Linear Algebra: Scalars and Vectors
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Questions and Answers

What defines a scalar in the context of linear algebra?

  • A single value, such as 7 or -4 (correct)
  • A quantity represented by an arrow in space
  • A single variable with both magnitude and direction
  • A mathematical object that can only be added to another scalar
  • What is a key characteristic of vectors as described in the physics way?

  • They consist of only one element or variable.
  • They cannot be represented graphically.
  • They possess both magnitude and direction. (correct)
  • They are quantities that can be only multiplied by scalars.
  • In linear algebra, which statement about vector addition is true?

  • Vectors can be added only if they are of different sizes.
  • Vectors cannot be multiplied together.
  • Vector addition is always commutative. (correct)
  • Vector addition is reversible but not associative.
  • Which of the following best describes the mathematical representation of vector addition?

    <p>Adding two vectors results in another vector of the same kind.</p> Signup and view all the answers

    What is a characteristic of vectors that distinguishes them from scalars?

    <p>Vectors are geometric objects with both magnitude and direction.</p> Signup and view all the answers

    Which mathematical property is illustrated by the equation 𝒓 + 𝒔 = 𝒔 + 𝒓?

    <p>Commutative property</p> Signup and view all the answers

    In the context of vectors, what does the associative property imply?

    <p>The grouping of vectors does not change the result of their addition.</p> Signup and view all the answers

    Which statement correctly identifies how vectors can be manipulated mathematically?

    <p>Vectors can be multiplied by scalars to produce another vector.</p> Signup and view all the answers

    What is the result of the dot product of vectors a=(2,3,1) and b=(4,−1,2)?

    <p>7</p> Signup and view all the answers

    What geometric interpretation does a dot product greater than zero signify?

    <p>Angle between vectors is acute.</p> Signup and view all the answers

    Which property of the dot product states that r.s = s.r?

    <p>Commutative property</p> Signup and view all the answers

    Which situation describes vectors being orthogonal?

    <p>Dot product equals zero.</p> Signup and view all the answers

    What does the equation cos(θ) = a⋅b / |a||b| help to calculate?

    <p>Angle between two vectors.</p> Signup and view all the answers

    What dimensional requirement exists for the vectors when calculating the dot product?

    <p>Vectors must be of equal dimensions.</p> Signup and view all the answers

    When calculating the modulus of a vector, r.r results in which expression?

    <p>|r|^2</p> Signup and view all the answers

    Which application does the dot product NOT relate to?

    <p>Finding volume of a shape.</p> Signup and view all the answers

    What is the result of adding the vectors (2, 2, 0) and (3, 3, 0)?

    <p>(5, 5, 0)</p> Signup and view all the answers

    How can a vector be scaled by a scalar $oldsymbol{oldsymbol{ ho}}$?

    <p>Multiply each element by $ ho$</p> Signup and view all the answers

    Which of the following defines a vector space?

    <p>A set of vectors formed by scaling and adding any two vectors</p> Signup and view all the answers

    If a polynomial is represented as a vector, what happens when two polynomials are added?

    <p>A third polynomial is generated</p> Signup and view all the answers

    Which statement about vector dimensions is accurate?

    <p>A vector can be represented as a single dimension in addition to others</p> Signup and view all the answers

    What is the modulus of a vector?

    <p>The length or magnitude of the vector</p> Signup and view all the answers

    Given the vector $oldsymbol{r} = (3, 5, -3)$, what is $−oldsymbol{r}$?

    <p>(−3, -5, 3)</p> Signup and view all the answers

    In data science, which example best illustrates the features included in a vector?

    <p>Each feature can represent multiple attributes of a dataset</p> Signup and view all the answers

    What is the modulus of the vector represented by the components 3 and 4?

    <p>$5$</p> Signup and view all the answers

    In a multidimensional vector, how is the modulus calculated?

    <p>Using the formula $\sqrt{a_1^2 + a_2^2 + ... + a_n^2}$</p> Signup and view all the answers

    What is a unit vector?

    <p>A vector with a modulus equal to 1</p> Signup and view all the answers

    What does the equation $c^2 = a^2 + b^2 - 2ab , cos \theta$ represent?

    <p>The cosine rule in a triangle</p> Signup and view all the answers

    Why is normalizing a vector useful?

    <p>It simplifies the vector to unit length</p> Signup and view all the answers

    If the angle $ heta$ between two vectors is 0°, what is the relationship between their dot product and magnitudes?

    <p>The dot product equals the product of their magnitudes</p> Signup and view all the answers

    What value does the dot product of two orthogonal vectors yield?

    <p>0</p> Signup and view all the answers

    Which statement about the dot product is true?

    <p>It is the sum of the products of components in the same dimension</p> Signup and view all the answers

    For the equation $|\mathbf{r} - \mathbf{s}|^2 = |\mathbf{r}|^2 + |\mathbf{s}|^2 - 2 \mathbf{r} \mathbf{s} , cos \theta$, how is $ heta$ related to the vectors?

    <p>It is the angle between the vectors r and s</p> Signup and view all the answers

    If vector a has components (0, 5) and vector b has components (3, 4), which of the following is true?

    <p>|a + b| ≤ |a| + |b|</p> Signup and view all the answers

    What happens to the dot product of two vectors if they are pointing in opposite directions?

    <p>The dot product becomes negative</p> Signup and view all the answers

    What is the result of normalizing a vector (4, 3)?

    <p>(0.8, 0.6)</p> Signup and view all the answers

    Given two vectors with magnitudes $|a| = \sqrt{29}$ and $|b| = \sqrt{14}$, if their dot product is 5, what is the cosine of the angle between them?

