Determine the number of triple points in a net of homogeneous polynomials on the projective line using first principles | Step-by-Step Solution
Problem
Triple points of a net on Projective Line. Calculate number of points where a net of degree 1 homogeneous polynomials vanishes to order ≥ 3.
🎯 What You'll Learn
- Understand triple point calculations in algebraic geometry
- Apply first principles to geometric problem solving
- Develop computational algebraic geometry skills
Prerequisites: Projective geometry, Homogeneous coordinates, Advanced linear algebra
💡 Quick Summary
Hi there! This is a fascinating problem that combines algebraic geometry concepts with constraint counting. I'd encourage you to start by thinking about what it actually means for a polynomial to have a "triple point" - what conditions must the polynomial and its derivatives satisfy at such a point? Then consider the degrees of freedom you're working with: how many parameters does a general degree 1 homogeneous polynomial have, and how many constraint equations are you imposing when you require triple vanishing? Here's a key question to guide your thinking: can a degree 1 polynomial (which is just a linear function) actually satisfy all the derivative conditions needed for a triple point, or do the constraints become incompatible? Try working through the vanishing conditions systematically and see what happens when you apply them to the simplest case of linear polynomials.
Step-by-Step Explanation
Understanding Triple Points in a Net on the Projective Line
What We're Solving: We need to find how many points on the projective line P¹ have the property that ALL polynomials in our net vanish to order at least 3 at those points. A net is a 3-dimensional family of polynomials, and we're looking for their common "triple points."
The Approach: We'll use the fact that a net gives us exactly the right number of constraints to determine isolated points, then count them using intersection theory and Bézout's theorem.
Step-by-Step Solution:
Step 1: Set up the problem systematically
- A net of degree d homogeneous polynomials on P¹ is a 3-dimensional linear system
- Each polynomial can be written as F(x,y) = Σaᵢxⁱy^(d-i) where i goes from 0 to d
- For degree 1: F(x,y) = ax + by, so our net is spanned by three linearly independent linear forms
- At a point [x₀:y₀], a polynomial vanishes to order ≥ 3 if the polynomial, its first derivative, AND its second derivative all vanish there
- For degree 1 polynomials, this creates a contradiction! Here's why:
- A degree 1 polynomial F(x,y) = ax + by has derivative F'(x,y) = a (with respect to the affine coordinate x/y)
- If F vanishes to order ≥ 3, then F = 0, F' = 0, which means a = 0
- This forces F(x,y) = by, so F can only vanish at the single point [1:0]
- But then F doesn't vanish to order 3 there—it vanishes to order exactly 1!
- For a polynomial to vanish to order ≥ 3 at a point, we need 3 conditions
- Our net is 3-dimensional, so these 3 conditions should generically determine isolated points
- However, degree 1 polynomials simply don't have enough "flexibility" to satisfy such strong vanishing conditions
The Answer: The number of triple points is 0.
A net of degree 1 homogeneous polynomials on the projective line has no points where all polynomials in the net vanish to order ≥ 3.
Memory Tip: Remember that "low degree, high vanishing order" typically leads to contradictions! Degree 1 polynomials are too "simple" to have triple points. You need at least degree 3 polynomials to even have the possibility of triple points, since you need enough coefficients to satisfy all the vanishing conditions.
This problem beautifully illustrates how geometric constraints interact with the algebraic degrees of freedom available in your polynomial family!
⚠️ Common Mistakes to Avoid
- Misunderstanding projective coordinate definitions
- Incorrectly calculating vanishing orders
- Overlooking edge cases in coordinate representations
This explanation was generated by AI. While we work hard to be accurate, mistakes can happen! Always double-check important answers with your teacher or textbook.

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📷 Problem detected:
Solve: 2x + 5 = 13
Step 1:
Subtract 5 from both sides...
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