What Are First and Second Order Changes?

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First and second order changes refer to the relationship between changes in variables, with first order indicating a direct proportionality and second order indicating a proportionality to the square of the change. Statements about the absence of first order changes suggest that only second order changes are relevant in the context discussed. First order changes are typically larger and more significant than second order changes, which are much smaller. This distinction is crucial in experimental work and analysis. Understanding these concepts aids in interpreting experimental results accurately.
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Many a times, in papers written on experimental work, there are statements like "there are no first order changes in time, but only those of the second order". What do such statements mean?
 
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In general terms, the order refers to the relationship between change in one variable to change in another. First order means the change in the second variable is proportional to change in the first. Second order means change in the second variable is proportional to the square of the change in the first. Since these terms are used in discussing small changes, a second order change is much smaller than a first order change.
 
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