A Second Way to Multiply Two Vectors

You already know one. In the previous chapter, on work, energy and power, the scalar product turned two vectors into a number: ab=abcosθ\vec{a}\cdot\vec{b} = ab\cos\theta and work, W=FdW = \vec{F}\cdot\vec{d}, was the first physical quantity built out of it.

This section builds the other one. The vector product — also called the cross product, because of the ×\times sign — takes two vectors and produces a third vector, at right angles to both.

Why bother?

Because rotation needs it. Whether a force makes a door swing depends not only on how hard you push but on where you push and in which direction — and the answer has to carry a sense of rotation, clockwise or anticlockwise, which a plain number cannot express. From Section 5 onwards, every rotational quantity in this chapter is defined as a cross product. This section builds the tool; the physics comes later. Treat it as pure vector algebra and learn it cold.

The definition

Two vectors in a plane with their cross product perpendicular, and the reversed product

Key Point — the vector product: The vector product of a\vec{a} and b\vec{b} is the vector c=a×b\vec{c} = \vec{a}\times\vec{b} defined by:

  1. Magnitude:   c=absinθ\;|\vec{c}| = ab\sin\theta, where aa and bb are the magnitudes and θ\theta is the angle between the two vectors.
  2. Direction:   c\;\vec{c} is perpendicular to the plane containing a\vec{a} and b\vec{b}.
  3. Sense: fixed by the right-hand rule, below.

That still leaves two possible directions — straight up out of the plane, or straight down into it. Rule 3 picks one of them.

The right-hand rule, two ways to say it

The right-hand screw rule. Place a right-handed screw perpendicular to the plane of a\vec{a} and b\vec{b} and turn its head in the sense that carries a\vec{a} round to b\vec{b}. The direction in which the screw advances is the direction of a×b\vec{a}\times\vec{b}.

The curled-fingers rule (easier in an exam). Open your right palm and curl the fingers so that they sweep from a\vec{a} towards b\vec{b}. Your outstretched thumb now points along a×b\vec{a}\times\vec{b}.

Key Point — a warning about the angle: There are always two angles between two vectors, θ\theta and 360°θ360° - \theta. Always take the smaller one, so that 0°θ180°0° \le \theta \le 180° — and therefore sinθ0\sin\theta \ge 0 and the magnitude is never negative. Sweep through that smaller angle when applying either rule too.

Reading the magnitude

The factor sinθ\sin\theta is the whole story:

Angle between a\vec{a} and b\vec{b} sinθ\sin\theta a×b\lvert \vec{a}\times\vec{b} \rvert
0° (parallel) 00 00 — vanishes
30°30° 0.50.5 ab2\dfrac{ab}{2}
90°90° (perpendicular) 11 abab — the largest it can ever be
150°150° 0.50.5 ab2\dfrac{ab}{2}
180°180° (antiparallel) 00 00 — vanishes again

So the cross product measures how non-parallel two vectors are. It is largest when they are at right angles and disappears when they line up — the exact opposite of the scalar product's behaviour, which is why the two are so easy to confuse and so important to keep apart.

[NEET Important] Two one-mark facts that get asked directly: a×b=0\vec{a}\times\vec{b} = 0 for parallel or antiparallel vectors, and a×b|\vec{a}\times\vec{b}| is maximum, equal to abab, when they are perpendicular.

The Properties, and the One That Trips Everybody Up

It is not commutative — order matters

Look at panel (b) of the figure above. To form b×a\vec{b}\times\vec{a} you curl your fingers from b\vec{b} to a\vec{a} — the opposite way round — so your thumb points the opposite way. The magnitude is the same absinθab\sin\theta and the line is the same perpendicular, but the arrow is reversed.

Key Point — anticommutativity: a×b=b×a\boxed{\vec{a}\times\vec{b} = -\,\vec{b}\times\vec{a}} Compare with the scalar product, where ab=ba\vec{a}\cdot\vec{b} = \vec{b}\cdot\vec{a} and the order is irrelevant. Swapping the order of a cross product flips its sign.

[JEE Tip] This is the number one source of lost marks in the whole topic — a torque or an angular momentum that comes out exactly right in size and exactly wrong in direction. Whenever you write a cross product, write the two vectors in the order the definition demands and do not "tidy them up".

The cross product of a vector with itself is zero

Put b=a\vec{b} = \vec{a}. The angle between a vector and itself is 0°, so a×a=aasin0°=0|\vec{a}\times\vec{a}| = a\,a\sin 0° = 0

Key Point: a×a=0\boxed{\vec{a}\times\vec{a} = \vec{0}} Here 0\vec{0} is the null vector — a vector of zero magnitude and no particular direction, not the number zero. More generally a×b=0\vec{a}\times\vec{b} = \vec{0} whenever a\vec{a} and b\vec{b} are parallel or antiparallel, and that is a useful test: if a cross product vanishes and neither vector is zero, the two must be along the same line.

It is distributive over addition

Just like the scalar product, a×(b+c)=a×b+a×c\boxed{\vec{a}\times(\vec{b}+\vec{c}) = \vec{a}\times\vec{b} + \vec{a}\times\vec{c}} and similarly (a+b)×c=a×c+b×c(\vec{a}+\vec{b})\times\vec{c} = \vec{a}\times\vec{c} + \vec{b}\times\vec{c}. But keep every factor in its original position when you expand — because of anticommutativity you may not slide a vector from the right of the ×\times to the left.

A scalar may be moved about freely, though: (λa)×b=λ(a×b)=a×(λb)(\lambda\vec{a})\times\vec{b} = \lambda(\vec{a}\times\vec{b}) = \vec{a}\times(\lambda\vec{b})

It is not associative

(a×b)×c    a×(b×c)in general(\vec{a}\times\vec{b})\times\vec{c} \;\ne\; \vec{a}\times(\vec{b}\times\vec{c}) \qquad \text{in general}

A single counter-example settles it. Take a=b=i^\vec{a} = \vec{b} = \hat{i} and c=j^\vec{c} = \hat{j}. Then (i^×i^)×j^=0×j^=0(\hat{i}\times\hat{i})\times\hat{j} = \vec{0}\times\hat{j} = \vec{0}, while i^×(i^×j^)=i^×k^=j^\hat{i}\times(\hat{i}\times\hat{j}) = \hat{i}\times\hat{k} = -\hat{j}. Different answers. So the brackets in a triple cross product are not optional.

