Linear Algebra: Geometric Interpretation of Self-Adjoint Operators

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The discussion centers on the geometric interpretation of self-adjoint operators in linear algebra, specifically regarding the proximity of a linear transformation T to having an eigenvalue. It posits that if there exists a unit vector v such that the transformation T applied to v is nearly a scalar multiple of v, then the scalar associated with this transformation is close to an eigenvalue. The concept is likened to the convergence of functions, emphasizing that the relationship between T and v indicates the potential existence of an eigenvalue. This highlights the significance of self-adjoint operators in understanding eigenvalues geometrically. The discussion concludes that the condition provided suggests a strong link between the behavior of T and the eigenvalue spectrum.
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Homework Statement


I'm not interested in the proof of this statement, just its geometric meaning (if it has one):

Suppose T \in L(V) is self-adjoint, \lambda \in F, and \epsilon > 0. If there exists v \in V such that ||v|| = 1 and || Tv - \lambda v || < \epsilon, then T has an eigenvalue \lambda ' such that | \lambda - \lambda ' | < \epsilon.

Homework Equations


n/a

The Attempt at a Solution


I thought this was similar to the statement that a function f(x) converges to a certain value(?)
 
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Eigenvectors are vectors v, such that T(v) is a multiple of v and the the eigenvalues are those constant multiples. This says that if you can find a unit vector v, such that T(v) is 'almost' a multiple of itself (lambda*v), then lambda is 'almost' an eigenvalue.
 
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Question: A clock's minute hand has length 4 and its hour hand has length 3. What is the distance between the tips at the moment when it is increasing most rapidly?(Putnam Exam Question) Answer: Making assumption that both the hands moves at constant angular velocities, the answer is ## \sqrt{7} .## But don't you think this assumption is somewhat doubtful and wrong?

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