Skalarprodukt-Rechner

Geben Sie zwei Vektoren in 2D, 3D oder mit bis zu 50 Dimensionen ein, um das Skalarprodukt, den Winkel zwischen ihnen sowie die skalare und die vektorielle Projektion zu erhalten.

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Skalarprodukt-Rechner

The Dot Product Calculator computes the scalar product of two vectors in 2D, 3D, or higher dimensions using the algebraic formula \(\vec{a} \cdot \vec{b} = \sum_{i=1}^{n} a_i b_i\). Enter the components of your two vectors to instantly get the dot product, angle between vectors, magnitudes, scalar and vector projections, geometric interpretation, and a step-by-step solution with an interactive vector diagram.

Real-World Applications

⚡

Physics: Work

W = F · d calculates work done by a force

💡

Lighting

Lambertian shading uses N · L for brightness

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Machine Learning

Cosine similarity measures document relevance

🎮

Game Dev

Collision detection and field-of-view checks

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Signal Processing

Correlation between signals via inner product

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Engineering

Resolving force components along directions

Key Formulas

Property	Formula	Description
Dot Product	\(\vec{a} \cdot \vec{b} = \sum a_i b_i\)	Sum of component-wise products
Geometric Form	\(\vec{a} \cdot \vec{b} = \|\vec{a}\|\|\vec{b}\|\cos\theta\)	Product of magnitudes times cosine of angle
Angle	\(\theta = \arccos\frac{\vec{a} \cdot \vec{b}}{\|\vec{a}\|\|\vec{b}\|}\)	Angle between the two vectors (0° to 180°)
Magnitude	\(\|\vec{a}\| = \sqrt{\sum a_i^2}\)	Length (Euclidean norm) of a vector
Scalar Projection	\(\text{comp}_{\vec{b}}\vec{a} = \frac{\vec{a} \cdot \vec{b}}{\|\vec{b}\|}\)	Signed length of a's shadow on b
Vector Projection	\(\text{proj}_{\vec{b}}\vec{a} = \frac{\vec{a} \cdot \vec{b}}{\|\vec{b}\|^2}\vec{b}\)	Vector component of a along b

Dot Product vs. Cross Product

Dot Product (a · b)

Ergibt einen Skalar. Funktioniert in jeder Dimension (2D, 3D, nD). Misst, wie stark zwei Vektoren in dieselbe Richtung zeigen. Null, wenn die Vektoren senkrecht zueinander stehen. Wird für Projektionen, Winkel und Arbeitsberechnungen verwendet.

Cross Product (a × b)

Ergibt einen Vektor, der senkrecht zu beiden Eingabevektoren steht. Nur in 3D (und 7D) definiert. Der Betrag entspricht der Fläche des von den Vektoren aufgespannten Parallelogramms. Null, wenn die Vektoren parallel sind. Wird für Drehmoment-, Normalen- und Flächenberechnungen verwendet.

Understanding the Geometric Interpretation

The dot product has a deep geometric meaning: \(\vec{a} \cdot \vec{b} = |\vec{a}||\vec{b}|\cos\theta\). This tells us:

Positive dot product (θ < 90°): vectors point in a generally similar direction.
Skalarprodukt gleich null (θ = 90°): Die Vektoren stehen senkrecht (orthogonal) zueinander — dies ist die Grundlage der Orthogonalitätstests in der linearen Algebra.
Negative dot product (θ > 90°): vectors point in generally opposite directions.

The scalar projection of \(\vec{a}\) onto \(\vec{b}\) gives the signed length of \(\vec{a}\)'s "shadow" when light shines perpendicular to \(\vec{b}\). The vector projection gives this shadow as an actual vector along \(\vec{b}\).

How to Use the Dot Product Calculator

Select the dimension: Choose 2D, 3D, 4D, or Custom for higher dimensions. Click a quick example to auto-fill sample values.
Enter Vector a: Type the components separated by commas (e.g., 3, 4, 5 for a 3D vector).
Vektor b eingeben: Gib die Komponenten des zweiten Vektors in derselben Dimension ein.
Live-Vorschau beobachten: Das Vektordiagramm wird in Echtzeit aktualisiert, während du tippst, und zeigt die räumliche Beziehung sowie den Winkel zwischen den Vektoren.
Auf Berechnen klicken: Klicke die Schaltfläche, um alle Ergebnisse zu erhalten: Skalarprodukt, Winkel, Beträge, Projektionen, Interpretation und schrittweise Formeln.

Properties of the Dot Product

Commutative: \(\vec{a} \cdot \vec{b} = \vec{b} \cdot \vec{a}\)
Distributive: \(\vec{a} \cdot (\vec{b} + \vec{c}) = \vec{a} \cdot \vec{b} + \vec{a} \cdot \vec{c}\)
Scalar multiplication: \((k\vec{a}) \cdot \vec{b} = k(\vec{a} \cdot \vec{b})\)
Self dot product: \(\vec{a} \cdot \vec{a} = |\vec{a}|^2\) (square of the magnitude)
Cauchy-Schwarz inequality: \(|\vec{a} \cdot \vec{b}| \leq |\vec{a}||\vec{b}|\)

FAQ

What is the dot product of two vectors?

The dot product (also called scalar product or inner product) of two vectors a and b is the sum of the products of their corresponding components: a · b = a₁b₁ + a₂b₂ + ... + aₙbₙ. It produces a single scalar value, not a vector. Geometrically, it equals |a||b|cos θ, where θ is the angle between the vectors.

How do you find the angle between two vectors using the dot product?

Use the formula θ = arccos(a · b / (|a| × |b|)). First compute the dot product, then divide by the product of the two magnitudes to get cos θ, and finally take the inverse cosine. The result is always between 0° and 180°.

What does it mean when the dot product is zero?

When the dot product of two non-zero vectors is zero, the vectors are perpendicular (orthogonal), meaning they form a 90° angle. This is one of the most important properties of the dot product and is widely used in linear algebra, physics, and computer graphics to test orthogonality.

What is the difference between dot product and cross product?

The dot product produces a scalar and measures how much two vectors align. It works in any dimension. The cross product produces a vector perpendicular to both inputs and is only defined in 3D. The dot product is used for angles and projections; the cross product is used for torque, surface normals, and area calculations.

What is vector projection?

The vector projection of a onto b is the component of vector a that lies along the direction of b. It equals (a · b / |b|²) × b. The scalar projection (also called the component) is a · b / |b|, giving the signed length of this projection. If the scalar projection is positive, a has a component in the direction of b; if negative, it points opposite to b.

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"Skalarprodukt-Rechner" unter https://MiniWebtool.com/de/skalarprodukt-rechner/ von MiniWebtool, https://MiniWebtool.com/

by miniwebtool team. Updated: 2026-04-09

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Skalarprodukt-Rechner

Skalarprodukt-Rechner

Real-World Applications

Key Formulas

Dot Product vs. Cross Product

Dot Product (a · b)

Cross Product (a × b)

Understanding the Geometric Interpretation

How to Use the Dot Product Calculator

Properties of the Dot Product

FAQ

Lineare Algebra:

Mathe-Löser

Zahlen und Faktoren

Brüche und Division

Potenzen, Wurzeln und Logarithmen

Algebra und Gleichungen

Analysis

Geometrie und Trigonometrie

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