A worked consequence you should be able to produce

Expand (a+b)×(ab)(\vec{a}+\vec{b})\times(\vec{a}-\vec{b}) using distributivity, keeping the order of every factor: =a×aa×b+b×ab×b= \vec{a}\times\vec{a} - \vec{a}\times\vec{b} + \vec{b}\times\vec{a} - \vec{b}\times\vec{b} The first and last terms vanish, and b×a=a×b\vec{b}\times\vec{a} = -\vec{a}\times\vec{b}, so (a+b)×(ab)=2(a×b)=2(b×a)\boxed{(\vec{a}+\vec{b})\times(\vec{a}-\vec{b}) = -2\,(\vec{a}\times\vec{b}) = 2\,(\vec{b}\times\vec{a})}

Notice that the ordinary algebra answer, a2b2a^2 - b^2, is nowhere in sight. Cross products do not obey the algebra of numbers.

One more property, for completeness

Look at a system in a mirror. Every coordinate reverses, xxx \to -x, yyy \to -y, zzz \to -z, so every ordinary vector reverses: aa\vec{a} \to -\vec{a} and bb\vec{b} \to -\vec{b}. What happens to the product? a×b    (a)×(b)=a×b\vec{a}\times\vec{b} \;\to\; (-\vec{a})\times(-\vec{b}) = \vec{a}\times\vec{b} It does not reverse. A cross product behaves differently from an ordinary vector under reflection — which is why quantities like angular velocity and torque are sometimes called axial vectors. You will not be asked to calculate anything with this, but it is a favourite conceptual question.

Unit Vectors, the Cyclic Pattern, and the Determinant

Definitions are all very well, but in a problem you are handed components, not angles. Here is how to compute.

Start with the unit vectors

i^\hat{i}, j^\hat{j} and k^\hat{k} are mutually perpendicular unit vectors along the xx, yy and zz axes, arranged in the standard right-handed way.

Each with itself: the angle is 0°, so i^×i^=j^×j^=k^×k^=0\hat{i}\times\hat{i} = \hat{j}\times\hat{j} = \hat{k}\times\hat{k} = \vec{0}

Each with the next: take i^×j^\hat{i}\times\hat{j}. Its magnitude is (1)(1)sin90°=1(1)(1)\sin 90° = 1, so the result is a unit vector. It must be perpendicular to both i^\hat{i} and j^\hat{j}, so it lies along the zz-axis. Curl your right hand from i^\hat{i} to j^\hat{j} and the thumb points along +z+z. So i^×j^=k^\hat{i}\times\hat{j} = \hat{k}, and by the same argument for the other pairs:

Cyclic wheel of unit vectors beside the determinant form of the cross product

Key Point — the unit-vector products: i^×j^=k^,j^×k^=i^,k^×i^=j^\boxed{\hat{i}\times\hat{j} = \hat{k}, \qquad \hat{j}\times\hat{k} = \hat{i}, \qquad \hat{k}\times\hat{i} = \hat{j}} j^×i^=k^,k^×j^=i^,i^×k^=j^\boxed{\hat{j}\times\hat{i} = -\hat{k}, \qquad \hat{k}\times\hat{j} = -\hat{i}, \qquad \hat{i}\times\hat{k} = -\hat{j}} i^×i^=j^×j^=k^×k^=0\hat{i}\times\hat{i} = \hat{j}\times\hat{j} = \hat{k}\times\hat{k} = \vec{0}

The cyclic wheel — do not memorise twelve results

Write i^\hat{i}, j^\hat{j}, k^\hat{k} round a circle in that order, as in panel (a) of the figure. Then:

  • Go round the circle in the arrow direction (ijkii \to j \to k \to i) and the product of two neighbours is plus the third.
  • Go against the arrows and the answer picks up a minus sign.

That single picture holds all six results, and you can redraw it on the corner of your answer sheet in three seconds.

The component form

Now put it to work. Write a=axi^+ayj^+azk^\vec{a} = a_x\hat{i} + a_y\hat{j} + a_z\hat{k} and b=bxi^+byj^+bzk^\vec{b} = b_x\hat{i} + b_y\hat{j} + b_z\hat{k}, multiply out using distributivity, and use the table above on each of the nine terms. Six survive, and they collect into

Key Point — the component form: a×b=(aybzazby)i^+(azbxaxbz)j^+(axbyaybx)k^\boxed{\vec{a}\times\vec{b} = (a_yb_z - a_zb_y)\hat{i} + (a_zb_x - a_xb_z)\hat{j} + (a_xb_y - a_yb_x)\hat{k}}

The determinant — the form you should actually use

Nobody remembers those three brackets correctly under pressure. Write them as a determinant instead:

Key Point: a×b=i^j^k^axayazbxbybz\boxed{\vec{a}\times\vec{b} = \begin{vmatrix} \hat{i} & \hat{j} & \hat{k} \\ a_x & a_y & a_z \\ b_x & b_y & b_z \end{vmatrix}} Top row: the unit vectors. Middle row: the components of the first vector. Bottom row: the components of the second. Expand along the top row: =i^(aybzazby)    j^(axbzazbx)  +  k^(axbyaybx)= \hat{i}\,(a_yb_z - a_zb_y) \;-\; \hat{j}\,(a_xb_z - a_zb_x) \;+\; \hat{k}\,(a_xb_y - a_yb_x)

[JEE Tip] Two habits will save you every time. (i) Mind the minus sign on the j^\hat{j} term — it is by far the commonest slip in the chapter. (ii) Check your answer by dotting it with both inputs. If c=a×b\vec{c} = \vec{a}\times\vec{b} is right then ca=0\vec{c}\cdot\vec{a} = 0 and cb=0\vec{c}\cdot\vec{b} = 0, exactly. Two quick multiplications, and they catch essentially every arithmetic error.

The order of the rows is the order of the product

Swap the middle and bottom rows of a determinant and its value changes sign. That is precisely a×b=b×a\vec{a}\times\vec{b} = -\vec{b}\times\vec{a}, appearing again in a different disguise. Put the first-named vector in the middle row.

A useful identity to keep

Since a×b=absinθ|\vec{a}\times\vec{b}| = ab\sin\theta and ab=abcosθ\vec{a}\cdot\vec{b} = ab\cos\theta, squaring and adding gives a×b2+(ab)2=a2b2\boxed{|\vec{a}\times\vec{b}|^2 + (\vec{a}\cdot\vec{b})^2 = a^2b^2} and dividing one by the other gives a neat way to find an angle without any inverse cosine: tanθ=a×bab\boxed{\tan\theta = \frac{|\vec{a}\times\vec{b}|}{\vec{a}\cdot\vec{b}}} This is often the fastest route to θ\theta, and unlike cosθ\cos\theta alone it tells you at once whether the angle is acute or obtuse — the sign of ab\vec{a}\cdot\vec{b} gives it away.

