Is a Homogeneous System of Linear Equations Inconsistent When n Exceeds r?

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In summary, a homogeneous system of r linear equations in n unknowns can be consistent even if the number of equations, n, exceeds the number of unknowns, r. The system is consistent as long as n=r. Therefore, the statement "a homogeneous system of r linear equations in n unknowns is inconsistent if n exceeds r" is false.
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jdstokes
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True of false. A homogeneous system of [itex]r[/itex] linear equations in [itex]n[/itex] unknowns is inconsistent if the number of equations, [itex]n[/itex] exceeds the number of unknowns, [itex]r[/itex]. The questions seems to be implying that [itex]n=r[/itex], in which case the system is consistent. Is this true?

Thanks.

James
 
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  • #2
jdstokes said:
True of false. A homogeneous system of [itex]r[/itex] linear equations in [itex]n[/itex] unknowns is inconsistent if the number of equations, [itex]n[/itex] exceeds the number of unknowns, [itex]r[/itex]. The questions seems to be implying that [itex]n=r[/itex], in which case the system is consistent. Is this true?

Thanks.

James
FALSE
any number of equations CAN BE consistent with any number of unknowns.

here are 5 consistent equations in 2 unknowns:

x + y = 2
2x + 2y = 4
3x + 3y = 6
4x + 4y = 8
5x + 5y = 10

or:

x + y = 0
2x + 2y = 0
3x + 3y = 0
4x + 4y = 0
5x + 5y = 0

etc.
 
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  • #3


The statement is true. If the number of equations, n, exceeds the number of unknowns, r, then the system is inconsistent. This is because in a homogeneous system, all the equations must have the same number of unknowns. If there are more equations than unknowns, it means that at least one equation will have more unknowns than the others, making it impossible for the system to have a solution that satisfies all the equations. In other words, the system is inconsistent because there is no solution that can satisfy all the equations. Therefore, in order for a homogeneous system to be consistent, the number of equations must be equal to or less than the number of unknowns, n must be equal to or less than r.
 

FAQ: Is a Homogeneous System of Linear Equations Inconsistent When n Exceeds r?

What is the Consistency Condition?

The Consistency Condition is a principle in science that states that any new scientific theory or explanation must be consistent with existing well-established theories and observations. This means that the new theory must not contradict or refute any known data or evidence.

Why is the Consistency Condition important in science?

The Consistency Condition is important because it helps maintain the integrity and reliability of scientific knowledge. It ensures that new theories and explanations are not based on faulty or contradictory information, and helps prevent the spread of misinformation and pseudoscience.

How is the Consistency Condition applied in scientific research?

In scientific research, the Consistency Condition is applied by thoroughly reviewing and analyzing existing data, theories, and observations before proposing a new theory or explanation. Scientists also conduct experiments and tests to ensure that their findings are consistent with established knowledge.

Can the Consistency Condition ever be violated in science?

While the Consistency Condition is a fundamental principle in science, there are rare cases where it may be violated. This can happen when new evidence or data contradicts previously accepted theories, leading to a revision or rejection of the old theories. However, this is a natural part of the scientific process and does not undermine the importance of the Consistency Condition.

What are the potential consequences of not following the Consistency Condition?

If scientists do not adhere to the Consistency Condition, it could lead to the spread of false or misleading information, which can have serious consequences. It can also hinder the progress of scientific research and undermine the credibility of the scientific community as a whole.

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