The scalar product (1)

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28 Terms

1
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How is the magnitude of a vector calculated?

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2
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What is a vector with a magnitude of 1 called?

A unit vector

3
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How is the unit vector in the direction of v=ai+bj+ck calculated?

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4
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When are two vectors equal?

If and only if they have the same magnitude and the same direction.

5
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Is vector addition commutative?

Yes

<p>Yes</p>
6
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Is vector addition associative?

Yes

<p>Yes</p>
7
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<p>What happens when a <strong>vector</strong> is multiplied by a<strong> scalar</strong>?</p>

What happens when a vector is multiplied by a scalar?

It results in:

  • A vector in the same direction as the original.

  • A magnitude equal to the product of the magnitudes of the vector and the scalar.

<p>It results in:</p><ul><li><p>A vector in the <strong>same direction</strong> as the original.</p></li><li><p>A magnitude equal to the product of the magnitudes of the vector and the scalar.</p></li></ul><p></p>
8
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What is a position vector?

A vector that describes the displacement of an object from the origin.

9
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<p>What does the parallelogram law of vector addition state?</p>

What does the parallelogram law of vector addition state?

<p></p>
10
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What are basis vectors in 2D?

They are two vectors that can be combined linearly to construct any vector on a 2D plane.

11
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What is the condition for two vectors u and v to serve as basis vectors?

They must not be parallel (or antiparallel).

12
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<p>How can a vector <strong>w</strong> on the 2D plane be expressed using basis vectors <strong>u</strong> and <strong>v</strong>?</p>

How can a vector w on the 2D plane be expressed using basis vectors u and v?

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13
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What is an orthonormal basis set?

A set of basis vectors that:

  • Have unit length (normal)

  • Are mutually orthogonal (perpendicular to each other).

14
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<p>If <strong>𝒘</strong> = 𝑎<strong>𝒖</strong> + 𝑏<strong>v</strong> can the set of<em> </em><strong><em>w</em></strong>, <strong><em>u</em></strong> and <strong><em>v </em></strong>form a basis set in 3D?</p>

If 𝒘 = 𝑎𝒖 + 𝑏v can the set of w, u and v form a basis set in 3D?

  • No, because w, u and v lie on the same plane

  • Therefore their linear combinations can only form vectors on that plane, not in the full 3D volume.

15
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What is required to form a 3D basis set?

A set of three vectors that are not coplanar.

16
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What is the most convenient basis set in 3D?

The orthonormal set of vectors i, j and k also known as the Cartesian coordinates.

17
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What does it mean for a set of vectors to be linearly dependent?

A set of vectors is linearly dependent if any vector in the set can be expressed as a linear combination of the others.

18
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Can a linearly dependent set of vectors form a basis set?

No

<p>No</p>
19
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What does it mean for a set of vectors to be linearly independent?

No vector in the set can be expressed as a linear combination of the others.

20
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Can a linearly independent set of vectors form a basis set?

Yes

<p>Yes</p>
21
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What is the criterion for linear independence in 3D for vectors u, v and w?

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22
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What are the two ways to "multiply" vectors?

  • Scalar (dot) product - gives a scalar.

  • Vector (cross) product - gives a vector.

23
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<p>What is the scalar product (dot product) of two vectors a and b?</p>

What is the scalar product (dot product) of two vectors a and b?

θ= the angle between the two vectors placed tail-to-tail.

<p>θ= the angle between the two vectors placed tail-to-tail.</p>
24
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What does the scalar product represent when b is a unit vector?

It gives the length of the shadow of a in the direction of b.

<p>It gives the length of the shadow of <strong>a</strong> in the direction of <strong>b</strong>.</p>
25
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What does the scalar product represent when b is not a unit vector?

It gives the length of the shadow of a in the direction of b, multiplied by the magnitude of b.

26
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What is the condition for two vectors to be perpendicular using the scalar product?

Two vectors are perpendicular if their scalar product is zero because the angle θ=π/2

<p>Two vectors are perpendicular if their scalar product is zero because the angle θ=π/2</p>
27
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<p>What is the scalar product of a vector with itself?</p>

What is the scalar product of a vector with itself?

since the angle between a vector and itself is θ=0.

<p>since the angle between a vector and itself is θ=0.</p>
28
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What is the formula for the projection of vector b onto vector a?

The projection of b in the direction of a is:

<p>The projection of <strong>b</strong> in the direction of <strong>a</strong> is:</p>