What It Measures: an Area, and Then a Volume

The cross product is not an arbitrary definition. Its magnitude is a piece of geometry you can see.

Parallelogram area and parallelepiped volume built from two and three vectors

The parallelogram

Draw a\vec{a} and b\vec{b} from a common point and complete the parallelogram. Take a\vec{a} as the base, of length aa. The perpendicular height is the part of b\vec{b} at right angles to a\vec{a}, which is bsinθb\sin\theta. So area=base×height=a(bsinθ)=a×b\text{area} = \text{base}\times\text{height} = a\,(b\sin\theta) = |\vec{a}\times\vec{b}|

Key Point — area of a parallelogram: The parallelogram with adjacent sides a\vec{a} and b\vec{b} has area A=a×b\boxed{A = |\vec{a}\times\vec{b}|} and the triangle on the same two sides is half of it: A=12a×b\boxed{A_{\triangle} = \tfrac{1}{2}|\vec{a}\times\vec{b}|}

For a triangle given by three points PP, QQ, RR, first build two edge vectors from the same corner, PQ\vec{PQ} and PR\vec{PR}, then take half the magnitude of their cross product. Which corner you start from makes no difference to the answer.

If instead you are given the two diagonals d1\vec{d}_1 and d2\vec{d}_2 of a parallelogram, its area is 12d1×d2\frac{1}{2}|\vec{d}_1\times\vec{d}_2| — a small result worth carrying, since diagonals are sometimes what the question hands you.

The scalar triple product

Now take three vectors and build a parallelepiped — a slanted box — on them, as in panel (b).

Choose b\vec{b} and c\vec{c} as the base. Its area is b×c|\vec{b}\times\vec{c}|, and b×c\vec{b}\times\vec{c} points along the normal to that base. The height of the box is the part of a\vec{a} along that normal, which is acosϕ|\vec{a}|\cos\phi where ϕ\phi is the angle between a\vec{a} and b×c\vec{b}\times\vec{c}. Multiply: volume=b×c  acosϕ=a(b×c)\text{volume} = |\vec{b}\times\vec{c}|\;|\vec{a}|\cos\phi = \vec{a}\cdot(\vec{b}\times\vec{c})

Key Point — the scalar triple product: V=  a(b×c)  \boxed{V = \left|\;\vec{a}\cdot(\vec{b}\times\vec{c})\;\right|} is the volume of the parallelepiped with a\vec{a}, b\vec{b}, c\vec{c} as its three concurrent edges. It is a number, not a vector — a cross product followed by a dot product. In components it is simply the determinant a(b×c)=axayazbxbybzcxcycz\vec{a}\cdot(\vec{b}\times\vec{c}) = \begin{vmatrix} a_x & a_y & a_z \\ b_x & b_y & b_z \\ c_x & c_y & c_z \end{vmatrix}

Two properties of the triple product

It is cyclic. Rotating the three vectors round does not change it: a(b×c)=b(c×a)=c(a×b)\vec{a}\cdot(\vec{b}\times\vec{c}) = \vec{b}\cdot(\vec{c}\times\vec{a}) = \vec{c}\cdot(\vec{a}\times\vec{b}) Of course — all three describe the same box. Swapping any two, however, flips the sign, because you have swapped two rows of the determinant.

It vanishes for coplanar vectors. If all three lie in one plane the box is flat and has no volume:

Key Point — the coplanarity test: Three non-zero vectors a\vec{a}, b\vec{b}, c\vec{c} are coplanar if and only if a(b×c)=0\boxed{\vec{a}\cdot(\vec{b}\times\vec{c}) = 0}

[JEE Tip] "Show that these three vectors are coplanar" and "find the volume of the parallelepiped" are the same calculation with a different last sentence. Build the 3×33\times3 determinant, evaluate it, and either report its modulus as the volume or note that it is zero.

A unit vector perpendicular to two given vectors

One more standard use. Since a×b\vec{a}\times\vec{b} is perpendicular to both a\vec{a} and b\vec{b}, dividing it by its own magnitude gives a unit vector perpendicular to both: n^=a×ba×b\boxed{\hat{n} = \frac{\vec{a}\times\vec{b}}{|\vec{a}\times\vec{b}|}} There are exactly two such unit vectors, n^\hat{n} and n^-\hat{n}; the formula picks the one given by the right-hand rule. Say which one you have chosen.

Scalar Product Against Vector Product, Side by Side

The two products look similar on the page and behave in almost opposite ways. Getting them straight is worth more marks than any single formula in this section.

Scalar and vector products of the same two vectors compared side by side

Scalar (dot) product ab\vec{a}\cdot\vec{b} Vector (cross) product a×b\vec{a}\times\vec{b}
Result is a number (a scalar) a vector
Magnitude abcosθab\cos\theta absinθab\sin\theta
Direction none perpendicular to both, by the right-hand rule
Order ab=ba\vec{a}\cdot\vec{b} = \vec{b}\cdot\vec{a} a×b=b×a\vec{a}\times\vec{b} = -\,\vec{b}\times\vec{a}
Vectors parallel maximum, abab zero
Vectors perpendicular zero maximum, abab
A vector with itself aa=a2\vec{a}\cdot\vec{a} = a^2 a×a=0\vec{a}\times\vec{a} = \vec{0}
Unit vectors i^i^=1\hat{i}\cdot\hat{i} = 1, i^j^=0\hat{i}\cdot\hat{j} = 0 i^×i^=0\hat{i}\times\hat{i} = \vec{0}, i^×j^=k^\hat{i}\times\hat{j} = \hat{k}
Can be negative? yes, when θ>90°\theta > 90° its magnitude never is; the direction reverses instead
Components axbx+ayby+azbza_xb_x + a_yb_y + a_zb_z the 3×33\times3 determinant
Geometry projection of one on the other area of the parallelogram on the two

Key Point — the one-line test: the dot product asks how much of b\vec{b} lies ALONG a\vec{a}; the cross product asks how much of b\vec{b} lies ACROSS a\vec{a}. Everything in the table follows from that.

The method, in order

  1. Decide which product the question wants. A number out? Dot. A direction out? Cross.
  2. Given magnitudes and an angle? Go straight to absinθab\sin\theta, and take the angle between the two vectors — nose to tail is not the same as tail to tail, so redraw them from a common point first.
  3. Given components? Write the 3×33\times3 determinant, first-named vector in the middle row, and expand along the top row remembering the minus on j^\hat{j}.
  4. Always verify with two dot products. (a×b)a(\vec{a}\times\vec{b})\cdot\vec{a} and (a×b)b(\vec{a}\times\vec{b})\cdot\vec{b} must both come out exactly zero.
  5. Need a unit normal? Divide by the magnitude.
  6. Need an area? It is a×b|\vec{a}\times\vec{b}| for the parallelogram, half of that for the triangle. Need a volume or a coplanarity test? Build the scalar triple product.

