Mathematics · Linear Algebra

Rank–Nullity Dimension linear-map rank Solver

Rearrange the rank–nullity dimension relationship and solve for linear-map rank.

Runs locally
Your numbers

Inputs and results stay in this browser. Change one value at a time to explore the relationship.

Your inputCalculatedPassed forward in chains
linear-map rank7
Reconstructed domain dimension10

Calculation steps

  1. Use a=c−b with domain dimension=10 and nullity=3.
  2. linear-map rank=7.
  3. Substitution into c=a+b reconstructs 10.

Understand Rank–Nullity Dimension: solve linear-map rank

One idea, three depths

Choose how deeply to explain Rank–Nullity Dimension: solve linear-map rank

Rank–Nullity Dimension: solve linear-map rank: Rearrange the rank–nullity dimension relationship and solve for linear-map rank.

Age 5Explain it to a 5-year-oldStart with a picture

Imagine using Rank–Nullity Dimension: solve linear-map rank to answer this question: rearrange the rank–nullity dimension relationship and solve for linear-map rank? Enter domain dimension and nullity; the calculator shows linear-map rank. For example: linear-map rank=7 and nullity=3 produce domain dimension=10. The answer tells you linear-map rank.

Age 15Explain it to a 15-year-oldConnect it to the formula

The rank–nullity theorem decomposes a finite-dimensional domain into image and kernel dimensions. This page isolates linear-map rank and verifies it in the original relationship. The rule is a=c−b. Its input values are domain dimension, nullity, and the main result is linear-map rank. For example: linear-map rank=7 and nullity=3 produce domain dimension=10.

CollegeExplain it at college levelState the model precisely

This calculator evaluates the stated rank–nullity dimension: solve linear-map rank relation over the valid real-number domain stated below. The implemented relation is a=c−b, evaluated from domain dimension, nullity to produce linear-map rank. The rank–nullity theorem decomposes a finite-dimensional domain into image and kernel dimensions. This page isolates linear-map rank and verifies it in the original relationship. Rank and nullity are non-negative integers measured for the same linear map.

Inputs and valid domain

  • domain dimension must be a finite real number.
  • nullity must be a finite real number.

Important boundary: Rank and nullity are non-negative integers measured for the same linear map.

The formula

a=c−b

How the calculator works through it

It substitutes domain dimension, nullity into the formula and exposes every numerical step above. The main output is linear-map rank, accompanied by Reconstructed domain dimension.

Read the result correctly

The linear-map rank is the direct answer to “rearrange the rank–nullity dimension relationship and solve for linear-map rank.” Read it with the units shown beside the inputs; a sign, angle, percentage or rate changes what the number means.

A worked check

linear-map rank=7 and nullity=3 produce domain dimension=10.

Where this model stops being reliable

Rank and nullity are non-negative integers measured for the same linear map.

Learn it by changing one value

Begin with the worked example, then change one value while keeping the others fixed. Compare the new result and calculation steps to identify which part of the formula changed.

Dictionary terms behind this calculator

Before studying the codeWhat you should know firstUse the calculator immediately, or check the foundations before reading the implementation.

These foundations help you understand why Rank–Nullity Dimension: solve linear-map rank works. They never block the calculator, and “optional” means useful context rather than a hidden requirement.

Hard requirements

  • Reading formulas and substituting values

    Rank–Nullity Dimension: solve linear-map rank uses a=c−b. You need to recognise what each side represents before substituting the stated inputs or rearranging the relationship.

    Review this foundation about 4 min

Strong support

  • Vectors and components

    Component notation helps you follow how Rank–Nullity Dimension: solve linear-map rank combines directional or indexed values.

    Review this foundation about 6 min

Optional enrichment

  • Matrices and linear transformations

    Matrices place Rank–Nullity Dimension: solve linear-map rank inside the wider language of linear systems and transformations.

    Review this foundation about 7 min
Learn the missing foundationsI already know these — show the code

Mathematics → algorithm → program

Implement this calculation in code

These are direct reference implementations of the calculator's principal relationship and first output. They run locally and include a small known-answer check where the language supports it.

Algorithm

  1. Read domain dimension, nullity.
  2. Evaluate the principal relationship: a=c−b.
  3. Return linear-map rank and check the domain conditions described above.
Python
            from math import *

def rank_nullity_dimension_solve_a(c, b) -> float:
    return (c - b)

assert abs(rank_nullity_dimension_solve_a(10, 3) - 7) < 1e-6 * max(1.0, abs(7))
          
Current calculator valuesUpdates when you change an input above.
              
            
C
            #include <assert.h>
#include <math.h>

double rank_nullity_dimension_solve_a(double c, double b) {
    return (c - b);
}

int main(void) {
    const double expected = 7;
    const double actual = rank_nullity_dimension_solve_a(10, 3);
    assert(fabs(actual - expected) < 1e-6 * fmax(1.0, fabs(expected)));
}
          
Current calculator valuesUpdates when you change an input above.
              
            
C++
            #include <cassert>
#include <cmath>
#include <numbers>

double rank_nullity_dimension_solve_a(double c, double b) {
    return (c - b);
}

int main() {
    constexpr double expected = 7;
    const double actual = rank_nullity_dimension_solve_a(10, 3);
    assert(std::fabs(actual - expected) < 1e-6 * std::fmax(1.0, std::fabs(expected)));
}
          
Current calculator valuesUpdates when you change an input above.
              
