Math Problem Statement
Let v= [1,2] be a vector in the plane and let A = 2[[1/sqrt(2), - 1/sqrt(2)], [1/sqrt(2), 1/sqrt(2)]]. What is (A^8)v?
Solution
We are given the following:
- Vector
- Matrix
- We need to find .
Step 1: Simplifying the matrix
The matrix can be rewritten as:
= \begin{bmatrix} \sqrt{2} & -\sqrt{2} \\ \sqrt{2} & \sqrt{2} \end{bmatrix}.$$ ### Step 2: Diagonalization of $$A$$ Matrix $$A$$ can be related to a rotation and scaling transformation. To proceed with powers of $$A$$, we attempt to diagonalize it. Since $$A$$ involves rotations, one approach is to observe that $$A$$ represents a scaling by $$2$$ and a rotation by 45° (counterclockwise). Powers of such matrices can often be simplified by recognizing this pattern. ### Step 3: Powers of a rotation matrix The matrix $$A$$ corresponds to a rotation by 45° with a scaling factor. Each power of $$A$$ rotates the vector by additional multiples of 45° while maintaining the scaling factor of $$2$$. Thus, $$A^8$$ represents a rotation by $$8 \times 45^\circ = 360^\circ$$, which brings the vector back to its original orientation. Since $$A$$ scales vectors by a factor of $$2$$, $$A^8$$ scales the vector by $$2^8 = 256$$. ### Step 4: Applying $$A^8$$ to the vector $$v$$ Since $$A^8$$ is a scaled identity matrix (after a full rotation), we have: $$(A^8) v = 256 v = 256 \begin{bmatrix} 1 \\ 2 \end{bmatrix} = \begin{bmatrix} 256 \\ 512 \end{bmatrix}.$$ ### Final Answer: $$(A^8) v = \begin{bmatrix} 256 \\ 512 \end{bmatrix}.$$ Would you like any further details or explanations? Here are 5 related questions for further exploration: 1. What is the geometric interpretation of matrix powers in transformations? 2. How can we diagonalize a 2x2 matrix to simplify power computations? 3. What happens to the vector when applying a rotation matrix multiple times? 4. How do you compute powers of a general 2x2 matrix? 5. What is the significance of scaling in linear transformations? **Tip:** When dealing with powers of a matrix, always check if the matrix represents a rotation or scaling, as it can significantly simplify the computation.Ask a new question for Free
By Image
Drop file here or Click Here to upload
Math Problem Analysis
Mathematical Concepts
Linear Algebra
Matrix Operations
Rotations
Scaling Transformations
Formulas
Matrix multiplication formula
Rotation matrix
Scaling factor
Theorems
Rotation matrix properties
Powers of matrices in transformations
Suitable Grade Level
Undergraduate Level (Linear Algebra Course)
Related Recommendation
Matrix Exponentiation of A^8 Applied to Vector v
Matrix Exponentiation Problem: Finding A^8v with Rotation Matrix
Matrix Diagonalization and A^6 Calculation using Eigenvalues and Eigenvectors
Calculate Matrix Power A^n for A = [[0, 1, 1], [1, 0, 1], [1, 1, 0]]
Matrix Calculation for A^8 - 5A^7 + 7A^6 - 3A^5 + A^4 - 5A^3 + 8A^2 - 2A + I