Math Problem Statement
Solution
Let's analyze and solve the questions one by one based on the image provided:
Problem Summary
- Matrix : It is a diagonal matrix with elements from 1 to 2000, i.e., .
- Matrix : It has mostly zero entries except for three specified values:
- Element at row 1, column 2 is 5.
- Element at row 499, column 499 is -8.
- Element at row 500, column 501 is 3.
- Vector : Defined as .
- Matrix : We are to consider the multiplication .
Now, let’s go through each question in detail.
Question (a)
How many rows and columns does the matrix have?
Since is a 2000x2000 diagonal matrix, must also be a 2000x2000 matrix (to enable addition). Therefore, is a 2000x2000 matrix. When we multiply by , the resulting matrix will have the dimensions of , which is a 2000x1 vector.
- Answer: has 2000 rows and 1 column.
Question (b)
Determine the element in the 1st row and 1st column of .
The entry in the 1st row and 1st column of is given by: Since is mostly zero except for specified entries, we only need to consider the elements affected by and .
- Contribution from : Since is diagonal, .
- Contribution from : Only is non-zero in the first row.
So, we have:
- Answer: The element in the 1st row and 1st column of is 44.
Question (c)
Determine the element in the 500th row and 1st column of .
The entry in the 500th row and 1st column of is given by: Again, we only need to consider the non-zero elements in and for the 500th row.
- Contribution from : .
- Contribution from : The only non-zero element in row 500 of is .
So, we have: Simplify in terms of :
- Answer: The element in the 500th row and 1st column of is .
Would you like additional details or further clarification on any of these steps?
Related Questions:
- How would the structure of change if it were not a diagonal matrix?
- How do we handle large exponent values in calculations involving matrices and vectors?
- What would the result be if had more non-zero entries?
- Can the result in (c) be simplified further for computational efficiency?
- How does the matrix affect the vector compared to applying alone?
Tip:
When working with large powers in matrix computations, always look for ways to express terms in simpler forms using properties of exponents, which can make both manual and computational work easier.
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Math Problem Analysis
Mathematical Concepts
Linear Algebra
Matrix Operations
Vector Multiplication
Diagonal and Sparse Matrices
Formulas
Matrix multiplication formula: (AB)_{i,j} = Σ (A_{i,k} * B_{k,j})
Power of two series: 2^n
Matrix addition and sparse matrix handling
Theorems
Matrix multiplication and elementwise addition properties
Suitable Grade Level
Undergraduate Mathematics
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