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Exercise 10.3 · Q12

Q.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}?

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If a⃗⋅a⃗=0\vec{a} \cdot \vec{a} = 0, then a⃗\vec{a} is the zero vector. Since a⃗⋅b⃗=0\vec{a} \cdot \vec{b} = 0 holds for any b⃗\vec{b} when a⃗=0⃗\vec{a} = \vec{0}, we conclude that b⃗\vec{b} can be any vector (no restriction).


The key here is to read the conditions carefully — they look like two separate dot product equations, but the first one is actually a statement about the vector a⃗\vec{a} itself.

Why the first condition is special.

The dot product of a vector with itself gives the square of its magnitude:

a⃗⋅a⃗=∣a⃗∣2\vec{a} \cdot \vec{a} = |\vec{a}|^2.

If this equals zero, then ∣a⃗∣2=0|\vec{a}|^2 = 0, which forces ∣a⃗∣=0|\vec{a}| = 0. The only vector with zero magnitude is the zero vector. So a⃗=0⃗\vec{a} = \vec{0}.

Watch out

A common mistake is to treat a⃗⋅a⃗=0\vec{a} \cdot \vec{a} = 0 as just another equation like a⃗⋅b⃗=0\vec{a} \cdot \vec{b} = 0, and then try to conclude something about b⃗\vec{b} being perpendicular to a⃗\vec{a}. But a⃗⋅a⃗=0\vec{a} \cdot \vec{a} = 0 is not a perpendicularity condition — it’s a magnitude condition. It tells you a⃗\vec{a} itself is zero.

Now the second condition.

If a⃗=0⃗\vec{a} = \vec{0}, then a⃗⋅b⃗=0⃗⋅b⃗=0\vec{a} \cdot \vec{b} = \vec{0} \cdot \vec{b} = 0 is automatically true for any vector b⃗\vec{b}. There is no restriction on b⃗\vec{b} at all. …

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