆˆ r0 r10 1 r11 K 1 K 0, T ˆ r0 1 f1 Tˆ ˆ K 0, Tˆˆ f Tˆˆ , say, Bˆ 2 r0 (5.2.7) (5.2.8) ˆ ˆˆ ˆ ˆ Q0 0Tˆ 0 Bˆ Tˆ 1 Nˆ 1Tˆ 0. (5.2.9) ˆ ˆ ˆ It is noted from equations (5.2.7) and (5.2.8) that Nˆ 1 and Bˆ are functions of Tˆ only. ˆ To show the existence of E 5 , we define a function F1 (Tˆ ) as follows 102 ˆ ˆ ˆ ˆ ˆ ˆ F1 (Tˆ ) Q0 0Tˆ 0Tˆf 2 (Tˆ ) 1Tˆf1 (Tˆ ). (5.2.10) From equation (5.2.10), we note that F1 0 Q0 0. Q F1 0 0 Q 0 0 Q 1 f1 0 0 Q 0 f 2 0 0 0, Q Q r0 K 1 r10 r11 K 0, 0 1 0 0 Q 0 where f1 0 Q 0 r0 r10 1 r11 K 1 K 0, 0 0 and Q r0 1 f1 0 Q 0 K 0, Q0 . f 2 0 r0 0 0 ˆ ˆ ˆ Thus there exists a root Tˆ in the interval 0 Tˆ Tm , given by F1 (Tˆ ) 0, ˆ Now, the sufficient condition for E 5 to be unique is F1(Tˆ ) 0, where ˆ ˆ ˆ ˆ ˆ ˆ ˆ F1(Tˆ ) 0 0 f 2 (Tˆ ) 1 f1 (Tˆ ) 0Tˆf 2 (Tˆ ) 1Tˆf1 (Tˆ ) 0. (5.2.11) r r K (r q ( K r ) r01 ) r0 r11 K 0 K12 11 ˆ . where f1(Tˆ ) 0 10 1 11 2 1 1 0 2 ˆ r0 r10 1r11 K1 K 0, Tˆ ˆ ˆ ˆ ˆ q K (r r K (0, Tˆ ) 1Tˆ ) 1 K (0, Tˆ ) f1(Tˆ ) ˆ f 2(Tˆ ) q 2 1 2 1 10 11 . ˆˆ r 0 r0 r10 1 r11 K 1 K (0, T ) ˆ ˆ ˆ With this value of Tˆ , value of Nˆ 1 and Bˆ can be found from equations (5.2.7) and (5.2.8). This completes the existence of E5 . ~ ~ ~ Existence of E6 B,0, N 2 ,0, T : ~ ~ ~ Analogous to the existence of E 5 , we can show the existence of E6 B,0, N 2 ,0, T . 103 ~ ~ ~ ~ ~ ~ Existence of E7 (0, N1 , N 2 ,0, T ); ~ ~ ~ ~ ~ ~ In this case, N1 , N 2 , T are the solutions of the following equations ~ ~ ~ r r r T~ K 2 1K 2T 10 20 20 1 ~ ~ ~ ~ f 3 (T ), say, N1 K1 r10 r20 k1 k 2 (5.2.12) ~ ~ r f (T~ ) T~ ~ ~ ~ 20 3 1 K f (T~ N2 ), say, 2 4 r20 (5.2.13) ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ Q0 0T 1 N1T 2 N 2T 0. (5.2.14) ~ ~ ~ ~ It is noted from equation (5.2.12) and (5.2.13) that N 1 and N 2 are functions of ~ ~ ~ ~ T only. To show the existence of E 7 , we define a function F2 (T ) as follows ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ F2 (T ) Q0 0T 1T f 3 (T ) 2T f 4 (T ). (5.2.15) From equation (5.2.15), we note that F2 0 Q0 0. Q F2 0 0 Q 0 0 Q 1 f3 0 0 Q 2 f 4 0 0 0, Q K r r r Q K 2 0 1K 2 Q0 . where f 3 0 1 10 20 0 20 1 0 r10 r20 k1k 2 0 0 Q r f 3Q0 1Q0 K 2 . f 4 0 20 0 r20 0 0 ~ ~ ~ ~ ~ ~ Thus, there exists a root T in the interval 0 T Tm given by F2 (T ) 0. ~ ~ Now, the sufficient condition for E7 to be unique is F2 ( T ) 0, where ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ F2(T ) 0 1 f 3 (T ) 2 f 4 (T ) 1T f 3 (T ) 2T f 4 (T ) 0. 104 (5.2.16) ~ K (1 K 2 r20 1 ) ~ , where f 3(T ) 1 r10 r20 K1 K 2 ~ ~ ~ K 2 ( 1 f 3(T ) ~ f 4(T ) . r20 ~ ~ ~ ~ ~ ~ With this value of T , value of N 1 and N 2 can be found from equations (5.2.12) and (5.2.13). This completes the existence of E7 . Existence of E8 B, N1 , N 2 ,0, T : In this case, B, N1 , N 2 , T are the solutions of the following equations r0 B r0 1 N1 2 N 2 0, K 0, T (5.2.17) r10 N1 r1 ( B) N 2 1T 0, K1 (5.2.18) r20 N 2 r2 ( B) N1 1T 0, K2 (5.2.19) Q0 0T 0 BT 1 N1T 2 N 2T 0. (5.2.20) From the equation (5.2.18) and (5.2.19), we have r20 r1 ( B) 1 r20T K 2 r2 ( B) 1 K 2T N1 K1 g1 ( B, T ), r10 r20 K1 K 2 say, (5.2.21) r10 r2 ( B) K1r1 ( B) 1 r10T 1 K1T N2 K2 g 2 ( B, T ), r10 r20 K1 K 2 say, (5.2.22) Using values of N1 and N 2 from (5.2.21) and (5.2.22) in equations (5.2.17) and (5.2.20) respectively, we get G1 ( B, T ) r0 K (0, T ) r0 B 1 K (0, T ) g1 ( B, T ) 2 K (0, T ) g 2 ( B, T ) 0, (5.2.23) G2 ( B, T ) Q0 0T 0 BT 1Tg1 ( B, T ) 2Tg 2 ( B, T ) 0. (5.2.24) From (5.2.23), we note the following when T 0, then B Ba , where 105 S11 Ba S12 0, where S11 r0 (r10 r20 K1 K 2 ) 0 K 0 K1 (r20 r11 K 2 r21 ) 2 K 0 K 2 (r10 r21 K1r11 ), S12 r0 K 0 (r10 r20 K1 K 2 ) 1 K 0 K1r20 (r10 K 2 ) 2 K 0 K 2 r10 (r20 K1 ). Let S ( Ba ) S11 Ba S12 . S (0) S12 0, S ( K 0 ) S11 K 0 S12 0. Thus there exists a root Ba in the interval 0 Ba K 0 given by S ( Ba ) 0. Now, the sufficient condition for E8 to be unique is S ( Ba ) 0, where S ( Ba ) S11 0. G1 1 K (0, T ) K1 2 K (0, T ) K 2 (r11r20 r21 K 2 ) r0 r10 r20 K1 K 2 r10 r20 K1 K 2 B (r10 r21 K1r11 ), (5.2.25) G1 1 K (0, T ) K1 (1 K 2 1 r20 ), q 2 r0 1 q 2 g1 ( B, T ) r10 r20 K1 K 2 T (5.2.26) Now, from (5.2.25) and (5.2.26) we get G1 B T G1 T B B It is clear that 0, if either T (i) G1 G1 0 and 0, or B T (ii) G1 G1 0 and 0, B T (5.2.27) 106 From (5.2.27), we note the following when B 0, then T Tb , where 2 H11Tb H12Tb H13 0, where H11 1 K1 (1r20 1 K 2 ) 2 K 2 (r10 1 1 K1 ), H12 [ 0 (r10 r20 K1 K 2 ) 1 K1r20 (r10 K 2 ) 2 K 2 r10 (r20 K1 )]. H 13 Q0 (r10 r20 K1 K 2 ). Let H (Tb ) H 11Tb2 H 12Tb H 13 , H (0) H 13 0, Q H 0 0 Q H 11 0 0 2 Q H 12 0 H 13 0. 0 Q Thus there exists a root Tb in the interval 0 Tb 0 given by H (Tb ) 0. 0 Now, the sufficient condition for E8 to be unique is H (Tb ) 0, where H (Tb ) 2 H 11Tb H 12 0. 