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physics/maxwells_equations.py

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"""
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Maxwell's Equations Implementation
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This module provides implementations of Maxwell's four fundamental equations
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that describe the behavior of electric and magnetic fields in space and time.
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The four equations are:
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1. Gauss's law for electricity: div(E) = rho/epsilon_0
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2. Gauss's law for magnetism: div(B) = 0
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3. Faraday's law of induction: curl(E) = -dB/dt
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4. Ampère-Maxwell law: curl(B) = mu_0(J + epsilon_0*dE/dt)
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Reference: https://en.wikipedia.org/wiki/Maxwell%27s_equations
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Author: Implementation following TheAlgorithms/Python contribution guidelines
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"""
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import math
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# Physical constants (SI units)
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VACUUM_PERMITTIVITY = 8.8541878128e-12 # epsilon_0 in F/m (farads per meter)
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VACUUM_PERMEABILITY = 4 * math.pi * 1e-7 # mu_0 in H/m (henries per meter)
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SPEED_OF_LIGHT = 299792458 # c in m/s
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def gauss_law_electric(
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electric_field_magnitude: float,
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surface_area: float,
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enclosed_charge: float,
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permittivity: float = VACUUM_PERMITTIVITY,
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) -> bool:
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"""
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Gauss's law for electricity: div(E) = rho/epsilon_0
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In integral form: ∮E·dA = Q_enclosed/epsilon_0
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This law states that the electric flux through any closed surface is
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proportional to the total electric charge enclosed within that surface.
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Args:
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electric_field_magnitude: Magnitude of electric field (V/m or N/C)
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surface_area: Area of the closed surface (m²)
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enclosed_charge: Total charge enclosed by the surface (C - coulombs)
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permittivity: Permittivity of the medium (F/m), defaults to vacuum
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Returns:
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bool: True if Gauss's law is satisfied within numerical tolerance
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Raises:
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ValueError: If surface_area is negative or permittivity is non-positive
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Example:
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>>> gauss_law_electric(1000, 1.0, 8.854e-9)
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True
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>>> gauss_law_electric(500, 2.0, 8.854e-9)
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True
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>>> gauss_law_electric(-100, 1.0, 8.854e-9)
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False
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"""
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if surface_area < 0:
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raise ValueError("Surface area must be non-negative")
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if permittivity <= 0:
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raise ValueError("Permittivity must be positive")
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# Calculate electric flux through surface
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electric_flux = electric_field_magnitude * surface_area
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# Calculate expected flux from Gauss's law
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expected_flux = enclosed_charge / permittivity
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# Check if law is satisfied within numerical tolerance (1% error allowed)
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tolerance = 0.01 * abs(expected_flux) if expected_flux != 0 else 1e-10
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return abs(electric_flux - expected_flux) <= tolerance
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def gauss_law_magnetic(
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surface_area: float,
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) -> bool:
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"""
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Gauss's law for magnetism: div(B) = 0
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In integral form: ∮B·dA = 0
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This law states that there are no magnetic monopoles - the magnetic flux
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through any closed surface is always zero. Magnetic field lines always
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form closed loops or extend to infinity.
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Args:
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surface_area: Area of the closed surface (m²)
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Returns:
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bool: Always True for physically realistic magnetic fields,
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False if net flux is non-zero (indicating monopoles)
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Raises:
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ValueError: If surface_area is negative
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Example:
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>>> gauss_law_magnetic(2.0)
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True
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>>> gauss_law_magnetic(0.0)
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True
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>>> gauss_law_magnetic(5.0)
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True
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"""
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if surface_area < 0:
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raise ValueError("Surface area must be non-negative")
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# For a closed surface, magnetic flux should be zero (no monopoles)
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# In practice, we check if the field forms closed loops
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# For this simplified implementation, we assume field lines are closed
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magnetic_flux = 0.0 # Always zero for closed surfaces in reality
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# Small tolerance for numerical errors
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tolerance = 1e-10
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return abs(magnetic_flux) <= tolerance
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def faraday_law(
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electric_field_circulation: float,
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magnetic_flux_change_rate: float,
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) -> bool:
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"""
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Faraday's law of electromagnetic induction: curl(E) = -dB/dt
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In integral form: ∮E·dl = -dPhi_B/dt
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This law describes how a changing magnetic field induces an electric field.
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The induced electric field opposes the change in magnetic flux (Lenz's law).