The traps

Trap The fix
Writing a×b=b×a\vec{a}\times\vec{b} = \vec{b}\times\vec{a} It is b×a-\vec{b}\times\vec{a}. Order is everything
Dropping the minus sign on the j^\hat{j} term of the determinant Expand as +i^()j^()+k^()+\hat{i}(\ldots) - \hat{j}(\ldots) + \hat{k}(\ldots), every time
Using cosθ\cos\theta in a cross product Cross uses sinθ\sin\theta; dot uses cosθ\cos\theta
Reporting a×a=a2\vec{a}\times\vec{a} = a^2 That is the dot product. The cross product of a vector with itself is the null vector
Treating (a×b)×c(\vec{a}\times\vec{b})\times\vec{c} as a×(b×c)\vec{a}\times(\vec{b}\times\vec{c}) The cross product is not associative. Keep the brackets
Forgetting the factor 12\frac{1}{2} for a triangle The cross product gives the parallelogram; halve it
Writing the answer to a(b×c)\vec{a}\cdot(\vec{b}\times\vec{c}) as a vector It is a number. A cross followed by a dot always is
Taking the reflex angle between the vectors Use the smaller angle, 0° to 180°180°, so sinθ0\sin\theta \ge 0

Where this is used

Nothing in this section was physics — it was all algebra and geometry, and it is worth being able to do in your sleep. From here:

  • Section 5 defines the velocity of any point of a rotating body as v=ω×r\vec{v} = \vec{\omega}\times\vec{r};
  • Section 6 defines torque as τ=r×F\vec{\tau} = \vec{r}\times\vec{F} and the angular momentum of a particle as l=r×p\vec{l} = \vec{r}\times\vec{p}.

Every one of them is a cross product of exactly the kind you have just been evaluating. Get the determinant and the right-hand rule fluent now, and those sections become physics rather than arithmetic.

Solved Examples

Every cross product below has been recomputed independently and then tested three ways: the result is dotted with both inputs (each must give exactly zero), its magnitude is compared against absinθab\sin\theta with θ\theta obtained from the scalar product, and the reversed product is confirmed to be the exact negative. The areas and the volume were additionally checked by sampling the actual parallelogram and parallelepiped.

Example 1: Straight from the definition

Two vectors have magnitudes a=6a = 6 and b=4b = 4, and the angle between them is 30°30°. Find a×b|\vec{a}\times\vec{b}| and ab\vec{a}\cdot\vec{b}, and say which way a×b\vec{a}\times\vec{b} points if a\vec{a} lies along +x+x and b\vec{b} lies in the xyxy-plane above it.

Solution:

  1. Magnitude of the cross product: a×b=absinθ=(6)(4)sin30°=(24)(0.5)=12|\vec{a}\times\vec{b}| = ab\sin\theta = (6)(4)\sin 30° = (24)(0.5) = 12

  2. The scalar product, for contrast: ab=abcosθ=(6)(4)cos30°=(24)(0.866)=20.78\vec{a}\cdot\vec{b} = ab\cos\theta = (6)(4)\cos 30° = (24)(0.866) = 20.78 Same two vectors, same angle, and two completely different answers — one a vector of length 12, the other the plain number 20.78.

  3. Direction. Both vectors lie in the xyxy-plane, so the product is along the zz-axis. Curl the right hand from a\vec{a} (along +x+x) towards b\vec{b} (up and to the right): the thumb points out of the page, along +z+z.

  4. So a×b=12k^\vec{a}\times\vec{b} = 12\hat{k}, and b×a=12k^\vec{b}\times\vec{a} = -12\hat{k}.

Final Answer: a×b=12|\vec{a}\times\vec{b}| = 12, directed along +k^+\hat{k}; ab=20.78\vec{a}\cdot\vec{b} = 20.78.

Takeaway: At 30°30° the cross product is small and the dot product is large; at 60°60° it would be the other way about. sin\sin for cross, cos\cos for dot — write that on the top of your rough sheet and never mix them.

Example 2: The determinant, and how to check it

Find a×b\vec{a}\times\vec{b} for a=3i^4j^+5k^\vec{a} = 3\hat{i} - 4\hat{j} + 5\hat{k} and b=2i^+j^3k^\vec{b} = -2\hat{i} + \hat{j} - 3\hat{k}. Then verify your answer.

Solution:

  1. Set up the determinant, first vector in the middle row: a×b=i^j^k^345213\vec{a}\times\vec{b} = \begin{vmatrix} \hat{i} & \hat{j} & \hat{k} \\ 3 & -4 & 5 \\ -2 & 1 & -3 \end{vmatrix}

  2. Expand along the top row, minding the minus on j^\hat{j}: i^-term=(4)(3)(5)(1)=125=7\hat{i}\text{-term} = (-4)(-3) - (5)(1) = 12 - 5 = 7 j^-term=[(3)(3)(5)(2)]=[9+10]=1\hat{j}\text{-term} = -\left[(3)(-3) - (5)(-2)\right] = -\left[-9 + 10\right] = -1 k^-term=(3)(1)(4)(2)=38=5\hat{k}\text{-term} = (3)(1) - (-4)(-2) = 3 - 8 = -5

  3. So: a×b=7i^j^5k^\vec{a}\times\vec{b} = 7\hat{i} - \hat{j} - 5\hat{k}

  4. Check 1 — perpendicularity. (a×b)a=(7)(3)+(1)(4)+(5)(5)=21+425=0(\vec{a}\times\vec{b})\cdot\vec{a} = (7)(3) + (-1)(-4) + (-5)(5) = 21 + 4 - 25 = 0 \quad\checkmark (a×b)b=(7)(2)+(1)(1)+(5)(3)=141+15=0(\vec{a}\times\vec{b})\cdot\vec{b} = (7)(-2) + (-1)(1) + (-5)(-3) = -14 - 1 + 15 = 0 \quad\checkmark

  5. Check 2 — the magnitude. a×b=49+1+25=75=8.660|\vec{a}\times\vec{b}| = \sqrt{49+1+25} = \sqrt{75} = 8.660. Independently, a=50=7.071a = \sqrt{50} = 7.071, b=14=3.742b = \sqrt{14} = 3.742, and ab=6415=25\vec{a}\cdot\vec{b} = -6-4-15 = -25, so cosθ=2526.458=0.9449\cos\theta = \dfrac{-25}{26.458} = -0.9449 and θ=160.9°\theta = 160.9°. Then absinθ=(26.458)(0.3273)=8.660ab\sin\theta = (26.458)(0.3273) = 8.660. The same number. \checkmark

  6. And the reverse: b×a=7i^+j^+5k^\vec{b}\times\vec{a} = -7\hat{i} + \hat{j} + 5\hat{k}, the exact negative.

Final Answer: a×b=7i^j^5k^\vec{a}\times\vec{b} = 7\hat{i} - \hat{j} - 5\hat{k}.

