Linear operators. 2. Spectral theory : self adjoint operators in Hilbert Space |
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Page 1248
However , the first matrix on the right is not an isometry , but only a partial isometry in the precise sense given in the following definition . 4 DEFINITION . A bounded linear operator P in Hilbert space v is called a partial isometry ...
However , the first matrix on the right is not an isometry , but only a partial isometry in the precise sense given in the following definition . 4 DEFINITION . A bounded linear operator P in Hilbert space v is called a partial isometry ...
Page 1249
Thus PP * is a projection whose range is N = PM , the final domain of P. To complete the proof it will suffice to show that P * P is a projection if P is a partial isometry . Let x , v E M , the initial domain of P. Then the identity ...
Thus PP * is a projection whose range is N = PM , the final domain of P. To complete the proof it will suffice to show that P * P is a projection if P is a partial isometry . Let x , v E M , the initial domain of P. Then the identity ...
Page 1705
It follows from Lemma 3.47 that foszl is a solution of the partial differential equation ( 1 ) Telo Sal ) = ay ( Ex ) ɛP - IJ losz ) = { " ( go Sz ' ) , | JSP in the domain ε - 11 . Let ε be so small that the domain ε - 11 contains the ...
It follows from Lemma 3.47 that foszl is a solution of the partial differential equation ( 1 ) Telo Sal ) = ay ( Ex ) ɛP - IJ losz ) = { " ( go Sz ' ) , | JSP in the domain ε - 11 . Let ε be so small that the domain ε - 11 contains the ...
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additive adjoint operator algebra analytic assume B-algebra basis belongs Borel set boundary conditions boundary values bounded called clear closed closure commutative compact complex Consequently consider constant contains converges Corollary corresponding defined Definition denote dense determined eigenvalues element equal equation Exercise exists extension fact finite dimensional follows formal formal differential operator formula function function f given Hence Hilbert space Hilbert-Schmidt ideal identity independent inequality integral interval isometric isomorphism Lemma limit linear matrix measure multiplicity neighborhood norm normal operator obtained orthonormal positive preceding present projection proof properties prove range regular representation respectively restriction result satisfies seen sequence shown shows solution spectral spectrum square-integrable statement subset subspace sufficient Suppose symmetric Theorem theory topology transform uniformly unique unit unitary vanishes vector zero