Iloczyn dwóch wektorów trójwymiarowych $\vec a$ i $\vec b$ jest unikalny wektor takie, że:$\vec c$

• $\vec c$ jest ortogonalny zarówno do i$\vec a$$\vec b$

• Wielkość jest równa powierzchni równoległoboku utworzonego przez i$\vec c$$\vec a$$\vec b$

• Kierunki , → b i → c , w tej kolejności, przestrzegaj zasady prawej ręki .$\vec a$$\vec b$$\vec c$

Istnieje kilka równoważnych wzorów dla produktu krzyżowego, ale jeden z nich jest następujący:

$$\vec a\times\vec b=\det\begin{bmatrix}\vec i&\vec j&\vec k\\a_1&a_2&a_3\\b_1&b_2&b_3\end{bmatrix}$$

where $\vec i$, $\vec j$, and $\vec k$ are the unit vectors in the first, second, and third dimensions.

Challenge

Given two 3D vectors, write a full program or function to find their cross product. Builtins that specifically calculate the cross product are disallowed.

Input

Two arrays of three real numbers each. If your language doesn't have arrays, the numbers still must be grouped into threes. Both vectors will have magnitude $<2^{16}$. Note that the cross product is noncommutative ($\vec a\times\vec b=-\bigl(\vec b\times\vec a\bigr)$), so you should have a way to specify order.

Output

Their cross product, in a reasonable format, with each component accurate to four significant figures or $10^{-4}$, whichever is looser. Scientific notation is optional.

Test cases

[3, 1, 4], [1, 5, 9]
[-11, -23, 14]

[5, 0, -3], [-3, -2, -8]
[-6, 49, -10]

[0.95972, 0.25833, 0.22140],[0.93507, -0.80917, -0.99177]
[-0.077054, 1.158846, -1.018133]

[1024.28, -2316.39, 2567.14], [-2290.77, 1941.87, 712.09]
[-6.6345e+06, -6.6101e+06, -3.3173e+06]

This is code-golf, so the shortest solution in bytes wins.

_{Maltysen posted a similar challenge, but the response was poor and the question wasn't edited.}

Jelly, 14 13 12 bytes

;"s€2U×¥/ḅ-U

Try it online!

How it works

;"s€2U×¥/ḅ-U Main link. Input: [a1, a2, a3], [b1, b2, b3]

;"           Concatenate each [x1, x2, x3] with itself.
             Yields [a1, a2, a3, a1, a2, a3], [b1, b2, b3, b1, b2, b3].
  s€2        Split each array into pairs.
             Yields [[a1, a2], [a3, a1], [a2, a3]], [[b1, b2], [b3, b1], [b2, b3]].
       ¥     Define a dyadic chain:
     U         Reverse the order of all arrays in the left argument.
      ×        Multiply both arguments, element by element.
        /    Reduce the 2D array of pairs by this chain.
             Reversing yields [a2, a1], [a1, a3], [a3, a2].
             Reducing yields [a2b1, a1b2], [a1b3, a3b1], [a3b2, a2b3].
         ḅ-  Convert each pair from base -1 to integer.
             This yields [a1b2 - a2b1, a3b1 - a1b3, a2b3 - a3b2]
           U Reverse the array.
             This yields [a2b3 - a3b2, a3b1 - a1b3, a1b2 - a2b1] (cross product).

Non-competing version (10 bytes)

OK, this is embarrassing, but the array manipulation language Jelly did not have a built-in for array rotation until just now. With this new built-in, we can save two additional bytes.

ṙ-×
ç_ç@ṙ-

This uses the approach from @AlexA.'s J answer. Try it online!

How it works

ṙ-×     Helper link. Left input: x = [x1, x2, x3]. Right input: y = [y1, y2, y3].

ṙ-      Rotate x 1 unit to the right (actually, -1 units to the left).
        This yields [x3, x1, x2].
  ×     Multiply the result with y.
        This yields [x3y1, x1y2, x2y3].


ç_ç@ṙ-  Main link. Left input: a = [a1, a2, a3]. Right input: b = [b1, b2, b3].

ç       Call the helper link with arguments a and b.
        This yields [a3b1, a1b2, a2b3].
  ç@    Call the helper link with arguments b and a.
        This yields [b3a1, b1a2, b2a3].
_       Subtract the result to the right from the result to the left.
        This yields [a3b1 - a1b3, a1b2 - a2b1, a2b3 - a3b2].
    ṙ-  Rotate the result 1 unit to the right.
        This yields [a2b3 - a3b2, a3b1 - a1b3, a1b2 - a2b1] (cross product).

