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MATHS

Exponent Calculator — powers, negative and fractional

Raise any base to any power, including zero, negative and fractional exponents, with the working shown.

The number being multiplied by itself. Negative bases are allowed.
Whole, negative or fractional. 0.5 means a square root, 1/3 a cube root.
The comparison exponent shows how fast the result grows for one more step.
Result
0
 
0
Scientific notation
0
Reciprocal b−n
0
Comparison result
Growth factor between them
Working:  
Tip: any non-zero base raised to the power 0 equals 1, and a negative exponent means "one divided by the positive power", never a negative answer.
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The exponent calculator above evaluates bn for any base and any power, including the three cases that most simple calculators either refuse or quietly get wrong: an exponent of zero, a negative exponent, and a fractional exponent applied to a negative base. It prints the substituted expression alongside the answer so you can see exactly which rule was applied.

Arb Digital publishes this as part of a free maths toolkit used by students, developers and analysts. Exponents drive compound growth, computer storage sizes, scientific notation and every scaling law in engineering, so understanding what a power actually means matters more than being able to punch it into a keypad.

What This Exponent Calculator Does

Give it a base and an exponent and it returns the value of the power, plus four supporting figures. It shows the result in scientific notation, which is the only readable form once the numbers get very large or very small. It shows the reciprocal — the same base raised to the opposite sign of the exponent — because that relationship is the definition of a negative power. It evaluates a second exponent of your choosing on the same base, and it reports the growth factor between the two results, which makes the pace of exponential growth immediately visible.

The tool accepts negative bases and non-integer exponents, and it tells you when the combination has no real answer rather than printing an error code. Raising a negative number to a fractional power such as 0.5 asks for the square root of a negative, which is not a real number, so the calculator says so and explains why. That single behaviour separates a maths tool from a keypad.

How to Use It

  1. Enter the base. This is the number being repeatedly multiplied. It can be negative, fractional, or between 0 and 1.
  2. Enter the exponent. Use a whole number for standard powers, a negative number for reciprocals, and a decimal such as 0.5 or 0.3333 for roots.
  3. Set the decimal places. Six is a good default. Large integer results are shown in full where the browser can represent them exactly.
  4. Set a comparison exponent. Leave it one step above your main exponent to see the growth rate per step, or set it far away to compare two orders of magnitude.
  5. Read the working line. It restates the calculation with your numbers, including which exponent rule applies — zero power, negative power, or fractional power.

The Formula / How It's Calculated

For a positive whole-number exponent, bn means multiplying b by itself n times: 210 = 2 × 2 × 2 × 2 × 2 × 2 × 2 × 2 × 2 × 2 = 1,024. That is the definition everyone learns, and it is also the definition that breaks down as soon as n is zero, negative or fractional, because you cannot multiply something by itself zero times or minus three times in any literal sense.

The extensions are defined so that one rule keeps working: bm × bn = bm+n. If that rule is to hold, then bn × b0 must equal bn, which forces b0 = 1 for every non-zero base. Similarly bn × b−n must equal b0 = 1, which forces b−n = 1 ÷ bn. And b1/2 × b1/2 must equal b1, which forces b1/2 to be the square root of b. Every "rule" about exponents is a consequence of keeping that addition law consistent, as set out in Wolfram MathWorld's entry on powers.

Internally the calculator uses the identity bn = en ln b for positive bases, which is how virtually all software evaluates powers; the exponential and logarithm functions that identity depends on are defined formally in section 4.2 of the NIST Digital Library of Mathematical Functions. For negative bases with whole-number exponents it works with the magnitude and applies the sign separately, because the logarithm of a negative number is not real.

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Why Anything to the Power of Zero Is 1

Students are usually told to memorise this, which is why it never sticks. The reason is a pattern that is easy to see going downwards. 24 = 16, 23 = 8, 22 = 4, 21 = 2. Each step down divides by 2. Continue the same pattern one more step and 20 must be 2 ÷ 2 = 1. Keep going and 2−1 = 1 ÷ 2 = 0.5, then 2−2 = 0.25. The negative exponents are not a separate rule bolted on; they are the same halving pattern continued past zero.

The one genuine exception is 00. Approaching it one way suggests the answer should be 1 (since b0 = 1 for every non-zero b), and approaching it another way suggests 0 (since 0n = 0 for every positive n). It is an indeterminate form. Most programming languages, and this calculator, return 1 by convention because that value makes polynomial and series formulas work cleanly, but the page tells you it is a convention rather than a derived fact.

Fractional Exponents Are Roots in Disguise

A fractional exponent has a numerator that acts as a power and a denominator that acts as a root: bm/n = the n-th root of bm. So 81/3 is the cube root of 8, which is 2. And 82/3 is the cube root of 8 squared, which is 4. You can take the root first or the power first — the answer is the same for positive bases, though taking the root first usually keeps the intermediate numbers smaller and more accurate.

This is where negative bases cause trouble. (−8)1/3 is genuinely −2, because (−2) × (−2) × (−2) = −8. But (−8)0.3333 entered as a decimal has no real answer, because 0.3333 is not exactly one third, and a root with an even-ish denominator of a negative number is not real. Most calculators return NaN here and leave you guessing. This one explains the distinction and points you to the cube root calculator, which handles negative radicands properly by design.