0T K 2 G2 1T K1 (r11r20 r21 K 2 ) 0T r10 r20 K1 K 2 r10 r20 K1 K 2 B (r10 r21 K1r11 ), (5.2.28) G2 1T K1 (1 K 2 1 r20 ) 2 g 2 ( B, T ) 0 0 B 1 g1 ( B, T ) r10 r20 K1 K 2 T 2T K 2 ( 1 K1 1 r10 ), r10 r20 K1 K 2 Now, from (5.2.28) and (5.2.29) we get 107 (5.2.29) G2 B T G2 T B G G2 B It is clear that 0, since 2 0 and 0. T B T (5.2.30) under the conditions r10 K 2 , r20 K1 , 1 K1 1r10 , and 1 K 2 1r20 . Thus the two isoclines (5.2.23) and (5.2.24) intersects at a unique ( B, T ) if in addition to conditions (5.2.27) and (5.2.30), the inequality Ba Tb holds. Knowing the value of B and T , we get N1 and N 2 can be calculated from equations (5.2.21) and (5.2.22). This completes the existence of E8 . Existence of E9 B9 , N 1 ,0, I , T : In this case, B, N1 , I , T are the solutions of the following equations r(I ) r0 B 1 N1 0, K (I ,T ) (5.2.31) r N r1 ( B) 10 1 1T 0, K1 (5.2.32) r I r3 ( N1 ,0) 3 0 1 b B 0, K3 (5.2.33) Q( I ) 0T 0 BT 1 N 1T 0. (5.2.34) From equations (5.2.33) and (5.2.34) respectively, we get K I 3 (r30 r31 N1 (1 b) B), say r30 (5.2.35) Q( f 5 ( B, N1 )) T f 6 ( B, N ), say. 0 0 B 1 N1 (5.2.36) 108 Equating the values of I and T , from equations (5.2.35) and (5.2.36) in equation (5.2.31) and (5.2.32) respectively, we get V1 ( B, N ) K ( f 5 ( B, N 1 ), f 6 ( B, N 1 ))( r ( f 5 ( B, N 1 ) 1 N 1 ) r0 B 0, (5.2.37) r N V2 ( B, N1 ) r1 ( B) 10 1 1 f 6 ( B, N1 ) 0, K1 (5.2.38) From (5.2.37), we note the following when N 0, then B Bb , where 2 v11 Bb v12 Bb v13 0, where v11 a1 K 32 (1 b) 2 (q1 q 2 r30Q1 ) , r302 v12 K 3 (1 b)(q1 q2 Q1 )(a1 K 3 (1 r30 ) r0 ) a1 (q2 Q0 K 0 ) , r30 v13 (r0 a1 K 3 )( K 0 (q1 q2 Q1 ) K1 q2 Q0 ). Let V ( Bb ) v11 Bb2 v12 Bb v13 , V (0) v13 0, V ( K 0 ) v11 K 02 v12 K 0 v13 0. Thus there exists a root Bb in the interval 0 Bb K 0 given by V ( Bb ) 0. Now, the sufficient condition for E 9 to be unique is V ( Bb ) 0, where V ( Bb ) 2v11 Bb v12 0. V1 K ( f 5 ( B, N1 ), f 6 ( B, N1 ))( a1 f 5( B, N1 )) (r ( f 5 ( B, N1 ) 1 N1 ) B (q1 f 5( B, N1 ) q 2 f 6( B, N1 )) r0 , 109 (5.2.39) V1 K ( f 5 ( B, N1 ), f 6 ( B, N1 ))( a1 f 5 ( B, N1 ) 1 ) (r ( f 5 ( B, N1 ) 1 N1 ) N1 (q1 f 5( B, N 1 ) q 2 f 6( B, N1 )). (5.2.40) Now, from (5.2.39) and (5.2.40) we get V1 N 1 B V1 N 1 B B It is clear that 0, if either N1 (i) V1 V1 0 and 0, or B N1 (ii) V1 V1 0 and 0, B N1 (5.2.41) From (5.2.38), we note the following when B 0, then N 1 N 1a , where w11 N a2 w12 N 1a w13 0, where w11 r10 1 , w12 r10 1 K1 r10 0 1Q1 K 3 r31 r30 , w13 r10 0 K1 1Q0 1Q1 K 3 Let W ( N1a ) w11 N a2 w12 N 1a w13 , W (0) w13 0, 2 K K K W 1 r1 ( K 0 ) w11 1 r1 ( K 0 ) w12 1 r1 ( K 0 ) w13 0. r10 r10 r10 K Thus there exists a root N 1a in the interval 0 N1a 1 r1 ( K 0 ), given by r10 110 r30 , W ( N W ( N 1a ) 0. Now, the sufficient condition for E 9 to be unique is 1a ) 0, where W ( N1a ) 2w11 N 1a w12 0. V2 ( 0 0 B 1 N1 )Q1 K 3 (1 b) Q( f 5 ( B, N1 )) 0 r30 r1( B) 1 2 B r ( B N ) 30 0 0 1 1 (5.2.42) r10 ( B N ) K r Q ( f ( B , N1 )) 1r30 V2 0 0 1 1 3 31 5 . 2 K 1 N1 r30 ( 0 0 B 1 N1 ) (5.2.43) Now, from (5.2.42) and (5.2.43) we get V2 N 1 B . V2 N 1 B B It is clear that 0, if either N1 (i) V2 V2 0 and 0, or B N1 (ii) V2 V2 0 and 0. B N1 (5.2.44) Thus the two isoclines (5.2.37) and (5.2.38) intersects at a unique ( B, N1 ) if in addition to conditions (5.2.41) and (5.2.44), the inequality Bb N1a holds. Knowing the value of B and N1 , we get I and T can be calculated from equations (5.2.35) and (5.2.36). This completes the existence of E9 . Existence of E10 B,0, N 2 , I , T : Analogous to the existence of E 9 , we can show the existence of E10 B,0, N 2 , I , T . 111 Existence of E11 0, N1 , N 2 , I , T : In this case, N1 , N 2 , I , T are the positive solutions of the following equations r10 N1 r10 N 2 1T 0, K1 (5.2.45) K 2 K1 r10 1 r20 1 1 K1 1 r1 0 N1 N2 s1 N1 , say K1 (1 K 2 1 r20 ) K 3 I r3 N1 , s1 ( N1 ) s 2 ( N1 ), say r3 0 T (5.2.46) (5.2.47) Q( s 2 ( N1 )) s3 ( N1 ), say. 0 1 N1 2 s1 ( N1 ) (5.2.48) It is noted from equations (5.2.46), (5.2.47) and (5.2.48) that N 2 , I and T are the functions of N1 only. In order to show the existence of E11 , we define a function F3 ( N 1 ) as follows r10 N1 F3 ( N1 ) r10 s1 ( N1 ) 1 s3 ( N1 ). K1 From equation (5.2.49), we note that F3 (0) r10 s1 (0) 1 s3 (0) 0. where s1 (0) K 2 (r10 1 r201 ) , 1 K 2 1r20 s3 (0) Q0 r30 Q1 K 3 r3 (0, s1 (0)) . r30 ( 0 2 s1 (0)) K K K F3 1 r1 ( K 0 ) r11 K 0 s1 1 r1 ( K 0 ) 1 s 2 1 r1 ( K 0 ) 0, r10 r10 r10 K K K r ( K ) r201 r10 r11 K 0 where s1 1 r1 ( K 0 ) 2 1 1 1 0 , r10 (1 K 2 1r20 ) r10 112 (5.2.49) K s3 1 r1 ( K 0 ) r10 K K 3 K1 r3 r1 ( K 0 ), s 2 r1 ( K 0 ) r30 r10 r10 . K1 K1 0 1 r1 ( K 0 ) 2 s1 r1 ( K 0 ) r10 r10 Q0 Q1 K Thus there exists a root N1 in the interval 0 N1 1 r1 ( K 0 ), given by F3 ( N 1 ) 0. r10 Now, the sufficient condition for E11 to be unique is F3( N 1 ) 0, where r F3( N1 ) 10 s1 ( N1 ) 1 s3 ( N1 ) 