Math Problem Statement

Let A = [[-1, 1, 3], [2, 1, 0]], B = [[-1, 0, 1], [1, 2, 3]], C = [[0, 1], [1, 1]]. Compute expressions like ABC, AB^T - 2C, ATB + C, BA^T. Compute C^2, C^3, C^4, C^5, and observe the pattern. Also, compute C^12.

Solution

Let's break down the exercise step by step.

Matrices Given:

  • A=(113210)A = \begin{pmatrix} -1 & 1 & 3 \\ 2 & 1 & 0 \end{pmatrix}
  • B=(101123)B = \begin{pmatrix} -1 & 0 & 1 \\ 1 & 2 & 3 \end{pmatrix}
  • C=(0111)C = \begin{pmatrix} 0 & 1 \\ 1 & 1 \end{pmatrix}

Task (1):

We are asked to compute the following expressions, but only those that make sense (i.e., valid matrix multiplications):

  • ABCABC
  • ABT2CAB^T - 2C
  • ATB+CATB + C
  • BATBA^T

We need to check the dimensionality of the matrices for valid multiplications.

  1. ABCABC:

    • AA is a 2×32 \times 3 matrix.
    • BB is a 2×32 \times 3 matrix.
    • CC is a 2×22 \times 2 matrix.
    • Matrix multiplication requires matching the inner dimensions, and here ABCABC isn't possible because the inner dimensions don’t match properly between matrices AA, BB, and CC.
  2. ABT2CAB^T - 2C:

    • BTB^T is the transpose of BB, so it becomes a 3×23 \times 2 matrix.
    • AA is 2×32 \times 3, and BTB^T is 3×23 \times 2. So, ABTAB^T is a valid multiplication resulting in a 2×22 \times 2 matrix.
    • Subtracting 2C2C (which is a 2×22 \times 2 matrix) from ABTAB^T is also valid.
    • Thus, ABT2CAB^T - 2C is valid and can be computed.
  3. ATB+CATB + C:

    • This involves multiplying three matrices, where TT is likely the transpose of AA. So ATA^T is 3×23 \times 2.
    • BB is 2×32 \times 3.
    • ATBA^T B results in a 3×33 \times 3 matrix.
    • Adding this to CC, which is a 2×22 \times 2 matrix, isn’t valid due to dimension mismatch. So this operation does not make sense.
  4. BATBA^T:

    • BB is 2×32 \times 3, and ATA^T is 3×23 \times 2.
    • The product BATBA^T results in a valid 2×22 \times 2 matrix.
    • Thus, this operation is valid.

Task (2):

Now we are asked to compute the powers of matrix CC and identify a pattern.

We need to compute:

  • C2C^2
  • C3C^3
  • C4C^4
  • C5C^5
  • Identify the pattern and compute C12C^{12}.

Let's compute these now.Here are the computed powers of matrix CC:

  • C2=(1112)C^2 = \begin{pmatrix} 1 & 1 \\ 1 & 2 \end{pmatrix}
  • C3=(1223)C^3 = \begin{pmatrix} 1 & 2 \\ 2 & 3 \end{pmatrix}
  • C4=(2335)C^4 = \begin{pmatrix} 2 & 3 \\ 3 & 5 \end{pmatrix}
  • C5=(3558)C^5 = \begin{pmatrix} 3 & 5 \\ 5 & 8 \end{pmatrix}

Pattern:

The entries of the matrices seem to follow the Fibonacci sequence:

  • For CnC^n, the matrix entries appear to follow the pattern of successive Fibonacci numbers. For instance:
    • Top left is Fibonacci(nn).
    • Top right and bottom left are Fibonacci(n+1n+1).
    • Bottom right is Fibonacci(n+2n+2).

Using this pattern, we computed:

  • C12=(89144144233)C^{12} = \begin{pmatrix} 89 & 144 \\ 144 & 233 \end{pmatrix}, which continues the Fibonacci sequence.

Would you like more details or have any further questions? Here are 5 related questions you might consider:

  1. Can you derive the general form for CnC^n using Fibonacci numbers?
  2. How does the Fibonacci sequence arise from matrix exponentiation in this case?
  3. Could this pattern be generalized for other matrices similar to CC?
  4. How does matrix multiplication link to linear recurrences like the Fibonacci sequence?
  5. What happens when you raise other 2x2 matrices to successive powers?

Tip: Matrix exponentiation is a powerful tool in solving linear recurrence relations such as the Fibonacci sequence and can provide efficient algorithms for computing large terms.

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Math Problem Analysis

Mathematical Concepts

Matrix Multiplication
Matrix Powers
Fibonacci Sequence
Linear Algebra

Formulas

Matrix Multiplication: (AB)_{ij} = ∑ A_{ik} B_{kj}
Matrix Transpose: (A^T)_{ij} = A_{ji}
Fibonacci Sequence: F(n) = F(n-1) + F(n-2)

Theorems

Properties of Matrix Multiplication
Matrix Exponentiation and Linear Recurrences

Suitable Grade Level

Undergraduate level (Linear Algebra)