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in full sight of the harbour as they say in shipping language: ##y = e^{3\log x}## should remind you of something like ##e^{ab} = e^{ba}##Witcher said:I got stuck
Yes, because you don't need to isolate t. As has already been explained, ##e^{3t} = (e^t)^3##, so you can write y in terms of x, getting rid of the parameter t.Witcher said:You can keep “e^t” and isolate t without using logrithms?
Hello, @Witcher . I see that you've been a member for a couple of months, but why not give you a welcome?Witcher said:Homework Statement:: I haven’t done logs in a few month and let alone with parametric graphs. I am having trouble with this problem. #35
Homework Equations:: X=e^t, y=e^3t
I got stuck when i eliminated the parameter.
As I mentioned, the path you started down was fine. It makes sense to work with the logarithm rules you may currently be studying and/or those rules you are most familiar with.Witcher said:I get it now but it wasn’t easy, my instinct was to Ln both sides when i seen the e.
Thanks.
A parametric natural log graph is a type of graph that plots a logarithmic function against a parameter. In other words, both the x and y axes are determined by a single variable, rather than just the x-axis in a traditional graph. It is commonly used in scientific and mathematical analysis to show the relationship between two variables on a logarithmic scale.
To create a parametric natural log graph, you will first need to determine the logarithmic function that you want to plot. Then, choose a range of values for your parameter and calculate the corresponding x and y values for each point on the graph. Finally, plot these points on a graph with a logarithmic scale for the y-axis.
One of the main advantages of using a parametric natural log graph is that it allows you to easily visualize and analyze the relationship between two variables on a logarithmic scale. This can be especially useful when dealing with large ranges of values, as it allows for better comparison and identification of patterns.
A parametric natural log graph is best used when representing data that follows a logarithmic relationship. This can include data that exhibits exponential growth or decay, such as population growth, disease spread, or radioactive decay. It can also be useful for representing data with a large range of values, as mentioned previously.
While parametric natural log graphs are commonly used in scientific and mathematical analysis, they can also be used for non-scientific data. For example, they can be used to plot financial data, such as stock prices, that may follow a logarithmic pattern. However, it is important to ensure that a logarithmic relationship actually exists in the data before using this type of graph.