0. K1 (5.2.50) K (r 1 K1 where s1 ( N1 ) 2 10 1 , K1 (1 K 2 1r20 ) X (Q2 K 3 (r31 r32 s1 ( N1 )) Q( K 3 r3 ( N 1 , s1 ( N1 )))( 1 2 s1 ( N1 )) s3 ( N1 ) , r30 X 2 X 0 1 N1 2 s1 ( N 1 ). With this value of N 1 , value of N 2 , I and T can be found from equations (5.2.46), (5.2.47) and (5.2.48), respectively. This completes the existence of E11. : Existence of E12 B,0,0, I, T are the positive solutions of the following equations: In this case, B, I, T r (I) r0 B 0, ) K (I, T (5.2.51) I (r30 (1 b) B ) K 3 u ( B), say, 1 r30 (5.2.52) Q0 r3 0 Q1 (r30 (1 b) B ) K 3 u ( B), say, T 2 r3 0 ( 0 0 B) (5.2.53) It may be noted from equations (5.2.52) and (5.2.53) that I and T are the functions of B only. To show the existence of E , we define a function F ( B) as follows 4 12 113 F4 ( B) r (u1 ( B)) K (u1 ( B), u 2 ( B)) r0 B. (5.2.54) From equation (5.2.54), we note that Q( K 3 ) 0. F4 0 r ( K 3 ) K K 3 , 0 F4 K 0 r0 K 0 r u1 K 0 K u1 K 0 , u 2 K 0 0, where u1 ( K 0 ) (r30 (1 b) K 0 ) K 3 Q Q1u1 ( K 0 ) , u2 (K 0 ) 0 . r30 0 0 K0 Thus there exists a root B in the interval 0 B K 0 given by F4 B 0. Now, the sufficient condition for E12 to be unique is F4 ( B) 0, where K q Q (1 b) K 3 r30 0 Q( K 3 ) F4( B) r0 r (u1 ( B)) 3 q1 (1 b) 2 0 1 r30 ( 0 0 B) 2 r30 K3 a1 (1 b) K (u1 ( B), u 2 ( B)) 0. r30 (5.2.55) With this value of B, value of I and T can be found from equations (5.2.52) and (5.2.53) respectively. This completes the existence of E12 . ,0, I, T : Existence of E13 0, N 1 , I, T are the solutions of the following equations In this case, N 1 r10 r10 0, N1 1T K1 (5.2.56) I K 3 r r N 30 31 1 m1 ( N 1 ), say, r3 0 (5.2.57) Q(m1 ( N1 )) m ( N ), say. T 2 1 0 1 N1 (5.2.58) 114 It may be noted from equations (5.2.56) and (5.2.58) that I and T are the function of ) as only. In order to show the existence of E , we define a function F ( N N 5 1 13 1 follows ) r r10 N m ( N ). F5 ( N 1 10 1 1 2 1 K1 (5.2.59) From (5.2.59), we note that F5 0 r10 1 Q( K 3 ) 0 0. K K F5 1 r1 ( K 0 ) r11 K 0 1 m2 1 r1 ( K 0 ) 0, r10 r10 K r r Q( K 3 ) Q1 K 32 r31r1 ( K 0 ) where m2 1 r1 ( K 0 ) 10 30 . r30 ( 0 1 K1r1 ( K 0 )) r10 in the interval K1 r ( K ) given by F T 0. Thus there exists a root N 0 N 5 1 1 1 0 r10 ) 0, Now, the sufficient condition for to be unique is F5( N where 1 r10 1 ( 0 Q1 K 3 r31 r30 1Q( K 3 )) ) F5( N 0. 1 ) 2 K ( N 1 0 1 1 (5.2.60) , value of I and T can be found from equations (5.2.56) and With this value of N 1 (5.2.57), respectively. Existence of E14 0,0, N 2 , I , T : Analogous to existence of E14 , we can show the existence of E14 0,0, N 2 , I , T . Existence of E * B* , N1* , N 2* , I * , T * : In this case, B* , N1* , N 2* , I * , T * are the solutions of following equations 115 r ( I *) r0 B * 1 N1* 2 N 2* 0, K I *, T * (5.2.61) r1 0 N1* r1 B * N 2* 1T * 0, K1 (5.2.62) r2 0 N 2* N1* 1T * 0, K2 (5.2.63) r I* r3 ( N1* , N 2* ) 3 0 1 bB* 0, K3 (5.2.64) QI * 0T * 0 B * T * 1 N1*T * 2 N 2*T * 0. (5.2.65) r2 B * From equations (5.2.62), (5.2.63) and (5.2.64) respectively, we get N1* K1 r2 r1 B * K 2 r2 B * 1 K 2 1r2 0 T * r10 r2 0 K1 K 2 0 = f 5 ( B*, T *), N 2* (5.2.66) K2 r1 r2 B * K1r1 B * 1 K1 1r10 T *, r10 r2 0 K1 K 2 0 = f 6 ( B*, T *), I* (5.2.67) K3 r31 K1 (r30 (r20 r1 ( B*) K 2 r2 ( B*) (1 K 2 1r20 )T *) r30 r10 r20 K1 K 2 r32 K 2 (r10 r2 ( B*) K1r1 ( B*) (1 K1 1r10 )T *) (1 b) B*). r10 r20 K1 K 2 = f 7 . ( B*, T *), (5.2.68) putting the value of N1* , N 2* and I * in equations (5.2.61) and (5.2.65), we get F6 ( B*, T *) Q( f 7 ( B*, T *)) 0T * 0 B * T * ( 1 f 5 ( B*, T *) 2 f 6 ( B*, T *))T * (5.2.69) 116 F7 ( B*, T *) (r ( f 7 ( B*, T *)) 1 f 5 ( B*, T *) 2 f 6 ( B*, T *)K ( f 7 ( B*, T *), T *) r0 B * . (5.2.70) From (5.2.69), we note the following when T * 0, then B* Be* , where x11 Be* x12 0, where x11 Q1 K 3 Be* r31K1 (r20r11 K 2 r21 ) r32 K 2 (r10r21 K1r11 ), r30 (r10r20 K1 K 2 ) x12 Q( K 3 ) Q1 K 3 r31K1 (r20r10 K 2 r20 ) r32 K 2 (r10r20 K1r10 ). r30 (r10r20 K1 K 2 ) Let X 1 ( Be* ) x11 Be* x12 , X 1 (0) x12 0, X 1 ( K 0 ) x11 K 0 x12 0. Thus there exists a root B e* in the interval 0 Be* K 0 given by X 1 ( Be* ) 0. Now, the sufficient condition for E * to be unique is X 1 ( Be* ) 0, where X 1 ( Be* ) x11 0, F6 Q( f 7( B*, T *)) 0T * 1T * f 5( B*, T *) 2T * f 6( B*, T *). B * (5.2.71) F6 Q( f 7( B*, T *)) 0 0 B * 1 f 5 ( B*, T *) 1T * f 5( B*, T *) T * 2 f 6 ( B*, T *) 2T * f 6( B*, T *). Now, from (5.2.71) and (5.2.72) we get 117 (5.2.72) F6 B * T * F6 T * B * It is clear that B * 0, if either T * (i) F6 F6 0 and 0, or B * T * (ii) F6 F6 0 and 0, B * T * (5.2.73) From (5.2.70), we note the following when B* 0, then T * Te* , where (r ( f 7 (0, T *)) 1 f 5 (0, T *) 2 f 6 (0, T *)K ( f 7 (0, T *), T *) 0 Let X 2 (Te* ) (r ( f 7 (0, Te* )) 1 f 5 (0, Te* ) 2 f 6 (0, Te* ) K ( f 7 (0, Te* ), Te* ), K r (r K 2 ) 2 K 2 