Introduction
When a conic section is rotated, an term appears in the equation. To analyze such conics, we rotate the coordinate system to eliminate this term.
Prerequisite Connection
You can graph and analyze all four conic sections in standard position.
Today's Increment
We learn the rotation formulas, the discriminant test, and how to identify rotated conics.
Why This Matters
Real-world conics are rarely axis-aligned. Learning rotation helps analyze any orientation.
The xy Term and Rotation
General Second-Degree Equation
When , the conic is rotated
Rotation Formulas
These convert from rotated (x', y') to original (x, y) coordinates
Rotation Angle to Eliminate xy
or equivalently:
Discriminant Test (Identifies Conic Type)
- • : Ellipse (or circle if and )
- • : Parabola
- • : Hyperbola
Interactive: Rotating a Conic
Gray dashed: original ellipse | Blue: rotated by 45°
Key Insight
The discriminant is invariant under rotation. No matter how you rotate the axes, this value stays the same—so it always correctly identifies the conic type.
Worked Examples
Example 1: Identifying a Rotated Conic
Identify the conic:
Step 1: Identify A, B, C
, ,
Step 2: Calculate discriminant
Solution
Since , this is a hyperbola.
Example 2: Finding the Rotation Angle
Find the angle needed to eliminate the xy term in .
Step 1: Identify coefficients
, ,
Step 2: Apply rotation formula
Step 3: Solve for θ
means , so .
Solution
Rotate the axes by 45° to eliminate the xy term.
Example 3: Classifying Multiple Conics
Classify each conic using the discriminant:
(a)
→ Hyperbola
(b)
→ Parabola
(c)
→ Ellipse
Common Pitfalls
Forgetting the coefficient of xy
In , the coefficient , not 1. Read carefully!
Using θ instead of 2θ
The formula gives . Don't forget to divide by 2 when finding θ.
Confusing discriminant signs
Negative discriminant → Ellipse (closed curve). Positive → Hyperbola (two branches).
Real-World Application
Computer Graphics and Image Processing
When cameras capture images at an angle, circles become ellipses. Understanding rotation helps correct these distortions and recognize shapes regardless of orientation.
The rotation formulas are used extensively in 3D graphics to transform objects and in machine learning for pattern recognition—the math of alignment!
Practice Quiz
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