Paraxial approximation
Paraxial approximation is a simplification used in optics and wave physics to analyze and describe the behavior of light rays and waves under certain conditions. This approximation is particularly useful in the study of lens systems, microscopes, telescopes, and other optical instruments where it aids in understanding the formation of images and the properties of optical systems without the need for complex mathematical calculations.
Overview
The paraxial approximation assumes that light rays and waves propagate at small angles to the optical axis of a system, and that these angles are so small that their sine, tangent, and other trigonometric functions can be approximated by the angle itself, measured in radians. This simplification allows for the linearization of the equations governing light propagation, making them easier to solve.
Application
In practical terms, the paraxial approximation is applied in the design and analysis of optical systems to predict how light will behave as it passes through lenses and reflects off mirrors. It is a cornerstone of geometrical optics, which deals with the approximation of light as rays. This approach simplifies the study of optical systems by reducing the complex wave nature of light to straight-line paths that obey simple rules.
Limitations
While the paraxial approximation greatly simplifies optical calculations, it has its limitations. It is only accurate for small angles and does not account for phenomena such as diffraction and aberration, which become significant in high-precision or wide-angle optical systems. For these cases, more comprehensive models and numerical methods are required to accurately predict the behavior of light.
Mathematical Formulation
Mathematically, the paraxial approximation involves simplifying the Snell's law and the equations for curved mirrors and lenses. For example, in the case of Snell's law, the approximation \(\sin(\theta) \approx \theta\) is used, where \(\theta\) is the angle of incidence or refraction measured from the normal to the surface.
See Also
References
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Paraxial approximation
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Contributors: Prab R. Tumpati, MD