r10 (r20 K1 ) X 2 (0) r0 a1 Z1 1 1 20 10 K 0 q1 Z1 0, r10 r20 K1 K 2 where Z1 K 3 K 3 (r31 K1r20 (r10 K 2 ) r32 K 2 r10 (r20 K1 ) . r30 (r10 r20 K1 K 2 X 2 (Tm ) (r ( f 7 (0, Tm )) 1 f 5 (0, Tm ) 2 f 6 (0, Tm ) K ( f 7 (0, Tm ), Tm ) 0, Thus there exists a root Te* in the interval 0 Te* Tm , given by X 2 (Te* ) 0. Now, the sufficient condition for Te* to be unique is X 2 (Te* ) 0. where X 2 (Te* ) (r ( f 7(0, Te* )) 1 f 5(0, Te* ) 2 f 6(0, Te* ) K ( f 7 (0, Te* ), Te* ) (r ( f 7 (0, Te* )) 1 f 5 (0, Te* ) 2 f 6 (0, Te* )( q1 f 7(0, Te* ) q 2 ) 0, F7 (a1 f 7( B*, T *) 1 f 5( B*, T *) 2 f 6( B*, T *)) K ( f 7 ( B*, T *), T *) B * (r ( f 7 ( B*, T *)) 1 f 5 ( B*, T *) 2 f 6 ( B*, T *))q1 f 7( B*, T *) r0 118 (5.2.74) F7 (a1 f 7( B*, T *) 1 f 5( B*, T *) 2 f 6( B*, T *)) K ( f 7 ( B*, T *), T *) T * (r ( f 7 ( B*, T *)) 1 f 5 ( B*, T *) 2 f 6 ( B*, T *))(q1 f 7( B*, T *) q2 ). (5.2.75) Now, from (5.2.74) and (5.2.75) we get F7 B * T * F7 T * B * It is clear that B * 0, if either T * (i) F7 F7 0 and 0, or B * T * (ii) F7 F7 0 and 0, B * T * (5.2.76) Thus the two isoclines (5.2.66) and (5.2.67) intersects at a unique ( B*, T *) if in addition to conditions (5.2.73) and (5.2.76), the inequality Be* Te* holds. Knowing the value of B * and T *, we get N1* , N 2* and I * can be calculated from equations (5.2.66), (5.2.67) and (5.2.68). This completes the existence of E * . 5.4 STABILITY ANALYSIS 5.4.1 Local Stability To discuss the local stability of system (5.1.1), we compute the variational matrix of the system (5.1.1). The entries of general variational matrix are given by differentiating the right hand of system (5.1.1) with respect to B, N1 , N 2 , I , and T i.e. 119 A1 r11 N 1 M (E) r21 N 2 (1 b) I 0T 1 B A2 r q B2 2 B a1 B 0 1 ( K ( I , T )) 2 N 1 0 N 2 A3 0 r31 I r32 I A4 1T 2T Q1 r q B2 0 2 ( K ( I , T )) 2 1 N1 . 1 N 2 0 A5 Where A1 r ( I ) 2r0 B 2r N 1 N1 2 N 2 , A2 r1 ( B) 10 1 N 2 1T , K (I , T ) K1 A3 r2 ( B) 2r20 N 2 2r I N1 1T , A4 r3 ( N1 , N 2 ) 30 (1 b) B, K2 K3 A5 0 0 B 1 N1 2 N 2 . The variational matrix M ( E 0 ) at equilibrium point E0 is given by r0 0 M ( E0 ) 0 0 0 Q0 0 0 Q r10 1 0 0 0 0 Q 1 0 0 r20 0 0 0 0 1 Q0 0 0 0 r30 Q 2 0 0 Q1 0 0 0 . 0 0 From M ( E 0 ) , we note that characteristic roots namely, r0 , r10 1Q0 Q , r20 1 0 0 0 and r30 are positive, giving a saddle point which is stable in the T , direction and unstable in the B N1 N 2 I space. Therefore, the equilibrium point E 0 , is unstable. The variational matrix M ( E1 ) at equilibrium point E1 is given by 120 r(K 3 ) 0 0 M ( E1 ) (1 b) K 3 0 Q( K 3 ) 0 0 Q( K 3 ) r10 1 0 0 r31 K 3 Q( K 3 ) 1 0 r20 0 0 0 0 1Q ( K 3 ) 0 r32 K 3 Q( K 3 ) 2 0 0 r30 Q1 0 0 0 . 0 0 From M ( E1 ) , we note that characteristic roots namely, r ( K 3 ), r10 and r20 1Q( K 3 ) , 0 1Q( K 3 ) are positive, giving a saddle point which is stable in the I T , 0 plane and unstable in the B N1 N 2 space. Therefore, the equilibrium point E1 , is unstable. The variational matrix M ( E2 ) at equilibrium point E2 is given by r0 B K (0, T ) 0 M ( E2 ) 0 0 0T 1B 2B S r1 ( B ) 1T 0 0 0 r2 ( B ) 1T 0 0 0 r30 (1 b) B 1T 2T Q1 r0 q 2 B 2 ( K (0, T )) 2 0 , 0 0 ( 0 0 B ) where r q B2 . S a1 B 0 1 2 ( K ( 0 , T )) From M ( E2 ) , we note that characteristic roots namely, r1 ( B ) 1T , r2 ( B ) 1T , and r30 (1 b) B are positive, giving a saddle point which is stable in the B T , plane and unstable in the N1 N 2 I space. Therefore, the equilibrium point E 2 , is unstable. The variational matrix M ( E3 ) at equilibrium point E 3 is given by 121 r0 1 N 1 r N 11 1 M ( E3 ) 0 0 0T 0 0 0 N 1 0 r20 N 1 1T 0 0 0 r30 r31 N 1 1T 2T Q1 r10 N 1 K1 0 1 N1 . 0 0 ( 0 1 N 1 ) 0 From M ( E3 ) , we note that characteristic roots namely, r0 1 N1 , r20 N1 1T , and r30 r31 N1 are positive, giving a saddle point which is stable in the N1 T , plane and unstable in the B N 2 I space. Therefore, the equilibrium point E 3 , is unstable. The variational matrix M ( E4 ) at equilibrium point E4 is given by r0 2 Nˆ 2 0 M ( E 4 ) r21 Nˆ 2 0 ˆ 0T 0 ˆ r10 N 2 1Tˆ Nˆ 2 0 1Tˆ 0 0 0 0 r Nˆ 20 2 K2 0 Tˆ 0 r30 r32 Nˆ 2 Q1 2 0 1 Nˆ 2 . 0 ( 0 2 Nˆ 2 ) 0 From M ( E4 ) , we note that characteristic roots namely, r0 2 Nˆ 2 , r10 Nˆ 2 1Tˆ , and r30 r32 N̂ 2 are positive, giving a saddle point which is stable in the Nˆ 2 T , plane and unstable in the B N1 I space. Therefore, the equilibrium point E 4 , is unstable. The variational matrix M ( E5 ) at equilibrium point E 5 is given by ˆˆ r0 B K (0, Tˆˆ ) ˆ M ( E5 ) r11 Nˆ 1 0 0 Tˆˆ 0 ˆ 1 Bˆ ˆ r10 Nˆ 1 K1 0 ˆ r0 q1 Bˆ 2 ˆˆ ˆˆ 2 B a1 B ˆ ( K (0, Tˆ )) 2 ˆ Nˆ 1 0 H1 0 0 0 ˆ 1Tˆ ˆ 2Tˆ H2 Q1 122 ˆ2 r0 q 2 Bˆ ˆ ( K (0, Tˆ )) 2 ˆ 1 Nˆ 1 . 