Inverse DFT Calculator
Inverse DFT x[n]=(1/N) Σ X[k] e^{2πi kn/N}, N≤64, Numpy backward. Same engine as Discrete Fourier Transform. Radix-2 FFT is on /fft. Not Laplace. Runs locally.
Enter values to calculate.
Trust summary CVP VERIFIED · CVP protocol 1.0.0-proposed · Core assurance · all published modes
- Input interpretation
- Enter values to calculate.
- Result
- —
- Verified scope
- all published modes
- Assurance
- Core
- Declared partition coverage
- PASS · 7/7 declared partitions (scaled-components, numerical-range, dft, idft, fft, ifft, invalid-domain) · Matrix
- Known limitations
- Core CVP does not include live graph, viewport, or pointer interaction.
- Model
- Numpy-backward inverse DFT of a length-N sequence, N≤64, with an engine-linked stem figure of |x[n]|.
- Scope
- Mode locked to idft
- Verification
- Engine tested · Specification checked · v1.2.1 · CVP VERIFIED · CVP protocol 1.0.0-proposed · Core assurance · all published modes· View Manifest · CVP overview · Specification
- Versions
- Calculation 1.2.1 · CVP protocol 1.0.0-proposed · Evidence 2026-10-09.dft-complete-json-mobile
- Verification revision
- 2026-10-09.dft-complete-json-mobile · 1/1 property · digest 803f88691f89
- Legacy regression
- 17/17 tests · Production surface contract 5/5
- Trust layers
- Verification VERIFIED · Production CURRENT · Overall CVP state: VERIFIED under CVP 1.0.0-proposed
- Reference
- O1 model · O2 expected_values · O2 numerical_behavior
- Interfaces
- PASS · UI (SSR) / REST / MCP
- Supplemental domain review
- Not performed
- Named expert review
- Not performed
- CVP suite
- 13/13 golden · 3/3 CVP boundary · 10/10 invalid · 1/1 property · 7/7 cross-interface · 5/5 CVP contract · Manifest
- Specification basis
- ISO 80000-2:2019 Quantities and units — Mathematics
- Evidence
- 6 legacy golden · 3 legacy boundary · legacy regression suite · 13/13 oracle-backed golden · 10/10 invalid · Artifact integrity PASS
- Semantic contract
- PASS
Full verification
Formulas
Core equations used by this calculator.
How to use
Enter X[k] as samples
Real list, optional im of the same length. N must be 1–64. Default 4,0,0,0.
Read x[n]
DC spectrum 4,0,0,0 inverts to 1,1,1,1. Round-trip with /dft recovers the sequence. The stem figure shows |x[n]| with the marker at n=0.
Example calculations
Common configurations with formula and result.
Inverse DC
samples = 4,0,0,0
Inverse all-ones
samples = 1,1,1,1
Inverse DFT calculator specification
Version 1.2.1 · Engine tested
- Engine tested 17/17 tests · Production surface contract 5/5
- Named expert review Not performed
- Calculation version 1.2.1
- Definition
- The Numpy-backward inverse DFT is x[n]=(1/N) Σ_k X[k] e^{2πi kn/N}. This page is mode=idft on math.transform.dft. Direct O(N²), N≤64. Forward DFT lives on the sibling discovery URL. Not FFT. Not Laplace. Not CAS.
- What it calculates
- Numpy-backward inverse DFT of a length-N sequence, N≤64, with an engine-linked stem figure of |x[n]|.
- Inputs
- samples
- im?
- Outputs
- n
- re
- im
- mag
- Formula
x[n] = (1/N) Σ_k X[k] e^{2πi kn/N}- Assumptions
- Mode locked to idft
- Direct O(N²), N≤64, Numpy backward 1/N
- The Result Card includes an engine-linked stem figure of |x[n]| (marker is n=0 / published x[0]). Same mag as REST/MCP.
- Not this page's FFT — radix-2 is on /fft
- Not Laplace, not CAS
- Units
- dimensionless
- Boundary conditions
- empty samples → INVALID_INPUT
- N > 64 → INVALID_INPUT
- unknown mode → INVALID_MODE
- Example
- samples=4,0,0,0 → x=[1,1,1,1]
- Validation cases
2 published on this page · 17/17 tests · Production surface contract 5/5 · View evidence
- samples=4,0,0,0 → re=[1,1,1,1]
- mode=laplace → INVALID_MODE
- Specification basis
- ISO 80000-2:2019 Quantities and units — Mathematics
- Calculation version
- 1.2.1
Related tools
Other calculators in this family: DFT Calculator, Discrete Fourier Transform Calculator, FFT Calculator, Inverse FFT Calculator, Inverse Laplace Calculator, Inverse Z Calculator, Laplace Transform Calculator, Z Transform Calculator . Explore all Transforms.
Frequently asked questions
Key distinctions behind the calculation.
Is this a second DFT engine?
No. It is mode=idft on math.transform.dft, the same engine as /calc/math/discrete-fourier-transform.
Why 1/N here?
Numpy backward puts the 1/N scale on the inverse. The forward DFT on /dft is unnormalized.
Where does this run?
Locally in the browser by default. REST and MCP call the same discrete-fourier-transform engine.