Math Problem Statement

Solve

Given vectors B1 = (1,1), B2 = (2,-1), and E = (1,0),(0,1), solve a series of problems including proving bases, expressing vectors in terms of bases, and computing coordinates.

Solution

I will solve the problems in the image step by step. Here's a structured solution:


1. Prove that B1B_1 and B2B_2 form bases in R2\mathbb{R}^2:

To determine if B1=(11)B_1 = \begin{pmatrix} 1 \\ 1 \end{pmatrix} and B2=(21)B_2 = \begin{pmatrix} 2 \\ -1 \end{pmatrix} form a basis, we need to verify that they are linearly independent and span R2\mathbb{R}^2.

Linear Independence:

To check, solve the equation: aB1+bB2=0aB_1 + bB_2 = 0 a(11)+b(21)=(00)a \begin{pmatrix} 1 \\ 1 \end{pmatrix} + b \begin{pmatrix} 2 \\ -1 \end{pmatrix} = \begin{pmatrix} 0 \\ 0 \end{pmatrix} This expands to:

a + 2b = 0 \\ a - b = 0 \end{cases}$$ From $$a - b = 0$$, we have $$a = b$$. Substituting into $$a + 2b = 0$$, gives $$b + 2b = 0$$, hence $$b = 0$$ and $$a = 0$$. Thus, $$B_1$$ and $$B_2$$ are linearly independent. Since there are 2 vectors in $$\mathbb{R}^2$$, they form a basis. --- ### **2. Express the vectors $$\begin{pmatrix} 1 \\ 0 \end{pmatrix}$$ and $$\begin{pmatrix} 0 \\ 1 \end{pmatrix}$$ in terms of $$B_1, B_2$$:** Write $$\begin{pmatrix} 1 \\ 0 \end{pmatrix} = x_1B_1 + x_2B_2$$: $$x_1 \begin{pmatrix} 1 \\ 1 \end{pmatrix} + x_2 \begin{pmatrix} 2 \\ -1 \end{pmatrix} = \begin{pmatrix} 1 \\ 0 \end{pmatrix}$$ Equations: $$x_1 + 2x_2 = 1 \quad (1)$$ $$x_1 - x_2 = 0 \quad (2)$$ From (2), $$x_1 = x_2$$. Substitute into (1): \[ x_2 + 2x_2 = 1 \implies 3x_2 = 1 \implies x

Ask a new question for Free

By Image

Drop file here or Click Here to upload

Math Problem Analysis

Mathematical Concepts

Linear Algebra
Vector Spaces
Basis and Coordinates
Linear Independence
Change of Basis

Formulas

Linear combination: v = a1*v1 + a2*v2 + ...
Matrix representation of basis transformation
Determinant to check linear independence

Theorems

A set of vectors forms a basis if they are linearly independent and span the vector space.

Suitable Grade Level

Undergraduate (Linear Algebra course)