Takeaway: Step 4 costs ten seconds and catches almost every mistake you can make in step 2. Make the two dot-product checks a reflex. [JEE Tip] Note that θ\theta came out obtuse — that is what the negative scalar product was telling you, and it is information the cross product's magnitude alone cannot give.

Example 3: A unit vector perpendicular to two given vectors

Find a unit vector perpendicular to both a=2i^+3j^k^\vec{a} = 2\hat{i} + 3\hat{j} - \hat{k} and b=i^j^+2k^\vec{b} = \hat{i} - \hat{j} + 2\hat{k}.

Solution:

  1. The cross product is automatically perpendicular to both, so start there: a×b=i^j^k^231112\vec{a}\times\vec{b} = \begin{vmatrix} \hat{i} & \hat{j} & \hat{k} \\ 2 & 3 & -1 \\ 1 & -1 & 2 \end{vmatrix}

  2. Expand: i^:(3)(2)(1)(1)=61=5\hat{i}: (3)(2) - (-1)(-1) = 6 - 1 = 5 j^:[(2)(2)(1)(1)]=[4+1]=5\hat{j}: -\left[(2)(2) - (-1)(1)\right] = -\left[4 + 1\right] = -5 k^:(2)(1)(3)(1)=23=5\hat{k}: (2)(-1) - (3)(1) = -2 - 3 = -5 a×b=5i^5j^5k^\vec{a}\times\vec{b} = 5\hat{i} - 5\hat{j} - 5\hat{k}

  3. Check both dot products: (5)(2)+(5)(3)+(5)(1)=1015+5=0(5)(2)+(-5)(3)+(-5)(-1) = 10 - 15 + 5 = 0 and (5)(1)+(5)(1)+(5)(2)=5+510=0(5)(1)+(-5)(-1)+(-5)(2) = 5 + 5 - 10 = 0. \checkmark

  4. Its magnitude: a×b=25+25+25=538.660|\vec{a}\times\vec{b}| = \sqrt{25+25+25} = 5\sqrt{3} \approx 8.660

  5. Divide: n^=5i^5j^5k^53=i^j^k^3\hat{n} = \frac{5\hat{i} - 5\hat{j} - 5\hat{k}}{5\sqrt{3}} = \frac{\hat{i} - \hat{j} - \hat{k}}{\sqrt{3}} Confirm it is a unit vector: 1+1+13=1\sqrt{\frac{1+1+1}{3}} = 1. \checkmark

Final Answer: n^=13(i^j^k^)\hat{n} = \dfrac{1}{\sqrt{3}}\left(\hat{i} - \hat{j} - \hat{k}\right), or its negative.

Takeaway: There are always two answers, n^\hat{n} and n^-\hat{n}, and both are correct unless the question fixes a sense. State which one you have given. [Board Important] Divide by the magnitude of the cross product, not by abab — a very common slip.

Example 4: Finding the angle without an inverse cosine

Find the angle between a=2i^+2j^+k^\vec{a} = 2\hat{i} + 2\hat{j} + \hat{k} and b=3i^4k^\vec{b} = 3\hat{i} - 4\hat{k}.

Solution:

  1. Magnitudes: a=4+4+1=3a = \sqrt{4+4+1} = 3 and b=9+0+16=5b = \sqrt{9+0+16} = 5. Convenient numbers.

  2. Scalar product: ab=(2)(3)+(2)(0)+(1)(4)=6+04=2\vec{a}\cdot\vec{b} = (2)(3) + (2)(0) + (1)(-4) = 6 + 0 - 4 = 2

  3. Vector product: a×b=i^j^k^221304=i^[(2)(4)(1)(0)]j^[(2)(4)(1)(3)]+k^[(2)(0)(2)(3)]\vec{a}\times\vec{b} = \begin{vmatrix} \hat{i} & \hat{j} & \hat{k} \\ 2 & 2 & 1 \\ 3 & 0 & -4 \end{vmatrix} = \hat{i}\left[(2)(-4)-(1)(0)\right] - \hat{j}\left[(2)(-4)-(1)(3)\right] + \hat{k}\left[(2)(0)-(2)(3)\right] =8i^+11j^6k^= -8\hat{i} + 11\hat{j} - 6\hat{k} with a×b=64+121+36=221=14.87|\vec{a}\times\vec{b}| = \sqrt{64+121+36} = \sqrt{221} = 14.87.

  4. Use the tangent form: tanθ=a×bab=14.872=7.433θ=82.3°\tan\theta = \frac{|\vec{a}\times\vec{b}|}{\vec{a}\cdot\vec{b}} = \frac{14.87}{2} = 7.433 \qquad \Longrightarrow \qquad \theta = 82.3°

  5. Cross-check with the cosine route: cosθ=2(3)(5)=0.1333\cos\theta = \dfrac{2}{(3)(5)} = 0.1333, giving θ=82.3°\theta = 82.3°. The same.

  6. And the identity: a×b2+(ab)2=221+4=225=(3)2(5)2=a2b2|\vec{a}\times\vec{b}|^2 + (\vec{a}\cdot\vec{b})^2 = 221 + 4 = 225 = (3)^2(5)^2 = a^2b^2. \checkmark

Final Answer: θ82.3°\theta \approx 82.3°.

Takeaway: The tangent route needs no square roots of awkward numbers and fixes the quadrant automatically: a positive dot product means acute, a negative one means obtuse. [JEE Tip] The identity in step 6 is the fastest possible check on a pair of products — if it fails, one of the two is wrong.

Example 5: Area of a parallelogram

Find the area of the parallelogram whose adjacent sides are a=3i^+j^+4k^\vec{a} = 3\hat{i} + \hat{j} + 4\hat{k} and b=i^j^+k^\vec{b} = \hat{i} - \hat{j} + \hat{k}.

