MAT188 Week 1-2: Vectors, Sets, Lines and Planes

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Vocabulary flashcards covering core linear algebra definitions for MAT188 Week 1-2.

Last updated 2:38 AM on 9/17/26
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23 Terms

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Vector

A directed line segment starting from a point PP and ending at a point QQ, which represents the displacement from PP to QQ.

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Standard Position

The position of a vector when it is represented by an arrow starting from the origin.

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Position Vector

The vector x⃗=(x1x2)\vec{x} = \begin{pmatrix} x_1 \\ x_2 \end{pmatrix} represented in standard position whose endpoint is at (x1,x2)(x_1, x_2).

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Euclidean Real Vector Space (Rn\mathbb{R}^n)

The collection of all real column vectors with nn components, denoted by Rn={(a1a2⋮an)∣a1,…,an∈R}\mathbb{R}^n = \left\{ \begin{pmatrix} a_1 \\ a_2 \\ \vdots \\ a_n \end{pmatrix} \mid a_1, \dots, a_n \in \mathbb{R} \right\}.

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Real Column Vector

An n×1n \times 1 matrix (v1⋮vn)\begin{pmatrix} v_1 \\ \vdots \\ v_n \end{pmatrix}, where vi∈Rv_i \in \mathbb{R} for 1≤i≤n1 \le i \le n.

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Real Row Vector

A 1×n1 \times n matrix (v1v2…vn)\begin{pmatrix} v_1 & v_2 & \dots & v_n \end{pmatrix}, where vi∈Rv_i \in \mathbb{R} for 1≤i≤n1 \le i \le n.

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Standard Vector (e⃗i\vec{e}_i)

A unit vector in Rm\mathbb{R}^m defined with zeros in all entries except for a 11 in the ii-th entry.

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Vector Addition

An operation on two vectors v⃗\vec{v} and w⃗\vec{w} in Rn\mathbb{R}^n defined componentwise as v⃗+w⃗=(v1+w1⋮vn+wn)\vec{v} + \vec{w} = \begin{pmatrix} v_1 + w_1 \\ \vdots \\ v_n + w_n \end{pmatrix}.

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Scalar Multiplication

An operation multiplying a scalar k∈Rk \in \mathbb{R} and a vector v⃗∈Rn\vec{v} \in \mathbb{R}^n componentwise as kv⃗=(kv1⋮kvn)k\vec{v} = \begin{pmatrix} kv_1 \\ \vdots \\ kv_n \end{pmatrix}.

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Parallel Vectors

Two vectors v⃗\vec{v} and w⃗\vec{w} where one is a scalar multiple of the other (i.e., v⃗=kw⃗\vec{v} = k\vec{w} for some k∈Rk \in \mathbb{R} or w⃗=kv⃗\vec{w} = k\vec{v} for some k∈Rk \in \mathbb{R}).

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Norm (Magnitude or Length)

For a vector v⃗=(v1⋮vn)∈Rn\vec{v} = \begin{pmatrix} v_1 \\ \vdots \\ v_n \end{pmatrix} \in \mathbb{R}^n, the quantity denoted by ∥v⃗∥\|\vec{v}\| and defined as v12+v22+⋯+vn2\sqrt{v_1^2 + v_2^2 + \dots + v_n^2}.

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Dot Product

For vectors v⃗\vec{v} and w⃗\vec{w} with components v1,…,vnv_1, \dots, v_n and w1,…,wnw_1, \dots, w_n, the scalar defined as v⃗⋅w⃗=v1w1+v2w2+⋯+vnwn\vec{v} \cdot \vec{w} = v_1 w_1 + v_2 w_2 + \dots + v_n w_n.

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Angle Between Vectors

Given vectors v⃗\vec{v} and w⃗\vec{w}, the angle defined as arccos⁡(v⃗⋅w⃗∥v⃗∥∥w⃗∥)\arccos\left( \frac{\vec{v} \cdot \vec{w}}{\|\vec{v}\| \|\vec{w}\|} \right).

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Perpendicular (Orthogonal) Vectors

Two vectors v⃗\vec{v} and w⃗\vec{w} whose dot product equals zero (v⃗⋅w⃗=0\vec{v} \cdot \vec{w} = 0).

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Set

A collection of objects, called elements or members of the set.

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Subset

A set AA is a subset of BB (written A⊆BA \subseteq B) if every element a∈Aa \in A is also in BB.

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Equality of Sets

Sets AA and BB are equal (A=BA = B) if A⊆BA \subseteq B and B⊆AB \subseteq A.

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Union of Sets

For subsets AA and BB of XX, the set A∪B={x∈X∣x∈A or x∈B}A \cup B = \{x \in X \mid x \in A \text{ or } x \in B\} containing all elements of AA and BB.

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Intersection of Sets

For subsets AA and BB of XX, the set A∩B={x∈X∣x∈A and x∈B}A \cap B = \{x \in X \mid x \in A \text{ and } x \in B\} containing all common elements between AA and BB.

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Direction Vector

A nonzero vector on a line (with tail and tip on the line) that determines the line's direction.

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Line in Rn\mathbb{R}^n

Any set of the form L={tm⃗+b⃗∣t∈R}L = \{t\vec{m} + \vec{b} \mid t \in \mathbb{R}\}, where b⃗\vec{b} and nonzero m⃗\vec{m} are fixed vectors in Rn\mathbb{R}^n.

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Normal Vector

A nonzero vector n⃗\vec{n} that is perpendicular to a given plane.

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Plane in Rn\mathbb{R}^n

A set of the form P={tm⃗+sn⃗+b⃗∣s,t∈R}P = \{t\vec{m} + s\vec{n} + \vec{b} \mid s, t \in \mathbb{R}\}, where nonzero m⃗\vec{m}, nonzero n⃗\vec{n}, and b⃗\vec{b} are fixed vectors in Rn\mathbb{R}^n, and m⃗\vec{m} and n⃗\vec{n} are not parallel.