An Introduction to Mathematical Biology by Linda J.S. Allen

By Linda J.S. Allen

KEY BENEFIT: This reference introduces quite a few mathematical types for organic platforms, and offers the mathematical conception and methods precious in interpreting these types. fabric is equipped in line with the mathematical conception instead of the organic program. comprises purposes of mathematical thought to organic examples in every one bankruptcy. specializes in deterministic mathematical types with an emphasis on predicting the qualitative answer habit through the years. Discusses classical mathematical versions from inhabitants , together with the Leslie matrix version, the Nicholson-Bailey version, and the Lotka-Volterra predator-prey version. additionally discusses newer types, comparable to a version for the Human Immunodeficiency Virus - HIV and a version for flour beetles. KEY MARKET: Readers seeking a superb history within the arithmetic at the back of modeling in biology and publicity to a wide selection of mathematical types in biology.

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The y) is posit ive ~f b ibriu m satisfied If x, Y > 0 a~d. a + b < 3. ~rnng these inequ alitie s leads /1 / '' / '' / ' / / ' / / ity criteria does not hold, Whe n one of the inequalities in the local stabil in the complex plane or outsi de at least one eigenvalue eithe r lies on the unit circle ), it can be seen from the previ ous of the unit circle, IAi I 2::: 1. If Tr(J ) > 1 + det(J 1. If Tr(J ) < -1-d et(J ), then the proo f that the eigenvalues are real and A1 > eigenvalues are complex conjueigenvalues are real and A2 < -1.

Y 2 0, y 1), - the absen ce of the preda tor, The prey popu latio n grows logistically in nt, the prey popu latio n size x 1+l = xi(a - x 1). Whe n the pred ator is prese expo nenti ally in the absen ce of the decreases. The pred ator popu latio n decre ases prey, the pred ator popu latio n prey, Yt+l = by1, but in the prese nce of the for the prey popu latio n to beco me increases. Note that it is possi ble for solutions ions are very impo rtant for a realnega tive if x 1 or y1 are large.

5. 25 3 < 1. 25J1 - aJ. 25aJ if (1 - a)(l +a) d on a If -0 5 < < 1 th The comb ined inequ alitie s in (i)-(ii i) yield a boun ' : a · · p(A) willh avero otssa tisfyi ng\A ;I< 1. 3). 23). The soluti ons A;, /Ad < 1 iffthe follow ing three condi tions hold: (i) p(l) = 1 + ai + a2 + a3 > 0, 3 (ii) (-1) p(-1 ) = 1 - a 1 + a 2 - a3 2 (iii) 1 - (a3) > la 2 - a3a1/. = A check of the Jury condi tions shows are easy to state. Theo rem 2. 15 A compartmental diagram for the SIR epidemic model. 10 An Example: Epidemic Model 70 Chapter 2 Nonlinear Difference Equations, Theory, and Examples 'od when there are no deaths (we are assuming an infected individual is also pen .

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