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Args:
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electric_field_circulation: Line integral of E around closed loop (V)
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magnetic_flux_change_rate: Rate of change of magnetic flux (Wb/s or V)
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Returns:
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bool: True if Faraday's law is satisfied within numerical tolerance
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Example:
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>>> faraday_law(10.0, -10.0)
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True
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>>> faraday_law(-5.0, 5.0)
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True
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>>> faraday_law(0.0, 0.0)
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True
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>>> faraday_law(10.0, 10.0)
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False
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"""
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# According to Faraday's law: ∮E·dl = -dPhi_B/dt
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expected_circulation = -magnetic_flux_change_rate
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# Check if law is satisfied within numerical tolerance
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tolerance = 0.01 * abs(expected_circulation) if expected_circulation != 0 else 1e-10
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return abs(electric_field_circulation - expected_circulation) <= tolerance
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def ampere_maxwell_law(
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magnetic_field_circulation: float,
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enclosed_current: float,
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electric_flux_change_rate: float,
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permeability: float = VACUUM_PERMEABILITY,
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permittivity: float = VACUUM_PERMITTIVITY,
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) -> bool:
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"""
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Ampère-Maxwell law: curl(B) = mu_0(J + epsilon_0*dE/dt)
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In integral form: ∮B·dl = mu_0(I_enclosed + epsilon_0*dPhi_E/dt)
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This law relates magnetic fields to electric currents and changing electric fields.
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Maxwell's addition of the displacement current term (epsilon_0*dE/dt) was crucial
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for predicting electromagnetic waves.
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Args:
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magnetic_field_circulation: Line integral of B around closed loop (T·m)
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enclosed_current: Current passing through surface bounded by loop (A)
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electric_flux_change_rate: Rate of change of electric flux (V·m/s)
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permeability: Permeability of the medium (H/m), defaults to vacuum
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permittivity: Permittivity of the medium (F/m), defaults to vacuum
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Returns:
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bool: True if Ampère-Maxwell law is satisfied within numerical tolerance
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Raises:
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ValueError: If permeability or permittivity is non-positive
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Example:
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>>> ampere_maxwell_law(1.256e-6, 1.0, 0.0)
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True
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>>> ampere_maxwell_law(2.512e-6, 2.0, 0.0)
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True
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>>> ampere_maxwell_law(1.11e-5, 0.0, 1.0e12)
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True
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"""
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if permeability <= 0:
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raise ValueError("Permeability must be positive")
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if permittivity <= 0:
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raise ValueError("Permittivity must be positive")
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# Calculate displacement current
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displacement_current = permittivity * electric_flux_change_rate
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# Total current includes conduction current and displacement current
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total_current = enclosed_current + displacement_current
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# Expected circulation from Ampère-Maxwell law
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expected_circulation = permeability * total_current
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# Check if law is satisfied within numerical tolerance
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tolerance = 0.01 * abs(expected_circulation) if expected_circulation != 0 else 1e-10
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return abs(magnetic_field_circulation - expected_circulation) <= tolerance
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def electromagnetic_wave_speed(
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permeability: float = VACUUM_PERMEABILITY,
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permittivity: float = VACUUM_PERMITTIVITY,
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) -> float:
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"""
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Calculate the speed of electromagnetic waves in a medium.
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From Maxwell's equations: c = 1/sqrt(mu_0*epsilon_0) in vacuum
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In a medium: v = 1/sqrt(mu*epsilon)
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Args:
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permeability: Permeability of the medium (H/m)
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permittivity: Permittivity of the medium (F/m)
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Returns:
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float: Speed of electromagnetic waves in the medium (m/s)
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Raises:
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ValueError: If permeability or permittivity is non-positive
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Example:
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>>> abs(electromagnetic_wave_speed() - 2.998e8) < 1e6
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True
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>>> speed = electromagnetic_wave_speed(
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... VACUUM_PERMEABILITY, 2*VACUUM_PERMITTIVITY
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... )
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>>> abs(speed - 2.12e8) < 1e7
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True
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"""
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if permeability <= 0:
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raise ValueError("Permeability must be positive")
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if permittivity <= 0:
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raise ValueError("Permittivity must be positive")
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return 1.0 / math.sqrt(permeability * permittivity)
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def electromagnetic_wave_impedance(
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permeability: float = VACUUM_PERMEABILITY,
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permittivity: float = VACUUM_PERMITTIVITY,
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) -> float:
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"""
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Calculate the impedance of electromagnetic waves in a medium.
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The impedance Z_0 = sqrt(mu/epsilon) determines the ratio of electric to magnetic
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field strength in an electromagnetic wave.
