Projective Plane ... Cox et al - Section 8.1, Exs 5(a) & 5(b)

In summary, the method for transforming algebraic curves in the Euclidean plane to the Projective plane involves writing out the equation and finding the degree of each term, multiplying each term by ##z^{M-d}## where M is the highest degree and d is the degree of the term, and then setting a nonzero constant for x in order to solve for y and z. It is important to understand the meaning of "tangent to" in the context of the projective plane in order to complete this process.
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Homework Statement



I am reading the undergraduate introduction to algebraic geometry entitled "Ideals, Varieties and Algorithms: An introduction to Computational Algebraic Geometry and Commutative Algebra (Third Edition) by David Cox, John Little and Donal O'Shea ... ...

I am currently focused on Chapter 8, Section 1: The Projective Plane ... ... and need help getting started with Exercises 5(a) and 5(b) ... ...Exercise 5 in Section 8.1 reads as follows:

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Can someone please help me to get started on Exercises 5(a) and 5(b) shown above ...

2. Homework Equations


The definitions 1, 2 and 3 in Cox et al Section 8.1 may be relevant ... see the text provided below ...
...

The Attempt at a Solution


[/B]
I am very unsure how to start on this exercise ... but i suspect that the following transformation or map as given in Cox et al Section 8.1 directly after Definition 3 is involved:

##\mathbb{R}^2 \longrightarrow \mathbb{P}^2 ( \mathbb{R} ) ##

where ##(x, y) \in \mathbb{R}^2## is sent to the point ##p \in \mathbb{P}^2 ( \mathbb{R} )## whose homogeneous coordinates are ##(x, y, 1)##Hope someone can help ...

Peter

======================================================================To give readers of the above post some idea of the context of the exercise and also the notation I am providing some relevant text from Cox et al ... ... as follows:
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I can have a go at (a).
We want the equation to be compatible with the equation ##y=x^2## and we also want it to give a well-defined curve, which means it must be homogeneous in x,y and z.

A simple equation that satisfies both those is ##yz=x^2##. Then for ##z=1## this gives the original equation. Any point in ##\mathbb R^2## with nonzero ##z## is the same as a point with ##z=1##. The only other points are those with ##z=0##, which are at infinity. For such points we will also have, courtesy of the equation, ##x=0##. So the set of points on the curve at infinity are those on the y-axis in ##\mathbb R^2##. This comprises two equivalence classes: [(0,0,0)] and [(0,1,0)]. So there are two points at infinity, which sounds like what we would want for a parabola (which answers part (b)).

So far so good. I haven't thought about c or d yet.
 
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  • #3
andrewkirk said:
I can have a go at (a).
We want the equation to be compatible with the equation ##y=x^2## and we also want it to give a well-defined curve, which means it must be homogeneous in x,y and z.

A simple equation that satisfies both those is ##yz=x^2##. Then for ##z=1## this gives the original equation. Any point in ##\mathbb R^2## with nonzero ##z## is the same as a point with ##z=1##. The only other points are those with ##z=0##, which are at infinity. For such points we will also have, courtesy of the equation, ##x=0##. So the set of points on the curve at infinity are those on the y-axis in ##\mathbb R^2##. This comprises two equivalence classes: [(0,0,0)] and [(0,1,0)]. So there are two points at infinity, which sounds like what we would want for a parabola (which answers part (b)).

So far so good. I haven't thought about c or d yet.

Thanks for the help Andrew ... but ... your solution seems to have been achieved with some good insight ...

Is there a method or process for transforming curves in ##\mathbb{R}^2## to curves in ##\mathbb{P}^2 ( \mathbb{R} )##?

Thanks again ...

Peter

P.S. if you have any ideas about parts (c) and (d) please let me know ...
 
  • #4
I don't know of any general method but, for curves whose equations are polynomial in x and y, the method is easy enough. You just write out the equation and find the degree of each term, which is the exponent for x plus the exponent for y. Let M be the highest such degree in the equation. Then, to make the equation homogeneous, we multiply each term by ##z^{M-d}## where ##d## is the degree of the term. We then have an equation that is homogeneous - hence making a well-defined curve in the projective plane - and which also involves ##z##.

There are a couple of examples of this technique in the author's discussion following Proposition 4.

(d) is easy. Just set ##x## equal to any nonzero constant, such as 1. The equation then becomes ##yz=1##, which is the classic hyperbola equation.

To do (c) we'd need to understand what the author means by 'tangent to' in the context of a projective plane. Do you know what he means by that?
 
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  • #5
andrewkirk said:
I don't know of any general method but, for curves whose equations are polynomial in x and y, the method is easy enough. You just write out the equation and find the degree of each term, which is the exponent for x plus the exponent for y. Let M be the highest such degree in the equation. Then, to make the equation homogeneous, we multiply each term by ##z^{M-d}## where ##d## is the degree of the term. We then have an equation that is homogeneous - hence making a well-defined curve in the projective plane - and which also involves ##z##.

There are a couple of examples of this technique in the author's discussion following Proposition 4.

(d) is easy. Just set ##x## equal to any nonzero constant, such as 1. The equation then becomes ##yz=1##, which is the classic hyperbola equation.

To do (c) we'd need to understand what the author means by 'tangent to' in the context of a projective plane. Do you know what he means by that?
Thanks Andrew ...

By the way, your approach seems to be a general method to extend algebraic curves in the Euclidean plane to the Projective plane ... the book: "Conics and Cubics: A Concrete Introduction to Algebraic Curves"by Robert Bix outlines the method as follows:
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Related to Projective Plane ... Cox et al - Section 8.1, Exs 5(a) & 5(b)

1. What is a projective plane?

A projective plane is a mathematical concept used in geometry and topology. It is a two-dimensional surface that satisfies certain properties, including the idea that any two distinct lines intersect at exactly one point.

2. How is a projective plane different from a Euclidean plane?

A projective plane differs from a Euclidean plane in that it contains points at infinity, which are not present in a Euclidean plane. This allows for certain geometric properties, such as parallel lines intersecting at infinity, that are not possible in a Euclidean plane.

3. What are some real-world applications of projective planes?

Projective planes have a variety of applications, including in computer graphics, computer vision, and coding theory. They can also be used to study spherical surfaces and provide a way to visualize infinity in mathematics.

4. How are projective planes constructed?

There are several ways to construct a projective plane, including using axioms and properties, projective geometry, and projective spaces. The process involves defining points, lines, and other geometric objects and their relationships to create a two-dimensional surface that satisfies the properties of a projective plane.

5. What is the significance of the Cox et al. Projective Plane?

The Cox et al. Projective Plane, also known as the Fano plane, is a specific example of a projective plane that has seven points and seven lines. It is significant because it is the smallest non-Desarguesian projective plane, meaning it does not satisfy certain properties found in larger projective planes. It also has connections to other areas of mathematics, such as finite geometry and coding theory.

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