What Does R3-->R Mean in Function Mapping?

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In summary, the conversation discusses the difficulty with understanding the function f:R3-->R, (x,y,z)|-->xy and how to graph it using level sets. The independent variable is from R3 and the value of the function is in R. The suggestion is to draw different values of C for f(x,y,z)=C and interpret the fourth variable as time. It is also mentioned that the function can be graphed in 2 dimensions by ignoring the z variable.
  • #1
babbagee
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I am having trouble with these problems.

Describe the graph of each function by computing some level sets and sections.

f:R3-->R,(x,y,z)|-->xy

the part that i am having trouble with is R3-->R what does that mean. As for computing the level sets all i do is set xy=to some constant. And then sketch it on the 3d plane.

Thanks.
 
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  • #2
R3->R simply means that the independent variable is from R3 (in other words (x,y,z)) while the value of the function is in R (a single real number).
In this particular case f(x,y,z)= xy. Since there are 4 variables, x, y, z, and the function value, f, in order to "graph" it you would need a 4-dimensional drawing. What you can, in general, do is draw, in 3-dimensions, f(x,y,z)= C for different values of C. You could then interpret the 4th variable as time and imagine the drawings as pages in a flip book (frames in an animation for more modern people).

For example, taking C= 1, xy= C is a hyperbola (strictly speaking a hyperbolic cylinder with axis parallel to the z axis). xy= -1, xy= 2, xy= -2, etc. give different hyperbolic cylinders showing how the system "evolves over time".

This particular problem was probably created to be particularly easy. Since there is no z in the formula, you can actually draw them in a 2 dimensional xy- graph and imagine them extending into and out of the plane of the graph.

(There is, by the way, no such thing as "the 3d plane". Planes are, by definition, 2 dimensional. You probably meant "in 3 dimensions".)
 
  • #3


Level sets and sections are important concepts in understanding the behavior and graph of a function. Let's break down the notation R3-->R to better understand it.

R3 represents a three-dimensional space, where the variables x, y, and z can take on any real value. This is known as the domain of the function.

--> indicates the mapping of the function, where the values from the domain (R3) are mapped to the range (R). In other words, the function takes in three variables (x, y, and z) and outputs a single value in the real number system.

Now, for the function f(x,y,z) = xy, we can visualize its graph in the three-dimensional space by computing its level sets and sections.

Level sets are essentially the "slices" of the function at a constant output value. To compute the level sets, we set the function equal to a constant, say c, and solve for one of the variables. This will give us a two-dimensional curve in the three-dimensional space. For example, if we set xy = 1, we can solve for z to get z = 1/xy. This means that as long as xy = 1, the z-coordinate will be constant at 1/xy. Similarly, we can compute level sets for different values of c and plot them on the three-dimensional graph.

Sections, on the other hand, are the "cuts" of the function at a constant value of one of the variables. For example, if we set z = 0, we can see how the function behaves in the xy-plane, which is a two-dimensional section of the three-dimensional graph. We can also plot sections for different values of x or y to get a better understanding of the function's behavior.

In summary, level sets and sections help us visualize the graph of a function in a three-dimensional space by showing how it behaves at different constant values. I recommend practicing more problems to get a better understanding of these concepts. Good luck!
 

FAQ: What Does R3-->R Mean in Function Mapping?

What is the purpose of using level sets and sections in scientific research?

The use of level sets and sections allows scientists to analyze and visualize data in a three-dimensional space, providing a better understanding of complex systems and phenomena. It also helps in identifying patterns and relationships between variables.

How are level sets and sections different from other data visualization techniques?

Unlike other techniques that focus on two-dimensional representations, level sets and sections allow for a more comprehensive view of data in three dimensions. This is particularly useful in fields such as physics, biology, and engineering.

How are level sets and sections used in computer simulations?

Level sets and sections are commonly used in computer simulations to track the movement and behavior of particles or fluids. They can also be used to visualize the results of simulations and compare them to real-world observations.

Are there any limitations to using level sets and sections in scientific research?

One limitation of level sets and sections is that they can be computationally expensive, particularly when dealing with large and complex datasets. Additionally, they may not be suitable for all types of data and may require specialized software and skills to use effectively.

Can level sets and sections be used in conjunction with other data visualization techniques?

Yes, level sets and sections can be used alongside other techniques such as contour plots, histograms, and scatter plots to provide a more comprehensive understanding of data. This allows for a more in-depth analysis of complex systems and phenomena.

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