Let (, ) be an inner product in the vector space V. Given an isomorphismT : U H V, Put [u, v] = (Tu, Tv), for any U, V E U. Check thatl Jis an in-house product. Note: From the internal product (:) define a new "internal product (with the mentioned conditions) the inner product axioms must be verified in this new function (u, v] = (Tu, Tv)
Let (, ) be an inner product in the vector space V. Given an isomorphismT : U H V, Put [u, v] = (Tu, Tv), for any U, V E U. Check thatl Jis an in-house product. Note: From the internal product (:) define a new "internal product (with the mentioned conditions) the inner product axioms must be verified in this new function (u, v] = (Tu, Tv)
Let (, ) be an inner product in the vector space V. Given an isomorphismT : U H V, Put [u, v] = (Tu, Tv), for any U, V E U. Check thatl Jis an in-house product. Note: From the internal product (:) define a new "internal product (with the mentioned conditions) the inner product axioms must be verified in this new function (u, v] = (Tu, Tv)
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.
Expert Solution
Step 1
Given is an inner product on vector space over real numbers. Therefore for all and :
and if .
Given is an isomorphism therefore for all and .
Define for all . Now to show that is an in-house product on , it is required to show that satisfies inner product axiom.