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Chapter 10 · Vector Algebra

Exercise 10.3 · Q12: a⃗⋅a⃗=0\vec a\cdot\vec a=0 and a⃗⋅b⃗=0\vec a\cdot\vec b=0⁠: what about b⃗\vec b⁠?

Exercise 10.3Scalar product of a vector with itself, the zero vector · Section 10.6.1
The question

If a⃗⋅a⃗=0\vec a\cdot\vec a = 0 and a⃗⋅b⃗=0\vec a\cdot\vec b = 0⁠, then what can be concluded about the vector b⃗\vec b⁠?

Exam answer

a⃗⋅a⃗=0⇒∣a⃗∣2=0⇒∣a⃗∣=0\vec a\cdot\vec a = 0 \Rightarrow |\vec a|^2 = 0 \Rightarrow |\vec a| = 0⁠.

So a⃗\vec a is the zero vector: a⃗=0⃗\vec a = \vec 0⁠.

For a⃗=0⃗\vec a = \vec 0⁠, a⃗⋅b⃗=0\vec a\cdot\vec b = 0 for every vector b⃗\vec b⁠, so the second condition puts no restriction on b⃗\vec b⁠.

∴ b⃗\therefore\ \vec b can be any vector.

Want the reason behind every step, the basics and the checks?

The one idea this problem is built on

A vector dotted with itself gives the square of its length: a⃗⋅a⃗=∣a⃗∣2\vec a\cdot\vec a = |\vec a|^2⁠. So a⃗⋅a⃗=0\vec a\cdot\vec a = 0 forces a⃗=0⃗\vec a = \vec 0⁠. And the zero vector has scalar product 0 with every vector, so a⃗⋅b⃗=0\vec a\cdot\vec b = 0 then tells us nothing about b⃗\vec b⁠.

Given, to find, and the plan
Given
a⃗⋅a⃗=0\vec a\cdot\vec a = 0 and a⃗⋅b⃗=0\vec a\cdot\vec b = 0⁠.
To find
What these conditions say about b⃗\vec b⁠.
Plan
(1) Turn a⃗⋅a⃗\vec a\cdot\vec a into ∣a⃗∣2|\vec a|^2⁠. (2) Deduce a⃗=0⃗\vec a = \vec 0⁠. (3) See that 0⃗⋅b⃗=0\vec 0\cdot\vec b = 0 for every b⃗\vec b⁠. (4) Test with examples.

Basics you need

1A vector dotted with itself

a⃗⋅a⃗=∣a⃗∣2\vec a\cdot\vec a = |\vec a|^2 (Section 10.6.1, Observation 3); in components a12+a22+a32a_1^2 + a_2^2 + a_3^2⁠. Basics: use Pythagoras twice

2The zero vector

The only vector of magnitude 0 is 0⃗\vec 0 (Section 10.3), and the book defines a⃗⋅b⃗=0\vec a\cdot\vec b = 0 whenever a⃗=0⃗\vec a = \vec 0 or b⃗=0⃗\vec b = \vec 0 (Section 10.6.1). Lesson: six kinds of vectors

3What a zero scalar product means

For nonzero vectors only, a⃗⋅b⃗=0\vec a\cdot\vec b = 0 means a⃗⊥b⃗\vec a \perp \vec b (Section 10.6.1, Observation 2). Lesson: the dot product

Solution

  1. Read a⃗⋅a⃗\vec a\cdot\vec a as a length

    a⃗⋅a⃗=∣a⃗∣2=0  ⇒  ∣a⃗∣=0.\vec a\cdot\vec a = |\vec a|^2 = 0 \;\Rightarrow\; |\vec a| = 0.
    If a⃗≠0⃗\vec a \ne \vec 0⁠, the angle between a⃗\vec a and itself is 0 and cos⁡0=1\cos 0 = 1⁠, so a⃗⋅a⃗=∣a⃗∣∣a⃗∣cos⁡0=∣a⃗∣2\vec a\cdot\vec a = |\vec a||\vec a|\cos 0 = |\vec a|^2⁠. If a⃗=0⃗\vec a = \vec 0⁠, both sides are 0 (the book defines the scalar product with a zero vector as 0). So a⃗⋅a⃗=∣a⃗∣2\vec a\cdot\vec a = |\vec a|^2 for every vector, and a square is 0 only when the number itself is 0.
    Section 10.6.1, Observation 3. Basics: use Pythagoras twice
  2. So a⃗\vec a is the zero vector

    In components, ∣a⃗∣2=a12+a22+a32=0|\vec a|^2 = a_1^2 + a_2^2 + a_3^2 = 0⁠. A sum of squares of real numbers is 0 only if each one is 0, so a1=a2=a3=0a_1 = a_2 = a_3 = 0 and

    a⃗=0i^+0j^+0k^=0⃗.\vec a = 0\hat i + 0\hat j + 0\hat k = \vec 0.
    Each square is at least 0, so if one of them were positive the sum would be positive. A vector whose length is 0 has its initial and terminal points together: it is the zero vector.
    ∣a⃗∣=a12+a22+a32|\vec a| = \sqrt{a_1^2 + a_2^2 + a_3^2} (Section 10.5.1); zero vector (Section 10.3). Lesson: six kinds of vectors
  3. The second condition holds for every b⃗\vec b

    For any b⃗=b1i^+b2j^+b3k^\vec b = b_1\hat i + b_2\hat j + b_3\hat k⁠,

    0⃗⋅b⃗=0⋅b1+0⋅b2+0⋅b3=0.\vec 0\cdot\vec b = 0\cdot b_1 + 0\cdot b_2 + 0\cdot b_3 = 0.