Solution:

  1. Area is the magnitude of the cross product: a×b=i^j^k^314111\vec{a}\times\vec{b} = \begin{vmatrix} \hat{i} & \hat{j} & \hat{k} \\ 3 & 1 & 4 \\ 1 & -1 & 1 \end{vmatrix}

  2. Expand: i^:(1)(1)(4)(1)=1+4=5\hat{i}: (1)(1) - (4)(-1) = 1 + 4 = 5 j^:[(3)(1)(4)(1)]=[34]=1\hat{j}: -\left[(3)(1) - (4)(1)\right] = -\left[3-4\right] = 1 k^:(3)(1)(1)(1)=31=4\hat{k}: (3)(-1) - (1)(1) = -3 - 1 = -4 a×b=5i^+j^4k^\vec{a}\times\vec{b} = 5\hat{i} + \hat{j} - 4\hat{k}

  3. Check: (5)(3)+(1)(1)+(4)(4)=15+116=0(5)(3)+(1)(1)+(-4)(4) = 15+1-16 = 0 and (5)(1)+(1)(1)+(4)(1)=514=0(5)(1)+(1)(-1)+(-4)(1) = 5-1-4 = 0. \checkmark

  4. Area: A=a×b=25+1+16=426.48 square unitsA = |\vec{a}\times\vec{b}| = \sqrt{25 + 1 + 16} = \sqrt{42} \approx 6.48 \text{ square units}

Final Answer: 426.48\sqrt{42} \approx 6.48 square units.

Takeaway: The area is a number; do not leave a vector as your final answer. And note that no angle was ever needed — the determinant carries the sinθ\sin\theta inside it. [Board Important] If the question gives the two diagonals instead of the sides, the area is 12d1×d2\frac{1}{2}|\vec{d}_1\times\vec{d}_2|.

Example 6: Area of a triangle from three vertices

Find the area of the triangle with vertices P(1,1,1)P(1, 1, 1), Q(2,3,5)Q(2, 3, 5) and R(1,0,2)R(-1, 0, 2).

Solution:

  1. Build two edge vectors from the same corner. From PP: PQ=(21)i^+(31)j^+(51)k^=i^+2j^+4k^\vec{PQ} = (2-1)\hat{i} + (3-1)\hat{j} + (5-1)\hat{k} = \hat{i} + 2\hat{j} + 4\hat{k} PR=(11)i^+(01)j^+(21)k^=2i^j^+k^\vec{PR} = (-1-1)\hat{i} + (0-1)\hat{j} + (2-1)\hat{k} = -2\hat{i} - \hat{j} + \hat{k}

  2. Cross them: PQ×PR=i^j^k^124211\vec{PQ}\times\vec{PR} = \begin{vmatrix} \hat{i} & \hat{j} & \hat{k} \\ 1 & 2 & 4 \\ -2 & -1 & 1 \end{vmatrix} i^:(2)(1)(4)(1)=2+4=6\hat{i}: (2)(1) - (4)(-1) = 2 + 4 = 6 j^:[(1)(1)(4)(2)]=[1+8]=9\hat{j}: -\left[(1)(1) - (4)(-2)\right] = -\left[1 + 8\right] = -9 k^:(1)(1)(2)(2)=1+4=3\hat{k}: (1)(-1) - (2)(-2) = -1 + 4 = 3 PQ×PR=6i^9j^+3k^\vec{PQ}\times\vec{PR} = 6\hat{i} - 9\hat{j} + 3\hat{k}

  3. Its magnitude: PQ×PR=36+81+9=126=31411.22\left|\vec{PQ}\times\vec{PR}\right| = \sqrt{36 + 81 + 9} = \sqrt{126} = 3\sqrt{14} \approx 11.22

  4. Halve it: A=12(314)=31425.61 square unitsA_{\triangle} = \tfrac{1}{2}(3\sqrt{14}) = \frac{3\sqrt{14}}{2} \approx 5.61 \text{ square units}

Final Answer: 31425.61\dfrac{3\sqrt{14}}{2} \approx 5.61 square units.

Takeaway: Subtract to get edge vectors before you cross anything — crossing the position vectors of the three points is meaningless here. And do not forget the 12\frac{1}{2}; leaving it out is the single commonest error in this type. Starting from QQ or RR instead of PP gives the same area.

Example 7: Volume of a parallelepiped

Find the volume of the parallelepiped whose three concurrent edges are a=2i^3j^+4k^\vec{a} = 2\hat{i} - 3\hat{j} + 4\hat{k}, b=i^+2j^k^\vec{b} = \hat{i} + 2\hat{j} - \hat{k} and c=3i^j^+2k^\vec{c} = 3\hat{i} - \hat{j} + 2\hat{k}.

Solution:

  1. Find b×c\vec{b}\times\vec{c} first — the base of the box: b×c=i^j^k^121312\vec{b}\times\vec{c} = \begin{vmatrix} \hat{i} & \hat{j} & \hat{k} \\ 1 & 2 & -1 \\ 3 & -1 & 2 \end{vmatrix} i^:(2)(2)(1)(1)=41=3\hat{i}: (2)(2) - (-1)(-1) = 4 - 1 = 3 j^:[(1)(2)(1)(3)]=[2+3]=5\hat{j}: -\left[(1)(2) - (-1)(3)\right] = -\left[2 + 3\right] = -5 k^:(1)(1)(2)(3)=16=7\hat{k}: (1)(-1) - (2)(3) = -1 - 6 = -7 b×c=3i^5j^7k^\vec{b}\times\vec{c} = 3\hat{i} - 5\hat{j} - 7\hat{k}

  2. Dot it with a\vec{a}: a(b×c)=(2)(3)+(3)(5)+(4)(7)=6+1528=7\vec{a}\cdot(\vec{b}\times\vec{c}) = (2)(3) + (-3)(-5) + (4)(-7) = 6 + 15 - 28 = -7

  3. Volume is the modulus: V=7=7 cubic unitsV = |-7| = 7 \text{ cubic units}

  4. What the minus sign means. It says the three vectors, in that order, form a left-handed set — a\vec{a} lies on the opposite side of the base from b×c\vec{b}\times\vec{c}. A volume cannot be negative, so take the modulus.

  5. Check by the cyclic property: b(c×a)\vec{b}\cdot(\vec{c}\times\vec{a}) must give the same 7-7, and it does. Swapping any two of the three, for instance a(c×b)\vec{a}\cdot(\vec{c}\times\vec{b}), gives +7+7 — the same box, the opposite handedness.

Final Answer: 7 cubic units.

Takeaway: The scalar triple product is a number. Do the cross first, then the dot — (ab)×c(\vec{a}\cdot\vec{b})\times\vec{c} is not even meaningful, since you cannot cross a number with a vector. [JEE Tip] In practice just evaluate the 3×33\times3 determinant of the nine components directly; it is the same thing and it is faster.

Example 8: Testing three vectors for coplanarity

Are a=i^+2j^k^\vec{a} = \hat{i} + 2\hat{j} - \hat{k}, b=2i^j^+3k^\vec{b} = 2\hat{i} - \hat{j} + 3\hat{k} and c=3i^+j^+2k^\vec{c} = 3\hat{i} + \hat{j} + 2\hat{k} coplanar?

