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How To Find Relative Error Using Differentials

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Use Differentials To Estimate The Maximum Error In The Calculated Volume.

Whole Numbers (Long Division) Division with Remainder Integers > Negative Numbers What is Integer Number use differentials to estimate the maximum error in the calculated surface area Rounding Integers Number Line with Integers Ordering and Comparing Integers Adding Integers Adding Integers on a Number Line Subtracting Integers Subtracting Integers on a Number Line

Relative Error Differentials

Multiplying Integers Dividing Integers Exponents and Integers Factors and Multiples > Divisibility of Integers Even Numbers (Integers) Odd Numbers (Integers) Divisibility Rules What are Factors and Multiples Integer Factorization What is a Prime Number Composite Numbers How do you do Prime Factorization Greatest Common Divisor (GCD) Least Common Multiple (LCM) Fractions > What use differentials to estimate the maximum error in the calculated area of the rectangle is Fraction Proper Fractions Improper Fractions Mixed Numbers/Fractions Mixed Numbers on a Number Line Equivalent Fractions Reducing Fractions Adding Fractions with Like Denominators Subtracting Fractions with Like Denominators Adding Fractions with Unlike Denominators Subtracting Fractions with Unlike Denominators Converting Mixed Numbers to Improper Fractions Converting Improper Fractions to Mixed Numbers Adding Fractions with Whole Numbers Subtracting Fractions with Whole Numbers Adding Mixed Numbers Subtracting Mixed Numbers Comparing Fractions Multiplying Fractions Multiplying Mixed Numbers Dividing Fractions by Whole Number Dividing Fractions Dividing Mixed Numbers Reciprocals Negative Exponents Rational Numbers Decimals > What is Decimal Decimals Place Value Rounding Decimals Decimal Number Line Comparing Decimals Powers of 10 Scientific Notation Decimal Fractions Converting Decimals To Fractions Converting Fractions to Decimals Adding Decimals Subtracting Decimals Multiplying Decimals Dividing Decimals by Whole Numbers Dividing Whole Numbers by Decimals Dividing Decimals Repeating (Recurring) Decimals Absolute Value Percents > What is Percent Converting Decimals to Percents Converting Percents to Decimals Irrationa

with: (1) Functions of several variables. (2) Evaluation of partial derivatives, and the chain rules of differentiation. (3) Manipulation of summations in algebraic context. At this mathematical level our presentation can be

Percent Error Differentials

briefer. We can dispense with the tedious explanations and elaborations of previous chapters.

Percent Error Calculus

6.2 THE CHAIN RULE AND DETERMINATE ERRORS If a result R = R(x,y,z) is calculated from a number of how to calculate percent error in volume data quantities, x, y and z, then the relation: [6-1] ∂R ∂R ∂R dR = —— dx + —— dy + —— dz ∂x ∂y ∂z

holds. This is one of http://www.emathhelp.net/notes/calculus-1/differentials/using-differentials-to-estimate-errors/ the "chain rules" of calculus. This equation has as many terms as there are variables.

Then, if the fractional errors are small, the differentials dR, dx, dy and dz may be replaced by the absolute errors ΔR, Δx, Δy, and Δz, and written: [6-2] ∂R ∂R ∂R ΔR ≈ —— Δx + —— Δy + —— Δz ∂x ∂y ∂z Strictly this is no https://www.lhup.edu/~dsimanek/scenario/errorman/calculus.htm longer an equality, but an approximation to DR, since the higher order terms in the Taylor expansion have been neglected. So long as the errors are of the order of a few percent or less, this will not matter. This equation is now an error propagation equation. [6-3] Finally, divide equation (6.2) by R: ΔR x ∂R Δx y ∂R Δy z ∂R Δz —— = —————+——— ——+————— R R ∂x x R ∂y y R ∂z z

The factors of the form Δx/x, Δy/y, etc are relative (fractional) errors. This equation shows how the errors in the result depend on the errors in the data. Eq. 6.2 and 6.3 are called the standard form error equations. They are also called determinate error equations, because they are strictly valid for determinate errors (not indeterminate errors). [We'll get to indeterminate errors soon.] The coefficients in Eq. 6.3 of the fractional errors are of the form [(x/R)(∂R/dx)]. These play the very important role of "weighting" factors in the various error terms. At this point numeric values of the relative errors could be substituted into this equation, along with the other measured quantities, x,

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