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31 Cards in this Set

  • Front
  • Back
State: The complex spectral theorem.
What is the Pythagorean theorem?
State: The complex spectral theorem.
State: The complex spectral theorem.
State the Cauchy Schwarz inequality.
State the triangle inequality (using norms).
State the parallelogram equality.
State: The generalized Pythagorean identity.
Let (v1,...vn) be an orthogonal basis of V and let v=a1v1+...+anvn. How do you compute ai?
How do you calculate u3 in the Gram Schmidt process?
Define: Unitary matrix.
How do you calculate the projection of v2 on v1?
Let (V, <,>) be an inner product space with orthonormal basis B=(e1, ...., en).Let v be an element of V.
1. What are the Fourier coefficients?
2. What is the Fourier expansion?
What is Parseval’s identity?
State: Bessel’s inequality.
Give the sum formula for the projection of v on u.
State: The Riesz representation theorem.
Define: The adjoint of T.
Define: The dual space of V.
Every operator, T, on a finite-dimesnsional, nonzero, complex vector space V has an _____.
eigenvalue
Suppose TL(v) has an upper triangular matrix wrt some basis of V. Then what conditions do the diagonal entries have to fulfill in order for the matrix to be invertible?
The diagonal entries must be nonzero.
Suppose V is a complex vector space and T is an element of L(v). Then there exists a basis B of V such that m_B(T)...
is upper triangular.
Let TeL(v) and let U be a subspace of V. What does it mean for U to invariant under T (or T-invariant)?
T(u) is an element of U.
Suppose TeL(v)has an upper triangular matrix wrt some basis V. What are the eigenvalues of T?
The diagonal entries of the matrix.
Define: Self-adjoint.
T=T*
Every eigenvalue of a self adjoint operator is...
real.
Let V be a complex IPS, and let TL(v). Then T is self adjoint iff
<T(v),v>eR
If T:VV, and T is self adjoint (ie. T=T*), then there is an orthonormal basis of eigenvectors and all eigenvalues are ...
real
When is TeL(v) normal?
When TT*=T*T.
Supposse TeL(v) is normal. If veV is an eigenvector of T with eigenvalue a, then v is also an eigenvalue of T* with eigenvalue ___
conjugate of a
If TL(v) is normal, then eigenvectors of T corresponding to distinct eigenvalues are
orthogonal
TL(v) has a diagonal matrix representation (wrt some basis V) iff ...
V has a basis consisting of eigenvectors of T.
How can you rewrite x^2+ax+b?