Free Quaternion Calculator

Enter values and the result will appear here.

What Are Quaternions?

Quaternions are a four‑dimensional extension of complex numbers, first introduced by Sir William Hamilton to model three‑dimensional rotations. A quaternion is expressed as

q=a+b i+c j+d k,q = a + b\,\mathbf{i} + c\,\mathbf{j} + d\,\mathbf{k},

where aa, bb, cc, and dd are real numbers, and i\mathbf{i}, j\mathbf{j}, k\mathbf{k} are the fundamental unit quaternions. The real part is aa, while the remaining three components form the “vector” part. When c=d=0c = d = 0, the expression reduces to an ordinary complex number, highlighting how quaternions generalize the familiar two‑dimensional plane.

Adding and Subtracting Quaternions

Quaternion addition (and subtraction) works exactly like vector addition: you simply combine corresponding coefficients.

(a+bi+cj+dk)+(e+fi+gj+hk)=(a+e)+(b+f)i+(c+g)j+(d+h)k.(a + b\mathbf{i} + c\mathbf{j} + d\mathbf{k}) + (e + f\mathbf{i} + g\mathbf{j} + h\mathbf{k}) = (a+e) + (b+f)\mathbf{i} + (c+g)\mathbf{j} + (d+h)\mathbf{k}.

This operation is associative, commutative, and every quaternion has an additive inverse. Subtraction follows the same principle – you add the negative of each coefficient.

Multiplying Quaternions – The Hamilton Product

Multiplication is more involved because it is non‑commutative. The rule relies on the products of the unit quaternions:

i2=j2=k2=−1,ij=k,  jk=i,  ki=j,ji=−k,  kj=−i,  ik=−j.\mathbf{i}^2 = \mathbf{j}^2 = \mathbf{k}^2 = -1, \quad \mathbf{i}\mathbf{j} = \mathbf{k},\; \mathbf{j}\mathbf{k} = \mathbf{i},\; \mathbf{k}\mathbf{i} = \mathbf{j},\quad \mathbf{j}\mathbf{i} = -\mathbf{k},\; \mathbf{k}\mathbf{j} = -\mathbf{i},\; \mathbf{i}\mathbf{k} = -\mathbf{j}.

Using the distributive property, the product of two quaternions

q1=a+bi+cj+dkq_1 = a + b\mathbf{i} + c\mathbf{j} + d\mathbf{k} and q2=e+fi+gj+hkq_2 = e + f\mathbf{i} + g\mathbf{j} + h\mathbf{k}

is called the Hamilton product. The result has the form:

q1q2=  (ae−bf−cg−dh)+(af+be+ch−dg) i+(ag−bh+ce+df) j+(ah+bg−cf+de) k.\begin{aligned} q_1 q_2 = &\;(ae - bf - cg - dh) \\ &+ (af + be + ch - dg)\,\mathbf{i} \\ &+ (ag - bh + ce + df)\,\mathbf{j} \\ &+ (ah + bg - cf + de)\,\mathbf{k}. \end{aligned}

Because multiplication is not commutative, q1q2q_1 q_2 generally differs from q2q1q_2 q_1. The calculator therefore returns both orders when you perform a Quaternion Multiplication operation.

Norm, Conjugate, and Inverse

The norm (or magnitude) of a quaternion is analogous to the length of a four‑dimensional vector:

∥q∥=a2+b2+c2+d2.\|q\| = \sqrt{a^{2} + b^{2} + c^{2} + d^{2}}.

The conjugate flips the sign of the vector part:

q‾=a−b i−c j−d k.\overline{q} = a - b\,\mathbf{i} - c\,\mathbf{j} - d\,\mathbf{k}.

Multiplying a quaternion by its conjugate yields the squared norm: qq‾=∥q∥2q\overline{q} = \|q\|^{2}.

The inverse of a non‑zero quaternion is given by

q−1=q‾∥q∥2.q^{-1} = \frac{\overline{q}}{\|q\|^{2}}.

Because multiplication is non‑commutative, division is interpreted as multiplication by the inverse, and the order matters. The Quaternion Inverse Calculator functionality automatically computes both q1q2−1q_1 q_2^{-1} and q2−1q1q_2^{-1} q_1.

Matrix Representation

A quaternion can be represented as a 4×44\times 4 real matrix:

(a−b−c−dba−dccda−bd−cba).\begin{pmatrix} a & -b & -c & -d \\ b & a & -d & c \\ c & d & a & -b \\ d & -c & b & a \end{pmatrix}.

