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2D Vector Cross Product Calculator

2D Vector Cross Product Formula:

\[ \text{Cross Product} = A_x \times B_y - A_y \times B_x \]

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1. What is 2D Vector Cross Product?

The 2D vector cross product (also called the scalar cross product) is an operation that takes two vectors in 2D space and returns a scalar value representing the "perpendicular" component between them. Unlike the 3D cross product which returns a vector, the 2D version returns a single number.

2. How Does the Calculator Work?

The calculator uses the 2D cross product formula:

\[ \text{Cross Product} = A_x \times B_y - A_y \times B_x \]

Where:

Explanation: The cross product gives the signed area of the parallelogram formed by the two vectors. The sign indicates the relative orientation (clockwise or counterclockwise).

3. Importance of Cross Product

Details: The 2D cross product is useful for determining the orientation of vectors, calculating areas, and in computer graphics for back-face culling and collision detection.

4. Using the Calculator

Tips: Enter the x and y components for both vectors. The calculator will compute the scalar cross product value. Positive results indicate counterclockwise orientation from A to B, negative indicates clockwise.

5. Frequently Asked Questions (FAQ)

Q1: What does the sign of the cross product mean?
A: Positive means vector B is counterclockwise from A, negative means clockwise, and zero means they're parallel.

Q2: How is this different from 3D cross product?
A: The 3D version returns a vector perpendicular to both input vectors, while the 2D version returns a scalar representing the "z-component" of what would be a 3D cross product if the vectors were in the xy-plane.

Q3: What's the geometric interpretation?
A: The absolute value equals the area of the parallelogram formed by the two vectors.

Q4: Can this be used for dot product?
A: No, dot product is a different operation that returns a scalar representing the parallel component.

Q5: What are common applications?
A: Used in computer graphics, physics simulations, and computational geometry for orientation tests and area calculations.

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