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Practice vocabulary flashcards covering vector operations, dot products, cross products, and their geometric applications from the test review notes.
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Angle Between Two Vectors
The angle φ between two vectors aˉ=(a1,a2,a3) and bˉ=(b1,b2,b3), computed using the inverse cosine of their dot product divided by the product of their magnitudes: φ=arccos(∣aˉ∣∣bˉ∣aˉ⋅bˉ).
Cosine of the Angle Between Vectors
The cosine of the angle α between vectors aˉ=(a1,a2,a3) and bˉ=(b1,b2,b3), given by the ratio of their dot product to the product of their magnitudes: cos(α)=∣aˉ∣∣bˉ∣aˉ⋅bˉ.
Vector Product (Cross Product)
An operation on two three-dimensional vectors aˉ=(a1,a2,a3) and bˉ=(b1,b2,b3) evaluated using the formal determinant: aˉ×bˉ=iˉa1b1jˉa2b2kˉa3b3.
Anticommutativity of the Cross Product
A fundamental algebraic property of the vector cross product where reversing the order of the vector operands yields the opposite vector: aˉ×bˉ=−(bˉ×aˉ).
Distributivity of the Cross Product
The property that the vector cross product distributes across vector addition: aˉ×(bˉ+cˉ)=aˉ×bˉ+aˉ×cˉ and (aˉ+bˉ)×cˉ=aˉ×cˉ+bˉ×cˉ.
Scalar Product (Dot Product)
An algebraic operation between two vectors aˉ=(a1,a2,a3) and bˉ=(b1,b2,b3) calculated by summing the products of their corresponding components: aˉ⋅bˉ=a1b1+a2b2+a3b3.
Cross Product Applications: Geometric Areas
Geometric uses of the cross product magnitude to find the area of a parallelogram spanned by two vectors, T□=∣aˉ×bˉ∣, and the area of a triangle, T△=2∣aˉ×bˉ∣.
Orthogonality Condition of Vectors
An application of the scalar dot product establishing that two vectors aˉ and bˉ are perpendicular if and only if their scalar product is zero: aˉ⊥bˉ⟺aˉ⋅bˉ=0.
Area of a Parallelogram Spanned by Vectors
The surface area of a parallelogram spanned by vectors aˉ=(a1,a2,a3) and bˉ=(b1,b2,b3), calculated as the magnitude of their cross product: T□=∣aˉ×bˉ∣.