Compute vector magnitude, unit vector, scalar multiplication, direction angles, and negation for 2D and 3D vectors with component visualization bars and properties table.
Vectors are the building blocks of linear algebra, physics, and engineering. A vector represents both a magnitude (length) and a direction in space. Whether you are solving mechanics problems, computing forces, or working with geometric transformations, understanding a vector's fundamental properties is essential.
This general-purpose vector calculator handles all the basic operations you need for 2D and 3D vectors in one place. Enter your vector's components and instantly see its Euclidean magnitude (L2 norm), the corresponding unit vector (normalized to length 1), the result of scalar multiplication, and the negation. Direction angles — α with the x-axis, β with the y-axis, and γ with the z-axis in 3D — are computed along with their cosines.
Component magnitude bars provide a quick visual comparison of how the vector's "energy" is distributed across dimensions. The properties table collects all computed quantities alongside their formulas, making it a handy reference for homework or exam review. A separate identities table summarizes the key algebraic rules governing vectors and norms.
Toggle between 2D and 3D modes to match your problem's dimensionality. Six built-in presets cover standard basis vectors, 45° diagonals, and common textbook examples — click one to populate the inputs instantly. The calculator updates all outputs in real time as you type, so you can explore how changing a single component affects magnitude, direction, and the unit vector simultaneously.
Computing magnitude, unit vector, direction angles, and scalar products involves square roots, divisions, and inverse trig functions — tedious for 3D and impractical to verify mentally. This calculator combines all fundamental vector operations in one place: magnitude, squared magnitude, unit vector, scalar multiplication, direction cosines, and angle computations for 2D and 3D vectors. Six presets let you explore standard basis vectors, Pythagorean triples, and general cases instantly. It is the ideal single-stop tool for verifying homework on vector basics.
‖v‖ = √(x² + y² + z²); v̂ = v / ‖v‖; cos α = x/‖v‖, cos β = y/‖v‖, cos γ = z/‖v‖
Result: ‖v‖ ≈ 7.0711, v̂ ≈ (0.4243, 0.5657, 0.7071)
‖v‖ = √(9 + 16 + 25) = √50 ≈ 7.0711. Unit vector = (3, 4, 5) / 7.0711 ≈ (0.4243, 0.5657, 0.7071). Direction angle α = arccos(3/7.0711) ≈ 64.90°.
A vector v = (x, y, z) encodes two pieces of information: **direction** (where it points) and **magnitude** (how long it is, ‖v‖ = √(x² + y² + z²)). This dual nature makes vectors the natural representation for physical quantities like velocity, force, and electric fields, all of which have both size and direction. Scalar multiplication kv scales the magnitude by |k| and reverses direction if k < 0. Adding a scalar to every component shifts the vector, but true vector addition combines directions and magnitudes according to the parallelogram law.
The **unit vector** û = v/‖v‖ strips away magnitude, leaving pure direction. Its components are the **direction cosines**: cos α = x/‖v‖, cos β = y/‖v‖, cos γ = z/‖v‖, satisfying cos²α + cos²β + cos²γ = 1. In 2D, a single angle θ = atan2(y, x) suffices. Unit vectors are essential whenever you need direction without scale: normalizing a velocity to get a heading, defining a surface normal for lighting, or constructing an orthonormal basis for coordinate transformations.
In **physics**, forces are vectors — you decompose them into components along axes to apply Newton’s laws. In **computer graphics**, vertex positions, normals, and color gradients are all stored as 3D or 4D vectors. In **data science**, feature vectors in ℝⁿ represent data points, and operations like normalization, projection, and distance computation are daily tools. Understanding the basic operations — magnitude, unit vector, scalar multiplication, and direction — is the foundation on which dot products, cross products, projections, and transformations are built.
A vector is a mathematical object with both magnitude (length) and direction. In coordinate form, a 3D vector v = (x, y, z) represents a displacement or quantity in three-dimensional space.
A unit vector is a vector with magnitude 1, computed as v̂ = v / ‖v‖. It preserves direction but normalizes scale, making it useful for representing pure directions.
Direction angles α, β, γ are the angles a vector makes with the positive x, y, and z axes, respectively. Their cosines (direction cosines) satisfy cos²α + cos²β + cos²γ = 1.
Multiplying by scalar c scales the magnitude by |c|. If c > 0, direction is preserved; if c < 0, direction reverses; if c = 0, the result is the zero vector.
2D vectors have two components (x, y) and live in a plane; 3D vectors have three components (x, y, z) and exist in space. Most formulas generalize directly by adding the z term.
Yes. Negative components indicate the vector points in the negative direction along that axis. The magnitude is always non-negative regardless of component signs.