Let V be an inner product space. Let W be a proper subspace V. For ve V, define the reflection of v with respect to W as, Rw (v) = 2 Prw(v) — v. - a.) Show that Rw = Prw - Prw₁. 2 b.) Show that Rw is self-adjoint and that Rw² = I. c.) Show that Rw is an isometry of V.
Let V be an inner product space. Let W be a proper subspace V. For ve V, define the reflection of v with respect to W as, Rw (v) = 2 Prw(v) — v. - a.) Show that Rw = Prw - Prw₁. 2 b.) Show that Rw is self-adjoint and that Rw² = I. c.) Show that Rw is an isometry of V.
Let V be an inner product space. Let W be a proper subspace V. For ve V, define the reflection of v with respect to W as, Rw (v) = 2 Prw(v) — v. - a.) Show that Rw = Prw - Prw₁. 2 b.) Show that Rw is self-adjoint and that Rw² = I. c.) Show that Rw is an isometry of V.
Branch of mathematics concerned with mathematical structures that are closed under operations like addition and scalar multiplication. It is the study of linear combinations, vector spaces, lines and planes, and some mappings that are used to perform linear transformations. Linear algebra also includes vectors, matrices, and linear functions. It has many applications from mathematical physics to modern algebra and coding theory.
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