First let us take care of the trivial case: If A consists entirely of zeroes, prove that H = A = J. Thus we can assume for the rest of the Exercise that A is a non-zero matrix. Explain why rowspace(H) = rowspace(A) = rowspace(J). Explain why the number of non-zero rows of H must be the same as the number of non-zero rows of J. Hint: what does this number represent?

Advanced Engineering Mathematics
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ISBN:9780470458365
Author:Erwin Kreyszig
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Chapter2: Second-order Linear Odes
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2.3 #9 

The question is in the pictures

Please answer a, b and c

9. Proof of Theorem 1.5.3: The Uniqueness of the Reduced Row Echelon Form:
We are now in a position to prove that if A is an m × n matrix, and we obtain two
matrices H and J from A using a finite sequence of elementary row operations, and both
H and J are in reduced row echelon form, then H = J. Thus, the rref of A is unique. We
will use the Principle of Mathematical Induction.
Transcribed Image Text:9. Proof of Theorem 1.5.3: The Uniqueness of the Reduced Row Echelon Form: We are now in a position to prove that if A is an m × n matrix, and we obtain two matrices H and J from A using a finite sequence of elementary row operations, and both H and J are in reduced row echelon form, then H = J. Thus, the rref of A is unique. We will use the Principle of Mathematical Induction.
First let us take care of the trivial case: If A consists entirely of zeroes, prove that
H = A = J.
а.
Thus we can assume for the rest of the Exercise that A is a non-zero matrix.
b.
Explain why rowspace(H) = rowspace(A) = rowspace(J).
Explain why the number of non-zero rows of H must be the same as the number of
non-zero rows of J. Hint: what does this number represent?
Thus, we can conclude that both H and J have k non-zero rows, for some positive
number k. We must now show that every pair of corresponding rows are equal. We
will start with the last non-zero row because it has the most number of zeroes.
с.
Before we look at the general case, let us look at a numeric warm-up:
Transcribed Image Text:First let us take care of the trivial case: If A consists entirely of zeroes, prove that H = A = J. а. Thus we can assume for the rest of the Exercise that A is a non-zero matrix. b. Explain why rowspace(H) = rowspace(A) = rowspace(J). Explain why the number of non-zero rows of H must be the same as the number of non-zero rows of J. Hint: what does this number represent? Thus, we can conclude that both H and J have k non-zero rows, for some positive number k. We must now show that every pair of corresponding rows are equal. We will start with the last non-zero row because it has the most number of zeroes. с. Before we look at the general case, let us look at a numeric warm-up:
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