0 0 H3 where ˆ ˆ ˆ ˆ ˆ ˆ ˆ H 1 r2 ( Bˆ ) Nˆ 1 1Tˆ , H 2 r30 r31 Nˆ 1 (1 b) Bˆ , H 3 ( 0 0 Bˆ 1 Nˆ 1 ). ˆ ˆ ˆ From M ( E5 ) , we note that characteristic roots namely, H1 r2 ( Bˆ ) Nˆ 1 1Tˆ and ˆ ˆ H 2 r30 r31 Nˆ 1 (1 b) Bˆ1 are positive, giving a saddle point which is stable in the B N1 T , space and unstable in the N 2 I plane. Therefore, the equilibrium point E 5 , is unstable. The variational matrix M ( E6 ) at equilibrium point E6 is given by ~ r0 B ~ K (0, T ) 0 M ( E6 ) ~ r21 N 2 0 ~ 0T ~ 1 B ~ 2B Y1 ~ N 2 0 0 ~ 1T ~ r20 N 2 K2 0 ~ 2T ~ ~ r0 q1 B 2 a1 B ~ ( K (0, T )) 2 0 0 Y2 Q1 ~ r q B2 0 2~ ( K (0, T )) 2 0 . ~ 1 N 2 0 Y3 where ~ ~ ~ ~ ~ ~ ~ Y1 r1 ( B) N 2 1T , Y2 r30 r32 N 2 (1 b) B, Y3 ( 0 0 B 2 N 2 ). ~ ~ ~ From M ( E 6 ) , we note that characteristic roots namely, Y1 r1 ( B ) N 2 1T and ~ ~ Y2 r30 r32 N 2 (1 b) B are positive, giving a saddle point which is stable in the B N 2 T , space and unstable in the N1 I plane. Therefore, the equilibrium point E 6 , is unstable. The variational matrix M ( E7 ) at equilibrium point E7 is given by 123 ~ ~ ~ ~ r N N 0 1 1 2 2 ~ ~ r11 N 1 M ( E7 ) ~ ~ r21 N 2 0 ~ ~ 0T 0 ~ ~ r10 N 1 K1 ~ ~ N 2 0 ~ ~ N 1 ~ ~ r20 N K2 0 ~ ~ 1T 0 ~ ~ 2T ~ ~ 0 1 N1 . ~ ~ 0 1 N 2 ~ ~ ~ ~ r3 ( N 1 , N 2 ) 0 ~ ~ ~ ~ Q1 ( 0 1 N 1 2 N 2 ) 0 0 ~ ~ ~ ~ From M ( E7 ) , we note that characteristic roots namely, r0 1 N1 2 N 2 and ~ ~ ~ ~ r3 ( N1 , N 2 ) are positive, giving a saddle point which is stable in the N1 N 2 T , space and unstable in the B I plane. Therefore, the equilibrium point E 7 , is unstable. The variational matrix M ( E8 ) at equilibrium point E8 is given by r0 B K (0, T ) r11 N 1 M ( E8 ) r21 N 2 0 T 0 1B r10 N 1 K1 N 2 0 1T 2B N 1 r20 N 2 K2 0 2T r0 q1 B 2 a1 B ( K (0, T )) 2 0 0 r3 ( N 1 , N 2 ) Q1 r0 q 2 B 2 ( K (0, T )) 2 1 N1 , 1 N 2 0 Z where Z ( 0 0 B 1 N1 2 N 2 ). ~ ~ ~ ~ From M ( E8 ) , we note that characteristic root namely r3 ( N1 , N 2 ) is positive, giving a saddle point which is stable in the B N1 N 2 T , space and unstable in the I direction. Therefore, the equilibrium point E 8 , is unstable. The variational matrix M ( E9 ) at equilibrium point E 9 is given by 124 r0 B K (I ,T ) r N 11 1 M ( E9 ) 0 ( 1 b ) I T 0 1B r10 N1 K1 0 r31 I 1T 2 r q B 2 B a1 B 0 1 ( K ( I , T )) 2 N 1 0 P1 r32 I 2T 0 r I 30 K3 Q1 2 r q B 0 2 ( K ( I , T )) 2 1 N1 . 0 0 P2 P r ( B ) N T , P ( B N where 1 2 1 1 2 0 0 1 1 ). From M ( E9 ) , we note that characteristic root namely P1 r2 ( B) N1 1T is positive, giving a saddle point which is stable in the B N1 I T , space and unstable in the N 2 direction. Therefore, the equilibrium point E 9 , is unstable. The variational matrix M ( E10 ) at equilibrium point E10 is given by r0 B K (I ,T ) 0 M ( E10 ) r21 N 2 (1 b) I 0T 1 B 2B D1 0 0 r31 I 1T r20 N 2 K2 r32 I 2T r0 q1 B 2 a1 B ( K ( I , T )) 2 0 0 r30 I K3 Q1 r0 q 2 B 2 ( K ( I , T )) 2 0 1 N 2 . 0 D2 where D1 r1 ( B) N 2 1T , D2 ( 0 0 B 2 N 2 ). From M ( E10 ) , we note that characteristic root namely, D1 r1 ( B) N 2 1T is positive, giving a saddle point which is stable in the B N 2 I T , space and unstable in the N1 direction. Therefore, the equilibrium point E10 , is unstable. The variational matrix M ( E11 ) at equilibrium point E11 is given by 125 r ( I ) N N 1 1 2 2 r11 N 1 M ( E11 ) r21 N 2 ( 1 b ) I T 0 0 0 r31 I 1T N 1 r20 N 2 K2 r32 I 2T r10 N 1 K1 N 2 1 N1 1 N 2 . 0 ( 0 1 N 1 2 N 2 ) 0 0 0 0 r30 I K3 Q1 From M ( E11 ) , we note that characteristic root namely r ( I ) 1 N1 2 N 2 is positive, giving a saddle point which is stable in the N1 N 2 I T , space and unstable in the B direction. Therefore, the equilibrium point E11 , is unstable. The variational matrix M ( E12 ) at equilibrium point E12 is given by r0 B K (I ,T ) 0 M ( E12 ) 0 (1 b)I 0T 1 B 2 B G1 r1 ( B) 1T 0 0 0 r2 ( B) 1T r31I r32I 1T 2T 0 r30I K3 Q1 r0 q1 B2 where G1 a1 B K I,T r0 q 2 B2 ( K (I, T)) 2 0 . 0 0 ( 0 0 B) 2 and r ( B) T From M ( E12 ) , we note that characteristic root namely, r1 ( B) 1T 2 1 are positive, giving a saddle point which is stable in the B I T , space and unstable in the N1 N 2 plane. Therefore, the equilibrium point E12 , is unstable. The variational matrix M ( E13 ) at equilibrium point E13 is given by 126 r (I) N 1 1 r11 N 1 M ( E13 ) 0 (1 b)I 0T From M ( E13 ) , we 0 r10 N 1 K1 0 r31I 1T note that N 0 1 N 1 1 T r20 N 0 0 . 1 1 r30I r32 I 0 K3 ) 2T Q1 ( 0 1 N 1 0 characteristic 0 roots 0 namely, and r (I) 1 N 1 T are positive, giving a saddle point which is stable in the N I T , r20 N 1 1 1 space and unstable in the B N 2 plane. Therefore, the equilibrium point E13 , is unstable. The variational matrix M ( E14 ) at equilibrium point E14 is given by r ( I ) N 2 2 0 r N 21 2 M ( E14 ) (1 b) I 0T 0 0 r10 N 2 1T 0 r20 N 2 N 2 K2 r31 I r32 I 1T 2T 0 0 0 r I 30 K3 Q1 0 1 N 2 . 