Linear operators. 2. Spectral theory : self adjoint operators in Hilbert Space |
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Page 956
Let g = E ( { P . } ) g so that for a Borel set d not containing Poo we have E ( d ) g = 0 and thus for f in Ly ( R ) = S.a ( +1 ) ( m ) E ( dm ) g = ' \ 0 / ( +1 ) ( m ) E ( dm ) g . Since ( vf ) ( P ) = 0 for every f in Ly ( R ) ...
Let g = E ( { P . } ) g so that for a Borel set d not containing Poo we have E ( d ) g = 0 and thus for f in Ly ( R ) = S.a ( +1 ) ( m ) E ( dm ) g = ' \ 0 / ( +1 ) ( m ) E ( dm ) g . Since ( vf ) ( P ) = 0 for every f in Ly ( R ) ...
Page 971
[ x , m ] ( + 1 ) ( m ) = ( 11 - r ) ( m ) . If e is a Borel set of M , and if f is in Ly ( R ) , L2 ( R ) it follows from equation [ ** ] and Theorem 9 ( b ) that 0 T [ E ( e ) } , ] = Xe7 ( fy ) = ( -y , ] XeTf = t [ ( E ( e ) f ) , ] ...
[ x , m ] ( + 1 ) ( m ) = ( 11 - r ) ( m ) . If e is a Borel set of M , and if f is in Ly ( R ) , L2 ( R ) it follows from equation [ ** ] and Theorem 9 ( b ) that 0 T [ E ( e ) } , ] = Xe7 ( fy ) = ( -y , ] XeTf = t [ ( E ( e ) f ) , ] ...
Page 986
( Wiener Ly - closure theorem ) . Linear combinations of the translates of a function f in Ly ( R ) are dense in Ly ( R ) if and only if its transform f does not vanish on the character group of R. PROOF . Let l be the closed linear ...
( Wiener Ly - closure theorem ) . Linear combinations of the translates of a function f in Ly ( R ) are dense in Ly ( R ) if and only if its transform f does not vanish on the character group of R. PROOF . Let l be the closed linear ...
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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