Vector Algebra: Angles, Products, and Applications

0.0(0)
Studied by 0 people
call kaiCall Kai
learnLearn
examPractice Test
spaced repetitionSpaced Repetition
heart puzzleMatch
flashcardsFlashcards
GameKnowt Play
Card Sorting

1/8

flashcard set

Earn XP

Description and Tags

Practice vocabulary flashcards covering vector operations, dot products, cross products, and their geometric applications from the test review notes.

Last updated 11:47 AM on 10/16/26
Name
Mastery
Learn
Test
Matching
Spaced
Call with Kai
Chat

No analytics yet

Send a link to your students to track their progress

9 Terms

1
New cards

Angle Between Two Vectors

The angle φ\varphi between two vectors aˉ=(a1,a2,a3)\bar{a} = (a_1, a_2, a_3) and bˉ=(b1,b2,b3)\bar{b} = (b_1, b_2, b_3), computed using the inverse cosine of their dot product divided by the product of their magnitudes: φ=arccos⁡(aˉ⋅bˉ∣aˉ∣∣bˉ∣)\varphi = \arccos\left(\frac{\bar{a} \cdot \bar{b}}{|\bar{a}| |\bar{b}|}\right).

2
New cards

Cosine of the Angle Between Vectors

The cosine of the angle α\alpha between vectors aˉ=(a1,a2,a3)\bar{a} = (a_1, a_2, a_3) and bˉ=(b1,b2,b3)\bar{b} = (b_1, b_2, b_3), given by the ratio of their dot product to the product of their magnitudes: cos⁡(α)=aˉ⋅bˉ∣aˉ∣∣bˉ∣\cos(\alpha) = \frac{\bar{a} \cdot \bar{b}}{|\bar{a}| |\bar{b}|}.

3
New cards

Vector Product (Cross Product)

An operation on two three-dimensional vectors aˉ=(a1,a2,a3)\bar{a} = (a_1, a_2, a_3) and bˉ=(b1,b2,b3)\bar{b} = (b_1, b_2, b_3) evaluated using the formal determinant: aˉ×bˉ=∣iˉjˉkˉa1a2a3b1b2b3∣\bar{a} \times \bar{b} = \begin{vmatrix} \bar{i} & \bar{j} & \bar{k} \\ a_1 & a_2 & a_3 \\ b_1 & b_2 & b_3 \end{vmatrix}.

4
New cards

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)\bar{a} \times \bar{b} = -(\bar{b} \times \bar{a}).

5
New cards

Distributivity of the Cross Product

The property that the vector cross product distributes across vector addition: aˉ×(bˉ+cˉ)=aˉ×bˉ+aˉ×cˉ\bar{a} \times (\bar{b} + \bar{c}) = \bar{a} \times \bar{b} + \bar{a} \times \bar{c} and (aˉ+bˉ)×cˉ=aˉ×cˉ+bˉ×cˉ(\bar{a} + \bar{b}) \times \bar{c} = \bar{a} \times \bar{c} + \bar{b} \times \bar{c}.

6
New cards

Scalar Product (Dot Product)

An algebraic operation between two vectors aˉ=(a1,a2,a3)\bar{a} = (a_1, a_2, a_3) and bˉ=(b1,b2,b3)\bar{b} = (b_1, b_2, b_3) calculated by summing the products of their corresponding components: aˉ⋅bˉ=a1b1+a2b2+a3b3\bar{a} \cdot \bar{b} = a_1 b_1 + a_2 b_2 + a_3 b_3.

7
New cards

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∣T_{\square} = |\bar{a} \times \bar{b}|, and the area of a triangle, T△=∣aˉ×bˉ∣2T_{\triangle} = \frac{|\bar{a} \times \bar{b}|}{2}.

8
New cards

Orthogonality Condition of Vectors

An application of the scalar dot product establishing that two vectors aˉ\bar{a} and bˉ\bar{b} are perpendicular if and only if their scalar product is zero: aˉ⊥bˉ  ⟺  aˉ⋅bˉ=0\bar{a} \perp \bar{b} \iff \bar{a} \cdot \bar{b} = 0.

9
New cards

Area of a Parallelogram Spanned by Vectors

The surface area of a parallelogram spanned by vectors aˉ=(a1,a2,a3)\bar{a} = (a_1, a_2, a_3) and bˉ=(b1,b2,b3)\bar{b} = (b_1, b_2, b_3), calculated as the magnitude of their cross product: T□=∣aˉ×bˉ∣T_{\square} = |\bar{a} \times \bar{b}|.