The orthogonality of basis vectors is a fundamental property of cylindrical and spherical coordinate systems. This means their basis vectors are always mutually perpendicular, a fact that is mathematically proven by their dot products consistently equaling zero. This property is critical in physics and engineering as it greatly simplifies complex vector operations and calculations.

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✍️Mathematical Proof

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Orthogonality of Basis Vectors

The core of the verification process is demonstrating that the dot product of any two distinct basis vectors within a coordinate system equals zero.

Cylindrical Coordinates

The tangent vector basis $\left(E_\rho, E_\phi, E_z\right)$ for cylindrical coordinates is proven to be orthogonal. This is shown by the dot products $E_\rho \cdot E_\phi=0, E_\rho \cdot E_z=0$, and $E_\phi \cdot E_z=0$.

Spherical Coordinates

Similarly, the tangent vector basis $\left(E_r, E_\theta, E_{\varphi}\right)$ for spherical coordinates is also verified to be orthogonal. This is confirmed by the dot products $E_r$. $E_\theta=0, E_r \cdot E_{\varphi}=0$, and $E_\theta \cdot E_{\varphi}=0$.

Importance of Orthonormal Cartesian Basis

The verification relies on the fact that the original Cartesian basis vectors ( $e_1, e_2, e_3$ ) are orthonormal, meaning they are mutually perpendicular and have a magnitude of one. This property allows for the straightforward cancellation of terms in the dot product calculations.

Significance in Physics and Engineering

The orthogonality of these bases is a fundamental property that simplifies many mathematical and physical problems, such as vector calculus operations (e.g., gradient, divergence, curl) and solving partial differential equations in these coordinate systems.

🎬Demonstration

Orthogonal coordinate systems have basis vectors that are always perpendicular to each other, regardless of the angles. This is visually represented by the dot product of any two distinct basis vectors always being equal to zero. The demo clearly shows this by calculating and displaying the dot products in real-time as you adjust the angles, demonstrating the fundamental geometric properties of cylindrical and spherical coordinate systems.

how the cylindrical and spherical basis vectors remain perpendicular to each other regardless of their position

how the cylindrical and spherical basis vectors remain perpendicular to each other regardless of their position

✍️Mathematical Proof

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Proving the Cross Product Rules with the Levi-Civita Symbol

Proving the Epsilon-Delta Relation and the Bac-Cab Rule

Simplifying Levi-Civita and Kronecker Delta Identities

Dot Cross and Triple Products

Why a Cube's Diagonal Angle Never Changes

How the Cross Product Relates to the Sine of an Angle

Finding the Shortest Distance and Proving Orthogonality for Skew Lines

A Study of Helical Trajectories and Vector Dynamics

The Power of Cross Products: A Visual Guide to Precessing Vectors

Divergence and Curl Analysis of Vector Fields

Unpacking Vector Identities: How to Apply Divergence and Curl Rules

Commutativity and Anti-symmetry in Vector Calculus Identities

Double Curl Identity Proof using the epsilon-delta Relation

The Orthogonality of the Cross Product Proved by the Levi-Civita Symbol and Index Notation

Surface Parametrisation and the Verification of the Gradient-Normal Relationship

Proof and Implications of a Vector Operator Identity

Conditions for a Scalar Field Identity

Solution and Proof for a Vector Identity and Divergence Problem

Kinematics and Vector Calculus of a Rotating Rigid Body

Work Done by a Non-Conservative Force and Conservative Force

The Lorentz Force and the Principle of Zero Work Done by a Magnetic Field

Calculating the Area of a Half-Sphere Using Cylindrical Coordinates

Divergence Theorem Analysis of a Vector Field with Power-Law Components

Total Mass in a Cube vs. a Sphere

Momentum of a Divergence-Free Fluid in a Cubic Domain

Total Mass Flux Through Cylindrical Surfaces

Analysis of Forces and Torques on a Current Loop in a Uniform Magnetic Field

Computing the Integral of a Static Electromagnetic Field

Surface Integral to Volume Integral Conversion Using the Divergence Theorem

Circulation Integral vs. Surface Integral

Using Stokes' Theorem with a Constant Scalar Field

Verification of the Divergence Theorem for a Rotating Fluid Flow

Integral of a Curl-Free Vector Field

Boundary-Driven Cancellation in Vector Field Integrals

The Vanishing Curl Integral

Proving the Generalized Curl Theorem

Computing the Magnetic Field and its Curl from a Dipole Vector Potential

Proving Contravariant Vector Components Using the Dual Basis

Verification of Orthogonal Tangent Vector Bases in Cylindrical and Spherical Coordinates

Vector Field Analysis in Cylindrical Coordinates

Vector Field Singularities and Stokes' Theorem

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