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Set 02 — Linear Algebra & Spectral Theory
Spectral Theorem for Self-Adjoint Operators Let \(A\) be a self-adjoint linear operator on a finite-dimensional complex inner-product space. Then there exists an orthonormal basis of eigenvectors of \(A\), and the corresponding eigenvalues are necessarily real. In matrix language every Hermitian matrix is unitarily diagonalizable.
The infinite-dimensional analogue requires the additional hypothesis that \(A\) be compact, or more generally that it be normal and that the underlying Hilbert space be separable.
Cayley–Hamilton Theorem Every square matrix \(A\in M_n(\mathbb{F})\) satisfies its own characteristic equation: if \(p_A(t)=\det(tI-A)\), then \(p_A(A)=0\). Consequently the minimal polynomial of \(A\) divides the characteristic polynomial, and the two share exactly the same irreducible factors.
Rank-Nullity Theorem For any linear map \(T:V\to W\) between finite-dimensional vector spaces one has \(\dim\ker T+\dim\operatorname{im}T=\dim V\). The identity remains valid for infinite-dimensional spaces provided one interprets dimension as cardinal number, though the proof then relies on the axiom of choice.
Singular-Value Decomposition Every complex \(m\times n\) matrix \(A\) admits a factorization \(A=U\Sigma V^*\) where \(U\) and \(V\) are unitary and \(\Sigma\) is a rectangular diagonal matrix whose non-negative diagonal entries are the singular values of \(A\). The singular values are precisely the square roots of the eigenvalues of the positive-semidefinite operators \(A^*A\) and \(AA^*\).
Jordan Canonical Form Over an algebraically closed field every square matrix is similar to a unique (up to permutation of blocks) block-diagonal matrix whose diagonal blocks are Jordan blocks. The sizes of the blocks belonging to a given eigenvalue are completely determined by the dimensions of the kernels of the successive powers of \(A-\lambda I\).

Interested in a future in business, accounting, or finance? This program prepares you for a career in fields like management, marketing, and even law. With the right electives and guidance from faculty advisors, students can also tailor their path to meet transfer requirements to pursue higher business-related degrees too. Whether you’re crunching numbers or planning big-picture strategy, this program helps you get started with the skills today’s business world demands.

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