- #1
eman2009
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what the differ between eigenstate and eigenfunction ?
An eigenstate is a state of a physical system in which the system's physical properties are well-defined and unchanging. It is represented by a vector in a mathematical space, and is characterized by a single value known as an eigenvalue.
An eigenfunction is a mathematical function that describes the behavior of an eigenstate. It is used to calculate the probability of a system being in a particular state, and is often represented by a complex exponential function.
The main difference between an eigenstate and an eigenfunction is that an eigenstate is a physical state of a system, while an eigenfunction is a mathematical representation of that state. An eigenstate has a well-defined value for a specific physical property, while an eigenfunction describes the behavior of that state.
No, an eigenstate cannot exist without an eigenfunction. The eigenfunction is an essential component in describing the behavior of an eigenstate. Without an eigenfunction, it would not be possible to calculate the properties of the state.
Eigenstates and eigenfunctions are used in many different fields of science, including quantum mechanics, signal processing, and computer science. In quantum mechanics, they are used to describe the states of particles in a physical system. In signal processing and computer science, they are used to analyze and manipulate data in complex systems.