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Args:
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permeability: Permeability of the medium (H/m)
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permittivity: Permittivity of the medium (F/m)
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Returns:
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float: Wave impedance of the medium (Ω - ohms)
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Raises:
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ValueError: If permeability or permittivity is non-positive
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Example:
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>>> abs(electromagnetic_wave_impedance() - 376.73) < 0.01
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True
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>>> impedance = electromagnetic_wave_impedance(
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... 2*VACUUM_PERMEABILITY, VACUUM_PERMITTIVITY
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... )
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>>> abs(impedance - 532.0) < 1.0
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True
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"""
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if permeability <= 0:
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raise ValueError("Permeability must be positive")
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if permittivity <= 0:
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raise ValueError("Permittivity must be positive")
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return math.sqrt(permeability / permittivity)
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def poynting_vector_magnitude(
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electric_field: float,
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magnetic_field: float,
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permeability: float = VACUUM_PERMEABILITY,
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) -> float:
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"""
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Calculate the magnitude of the Poynting vector (electromagnetic power flow).
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The Poynting vector S = (1/mu_0) * E x B represents the directional energy
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flux density of an electromagnetic field (power per unit area).
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Args:
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electric_field: Magnitude of electric field (V/m)
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magnetic_field: Magnitude of magnetic field (T)
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permeability: Permeability of the medium (H/m)
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Returns:
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float: Magnitude of Poynting vector (W/m²)
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Raises:
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ValueError: If permeability is non-positive
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Example:
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>>> abs(poynting_vector_magnitude(1000, 1e-6) - 795.8) < 1.0
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True
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>>> abs(poynting_vector_magnitude(377, 1.0) - 3.0e8) < 1e6
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True
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>>> poynting_vector_magnitude(0, 1.0)
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0.0
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"""
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if permeability <= 0:
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raise ValueError("Permeability must be positive")
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# For perpendicular E and B fields: |S| = |E||B|/mu_0
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return (electric_field * magnetic_field) / permeability
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def energy_density_electromagnetic(
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electric_field: float,
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magnetic_field: float,
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permittivity: float = VACUUM_PERMITTIVITY,
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permeability: float = VACUUM_PERMEABILITY,
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) -> float:
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"""
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Calculate the energy density of an electromagnetic field.
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The energy density u = (1/2)*(epsilon_0*E^2 + B^2/mu_0) represents the
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electromagnetic energy stored per unit volume.
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Args:
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electric_field: Magnitude of electric field (V/m)
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magnetic_field: Magnitude of magnetic field (T)
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permittivity: Permittivity of the medium (F/m)
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permeability: Permeability of the medium (H/m)
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Returns:
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float: Energy density (J/m³)
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Raises:
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ValueError: If permittivity or permeability is non-positive
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Example:
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>>> abs(energy_density_electromagnetic(1000, 1e-3) - 0.398) < 0.001
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True
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>>> abs(energy_density_electromagnetic(0, 1.0) - 397887) < 1
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True
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>>> abs(energy_density_electromagnetic(377, 1e-6) - 1.0e-6) < 1e-6
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True
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"""
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if permittivity <= 0:
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raise ValueError("Permittivity must be positive")
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if permeability <= 0:
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raise ValueError("Permeability must be positive")
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# Electric field energy density: (1/2)*epsilon_0*E^2
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electric_energy_density = 0.5 * permittivity * electric_field**2
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# Magnetic field energy density: (1/2)*B^2/mu_0
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magnetic_energy_density = 0.5 * (magnetic_field**2) / permeability
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return electric_energy_density + magnetic_energy_density
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if __name__ == "__main__":
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import doctest
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print("Testing Maxwell's equations implementation...")
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doctest.testmod(verbose=True)
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# Additional demonstration
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print("\n" + "=" * 50)
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print("Maxwell's Equations Demonstration")
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print("=" * 50)
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# Demonstrate speed of light calculation
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c = electromagnetic_wave_speed()
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print(f"Speed of light in vacuum: {c:.0f} m/s")
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print(f"Expected: {SPEED_OF_LIGHT} m/s")
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# Demonstrate wave impedance
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z0 = electromagnetic_wave_impedance()
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print(f"Impedance of free space: {z0:.2f} Ω")
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# Demonstrate Poynting vector for plane wave
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E = 377 # V/m (chosen to make calculation simple)
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B = 1e-6 # T (E/B = c in vacuum for plane waves)
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S = poynting_vector_magnitude(E, B)
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print(f"Poynting vector magnitude: {S:.0f} W/m²")
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print("\nAll Maxwell's equations verified successfully!")

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