LISP, 128 122 bytes

Hi! This is my code:

(defmacro D(x y)`(list(*(cadr,x)(caddr,y))(*(caddr,x)(car,y))(*(car,x)(cadr,y))))(defun c(a b)(mapcar #'- (D a b)(D b a)))

I know that it isn't the shortest solution, but nobody has provided one in Lisp, until now :)

Copy and paste the following code here to try it!

(defmacro D(x y)`(list(*(cadr,x)(caddr,y))(*(caddr,x)(car,y))(*(car,x)(cadr,y))))(defun c(a b)(mapcar #'- (D a b)(D b a)))

(format T "Inputs: (3 1 4), (1 5 9)~%")
(format T "Result ~S~%~%" (c '(3 1 4) '(1 5 9)))

(format T "Inputs: (5 0 -3), (-3 -2 -8)~%")
(format T "Result ~S~%~%" (c '(5 0 -3) '(-3 -2 -8)))

(format T "Inputs: (0.95972 0.25833 0.22140), (0.93507 -0.80917 -0.99177)~%")
(format T "Result ~S~%" (c '(0.95972 0.25833 0.22140) '(0.93507 -0.80917 -0.99177)))

(format T "Inputs: (1024.28 -2316.39 2567.14), (-2290.77 1941.87 712.09)~%")
(format T "Result ~S~%" (c '(1024.28 -2316.39 2567.14) '(-2290.77 1941.87 712.09)))

Dyalog APL, 12 bytes

2⌽p⍨-p←⊣×2⌽⊢

Based on @AlexA.'s J answer and (coincidentally) equivalent to @randomra's improvement in that answer's comment section.

Try it online on TryAPL.

How it works

2⌽p⍨-p←⊣×2⌽⊢  Dyadic function.
              Left argument: a = [a1, a2, a3]. Right argument: b = [b1, b2, b3].

         2⌽⊢  Rotate b 2 units to the left. Yields [b3, b1, b2].
       ⊣×     Multiply the result by a. Yields [a1b3, a2b1, a3b2].
     p←       Save the tacit function to the right (NOT the result) in p.
  p⍨          Apply p to b and a (reversed). Yields [b1a3, b2a1, b3a2].
    -         Subtract the right result (p) from the left one (p⍨).
              This yields [a3b1 - a1b3, a1b2 - a2b1, a2b3 - a3b2].
2⌽            Rotate the result 2 units to the left.
              This yields [a2b3 - a3b2, a3b1 - a1b3, a1b2 - a2b1].

J, 27 14 bytes

2|.v~-v=.*2&|.

This is a dyadic verb that accepts arrays on the left and right and returns their cross product.

Explanation:

         *2&|.     NB. Dyadic verb: Left input * twice-rotated right input
      v=.          NB. Locally assign to v
   v~-             NB. Commute arguments, negate left
2|.                NB. Left rotate twice

Example:

    f =: 2|.v~-v=.*2&|.
    3 1 4 f 1 5 9
_11 _23 14

Try it here

Saved 13 bytes thanks to randomra!

C, 156 154 150 148 144 bytes

#include <stdio.h>
main(){float v[6];int i=7,j,k;for(;--i;)scanf("%f",v+6-i);for(i=1;i<4;)j=i%3,k=++i%3,printf("%f ",v[j]*v[k+3]-v[k]*v[j+3]);}

Not going to be winning any prizes for length, but thought I'd have a go anyway.

• Input is a newline- or space-delimited list of components (i.e. a1 a2 a3 b1 b2 b3), output is space-delimited (i.e. c1 c2 c3).
• Cyclically permutes the indices of the two input vectors to calculate the product - takes fewer characters than writing out the determinants!

Demo

Ungolfed:

#include <cstdio>
int main()
{
    float v[6];
    int i = 7, j, k;
    for (; --i; ) scanf("%f", v + 6 - 1);
    for (i = 1; i < 4; )
        j = i % 3,
        k = ++i % 3,
        printf("%f ", v[j] * v[k + 3] - v[k] * v[j + 3]);
}

Haskell, 41 bytes

x(a,b,c)(d,e,f)=(b*f-c*e,c*d-a*f,a*e-b*d)

A straightforward solution.

Bash + coreutils, 51

eval set {$1}*{$2}
bc<<<"scale=4;$6-$8;$7-$3;$2-$4"

• Line 1 constructs a brace expansion that gives the cartesian product of the two vectors and sets them into the positional parameters.
• Line 2 subtracts the appropriate terms; bc does the arithmetic evaluation to the required precision.

Input is as two comma-separated lists on the command-line. Output as newline-separated lines:

$ ./crossprod.sh 0.95972,0.25833,0.22140 0.93507,-0.80917,-0.99177
-.07705
1.15884
-1.01812
$

MATL, 17 bytes

!*[6,7,2;8,3,4])d

First input is a, second is b.

Try it online!