How Fast Exponential Growth Actually Moves

Linear growth adds the same amount each step. Exponential growth multiplies by the same factor each step, and the difference between the two becomes absurd very quickly. Doubling from 1, you reach roughly a thousand after ten steps (210 = 1,024), a million after twenty, and a billion after thirty. Every ten doublings is very close to a factor of a thousand, which is the shortcut behind the kilobyte, megabyte and gigabyte scale in computing.

The comparison field in this calculator makes that concrete. Set the base to 2 and compare exponent 10 with exponent 11, and the growth factor is exactly 2 — one more doubling. Set the base to 1.07 and compare exponents 10 and 20, and you can see the effect of a 7% growth rate over two decades rather than one. The growth factor is always b raised to the difference between the two exponents, which is another direct consequence of the addition law.

Bases Between 0 and 1 Shrink Instead of Growing

An exponent does not always mean "bigger". If the base is between 0 and 1, raising it to higher powers makes it smaller: 0.51 = 0.5, 0.52 = 0.25, 0.510 = 0.000977. This is the mathematics of decay — half-lives, depreciation, signal attenuation, and the probability of a run of independent events all sitting on this side of the base.

The mirror image is that a base between 0 and 1 with a negative exponent grows, and grows fast: 0.5−10 = 1,024. Reciprocals swap the two behaviours entirely, which is a useful sanity check. If your base is a fraction and your answer got bigger, the exponent must have been negative — and if it did not, something in the input is wrong.

Precision Limits You Should Know About

Browsers do arithmetic in IEEE 754 double-precision floating point, which holds about 15 to 17 significant decimal digits. Integer results stay exact up to 253, which is 9,007,199,254,740,992. Above that, consecutive integers can no longer all be represented and results become approximations, so a very large power may end in zeros that are artefacts rather than true digits. The standard behind this is maintained by the IEEE, and the practical consequence is documented in every language's numeric guide.

Very small results have their own limit: below roughly 10−308 a double underflows towards zero, and very large results above about 10308 overflow to infinity. The calculator flags both cases instead of silently printing 0 or Infinity as if they were answers. For results at that scale, work with the exponent itself rather than the value — which is exactly what the logarithm calculator is for, and why the scientific notation converter exists.

Need a different calculation?

Arb Digital publishes hundreds of free calculators and converters. Every one is free to use, needs no account, and works in the browser without sending your numbers anywhere.

Browse All Free Tools Request a Tool

Common Mistakes to Avoid

  • Reading a negative exponent as a negative answer — 2−3 is 0.125, not −8. The sign belongs to the exponent, not the result.
  • Confusing −24 with (−2)4 — without brackets the power binds tighter than the minus sign, giving −16 rather than +16.
  • Multiplying the exponents when you should add them — bm × bn = bm+n, while (bm)n = bmn. They are different operations.
  • Typing 0.3333 for one third — a truncated decimal is not the same exponent, and with a negative base it changes a real answer into an undefined one.
  • Trusting every digit of a huge result — beyond about 16 significant figures, floating-point output is an approximation, not an exact integer.

Related Free Tools From Arb Digital

Exponents and logarithms are inverse operations, so the logarithm calculator answers the reverse question. For the specific cases of index 1/2 and 1/3, use the square root calculator or the cube root calculator, both of which give simplified exact forms. Large results are easier to read through the scientific notation converter, and mixed expressions are quickest in the scientific calculator. The full free online tools hub has the rest.

Frequently Asked Questions

Why is any number to the power of zero equal to 1?

Because the rule b to the m times b to the n equals b to the m plus n must keep working. Setting n to zero forces b to the zero to be 1 for every non-zero base. You can also see it as the pattern 8, 4, 2 continuing to 1 when you keep dividing by the base.

What does a negative exponent mean?

It means the reciprocal of the positive power. 2 to the power −3 equals 1 divided by 2 cubed, which is 0.125. The result is never negative because of the exponent alone; only a negative base with an odd exponent produces a negative answer.

What is a fractional exponent?

The denominator is a root and the numerator is a power. b to the power m over n is the n-th root of b to the power m. So 8 to the power 2/3 is the cube root of 8 squared, which equals 4.

Can I raise a negative number to a fractional power?

Only when the root involved is odd. The cube root of −8 is −2, so (−8) to the power 1/3 is real. The square root of a negative number is not real, so (−8) to the power 0.5 has no real answer and the calculator says so.

What is 0 to the power of 0?

It is an indeterminate form. Arguments from two directions give 1 and 0, so no single value is forced. Most software, including this calculator, returns 1 by convention because it keeps polynomial and series formulas consistent.

Is −2 to the power 4 the same as (−2) to the power 4?

No. Without brackets the exponent applies to 2 first and the minus sign is applied afterwards, giving −16. With brackets the whole of −2 is raised to the fourth power, giving +16. Always bracket a negative base.

Why do very large powers show rounded digits?

Browsers use double-precision floating point, which is exact for integers only up to 2 to the power 53. Beyond that, results are stored as the nearest representable value, so trailing digits are approximations rather than true digits.

This tool is provided for general educational use. Results at extreme magnitudes are limited by double-precision floating-point arithmetic, so verify critical calculations with exact or symbolic software.

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