Math Problem Statement
Solve
Solution
I will solve the problems in the image step by step. Here's a structured solution:
1. Prove that and form bases in :
To determine if and form a basis, we need to verify that they are linearly independent and span .
Linear Independence:
To check, solve the equation: 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 xAsk a new question for Free
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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)
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