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Ch. 6 - Matrices and Determinants
Blitzer - College Algebra 8th Edition
Blitzer8th EditionCollege AlgebraISBN: 9780136970514당신이 사용하는 게 아니라요?교과서 변경
7장, 문제 9b

In Exercises 9 - 16, find the following matrices: b. A - B
Matrices A and B for exercise 9 in college algebra, chapter 7 on systems of equations.

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Step 1: Understand the problem. You are asked to find the matrix A - B, where matrices A and B are given as: A=[4132] and B=[5907].
Step 2: Recall the rule for matrix subtraction. To subtract two matrices, subtract their corresponding elements. That is, if A = [a_{ij}] and B = [b_{ij}], then A - B = [a_{ij} - b_{ij}].
Step 3: Set up the subtraction element-wise. For each element in the resulting matrix, subtract the element in B from the corresponding element in A: A - B = \(\begin{bmatrix}\) 4 - 5 & 1 - 9 \\ 3 - 0 & 2 - 7 \(\end{bmatrix}\).
Step 4: Write the resulting matrix with the subtracted elements (do not calculate the final values yet). This matrix represents the difference between A and B.
Step 5: Verify that both matrices A and B have the same dimensions (2x2), which is necessary for subtraction to be valid.

비슷한 문제에 대한 검증된 영상 답변:

이 영상 해법은 위 문제에 도움이 된다고 튜터들이 추천한 것입니다.
영상 길이:
2m
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주요 개념

질문에 올바르게 답하기 위해 반드시 이해해야 하는 핵심 개념들은 다음과 같습니다.

Matrix Subtraction

Matrix subtraction involves subtracting corresponding elements of two matrices of the same dimensions. Each element in the resulting matrix is found by subtracting the element in matrix B from the element in matrix A at the same position.
추천 영상:
5:56
Adding & Subtracting Functions

Matrix Dimensions and Compatibility

For matrix operations like addition or subtraction, the matrices must have the same dimensions (same number of rows and columns). Here, both matrices A and B are 2x2, making subtraction possible.
추천 영상:
4:35
Introduction to Matrices

Representation of Matrices

A matrix is a rectangular array of numbers arranged in rows and columns. Understanding how to read and write matrices is essential for performing operations like addition, subtraction, and multiplication.
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4:35
Introduction to Matrices