10 cards · Example

Vector Dot Product & Geometric Projections

Master algebraic formulas, cosine angles, orthogonal vectors, scalar projections, and Cauchy-Schwarz bounds.

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Cards (10)
#1
Term
What is the algebraic formula for the dot product of 2D vectors and ?
Definition

The sum of the products of corresponding coordinate components. The dot product yields a scalar, not a vector.
#2
Term
What is the geometric formula for the dot product of vectors and ?
Definition

Where is the angle between the two vectors ().
#3
Term
What does it mean if the dot product of two non-zero vectors is zero: ?
Definition
The vectors are orthogonal (perpendicular). Since , .
#4
Term
What is the dot product of a vector with itself: ?
Definition

The dot product of a vector with itself equals the square of its Euclidean length (magnitude).
#5
Term
What is the formula for the scalar projection of vector onto vector ?
Definition

The signed length of the orthogonal shadow cast by along the line of .
#6
Term
What is the formula for the orthogonal vector projection of onto ?
Definition

A vector oriented along with length equal to the scalar projection.
#7
Term
State the Cauchy-Schwarz Inequality for vector dot products.
Definition

Equality holds if and only if and are linearly dependent (collinear).
#8
Term
How do you calculate the angle between two non-zero vectors?
Definition
#9
Term
What physical quantity is calculated via the dot product of force and displacement?
Definition
Mechanical Work ():

Only the component of force parallel to the displacement does work.
#10
Term
Is the dot product commutative and distributive?
Definition
  • Commutative:
  • Distributive over addition: