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Amrutha.phy
- 21
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what is meant by a tensor?
MikeyW said:Reading the wikipedia totally confused me and I'm sure there's more to it, but for everything I ever needed in physics, the above understanding was sufficient.
Most explanations I've ever received were either incorrect (in failing to distinguish between a tensor and a tensor field, and therefore giving me parts of explanations of two different things) or too complex, usually the latter coming from a mathematician.
Wikipedia said:The rigid rotor is a mechanical model that is used to explain rotating systems. An arbitrary rigid rotor is a 3-dimensional rigid object, such as a top.
Wolfram said:Rigid body: a body R, regardless of shape and volume, with the characteristic that the relative distance between any two points of R remains constant, even if the body is acted upon by external forces.
Amrutha.phy said:Can the explanation be more simpler such that XI standard student can understand?
Amrutha.phy said:Can the explanation be more simpler such that XI standard student can understand?
A tensor is a mathematical object that represents a multilinear mapping between vector spaces. It is different from a vector or matrix in that it can have multiple dimensions and can represent more complex transformations.
Tensors have various applications in fields such as physics, engineering, and computer science. They are used to describe physical quantities like stress, strain, and electromagnetic fields, and are also used in machine learning algorithms for data analysis and image recognition.
Tensors are used in many everyday applications, such as GPS navigation, computer graphics, and medical imaging. They are also used in sports analysis, such as calculating the trajectory of a ball in motion.
Tensors can be visualized in some cases, such as in two or three dimensions, but they can become more difficult to visualize in higher dimensions. However, they are not purely abstract concepts and have real-world applications and interpretations.
Having a basic understanding of linear algebra is helpful in understanding tensors, as they build upon concepts such as vectors and matrices. However, with some effort, tensors can be understood without a deep understanding of linear algebra.