0 ( 0 2 N 2 ) From M ( E14 ) , we note that characteristic roots namely, 0 r (I) 1 N 1 and r10 N 2 1T are positive, giving a saddle point which is stable in the N 2 I T , space and unstable in the B N1 plane. Therefore, the equilibrium point E14 , is unstable. In the following theorem we show that E * is locally asymptotically stable: Theorem (5.4.1): In addition to assumptions (H1) – (H8), let the following inequalities holds 127 (C1 C 2 ) 2 C1C 2 (C3 r31 ) 2 C1C3 r10 r20 , K1 K 2 (5.4.1) r10 r30 , K1 K 3 (5.4.2) 1 r (C11 1T *) 2 C1 10 0 0 B* 1 N1* 2 N 2* , 2 K1 (5.4.3) 2 r B *q r0 * 1 2 0 T 0 0 B* 1 N1* 2 N 2* , 0 2 K ( I *, T *) 2 K ( I *, T *) (5.4.4) r 1 (C2 1 2T *) 2 C2 20 0 0 B* 1 N1* 2 N 2* , 2 K2 (5.4.5) r20 r30 , K 2 K3 (C3 r32 ) 2 C 2 C3 (5.4.6) r 1 Q32 C3 30 0 0 B* 1 N1* 2 N 2* 2 K3 (5.4.7) where C1 1 r1 ( B* ) , C2 2 r2 ( B* ) , C3 r B * K ( I *) r ( I *)K 0 2 ( I *, T *) . (1 b) K ( I *, T *) 2 (5.4.8) Then E * is locally asymptotically stable. Proof: We first linearize the system (5.1.1) by using the following transformations B B* b, N1 N1* n1 , N 2 N 2* n2 , I I * i, T T* . (5.4.9) where b, n1 , n2 , i, are small perturbation around the positive equilibrium. Then using the following positive definite function in the linearized version of the model W t 1 2 B* b2 C C1 C 1 2 2 n1 2 n2 3 i 2 2 , * * * 2 2 N1 2N 2 2I we obtain 128 (5.4.10) dW 1 1 a11b 2 a12bn1 a 22 n12 , dt 4 4 1 1 a 22 n12 a 23 n1 n2 a33 n22 , 4 4 1 1 a33 n22 a31n2 b a11nb 2 , 4 4 1 1 a11b 2 a14bi a 44i 2 , 4 4 1 1 a 44i 2 a 42 n1i a 22 n12 , 4 4 1 1 a 22 n12 a 25 n1 a55 2 , 4 4 1 1 a55 2 a51b a11b 2 , 4 4 1 1 a 22 n12 a 25 n1 a55 2 , 4 4 1 1 a55 2 a53 n2 a33 n22 , 4 4 1 1 a33 n22 a34 n2 i a 44i 2 , 4 4 1 1 a 44i 2 a 45i a55 2 , 4 4 where a11 2r0 , K I *,T * 2r a 22 C1 10 , K1 a55 0 0 B* 1 N1* 2 N 2* , a31 2 C 2 r2 ( B* ), 2r a33 C 2 20 , K2 2r a 44 C3 30 , K3 a12 1 C1r1 ( B* ), a14 r ( I * ) a23 C1 C2 , r0 B* K ( I * ) C3 1 b , 2 * * K (I ,T ) 129 a 42 C3 r3 ( N1* ), a 25 1C1 1T * , a34 C3 r3 ( N 2* ), r B* K (T * ) a51 0 0T * , K 2 (I *,T * ) a53 1C 2 2T *, a45 Q3 . Sufficient conditions for dW dt to be negative definite are that the following inequalities hold: a122 1 a11a 22 , 4 (5.4.11) 2 a 23 1 a 22 a33 , 4 (5.4.12) 2 a 31 1 a 33 a11 , 4 (5.4.13) a142 1 a11a 44 , 4 (5.4.14) 2 a 42 1 a 22 a 44 , 4 (5.4.15) 2 a 25 1 a 22 a55 , 4 (5.4.16) 2 a 51 1 a11a 55 , 4 (5.4.17) 2 a53 1 a33 a55 , 4 (5.4.18) 2 a34 1 a33 a 44 , 4 (5.4.19) 2 a 45 1 a 44 a55 . 4 (5.4.20) By choosing C1 , C 2 , C 3 as given by equation (6.4.8), we note that ine5ualities (5.4.11), (5.4.13) and (5.4.14) are automatically satisfied. We further note that (5.4.1) (5.4.12), (5.4.2) (5.4.15), (5.4.3) (5.4.16), (5.4.4) (5.4.17),(5.4.5) (5.4.18) 130 (5.4.6) (5.4.19), (5.4.7) (5.4.20). This shows that W is Lyapunov function with respect to E * , proving the theorem. 5.4.2 Global Stability Theorem (5.4.2): In addition to assumptions (H1) - (H8), let r ( I ), K I , T , r1 B, r2 ( B), r3 N1 , N 2 and QI satisfy the following conditions in : K K m1 , 0 m2 , 0 r I 1 , 0 r1 B 2 , I T r r (5.4.21) 0 r2 B 3 , 0 3 4 , 0 3 5 , 0 QI 6 . N1 N 2 K m K I , T K 0 , 0 For some positive constants K m , m1 , m2 , 1 , 2 , 3 , 4 , 5 , 6 . Then if the following inequalities hold in r0 r10 , 4 K I m , Tm K1 (5.4.22) r0 r20 , 4 K I m , Tm K 2 (5.4.23) 1 2 2 1 2 3 2 1 2 r0 r30 m 1 1 r0 B* 12 1 b , 4 K I , T K K m m 3 m (5.4.24) 2 * m2 r0 1 r0 B 0Tm 0 0 B* 1 N1* 2 N 2* , 2 4 K I , T K m m m r10 r20 , 4 K1 K 2 2 1 42 (5.4.26) 1 r10 r30 , 4 K1 K 3 (5.4.27) r10 0 0 B* 1 N1* 2 N 2* , 4 K1 1 1Tm 2 1 52 (5.4.25) 1 r20 r30 , 4 K 2 K3 (5.4.28) (5.4.29) 131 r20 0 0 B* 1 N1* 2 N 2* , 4 K2 1 2Tm 2 1 62 (5.4.30) 1 r30 0 0 B* 1 N1* 2 N 2* , 4 K3 (5.4.31) E * is globally asymptotically stable with respect to all solutions initiating in the positive orthant . Proof: Consider the following positive definite function about E * N B N1 N1* N1* ln 1 V B, N1 , N 2 , I , T B B* B* ln B* N1* N N * N * ln N 2 I I * I * ln I 1 (T T *) 2 . 2 2 2 N 2* I* 2 Differentiating V with respect to time t, we get dV B B * dB N 1 N 1* dN 1 N 2 N 2* dN 2 I I * dI dt I dt dt B dt N 1 dt N 2 T T* dTdt . Substituting the values of dB dN1 dN 2 dI dT , , , and dt dt dt dt dt from the system equation (5.1.1) in the above equation and after doing some algebraic manipulations and considering functions, r I r ( I * ) , I I *, * 1 I I I r ( I * ), I I *. (5.4.32) r B r ( B * ) 1 1 , B B* , * 1 B B B * B B*. r1( B ), (5.4.33) 132 r B r ( B * ) 2 2 , B B* , * 2 B BB r2 ( B * ), B B*. (5.4.34) Q I Q ( I * ) , I I *, I I I * * I I *. Q ( I ), (5.4.35) 1 1 K I , T K I *,T , 2 I , T I I* 1 K ( I * , T ) , K 2 (I *,T ) I I I *, (5.4.36) I I *. 