    <p>$\frac{5}{\sqrt{406}}$</p> Signup and view all the answers

    Which inequality represents the relationship between the modulus of a sum of vectors and the sum of their moduli?

    <p>|a + b| ≤ |a| + |b|</p> Signup and view all the answers

    What is the result when calculating $r \cdot s$ if $ heta = 90°$?

    <p>It equals zero</p> Signup and view all the answers

    What is a necessary condition for two vectors $ extbf{r}$ and $ extbf{s}$ to satisfy the relationship $\mathbf{r} \mathbf{s} \cos \theta = \mathbf{r} \cdot \mathbf{s}$?

    <p>They can be any vectors</p> Signup and view all the answers

    Study Notes

    Linear Algebra

    • Linear algebra studies vectors and the rules that we need to manipulate these vectors
    • Algebra is a set of symbols and rules that formalise concepts

    Scalars

    • A scalar is a single value, denoted by x
    • Examples of scalars are 7, -4, and 1/3

    Vectors

    • Vectors are quantities that can be added together and multiplied by scalars to produce another object of the same kind.
    • Two vectors can be added together 𝒓 + 𝒔 = 𝒕, where 𝒕 is another vector.
    • Vectors that are added must have the same number of elements, also called size.

    Vectors: Physics Perspective

    • Vectors are arrows pointing in space
    • Vectors have magnitude and direction

    Vectors: Maths Perspective

    • Vectors can be added together graphically
    • Adding vectors is commutative: 𝒓 + 𝒔 = 𝒔 + 𝒓
    • Adding vectors is associative: 𝒓+𝒔 +𝒕 = 𝒓+ 𝒔+𝒕
    • The additive inverse of a vector is 𝒓 + −𝒓 = 𝟎
    • Vectors can be scaled by a number, 𝜆∈ℝ, where 𝜆 is the scalar: 𝜆𝒙, 𝟑𝒓, −𝒓
    • To scale a vector, multiply each element by the scalar.

    Vectors: Data Science Perspective

    • Vectors are ordered lists of numbers
    • Vectors are tuples of 𝑛 real numbers arranged in a row or column, 𝒙 or 𝑥Ԧ
    • A row vector is 5 −2 8
    • A column vector is 9 1 7 -3
    • Each element of a vector represents a feature or dimension.

    Vector Space

    • The set of vectors that we get by scaling and/or adding any two vectors is called the vector space.

    Vector Modulus

    • The modulus of a vector is its magnitude.
    • The modulus of vector 3 4 is √(3^2)+(4^2) = 5
    • The modulus of a vector 𝒓 = 𝑎𝑖Ƹ + 𝑏𝒋Ƹ is √(𝑎^2)+(𝑏^2)

    Vector Modulus: Multidimensional Vectors

    • The modulus of a vector that has more than 2 dimensions, 𝒓 = 𝑎1 ⋮ 𝑎𝑛, is √(𝑎1^2) + ⋯ + (𝑎𝑛^2)

    The Unit Vector

    • A unit vector has a modulus of 1
    • Normalize a vector by dividing all the vector elements by the vector modulus.

    The Dot Product (Inner Product or Projection Product)

    • The dot product of vectors 𝒓 and 𝒔 is denoted by 𝒓.𝒔 and is given by 𝒓𝑁 𝒔 = σ𝑁 𝑖=1 𝑟𝑖 𝑠𝑖
    • The dot product is the sum of the products of the values in the same dimension.
    • If 𝒓.𝒔 > 0 then the angle between the vectors is acute (< 90°), the vectors point roughly in the same direction.
    • If 𝒓.𝒔 = 0 then the vectors are orthogonal (perpendicular, 90° angle) and are independent in direction.
    • If 𝒓.𝒔 < 0 then the angle between the vectors is obtuse (> 90°), the vectors point roughly in opposite directions.

    Dot Product: Properties

    • The dot product can only be applied on vectors of equal dimensions
    • The dot product always returns a scalar.
    • The dot product is commutative: 𝒓.𝒔 = 𝒔.𝒓
    • The dot product is distributive over addition: 𝒓.𝒔 + 𝒕 = 𝒓.𝒔 + 𝒓.𝒕
    • The dot product is associative over scalar multiplication: 𝒓.𝑎𝒕 = 𝑎(𝒓.𝒕)

    Dot Product: Calculating Vector Modulus

    • 𝒓.𝒓 = 𝑟1 𝑟1 + 𝑟2 𝑟2 = 𝑟1 2 + 𝑟2 2 = 2 𝑟1 2 + 𝑟2 2 = |𝒓|2
    • Therefore, 𝒓.𝒓 = | 𝒓 |

    Dot Product: Cosine Rule

    • |𝒓 − 𝒔|2 = |𝒓|2 + |𝒔|2 − 2 𝒓 𝒔 cos 𝜃
    • 𝒓.𝒔 cos 𝜃 = 𝒓.𝒔

    Dot Product: Further Insights

    • If 𝜃 = 0° then 𝒓.𝒔 = 𝒓 |𝒔|
    • If 𝜃 = 90° then 𝒓.𝒔 = 0, the vectors are orthogonal
    • If vectors point in opposite directions then 𝒓.𝒔 = − 𝒓 |𝒔|

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    Week 1 Scalars & Vectors PDF

    Description

    This quiz covers the foundational concepts of linear algebra, focusing on scalars and vectors. Understand the definitions, operations, and properties that govern these elements in both mathematics and physics. Test your knowledge on vector addition, scaling, and their graphical representations.

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