Learn on PengiOpenStax Algebra and TrigonometryChapter 10: Further Applications of Trigonometry

Lesson 10.8: Vectors

In this Grade 7 math lesson from OpenStax Algebra and Trigonometry, students explore vectors as directed line segments, learning key concepts including magnitude, direction, standard position, and component form. Building on trigonometry foundations from Chapter 10, students practice vector addition, scalar multiplication, unit vectors, and the dot product using i and j notation. Real-world applications such as calculating an airplane's ground speed and bearing show how vector operations apply outside the classroom.

Section 1

πŸ“˜ Vectors

New Concept

This lesson introduces vectorsβ€”quantities with both magnitude and direction. You will learn to represent them geometrically, perform algebraic operations, and use their components to solve problems involving forces and motion, like calculating a plane's ground speed.

What’s next

Coming up, you'll tackle interactive examples and practice cards to master vector operations and their real-world applications.

Section 2

A Geometric View of Vectors

Property

A vector is a directed line segment with an initial point and a terminal point. Vectors are identified by magnitude, or the length of the line, and direction, represented by the arrowhead pointing toward the terminal point. The position vector has an initial point at (0,0)(0,0) and is identified by its terminal point (a,b)(a, b). If the initial point of a vector CDβ†’\overrightarrow{CD} is C(x1,y1)C(x_1, y_1) and the terminal point is D(x2,y2)D(x_2, y_2), then the position vector is found by calculating ABβ†’=(x2βˆ’x1,y2βˆ’y1)=(a,b)\overrightarrow{AB} = (x_2 - x_1, y_2 - y_1) = (a, b).

Examples

  • For a vector with initial point P(1,2)P(1, 2) and terminal point Q(5,5)Q(5, 5), the position vector is v=(5βˆ’1,5βˆ’2)=(4,3)\mathbf{v} = (5 - 1, 5 - 2) = (4, 3).
  • For a vector with initial point A(βˆ’2,3)A(-2, 3) and terminal point B(1,βˆ’1)B(1, -1), the position vector is v=(1βˆ’(βˆ’2),βˆ’1βˆ’3)=(3,βˆ’4)\mathbf{v} = (1 - (-2), -1 - 3) = (3, -4).

Section 3

Finding Magnitude and Direction

Property

Given a position vector v=(a,b)\mathbf{v} = (a, b), the magnitude is found by ∣v∣=a2+b2|\mathbf{v}| = \sqrt{a^2 + b^2}. The direction is equal to the angle formed with the xx-axis, or with the yy-axis, depending on the application. For a position vector, the direction is found by tan⁑θ=baβ€…β€ŠβŸΉβ€…β€ŠΞΈ=tanβ‘βˆ’1(ba)\tan \theta = \frac{b}{a} \implies \theta = \tan^{-1}\left(\frac{b}{a}\right).

Examples

  • For v=(3,4)\mathbf{v} = (3, 4), the magnitude is ∣v∣=32+42=5|\mathbf{v}| = \sqrt{3^2 + 4^2} = 5. The direction is ΞΈ=tanβ‘βˆ’1(43)β‰ˆ53.1∘\theta = \tan^{-1}(\frac{4}{3}) \approx 53.1^\circ.
  • For u=(βˆ’5,12)\mathbf{u} = (-5, 12), the magnitude is ∣u∣=(βˆ’5)2+122=13|\mathbf{u}| = \sqrt{(-5)^2 + 12^2} = 13. The direction is in the second quadrant, so ΞΈ=tanβ‘βˆ’1(12βˆ’5)+180βˆ˜β‰ˆ112.6∘\theta = \tan^{-1}(\frac{12}{-5}) + 180^\circ \approx 112.6^\circ.

Section 4

Vector Addition and Scalar Multiplication

Property

The sum of two vectors u\mathbf{u} and v\mathbf{v}, or vector addition, produces a third vector u+v\mathbf{u} + \mathbf{v}, the resultant vector. To find u+v\mathbf{u} + \mathbf{v} where u=(a,b)\mathbf{u}=(a,b) and v=(c,d)\mathbf{v}=(c,d), we calculate (a+c,b+d)(a+c, b+d).
Scalar multiplication involves the product of a vector and a scalar, kk. Each component of the vector is multiplied by the scalar: kv=(ka,kb)k\mathbf{v} = (ka, kb).