    So once a⃗=0⃗\vec a = \vec 0⁠, the condition a⃗⋅b⃗=0\vec a\cdot\vec b = 0 is true whatever b⃗\vec b is. Nothing can be concluded about b⃗\vec b⁠: b⃗\vec b can be any vector.

    The book defines the scalar product with a zero vector to be 0 (the angle is not defined there), and the component formula agrees. A condition that every vector satisfies gives no information.
    Definition of a⃗⋅b⃗\vec a\cdot\vec b when a⃗=0⃗\vec a = \vec 0 (Section 10.6.1). Lesson: the dot product
  4. Test with examples

    With a⃗=0⃗\vec a = \vec 0⁠: b⃗=0⃗\vec b = \vec 0⁠, b⃗=i^\vec b = \hat i and b⃗=2i^−3j^+5k^\vec b = 2\hat i - 3\hat j + 5\hat k all give a⃗⋅b⃗=0\vec a\cdot\vec b = 0⁠. They point in different directions and have different lengths, so no property of b⃗\vec b is forced.

    If instead a⃗\vec a were nonzero, a⃗⋅b⃗=0\vec a\cdot\vec b = 0 would force b⃗\vec b to be 0⃗\vec 0 or perpendicular to a⃗\vec a⁠. The first condition rules that case out: here a⃗\vec a has no direction for b⃗\vec b to be perpendicular to.
    Section 10.6.1, Observation 2 (nonzero vectors only). See also Exercise 10.3 Q14.
Result

a⃗⋅a⃗=0\vec a\cdot\vec a = 0 gives a⃗=0⃗\vec a = \vec 0⁠, and then a⃗⋅b⃗=0\vec a\cdot\vec b = 0 for every b⃗\vec b⁠. So nothing can be concluded about b⃗\vec b⁠: it can be any vector.

(Textbook answer: vector b⃗\vec b can be any vector.)

Check it with numbers

a⃗=0⃗\vec a = \vec 0⁠, b⃗=2i^−3j^+5k^\vec b = 2\hat i - 3\hat j + 5\hat k⁠: a⃗⋅a⃗=0\vec a\cdot\vec a = 0 and a⃗⋅b⃗=0(2)+0(−3)+0(5)=0\vec a\cdot\vec b = 0(2) + 0(-3) + 0(5) = 0⁠. Both conditions hold.

Even a very short nonzero vector fails the first condition: a⃗=0.01i^\vec a = 0.01\hat i gives a⃗⋅a⃗=0.012=0.0001\vec a\cdot\vec a = 0.01^2 = 0.0001⁠, which is not 0. Only 0⃗\vec 0 passes.

Common mistakes
  1. Concluding b⃗=0⃗\vec b = \vec 0⁠. b⃗=i^\vec b = \hat i satisfies both conditions with a⃗=0⃗\vec a = \vec 0⁠.
  2. Concluding b⃗⊥a⃗\vec b \perp \vec a⁠. "Zero scalar product means perpendicular" is only for nonzero vectors; here a⃗=0⃗\vec a = \vec 0⁠.
  3. Thinking a⃗⋅a⃗=0\vec a\cdot\vec a = 0 allows a nonzero a⃗\vec a⁠. A nonzero vector cannot be perpendicular to itself: a⃗⋅a⃗=∣a⃗∣2>0\vec a\cdot\vec a = |\vec a|^2 > 0⁠.
What to take away
  1. a⃗⋅a⃗=∣a⃗∣2\vec a\cdot\vec a = |\vec a|^2⁠, so a⃗⋅a⃗=0\vec a\cdot\vec a = 0 exactly when a⃗=0⃗\vec a = \vec 0⁠.
  2. 0⃗⋅b⃗=0\vec 0\cdot\vec b = 0 for every b⃗\vec b⁠.
  3. Check that the vectors are nonzero before reading a⃗⋅b⃗=0\vec a\cdot\vec b = 0 as "perpendicular".

Every fact used, and where it comes from

FactUsed inSource
a⃗⋅a⃗=∣a⃗∣2\vec a\cdot\vec a = |\vec a|^2Step 1Section 10.6.1, Observation 3 (Basics: use Pythagoras twice)
∣a⃗∣=a12+a22+a32|\vec a| = \sqrt{a_1^2 + a_2^2 + a_3^2}Step 2Section 10.5.1
Zero vector: initial and terminal points coincideStep 2Section 10.3 (Lesson: six kinds of vectors)
a⃗⋅b⃗=0\vec a\cdot\vec b = 0 when a⃗=0⃗\vec a = \vec 0 (definition); component formulaStep 3, CheckSection 10.6.1 (Lesson: the dot product)
Nonzero vectors: scalar product 0 exactly when perpendicularStep 4Section 10.6.1, Observation 2
The answerResultNCERT answer key, Exercise 10.3 Q12 (Lesson: the dot product exercises)
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