1 1 * * * K (I ,T ) K (I ,T ) , 3 (I *,T ) T T* 1 K ( I * , T * ) , K 2 (I *,T * ) T T T *, (5.4.37) T T *. r N , N r N *, N 3 1 2 , N1 N1*, 3 1 2 * N1 N1 1 N1 , N 2 r3 N1*, N 2 , N1 N1*. N1 r N *, N r N *, N * 2 3 1 2 3 1 , N 2 N 2* , * N2 N2 2 N1* , N 2 r3 N1* , N 2* , N 2 N 2*. N 2 (5.4.38) we get dV 1 1 c11 ( B B* ) 2 c12 ( B B* )( N1 N1* ) c 22 ( N1 N1* ) 2 , dt 4 4 133 (5.4.39) 1 1 c11 ( B B* ) 2 c13 ( B B* )( N 2 N 2* ) c33 ( N 2 N 2* ) 2 , 4 4 1 1 c11 ( B B* ) 2 c14 ( B B* )( I I * ) c 44 ( I I * ) 2 , 4 4 1 1 c11 ( B B* ) 2 c15 ( B B* )(T T * ) c55 (T T * ) 2 , 4 4 1 1 c 22 ( N 1 N1* ) 2 c 23 ( N1 N1* )( N 2 N 2* ) c33 ( N 2 N 2* ) 2 , 4 4 1 1 c 22 ( N1 N1* ) 2 c 24 ( N1 N1* )( I I * ) c 44 ( I I * ) 2 , 4 4 1 1 c 22 ( N1 N1* ) 2 c 25 ( N1 N1* )(T T * ) c55 (T T * ) 2 , 4 4 1 1 c33 ( N 2 N 2* ) 2 c34 ( N 2 N 2* )( I I * ) c 44 ( I I * ) 2 , 4 4 1 1 c33 ( N 2 N 2* ) 2 c35 ( N 2 N 2* )(T T * ) c55 (T T * ) 2 , 4 4 1 1 c 44 ( I I * ) 2 c 45 ( I I * )(T T * ) c55 (T T * ) 2 , 4 4 where c11 r0 r r r , c22 10 , c33 20 , c44 30 , c55 0 0 B* 1 N1* 2 N 2* K I , T K1 K2 K3 c12 1 1 B , c13 2 2 B , c14 1 I r0 B* 2 I , T 1 b c15 r0 B* 3 I * , T 0T , c 23 , c 24 1 N1 , N 2 , c 25 1 1T , c34 2 N1* , N 2 , c35 1 2T , c 45 I . Then sufficient conditions for dV to be negative definite are that the following dt inequalities hold 134 c122 1 c11c 22 , 4 2 c 24 1 1 1 1 1 2 2 2 2 c 22 c 44 , c 25 c 22 c55 , c34 c33c 44 , c35 c33c55 , c 45 c 44 c55 . 4 4 4 4 4 c132 1 c11c33 , 4 c142 1 c11c 44 , 4 c152 1 c11c55 , 4 2 c 23 1 c 22 c33 , 4 (5.4.40) Now, from (5.4.21) and mean value theorem, we note that 1 I 1 , 2 I , T m1 m , 3 ( I *, T ) 22 , 1 B 2 , 2 B 3 , 2 Km Km 1 N1 , N 2 4 , 2 ( N1* , N 2 ) 5 , I 6 . (5.4.41) Further, we note that the stability conditions (5.4.22) - (5.4.31) as stated in theorem (5.4.2), can be obtained by maximizing the left- hand side of inequalities (5.4.40). This completes the proof of theorem (5.4.2). Remark. In model (5.1.1), the industrialization acts as a predator on the resource biomass as well as on the competing species with an alternative resource, i.e., even in the absence of resource biomass and the competing species the industrialization grows logistically due to its dependency on some other alternative resource. If the industrialization is assumed to act as a predator that completely depends upon the resource biomass and the competing species, then the fourth equation of model (5.1.1) may be replaced by dI 0 I 1 I 2 1 b BI r30 N1 I r31 N 2 I , dt (5.4.42) where 0 0 is the natural depletion rate coefficient of the industrialization and 1 0 is the intra-specific interference coefficient. In case of abundance of resource and competing species, 1 may be taken to be zero. If we analyze model (5.1.1), when the fourth equation of the model is replaced by (5.4.42), we note that the equilibrium 135 Q K 3 corresponding to E1 0,0,0, K 3 , 0 does not exist. Other fifteen equilibrium points similar to that of the original model (5.1.1) exist under certain modified conditions. However, the magnitudes of the equilibrium level get changed. In particular, it is noted that the equilibrium level of industrialization is less and the equilibrium level of resource biomass is more in comparison to the previous case. It has also been found that if the concentration of pollutant increases unabatedly, then the densities of resource biomass, competing species and industrialization decreases faster as compared to the previous case. Stability condition for the positive equilibrium to be locally and globally asymptotically stable can be obtained in a certain manner as in theorem (5.4.1) and (5.4.2). 5.5 NUMERICAL SIMULATION AND DISCUSSION To facilitate the interpretation of our mathematical findings by numerical simulation, we integrated system (5.1.1) using fourth order Runge-Kutta method. We take the following particular form of the functions involved in the model (5.1.1): r I r0 a1 I , r1 B r10 r11 B, r2 B r20 r21 B, r3 N1 , N 2 r30 r31 N1 r32 N 2 , K I , T K 0 q1 I q2T , QI Q0 Q1 I . (5.5.1) Now we choose the following set of values of parameters in model (5.1.1) and equation (5.5.1). r0 7, a1 0.006, K 0 15, q1 0.002, q 2 0.003, 1 0.03, 2 0.05, r10 4, r11 0.02, K1 12, 0.006, 1 0.005, r20 6, r21 0.03, K 2 12, 0.006, 1 0.008, r30 7, r31 0.04, r32 0.03, K 3 20, b .98, Q0 10, Q1 .001, 0 3, 0 0.3, 1 0.1, 2 0.08, 1 0.02, 2 0.05, 3 0.02, 4 0.03, 136 5 0.02, 6 0.01, m1 0.001, m2 0.001, K m 15. (5.5.2) With the above values of parameters, we note that condition for the existence of E * are satisfied and E * is stable. B* 12.5073, N1* 12.5127, N 2* 12.5825, I * 23.2226, T * 1.1124. It is further noted that all conditions of local stability (5.4.1) – (5.4.7) and global stability (5.4.24) – (5.4.33) are satisfied for the set of values of parameters given in (5.5.2). Figures (1) – (3), shows the dynamics of resource biomass for different values of a1 , q1 and q2 , with respect to time‘t’. It is analyzed from the figures that as the density of industrialization and toxicant increase into the environment, the growth rate as well