Examples

  • Given u=(1,6)\mathbf{u} = (1, 6) and v=(βˆ’3,2)\mathbf{v} = (-3, 2), their sum is u+v=(1+(βˆ’3),6+2)=(βˆ’2,8)\mathbf{u} + \mathbf{v} = (1 + (-3), 6 + 2) = (-2, 8).
  • Given v=(4,βˆ’5)\mathbf{v} = (4, -5), multiplying by the scalar k=2k=2 gives 2v=(2β‹…4,2β‹…(βˆ’5))=(8,βˆ’10)2\mathbf{v} = (2 \cdot 4, 2 \cdot (-5)) = (8, -10).

Section 5

Finding a Unit Vector

Property

If v\mathbf{v} is a nonzero vector, then v∣v∣\frac{\mathbf{v}}{|\mathbf{v}|} is a unit vector in the direction of v\mathbf{v}. Any vector divided by its magnitude is a unit vector. The horizontal unit vector is written as i=(1,0)\mathbf{i} = (1, 0) and is directed along the positive horizontal axis. The vertical unit vector is written as j=(0,1)\mathbf{j} = (0, 1) and is directed along the positive vertical axis.

Examples

  • Find the unit vector for v=(5,βˆ’12)\mathbf{v} = (5, -12). First, find the magnitude: ∣v∣=52+(βˆ’12)2=13|\mathbf{v}| = \sqrt{5^2 + (-12)^2} = 13. The unit vector is u=(513,βˆ’1213)\mathbf{u} = (\frac{5}{13}, -\frac{12}{13}).
  • Find the unit vector for w=(βˆ’7,24)\mathbf{w} = (-7, 24). The magnitude is ∣w∣=(βˆ’7)2+242=25|\mathbf{w}| = \sqrt{(-7)^2 + 24^2} = 25. The unit vector is u=(βˆ’725,2425)\mathbf{u} = (-\frac{7}{25}, \frac{24}{25}).

Section 6

Operations in i and j Form

Property

Given a vector v\mathbf{v} with initial point P=(x1,y1)P = (x_1, y_1) and terminal point Q=(x2,y2)Q = (x_2, y_2), v\mathbf{v} is written as v=(x2βˆ’x1)i+(y2βˆ’y1)j\mathbf{v} = (x_2 - x_1)\mathbf{i} + (y_2 - y_1)\mathbf{j}. Given v=ai+bj\mathbf{v} = a\mathbf{i} + b\mathbf{j} and u=ci+dj\mathbf{u} = c\mathbf{i} + d\mathbf{j}, then v+u=(a+c)i+(b+d)j\mathbf{v} + \mathbf{u} = (a + c)\mathbf{i} + (b + d)\mathbf{j} and vβˆ’u=(aβˆ’c)i+(bβˆ’d)j\mathbf{v} - \mathbf{u} = (a - c)\mathbf{i} + (b - d)\mathbf{j}.

Examples

  • Given v=2i+5j\mathbf{v} = 2\mathbf{i} + 5\mathbf{j} and u=4iβˆ’2j\mathbf{u} = 4\mathbf{i} - 2\mathbf{j}, their sum is v+u=(2+4)i+(5βˆ’2)j=6i+3j\mathbf{v} + \mathbf{u} = (2+4)\mathbf{i} + (5-2)\mathbf{j} = 6\mathbf{i} + 3\mathbf{j}.
  • Given v=βˆ’i+3j\mathbf{v} = -\mathbf{i} + 3\mathbf{j} and u=2i+7j\mathbf{u} = 2\mathbf{i} + 7\mathbf{j}, their difference is vβˆ’u=(βˆ’1βˆ’2)i+(3βˆ’7)j=βˆ’3iβˆ’4j\mathbf{v} - \mathbf{u} = (-1-2)\mathbf{i} + (3-7)\mathbf{j} = -3\mathbf{i} - 4\mathbf{j}.

