Figuring symmetries of a differential operator from its eigenfunctions

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The discussion centers on identifying symmetries associated with differential operators and their eigenfunctions. The derivative operator exhibits translational invariance, while the theta operator shows scaling invariance, with each having specific eigenfunctions. The user seeks to determine the symmetries linked to various operators based on their eigenfunctions, noting that physical symmetries correlate with conservation laws. They inquire about deriving finite transformations from infinitesimal ones for operators beyond the basic examples provided. Understanding these relationships could reveal conserved quantities in systems governed by such differential operators.
JPaquim
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So, I understand that the derivative operator, D=\frac{d}{dx} has translational invariance, that is: x \rightarrow x - x_0, and its eigenfunctions are e^{\lambda t}. Analogously, the theta operator \theta=x\frac{d}{dx} is invariant under scalings, that is x \rightarrow \alpha x, and its eigenfunctions are x^\lambda. Taking logarithms and exponentials, I have constructed a sequence of operators and their respective eigenfunctions, all with the property that \{L(\frac{d}{dx})\}f^\lambda(x)=\lambda f^\lambda(x). I've taken a picture and attached it to this post.

My guess is that associated with every single one of these operators is some symmetry, some sort of coordinate transformation x \rightarrow f(x) under which the operator is invariant. For the x\log x \frac{d}{dx} operator, its invariant under x \rightarrow x^k, by inspection. How can I figure out what sort of symmetry a given operator has, given its eigenfunctions?

Physically, symmetries are associated with conservation laws. For a system whose differential equations are governed by this sort of differential operators, what sort of conserved quantities should I expect?
 

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##\frac{d}{dx}## is associated with translational symmetry. An infinitesimal translation is produced by acting on a function with the operator ##1 + \epsilon \frac{d}{dx}##, with ##\epsilon## infinitesimal.

##x \frac{d}{dx}## is associated with scale invariance. An infinitesimal rescaling is produced by acting on a function with the operator ##1 + \epsilon x \frac{d}{dx}##, with ##\epsilon## infinitesimal.

Presumably your other operators ##O## can be associated with symmetry transformations with an infinitesimal transformation being implemented by ##1 + \epsilon O##?
 
Ok, I agree with you. How can I figure out the "finite" version of the transformation from its infinitesimal counterpart?
 
Here is a little puzzle from the book 100 Geometric Games by Pierre Berloquin. The side of a small square is one meter long and the side of a larger square one and a half meters long. One vertex of the large square is at the center of the small square. The side of the large square cuts two sides of the small square into one- third parts and two-thirds parts. What is the area where the squares overlap?

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