Lecture – 06 Applications of First Order Des(Growth and Decay) Applications of First Order Differential Equations In order to translate a physical phenomenon in terms of mathematics, we strive for a set of equations that describe the system adequately. This set of equations is called a Model for the phenomenon. The basic steps in building such a model consist of the following steps: Step 1: We clearly state the assumptions on which the model will be based. These assumptions should describe the relationships among the quantities to be studied. Step 2: Completely describe the parameters and variables to be used in the model. Step 3: Use the assumptions (from Step 1) to derive mathematical equations relating the parameters and variables (from Step 2). The mathematical models for physical phenomenon often lead to a differential equation or a set of differential equations. The applications of the differential equations we will discuss in next two lectures include: Population dynamics. Radioactive decay. Carbon dating. Newton’s Law of cooling. Orthogonal Trajectories. etc. 1 Lecture – 06 Applications of First Order Des(Growth and Decay) Population Dynamics Some natural questions related to population problems are the following: What will the population of a certain country after e.g. ten years? How are we protecting the resources from extinction? The easiest population dynamics model is the exponential model. This model is based on the assumption: The rate of change of the population is proportional to the existing population. If P (t ) measures the population of a species at any time mentioned assumption we can write t then because of the above dP kP dt where the rate k is constant of proportionality. Clearly the above equation is linear as well as separable. To solve this equation we multiply the equation with the integrating factor e kt to obtain d kt Pe 0 dt Integrating both sides we obtain P e kt C or P C e kt If P0 is the initial population then P(0) P0 . So that C P0 and obtain P(t ) P0 e kt Clearly, we must have k 0 for growth and k 0 for the decay. 2 Lecture – 06 Applications of First Order Des(Growth and Decay) Illustration Example: The population of a certain community is known to increase at a rate proportional to the number of people present at any time. The population has doubled in 5 years, how long would it take to triple?. If it is known that the population of the community is 10,000 after 3 years. What was the initial population? What will be the population in 30 years? Solution: Suppose that time P0 is initial population of the community and P (t ) the population at any t then the population growth is governed by the differential equation dP kP dt As we know solution of the differential equation is given by P(t ) P0 e kt Since P(5) 2 P0 . Therefore, from the last equation we have 2P0 P0 e5k e5k 2 This means that 5k ln 2 0.69315 or k 0.69315 0.13863 5 Therefore, the solution of the equation becomes P(t ) P0 e0.13863 t If t1 is the time taken for the population to triple then 3P0 P0 e t1 0.1386t1 e 0.1386t1 3 ln 3 7.9265 8 years 0.1386 Now using the information P(3) 10,000 , we obtain from the solution that 10,000 P0 e (0.13863 )(3) P0 10,000 e 0.41589 Therefore, the initial population of the community was 3 Lecture – 06 Applications of First Order Des(Growth and Decay) P0 6598 Hence solution of the model is P(t ) 6598 e 0.13863 t So that the population in 30 years is given by P(30) 6598e (30)(0.13863 ) 6598e 4.1589 P30 659864.0011 or P30 422279 or Radioactive Decay In physics a radioactive substance disintegrates or transmutes into the atoms of another element. Many radioactive materials disintegrate at a rate proportional to the amount present. Therefore, if A(t ) is the amount of a radioactive substance present at time t , then the rate of change of A(t ) with respect to time t is given by dA kA dt where k is a constant of proportionality. Let the initial amount of the material be A0 then A(0) A0 . As discussed in the population growth model the solution of the differential equation is A(t ) A0 e kt The constant k can be determined using half-life of the radioactive material. The half-life of a radioactive substance is the time it takes for one-half of the atoms in an initial amount A0 to disintegrate or transmute into atoms of another element. The halflife measures stability of a radioactive substance. The longer the half-life of a substance, the more stable it is. If T denotes the half-life then A(T ) A0 2 Therefore, using this condition and the solution of the model we obtain A0 A0 e kt 2 So that kT ln 2 4 Lecture – 06 Applications of First Order Des(Growth and Decay) Therefore, if we know T , we can get k and vice-versa. The half-life of some important radioactive materials is given in many textbooks of Physics and Chemistry. For example the half-life of C 14 is 5568 30 years. Example: A radioactive isotope has a half-life of 16 days. We have 30 g at the end of 30 days. How much radioisotope was initially present? Solution: Let A(t ) be the amount present at time t and A0 the initial amount of the isotope. Then we have to solve the initial value problem. dA kA, dt A(30) 30 We know that the solution of the IVP is given by A(t ) A0 e kt If T the half-life then the constant is given kT ln 2 Now using the condition k or k by ln 2 ln 2 T 16 A(30) 30 , we have 30 A0e30k So that the initial amount is given by 30 ln 2 A0 30e 30k 30e 16 110.04 g Example: A breeder reactor converts the relatively stable uranium 238 into the isotope plutonium 239. After 15 years it is determined that 0.043% of the initial amount A0 of the plutonium has disintegrated. Find the half-life of this isotope if the rate of disintegration is proportional to the amount remaining. Solution: Let A(t ) denotes the amount remaining at any time t , then we need to find solution to the initial value problem dA kA, dt A(0) A0 which we know is given by 5 Lecture – 06 Applications of First Order Des(Growth and Decay) A(t ) A0 e kt If 0.043% disintegration of the atoms of A0 means that 99.957% of the substance remains. Further 99.957% of A0 equals (0.99957) A0 . So that A(15) 0.99957 A0 So that A0 e15k 0.99957 A0 15k ln( 0.99957) ln( 0.99957) 0.00002867 15 A(t ) A0 e 0.00002867 t k Or Hence If T denotes the half-life then A(T ) A0 . Thus 2 A0 A0e 0.00002867 T 2 1 e 0.00002867 T 2 1 0.00002867 T ln ln 2 2 T or ln 2 24,180 years 0.00002867 6
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