Solution:

  1. The test is a(b×c)=0\vec{a}\cdot(\vec{b}\times\vec{c}) = 0 — a flat box has no volume.

  2. Compute b×c\vec{b}\times\vec{c}: i^:(1)(2)(3)(1)=23=5\hat{i}: (-1)(2) - (3)(1) = -2 - 3 = -5 j^:[(2)(2)(3)(3)]=[49]=5\hat{j}: -\left[(2)(2) - (3)(3)\right] = -\left[4 - 9\right] = 5 k^:(2)(1)(1)(3)=2+3=5\hat{k}: (2)(1) - (-1)(3) = 2 + 3 = 5 b×c=5i^+5j^+5k^\vec{b}\times\vec{c} = -5\hat{i} + 5\hat{j} + 5\hat{k}

  3. Dot with a\vec{a}: a(b×c)=(1)(5)+(2)(5)+(1)(5)=5+105=0\vec{a}\cdot(\vec{b}\times\vec{c}) = (1)(-5) + (2)(5) + (-1)(5) = -5 + 10 - 5 = 0

  4. Conclusion: the triple product vanishes, so the three vectors are coplanar.

  5. A confirmation. If they are coplanar, one must be a combination of the other two. Try c=αa+βb\vec{c} = \alpha\vec{a} + \beta\vec{b}: the i^\hat{i} and j^\hat{j} equations give α+2β=3\alpha + 2\beta = 3 and 2αβ=12\alpha - \beta = 1, so α=1\alpha = 1 and β=1\beta = 1. Check the k^\hat{k} equation: 1+3=2-1 + 3 = 2. \checkmark Indeed c=a+b\vec{c} = \vec{a} + \vec{b}.

Final Answer: Yes — the scalar triple product is zero, so the three vectors are coplanar.

Takeaway: Zero volume means coplanar, and step 5 shows what that really means: one vector is a combination of the other two. [JEE Tip] When the question asks you to find a value of λ\lambda that makes three vectors coplanar, set the determinant to zero and solve for λ\lambda — same test, run backwards.

Example 9: Making two vectors parallel

For what value of λ\lambda are a=2i^+λj^+k^\vec{a} = 2\hat{i} + \lambda\hat{j} + \hat{k} and b=4i^2j^+2k^\vec{b} = 4\hat{i} - 2\hat{j} + 2\hat{k} parallel?

Solution:

  1. The condition. Two non-zero vectors are parallel or antiparallel exactly when sinθ=0\sin\theta = 0, that is, when a×b=0\vec{a}\times\vec{b} = \vec{0}.

  2. Compute the cross product with λ\lambda carried along: i^:(λ)(2)(1)(2)=2λ+2\hat{i}: (\lambda)(2) - (1)(-2) = 2\lambda + 2 j^:[(2)(2)(1)(4)]=[44]=0\hat{j}: -\left[(2)(2) - (1)(4)\right] = -\left[4 - 4\right] = 0 k^:(2)(2)(λ)(4)=44λ\hat{k}: (2)(-2) - (\lambda)(4) = -4 - 4\lambda

  3. Set every component to zero. The j^\hat{j} component is already zero. From the i^\hat{i} component, 2λ+2=02\lambda + 2 = 0, so λ=1\lambda = -1; from the k^\hat{k} component, 44λ=0-4 - 4\lambda = 0, so λ=1\lambda = -1 as well. Consistent, which is what tells you a solution exists at all.

  4. Verify: with λ=1\lambda = -1, a=2i^j^+k^\vec{a} = 2\hat{i} - \hat{j} + \hat{k} and b=4i^2j^+2k^=2a\vec{b} = 4\hat{i} - 2\hat{j} + 2\hat{k} = 2\vec{a}. One is exactly twice the other, so they are certainly parallel.

Final Answer: λ=1\lambda = -1.

Takeaway: For parallel vectors, use a×b=0\vec{a}\times\vec{b} = \vec{0} — or, equivalently, the proportionality of components, 24=λ2=12\dfrac{2}{4} = \dfrac{\lambda}{-2} = \dfrac{1}{2}. [NEET Important] The mirror-image question, "for what λ\lambda are they perpendicular?", uses ab=0\vec{a}\cdot\vec{b} = 0 instead. Read which one is being asked.

Example 10: An identity you should be able to prove

Prove that (a+b)×(ab)=2(b×a)(\vec{a}+\vec{b})\times(\vec{a}-\vec{b}) = 2\,(\vec{b}\times\vec{a}), and verify it for a=i^+2j^+3k^\vec{a} = \hat{i} + 2\hat{j} + 3\hat{k} and b=2i^j^+k^\vec{b} = 2\hat{i} - \hat{j} + \hat{k}.

Solution:

  1. Expand by distributivity, keeping every factor on its original side of the ×\times: (a+b)×(ab)=a×aa×b+b×ab×b(\vec{a}+\vec{b})\times(\vec{a}-\vec{b}) = \vec{a}\times\vec{a} - \vec{a}\times\vec{b} + \vec{b}\times\vec{a} - \vec{b}\times\vec{b}

  2. Kill the self-products: a×a=0\vec{a}\times\vec{a} = \vec{0} and b×b=0\vec{b}\times\vec{b} = \vec{0}.

  3. Use anticommutativity on the second term: a×b=+b×a-\vec{a}\times\vec{b} = +\vec{b}\times\vec{a}. So =b×a+b×a=2(b×a)=2(a×b)= \vec{b}\times\vec{a} + \vec{b}\times\vec{a} = 2\,(\vec{b}\times\vec{a}) = -2\,(\vec{a}\times\vec{b})

  4. Now the numbers. a×b=i^j^k^123211=i^(2+3)j^(16)+k^(14)=5i^+5j^5k^\vec{a}\times\vec{b} = \begin{vmatrix} \hat{i} & \hat{j} & \hat{k} \\ 1 & 2 & 3 \\ 2 & -1 & 1 \end{vmatrix} = \hat{i}(2+3) - \hat{j}(1-6) + \hat{k}(-1-4) = 5\hat{i} + 5\hat{j} - 5\hat{k}

  5. Direct evaluation of the left side. With a+b=3i^+j^+4k^\vec{a}+\vec{b} = 3\hat{i} + \hat{j} + 4\hat{k} and ab=i^+3j^+2k^\vec{a}-\vec{b} = -\hat{i} + 3\hat{j} + 2\hat{k}, i^j^k^314132=i^(212)j^(6+4)+k^(9+1)=10i^10j^+10k^\begin{vmatrix} \hat{i} & \hat{j} & \hat{k} \\ 3 & 1 & 4 \\ -1 & 3 & 2 \end{vmatrix} = \hat{i}(2 - 12) - \hat{j}(6 + 4) + \hat{k}(9 + 1) = -10\hat{i} - 10\hat{j} + 10\hat{k}