Section 7

Finding the Dot Product

Property

The dot product of two vectors v=(a,b)\mathbf{v} = (a, b) and u=(c,d)\mathbf{u} = (c, d) is the sum of the product of the horizontal components and the product of the vertical components. The formula is vβ‹…u=ac+bd\mathbf{v} \cdot \mathbf{u} = ac + bd. To find the angle ΞΈ\theta between the two vectors, use the formula cos⁑θ=vβ‹…u∣v∣∣u∣\cos \theta = \frac{\mathbf{v} \cdot \mathbf{u}}{|\mathbf{v}| |\mathbf{u}|}.

Examples

  • Find the dot product of v=(3,5)\mathbf{v} = (3, 5) and u=(2,βˆ’4)\mathbf{u} = (2, -4). vβ‹…u=(3)(2)+(5)(βˆ’4)=6βˆ’20=βˆ’14\mathbf{v} \cdot \mathbf{u} = (3)(2) + (5)(-4) = 6 - 20 = -14.
  • Find the dot product of a=7iβˆ’2j\mathbf{a} = 7\mathbf{i} - 2\mathbf{j} and b=i+3j\mathbf{b} = \mathbf{i} + 3\mathbf{j}. aβ‹…b=(7)(1)+(βˆ’2)(3)=7βˆ’6=1\mathbf{a} \cdot \mathbf{b} = (7)(1) + (-2)(3) = 7 - 6 = 1.

Book overview

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Chapter 10: Further Applications of Trigonometry

  1. Lesson 1

    Lesson 10.1 : Non-right Triangles: Law of Sines

  2. Lesson 2

    Lesson 10.2 : Non-right Triangles: Law of Cosines

  3. Lesson 3

    Lesson 10.3 : Polar Coordinates

  4. Lesson 4

    Lesson 10.4 : Polar Coordinates: Graphs

  5. Lesson 5

    Lesson 10.5 : Polar Form of Complex Numbers

  6. Lesson 6

    Lesson 10.6 : Parametric Equations

  7. Lesson 7

    Lesson 10.7 : Parametric Equations: Graphs

  8. Lesson 8Current

    Lesson 10.8: Vectors

Lesson overview

Expand to review the lesson summary and core properties.

Expand

Section 1

πŸ“˜ Vectors

New Concept

This lesson introduces vectorsβ€”quantities with both magnitude and direction. You will learn to represent them geometrically, perform algebraic operations, and use their components to solve problems involving forces and motion, like calculating a plane's ground speed.

What’s next

Coming up, you'll tackle interactive examples and practice cards to master vector operations and their real-world applications.

Section 2

A Geometric View of Vectors

Property

A vector is a directed line segment with an initial point and a terminal point. Vectors are identified by magnitude, or the length of the line, and direction, represented by the arrowhead pointing toward the terminal point. The position vector has an initial point at (0,0)(0,0) and is identified by its terminal point (a,b)(a, b). If the initial point of a vector CDβ†’\overrightarrow{CD} is C(x1,y1)C(x_1, y_1) and the terminal point is D(x2,y2)D(x_2, y_2), then the position vector is found by calculating ABβ†’=(x2βˆ’x1,y2βˆ’y1)=(a,b)\overrightarrow{AB} = (x_2 - x_1, y_2 - y_1) = (a, b).

Examples

  • For a vector with initial point P(1,2)P(1, 2) and terminal point Q(5,5)Q(5, 5), the position vector is v=(5βˆ’1,5βˆ’2)=(4,3)\mathbf{v} = (5 - 1, 5 - 2) = (4, 3).
  • For a vector with initial point A(βˆ’2,3)A(-2, 3) and terminal point B(1,βˆ’1)B(1, -1), the position vector is v=(1βˆ’(βˆ’2),βˆ’1βˆ’3)=(3,βˆ’4)\mathbf{v} = (1 - (-2), -1 - 3) = (3, -4).