as carrying capacity of resource biomass decreases. It is also noted that initially resource biomass increases with time ‘t’, and after certain time it settle down to its steady state, assuring the local stability of equilibrium point E * . Figure 1, Variation of B , with time ‘t’for different values of a1 and other values of parameters are same as in (5.5.2) 137 Figure 2, Variation of B , with time for different values of q1 and other values of parameters are same as in (5.5.2) Figure 3, Variation of B , with time ‘t’ for different values of q 2 and other values of parameters are same as in (5.5.2) 138 Figures (4) and (5), shows the variation of N1 and N 2 , against time ‘t’ for different values of Q1 . From these plot, we note that as Q1 , (the rate of formation of toxicant due to industrialization) increases into the environment, the density of both competing species decreases. Also, the effect of parameter Q1 , on the density of toxicant is shown in figure (6). From this figure, we note that by a very small increment in the value of Q1 , toxicant in the environment increases very rapidly as the time passes. Figure 4, Variation of N1 , with time ‘t’ for different Q1 , and other values of parameters are same as in (5.5.2) 139 Figure 5, Variation of N 2 , with time ‘t’for different Q1 , and other values of parameters are same as in (5.5.2) Figure 6, Variation of T , Toxicant with time ‘t’ for different Q1 , and other values of parameters are same as in (5.5.2) 140 The variations of I , with time ‘t’ are plotted in figures (7) and (8) for different values of r31 and r32 respectively. From these figures, it can be easily seen that by small increment in values of these parameters density of industrialization grow rapidly. From figure (9), we note that industrialization into the environment increases very rapidly by small increment in growth rate of industrialization by resource biomass, 1 b. This suggest that the resource biomass should be utilized appropriately by industrialization otherwise it may driven to extinction. The variation of N1 and N 2 , in the presence and absence of industrialization is plotted in figure (10). From this plot, we can infer that presence of industrialization decreases the endemic level of both competing species. It is due to the fact that due to presence of industrialization, density of toxicant increases, which causes decrease in the density of competing species. Figure 7, Variation of I , with time ‘t’ for different values of r31 and other values of parameters are same as in (5.5.2) 141 Figure 8, Variation of I , with time ‘t’ for different values of r32 and other values of parameters are same as in (5.5.2) Figure 9, Variation of I , with time ‘t’ for different values of (1-b) and other values of parameters are same as in (5.5.2) 142 Figure 10, Variation of N1 with N 2 in the presence and absence of industrialization for the set of parameters values given in (5.5.2) 5.6 Conclusion In this chapter, a nonlinear mathematical model is proposed and analyzed to study the survival of resource dependent competing species, where it is assumed that competing species and its resource are affected by the toxicant emitted directly into the environment from external sources as well as its concentration increases by population pressure augmented industrialization. Equilibrium analysis has been found, analytically as well as graphically, and it is observed that the nontrivial equilibrium is locally as well as globally asymptotically stable under certain conditions. It is noted that not only the concentration of toxicants emitted from external sources but also formed by population pressure augmented industrialization plays an important role in determining the stability of the system. It is obtained from the analysis that as the cumulative rate of emission of the toxicant from external sources as well as its 143 formation due to industrialization increases, the equilibrium density of both competing species and its resource decreases. Also, it is found that as density of industrialization increases into the environment, it reduces growth rate and carrying capacity of resource biomass. Again, it is observed that initially with the enhancement in density of industrialization, density of toxicant increases slowly, but after gradual increment in density of industrialization, toxicant growth is very effective. From the analysis, it is predicted that when both competing species are affected by a toxicant in the absence of industrialization, the equilibrium densities are greater than their values when toxicant is formed due to industrialization. Also, it is obtained that the density of industrialization increases with increase in the density of competing species and resource biomass. 144
© Copyright 2025 Paperzz