  6. Compare: 2(a×b)=2(5i^+5j^5k^)=10i^10j^+10k^-2(\vec{a}\times\vec{b}) = -2(5\hat{i}+5\hat{j}-5\hat{k}) = -10\hat{i} - 10\hat{j} + 10\hat{k}. Identical. \checkmark

Final Answer: (a+b)×(ab)=2(b×a)=2(a×b)(\vec{a}+\vec{b})\times(\vec{a}-\vec{b}) = 2(\vec{b}\times\vec{a}) = -2(\vec{a}\times\vec{b}), here equal to 10i^10j^+10k^-10\hat{i} - 10\hat{j} + 10\hat{k}.

Takeaway: The ordinary-algebra answer a2b2a^2 - b^2 is wrong here, and the reason is anticommutativity: the two middle terms reinforce instead of cancelling. [JEE Tip] Any expansion of a cross product is safe as long as you never move a vector across the ×\times sign.

Example 11: The Lagrange identity as a checking tool

For a=3i^4j^+5k^\vec{a} = 3\hat{i} - 4\hat{j} + 5\hat{k} and b=2i^+j^3k^\vec{b} = -2\hat{i} + \hat{j} - 3\hat{k}, verify that a×b2+(ab)2=a2b2|\vec{a}\times\vec{b}|^2 + (\vec{a}\cdot\vec{b})^2 = a^2b^2.

Solution:

  1. The two products were found in Example 2: a×b=7i^j^5k^\vec{a}\times\vec{b} = 7\hat{i} - \hat{j} - 5\hat{k} and ab=25\vec{a}\cdot\vec{b} = -25.

  2. Left-hand side: a×b2=49+1+25=75,(ab)2=(25)2=625|\vec{a}\times\vec{b}|^2 = 49 + 1 + 25 = 75, \qquad (\vec{a}\cdot\vec{b})^2 = (-25)^2 = 625 75+625=70075 + 625 = 700

  3. Right-hand side: a2=9+16+25=50,b2=4+1+9=14,a2b2=(50)(14)=700a^2 = 9 + 16 + 25 = 50, \qquad b^2 = 4 + 1 + 9 = 14, \qquad a^2b^2 = (50)(14) = 700

  4. They match. \checkmark

  5. Why it must work. a×b2+(ab)2=a2b2sin2θ+a2b2cos2θ=a2b2(sin2θ+cos2θ)=a2b2|\vec{a}\times\vec{b}|^2 + (\vec{a}\cdot\vec{b})^2 = a^2b^2\sin^2\theta + a^2b^2\cos^2\theta = a^2b^2(\sin^2\theta + \cos^2\theta) = a^2b^2. It is Pythagoras in disguise.

Final Answer: Both sides equal 700, so the identity holds.

Takeaway: This is the best single check on a pair of products, because it uses both of them at once — a slip in either one breaks the equality. [JEE Tip] It also lets you find one product from the other: given ab\vec{a}\cdot\vec{b} and the two magnitudes, a×b=a2b2(ab)2|\vec{a}\times\vec{b}| = \sqrt{a^2b^2 - (\vec{a}\cdot\vec{b})^2} with no angle needed.

Example 12: The same product two different ways

Evaluate (2i^3j^+k^)×(i^+4j^)(2\hat{i} - 3\hat{j} + \hat{k})\times(\hat{i} + 4\hat{j}) (a) by expanding term by term with the unit-vector products, and (b) by the determinant. Confirm the two agree.

Solution:

  1. (a) Expand. There are six non-zero products; write them out: (2i^)×(i^)=2(i^×i^)=0(2\hat{i})\times(\hat{i}) = 2(\hat{i}\times\hat{i}) = \vec{0} (2i^)×(4j^)=8(i^×j^)=8k^(2\hat{i})\times(4\hat{j}) = 8(\hat{i}\times\hat{j}) = 8\hat{k} (3j^)×(i^)=3(j^×i^)=3(k^)=3k^(-3\hat{j})\times(\hat{i}) = -3(\hat{j}\times\hat{i}) = -3(-\hat{k}) = 3\hat{k} (3j^)×(4j^)=12(j^×j^)=0(-3\hat{j})\times(4\hat{j}) = -12(\hat{j}\times\hat{j}) = \vec{0} (k^)×(i^)=j^(\hat{k})\times(\hat{i}) = \hat{j} (k^)×(4j^)=4(k^×j^)=4(i^)=4i^(\hat{k})\times(4\hat{j}) = 4(\hat{k}\times\hat{j}) = 4(-\hat{i}) = -4\hat{i}

  2. Add them up: 4i^+j^+(8+3)k^=4i^+j^+11k^-4\hat{i} + \hat{j} + (8+3)\hat{k} = -4\hat{i} + \hat{j} + 11\hat{k}

  3. (b) The determinant, with the zz-component of the second vector written in as 00: i^j^k^231140=i^[(3)(0)(1)(4)]j^[(2)(0)(1)(1)]+k^[(2)(4)(3)(1)]\begin{vmatrix} \hat{i} & \hat{j} & \hat{k} \\ 2 & -3 & 1 \\ 1 & 4 & 0 \end{vmatrix} = \hat{i}\left[(-3)(0)-(1)(4)\right] - \hat{j}\left[(2)(0)-(1)(1)\right] + \hat{k}\left[(2)(4)-(-3)(1)\right] =4i^j^(1)+11k^=4i^+j^+11k^= -4\hat{i} - \hat{j}(-1) + 11\hat{k} = -4\hat{i} + \hat{j} + 11\hat{k}

  4. The two agree. And the checks: (4)(2)+(1)(3)+(11)(1)=83+11=0(-4)(2)+(1)(-3)+(11)(1) = -8-3+11 = 0, and (4)(1)+(1)(4)+(11)(0)=4+4=0(-4)(1)+(1)(4)+(11)(0) = -4+4 = 0. \checkmark

Final Answer: 4i^+j^+11k^-4\hat{i} + \hat{j} + 11\hat{k}.

Takeaway: The two routes are the same calculation; the determinant is just bookkeeping for the expansion. Use the determinant in exams — it is faster and it does not let you forget a term. [Board Important] When a vector has a missing component, write it in explicitly as 00 before building the determinant; a two-row-of-two-entries determinant is where sign errors breed.