Section 3

Finding Magnitude and Direction

Property

Given a position vector v=(a,b)\mathbf{v} = (a, b), the magnitude is found by ∣v∣=a2+b2|\mathbf{v}| = \sqrt{a^2 + b^2}. The direction is equal to the angle formed with the xx-axis, or with the yy-axis, depending on the application. For a position vector, the direction is found by tan⁑θ=baβ€…β€ŠβŸΉβ€…β€ŠΞΈ=tanβ‘βˆ’1(ba)\tan \theta = \frac{b}{a} \implies \theta = \tan^{-1}\left(\frac{b}{a}\right).

Examples

  • For v=(3,4)\mathbf{v} = (3, 4), the magnitude is ∣v∣=32+42=5|\mathbf{v}| = \sqrt{3^2 + 4^2} = 5. The direction is ΞΈ=tanβ‘βˆ’1(43)β‰ˆ53.1∘\theta = \tan^{-1}(\frac{4}{3}) \approx 53.1^\circ.
  • For u=(βˆ’5,12)\mathbf{u} = (-5, 12), the magnitude is ∣u∣=(βˆ’5)2+122=13|\mathbf{u}| = \sqrt{(-5)^2 + 12^2} = 13. The direction is in the second quadrant, so ΞΈ=tanβ‘βˆ’1(12βˆ’5)+180βˆ˜β‰ˆ112.6∘\theta = \tan^{-1}(\frac{12}{-5}) + 180^\circ \approx 112.6^\circ.

Section 4

Vector Addition and Scalar Multiplication

Property

The sum of two vectors u\mathbf{u} and v\mathbf{v}, or vector addition, produces a third vector u+v\mathbf{u} + \mathbf{v}, the resultant vector. To find u+v\mathbf{u} + \mathbf{v} where u=(a,b)\mathbf{u}=(a,b) and v=(c,d)\mathbf{v}=(c,d), we calculate (a+c,b+d)(a+c, b+d).
Scalar multiplication involves the product of a vector and a scalar, kk. Each component of the vector is multiplied by the scalar: kv=(ka,kb)k\mathbf{v} = (ka, kb).

Examples

  • Given u=(1,6)\mathbf{u} = (1, 6) and v=(βˆ’3,2)\mathbf{v} = (-3, 2), their sum is u+v=(1+(βˆ’3),6+2)=(βˆ’2,8)\mathbf{u} + \mathbf{v} = (1 + (-3), 6 + 2) = (-2, 8).
  • Given v=(4,βˆ’5)\mathbf{v} = (4, -5), multiplying by the scalar k=2k=2 gives 2v=(2β‹…4,2β‹…(βˆ’5))=(8,βˆ’10)2\mathbf{v} = (2 \cdot 4, 2 \cdot (-5)) = (8, -10).

Section 5

Finding a Unit Vector

Property

If v\mathbf{v} is a nonzero vector, then v∣v∣\frac{\mathbf{v}}{|\mathbf{v}|} is a unit vector in the direction of v\mathbf{v}. Any vector divided by its magnitude is a unit vector. The horizontal unit vector is written as i=(1,0)\mathbf{i} = (1, 0) and is directed along the positive horizontal axis. The vertical unit vector is written as j=(0,1)\mathbf{j} = (0, 1) and is directed along the positive vertical axis.

Examples

  • Find the unit vector for v=(5,βˆ’12)\mathbf{v} = (5, -12). First, find the magnitude: ∣v∣=52+(βˆ’12)2=13|\mathbf{v}| = \sqrt{5^2 + (-12)^2} = 13. The unit vector is u=(513,βˆ’1213)\mathbf{u} = (\frac{5}{13}, -\frac{12}{13}).
  • Find the unit vector for w=(βˆ’7,24)\mathbf{w} = (-7, 24). The magnitude is ∣w∣=(βˆ’7)2+242=25|\mathbf{w}| = \sqrt{(-7)^2 + 24^2} = 25. The unit vector is u=(βˆ’725,2425)\mathbf{u} = (-\frac{7}{25}, \frac{24}{25}).