            
Linux x86-64 assembly

x86-64 NASM · System V ABI · Linux · SSE2 with libm where required

            ; double rank_nullity_dimension_solve_a(double c, double b)
; Linux x86-64 NASM · System V ABI · first eight doubles in xmm0–xmm7
global rank_nullity_dimension_solve_a
section .text

rank_nullity_dimension_solve_a:
    push rbp
    mov rbp, rsp
    sub rsp, 32
    movsd [rbp-8], xmm0
    movsd [rbp-16], xmm1
    movsd xmm0, [rbp-8]
    subsd xmm0, [rbp-16]
    movsd [rbp-24], xmm0
    movsd xmm0, [rbp-24]
    leave
    ret
          
Current calculator valuesUpdates when you change an input above.
              
            
MATLAB
            function result = rank_nullity_dimension_solve_a(c, b)
    result = (c - b);
end
          
Current calculator valuesUpdates when you change an input above.
              
            
Wolfram Language
            ClearAll[mwCalculate];
mwCalculate[c_, b_] := (c - b);
          
Current calculator valuesUpdates when you change an input above.
              
            

Continue in mathematical software

The downloaded file includes your current inputs and first calculated result. It is created locally.

Floating-point answers can differ slightly by language, compiler and processor. Compare within a suitable tolerance rather than assuming every decimal representation will be identical.

Supporting sourcesAcademic referencesPrimary standards, textbooks and complete citations

Standards, reading and academic references

Use the calculator as the worked interaction, then consult the primary standards and academic textbooks listed below. MW SysArc links to the original sources; the explanation on this page is original and does not reproduce them.

Algebra and Trigonometry 2e

Read the related free OpenStax mathematics chapters
Cite this book
APA 7
Abramson, J. (2021). Algebra and trigonometry 2e. OpenStax. https://openstax.org/books/algebra-and-trigonometry-2e/pages/1-introduction-to-prerequisites
MLA 9
Abramson, Jay. Algebra and Trigonometry 2e. OpenStax, 2021, https://openstax.org/books/algebra-and-trigonometry-2e/pages/1-introduction-to-prerequisites.
Chicago author-date
Abramson, Jay. 2021. Algebra and Trigonometry 2e. Houston, TX: OpenStax. https://openstax.org/books/algebra-and-trigonometry-2e/pages/1-introduction-to-prerequisites.

OpenStax entries are free to read online. Follow the licence shown on each linked source before redistributing or adapting its content.

Reuse the page responsiblyCite this pageAPA, MLA, Chicago, Harvard, BibTeX and RIS

These formats cite this calculator page itself. They are separate from the academic references above, which support the mathematical method and terminology.

APA 7

MW SysArc. (2026, July 21). Rank–Nullity Dimension linear-map rank Solver. MW SysArc Tools. https://math.mwsysarc.com/linear-algebra/rank-nullity-dimension-linear-map-rank-solver

MLA 9

MW SysArc. “Rank–Nullity Dimension linear-map rank Solver.” MW SysArc Tools, 21 July 2026, https://math.mwsysarc.com/linear-algebra/rank-nullity-dimension-linear-map-rank-solver. Accessed 31 Aug. 2026.

Chicago 17

MW SysArc. “Rank–Nullity Dimension linear-map rank Solver.” MW SysArc Tools. Published July 21, 2026. Accessed August 31, 2026. https://math.mwsysarc.com/linear-algebra/rank-nullity-dimension-linear-map-rank-solver.

Harvard

MW SysArc (2026) ‘Rank–Nullity Dimension linear-map rank Solver’, MW SysArc Tools. Published 21 July 2026. Available at: https://math.mwsysarc.com/linear-algebra/rank-nullity-dimension-linear-map-rank-solver (Accessed: 31 August 2026).

BibTeX and RIS records

BibTeX

@misc{mwsysarc_rank_nullity_dimension_solve_a_2026,
  author = {{MW SysArc}},
  title = {Rank–Nullity Dimension linear-map rank Solver},
  howpublished = {MW SysArc Tools},
  year = {2026},
  url = {https://math.mwsysarc.com/linear-algebra/rank-nullity-dimension-linear-map-rank-solver},
  note = {Published July 21, 2026; accessed August 31, 2026}
}

RIS

TY  - ELEC
AU  - MW SysArc
TI  - Rank–Nullity Dimension linear-map rank Solver
T2  - MW SysArc Tools
PY  - 2026
DA  - 2026-07-21
Y2  - 2026-08-31
UR  - https://math.mwsysarc.com/linear-algebra/rank-nullity-dimension-linear-map-rank-solver
N1  - Published July 21, 2026
ER  -

Clear answers

Frequently asked questions

What does the Rank–Nullity Dimension: solve linear-map rank do?

Rearrange the rank–nullity dimension relationship and solve for linear-map rank.

How does the Rank–Nullity Dimension: solve linear-map rank work?

The calculator applies a=c−b. The rank–nullity theorem decomposes a finite-dimensional domain into image and kernel dimensions. This page isolates linear-map rank and verifies it in the original relationship.

What can I learn from the Rank–Nullity Dimension: solve linear-map rank?

It connects the mathematical rule to your chosen numbers and shows each calculation step. Change one input at a time to see how the result responds.

Does MW SysArc receive or store what I enter?

No. The calculation runs locally in your browser. MW SysArc does not receive or store your calculation inputs.

How should I use the result?

Use the steps to understand the method, then verify important school or professional work using the notation and rounding rules required in your setting.

Last reviewed . Calculations tested .

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