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 necessary in studying these versions. fabric is prepared in accordance with the mathematical thought instead of the organic program. comprises functions of mathematical concept to organic examples in every one bankruptcy. makes a speciality of deterministic mathematical versions with an emphasis on predicting the qualitative answer habit over 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 more moderen types, equivalent to a version for the Human Immunodeficiency Virus - HIV and a version for flour beetles. KEY MARKET: Readers seeking an effective historical past 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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An Introduction to Mathematical Biology

KEY gain: This reference introduces various mathematical versions for organic structures, and offers the mathematical concept and methods invaluable in interpreting these types. fabric is prepared in keeping with the mathematical thought instead of the organic software. includes purposes of mathematical concept to organic examples in every one bankruptcy.

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Tions on its doma in The funct ion/h as sensitive dependence on initial condi for each x 0 E 1 (refe rred to 1 if f has sensitive depen dence on initial conditions . Next we define what is as simply sensitive dependence on initial conditions) ition of a Liapu nov expomean t by a Liapunov expo nent at a point x 0 . The defin dence on initial condidepen ive sensit nent provides a meth od for calculating tions without directly applying the definition. ). The definition of a Deno te the Liapu nov expo nent at a point x 0 as A(x 0 x • The Liapunov expo nent Liapunov expo nent depends on the initial condition 0 s during successive iterapoint y nearb measures the exponential stretching of function f, the Liapu nov the of es iterat tions.

9, the equilibrium xis globally asymptotically stable for 1 < r < 3. 5688, and so on. 5688, there is a stable 16-cycle, and so on. 570, there are stable cycles of increasing period 211 and the range of their stability gets smaller. 570, a cycle of period 3 exists and there exists what is referred to as aperiodic solutions or chaotic solutions. 9. 1, there is a 2-cycle. 828, there is a 3-cycle. 6 2. 8 1 In the next two sections, we discuss various types of changes in behavior that can occur at bifurcation values.

Tue stability of the 2-cycle is ary · · Coro. asym locally is e 2-cycl the We leave it as an exerci se to show that ates illustr _2·2 e Figur 6). cise (Exer 5/4' > ble if 3/4 < r < 5/4 and unstab le if r verto easy ~is 5/~. < r y = f(f(x) ) = r _ (r _ x2)2 and y ~ ~when 3j4 < 111111 1 for J - 1, 2. her mg local asymp assess m tant not appea r in the linear appro ximat ion are impor -1 = f'(x) uire or '(-) _ 1 . -there are e some .. totic stability. In the cases wh ere f x i q r They x. 4-26 P_P· (see th third- order deriva tive and the Schw arzian denva tive these of s at10n .

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