Section 6

Operations in i and j Form

Property

Given a vector v\mathbf{v} with initial point P=(x1,y1)P = (x_1, y_1) and terminal point Q=(x2,y2)Q = (x_2, y_2), v\mathbf{v} is written as v=(x2βˆ’x1)i+(y2βˆ’y1)j\mathbf{v} = (x_2 - x_1)\mathbf{i} + (y_2 - y_1)\mathbf{j}. Given v=ai+bj\mathbf{v} = a\mathbf{i} + b\mathbf{j} and u=ci+dj\mathbf{u} = c\mathbf{i} + d\mathbf{j}, then v+u=(a+c)i+(b+d)j\mathbf{v} + \mathbf{u} = (a + c)\mathbf{i} + (b + d)\mathbf{j} and vβˆ’u=(aβˆ’c)i+(bβˆ’d)j\mathbf{v} - \mathbf{u} = (a - c)\mathbf{i} + (b - d)\mathbf{j}.

Examples

  • Given v=2i+5j\mathbf{v} = 2\mathbf{i} + 5\mathbf{j} and u=4iβˆ’2j\mathbf{u} = 4\mathbf{i} - 2\mathbf{j}, their sum is v+u=(2+4)i+(5βˆ’2)j=6i+3j\mathbf{v} + \mathbf{u} = (2+4)\mathbf{i} + (5-2)\mathbf{j} = 6\mathbf{i} + 3\mathbf{j}.
  • Given v=βˆ’i+3j\mathbf{v} = -\mathbf{i} + 3\mathbf{j} and u=2i+7j\mathbf{u} = 2\mathbf{i} + 7\mathbf{j}, their difference is vβˆ’u=(βˆ’1βˆ’2)i+(3βˆ’7)j=βˆ’3iβˆ’4j\mathbf{v} - \mathbf{u} = (-1-2)\mathbf{i} + (3-7)\mathbf{j} = -3\mathbf{i} - 4\mathbf{j}.

Section 7

Finding the Dot Product

Property

The dot product of two vectors v=(a,b)\mathbf{v} = (a, b) and u=(c,d)\mathbf{u} = (c, d) is the sum of the product of the horizontal components and the product of the vertical components. The formula is vβ‹…u=ac+bd\mathbf{v} \cdot \mathbf{u} = ac + bd. To find the angle ΞΈ\theta between the two vectors, use the formula cos⁑θ=vβ‹…u∣v∣∣u∣\cos \theta = \frac{\mathbf{v} \cdot \mathbf{u}}{|\mathbf{v}| |\mathbf{u}|}.

Examples

  • Find the dot product of v=(3,5)\mathbf{v} = (3, 5) and u=(2,βˆ’4)\mathbf{u} = (2, -4). vβ‹…u=(3)(2)+(5)(βˆ’4)=6βˆ’20=βˆ’14\mathbf{v} \cdot \mathbf{u} = (3)(2) + (5)(-4) = 6 - 20 = -14.
  • Find the dot product of a=7iβˆ’2j\mathbf{a} = 7\mathbf{i} - 2\mathbf{j} and b=i+3j\mathbf{b} = \mathbf{i} + 3\mathbf{j}. aβ‹…b=(7)(1)+(βˆ’2)(3)=7βˆ’6=1\mathbf{a} \cdot \mathbf{b} = (7)(1) + (-2)(3) = 7 - 6 = 1.

Book overview

Jump across lessons in the current chapter without opening the full course modal.

Continue this chapter

Chapter 10: Further Applications of Trigonometry

  1. Lesson 1

    Lesson 10.1 : Non-right Triangles: Law of Sines

  2. Lesson 2

    Lesson 10.2 : Non-right Triangles: Law of Cosines

  3. Lesson 3

    Lesson 10.3 : Polar Coordinates

  4. Lesson 4

    Lesson 10.4 : Polar Coordinates: Graphs

  5. Lesson 5

    Lesson 10.5 : Polar Form of Complex Numbers

  6. Lesson 6

    Lesson 10.6 : Parametric Equations

  7. Lesson 7

    Lesson 10.7 : Parametric Equations: Graphs

  8. Lesson 8Current

    Lesson 10.8: Vectors