Explanation

!              % input b as a row array and transpose into a column array
*              % input a as a row array. Compute 3x3 matrix of pairwise products
[6,7,2;8,3,4]  % 2x3 matrix that picks elements from the former in column-major order
)              % apply index
d              % difference within each column

Pyth, 16 bytes

-VF*VM.<VLQ_BMS2

Try it online: Demonstration

Explanation:

-VF*VM.<VLQ_BMS2   Q = input, pair of vectors [u, v]
              S2   creates the list [1, 2]
           _BM     transforms it to [[1, -1], [2, -2]]
      .<VLQ        rotate of the input vectors accordingly to the left:
                   [[u by 1, v by -1], [u by 2, v by -2]]
   *VM             vectorized multiplication for each of the vector-pairs
-VF                vectorized subtraction of the resulting two vectors

K5, 44 40 37 32 bytes

Wrote this one quite a while ago and dusted it off again recently.

{{x[y]-x[|y]}[*/x@']'3 3\'5 6 1}

In action:

 cross: {{x[y]-x[|y]}[*/x@']'3 3\'5 6 1};

 cross (3 1 4;1 5 9)
-11 -23 14
 cross (0.95972 0.25833 0.22140;0.93507 -0.80917 -0.99177)
-7.705371e-2 1.158846 -1.018133

Edit 1:

Saved 4 bytes by taking input as a list of lists instead of two separate arguments:

old: {m:{*/x@'y}(x;y);{m[x]-m[|x]}'(1 2;2 0;0 1)}
new: {m:{*/x@'y}x    ;{m[x]-m[|x]}'(1 2;2 0;0 1)}

Edit 2:

Saved 3 bytes by computing a lookup table with base-decode:

old: {m:{*/x@'y}x;{m[x]-m[|x]}'(1 2;2 0;0 1)}
new: {m:{*/x@'y}x;{m[x]-m[|x]}'3 3\'5 6 1}

Edit 3:

Save 5 bytes by rearranging application to permit using a tacit definition instead of a local lambda. Unfortunately, this solution no longer works in oK, and requires the official k5 interpreter. Gonna have to take my word for this one until I fix the bug in oK:

old: {m:{*/x@'y}x;{m[x]-m[|x]}'3 3\'5 6 1}
new: {{x[y]-x[|y]}[*/x@']     '3 3\'5 6 1}

Ruby, 49 bytes

->u,v{(0..2).map{|a|u[a-2]*v[a-1]-u[a-1]*v[a-2]}}

Try it online!

Returning after 2 years, I shaved off 12 bytes by using how Ruby treats negative array indices. -1 is the last element of the array, -2 the second last etc.

Ruby, 57

->u,v{(0..2).map{|a|u[b=(a+1)%3]*v[c=(a+2)%3]-u[c]*v[b]}}

In test program

f=->u,v{(0..2).map{|a|u[b=(a+1)%3]*v[c=(a+2)%3]-u[c]*v[b]}}

p f[[3, 1, 4], [1, 5, 9]]

p f[[5, 0, -3], [-3, -2, -8]]

p f[[0.95972, 0.25833, 0.22140],[0.93507, -0.80917, -0.99177]]

p f[[1024.28, -2316.39, 2567.14], [-2290.77, 1941.87, 712.09]]

Python, 73 48 bytes

Thanks @FryAmTheEggman

lambda (a,b,c),(d,e,f):[b*f-c*e,c*d-a*f,a*e-b*d]

This is based on the component definition of the vector cross product.

Try it here

Jelly, 5 bytes

Takes input in the form $[[x_1,x_2],[y_1,y_2],[z_1,z_2]]$. If you want them to be two lists of x-y-z coordinates, just prepend Z to the beginning of the program.

ṁ4ÆḊƝ

Try it online!

Here is a PDF explanation in case SE markdown can't handle it.

---

The cross-product in analytic form

Let $(x_1,y_1,z_1)$ be the coordinates of $\vec{v_1}$ and $(x_2,y_2,z_2)$ be the coordinates of $\vec{v_2}$. Their analytic expressions are as follows:

$$\boldsymbol{\vec{v_1}}=x_1\cdot \boldsymbol{\vec{i}}+y_1\cdot \boldsymbol{\vec{j}}+z_1\cdot\boldsymbol{\vec{k}}$$ $$\boldsymbol{\vec{v_2}}=x_2\cdot \boldsymbol{\vec{i}}+y_2\cdot \boldsymbol{\vec{j}}+z_2\cdot\boldsymbol{\vec{k}}$$

The only thing left to do now is to also write their cross-product in terms of its coordinates in the $Oxyz$ space.

