MML — Analytic Geometry Flashcards
Inner product is
a positive definite, symmetric bilinear mapping Ω:V×V->ℝ. We typically write ⟨x, y⟩ instead of Ω(x, y)
Euclidean vector space
is a vector space with inner product defined as dot product
Symmetric, positive definite matrix
A symmetric real n×n matrix A that satisfies
∀x∈V{θ} : x^T A x > 0
is called symmetric, positive definite, or just positive definite. If only ≥ holds, then A is called symmetric, positive semidefinite.
Cauchy-Schwarz Inequality
For an inner product vector space the introduced norm satisfies the Cauchy-Schwarz inequality
| ⟨x, y⟩ | ≤ ||x|| ||y||
Metric
d(x, y) := ||x - y|| is called distance between x, y.
The mapping
d: V×V -> ℝ that is (x, y) -> d(x, y)
is called a metric.
Definition of projection
Let V be a vector space and U⊆V a subspace of V. A linear mapping 𝜋: V->U is called a projection if 𝜋^2 = 𝜋∘𝜋 = 𝜋.