Effortlessly Linearize y(x)= a(1-e-bx) with Expert Help

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Homework Help Overview

The discussion revolves around the linearization of the function y(x) = a(1 - e^(-bx)), where a and b are constants. Participants are exploring how to approximate this function linearly, particularly in the context of data collected from a flotation laboratory experiment.

Discussion Character

  • Exploratory, Conceptual clarification, Problem interpretation, Assumption checking

Approaches and Questions Raised

  • Participants discuss the need for specific points at which to linearize the function and consider the implications of choosing different points for approximation. There is mention of using the tangent line as a method for linear approximation and the importance of the range of x values provided in the data.

Discussion Status

The conversation is ongoing, with some participants providing insights into the nature of linearization and suggesting potential points for approximation. There is no explicit consensus on the best approach yet, but various interpretations and methods are being explored.

Contextual Notes

Participants are working with a set of experimental data points that may influence the choice of linearization point. The original poster's request lacks specific details about the desired range for linearization, which has led to questions about assumptions and the context of the problem.

cicleriano
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Hello! how I linearize this function?

y(x)= a(1-e-bx)

a and b are constants
 
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Unfortunately, it seems you do not understand the problem completely, as it only make sense if you offer some points at which to approximate the function. For starters...
 
sorry!
In the flotation laboratory was determined following table of values:

time(min) - %Rec
0 - 0
1 - 45
3 - 72
5 - 80
9 - 88
12 - 91.8
15 - 92​

A mathematical model representing these results is R(t) = Rmax(1-e^-kt). Linearize the function and determine the parameters Rmax and k.
 
To "linearize" a fuction means to approxiate it by a linear function and that can only be done accurately in a limited range. One of the things we should learn in basic Calculus is that the tangent line to a graph gives the best linear approximation to the function in a neighborhood of the given point.

The difficulty is that you can't have a linear function that accurately approximates a function for all x and here you are not saying where you want it approximated. In the list you give, x varies from 0 to 15. It would be easiest to linearize at x= 0 but I would be inclined to use the midpoint x= 7.5.

The derivative of [itex]y=a(1- e^{-bx})[/itex] is [itex]y'= abe^{-bx}[/itex] and at x= 0 that is [itex]ab[/itex]. So your linear approximation, around x= 0, is the line through (0, 0) with slope ab.

But the derivative at x= 7.5 is [itex]abe^{-7.5b}[/itex] so the linearization would be the line through [itex](7.5, a(1- e^{-7.5b}))[/itex] with slope [itex]abe^{-7.5b}[/itex].
 

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