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Three of the most common applications of exponential and logarithmic functions have to do with interest earned on an investment, population growth, and carbon dating. Interest When the interest earned on an investment is simple, the investor only earns interest on his initial investment.


Exponential functions are useful in modeling many physical phenomena, such as populations, interest rates, radioactive decay, and the amount of medicine in the bloodstream. An exponential model is of the form A = A 0 (b) t/c where we have: A 0 = the initial amount of whatever is being modelled. t = elapsed time. A = the amount at time, t.

www.shsu.edu/kws006/Precalculus/3.6_Applications_of_Logs_files/S&Z 6.5.pdf

In the examples that follow, note that while the applications are drawn from many di erent disciplines, the mathematics remains essentially the same. Due to the applied nature of the problems we will examine in this section, the calculator is often used to express our answers as decimal approximations. 6.5.1 Applications of Exponential Functions


some examples of exponential functions applications: exponential growth and decay, depreciation, etc.


Consider an exponential equation, 5 x+1 = 5 9. Since the bases on both sides are equal, then. x+1 = 9. x = 8. Standard Form. The standard form to represent the exponential function is as follows. An exponential function with base “b” is given by: f (x) = ab x. Where x is a real number, a ≠ 0, b>0, and b ≠1


Free math problem solver answers your algebra, geometry, trigonometry, calculus, and statistics homework questions with step-by-step explanations, just like a math tutor.


Students will use their knowledge of exponential functions of the form y = a(b)^(x/c) to solve exponential equations. The application problems require students to create a function to model the situation, then solve for either the value of the exponent, or the result of a given value of the exponent.


Applications of logarithmic functions, page 2 Exponential Decay: of a substance is given by the following formula m(t) = m0e¡rt where m(t) = mass remaining after time t m0 = initial mass r = decay rate t = time Its half-life is given by h = ln2 r. PROBLEMS 1. How long will it take for an investment of $2000 to double in value if the inter-


Exponential Equations 1 hr 13 min 17 Examples Properties of Exponents with 10 Examples Rules for Solving Exponential Equations with 7 Examples Graphing Exponential Functions 1 hr 5 min 13 Examples How to Graph Exponential Functions using a Table of Values How to Graph Exponential Functions using Transformations 13 Examples of Graphing Exponential Function and…


The exponential distribution is a probability distribution which represents the time between events in a Poisson process. It is also called negative exponential distribution.It is a continuous probability distribution used to represent the time we need to wait before a given event happens. It is the constant counterpart of the geometric distribution, which is rather discrete.