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  1. MATH 221 { 1st SEMESTER CALCULUS LECTURE NOTES VERSION 2.0 (fall 2009) This is a self contained set of lecture notes for Math 221. The notes were written by Sigurd Angenent, starting from an extensive collection of notes and problems compiled by Joel Robbin. The LATEX and Python les

  2. From population growth and continuously compounded interest to radioactive decay and Newton’s law of cooling, exponential functions are ubiquitous in nature. In this section, we examine exponential growth and decay in the context of some of these applications.

  3. Calculus 140, section 4.4 Exponential Growth & Decay. notes by Tim Pilachowski. Example A: Given. kt f ( t ) = C e , show that. f ′ ( t ) = k ∗ f ( t ) . Example A revisited: Given f continuous on [0, ∞) and f ′ ( t ) = k ∗ f (. kt t ) for t ≥ 0, show that f ( t ) = f ( 0 ) ∗ e for. t ≥ 0. Example A revisited is Theorem 4.8 in ...

  4. Section 3.4 Exponential Growth and Decay. Many natural systems grow or decay over time. For example, population, radioactivity, cooling, heating, chemical reactions, and money. Let y = f (t) some function that represents the number of something with respect to time.

  5. A basic equation in many one-sector growth models for a closed economy in continuous time is. ̇ = = − − ≡ − (4.1) where is aggregate capital, aggregate gross investment, aggregate output, aggregate consumption, aggregate gross saving (≡ − ), and. 57.

  6. 1) For population growth, we have ( )P t P ekt = 0, where P(t) is the population after time = t, P 0 is the initial population, e is Euler’s number, and k is called the growth constant. 2) For decay (radioactive and otherwise), we have ( )P t = P e −λt 0, where P(t) is the amount remaining after time = t, P

  7. An important part of learning calculus is to see different ways of producing new functions from old. Then we follow the rules for the growth rate. Suppose the new function is not produced from known functions (2x is not produced from 2x or x2). Then we have to find its growth rate directly.

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