Linear Operators: Spectral theory |
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Page 1310
Then the boundary conditions are real, and there is eractly one solution p(t, A) of
(r—A) p = 0 square-integrable at a and satisfying the boundary conditions at a,
and exactly one solution p(t, A) of (t–A) p = 0 square-integrable at b and satisfying
...
Then the boundary conditions are real, and there is eractly one solution p(t, A) of
(r—A) p = 0 square-integrable at a and satisfying the boundary conditions at a,
and exactly one solution p(t, A) of (t–A) p = 0 square-integrable at b and satisfying
...
Page 1329
Then the boundary conditions are real, and there is exactly one solution p(t, A) of
(t–A)0 = 0 square-integrable at a and satisfying the boundary conditions at a, and
ea actly one solution p(t, 2) of (t—A)0 = 0 squareintegrable at b satisfying the ...
Then the boundary conditions are real, and there is exactly one solution p(t, A) of
(t–A)0 = 0 square-integrable at a and satisfying the boundary conditions at a, and
ea actly one solution p(t, 2) of (t—A)0 = 0 squareintegrable at b satisfying the ...
Page 1552
sq(t)}/2]. " 44(t)}/2. s. Q(t)-1/2 dt = 00 for all A, then the essential spectrum of r is
the entire real axis. F5 Using the device of ... (c) If it is also assumed that q is
bounded, then any solution which is linearly independent of a square-integrable
...
sq(t)}/2]. " 44(t)}/2. s. Q(t)-1/2 dt = 00 for all A, then the essential spectrum of r is
the entire real axis. F5 Using the device of ... (c) If it is also assumed that q is
bounded, then any solution which is linearly independent of a square-integrable
...
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Contents
SPECTRAL THEORY | 858 |
Bounded Normal Operators in Hilbert Space | 887 |
Miscellaneous Applications | 937 |
Copyright | |
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additive Akad algebra Amer analytic applied assume Banach spaces basis belongs Borel boundary conditions boundary values bounded called clear closed closure coefficients compact complete Consequently constant contains continuous converges Corollary corresponding defined Definition denote dense determined domain eigenvalues element equal equation essential spectrum evident Exercise exists extension finite follows formal differential operator formula function function f given Hence Hilbert space identity independent indices inequality integral interval Lemma limit linear mapping Math measure multiplicity neighborhood norm obtained partial positive preceding present problem projection PRoof properties prove range regular remark representation respectively restriction result satisfies seen sequence singular solution spectral square-integrable statement subset subspace sufficiently Suppose symmetric Theorem theory topology transform unique vanishes vector zero