Math Problem Statement

Выбери правильный вариант ответа

При умножении слева на матрицу вида ... выбери правильный вариант ответа

Solution

The task involves determining the type of elementary transformation performed on a matrix when it is multiplied by another matrix of a specific form. Let's analyze the question.

The given matrix has the form:

1 & c & 0 & \cdots & 0 \\ 0 & 1 & 0 & \cdots & 0 \\ 0 & 0 & 1 & \cdots & 0 \\ \vdots & \vdots & \vdots & \ddots & \vdots \\ 0 & 0 & 0 & \cdots & 1 \end{bmatrix}.$$ This matrix corresponds to an **elementary row operation of the first kind** when multiplied with another matrix from the left. Specifically, the operation adds $$c$$ times the second row to the first row. Thus, the correct answer is: **"элементарное преобразование 2-го рода над 1-й и 2-й строками (к первой строке прибавляется 2-я, умноженная на с)."** Would you like more details or clarification? Here are five related questions to deepen understanding: 1. What are the three types of elementary row operations, and how are they applied to matrices? 2. How do elementary matrices correspond to row operations? 3. Can you describe what happens when the order of multiplication is reversed (right multiplication instead of left)? 4. What are some practical applications of using elementary transformations in solving systems of linear equations? 5. How does this transformation affect the determinant of the matrix being multiplied? **Tip:** Always verify the row and column operation by writing out the multiplication explicitly for small matrices to avoid confusion.

Ask a new question for Free

By Image

Drop file here or Click Here to upload

Math Problem Analysis

Mathematical Concepts

Linear Algebra
Elementary Row Operations
Matrix Multiplication

Formulas

Elementary matrix multiplication: A' = EA, where E represents an elementary transformation.

Theorems

Elementary matrices correspond to row operations.
Matrix multiplication involves summing products of rows and columns.

Suitable Grade Level

University-Level Linear Algebra