Alternatively, a 2×22\times 2 complex matrix representation also exists. The norm equals the square root of the determinant, and the conjugate corresponds to the conjugate transpose.

Using Quaternions for 3D Rotation

A major application of quaternions is Quaternion Rotation in three‑dimensional space. Any rotation can be described by an axis (a unit vector va\mathbf{v}_a) and an angle θ\theta. The rotation quaternion is

q=cos⁡θ2+sin⁡θ2 (xai+yaj+zak),q = \cos\frac{\theta}{2} + \sin\frac{\theta}{2}\,(x_a\mathbf{i} + y_a\mathbf{j} + z_a\mathbf{k}),

where va=(xa,ya,za)\mathbf{v}_a = (x_a, y_a, z_a) is a unit vector. To rotate a point v=(x,y,z)\mathbf{v} = (x,y,z), first represent it as a pure quaternion qv=0+xi+yj+zkq_v = 0 + x\mathbf{i} + y\mathbf{j} + z\mathbf{k}. Then compute

qv′=q⋅qv⋅q−1.q_v' = q \cdot q_v \cdot q^{-1}.

The resulting quaternion qv′=0+x′i+y′j+z′kq_v' = 0 + x'\mathbf{i} + y'\mathbf{j} + z'\mathbf{k} directly gives the rotated coordinates (x′,y′,z′)(x', y', z'). The same result can be obtained by converting the quaternion to a rotation matrix.

The Quaternion Rotation Calculator available in this tool handles all the intermediate steps: it converts an arbitrary axis vector to a unit vector, builds the rotation quaternion, and optionally outputs the equivalent rotation matrix.

Practical Example with the Calculator

Suppose you want to find the Hamilton product of

q1=2−i+3j+kq_1 = 2 - \mathbf{i} + 3\mathbf{j} + \mathbf{k} and q2=5−4i+kq_2 = 5 - 4\mathbf{i} + \mathbf{k}.

Using the calculator’s “product” function, you enter the coefficients and obtain both possible products instantly.

Alternatively, to create a rotation quaternion for an axis defined by va=(1,0,−1)\mathbf{v}_a = (1, 0, -1) with a 60∘60^\circ angle, select “quaternion of rotation”, input the axis components and angle, and the tool returns the quaternion as well as the corresponding rotation matrix. This saves you from performing the manual trigonometric and algebraic steps.

The calculator supports all core operations: Add Quaternions, Quaternion Multiplication, Quaternion Norm Calculator, Quaternion Conjugate, Quaternion Inverse Calculator, and rotation‑related computations. Each operation delivers precise results and, when order matters, displays both possible outcomes.

FAQ

1. How do I multiply two quaternions using the calculator?

Select "product" from the operation menu, then enter the four coefficients for each quaternion. The calculator applies the Hamilton product rules and shows both possible results (since multiplication is non‑commutative).

2. What is the difference between a quaternion and a complex number?

A complex number has one real and one imaginary part, while a quaternion has one real and three imaginary parts (i, j, k). Quaternions extend complex numbers and are non‑commutative under multiplication, making them especially useful for 3D rotations.

3. How can I find the inverse of a quaternion?

The inverse of a non‑zero quaternion q is given by q⁻¹ = conj(q) / |q|². The calculator’s inverse function automatically computes this and can also evaluate left and right division (q₁ / q₂ = q₁ · q₂⁻¹ or q₂⁻¹ · q₁).

4. Is the quaternion rotation calculator compatible with non‑unit axes?

Yes. You enter any axis vector (even non‑unit). The tool normalizes it internally and then builds the rotation quaternion using the angle you specify.

5. Can I get a rotation matrix from a quaternion using this tool?

Yes. When you compute a rotation quaternion, the calculator also outputs the equivalent 3×3 rotation matrix, which can be used directly for transforming vectors.

How to Use

  1. Select the quaternion operation you want to perform from the dropdown menu: sum, difference, product, quotient, inverse, magnitude, conjugate, or quaternion of rotation.
  2. Enter the real and imaginary coefficients (a, b, c, d) for the quaternion(s). For rotation mode, provide the axis vector components and the rotation angle.
  3. View the computed result instantly. For products and quotients, both orderings are shown since quaternion multiplication is non-commutative.