Product to Sum Identities
Convert sinA·sinB, cosA·cosB, sinA·cosB to sums and differences. sinA·sinB=½[cos(A-B)-cos(A+B)]. Essential for Fourier analysis and signal processing.
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sinA·sinB=½[cos(A-B)-cos(A+B)] — product of sines becomes difference of cosines. Fourier orthogonality: ∫sin(mx)sin(nx)dx=0 when m≠n — comes from product-to-sum. Product-to-sum is the inverse of sum-to-product.
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Why: Product-to-sum identities convert products to sums — essential for Fourier series, integrals of products, and solving trig equations.
How: Derived from sum/difference formulas: cos(A-B)±cos(A+B) gives 2cosAcosB or -2sinAsinB. Divide by 2 to get the product-to-sum form.
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Product vs Sum Components
Product vs Sum Components
Sum Term Composition
Calculation Breakdown
For educational and informational purposes only. Verify with a qualified professional.
🧮 Fascinating Math Facts
Product-to-sum converts product of trig functions to sum/difference form.
— Wolfram MathWorld
Fourier analysis uses product-to-sum for orthogonality of sin and cos.
— MIT OCW
Key Takeaways
- • sin(A)·sin(B) = ½[cos(A−B) − cos(A+B)] — product of sines becomes difference of cosines; note the minus
- • cos(A)·cos(B) = ½[cos(A−B) + cos(A+B)] — product of cosines becomes sum of cosines; note the plus
- • sin(A)·cos(B) = ½[sin(A+B) + sin(A−B)] — mixed product becomes sum of sines
- • cos(A)·sin(B) = ½[sin(A+B) − sin(A−B)] — same structure, minus between terms
- • Essential in Fourier analysis, signal processing, and integrating products like ∫sin(mx)sin(nx)dx
Did You Know?
How Product-to-Sum Formulas Work
Product-to-sum identities convert products of trig functions into sums. They are derived by adding or subtracting the sum and difference formulas for cosine and sine.
Derivation for sin(A)·sin(B)
cos(A−B) − cos(A+B) = (cosAcosB+sinAsinB) − (cosAcosB−sinAsinB) = 2sinAsinB. So sinAsinB = ½[cos(A−B) − cos(A+B)].
Derivation for cos(A)·cos(B)
cos(A−B) + cos(A+B) = 2cosAcosB. So cosAcosB = ½[cos(A−B) + cos(A+B)].
Fourier & Integration
∫sin(mx)sin(nx)dx: use product-to-sum to get ½∫[cos((m−n)x) − cos((m+n)x)]dx. When m≠n both terms integrate to 0 over [0,2π]; when m=n, cos(0) gives π. This proves Fourier orthogonality.
Expert Tips
Never Forget the ½
Every product-to-sum formula has a factor of ½. Forgetting it doubles your result. The Sum & Difference Calculator gives the building blocks.
sin·sin and cos·cos → cos
Both use cos(A−B) and cos(A+B). sin·sin has minus between terms; cos·cos has plus. See Double Angle for the A=B case.
sin·cos and cos·sin → sin
Both use sin(A+B) and sin(A−B). sin·cos has plus; cos·sin has minus. Order matters: sin(A)cos(B) ≠ cos(A)sin(B) in the formula structure.
Integration Shortcut
∫sin(mx)sin(nx)dx over [0,2π] is 0 for m≠n, π for m=n. Same for cos. Essential for Fourier coefficients. Try the Trig Identities Calculator.
Product-to-Sum vs Other Methods
| Feature | This Calculator | Direct Product | Manual Formula |
|---|---|---|---|
| All 4 product types | ✅ | ✅ | ✅ |
| Sum form conversion | ✅ | ❌ | ✅ |
| Identity verification | ✅ | ❌ | ⚠️ Manual |
| Component breakdown | ✅ | ❌ | ✅ |
| Charts & visualization | ✅ | ❌ | ❌ |
| Fourier context | ✅ | ❌ | ⚠️ |
| Degrees and radians | ✅ | ✅ | ✅ |
| 7 preset examples | ✅ | ❌ | ❌ |
Frequently Asked Questions
How does product-to-sum connect to Fourier analysis?
When multiplying waves of frequencies f₁ and f₂, product-to-sum reveals sum and difference frequencies. Fourier coefficients involve integrals like ∫sin(mx)sin(nx)dx; product-to-sum converts these to integrable form. Orthogonality (integral = 0 for m≠n) follows directly.
Can I use these for integration?
Yes. ∫sin(mx)sin(nx)dx, ∫cos(mx)cos(nx)dx, ∫sin(mx)cos(nx)dx all become straightforward after product-to-sum. Over [0,2π], ∫sin(mx)sin(nx)dx = 0 for m≠n and π for m=n.
Why is there a ½ in every formula?
When we add cos(A−B) and cos(A+B), we get 2cosAcosB. So cosAcosB = ½[cos(A−B)+cos(A+B)]. The ½ comes from solving for the product.
What is the difference between sin·sin and cos·cos?
sin(A)sin(B) = ½[cos(A−B) − cos(A+B)] has a minus. cos(A)cos(B) = ½[cos(A−B) + cos(A+B)] has a plus. Both use cos(A−B) and cos(A+B), but the sign between them differs.
Where is product-to-sum used in signal processing?
Amplitude modulation (AM), frequency mixing, heterodyning, and demodulation. Multiplying two sinusoids produces sum and difference frequencies — the basis of radio and radar.
How do I derive sin(A)cos(B)?
sin(A+B) + sin(A−B) = (sinAcosB+cosAsinB) + (sinAcosB−cosAsinB) = 2sinAcosB. So sinAcosB = ½[sin(A+B) + sin(A−B)].
What is sum-to-product?
The reverse: sinA + sinB = 2sin((A+B)/2)cos((A−B)/2), etc. Product-to-sum converts products to sums; sum-to-product converts sums to products.
Why are these called prosthaphaeresis formulas?
Historically, before logarithms, astronomers used these to convert products to sums for easier computation — "prosthaphaeresis" means addition and subtraction.
Product-to-Sum by the Numbers
Official & Educational Sources
Disclaimer: This calculator provides results based on standard IEEE 754 floating-point arithmetic. Results are accurate to approximately 15 significant digits. For mission-critical applications (aerospace, medical devices), always verify with certified computational tools. Not a substitute for professional engineering analysis.
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