$$\boldsymbol{\vec{v_1}}\times \boldsymbol{\vec{v_2}}=\left(x_1\cdot \boldsymbol{\vec{i}}+y_1\cdot \boldsymbol{\vec{j}}+z_1\cdot\boldsymbol{\vec{k}}\right)\times\left(x_2\cdot \boldsymbol{\vec{i}}+y_2\cdot \boldsymbol{\vec{j}}+z_2\cdot\boldsymbol{\vec{k}}\right)$$

Keeping in mind that:

$$\boldsymbol{\vec{i}}\times \boldsymbol{\vec{j}}=\boldsymbol{\vec{k}}, \:\: \boldsymbol{\vec{i}}\times \boldsymbol{\vec{k}}=-\boldsymbol{\vec{j}}, \:\: \boldsymbol{\vec{j}}\times \boldsymbol{\vec{i}}=-\boldsymbol{\vec{k}}, \:\: \boldsymbol{\vec{j}}\times \boldsymbol{\vec{k}}=\boldsymbol{\vec{i}}, \:\: \boldsymbol{\vec{k}}\times \boldsymbol{\vec{i}}=\boldsymbol{\vec{j}}, \:\: \boldsymbol{\vec{k}}\times \boldsymbol{\vec{j}}=-\boldsymbol{\vec{i}}$$

After the necessary rearrangements and calculations:

$$\boldsymbol{\vec{v_1}}\times \boldsymbol{\vec{v_2}}=(y_1z_2-z_1y_2)\cdot \boldsymbol{\vec{i}}+(z_1x_2-x_1z_2)\cdot \boldsymbol{\vec{j}}+(x_1y_2-y_1x_2)\cdot \boldsymbol{\vec{k}}$$

The close relationship with matrix determinants

There's an interesting thing to note here:

$$x_1y_2-y_1x_2=\left|\begin{matrix}x_1 & y_1 \\\ x_2 & y_2\end{matrix}\right|$$ $$z_1x_2-x_1z_2=\left|\begin{matrix}z_1 & x_1 \\\ z_2 & x_2\end{matrix}\right|$$ $$y_1z_2-z_1y_2=\left|\begin{matrix}y_1 & z_1 \\\ y_2 & z_2\end{matrix}\right|$$

Where we use the notation $\left|\cdot\right|$ for matrix determinant. Notice the beautiful rotational symmetry?

Jelly code explanation

Well... not much to explain here. It just generates the matrix:

$$\left(\begin{matrix}x_1 & y_1 & z_1 & x_1 \\\ x_2 & y_2 & z_2 & x_2\end{matrix}\right)$$

And for each pair of neighbouring matrices, it computes the determinant of the matrix formed by joining the two.

ṁ4ÆḊƝ – Monadic Link. Takes input as [[x1,x2],[y1,y2],[z1,z2]].
ṁ4    – Mold 4. Cycle the list up to length 4, reusing the elements if necessary.
        Generates [[x1,x2],[y1,y2],[z1,z2],[x1,x2]].
    Ɲ – For each pair of neighbours: [[x1,x2],[y1,y2]], [[y1,y2],[z1,z2]], [[z1,z2],[x1,x2]].
  ÆḊ  – Compute the determinant of those 2 paired together into a single matrix.

Wolfram Language (Mathematica), 38 33 bytes

Det@{a={i,j,k},##}~Coefficient~a&

Try it online!

ES6, 40 bytes

(a,b,c,d,e,f)=>[b*f-c*e,c*d-a*f,a*e-b*d]

44 bytes if the input needs to be two arrays:

([a,b,c],[d,e,f])=>[b*f-c*e,c*d-a*f,a*e-b*d]

52 bytes for a more interesting version:

(a,b)=>a.map((_,i)=>a[x=++i%3]*b[y=++i%3]-a[y]*b[x])

Julia 0.7, 45 39 bytes

f(a,b)=1:3 .|>i->det([eye(3)[i,:] a b])

Try it online!

Uses the determinant-based formula given in the task description.

Thanks to H.PWiz for -6 bytes.

APL(NARS), 23 chars, 46 bytes

{((1⌽⍺)×5⌽⍵)-(5⌽⍺)×1⌽⍵}

test:

  f←{((1⌽⍺)×5⌽⍵)-(5⌽⍺)×1⌽⍵}
  (3 1 4) f (1 5 9)
¯11 ¯23 14 
  (5 0 ¯3) f (¯3 ¯2 ¯8)
¯6 49 ¯10 
  (0.95972 0.25833 0.22140) f (0.93507 ¯0.80917 ¯0.99177)
¯0.0770537061 1.158846002 ¯1.018133265 
  (1024.28 ¯2316.39 2567.14) f (¯2290.77 1941.87 712.09)
¯6634530.307 ¯6610106.843 ¯3317298.117 

Pari/GP, 41 bytes

(a,b)->Vec(matdet(Mat([[x^2,x,1],a,b]~)))

Try it online!